Causal relationship between iron status and preeclampsia-eclampsia: a Mendelian randomization analysis

BACKGROUND

Preeclampsia/eclampsia is a severe pregnancy-related disorder associated with hypertension and organ damage. While observational studies have suggested a link between maternal iron status and preeclampsia/eclampsia, the causal relationship remains unclear. The aim of this study was to investigate the genetic causality between iron status and preeclampsia/eclampsia using large-scale genome-wide association study (GWAS) summary data and Mendelian randomization (MR) analysis.

METHODS

Summary data for the GWAS on preeclampsia/eclampsia and genetic markers related to iron status were obtained from the FinnGen Consortium and the IEU genetic databases. The "TwoSampleMR" software package in R was employed to test the genetic causality between these markers and preeclampsia/eclampsia. The inverse variance weighted (IVW) method was primarily used for MR analysis. Heterogeneity, horizontal pleiotropy, and potential outliers were evaluated for the MR analysis results.

RESULTS

The random-effects IVW results showed that ferritin (OR = 1.11, 95% CI: .89-1.38, p = .341), serum iron (OR = .90, 95% CI: .75-1.09, p = .275), TIBC (OR = .98, 95% CI: .89-1.07, p = .613), and TSAT (OR = .94, 95% CI: .83-1.07, p = .354) have no genetic causal relationship with preeclampsia/eclampsia. There was no evidence of heterogeneity, horizontal pleiotropy, or possible outliers in our MR analysis (p > .05).

CONCLUSIONS

Our study did not detect a genetic causal relationship between iron status and preeclampsia/eclampsia. Nonetheless, this does not rule out a relationship between the two at other mechanistic levels.

RNA binding motif 4 inhibits the replication of ebolavirus by directly targeting 3'-leader region of genomic RNA

Ebola virus (EBOV) belongs to Filoviridae family possessing single-stranded negative-sense RNA genome, which is a serious threat to human health. Nowadays, no therapeutics have been proven to be successful in efficiently decreasing the mortality rate. RNA binding proteins (RBPs) are reported to participate in maintaining cell integrity and regulation of viral replication. However, little is known about whether and how RBPs participate in regulating the life cycle of EBOV. In our study, we found that RNA binding motif protein 4 (RBM4) inhibited the replication of EBOV in HEK293T and Huh-7 cells by suppressing viral mRNA production. Such inhibition resulted from the direct interaction between the RRM1 domain of RBM4 and the "CU" enrichment elements located in the PE1 and TSS of the 3'-leader region within the viral genome. Simultaneously, RBM4 could upregulate the expression of some cytokines involved in the host innate immune responses to synergistically exert its antiviral function. The findings therefore suggest that RBM4 might serve as a novel target of anti-EBOV strategy.

Achieving robust synthetic tolerance in industrial E. coli through negative auto-regulation of a DsrA-Hfq module

In industrial fermentation processes, microorganisms often encounter acid stress, which significantly impact their productivity. This study focused on the acid-resistant module composed of small RNA (sRNA) DsrA and the sRNA chaperone Hfq. Our previous study had shown that this module improved the cell growth of Escherichia coli MG1655 at low pH, but failed to obtain this desired phenotype in industrial strains. Here, we performed a quantitative analysis of DsrA-Hfq module to determine the optimal expression mode. We then assessed the potential of the CymR-based negative auto-regulation (NAR) circuit for industrial application, under different media, strains and pH levels. Growth assay at pH 4.5 revealed that NAR-05D04H circuit was the best acid-resistant circuit to improve the cell growth of E. coli MG1655. This circuit was robust and worked well in the industrial lysine-producing strain E. coli SCEcL3 at a starting pH of 6.8 and without pH control, resulting in a 250 % increase in lysine titer and comparable biomass in shaking flask fermentation compared to the parent strain. This study showed the practical application of NAR circuit in regulating DsrA-Hfq module, effectively and robustly improving the acid tolerance of industrial strains, which provides a new approach for breeding industrial strains with tolerance phenotype.

NRG Oncology Assessment of Artificial Intelligence Deep Learning-Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions

Deep learning neural networks (DLNN) in Artificial intelligence (AI) have been extensively explored for automatic segmentation in radiotherapy (RT). In contrast to traditional model-based methods, data-driven AI-based models for auto-segmentation have shown high accuracy in early studies in research settings and controlled environment (single institution). Vendor-provided commercial AI models are made available as part of the integrated treatment planning system (TPS) or as a stand-alone tool that provides streamlined workflow interacting with the main TPS. These commercial tools have drawn clinics' attention thanks to their significant benefit in reducing the workload from manual contouring and shortening the duration of treatment planning. However, challenges occur when applying these commercial AI-based segmentation models to diverse clinical scenarios, particularly in uncontrolled environments. Contouring nomenclature and guideline standardization has been the main task undertaken by the NRG Oncology. AI auto-segmentation holds the potential clinical trial participants to reduce interobserver variations, nomenclature non-compliance, and contouring guideline deviations. Meanwhile, trial reviewers could use AI tools to verify contour accuracy and compliance of those submitted datasets. In recognizing the growing clinical utilization and potential of these commercial AI auto-segmentation tools, NRG Oncology has formed a working group to evaluate the clinical utilization and potential of commercial AI auto-segmentation tools. The group will assess in-house and commercially available AI models, evaluation metrics, clinical challenges, and limitations, as well as future developments in addressing these challenges. General recommendations are made in terms of the implementation of these commercial AI models, as well as precautions in recognizing the challenges and limitations.

Three-dimensional pseudo-continuous arterial spin-labelled perfusion imaging for diagnosing upper cervical lymph node metastasis in patients with nasopharyngeal carcinoma: a whole-node histogram analysis

AIM

To evaluate whole-node histogram parameters of blood flow (BF) maps derived from three-dimensional pseudo-continuous arterial spin-labelled (3D pCASL) imaging in discriminating metastatic from benign upper cervical lymph nodes (UCLNs) for nasopharyngeal carcinoma (NPC) patients.

MATERIALS AND METHODS

Eighty NPC patients with a total of 170 histologically confirmed UCLNs (67 benign and 103 metastatic) were included retrospectively. Pre-treatment 3D pCASL imaging was performed and whole-node histogram analysis was then applied. Histogram parameters and morphological features, such as minimum axis diameter (MinAD), maximum axis diameter (MaxAD), and location of UCLNs, were assessed and compared between benign and metastatic lesions. Predictors were identified and further applied to establish a combined model by multivariate logistic regression in predicting the probability of metastatic UCLNs. Receiver operating characteristic (ROC) curves were used to analyse the diagnostic performance.

RESULTS

Metastatic UCLNs had larger MinAD and MinAD/MaxAD ratio, greater energy and entropy values, and higher incidence of level II (upper jugular group), but lower BF10th value than benign nodes (all p<0.05). MinAD, BF10th, energy, and entropy were validated as independent predictors in diagnosing metastatic UCLNs. The combined model yielded an area under the curve (AUC) of 0.932, accuracy of 84.42 %, sensitivity of 80.6 %, and specificity of 90.29 %.

CONCLUSIONS

Whole-node histogram analysis on BF maps is a feasible tool to differentiate metastatic from benign UCLNs in NPC patients, and the combined model can further improve the diagnostic efficacy.

[Short-term efficacy and safety of cardiac contractility modulation in patients with heart failure]

Objective: To investigate the short-term efficacy and safety of cardiac contractility modulation (CCM) in patients with heart failure. Methods: This was a cross-sectional study of patients with heart failure who underwent CCM placement at the First Affiliated Hospital of Xinjiang Medical University from February to June 2022. With a follow-up of 3 months, CCM sensation, impedance, percent output, and work time were monitored, and patients were compared with pre-and 3-month postoperative left ventricular ejection fraction (LVEF) values, and 6-minute walk test distance and New York Heart Association (NYHA) cardiac function classification, and the occurrence of complications was recorded. Results: CCM was successfully implanted in all 9 patients. Seven(7/9) of them were male, aged (56±14) years, 3 patients had ischaemic cardiomyopathy and 6 patients had dilated cardiomyopathy. At 3-month postoperative follow-up, threshold was stable, sense was significantly lower at follow-up than before (right ventricle: (16.3±7.0) mV vs. (8.2±1.1) mV, P<0.05; local sense: (15.7±4.9) mV vs. (6.7±2.5) mV, P<0.05), and impedance was significantly lower at follow-up than before (right ventricle (846±179) Ω vs. (470±65) Ω, P<0.05, local sense: (832±246) Ω vs. (464±63) Ω, P<0.05). The CCM output percentage was (86.9±10.7) %, the output amplitude was (6.7±0.4) V, and the daily operating time was (8.6±1.0) h. LVEF was elevated compared to preoperative ((29.4±5.2) % vs. (38.3±4.3) %, P<0.05), the 6-minute walk test was significantly longer than before ((96.8±66.7)m vs. (289.3±121.7)m, P<0.05). No significant increase in the number of NYHA Class Ⅲ-Ⅳ patients was seen (7/9 vs. 2/9, P>0.05). The patient was not re-hospitalised for worsening heart failure symptoms, had no malignant arrhythmic events and experienced significant relief of symptoms such as chest tightness and shortness of breath. No postoperative complications related to pocket hematoma, pocket infection and rupture, electrode detachment, valve function impairment, pericardial effusion, or cardiac perforation were found. Conclusions: CCM has better short-term safety and efficacy in patients with heart failure.

Automatic Detection of Scalp High-Frequency Oscillations Based on Deep Learning

Scalp high-frequency oscillations (sHFOs) are a promising non-invasive biomarker of epilepsy. However, the visual marking of sHFOs is a time-consuming and subjective process, existing automatic detectors based on single-dimensional analysis have difficulty with accurately eliminating artifacts and thus do not provide sufficient reliability to meet clinical needs. Therefore, we propose a high-performance sHFOs detector based on a deep learning algorithm. An initial detection module was designed to extract candidate high-frequency oscillations. Then, one-dimensional (1D) and two-dimensional (2D) deep learning models were designed, respectively. Finally, the weighted voting method is used to combine the outputs of the two model. In experiments, the precision, recall, specificity and F1-score were 83.44%, 83.60%, 96.61% and 83.42%, respectively, on average and the kappa coefficient was 80.02%. In addition, the proposed detector showed a stable performance on multi-centre datasets. Our sHFOs detector demonstrated high robustness and generalisation ability, which indicates its potential applicability as a clinical assistance tool. The proposed sHFOs detector achieves an accurate and robust method via deep learning algorithm.

High-resolution 3T to 7T ADC map synthesis with a hybrid CNN-transformer model

BACKGROUND

7 Tesla (7T) apparent diffusion coefficient (ADC) maps derived from diffusion-weighted imaging (DWI) demonstrate improved image quality and spatial resolution over 3 Tesla (3T) ADC maps. However, 7T magnetic resonance imaging (MRI) currently suffers from limited clinical unavailability, higher cost, and increased susceptibility to artifacts.

PURPOSE

To address these issues, we propose a hybrid CNN-transformer model to synthesize high-resolution 7T ADC maps from multimodal 3T MRI.

METHODS

The Vision CNN-Transformer (VCT), composed of both Vision Transformer (ViT) blocks and convolutional layers, is proposed to produce high-resolution synthetic 7T ADC maps from 3T ADC maps and 3T T1-weighted (T1w) MRI. ViT blocks enabled global image context while convolutional layers efficiently captured fine detail. The VCT model was validated on the publicly available Human Connectome Project Young Adult dataset, comprising 3T T1w, 3T DWI, and 7T DWI brain scans. The Diffusion Imaging in Python library was used to compute ADC maps from the DWI scans. A total of 171 patient cases were randomly divided into 130 training cases, 20 validation cases, and 21 test cases. The synthetic ADC maps were evaluated by comparing their similarity to the ground truth volumes with the following metrics: peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), and mean squared error (MSE). In addition, RESULTS: The results are as follows: PSNR: 27.0 ± 0.9 dB, SSIM: 0.945 ± 0.010, and MSE: 2.0E-3 ± 0.4E-3. Both qualitative and quantitative results demonstrate that VCT performs favorably against other state-of-the-art methods. We have introduced various efficiency improvements, including the implementation of flash attention and training on 176×208 resolution images. These enhancements have resulted in the reduction of parameters and training time per epoch by 50% in comparison to ResViT. Specifically, the training time per epoch has been shortened from 7.67 min to 3.86 min.

CONCLUSION

We propose a novel method to predict high-resolution 7T ADC maps from low-resolution 3T ADC maps and T1w MRI. Our predicted images demonstrate better spatial resolution and contrast compared to 3T MRI and prediction results made by ResViT and pix2pix. These high-quality synthetic 7T MR images could be beneficial for disease diagnosis and intervention, producing higher resolution and conformal contours, and as an intermediate step in generating synthetic CT for radiation therapy, especially when 7T MRI scanners are unavailable.

Take CT, get PET free: AI-powered breakthrough in lung cancer diagnosis and prognosis

PET scans provide additional clinical value but are costly and not universally accessible. Salehjahromi et al.1 developed an AI-based pipeline to synthesize PET images from diagnostic CT scans, demonstrating its potential clinical utility across various clinical tasks for lung cancer.

Self-powered photoelectrochemical immunosensing platform for sensitive CEA detection using dual-photoelectrode synergistic signal amplification

Self-powered photoelectrochemical (PEC) sensing, as an emerging sensing mode, can effectively solve the problems such as weak anti-interference ability and poor signal response of individual photoanode or photocathode sensing. In this work, an ITO/Co-CuInS2 photocathode and ITO/WO3@CdS photoanode based self-powered cathodic PEC immunosensor was developed, which integrated dual-photoelectrode to synergistic amplify the signal for highly sensitive and specific detection of carcinoembryonic antigen (CEA). The self-powered PEC sensor could drive electrons transfer through the difference in Fermi levels between the two photoelectrodes without an external bias voltage. The photoanode was introduced to amplify the photoelectric signal, and the photocathode was only designed for the construction of sensing interfaces. The proposed sensor quantitatively determined the target CEA with the detection limit of 0.23 pg/mL and a linear correlation confine of 0.1 pg/mL ∼100 ng/mL. The constructed immunosensing platform exhibited high sensitivity, satisfactory stability and great biological detection selectivity, providing a feasible and effective strategy for the manufacture of new self-powered sensors in high-performance PEC bioanalytical applications.

Simplified integration of optimal self-management behaviors is associated with improved HbA1c in patients with type 1 diabetes

PURPOSE

Living with type 1 diabetes requires burdensome and complex daily diabetes self-management behaviors. This study aimed to determine the association between integrated behavior performance and HbA1c, while identifying the behavior with the most significant impact on HbA1c.

METHODS

A simple and feasible questionnaire was used to collect diabetes self-management behavior in patients with type 1 diabetes (n = 904). We assessed six dimensions of behavior performance: continuous glucose monitor (CGM) usage, frequent glucose testing, insulin pump usage, carbohydrate counting application, adjustment of insulin doses, and usage of apps for diabetes management. We evaluated the association between these behaviors and HbA1c.

RESULTS

In total, 21.3% of patients performed none of the allotted behavior, while 28.5% of patients had a total behavior score of 3 or more. 63.6% of patients with a behavior score ≥ 3 achieved HbA1c goal, contrasting with only 30.4% of patients with a behavior score of 0-1. There was a mean 0.54% ± 0.05% decrease in HbA1c for each 1-unit increase in total behavior score after adjustment for age, family education and diabetes duration. Each behavior was independently correlated with a lower HbA1c level, with CGM having the most significant effect on HbA1c levels.

CONCLUSIONS

Six optimal self-management behaviors, especially CGM usage, were associated with improved glycemic control, emphasizing the feasibility of implementing a simplified version of DSMES in the routine clinical care.

REGISTRATION NUMBER

ClinicalTrials.gov Identifier: NCT03610984.

Legumain-Triggered Macrocyclization of Radiofluorinated Tracer for Enhanced PET Imaging

Enhancing the accumulation and retention of small-molecule probes in tumors is an important way to achieve accurate cancer diagnosis and therapy. Enzyme-stimulated macrocyclization of small molecules possesses great potential for enhanced positron emission tomography (PET) imaging of tumors. Herein, we reported an 18F-labeled radiotracer [18F]AlF-RSM for legumain detection in vivo. The tracer was prepared by a one-step aluminum-fluoride-restrained complexing agent ([18F]AlF-RESCA) method with high radiochemical yield (RCY) (88.35 ± 3.93%) and radiochemical purity (RCP) (>95%). More notably, the tracer can be transformed into a hydrophobic macrocyclic molecule under the joint action of legumain and reductant. Simultaneously, the tracer could target legumain-positive tumors and enhance accumulation and retention in tumors, resulting in the amplification of PET imaging signals. The enhancement of radioactivity enables PET imaging of legumain activity with high specificity. We envision that, by combining this highly efficient 18F-labeled strategy with our intramolecular macrocyclization reaction, a range of radiofluorinated tracers can be designed for tumor PET imaging and early cancer diagnosis in the future.

The Transcription Factor Zfp335 Promotes Differentiation and Survival of Effector Th1 Cells by Directly Regulating Lmna Expression

Ag-specific effector CD4+ T cells play a crucial role in defending against exogenous pathogens. However, the mechanisms governing the differentiation and function of IFN-γ-producing effector CD4+ Th1 cells in immune responses remain largely unknown. In this study, we elucidated the pivotal role of zinc finger protein 335 (Zfp335) in regulating effector Th1 cell differentiation and survival during acute bacterial infection. Mice with Zfp335 knockout in OT-II cells exhibited impaired Ag-specific CD4+ T cell expansion accompanied by a significant reduction in resistance to Listeria infection. Furthermore, Zfp335 deficiency restricted the effector CD4+ Th1 cell population and compromised their survival upon Listeria challenge. The expression of T-bet and IFN-γ was accordingly decreased in Zfp335-deficient Th1 cells. Mechanistically, Zfp335 directly bound to the promoter region of the Lmna gene and regulated its expression. Overexpression of Lmna was able to rescue the survival and function of Zfp335-deficient effector Th1 cells. Therefore, our study provides novel insights into the mechanisms governing effector Th1 cell differentiation and survival during acute infection.

[Evaluation of semicircular canal and otolith graviceptive pathway function in patients diagnosed with motion sickness disorder based on the diagnostic criteria of the Bárány society]

Objective: To investigate the altered function of the semicircular canal and otolith graviceptive pathway in patients diagnosed with motion sickness disorder (MSD) based on the diagnostic criteria of the Bárány society, and explore its relevance to the pathogenesis of MSD. Methods: This is a case-control study. Twenty patients with MSD and age-and sex-matched healthy controls without a history of MSD from the Department of Neurology of Aerospace Center Hospital between March and August 2022 were recruited. All subjects completed the motion sickness susceptibility questionnaire-short version (MSSQ-short) and the motion sickness assessment questionnaire (MSAQ). Canal function was evaluated using caloric stimulation test and video head impulse test (vHIT), and subjective visual vertical/horizontal (SVV/SVH) and vestibular evoked myogenic potential (VEMP) were employed to assess otolith graviceptive function. Differences in vestibular function and correlations between the two groups were analyzed. Results: Each group consisted of 20 cases (9 males and 11 females). The mean age of the MSD and control groups was (26.9±3.9) years and (27.0±3.4) years, respectively. The scores of MSSQ-short [27.0 (22.5, 38.8) vs 1.2 (0, 3.2), P<0.001] and MSAQ [70.1 (54.5, 78.1) vs 11.8 (11.1, 13.9), P<0.001] were significantly higher in the MSD group compared with those of the control group. Evaluation of canal function revealed a significantly higher incidence of caloric stimulation intolerance in MSD patients (60.0%, 12/20) compared with that of the control group (20.0%, 4/20) (P=0.010). Evaluation of otolith graviceptive pathway indicated no significant difference in SVV, SVH and cervical VEMP (cVEMP) abnormality rates between the two groups (all P>0.05). The ocular VEMP (oVEMP) abnormality rate was significantly higher in the MSD group (55.0%, 11/20) than that of the control group (10.0%, 2/20) (P=0.002), with a delayed P1-wave latency compared with the control group [(18.4±1.2) ms vs (17.6±0.8) ms, P=0.018]. Further correlation analysis revealed that P1-wave latency in oVEMP was positively correlated with MSSQ-short (r=0.486, P=0.002) and MSAQ (r=0.391, P=0.015) scores, and duration of caloric intolerance symptoms (r=0.377, P=0.004). Conclusion: The presence of hypersensitivity to caloric stimulation and delayed latency of otolith function in patients with MSD suggests a "separation" between semicircular canal and otolithic function, which may be related to sensory conflict.

Full-dose whole-body PET synthesis from low-dose PET using high-efficiency denoising diffusion probabilistic model: PET consistency model

PURPOSE

Positron Emission Tomography (PET) has been a commonly used imaging modality in broad clinical applications. One of the most important tradeoffs in PET imaging is between image quality and radiation dose: high image quality comes with high radiation exposure. Improving image quality is desirable for all clinical applications while minimizing radiation exposure is needed to reduce risk to patients.

METHODS

We introduce PET Consistency Model (PET-CM), an efficient diffusion-based method for generating high-quality full-dose PET images from low-dose PET images. It employs a two-step process, adding Gaussian noise to full-dose PET images in the forward diffusion, and then denoising them using a PET Shifted-window Vision Transformer (PET-VIT) network in the reverse diffusion. The PET-VIT network learns a consistency function that enables direct denoising of Gaussian noise into clean full-dose PET images. PET-CM achieves state-of-the-art image quality while requiring significantly less computation time than other methods. Evaluation with normalized mean absolute error (NMAE), peak signal-to-noise ratio (PSNR), multi-scale structure similarity index (SSIM), normalized cross-correlation (NCC), and clinical evaluation including Human Ranking Score (HRS) and Standardized Uptake Value (SUV) Error analysis shows its superiority in synthesizing full-dose PET images from low-dose inputs.

RESULTS

In experiments comparing eighth-dose to full-dose images, PET-CM demonstrated impressive performance with NMAE of 1.278 ± 0.122%, PSNR of 33.783 ± 0.824 dB, SSIM of 0.964 ± 0.009, NCC of 0.968 ± 0.011, HRS of 4.543, and SUV Error of 0.255 ± 0.318%, with an average generation time of 62 s per patient. This is a significant improvement compared to the state-of-the-art diffusion-based model with PET-CM reaching this result 12× faster. Similarly, in the quarter-dose to full-dose image experiments, PET-CM delivered competitive outcomes, achieving an NMAE of 0.973 ± 0.066%, PSNR of 36.172 ± 0.801 dB, SSIM of 0.984 ± 0.004, NCC of 0.990 ± 0.005, HRS of 4.428, and SUV Error of 0.151 ± 0.192% using the same generation process, which underlining its high quantitative and clinical precision in both denoising scenario.

CONCLUSIONS

We propose PET-CM, the first efficient diffusion-model-based method, for estimating full-dose PET images from low-dose images. PET-CM provides comparable quality to the state-of-the-art diffusion model with higher efficiency. By utilizing this approach, it becomes possible to maintain high-quality PET images suitable for clinical use while mitigating the risks associated with radiation. The code is availble at https://github.com/shaoyanpan/Full-dose-Whole-body-PET-Synthesis-from-Low-dose-PET-Using-Consistency-Model.

Intracorporeal versus extracorporeal anastomosis in laparoscopic right hemicolectomy for overweight colon cancer patients: a case-control study

INTRODUCTION

Either extracorporeal anastomosis (EA) or intracorporeal anastomosis (IA) could be selected for digestive reconstruction in laparoscopic right hemicolectomy (LRH). However, whether LRH with IA is feasible and beneficial for overweight right-side colon cancer (RCC) is unclear. This study aims to investigate the feasibility and advantage of IA in LRH for overweight RCC.

METHODS

Forty-eight consecutive overweight RCC patients undergoing LRH with IA were matched with 48 consecutive cases undergoing LRH with EA. Both clinical and surgical data were collected and analyzed.

RESULTS

The incidence of postoperative complications was 20.8% (10/48) in the EA group and 14.6% (7/48) in the IA group respectively, with no statistical difference. Compared to the EA group, patients in the IA group revealed faster gas (40.2 + 7.8 h vs. 45.6 + 7.9 h, P = 0.001) and stool discharge (4.0 + 1.2 d vs. 4.5 + 1.1 d, P = 0.040), shorter assisted incision (5.3 + 1.3 cm vs. 7.5 + 1.2 cm, P = 0.000), and less analgesic used (3.3 + 1.3 d vs. 4.0 + 1.3 d, P = 0.012). There were no significant differences in operation time, blood loss, or postoperative hospital stays. In the IA group, the first one third of cases presented longer operation time (228.4 + 29.3 min) compared to the middle (191.0 + 35.0 min, P = 0.003) and the last one third of patients (182.2 + 20.7 min, P = 0.000).

CONCLUSION

LRH with IA is feasible and safe for overweight RCC, with faster bowel function recovery and less pain. Accumulation of certain cases of LRH with IA will facilitate surgical procedures and reduce operation time.

GTPBP8 modulates mitochondrial fission through a Drp1-dependent process

Mitochondrial fission is a tightly regulated process involving multiple proteins and cell signaling. Despite extensive studies on mitochondrial fission factors, our understanding of the regulatory mechanisms remains limited. This study shows the critical role of a mitochondrial GTPase, GTPBP8, in orchestrating mitochondrial fission. Depletion of GTPBP8 resulted in drastic elongation and interconnectedness of mitochondria. Conversely, overexpression of GTPBP8 shifted mitochondrial morphology from tubular to fragmented. Notably, the induced mitochondrial fragmentation from GTPBP8 overexpression was inhibited in cells either depleted of the mitochondrial fission protein Drp1 or carrying mutated forms of Drp1. Importantly, downregulation of GTPBP8 caused an increase in oxidative stress, modulating cell signaling involved in the heightened phosphorylation of Drp1 at Ser637. This phosphorylation hindered the recruitment of Drp1 to mitochondria, leading to mitochondrial fission defects. On the other hand, GTPBP8 overexpression triggered enhanced recruitment and assembly of Drp1 to mitochondria. In summary, our study illuminates the cellular function of GTPBP8 as a pivotal modulator of the mitochondrial division apparatus, inherently reliant on its influence on Drp1.

The comparative study of two new Schiff bases derived from 5-(thiophene-2-yl)isoxazole as "Off-On-Off" fluorescence sensors for the sequential detection of Ga3+ and Fe3+ ions

Two new Schiff bases, TIC ((E)-N'-(2-hydroxybenzylidene)-5-(thiophene-2-yl)isoxazole-3-carbohydrazide) and TIE ((E)-N'-(3-ethoxy-2-hydroxybenzylidene)-5-(thiophene-2-yl)isoxazole-3-carbohydrazide), have been designed and synthesized as chemosensors for distinct recognition of Ga3+ and Fe3+ ions. TIE demonstrated a prominent "turn on" response characterized by clear distinguished fluorescence when coordination with Ga3+ ions in the DMSO/H2O buffer solution. In comparison, TIC also showed "turn on" response of blue fluorescence which was more selective and sensitive than that of TIE due to the steric hindrance of ethoxy group of TIE. The newly formed complexes TIC-Ga3+ and TIE-Ga3+ may act as selective "turn-off" fluorescent probes towards Fe3+ ions. Limits of detection of TIC and TIE towards Ga3+ ions were 7.8809 × 10-9 M and 2.6277 × 10-8 M, respectively. Limits of detection of TIC-Ga3+ and TIE-Ga3+ towards Fe3+ ions were 8.6562 × 10-9 M and 3.3764 × 10-7 M, respectively. The molar ratio of the complex between the sensor and Ga3+ or Fe3+ ions were all 1:2 determined through Job's Plot, mass spectrometry, and theoretical calculations. Both sensors were utilized for the determination of target ions in environment water samples, and the portable paper sensors for detecting Ga3+ ions have been successfully developed.

Hemodynamic property incorporated brain tumor segmentation by deep learning and density-based analysis of dynamic susceptibility contrast-enhanced magnetic resonance imaging (MRI)

Background

Magnetic resonance imaging (MRI) is a primary non-invasive imaging modality for tumor segmentation, leveraging its exceptional soft tissue contrast and high resolution. Current segmentation methods typically focus on structural MRI, such as T1-weighted post-contrast-enhanced or fluid-attenuated inversion recovery (FLAIR) sequences. However, these methods overlook the blood perfusion and hemodynamic properties of tumors, readily derived from dynamic susceptibility contrast (DSC) enhanced MRI. This study introduces a novel hybrid method combining density-based analysis of hemodynamic properties in time-dependent perfusion imaging with deep learning spatial segmentation techniques to enhance tumor segmentation.

Methods

First, a U-Net convolutional neural network (CNN) is employed on structural images to delineate a region of interest (ROI). Subsequently, Hierarchical Density-Based Scans (HDBScan) are employed within the ROI to augment segmentation by exploring intratumoral hemodynamic heterogeneity through the investigation of tumor time course profiles unveiled in DSC MRI.

Results

The approach was tested and evaluated using a cohort of 513 patients from the open-source University of Pennsylvania glioblastoma database (UPENN-GBM) dataset, achieving a 74.83% Intersection over Union (IoU) score when compared to structural-only segmentation. The algorithm also exhibited increased precision and localized predictions of heightened segmentation boundary complexity, resulting in a 146.92% increase in contour complexity (ICC) compared to the reference standard provided by the UPENN-GBM dataset. Importantly, segmenting tumors with the developed new approach uncovered a negative correlation of the tumor volume with the scores in the Karnofsky Performance Scale (KPS) clinically used for assessing the functional status of patients (-0.309), which is not observed with the prevailing segmentation standard.

Conclusions

This work demonstrated that including hemodynamic properties of tissues from DSC MRI can improve existing structural or morphological feature-based tumor segmentation techniques with additional information on tumor biology and physiology. This approach can also be applied to other clinical indications that use perfusion MRI for diagnosis or treatment monitoring.

Causal relationship between gestational diabetes and preeclampsia: A bidirectional mendelian randomization analysis

AIMS

The study aimed to explore the potential causal link between gestational diabetes mellitus (GDM) and preeclampsia (PE) using a bidirectional mendelian randomization (MR) analysis.

MATERIALS

We conducted a bidirectional MR analysis to investigate the causal relationship between GDM and PE. Data from public genome-wide association studies (GWAS) for GDM and PE were obtained from the FinnGen consortium. Various MR methods were employed, including inverse-variance weighted (IVW), MR-Egger, and sensitivity analyses. Additionally, a knowledge-based approach identified genes underlying this potential connection.

RESULTS

The IVW method revealed a lack of significant association between GDM and PE (OR: 1.04, 95 % CI: 0.96-1.14; p = 0.275). Conversely, IVW analysis indicated a causal connection from PE to GDM (OR: 1.14, 95 % CI: 1.06-1.23; p < 0.001). Molecular pathway analysis identified 20 key genes, including ASAP2, central to the PE-GDM relationship. Tissue enrichment analysis showed pertinent gene expression in significant tissues. Moreover, lower ASAP2 expression was detected in PE patients' placentas.

CONCLUSIONS

Our bidirectional MR analysis offers evidence supporting a causal link between PE and GDM, elucidating their interconnected pathogenesis. Genetic and knowledge-based insights facilitate a deeper comprehension of these complex pregnancy complications.

Total scalp irradiation: A study comparing multiple types of bolus and VMAT optimization techniques

PURPOSE

To investigate bolus design and VMAT optimization settings for total scalp irradiation.

METHODS

Three silicone bolus designs (flat, hat, and custom) from .decimal were evaluated for adherence to five anthropomorphic head phantoms. Flat bolus was cut from a silicone sheet. Generic hat bolus resembles an elongated swim cap while custom bolus is manufactured by injecting silicone into a 3D printed mold. Bolus placement time was recorded. Air gaps between bolus and scalp were quantified on CT images. The dosimetric effect of air gaps on target coverage was evaluated in a treatment planning study where the scalp was planned to 60 Gy in 30 fractions. A noncoplanar VMAT technique based on gEUD penalties was investigated that explored the full range of gEUD alpha values to determine which settings achieve sufficient target coverage while minimizing brain dose. ANOVA and the t-test were used to evaluate statistically significant differences (threshold = 0.05).

RESULTS

The flat bolus took 32 ± 5.9 min to construct and place, which was significantly longer (p < 0.001) compared with 0.67 ± 0.2 min for the generic hat bolus or 0.53 ± 0.10 min for the custom bolus. The air gap volumes were 38 ± 9.3 cc, 32 ± 14 cc, and 17 ± 7.0 cc for the flat, hat, and custom boluses, respectively. While the air gap differences between the flat and custom boluses were significant (p = 0.011), there were no significant dosimetric differences in PTV coverage at V57Gy or V60Gy. In the VMAT optimization study, a gEUD alpha of 2 was found to minimize the mean brain dose.

CONCLUSIONS

Two challenging aspects of total scalp irradiation were investigated: bolus design and plan optimization. Results from this study show opportunities to shorten bolus fabrication time during simulation and create high quality treatment plans using a straightforward VMAT template with simple optimization settings.

MRI motion artifact reduction using a conditional diffusion probabilistic model (MAR-CDPM)

BACKGROUND

High-resolution magnetic resonance imaging (MRI) with excellent soft-tissue contrast is a valuable tool utilized for diagnosis and prognosis. However, MRI sequences with long acquisition time are susceptible to motion artifacts, which can adversely affect the accuracy of post-processing algorithms.

PURPOSE

This study proposes a novel retrospective motion correction method named "motion artifact reduction using conditional diffusion probabilistic model" (MAR-CDPM). The MAR-CDPM aimed to remove motion artifacts from multicenter three-dimensional contrast-enhanced T1 magnetization-prepared rapid acquisition gradient echo (3D ceT1 MPRAGE) brain dataset with different brain tumor types.

MATERIALS AND METHODS

This study employed two publicly accessible MRI datasets: one containing 3D ceT1 MPRAGE and 2D T2-fluid attenuated inversion recovery (FLAIR) images from 230 patients with diverse brain tumors, and the other comprising 3D T1-weighted (T1W) MRI images of 148 healthy volunteers, which included real motion artifacts. The former was used to train and evaluate the model using the in silico data, and the latter was used to evaluate the model performance to remove real motion artifacts. A motion simulation was performed in k-space domain to generate an in silico dataset with minor, moderate, and heavy distortion levels. The diffusion process of the MAR-CDPM was then implemented in k-space to convert structure data into Gaussian noise by gradually increasing motion artifact levels. A conditional network with a Unet backbone was trained to reverse the diffusion process to convert the distorted images to structured data. The MAR-CDPM was trained in two scenarios: one conditioning on the time step t $t$ of the diffusion process, and the other conditioning on both t $t$ and T2-FLAIR images. The MAR-CDPM was quantitatively and qualitatively compared with supervised Unet, Unet conditioned on T2-FLAIR, CycleGAN, Pix2pix, and Pix2pix conditioned on T2-FLAIR models. To quantify the spatial distortions and the level of remaining motion artifacts after applying the models, quantitative metrics were reported including normalized mean squared error (NMSE), structural similarity index (SSIM), multiscale structural similarity index (MS-SSIM), peak signal-to-noise ratio (PSNR), visual information fidelity (VIF), and multiscale gradient magnitude similarity deviation (MS-GMSD). Tukey's Honestly Significant Difference multiple comparison test was employed to quantify the difference between the models where p-value < 0.05 $ < 0.05$ was considered statistically significant.

RESULTS

Qualitatively, MAR-CDPM outperformed these methods in preserving soft-tissue contrast and different brain regions. It also successfully preserved tumor boundaries for heavy motion artifacts, like the supervised method. Our MAR-CDPM recovered motion-free in silico images with the highest PSNR and VIF for all distortion levels where the differences were statistically significant (p-values< 0.05 $< 0.05$ ). In addition, our method conditioned on t and T2-FLAIR outperformed (p-values< 0.05 $< 0.05$ ) other methods to remove motion artifacts from the in silico dataset in terms of NMSE, MS-SSIM, SSIM, and MS-GMSD. Moreover, our method conditioned on only t outperformed generative models (p-values< 0.05 $< 0.05$ ) and had comparable performances compared with the supervised model (p-values> 0.05 $> 0.05$ ) to remove real motion artifacts.

CONCLUSIONS

The MAR-CDPM could successfully remove motion artifacts from 3D ceT1 MPRAGE. It is particularly beneficial for elderly who may experience involuntary movements during high-resolution MRI imaging with long acquisition times.

Near-infrared fluorescence-assisted superficial inguinal lymph-node excision for low-risk penile cancer

OBJECTIVE

Identification of superficial inguinal lymph nodes during low-risk penile cancer surgery using near-infrared (NIR) fluorescence to improve the accuracy of lymph-node dissection and reduce the incidence of missed micrometastases and complications.

METHODS

Thirty-two cases were selected, which were under the criteria of < T1, and no lymph-node metastasis was found with magnetic resonance imaging (MRI) detection. Two groups were randomly divided based on the fluorescence technique, the indocyanine green (ICG) group and the non-ICG group. In the ICG group, the ICG preparation was subcutaneously injected into the edge of the penile tumor 10 min before surgery, and the near-infrared fluorescence imager was used for observation. After the lymph nodes were visualized, the superficial inguinal lymph nodes were removed first, and then, the penis surgery was performed. The non-ICG group underwent superficial inguinal lymph-node dissection and penile surgery.

RESULTS

Among the 16 patients in the ICG group, we obtained 11 lymph-node specimens using grayscale values of images (4.13 ± 0.72 vs. 3.00 ± 0.82 P = 0.003) along with shorter postoperative healing time (7.31 ± 1.08 vs. 8.88 ± 2.43 P = 0.025), and less lymphatic leakage (0 vs. 5 P = 0.04) than the 16 patients in the non-ICG group. Out of 11, 3 lymph nodes that are excised were further grouped into fluorescent and non-fluorescent regions (G1/G2) and found to be metastasized.

CONCLUSION

Near-infrared fluorescence-assisted superficial inguinal lymph-node dissection in penile carcinoma is accurate and effective, and could reduce surgical complications.

Streamlined pin-ridge-filter design for single-energy proton FLASH planning

BACKGROUND

FLASH radiotherapy (FLASH-RT) with ultra-high dose rate has yielded promising results in reducing normal tissue toxicity while maintaining tumor control. Planning with single-energy proton beams modulated by ridge filters (RFs) has been demonstrated feasible for FLASH-RT.

PURPOSE

This study explored the feasibility of a streamlined pin-shaped RF (pin-RF) design, characterized by coarse resolution and sparsely distributed ridge pins, for single-energy proton FLASH planning.

METHODS

An inverse planning framework integrated within a treatment planning system was established to design streamlined pin RFs for single-energy FLASH planning. The framework involves generating a multi-energy proton beam plan using intensity-modulated proton therapy (IMPT) planning based on downstream energy modulation strategy (IMPT-DS), followed by a nested pencil-beam-direction-based (PBD-based) spot reduction process to iteratively reduce the total number of PBDs and energy layers along each PBD for the IMPT-DS plan. The IMPT-DS plan is then translated into the pin-RFs and the single-energy beam configurations for IMPT planning with pin-RFs (IMPT-RF). This framework was validated on three lung cases, quantifying the FLASH dose of the IMPT-RF plan using the FLASH effectiveness model. The FLASH dose was then compared to the reference dose of a conventional IMPT plan to measure the clinical benefit of the FLASH planning technique.

RESULTS

The IMPT-RF plans closely matched the corresponding IMPT-DS plans in high dose conformity (conformity index of <1.2), with minimal changes in V7Gy and V7.4 Gy for the lung (<3%) and small increases in maximum doses (Dmax) for other normal structures (<3.4 Gy). Comparing the FLASH doses to the doses of corresponding IMPT-RF plans, drastic reductions of up to nearly 33% were observed in Dmax for the normal structures situated in the high-to-moderate-dose regions, while negligible changes were found in Dmax for normal structures in low-dose regions. Positive clinical benefits were seen in comparing the FLASH doses to the reference doses, with notable reductions of 21.4%-33.0% in Dmax for healthy tissues in the high-dose regions. However, in the moderate-to-low-dose regions, only marginal positive or even negative clinical benefit for normal tissues were observed, such as increased lung V7Gy and V7.4 Gy (up to 17.6%).

CONCLUSIONS

A streamlined pin-RF design was developed and its effectiveness for single-energy proton FLASH planning was validated, revealing positive clinical benefits for the normal tissues in the high dose regions. The coarsened design of the pin-RF demonstrates potential advantages, including cost efficiency and ease of adjustability, making it a promising option for efficient production.

The incidence of surgical site infections in China

Surgical site infections (SSIs) are a common type of healthcare-associated infection. We performed a literature review to demonstrate the incidence of SSIs in mainland China based on studies since 2010. We included 231 eligible studies with ≥30 postoperative patients, comprising 14 providing overall SSI data regardless of surgical sites and 217 reporting SSIs for a specific site. We found that the overall SSI incidence was 2.91% (median; interquartile range: 1.05%, 4.57%) or 3.18% (pooled; 95% confidence interval: 1.85%, 4.51%) and the SSI incidence varied remarkably according to the surgical site between the lowest (median, 1.00%; pooled, 1.69%) in thyroid surgeries and the highest (median, 14.89%; pooled, 12.54%) in colorectal procedures. We uncovered that Enterobacterales and staphylococci were the most common types of micro-organisms associated with SSIs after various abdominal surgeries and cardiac or neurological procedures, respectively. We identified two, nine, and five studies addressing the impact of SSIs on mortality, the length of stay (LOS) in hospital, and additional healthcare-related economic burden, respectively, all of which demonstrated increased mortality, prolonged LOS, and elevated medical costs associated with SSIs among affected patients. Our findings illustrate that SSIs remain a relatively common, serious threat to patient safety in China, requiring more action. To tackle SSIs, we propose to establish a nationwide network for SSI surveillance using unified criteria with the aid of informatic techniques and to tailor and implement countermeasures based on local data and observation. We highlight that the impact of SSIs in China warrants further study.

Synthetic CT generation from MRI using 3D transformer-based denoising diffusion model

BACKGROUND AND PURPOSE

Magnetic resonance imaging (MRI)-based synthetic computed tomography (sCT) simplifies radiation therapy treatment planning by eliminating the need for CT simulation and error-prone image registration, ultimately reducing patient radiation dose and setup uncertainty. In this work, we propose a MRI-to-CT transformer-based improved denoising diffusion probabilistic model (MC-IDDPM) to translate MRI into high-quality sCT to facilitate radiation treatment planning.

METHODS

MC-IDDPM implements diffusion processes with a shifted-window transformer network to generate sCT from MRI. The proposed model consists of two processes: a forward process, which involves adding Gaussian noise to real CT scans to create noisy images, and a reverse process, in which a shifted-window transformer V-net (Swin-Vnet) denoises the noisy CT scans conditioned on the MRI from the same patient to produce noise-free CT scans. With an optimally trained Swin-Vnet, the reverse diffusion process was used to generate noise-free sCT scans matching MRI anatomy. We evaluated the proposed method by generating sCT from MRI on an institutional brain dataset and an institutional prostate dataset. Quantitative evaluations were conducted using several metrics, including Mean Absolute Error (MAE), Peak Signal-to-Noise Ratio (PSNR), Multi-scale Structure Similarity Index (SSIM), and Normalized Cross Correlation (NCC). Dosimetry analyses were also performed, including comparisons of mean dose and target dose coverages for 95% and 99%.

RESULTS

MC-IDDPM generated brain sCTs with state-of-the-art quantitative results with MAE 48.825 ± 21.491 HU, PSNR 26.491 ± 2.814 dB, SSIM 0.947 ± 0.032, and NCC 0.976 ± 0.019. For the prostate dataset: MAE 55.124 ± 9.414 HU, PSNR 28.708 ± 2.112 dB, SSIM 0.878 ± 0.040, and NCC 0.940 ± 0.039. MC-IDDPM demonstrates a statistically significant improvement (with p < 0.05) in most metrics when compared to competing networks, for both brain and prostate synthetic CT. Dosimetry analyses indicated that the target dose coverage differences by using CT and sCT were within ± 0.34%.

CONCLUSIONS

We have developed and validated a novel approach for generating CT images from routine MRIs using a transformer-based improved DDPM. This model effectively captures the complex relationship between CT and MRI images, allowing for robust and high-quality synthetic CT images to be generated in a matter of minutes. This approach has the potential to greatly simplify the treatment planning process for radiation therapy by eliminating the need for additional CT scans, reducing the amount of time patients spend in treatment planning, and enhancing the accuracy of treatment delivery.

Changes in menopausal symptoms comparing oral estradiol versus transdermal estradiol

OBJECTIVE

This study aimed to compare the efficacy and safety of oral and transdermal estradiol in alleviating menopausal symptoms.

METHOD

A total of 257 recently menopausal women were randomized into two groups. The t-E2 group received transdermal estradiol (2.5 g per day) (n = 128) and the o-E2V group received oral estradiol valerate (2 mg per day) (n = 129) for 24 weeks; both groups received micronized progesterone (200 mg per day). The primary outcome measure is the change in the modified Kupperman Menopausal Index (KMI) after 24 weeks of treatment. Menopausal symptoms were recorded at screening and at 4, 12 and 24 weeks using both the KMI and the Menopause Rating Scale (MRS).

RESULTS

Significant amelioration was observed by KMI and MRS scores for both groups after treatment (p < 0.001). The mean KMI scores showed no difference between the two groups. The mean MRS scores were similar between the two groups at baseline and after 4 weeks of treatment. The results showed statistical differences after 12 weeks and 24 weeks of treatment (p = 0.005 and p = 0.011). Both the after-treatment scores minus the baseline scores of KMI and MRS and the incidence of adverse effects showed no difference between the two groups.

CONCLUSIONS

This study shows that both transdermal and oral estradiol are effective in relieving menopausal symptoms, with little difference in treatment efficacy and safety.

CLINICAL TRIAL NUMBER

ChiCTR2300073146.

Sudomotor dysfunction is associated with impaired left ventricular diastolic function in persons with type 2 diabetes: a cross-sectional study

BACKGROUND

The incidence of preserved ejection fraction heart failure has significantly increased in persons with type 2 diabetes mellitus (T2DM). Left ventricular (LV) diastolic dysfunction is an early and important manifestation of preserved ejection fraction heart failure. The onset of heart failure in persons with diabetes is associated with diabetic neuropathy. However, the relationship among sudomotor function, which is an early manifestation of small fiber neuropathy, and LV diastolic function remains unclear. This study aimed to explore the association between sudomotor function and LV diastolic function in persons with T2DM.

METHODS

In total, 699 persons with T2DM were enrolled and divided into three groups according to electrochemical skin conductance (ESC) assessed using the SUDOSCAN device: "no dysfunction" group (NSF), "moderate dysfunction" group (MDF), and "severe dysfunction" group (SDF). LV diastolic function was assessed using Doppler echocardiography. To evaluate the relationship between ESC and echocardiographic parameters, Pearson's correlation analysis was performed. Additionally, logistic regression analysis was used to determine the association between LV diastolic function and ESC. A receiver operating characteristic (ROC) curve was constructed to evaluate the performance of sudomotor function indicators in detecting impaired cardiac diastolic function.

RESULTS

There were 301 persons (43.06%) in the NSF group, 232 (33.19%) in the MDF group, and 166 (23.75%) in the SDF group. Compared to the NSF group, the MDF and SDF groups had higher A and E/e' and lower e' values (all p < 0.05). Pearson's correlation analysis showed that A and E/e' were negatively associated with foot ESC (FESC) and hand ESC (HESC), whereas e' was positively associated with FESC and HESC (all p < 0.05). After adjusting for confounding factors, binary logistic regression analysis showed that ESC was independently associated with impaired LV diastolic function (p = 0.003). The area under the ROC curve values for FESC and HESC were 0.621 and 0.635, respectively (both p < 0.05).

CONCLUSIONS

Deteriorating sudomotor function was associated with reduced diastolic function indicators. ESC can be used as a biomarker for detecting LV diastolic impairment.

Bioinformatics analysis identifies potential autophagy key genes and immune infiltration in preeclampsia

BACKGROUND

Preeclampsia (PE) is a disease that seriously threatens maternal and fetal health. Appropriate autophagy can shield the placenta from oxidative stress, but its role in PE is unclear.

OBJECTIVE

To identify potential autophagy-related genes in PE.

METHODS

Microarray datasets from the Gene Expression Omnibus database, compassing the test dataset GSE10588, along with validation datasets GSE4707 and GSE60438 GPL10558, were utilized. Differentially expressed genes (DEGs) were identified using the limma R package, intersected with autophagy-related genes. Hub genes were obtained using the Cytoscape software and analyzed via gene set enrichment analysis (GSEA). The diagnostic capability of hub genes was evaluated using receiver operating characteristic (ROC) curve analysis. Analysis of immune cell infiltration was conducted using single-sample gene set enrichment analysis (ssGSEA) and CIBERSORT methods. Placental tissues were collected from 10 normal pregnant women and 10 preeclamptic pregnant women, and the expression of hub genes was validated through immunohistochemistry and western blot analysis.

RESULTS

Analysis of the microarray data identified 2224 DEGs, among which 26 were autophagy-related DEGs identified through intersection with autophagy genes. Ten hub genes were identified. Immune cell infiltration analysis suggested the potential involvement of T regulatory cells (Tregs), natural killer cells, neutrophils, and T follicular helper cells in the pathogenesis of PE. ROC curve analysis indicated promising diagnostic capabilities for EGFR and TP53. Additionally, levels of EGFR and TP53 were significantly higher in placental tissue from PE pregnancies compared to normal pregnancies.

CONCLUSION

EGFR and TP53 may play a role in PE by influencing autophagy.

Amplitude Analysis of the B^{0}→K^{*0}μ^{+}μ^{-} Decay

An amplitude analysis of the B^{0}→K^{*0}μ^{+}μ^{-} decay is presented using a dataset corresponding to an integrated luminosity of 4.7  fb^{-1} of pp collision data collected with the LHCb experiment. For the first time, the coefficients associated to short-distance physics effects, sensitive to processes beyond the standard model, are extracted directly from the data through a q^{2}-unbinned amplitude analysis, where q^{2} is the μ^{+}μ^{-} invariant mass squared. Long-distance contributions, which originate from nonfactorizable QCD processes, are systematically investigated, and the most accurate assessment to date of their impact on the physical observables is obtained. The pattern of measured corrections to the short-distance couplings is found to be consistent with previous analyses of b- to s-quark transitions, with the largest discrepancy from the standard model predictions found to be at the level of 1.8 standard deviations. The global significance of the observed differences in the decay is 1.4 standard deviations.

Study of High-Transverse-Momentum Higgs Boson Production in Association with a Vector Boson in the qqbb Final State with the ATLAS Detector

This Letter presents the first study of Higgs boson production in association with a vector boson (V=W or Z) in the fully hadronic qqbb final state using data recorded by the ATLAS detector at the LHC in proton-proton collisions at sqrt[s]=13  TeV and corresponding to an integrated luminosity of 137  fb^{-1}. The vector bosons and Higgs bosons are each reconstructed as large-radius jets and tagged using jet substructure techniques. Dedicated tagging algorithms exploiting b-tagging properties are used to identify jets consistent with Higgs bosons decaying into bb[over ¯]. Dominant backgrounds from multijet production are determined directly from the data, and a likelihood fit to the jet mass distribution of Higgs boson candidates is used to extract the number of signal events. The VH production cross section is measured inclusively and differentially in several ranges of Higgs boson transverse momentum: 250-450, 450-650, and greater than 650 GeV. The inclusive signal yield relative to the standard model expectation is observed to be μ=1.4_{-0.9}^{+1.0} and the corresponding cross section is 3.1±1.3(stat)_{-1.4}^{+1.8}(syst)  pb.

Evaluation of Laparoscopic Colorectal Resection Among Elderly Individuals With Colorectal Malignancy: A Single-center Retrospective Analysis

OBJECTIVE

The purpose of the current study was to statistically clarify the precise risk age in elderly patients undergoing colorectal surgery and to evaluate the safety and efficacy of laparoscopic colorectal resection in these patients.

METHODS

Patients' clinical variables were extracted from the database of the Gastrointestinal Surgery Centre, Third Affiliated Hospital of Sun Yat-sen University, from 2015 to 2019. Logistic regression was conducted to identify independent risk factors of postoperative complications and ORs for each age. Curves of odds ratios (ORs) and CIs for each age were fitted by using a locally weighted scatterplot smoother, and a structural breakpoint was determined by the Chow test to identify a precise cutoff risk age for elderly patients. Comparison and subgroup analysis were conducted between surgical approach groups using the Student ttest and χ2 analysis.

RESULTS

Locally weighted scatterplot smoother OR analysis manifested that patients aged 69 years old or older suffered a higher possibility of postoperative complications and should be defined as high-risk age. Comparison according to the high-risk age revealed laparoscopic colorectal surgery is better than laparotomic surgery for elderly individuals in terms of hospital stay (9.46 ± 5.96 vs 15.01 ± 6.34, P< 0.05), the incidence of intensive care unit transfer (4 vs 20, P< 0.05), and incidence of surgical site infection (15 vs 20, P< 0.05). Patients who underwent laparotomic surgery had a greater prevalence of Clavien-Dindo II/III complications (P< 0.05). These findings remained stable even after propensity matching. Furthermore, such superiority was proved especially significant for patients who underwent left-side colorectal resection. In addition, overall survival was improved in the laparoscopic surgery group, whereas no differences were observed in disease-free survival.

CONCLUSION

In our study population, age 69 or older was a cutoff point age suggests a higher possibility of postoperative morbidity after colorectal surgery. Laparoscopic colorectal resection should be regarded as a superior therapeutic choice for these elderly individuals, especially for left-side colorectal surgeries.

Alterations in HCN1 expression and distribution during epileptogenesis in rats

BACKGROUND

The hyperpolarization-activated cyclic nucleotide-gated cation channel (HCN1) is predominantly located in key regions associated with epilepsy, such as the neocortex and hippocampus. Under normal physiological conditions, HCN1 plays a crucial role in the excitatory and inhibitory regulation of neuronal networks. In temporal lobe epilepsy, the expression of HCN1 is decreased in the hippocampi of both animal models and patients. However, whether HCN1 expression changes during epileptogenesis preceding spontaneous seizures remains unclear.

OBJECTIVE

The aim of this study was to determine whether the expression of HCN1 is altered during the epileptic prodromal phase, thereby providing evidence for its role in epileptogenesis.

METHODS

We utilized a cobalt wire-induced rat epilepsy model to observe changes in HCN1 during epileptogenesis and epilepsy. Additionally, we also compared HCN1 alterations in epileptogenic tissues between cobalt wire- and pilocarpine-induced epilepsy rat models. Long-term video EEG recordings were used to confirm seizures development. Transcriptional changes, translation, and distribution of HCN1 were assessed using high-throughput transcriptome sequencing, total protein extraction, membrane and cytoplasmic protein fractionation, western blotting, immunohistochemistry, and immunofluorescence techniques.

RESULTS

In the cobalt wire-induced rat epilepsy model during the epileptogenesis phase, total HCN1 mRNA and protein levels were downregulated. Specifically, the membrane expression of HCN1 was decreased, whereas cytoplasmic HCN1 expression showed no significant change. The distribution of HCN1 in the distal dendrites of neurons decreased. During the epilepsy period, similar HCN1 alterations were observed in the neocortex of rats with cobalt wire-induced epilepsy and hippocampus of rats with lithium pilocarpine-induced epilepsy, including downregulation of mRNA levels, decreased total protein expression, decreased membrane expression, and decreased distal dendrite expression.

CONCLUSIONS

Alterations in HCN1 expression and distribution are involved in epileptogenesis beyond their association with seizure occurrence. Similarities in HCN1 alterations observed in epileptogenesis-related tissues from different models suggest a shared pathophysiological pathway in epileptogenesis involving HCN1 dysregulation. Therefore, the upregulation of HCN1 expression in neurons, maintenance of the HCN1 membrane, and distal dendrite distribution in neurons may represent promising disease-modifying strategies in epilepsy.

A near-infrared fluorescence probe with large Stokes shift for selectively monitoring nitroreductase in living cells and mouse tumor models

Hypoxia is commonly regarded as a typical feature of solid tumors, which originates from the insufficient supply of oxygen. Herein, the development of an efficient method for assessing hypoxia levels in tumors is strongly desirable. Nitroreductase (NTR) is an overexpressed reductase in the solid tumors, has been served as a potential biomarker to evaluate the degrees of hypoxia. In this work, we elaborately synthesized a new near-infrared (NIR) fluorescence probe (MR) to monitor NTR activity for assessment of hypoxia levels in living cells and in tumors. Upon exposure of NTR, the nitro-unit of MR could be selectively reduced to amino-moiety with the help of nicotinamide adenine dinucleotide. Moreover, the obtained fluorophore emitted a prominent NIR fluorescence, because it possessed a classical "push-pull" structure. The MR displayed several distinguished characters toward NTR, including intense NIR fluorescent signals, large Stokes shift, high selectivity and low limit of detection (46 ng/mL). Furthermore, cellular confocal fluorescence imaging results validated that the MR had potential of detecting NTR levels in hypoxic cells. Significantly, using the MR, the elevated of NTR levels were successfully visualized in the tumor-bearing mouse models. Therefore, this detecting platform based on this probe may be tactfully constructed for monitoring the variations of NTR and estimating the degrees of hypoxia in tumors.

Measurement of the Centrality Dependence of the Dijet Yield in p+Pb Collisions at sqrt[s_{NN}]=8.16 TeV with the ATLAS Detector

ATLAS measured the centrality dependence of the dijet yield using 165  nb^{-1} of p+Pb data collected at sqrt[s_{NN}]=8.16  TeV in 2016. The event centrality, which reflects the p+Pb impact parameter, is characterized by the total transverse energy registered in the Pb-going side of the forward calorimeter. The central-to-peripheral ratio of the scaled dijet yields, R_{CP}, is evaluated, and the results are presented as a function of variables that reflect the kinematics of the initial hard parton scattering process. The R_{CP} shows a scaling with the Bjorken x of the parton originating from the proton, x_{p}, while no such trend is observed as a function of x_{Pb}. This analysis provides unique input to understanding the role of small proton spatial configurations in p+Pb collisions by covering parton momentum fractions from the valence region down to x_{p}∼10^{-3} and x_{Pb}∼4×10^{-4}.

Fraction of χ_{c} Decays in Prompt J/ψ Production Measured in pPb Collisions at sqrt[s_{NN}]=8.16 TeV

The fraction of χ_{c1} and χ_{c2} decays in the prompt J/ψ yield, F_{χ_{c}→J/ψ}=σ_{χ_{c}→J/ψ}/σ_{J/ψ}, is measured by the LHCb detector in pPb collisions at sqrt[s_{NN}]=8.16  TeV. The study covers the forward (1.5 Collapse

Key Words Collapse

MESH Headings Collapse

Grants Collapse

Affiliation(s)

R Aaij Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
A S W Abdelmotteleb Department of Physics, University of Warwick, Coventry, United Kingdom
C Abellan Beteta Physik-Institut, Universität Zürich, Zürich, Switzerland
F Abudinén Department of Physics, University of Warwick, Coventry, United Kingdom
T Ackernley Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
B Adeva Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
M Adinolfi H.H. Wills Physics Laboratory, University of Bristol, Bristol, United Kingdom
P Adlarson Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden (associated with School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom)
C Agapopoulou European Organization for Nuclear Research (CERN), Geneva, Switzerland
C A Aidala University of Michigan, Ann Arbor, Michigan, USA (associated with Syracuse University, Syracuse, New York, USA)
Z Ajaltouni Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
S Akar University of Cincinnati, Cincinnati, Ohio, USA
K Akiba Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
P Albicocco INFN Laboratori Nazionali di Frascati, Frascati, Italy
J Albrecht Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
F Alessio European Organization for Nuclear Research (CERN), Geneva, Switzerland
M Alexander School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom
A Alfonso Albero ICCUB, Universitat de Barcelona, Barcelona, Spain
Z Aliouche Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
P Alvarez Cartelle Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom
R Amalric LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France
S Amato Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
J L Amey H.H. Wills Physics Laboratory, University of Bristol, Bristol, United Kingdom
Y Amhis Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France European Organization for Nuclear Research (CERN), Geneva, Switzerland
L An School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
L Anderlini INFN Sezione di Firenze, Firenze, Italy
M Andersson Physik-Institut, Universität Zürich, Zürich, Switzerland
A Andreianov Affiliated with an institute covered by a cooperation agreement with CERN
P Andreola Physik-Institut, Universität Zürich, Zürich, Switzerland
M Andreotti INFN Sezione di Ferrara, Ferrara, Italy
D Andreou Syracuse University, Syracuse, New York, USA
A A Anelli INFN Sezione di Milano-Bicocca, Milano, Italy
D Ao University of Chinese Academy of Sciences, Beijing, China
F Archilli INFN Sezione di Roma Tor Vergata, Roma, Italy
M Argenton INFN Sezione di Ferrara, Ferrara, Italy
S Arguedas Cuendis Consejo Nacional de Rectores (CONARE), San Jose, Costa Rica
A Artamonov Affiliated with an institute covered by a cooperation agreement with CERN
M Artuso Syracuse University, Syracuse, New York, USA
E Aslanides Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France
M Atzeni Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
B Audurier Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France
D Bacher Department of Physics, University of Oxford, Oxford, United Kingdom
I Bachiller Perea Université Savoie Mont Blanc, CNRS, IN2P3-LAPP, Annecy, France
S Bachmann Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
M Bachmayer Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
J J Back Department of Physics, University of Warwick, Coventry, United Kingdom
A Bailly-Reyre LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France
P Baladron Rodriguez Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
V Balagura Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France
W Baldini INFN Sezione di Ferrara, Ferrara, Italy
J Baptista de Souza Leite Centro Brasileiro de Pesquisas Físicas (CBPF), Rio de Janeiro, Brazil
M Barbetti INFN Sezione di Firenze, Firenze, Italy
I R Barbosa Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil (associated with Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil)
R J Barlow Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
S Barsuk Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France
W Barter School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
M Bartolini Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom
F Baryshnikov Affiliated with an institute covered by a cooperation agreement with CERN
J M Basels I. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
G Bassi INFN Sezione di Pisa, Pisa, Italy
B Batsukh Institute Of High Energy Physics (IHEP), Beijing, China
A Battig Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
A Bay Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
A Beck Department of Physics, University of Warwick, Coventry, United Kingdom
M Becker Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
F Bedeschi INFN Sezione di Pisa, Pisa, Italy
I B Bediaga Centro Brasileiro de Pesquisas Físicas (CBPF), Rio de Janeiro, Brazil
A Beiter Syracuse University, Syracuse, New York, USA
S Belin Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
V Bellee Physik-Institut, Universität Zürich, Zürich, Switzerland
K Belous Affiliated with an institute covered by a cooperation agreement with CERN
I Belov INFN Sezione di Genova, Genova, Italy
I Belyaev Affiliated with an institute covered by a cooperation agreement with CERN
G Benane Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France
G Bencivenni INFN Laboratori Nazionali di Frascati, Frascati, Italy
E Ben-Haim LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France
A Berezhnoy Affiliated with an institute covered by a cooperation agreement with CERN
R Bernet Physik-Institut, Universität Zürich, Zürich, Switzerland
S Bernet Andres DS4DS, La Salle, Universitat Ramon Llull, Barcelona, Spain
H C Bernstein Syracuse University, Syracuse, New York, USA
C Bertella Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
A Bertolin Università degli Studi di Padova, Università e INFN, Padova, Padova, Italy
C Betancourt Physik-Institut, Universität Zürich, Zürich, Switzerland
F Betti School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
J Bex Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom
Ia Bezshyiko Physik-Institut, Universität Zürich, Zürich, Switzerland
J Bhom Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
M S Bieker Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
N V Biesuz INFN Sezione di Ferrara, Ferrara, Italy
P Billoir LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France
A Biolchini Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
M Birch Imperial College London, London, United Kingdom
F C R Bishop Université Savoie Mont Blanc, CNRS, IN2P3-LAPP, Annecy, France
A Bitadze Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
A Bizzeti School of Physics and Astronomy, Monash University, Melbourne, Australia Centro Brasileiro de Pesquisas Físicas (CBPF), Rio de Janeiro, Brazil Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil Center for High Energy Physics, Tsinghua University, Beijing, China Institute Of High Energy Physics (IHEP), Beijing, China School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China University of Chinese Academy of Sciences, Beijing, China Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China Consejo Nacional de Rectores (CONARE), San Jose, Costa Rica Université Savoie Mont Blanc, CNRS, IN2P3-LAPP, Annecy, France Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France I. Physikalisches Institut, RWTH Aachen University, Aachen, Germany Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Max-Planck-Institut für Kernphysik (MPIK), Heidelberg, Germany Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany School of Physics, University College Dublin, Dublin, Ireland INFN Sezione di Bari, Bari, Italy INFN Sezione di Bologna, Bologna, Italy INFN Sezione di Ferrara, Ferrara, Italy INFN Sezione di Firenze, Firenze, Italy INFN Laboratori Nazionali di Frascati, Frascati, Italy INFN Sezione di Genova, Genova, Italy INFN Sezione di Milano, Milano, Italy INFN Sezione di Milano-Bicocca, Milano, Italy INFN Sezione di Cagliari, Monserrato, Italy Università degli Studi di Padova, Università e INFN, Padova, Padova, Italy INFN Sezione di Perugia, Perugia, Italy INFN Sezione di Pisa, Pisa, Italy INFN Sezione di Roma La Sapienza, Roma, Italy INFN Sezione di Roma Tor Vergata, Roma, Italy Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands Nikhef National Institute for Subatomic Physics and VU University Amsterdam, Amsterdam, Netherlands AGH - University of Science and Technology, Faculty of Physics and Applied Computer Science, Kraków, Poland Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland National Center for Nuclear Research (NCBJ), Warsaw, Poland Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest-Magurele, Romania Affiliated with an institute covered by a cooperation agreement with CERN DS4DS, La Salle, Universitat Ramon Llull, Barcelona, Spain ICCUB, Universitat de Barcelona, Barcelona, Spain Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain Instituto de Fisica Corpuscular, Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain European Organization for Nuclear Research (CERN), Geneva, Switzerland Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland Physik-Institut, Universität Zürich, Zürich, Switzerland NSC Kharkiv Institute of Physics and Technology (NSC KIPT), Kharkiv, Ukraine Institute for Nuclear Research of the National Academy of Sciences (KINR), Kyiv, Ukraine University of Birmingham, Birmingham, United Kingdom H.H. Wills Physics Laboratory, University of Bristol, Bristol, United Kingdom Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom Department of Physics, University of Warwick, Coventry, United Kingdom STFC Rutherford Appleton Laboratory, Didcot, United Kingdom School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom Imperial College London, London, United Kingdom Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom Department of Physics, University of Oxford, Oxford, United Kingdom Massachusetts Institute of Technology, Cambridge, Massachusetts, USA University of Cincinnati, Cincinnati, Ohio, USA University of Maryland, College Park, Maryland, USA Los Alamos National Laboratory (LANL), Los Alamos, New Mexico, USA Syracuse University, Syracuse, New York, USA Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil (associated with Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil) School of Physics and Electronics, Hunan University, Changsha City, China (associated with Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China) Guangdong Provincial Key Laboratory of Nuclear Science, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, Institute of Quantum Matter, South China Normal University, Guangzhou, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China) Lanzhou University, Lanzhou, China (associated with Institute Of High Energy Physics (IHEP), Beijing, China) School of Physics and Technology, Wuhan University, Wuhan, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China) Departamento de Fisica, Universidad Nacional de Colombia, Bogota, Colombia (associated with LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France) Universität Bonn - Helmholtz-Institut für Strahlen und Kernphysik, Bonn, Germany (associated with Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany) Eotvos Lorand University, Budapest, Hungary (associated with European Organization for Nuclear Research (CERN), Geneva, Switzerland) Van Swinderen Institute, University of Groningen, Groningen, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands) Universiteit Maastricht, Maastricht, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands) Tadeusz Kosciuszko Cracow University of Technology, Cracow, Poland (associated with Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland) Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden (associated with School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom) University of Michigan, Ann Arbor, Michigan, USA (associated with Syracuse University, Syracuse, New York, USA) Departement de Physique Nucleaire (SPhN), Gif-Sur-Yvette, France
M P Blago Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom
T Blake Department of Physics, University of Warwick, Coventry, United Kingdom
F Blanc Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
J E Blank Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
S Blusk Syracuse University, Syracuse, New York, USA
D Bobulska School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom
V Bocharnikov Affiliated with an institute covered by a cooperation agreement with CERN
J A Boelhauve Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
O Boente Garcia Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France
T Boettcher University of Cincinnati, Cincinnati, Ohio, USA
A Bohare School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
A Boldyrev Affiliated with an institute covered by a cooperation agreement with CERN
C S Bolognani Universiteit Maastricht, Maastricht, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands)
R Bolzonella INFN Sezione di Ferrara, Ferrara, Italy
N Bondar Affiliated with an institute covered by a cooperation agreement with CERN
F Borgato Università degli Studi di Padova, Università e INFN, Padova, Padova, Italy European Organization for Nuclear Research (CERN), Geneva, Switzerland
S Borghi Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
M Borsato INFN Sezione di Milano-Bicocca, Milano, Italy
J T Borsuk Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
S A Bouchiba Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
T J V Bowcock Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
A Boyer European Organization for Nuclear Research (CERN), Geneva, Switzerland
C Bozzi INFN Sezione di Ferrara, Ferrara, Italy
M J Bradley Imperial College London, London, United Kingdom
S Braun University of Maryland, College Park, Maryland, USA
A Brea Rodriguez Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
N Breer Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
J Brodzicka Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
A Brossa Gonzalo Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
J Brown Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
D Brundu INFN Sezione di Cagliari, Monserrato, Italy
A Buonaura Physik-Institut, Universität Zürich, Zürich, Switzerland
L Buonincontri Università degli Studi di Padova, Università e INFN, Padova, Padova, Italy
A T Burke Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
C Burr European Organization for Nuclear Research (CERN), Geneva, Switzerland
A Bursche Guangdong Provincial Key Laboratory of Nuclear Science, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, Institute of Quantum Matter, South China Normal University, Guangzhou, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China)
A Butkevich Affiliated with an institute covered by a cooperation agreement with CERN
J S Butter Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom
J Buytaert European Organization for Nuclear Research (CERN), Geneva, Switzerland
W Byczynski European Organization for Nuclear Research (CERN), Geneva, Switzerland
S Cadeddu INFN Sezione di Cagliari, Monserrato, Italy
H Cai School of Physics and Technology, Wuhan University, Wuhan, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China)
R Calabrese INFN Sezione di Ferrara, Ferrara, Italy
L Calefice Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
S Cali INFN Laboratori Nazionali di Frascati, Frascati, Italy
M Calvi INFN Sezione di Milano-Bicocca, Milano, Italy
M Calvo Gomez DS4DS, La Salle, Universitat Ramon Llull, Barcelona, Spain
J Cambon Bouzas Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
P Campana INFN Laboratori Nazionali di Frascati, Frascati, Italy
D H Campora Perez Universiteit Maastricht, Maastricht, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands)
A F Campoverde Quezada University of Chinese Academy of Sciences, Beijing, China
S Capelli INFN Sezione di Milano-Bicocca, Milano, Italy
L Capriotti INFN Sezione di Ferrara, Ferrara, Italy
R Caravaca-Mora Consejo Nacional de Rectores (CONARE), San Jose, Costa Rica
A Carbone INFN Sezione di Bologna, Bologna, Italy
L Carcedo Salgado Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
R Cardinale INFN Sezione di Genova, Genova, Italy
A Cardini INFN Sezione di Cagliari, Monserrato, Italy
P Carniti INFN Sezione di Milano-Bicocca, Milano, Italy
L Carus Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
A Casais Vidal Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
R Caspary Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
G Casse Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
J Castro Godinez Consejo Nacional de Rectores (CONARE), San Jose, Costa Rica
M Cattaneo European Organization for Nuclear Research (CERN), Geneva, Switzerland
G Cavallero INFN Sezione di Ferrara, Ferrara, Italy
V Cavallini INFN Sezione di Ferrara, Ferrara, Italy
S Celani Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
J Cerasoli Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France
D Cervenkov Department of Physics, University of Oxford, Oxford, United Kingdom
S Cesare INFN Sezione di Milano, Milano, Italy
A J Chadwick Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
I Chahrour University of Michigan, Ann Arbor, Michigan, USA (associated with Syracuse University, Syracuse, New York, USA)
M Charles LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France
Ph Charpentier European Organization for Nuclear Research (CERN), Geneva, Switzerland
C A Chavez Barajas Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
M Chefdeville Université Savoie Mont Blanc, CNRS, IN2P3-LAPP, Annecy, France
C Chen Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France
S Chen Institute Of High Energy Physics (IHEP), Beijing, China
A Chernov Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
S Chernyshenko Institute for Nuclear Research of the National Academy of Sciences (KINR), Kyiv, Ukraine
V Chobanova Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
S Cholak Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
M Chrzaszcz Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
A Chubykin Affiliated with an institute covered by a cooperation agreement with CERN
V Chulikov Affiliated with an institute covered by a cooperation agreement with CERN
P Ciambrone INFN Laboratori Nazionali di Frascati, Frascati, Italy
M F Cicala Department of Physics, University of Warwick, Coventry, United Kingdom
X Cid Vidal Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
G Ciezarek European Organization for Nuclear Research (CERN), Geneva, Switzerland
P Cifra European Organization for Nuclear Research (CERN), Geneva, Switzerland
P E L Clarke School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
M Clemencic European Organization for Nuclear Research (CERN), Geneva, Switzerland
H V Cliff Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom
J Closier European Organization for Nuclear Research (CERN), Geneva, Switzerland
J L Cobbledick Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
C Cocha Toapaxi Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
V Coco European Organization for Nuclear Research (CERN), Geneva, Switzerland
J Cogan Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France
E Cogneras Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
L Cojocariu Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest-Magurele, Romania
P Collins European Organization for Nuclear Research (CERN), Geneva, Switzerland
T Colombo European Organization for Nuclear Research (CERN), Geneva, Switzerland
A Comerma-Montells ICCUB, Universitat de Barcelona, Barcelona, Spain
L Congedo INFN Sezione di Bari, Bari, Italy
A Contu INFN Sezione di Cagliari, Monserrato, Italy
N Cooke School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom
I Corredoira Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
A Correia LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France
G Corti European Organization for Nuclear Research (CERN), Geneva, Switzerland
J J Cottee Meldrum H.H. Wills Physics Laboratory, University of Bristol, Bristol, United Kingdom
B Couturier European Organization for Nuclear Research (CERN), Geneva, Switzerland
D C Craik Physik-Institut, Universität Zürich, Zürich, Switzerland
M Cruz Torres Centro Brasileiro de Pesquisas Físicas (CBPF), Rio de Janeiro, Brazil
R Currie School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
C L Da Silva Los Alamos National Laboratory (LANL), Los Alamos, New Mexico, USA
S Dadabaev Affiliated with an institute covered by a cooperation agreement with CERN
L Dai School of Physics and Electronics, Hunan University, Changsha City, China (associated with Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China)
X Dai School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
E Dall'Occo Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
J Dalseno Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
C D'Ambrosio European Organization for Nuclear Research (CERN), Geneva, Switzerland
J Daniel Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
A Danilina Affiliated with an institute covered by a cooperation agreement with CERN
P d'Argent INFN Sezione di Bari, Bari, Italy
A Davidson Department of Physics, University of Warwick, Coventry, United Kingdom
J E Davies Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
A Davis Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
O De Aguiar Francisco Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
C De Angelis INFN Sezione di Cagliari, Monserrato, Italy
J de Boer Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
K De Bruyn Van Swinderen Institute, University of Groningen, Groningen, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands)
S De Capua Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
M De Cian Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany European Organization for Nuclear Research (CERN), Geneva, Switzerland
U De Freitas Carneiro Da Graca Centro Brasileiro de Pesquisas Físicas (CBPF), Rio de Janeiro, Brazil
E De Lucia INFN Laboratori Nazionali di Frascati, Frascati, Italy
J M De Miranda Centro Brasileiro de Pesquisas Físicas (CBPF), Rio de Janeiro, Brazil
L De Paula Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
M De Serio INFN Sezione di Bari, Bari, Italy
D De Simone Physik-Institut, Universität Zürich, Zürich, Switzerland
P De Simone INFN Laboratori Nazionali di Frascati, Frascati, Italy
F De Vellis Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
J A de Vries Universiteit Maastricht, Maastricht, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands)
F Debernardis INFN Sezione di Bari, Bari, Italy
D Decamp Université Savoie Mont Blanc, CNRS, IN2P3-LAPP, Annecy, France
V Dedu Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France
L Del Buono LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France
B Delaney Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
H-P Dembinski Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
J Deng Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
V Denysenko Physik-Institut, Universität Zürich, Zürich, Switzerland
O Deschamps Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
F Dettori INFN Sezione di Cagliari, Monserrato, Italy
B Dey Eotvos Lorand University, Budapest, Hungary (associated with European Organization for Nuclear Research (CERN), Geneva, Switzerland)
P Di Nezza INFN Laboratori Nazionali di Frascati, Frascati, Italy
I Diachkov Affiliated with an institute covered by a cooperation agreement with CERN
S Didenko Affiliated with an institute covered by a cooperation agreement with CERN
S Ding Syracuse University, Syracuse, New York, USA
V Dobishuk Institute for Nuclear Research of the National Academy of Sciences (KINR), Kyiv, Ukraine
A D Docheva School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom
A Dolmatov Affiliated with an institute covered by a cooperation agreement with CERN
C Dong Center for High Energy Physics, Tsinghua University, Beijing, China
A M Donohoe School of Physics, University College Dublin, Dublin, Ireland
F Dordei INFN Sezione di Cagliari, Monserrato, Italy
A C Dos Reis Centro Brasileiro de Pesquisas Físicas (CBPF), Rio de Janeiro, Brazil
L Douglas School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom
A G Downes Université Savoie Mont Blanc, CNRS, IN2P3-LAPP, Annecy, France
W Duan Guangdong Provincial Key Laboratory of Nuclear Science, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, Institute of Quantum Matter, South China Normal University, Guangzhou, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China)
P Duda Tadeusz Kosciuszko Cracow University of Technology, Cracow, Poland (associated with Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland)
M W Dudek Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
L Dufour European Organization for Nuclear Research (CERN), Geneva, Switzerland
V Duk INFN Sezione di Perugia, Perugia, Italy
P Durante European Organization for Nuclear Research (CERN), Geneva, Switzerland
M M Duras Tadeusz Kosciuszko Cracow University of Technology, Cracow, Poland (associated with Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland)
J M Durham Los Alamos National Laboratory (LANL), Los Alamos, New Mexico, USA
A Dziurda Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
A Dzyuba Affiliated with an institute covered by a cooperation agreement with CERN
S Easo European Organization for Nuclear Research (CERN), Geneva, Switzerland STFC Rutherford Appleton Laboratory, Didcot, United Kingdom
E Eckstein Universität Bonn - Helmholtz-Institut für Strahlen und Kernphysik, Bonn, Germany (associated with Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany)
U Egede School of Physics and Astronomy, Monash University, Melbourne, Australia
A Egorychev Affiliated with an institute covered by a cooperation agreement with CERN
V Egorychev Affiliated with an institute covered by a cooperation agreement with CERN
C Eirea Orro Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
S Eisenhardt School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
E Ejopu Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
S Ek-In Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
L Eklund Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden (associated with School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom)
M Elashri University of Cincinnati, Cincinnati, Ohio, USA
J Ellbracht Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
S Ely Imperial College London, London, United Kingdom
A Ene Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest-Magurele, Romania
E Epple University of Cincinnati, Cincinnati, Ohio, USA
S Escher I. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
J Eschle Physik-Institut, Universität Zürich, Zürich, Switzerland
S Esen Physik-Institut, Universität Zürich, Zürich, Switzerland
T Evans Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
F Fabiano INFN Sezione di Cagliari, Monserrato, Italy European Organization for Nuclear Research (CERN), Geneva, Switzerland
L N Falcao Centro Brasileiro de Pesquisas Físicas (CBPF), Rio de Janeiro, Brazil
Y Fan University of Chinese Academy of Sciences, Beijing, China
B Fang Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France School of Physics and Technology, Wuhan University, Wuhan, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China)
L Fantini INFN Sezione di Perugia, Perugia, Italy
M Faria Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
K Farmer School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
D Fazzini INFN Sezione di Milano-Bicocca, Milano, Italy
L Felkowski Tadeusz Kosciuszko Cracow University of Technology, Cracow, Poland (associated with Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland)
M Feng Institute Of High Energy Physics (IHEP), Beijing, China University of Chinese Academy of Sciences, Beijing, China
M Feo European Organization for Nuclear Research (CERN), Geneva, Switzerland
M Fernandez Gomez Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
A D Fernez University of Maryland, College Park, Maryland, USA
F Ferrari INFN Sezione di Bologna, Bologna, Italy
F Ferreira Rodrigues Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
S Ferreres Sole Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
M Ferrillo Physik-Institut, Universität Zürich, Zürich, Switzerland
M Ferro-Luzzi European Organization for Nuclear Research (CERN), Geneva, Switzerland
S Filippov Affiliated with an institute covered by a cooperation agreement with CERN
R A Fini INFN Sezione di Bari, Bari, Italy
M Fiorini INFN Sezione di Ferrara, Ferrara, Italy
M Firlej AGH - University of Science and Technology, Faculty of Physics and Applied Computer Science, Kraków, Poland
K M Fischer Department of Physics, University of Oxford, Oxford, United Kingdom
D S Fitzgerald University of Michigan, Ann Arbor, Michigan, USA (associated with Syracuse University, Syracuse, New York, USA)
C Fitzpatrick Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
T Fiutowski AGH - University of Science and Technology, Faculty of Physics and Applied Computer Science, Kraków, Poland
F Fleuret Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France
M Fontana INFN Sezione di Bologna, Bologna, Italy
F Fontanelli INFN Sezione di Genova, Genova, Italy
L F Foreman Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
R Forty European Organization for Nuclear Research (CERN), Geneva, Switzerland
D Foulds-Holt Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom
M Franco Sevilla University of Maryland, College Park, Maryland, USA
M Frank European Organization for Nuclear Research (CERN), Geneva, Switzerland
E Franzoso INFN Sezione di Ferrara, Ferrara, Italy
G Frau Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
C Frei European Organization for Nuclear Research (CERN), Geneva, Switzerland
D A Friday Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
L Frontini INFN Sezione di Milano, Milano, Italy
J Fu University of Chinese Academy of Sciences, Beijing, China
Q Fuehring Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
Y Fujii School of Physics and Astronomy, Monash University, Melbourne, Australia
T Fulghesu LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France
E Gabriel Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
G Galati INFN Sezione di Bari, Bari, Italy
M D Galati Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
A Gallas Torreira Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
D Galli INFN Sezione di Bologna, Bologna, Italy
S Gambetta European Organization for Nuclear Research (CERN), Geneva, Switzerland School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
M Gandelman Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
P Gandini INFN Sezione di Milano, Milano, Italy
H Gao University of Chinese Academy of Sciences, Beijing, China
R Gao Department of Physics, University of Oxford, Oxford, United Kingdom
Y Gao Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
Y Gao School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
Y Gao Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
M Garau INFN Sezione di Cagliari, Monserrato, Italy
L M Garcia Martin Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
P Garcia Moreno ICCUB, Universitat de Barcelona, Barcelona, Spain
J García Pardiñas European Organization for Nuclear Research (CERN), Geneva, Switzerland
B Garcia Plana Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
K G Garg Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
L Garrido ICCUB, Universitat de Barcelona, Barcelona, Spain
C Gaspar European Organization for Nuclear Research (CERN), Geneva, Switzerland
R E Geertsema Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
L L Gerken Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
E Gersabeck Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
M Gersabeck Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
T Gershon Department of Physics, University of Warwick, Coventry, United Kingdom
Z Ghorbanimoghaddam H.H. Wills Physics Laboratory, University of Bristol, Bristol, United Kingdom
L Giambastiani Università degli Studi di Padova, Università e INFN, Padova, Padova, Italy
F I Giasemis LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France
V Gibson Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom
H K Giemza National Center for Nuclear Research (NCBJ), Warsaw, Poland
A L Gilman Department of Physics, University of Oxford, Oxford, United Kingdom
M Giovannetti INFN Laboratori Nazionali di Frascati, Frascati, Italy
A Gioventù ICCUB, Universitat de Barcelona, Barcelona, Spain
P Gironella Gironell ICCUB, Universitat de Barcelona, Barcelona, Spain
C Giugliano INFN Sezione di Ferrara, Ferrara, Italy
M A Giza Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
E L Gkougkousis Imperial College London, London, United Kingdom
F C Glaser Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
V V Gligorov LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France
C Göbel Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil (associated with Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil)
E Golobardes DS4DS, La Salle, Universitat Ramon Llull, Barcelona, Spain
D Golubkov Affiliated with an institute covered by a cooperation agreement with CERN
A Golutvin Affiliated with an institute covered by a cooperation agreement with CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Imperial College London, London, United Kingdom
A Gomes Centro Brasileiro de Pesquisas Físicas (CBPF), Rio de Janeiro, Brazil
S Gomez Fernandez ICCUB, Universitat de Barcelona, Barcelona, Spain
F Goncalves Abrantes Department of Physics, University of Oxford, Oxford, United Kingdom
M Goncerz Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
G Gong Center for High Energy Physics, Tsinghua University, Beijing, China
J A Gooding Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
I V Gorelov Affiliated with an institute covered by a cooperation agreement with CERN
C Gotti INFN Sezione di Milano-Bicocca, Milano, Italy
J P Grabowski Universität Bonn - Helmholtz-Institut für Strahlen und Kernphysik, Bonn, Germany (associated with Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany)
L A Granado Cardoso European Organization for Nuclear Research (CERN), Geneva, Switzerland
E Graugés ICCUB, Universitat de Barcelona, Barcelona, Spain
E Graverini Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
L Grazette Department of Physics, University of Warwick, Coventry, United Kingdom
G Graziani School of Physics and Astronomy, Monash University, Melbourne, Australia Centro Brasileiro de Pesquisas Físicas (CBPF), Rio de Janeiro, Brazil Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil Center for High Energy Physics, Tsinghua University, Beijing, China Institute Of High Energy Physics (IHEP), Beijing, China School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China University of Chinese Academy of Sciences, Beijing, China Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China Consejo Nacional de Rectores (CONARE), San Jose, Costa Rica Université Savoie Mont Blanc, CNRS, IN2P3-LAPP, Annecy, France Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France I. Physikalisches Institut, RWTH Aachen University, Aachen, Germany Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Max-Planck-Institut für Kernphysik (MPIK), Heidelberg, Germany Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany School of Physics, University College Dublin, Dublin, Ireland INFN Sezione di Bari, Bari, Italy INFN Sezione di Bologna, Bologna, Italy INFN Sezione di Ferrara, Ferrara, Italy INFN Sezione di Firenze, Firenze, Italy INFN Laboratori Nazionali di Frascati, Frascati, Italy INFN Sezione di Genova, Genova, Italy INFN Sezione di Milano, Milano, Italy INFN Sezione di Milano-Bicocca, Milano, Italy INFN Sezione di Cagliari, Monserrato, Italy Università degli Studi di Padova, Università e INFN, Padova, Padova, Italy INFN Sezione di Perugia, Perugia, Italy INFN Sezione di Pisa, Pisa, Italy INFN Sezione di Roma La Sapienza, Roma, Italy INFN Sezione di Roma Tor Vergata, Roma, Italy Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands Nikhef National Institute for Subatomic Physics and VU University Amsterdam, Amsterdam, Netherlands AGH - University of Science and Technology, Faculty of Physics and Applied Computer Science, Kraków, Poland Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland National Center for Nuclear Research (NCBJ), Warsaw, Poland Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest-Magurele, Romania Affiliated with an institute covered by a cooperation agreement with CERN DS4DS, La Salle, Universitat Ramon Llull, Barcelona, Spain ICCUB, Universitat de Barcelona, Barcelona, Spain Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain Instituto de Fisica Corpuscular, Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain European Organization for Nuclear Research (CERN), Geneva, Switzerland Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland Physik-Institut, Universität Zürich, Zürich, Switzerland NSC Kharkiv Institute of Physics and Technology (NSC KIPT), Kharkiv, Ukraine Institute for Nuclear Research of the National Academy of Sciences (KINR), Kyiv, Ukraine University of Birmingham, Birmingham, United Kingdom H.H. Wills Physics Laboratory, University of Bristol, Bristol, United Kingdom Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom Department of Physics, University of Warwick, Coventry, United Kingdom STFC Rutherford Appleton Laboratory, Didcot, United Kingdom School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom Imperial College London, London, United Kingdom Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom Department of Physics, University of Oxford, Oxford, United Kingdom Massachusetts Institute of Technology, Cambridge, Massachusetts, USA University of Cincinnati, Cincinnati, Ohio, USA University of Maryland, College Park, Maryland, USA Los Alamos National Laboratory (LANL), Los Alamos, New Mexico, USA Syracuse University, Syracuse, New York, USA Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil (associated with Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil) School of Physics and Electronics, Hunan University, Changsha City, China (associated with Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China) Guangdong Provincial Key Laboratory of Nuclear Science, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, Institute of Quantum Matter, South China Normal University, Guangzhou, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China) Lanzhou University, Lanzhou, China (associated with Institute Of High Energy Physics (IHEP), Beijing, China) School of Physics and Technology, Wuhan University, Wuhan, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China) Departamento de Fisica, Universidad Nacional de Colombia, Bogota, Colombia (associated with LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France) Universität Bonn - Helmholtz-Institut für Strahlen und Kernphysik, Bonn, Germany (associated with Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany) Eotvos Lorand University, Budapest, Hungary (associated with European Organization for Nuclear Research (CERN), Geneva, Switzerland) Van Swinderen Institute, University of Groningen, Groningen, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands) Universiteit Maastricht, Maastricht, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands) Tadeusz Kosciuszko Cracow University of Technology, Cracow, Poland (associated with Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland) Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden (associated with School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom) University of Michigan, Ann Arbor, Michigan, USA (associated with Syracuse University, Syracuse, New York, USA) Departement de Physique Nucleaire (SPhN), Gif-Sur-Yvette, France
A T Grecu Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest-Magurele, Romania
L M Greeven Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
N A Grieser University of Cincinnati, Cincinnati, Ohio, USA
L Grillo School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom
S Gromov Affiliated with an institute covered by a cooperation agreement with CERN
C Gu Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France
M Guarise INFN Sezione di Ferrara, Ferrara, Italy
M Guittiere Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France
V Guliaeva Affiliated with an institute covered by a cooperation agreement with CERN
P A Günther Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
A-K Guseinov Affiliated with an institute covered by a cooperation agreement with CERN
E Gushchin Affiliated with an institute covered by a cooperation agreement with CERN
Y Guz School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China Affiliated with an institute covered by a cooperation agreement with CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland
T Gys European Organization for Nuclear Research (CERN), Geneva, Switzerland
T Hadavizadeh School of Physics and Astronomy, Monash University, Melbourne, Australia
C Hadjivasiliou University of Maryland, College Park, Maryland, USA
G Haefeli Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
C Haen European Organization for Nuclear Research (CERN), Geneva, Switzerland
J Haimberger European Organization for Nuclear Research (CERN), Geneva, Switzerland
M Hajheidari European Organization for Nuclear Research (CERN), Geneva, Switzerland
T Halewood-Leagas Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
M M Halvorsen European Organization for Nuclear Research (CERN), Geneva, Switzerland
P M Hamilton University of Maryland, College Park, Maryland, USA
J Hammerich Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
Q Han Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
X Han Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
S Hansmann-Menzemer Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
L Hao University of Chinese Academy of Sciences, Beijing, China
N Harnew Department of Physics, University of Oxford, Oxford, United Kingdom
T Harrison Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
M Hartmann Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France
C Hasse European Organization for Nuclear Research (CERN), Geneva, Switzerland
J He University of Chinese Academy of Sciences, Beijing, China
K Heijhoff Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
F Hemmer European Organization for Nuclear Research (CERN), Geneva, Switzerland
C Henderson University of Cincinnati, Cincinnati, Ohio, USA
R D L Henderson School of Physics and Astronomy, Monash University, Melbourne, Australia Department of Physics, University of Warwick, Coventry, United Kingdom
A M Hennequin European Organization for Nuclear Research (CERN), Geneva, Switzerland
K Hennessy Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
L Henry Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
J Herd Imperial College London, London, United Kingdom
J Heuel I. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
A Hicheur Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
D Hill Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
S E Hollitt Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
J Horswill Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
R Hou Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
Y Hou Université Savoie Mont Blanc, CNRS, IN2P3-LAPP, Annecy, France
N Howarth Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
J Hu Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
J Hu Guangdong Provincial Key Laboratory of Nuclear Science, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, Institute of Quantum Matter, South China Normal University, Guangzhou, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China)
W Hu School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
X Hu Center for High Energy Physics, Tsinghua University, Beijing, China
W Huang University of Chinese Academy of Sciences, Beijing, China
W Hulsbergen Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
R J Hunter Department of Physics, University of Warwick, Coventry, United Kingdom
M Hushchyn Affiliated with an institute covered by a cooperation agreement with CERN
D Hutchcroft Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
M Idzik AGH - University of Science and Technology, Faculty of Physics and Applied Computer Science, Kraków, Poland
D Ilin Affiliated with an institute covered by a cooperation agreement with CERN
P Ilten University of Cincinnati, Cincinnati, Ohio, USA
A Inglessi Affiliated with an institute covered by a cooperation agreement with CERN
A Iniukhin Affiliated with an institute covered by a cooperation agreement with CERN
A Ishteev Affiliated with an institute covered by a cooperation agreement with CERN
K Ivshin Affiliated with an institute covered by a cooperation agreement with CERN
R Jacobsson European Organization for Nuclear Research (CERN), Geneva, Switzerland
H Jage I. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
S J Jaimes Elles Instituto de Fisica Corpuscular, Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Departamento de Fisica, Universidad Nacional de Colombia, Bogota, Colombia (associated with LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France)
S Jakobsen European Organization for Nuclear Research (CERN), Geneva, Switzerland
E Jans Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
B K Jashal Instituto de Fisica Corpuscular, Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain
A Jawahery University of Maryland, College Park, Maryland, USA
V Jevtic Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
E Jiang University of Maryland, College Park, Maryland, USA
X Jiang Institute Of High Energy Physics (IHEP), Beijing, China University of Chinese Academy of Sciences, Beijing, China
Y Jiang University of Chinese Academy of Sciences, Beijing, China
Y J Jiang School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
M John Department of Physics, University of Oxford, Oxford, United Kingdom
D Johnson University of Birmingham, Birmingham, United Kingdom
C R Jones Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom
T P Jones Department of Physics, University of Warwick, Coventry, United Kingdom
S Joshi National Center for Nuclear Research (NCBJ), Warsaw, Poland
B Jost European Organization for Nuclear Research (CERN), Geneva, Switzerland
N Jurik European Organization for Nuclear Research (CERN), Geneva, Switzerland
I Juszczak Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
D Kaminaris Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
S Kandybei NSC Kharkiv Institute of Physics and Technology (NSC KIPT), Kharkiv, Ukraine
Y Kang Center for High Energy Physics, Tsinghua University, Beijing, China
M Karacson European Organization for Nuclear Research (CERN), Geneva, Switzerland
D Karpenkov Affiliated with an institute covered by a cooperation agreement with CERN
M Karpov Affiliated with an institute covered by a cooperation agreement with CERN
A M Kauniskangas Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
J W Kautz University of Cincinnati, Cincinnati, Ohio, USA
F Keizer European Organization for Nuclear Research (CERN), Geneva, Switzerland
D M Keller Syracuse University, Syracuse, New York, USA
M Kenzie Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom
T Ketel Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
B Khanji Syracuse University, Syracuse, New York, USA
A Kharisova Affiliated with an institute covered by a cooperation agreement with CERN
S Kholodenko INFN Sezione di Pisa, Pisa, Italy
G Khreich Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France
T Kirn I. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
V S Kirsebom Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
O Kitouni Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
S Klaver Nikhef National Institute for Subatomic Physics and VU University Amsterdam, Amsterdam, Netherlands
N Kleijne INFN Sezione di Pisa, Pisa, Italy
K Klimaszewski National Center for Nuclear Research (NCBJ), Warsaw, Poland
M R Kmiec National Center for Nuclear Research (NCBJ), Warsaw, Poland
S Koliiev Institute for Nuclear Research of the National Academy of Sciences (KINR), Kyiv, Ukraine
L Kolk Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
A Konoplyannikov Affiliated with an institute covered by a cooperation agreement with CERN
P Kopciewicz AGH - University of Science and Technology, Faculty of Physics and Applied Computer Science, Kraków, Poland European Organization for Nuclear Research (CERN), Geneva, Switzerland
P Koppenburg Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
M Korolev Affiliated with an institute covered by a cooperation agreement with CERN
I Kostiuk Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
O Kot Institute for Nuclear Research of the National Academy of Sciences (KINR), Kyiv, Ukraine
S Kotriakhova School of Physics and Astronomy, Monash University, Melbourne, Australia Centro Brasileiro de Pesquisas Físicas (CBPF), Rio de Janeiro, Brazil Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil Center for High Energy Physics, Tsinghua University, Beijing, China Institute Of High Energy Physics (IHEP), Beijing, China School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China University of Chinese Academy of Sciences, Beijing, China Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China Consejo Nacional de Rectores (CONARE), San Jose, Costa Rica Université Savoie Mont Blanc, CNRS, IN2P3-LAPP, Annecy, France Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France I. Physikalisches Institut, RWTH Aachen University, Aachen, Germany Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Max-Planck-Institut für Kernphysik (MPIK), Heidelberg, Germany Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany School of Physics, University College Dublin, Dublin, Ireland INFN Sezione di Bari, Bari, Italy INFN Sezione di Bologna, Bologna, Italy INFN Sezione di Ferrara, Ferrara, Italy INFN Sezione di Firenze, Firenze, Italy INFN Laboratori Nazionali di Frascati, Frascati, Italy INFN Sezione di Genova, Genova, Italy INFN Sezione di Milano, Milano, Italy INFN Sezione di Milano-Bicocca, Milano, Italy INFN Sezione di Cagliari, Monserrato, Italy Università degli Studi di Padova, Università e INFN, Padova, Padova, Italy INFN Sezione di Perugia, Perugia, Italy INFN Sezione di Pisa, Pisa, Italy INFN Sezione di Roma La Sapienza, Roma, Italy INFN Sezione di Roma Tor Vergata, Roma, Italy Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands Nikhef National Institute for Subatomic Physics and VU University Amsterdam, Amsterdam, Netherlands AGH - University of Science and Technology, Faculty of Physics and Applied Computer Science, Kraków, Poland Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland National Center for Nuclear Research (NCBJ), Warsaw, Poland Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest-Magurele, Romania Affiliated with an institute covered by a cooperation agreement with CERN DS4DS, La Salle, Universitat Ramon Llull, Barcelona, Spain ICCUB, Universitat de Barcelona, Barcelona, Spain Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain Instituto de Fisica Corpuscular, Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain European Organization for Nuclear Research (CERN), Geneva, Switzerland Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland Physik-Institut, Universität Zürich, Zürich, Switzerland NSC Kharkiv Institute of Physics and Technology (NSC KIPT), Kharkiv, Ukraine Institute for Nuclear Research of the National Academy of Sciences (KINR), Kyiv, Ukraine University of Birmingham, Birmingham, United Kingdom H.H. Wills Physics Laboratory, University of Bristol, Bristol, United Kingdom Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom Department of Physics, University of Warwick, Coventry, United Kingdom STFC Rutherford Appleton Laboratory, Didcot, United Kingdom School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom Imperial College London, London, United Kingdom Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom Department of Physics, University of Oxford, Oxford, United Kingdom Massachusetts Institute of Technology, Cambridge, Massachusetts, USA University of Cincinnati, Cincinnati, Ohio, USA University of Maryland, College Park, Maryland, USA Los Alamos National Laboratory (LANL), Los Alamos, New Mexico, USA Syracuse University, Syracuse, New York, USA Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil (associated with Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil) School of Physics and Electronics, Hunan University, Changsha City, China (associated with Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China) Guangdong Provincial Key Laboratory of Nuclear Science, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, Institute of Quantum Matter, South China Normal University, Guangzhou, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China) Lanzhou University, Lanzhou, China (associated with Institute Of High Energy Physics (IHEP), Beijing, China) School of Physics and Technology, Wuhan University, Wuhan, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China) Departamento de Fisica, Universidad Nacional de Colombia, Bogota, Colombia (associated with LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France) Universität Bonn - Helmholtz-Institut für Strahlen und Kernphysik, Bonn, Germany (associated with Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany) Eotvos Lorand University, Budapest, Hungary (associated with European Organization for Nuclear Research (CERN), Geneva, Switzerland) Van Swinderen Institute, University of Groningen, Groningen, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands) Universiteit Maastricht, Maastricht, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands) Tadeusz Kosciuszko Cracow University of Technology, Cracow, Poland (associated with Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland) Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden (associated with School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom) University of Michigan, Ann Arbor, Michigan, USA (associated with Syracuse University, Syracuse, New York, USA) Departement de Physique Nucleaire (SPhN), Gif-Sur-Yvette, France
A Kozachuk Affiliated with an institute covered by a cooperation agreement with CERN
P Kravchenko Affiliated with an institute covered by a cooperation agreement with CERN
L Kravchuk Affiliated with an institute covered by a cooperation agreement with CERN
M Kreps Department of Physics, University of Warwick, Coventry, United Kingdom
S Kretzschmar I. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
P Krokovny Affiliated with an institute covered by a cooperation agreement with CERN
W Krupa Syracuse University, Syracuse, New York, USA
W Krzemien National Center for Nuclear Research (NCBJ), Warsaw, Poland
J Kubat Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
S Kubis Tadeusz Kosciuszko Cracow University of Technology, Cracow, Poland (associated with Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland)
W Kucewicz Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
M Kucharczyk Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
V Kudryavtsev Affiliated with an institute covered by a cooperation agreement with CERN
E Kulikova Affiliated with an institute covered by a cooperation agreement with CERN
A Kupsc Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden (associated with School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom)
B K Kutsenko Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France
D Lacarrere European Organization for Nuclear Research (CERN), Geneva, Switzerland
A Lai INFN Sezione di Cagliari, Monserrato, Italy
A Lampis INFN Sezione di Cagliari, Monserrato, Italy
D Lancierini Physik-Institut, Universität Zürich, Zürich, Switzerland
C Landesa Gomez Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
J J Lane School of Physics and Astronomy, Monash University, Melbourne, Australia
R Lane H.H. Wills Physics Laboratory, University of Bristol, Bristol, United Kingdom
C Langenbruch Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
J Langer Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
O Lantwin Affiliated with an institute covered by a cooperation agreement with CERN
T Latham Department of Physics, University of Warwick, Coventry, United Kingdom
F Lazzari INFN Sezione di Pisa, Pisa, Italy
C Lazzeroni University of Birmingham, Birmingham, United Kingdom
R Le Gac Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France
S H Lee University of Michigan, Ann Arbor, Michigan, USA (associated with Syracuse University, Syracuse, New York, USA)
R Lefèvre Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
A Leflat Affiliated with an institute covered by a cooperation agreement with CERN
S Legotin Affiliated with an institute covered by a cooperation agreement with CERN
M Lehuraux Department of Physics, University of Warwick, Coventry, United Kingdom
O Leroy Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France
T Lesiak Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
B Leverington Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
A Li Center for High Energy Physics, Tsinghua University, Beijing, China
H Li Guangdong Provincial Key Laboratory of Nuclear Science, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, Institute of Quantum Matter, South China Normal University, Guangzhou, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China)
K Li Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
L Li Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
P Li European Organization for Nuclear Research (CERN), Geneva, Switzerland
P-R Li Lanzhou University, Lanzhou, China (associated with Institute Of High Energy Physics (IHEP), Beijing, China)
S Li Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
T Li Institute Of High Energy Physics (IHEP), Beijing, China
T Li Guangdong Provincial Key Laboratory of Nuclear Science, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, Institute of Quantum Matter, South China Normal University, Guangzhou, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China)
Y Li Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
Y Li Institute Of High Energy Physics (IHEP), Beijing, China
Z Li Syracuse University, Syracuse, New York, USA
Z Lian Center for High Energy Physics, Tsinghua University, Beijing, China
X Liang Syracuse University, Syracuse, New York, USA
C Lin University of Chinese Academy of Sciences, Beijing, China
T Lin STFC Rutherford Appleton Laboratory, Didcot, United Kingdom
R Lindner European Organization for Nuclear Research (CERN), Geneva, Switzerland
V Lisovskyi Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
R Litvinov INFN Sezione di Cagliari, Monserrato, Italy
G Liu Guangdong Provincial Key Laboratory of Nuclear Science, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, Institute of Quantum Matter, South China Normal University, Guangzhou, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China)
H Liu University of Chinese Academy of Sciences, Beijing, China
K Liu Lanzhou University, Lanzhou, China (associated with Institute Of High Energy Physics (IHEP), Beijing, China)
Q Liu University of Chinese Academy of Sciences, Beijing, China
S Liu Institute Of High Energy Physics (IHEP), Beijing, China University of Chinese Academy of Sciences, Beijing, China
Y Liu School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
Y Liu Lanzhou University, Lanzhou, China (associated with Institute Of High Energy Physics (IHEP), Beijing, China)
Y L Liu Imperial College London, London, United Kingdom
A Lobo Salvia ICCUB, Universitat de Barcelona, Barcelona, Spain
A Loi INFN Sezione di Cagliari, Monserrato, Italy
J Lomba Castro Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
T Long Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom
J H Lopes Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
A Lopez Huertas ICCUB, Universitat de Barcelona, Barcelona, Spain
S López Soliño Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
G H Lovell Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom
C Lucarelli INFN Sezione di Firenze, Firenze, Italy
D Lucchesi Università degli Studi di Padova, Università e INFN, Padova, Padova, Italy
S Luchuk Affiliated with an institute covered by a cooperation agreement with CERN
M Lucio Martinez Universiteit Maastricht, Maastricht, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands)
V Lukashenko Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands Institute for Nuclear Research of the National Academy of Sciences (KINR), Kyiv, Ukraine
Y Luo Center for High Energy Physics, Tsinghua University, Beijing, China
A Lupato Università degli Studi di Padova, Università e INFN, Padova, Padova, Italy
E Luppi INFN Sezione di Ferrara, Ferrara, Italy
K Lynch School of Physics, University College Dublin, Dublin, Ireland
X-R Lyu University of Chinese Academy of Sciences, Beijing, China
G M Ma Center for High Energy Physics, Tsinghua University, Beijing, China
R Ma University of Chinese Academy of Sciences, Beijing, China
S Maccolini Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
F Machefert Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France
F Maciuc Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest-Magurele, Romania
I Mackay Department of Physics, University of Oxford, Oxford, United Kingdom
L R Madhan Mohan Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom
M M Madurai University of Birmingham, Birmingham, United Kingdom
A Maevskiy Affiliated with an institute covered by a cooperation agreement with CERN
D Magdalinski Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
D Maisuzenko Affiliated with an institute covered by a cooperation agreement with CERN
M W Majewski AGH - University of Science and Technology, Faculty of Physics and Applied Computer Science, Kraków, Poland
J J Malczewski Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
S Malde Department of Physics, University of Oxford, Oxford, United Kingdom
B Malecki Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland European Organization for Nuclear Research (CERN), Geneva, Switzerland
L Malentacca European Organization for Nuclear Research (CERN), Geneva, Switzerland
A Malinin Affiliated with an institute covered by a cooperation agreement with CERN
T Maltsev Affiliated with an institute covered by a cooperation agreement with CERN
G Manca INFN Sezione di Cagliari, Monserrato, Italy
G Mancinelli Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France
C Mancuso Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France INFN Sezione di Milano, Milano, Italy
R Manera Escalero ICCUB, Universitat de Barcelona, Barcelona, Spain
D Manuzzi INFN Sezione di Bologna, Bologna, Italy
D Marangotto INFN Sezione di Milano, Milano, Italy
J F Marchand Université Savoie Mont Blanc, CNRS, IN2P3-LAPP, Annecy, France
R Marchevski Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
U Marconi INFN Sezione di Bologna, Bologna, Italy
S Mariani European Organization for Nuclear Research (CERN), Geneva, Switzerland
C Marin Benito ICCUB, Universitat de Barcelona, Barcelona, Spain European Organization for Nuclear Research (CERN), Geneva, Switzerland
J Marks Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
A M Marshall H.H. Wills Physics Laboratory, University of Bristol, Bristol, United Kingdom
P J Marshall Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
G Martelli INFN Sezione di Perugia, Perugia, Italy
G Martellotti INFN Sezione di Roma La Sapienza, Roma, Italy
L Martinazzoli European Organization for Nuclear Research (CERN), Geneva, Switzerland
M Martinelli INFN Sezione di Milano-Bicocca, Milano, Italy
D Martinez Santos Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
F Martinez Vidal Instituto de Fisica Corpuscular, Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain
A Massafferri Centro Brasileiro de Pesquisas Físicas (CBPF), Rio de Janeiro, Brazil
M Materok I. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
R Matev European Organization for Nuclear Research (CERN), Geneva, Switzerland
A Mathad Physik-Institut, Universität Zürich, Zürich, Switzerland
V Matiunin Affiliated with an institute covered by a cooperation agreement with CERN
C Matteuzzi Syracuse University, Syracuse, New York, USA
K R Mattioli Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France
A Mauri Imperial College London, London, United Kingdom
E Maurice Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France
J Mauricio ICCUB, Universitat de Barcelona, Barcelona, Spain
P Mayencourt Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
M Mazurek European Organization for Nuclear Research (CERN), Geneva, Switzerland
M McCann Imperial College London, London, United Kingdom
L Mcconnell School of Physics, University College Dublin, Dublin, Ireland
T H McGrath Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
N T McHugh School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom
A McNab Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
R McNulty School of Physics, University College Dublin, Dublin, Ireland
B Meadows University of Cincinnati, Cincinnati, Ohio, USA
G Meier Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
D Melnychuk National Center for Nuclear Research (NCBJ), Warsaw, Poland
M Merk Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands Universiteit Maastricht, Maastricht, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands)
A Merli INFN Sezione di Milano, Milano, Italy
L Meyer Garcia Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
D Miao Institute Of High Energy Physics (IHEP), Beijing, China University of Chinese Academy of Sciences, Beijing, China
H Miao University of Chinese Academy of Sciences, Beijing, China
M Mikhasenko Universität Bonn - Helmholtz-Institut für Strahlen und Kernphysik, Bonn, Germany (associated with Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany)
D A Milanes Departamento de Fisica, Universidad Nacional de Colombia, Bogota, Colombia (associated with LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France)
A Minotti INFN Sezione di Milano-Bicocca, Milano, Italy
E Minucci Syracuse University, Syracuse, New York, USA
T Miralles Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
S E Mitchell School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
B Mitreska Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
D S Mitzel Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
A Modak STFC Rutherford Appleton Laboratory, Didcot, United Kingdom
A Mödden Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
R A Mohammed Department of Physics, University of Oxford, Oxford, United Kingdom
R D Moise I. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
S Mokhnenko Affiliated with an institute covered by a cooperation agreement with CERN
T Mombächer European Organization for Nuclear Research (CERN), Geneva, Switzerland
M Monk School of Physics and Astronomy, Monash University, Melbourne, Australia Department of Physics, University of Warwick, Coventry, United Kingdom
I A Monroy Departamento de Fisica, Universidad Nacional de Colombia, Bogota, Colombia (associated with LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France)
S Monteil Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
A Morcillo Gomez Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
G Morello INFN Laboratori Nazionali di Frascati, Frascati, Italy
M J Morello INFN Sezione di Pisa, Pisa, Italy
M P Morgenthaler Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
J Moron AGH - University of Science and Technology, Faculty of Physics and Applied Computer Science, Kraków, Poland
A B Morris European Organization for Nuclear Research (CERN), Geneva, Switzerland
A G Morris Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France
R Mountain Syracuse University, Syracuse, New York, USA
H Mu Center for High Energy Physics, Tsinghua University, Beijing, China
Z M Mu School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
E Muhammad Department of Physics, University of Warwick, Coventry, United Kingdom
F Muheim School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
M Mulder Van Swinderen Institute, University of Groningen, Groningen, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands)
K Müller Physik-Institut, Universität Zürich, Zürich, Switzerland
F Mũnoz-Rojas Consejo Nacional de Rectores (CONARE), San Jose, Costa Rica
R Murta Imperial College London, London, United Kingdom
P Naik Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
T Nakada Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
R Nandakumar STFC Rutherford Appleton Laboratory, Didcot, United Kingdom
T Nanut European Organization for Nuclear Research (CERN), Geneva, Switzerland
I Nasteva Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
M Needham School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
N Neri INFN Sezione di Milano, Milano, Italy
S Neubert Universität Bonn - Helmholtz-Institut für Strahlen und Kernphysik, Bonn, Germany (associated with Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany)
N Neufeld European Organization for Nuclear Research (CERN), Geneva, Switzerland
P Neustroev Affiliated with an institute covered by a cooperation agreement with CERN
R Newcombe Imperial College London, London, United Kingdom
J Nicolini Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
D Nicotra Universiteit Maastricht, Maastricht, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands)
E M Niel Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
N Nikitin Affiliated with an institute covered by a cooperation agreement with CERN
P Nogga Universität Bonn - Helmholtz-Institut für Strahlen und Kernphysik, Bonn, Germany (associated with Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany)
N S Nolte Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
C Normand Université Savoie Mont Blanc, CNRS, IN2P3-LAPP, Annecy, France INFN Sezione di Cagliari, Monserrato, Italy
J Novoa Fernandez Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
G Nowak University of Cincinnati, Cincinnati, Ohio, USA
C Nunez University of Michigan, Ann Arbor, Michigan, USA (associated with Syracuse University, Syracuse, New York, USA)
H N Nur School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom
A Oblakowska-Mucha AGH - University of Science and Technology, Faculty of Physics and Applied Computer Science, Kraków, Poland
V Obraztsov Affiliated with an institute covered by a cooperation agreement with CERN
T Oeser I. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
S Okamura INFN Sezione di Ferrara, Ferrara, Italy European Organization for Nuclear Research (CERN), Geneva, Switzerland
R Oldeman INFN Sezione di Cagliari, Monserrato, Italy
F Oliva School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
M Olocco Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
C J G Onderwater Universiteit Maastricht, Maastricht, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands)
R H O'Neil School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
J M Otalora Goicochea Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
T Ovsiannikova Affiliated with an institute covered by a cooperation agreement with CERN
P Owen Physik-Institut, Universität Zürich, Zürich, Switzerland
A Oyanguren Instituto de Fisica Corpuscular, Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain
O Ozcelik School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
K O Padeken Universität Bonn - Helmholtz-Institut für Strahlen und Kernphysik, Bonn, Germany (associated with Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany)
B Pagare Department of Physics, University of Warwick, Coventry, United Kingdom
P R Pais Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
T Pajero Department of Physics, University of Oxford, Oxford, United Kingdom
A Palano INFN Sezione di Bari, Bari, Italy
M Palutan INFN Laboratori Nazionali di Frascati, Frascati, Italy
G Panshin Affiliated with an institute covered by a cooperation agreement with CERN
L Paolucci Department of Physics, University of Warwick, Coventry, United Kingdom
A Papanestis STFC Rutherford Appleton Laboratory, Didcot, United Kingdom
M Pappagallo INFN Sezione di Bari, Bari, Italy
L L Pappalardo INFN Sezione di Ferrara, Ferrara, Italy
C Pappenheimer University of Cincinnati, Cincinnati, Ohio, USA
C Parkes Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
B Passalacqua INFN Sezione di Ferrara, Ferrara, Italy
G Passaleva INFN Sezione di Firenze, Firenze, Italy
D Passaro INFN Sezione di Pisa, Pisa, Italy
A Pastore INFN Sezione di Bari, Bari, Italy
M Patel Imperial College London, London, United Kingdom
J Patoc Department of Physics, University of Oxford, Oxford, United Kingdom
C Patrignani INFN Sezione di Bologna, Bologna, Italy
C J Pawley Universiteit Maastricht, Maastricht, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands)
A Pellegrino Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
M Pepe Altarelli INFN Laboratori Nazionali di Frascati, Frascati, Italy
S Perazzini INFN Sezione di Bologna, Bologna, Italy
D Pereima Affiliated with an institute covered by a cooperation agreement with CERN
A Pereiro Castro Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
P Perret Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
A Perro European Organization for Nuclear Research (CERN), Geneva, Switzerland
K Petridis H.H. Wills Physics Laboratory, University of Bristol, Bristol, United Kingdom
A Petrolini INFN Sezione di Genova, Genova, Italy
S Petrucci School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
H Pham Syracuse University, Syracuse, New York, USA
L Pica INFN Sezione di Pisa, Pisa, Italy
M Piccini INFN Sezione di Perugia, Perugia, Italy
B Pietrzyk Université Savoie Mont Blanc, CNRS, IN2P3-LAPP, Annecy, France
G Pietrzyk Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France
D Pinci INFN Sezione di Roma La Sapienza, Roma, Italy
F Pisani European Organization for Nuclear Research (CERN), Geneva, Switzerland
M Pizzichemi INFN Sezione di Milano-Bicocca, Milano, Italy
V Placinta Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest-Magurele, Romania
M Plo Casasus Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
F Polci LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France European Organization for Nuclear Research (CERN), Geneva, Switzerland
M Poli Lener INFN Laboratori Nazionali di Frascati, Frascati, Italy
A Poluektov Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France
N Polukhina Affiliated with an institute covered by a cooperation agreement with CERN
I Polyakov European Organization for Nuclear Research (CERN), Geneva, Switzerland
E Polycarpo Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
S Ponce European Organization for Nuclear Research (CERN), Geneva, Switzerland
D Popov University of Chinese Academy of Sciences, Beijing, China
S Poslavskii Affiliated with an institute covered by a cooperation agreement with CERN
K Prasanth Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
C Prouve Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
V Pugatch Institute for Nuclear Research of the National Academy of Sciences (KINR), Kyiv, Ukraine
V Puill Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France
G Punzi INFN Sezione di Pisa, Pisa, Italy
H R Qi Center for High Energy Physics, Tsinghua University, Beijing, China
W Qian University of Chinese Academy of Sciences, Beijing, China
N Qin Center for High Energy Physics, Tsinghua University, Beijing, China
S Qu Center for High Energy Physics, Tsinghua University, Beijing, China
R Quagliani Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
R I Rabadan Trejo Department of Physics, University of Warwick, Coventry, United Kingdom
B Rachwal AGH - University of Science and Technology, Faculty of Physics and Applied Computer Science, Kraków, Poland
J H Rademacker H.H. Wills Physics Laboratory, University of Bristol, Bristol, United Kingdom
M Rama INFN Sezione di Pisa, Pisa, Italy
M Ramírez García University of Michigan, Ann Arbor, Michigan, USA (associated with Syracuse University, Syracuse, New York, USA)
M Ramos Pernas Department of Physics, University of Warwick, Coventry, United Kingdom
M S Rangel Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
F Ratnikov Affiliated with an institute covered by a cooperation agreement with CERN
G Raven Nikhef National Institute for Subatomic Physics and VU University Amsterdam, Amsterdam, Netherlands
M Rebollo De Miguel Instituto de Fisica Corpuscular, Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain
F Redi European Organization for Nuclear Research (CERN), Geneva, Switzerland
J Reich H.H. Wills Physics Laboratory, University of Bristol, Bristol, United Kingdom
F Reiss Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
Z Ren University of Chinese Academy of Sciences, Beijing, China
P K Resmi Department of Physics, University of Oxford, Oxford, United Kingdom
R Ribatti INFN Sezione di Pisa, Pisa, Italy
G R Ricart Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France Departement de Physique Nucleaire (SPhN), Gif-Sur-Yvette, France
D Riccardi INFN Sezione di Pisa, Pisa, Italy
S Ricciardi STFC Rutherford Appleton Laboratory, Didcot, United Kingdom
K Richardson Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
M Richardson-Slipper School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
K Rinnert Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
P Robbe Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France
G Robertson School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom
E Rodrigues European Organization for Nuclear Research (CERN), Geneva, Switzerland Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
E Rodriguez Fernandez Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
J A Rodriguez Lopez Departamento de Fisica, Universidad Nacional de Colombia, Bogota, Colombia (associated with LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France)
E Rodriguez Rodriguez Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
A Rogovskiy STFC Rutherford Appleton Laboratory, Didcot, United Kingdom
D L Rolf European Organization for Nuclear Research (CERN), Geneva, Switzerland
A Rollings Department of Physics, University of Oxford, Oxford, United Kingdom
P Roloff European Organization for Nuclear Research (CERN), Geneva, Switzerland
V Romanovskiy Affiliated with an institute covered by a cooperation agreement with CERN
M Romero Lamas Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
A Romero Vidal Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
G Romolini INFN Sezione di Ferrara, Ferrara, Italy
F Ronchetti Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
M Rotondo INFN Laboratori Nazionali di Frascati, Frascati, Italy
S R Roy Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
M S Rudolph Syracuse University, Syracuse, New York, USA
T Ruf European Organization for Nuclear Research (CERN), Geneva, Switzerland
M Ruiz Diaz Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
R A Ruiz Fernandez Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
J Ruiz Vidal Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden (associated with School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom)
A Ryzhikov Affiliated with an institute covered by a cooperation agreement with CERN
J Ryzka AGH - University of Science and Technology, Faculty of Physics and Applied Computer Science, Kraków, Poland
J J Saborido Silva Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
R Sadek Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France
N Sagidova Affiliated with an institute covered by a cooperation agreement with CERN
N Sahoo University of Birmingham, Birmingham, United Kingdom
B Saitta INFN Sezione di Cagliari, Monserrato, Italy
M Salomoni INFN Sezione di Milano-Bicocca, Milano, Italy
C Sanchez Gras Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
I Sanderswood Instituto de Fisica Corpuscular, Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain
R Santacesaria INFN Sezione di Roma La Sapienza, Roma, Italy
C Santamarina Rios Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
M Santimaria INFN Laboratori Nazionali di Frascati, Frascati, Italy
L Santoro Centro Brasileiro de Pesquisas Físicas (CBPF), Rio de Janeiro, Brazil
E Santovetti INFN Sezione di Roma Tor Vergata, Roma, Italy
A Saputi INFN Sezione di Ferrara, Ferrara, Italy European Organization for Nuclear Research (CERN), Geneva, Switzerland
D Saranin Affiliated with an institute covered by a cooperation agreement with CERN
G Sarpis School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
M Sarpis Universität Bonn - Helmholtz-Institut für Strahlen und Kernphysik, Bonn, Germany (associated with Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany)
A Sarti INFN Sezione di Roma La Sapienza, Roma, Italy
C Satriano INFN Sezione di Roma La Sapienza, Roma, Italy
A Satta INFN Sezione di Roma Tor Vergata, Roma, Italy
M Saur School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
D Savrina Affiliated with an institute covered by a cooperation agreement with CERN
H Sazak Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
L G Scantlebury Smead Department of Physics, University of Oxford, Oxford, United Kingdom
A Scarabotto LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France
S Schael I. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
S Scherl Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
A M Schertz Eotvos Lorand University, Budapest, Hungary (associated with European Organization for Nuclear Research (CERN), Geneva, Switzerland)
M Schiller School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom
H Schindler European Organization for Nuclear Research (CERN), Geneva, Switzerland
M Schmelling Max-Planck-Institut für Kernphysik (MPIK), Heidelberg, Germany
B Schmidt European Organization for Nuclear Research (CERN), Geneva, Switzerland
S Schmitt I. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
H Schmitz Universität Bonn - Helmholtz-Institut für Strahlen und Kernphysik, Bonn, Germany (associated with Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany)
O Schneider Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
A Schopper European Organization for Nuclear Research (CERN), Geneva, Switzerland
N Schulte Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
S Schulte Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
M H Schune Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France
R Schwemmer European Organization for Nuclear Research (CERN), Geneva, Switzerland
G Schwering I. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
B Sciascia INFN Laboratori Nazionali di Frascati, Frascati, Italy
A Sciuccati European Organization for Nuclear Research (CERN), Geneva, Switzerland
S Sellam Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
A Semennikov Affiliated with an institute covered by a cooperation agreement with CERN
M Senghi Soares Nikhef National Institute for Subatomic Physics and VU University Amsterdam, Amsterdam, Netherlands
A Sergi INFN Sezione di Genova, Genova, Italy
N Serra European Organization for Nuclear Research (CERN), Geneva, Switzerland Physik-Institut, Universität Zürich, Zürich, Switzerland
L Sestini Università degli Studi di Padova, Università e INFN, Padova, Padova, Italy
A Seuthe Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
Y Shang School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
D M Shangase University of Michigan, Ann Arbor, Michigan, USA (associated with Syracuse University, Syracuse, New York, USA)
M Shapkin Affiliated with an institute covered by a cooperation agreement with CERN
I Shchemerov Affiliated with an institute covered by a cooperation agreement with CERN
L Shchutska Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
T Shears Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
L Shekhtman Affiliated with an institute covered by a cooperation agreement with CERN
Z Shen School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
S Sheng Institute Of High Energy Physics (IHEP), Beijing, China University of Chinese Academy of Sciences, Beijing, China
V Shevchenko Affiliated with an institute covered by a cooperation agreement with CERN
B Shi University of Chinese Academy of Sciences, Beijing, China
E B Shields INFN Sezione di Milano-Bicocca, Milano, Italy
Y Shimizu Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France
E Shmanin Affiliated with an institute covered by a cooperation agreement with CERN
R Shorkin Affiliated with an institute covered by a cooperation agreement with CERN
J D Shupperd Syracuse University, Syracuse, New York, USA
R Silva Coutinho Syracuse University, Syracuse, New York, USA
G Simi Università degli Studi di Padova, Università e INFN, Padova, Padova, Italy
S Simone INFN Sezione di Bari, Bari, Italy
N Skidmore Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
R Skuza Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
T Skwarnicki Syracuse University, Syracuse, New York, USA
M W Slater University of Birmingham, Birmingham, United Kingdom
J C Smallwood Department of Physics, University of Oxford, Oxford, United Kingdom
E Smith Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
K Smith Los Alamos National Laboratory (LANL), Los Alamos, New Mexico, USA
M Smith Imperial College London, London, United Kingdom
A Snoch Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
L Soares Lavra School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
M D Sokoloff University of Cincinnati, Cincinnati, Ohio, USA
F J P Soler School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom
A Solomin Affiliated with an institute covered by a cooperation agreement with CERN H.H. Wills Physics Laboratory, University of Bristol, Bristol, United Kingdom
A Solovev Affiliated with an institute covered by a cooperation agreement with CERN
I Solovyev Affiliated with an institute covered by a cooperation agreement with CERN
R Song School of Physics and Astronomy, Monash University, Melbourne, Australia
Y Song Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Y Song Center for High Energy Physics, Tsinghua University, Beijing, China
Y S Song School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
F L Souza De Almeida Syracuse University, Syracuse, New York, USA
B Souza De Paula Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
E Spadaro Norella INFN Sezione di Milano, Milano, Italy
E Spedicato INFN Sezione di Bologna, Bologna, Italy
J G Speer Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
E Spiridenkov Affiliated with an institute covered by a cooperation agreement with CERN
P Spradlin School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom
V Sriskaran European Organization for Nuclear Research (CERN), Geneva, Switzerland
F Stagni European Organization for Nuclear Research (CERN), Geneva, Switzerland
M Stahl European Organization for Nuclear Research (CERN), Geneva, Switzerland
S Stahl European Organization for Nuclear Research (CERN), Geneva, Switzerland
S Stanislaus Department of Physics, University of Oxford, Oxford, United Kingdom
E N Stein European Organization for Nuclear Research (CERN), Geneva, Switzerland
O Steinkamp Physik-Institut, Universität Zürich, Zürich, Switzerland
O Stenyakin Affiliated with an institute covered by a cooperation agreement with CERN
H Stevens Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
D Strekalina Affiliated with an institute covered by a cooperation agreement with CERN
Y Su University of Chinese Academy of Sciences, Beijing, China
F Suljik Department of Physics, University of Oxford, Oxford, United Kingdom
J Sun INFN Sezione di Cagliari, Monserrato, Italy
L Sun School of Physics and Technology, Wuhan University, Wuhan, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China)
Y Sun University of Maryland, College Park, Maryland, USA
P N Swallow University of Birmingham, Birmingham, United Kingdom
K Swientek AGH - University of Science and Technology, Faculty of Physics and Applied Computer Science, Kraków, Poland
F Swystun Department of Physics, University of Warwick, Coventry, United Kingdom
A Szabelski National Center for Nuclear Research (NCBJ), Warsaw, Poland
T Szumlak AGH - University of Science and Technology, Faculty of Physics and Applied Computer Science, Kraków, Poland
M Szymanski European Organization for Nuclear Research (CERN), Geneva, Switzerland
Y Tan Center for High Energy Physics, Tsinghua University, Beijing, China
S Taneja Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
M D Tat Department of Physics, University of Oxford, Oxford, United Kingdom
A Terentev Physik-Institut, Universität Zürich, Zürich, Switzerland
F Terzuoli INFN Sezione di Pisa, Pisa, Italy
F Teubert European Organization for Nuclear Research (CERN), Geneva, Switzerland
E Thomas European Organization for Nuclear Research (CERN), Geneva, Switzerland
D J D Thompson University of Birmingham, Birmingham, United Kingdom
H Tilquin Imperial College London, London, United Kingdom
V Tisserand Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
S T'Jampens Université Savoie Mont Blanc, CNRS, IN2P3-LAPP, Annecy, France
M Tobin Institute Of High Energy Physics (IHEP), Beijing, China
L Tomassetti INFN Sezione di Ferrara, Ferrara, Italy
G Tonani INFN Sezione di Milano, Milano, Italy
X Tong School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
D Torres Machado Centro Brasileiro de Pesquisas Físicas (CBPF), Rio de Janeiro, Brazil
L Toscano Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
D Y Tou Center for High Energy Physics, Tsinghua University, Beijing, China
C Trippl DS4DS, La Salle, Universitat Ramon Llull, Barcelona, Spain
G Tuci Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
N Tuning Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
L H Uecker Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
A Ukleja AGH - University of Science and Technology, Faculty of Physics and Applied Computer Science, Kraków, Poland
D J Unverzagt Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
E Ursov Affiliated with an institute covered by a cooperation agreement with CERN
A Usachov Nikhef National Institute for Subatomic Physics and VU University Amsterdam, Amsterdam, Netherlands
A Ustyuzhanin Affiliated with an institute covered by a cooperation agreement with CERN
U Uwer Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
V Vagnoni INFN Sezione di Bologna, Bologna, Italy
A Valassi European Organization for Nuclear Research (CERN), Geneva, Switzerland
G Valenti INFN Sezione di Bologna, Bologna, Italy
N Valls Canudas DS4DS, La Salle, Universitat Ramon Llull, Barcelona, Spain
H Van Hecke Los Alamos National Laboratory (LANL), Los Alamos, New Mexico, USA
E van Herwijnen Imperial College London, London, United Kingdom
C B Van Hulse Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
R Van Laak Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
M van Veghel Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands
R Vazquez Gomez ICCUB, Universitat de Barcelona, Barcelona, Spain
P Vazquez Regueiro Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
C Vázquez Sierra Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
S Vecchi INFN Sezione di Ferrara, Ferrara, Italy
J J Velthuis H.H. Wills Physics Laboratory, University of Bristol, Bristol, United Kingdom
M Veltri INFN Sezione di Firenze, Firenze, Italy
A Venkateswaran Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
M Vesterinen Department of Physics, University of Warwick, Coventry, United Kingdom
D Vieira University of Cincinnati, Cincinnati, Ohio, USA
M Vieites Diaz European Organization for Nuclear Research (CERN), Geneva, Switzerland
X Vilasis-Cardona DS4DS, La Salle, Universitat Ramon Llull, Barcelona, Spain
E Vilella Figueras Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom
A Villa INFN Sezione di Bologna, Bologna, Italy
P Vincent LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France
F C Volle Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France
D Vom Bruch Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France
V Vorobyev Affiliated with an institute covered by a cooperation agreement with CERN
N Voropaev Affiliated with an institute covered by a cooperation agreement with CERN
K Vos Universiteit Maastricht, Maastricht, Netherlands (associated with Nikhef National Institute for Subatomic Physics, Amsterdam, Netherlands)
G Vouters Université Savoie Mont Blanc, CNRS, IN2P3-LAPP, Annecy, France
C Vrahas School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
J Walsh INFN Sezione di Pisa, Pisa, Italy
E J Walton School of Physics and Astronomy, Monash University, Melbourne, Australia
G Wan School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
C Wang Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
G Wang Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
J Wang School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
J Wang Institute Of High Energy Physics (IHEP), Beijing, China
J Wang Center for High Energy Physics, Tsinghua University, Beijing, China
J Wang School of Physics and Technology, Wuhan University, Wuhan, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China)
M Wang INFN Sezione di Milano, Milano, Italy
N W Wang University of Chinese Academy of Sciences, Beijing, China
R Wang H.H. Wills Physics Laboratory, University of Bristol, Bristol, United Kingdom
X Wang Guangdong Provincial Key Laboratory of Nuclear Science, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, Institute of Quantum Matter, South China Normal University, Guangzhou, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China)
X W Wang Imperial College London, London, United Kingdom
Y Wang Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
Z Wang Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France
Z Wang Center for High Energy Physics, Tsinghua University, Beijing, China
Z Wang University of Chinese Academy of Sciences, Beijing, China
J A Ward School of Physics and Astronomy, Monash University, Melbourne, Australia Department of Physics, University of Warwick, Coventry, United Kingdom
N K Watson University of Birmingham, Birmingham, United Kingdom
D Websdale Imperial College London, London, United Kingdom
Y Wei School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
B D C Westhenry H.H. Wills Physics Laboratory, University of Bristol, Bristol, United Kingdom
D J White Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
M Whitehead School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom
A R Wiederhold Department of Physics, University of Warwick, Coventry, United Kingdom
D Wiedner Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany
G Wilkinson Department of Physics, University of Oxford, Oxford, United Kingdom
M K Wilkinson University of Cincinnati, Cincinnati, Ohio, USA
M Williams Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
M R J Williams School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom
R Williams Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom
F F Wilson STFC Rutherford Appleton Laboratory, Didcot, United Kingdom
W Wislicki National Center for Nuclear Research (NCBJ), Warsaw, Poland
M Witek Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
L Witola Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
C P Wong Los Alamos National Laboratory (LANL), Los Alamos, New Mexico, USA
G Wormser Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France
S A Wotton Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom
H Wu Syracuse University, Syracuse, New York, USA
J Wu Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
Y Wu School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
K Wyllie European Organization for Nuclear Research (CERN), Geneva, Switzerland
S Xian Guangdong Provincial Key Laboratory of Nuclear Science, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, Institute of Quantum Matter, South China Normal University, Guangzhou, China (associated with Center for High Energy Physics, Tsinghua University, Beijing, China)
Z Xiang Institute Of High Energy Physics (IHEP), Beijing, China
Y Xie Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
A Xu INFN Sezione di Pisa, Pisa, Italy
J Xu University of Chinese Academy of Sciences, Beijing, China
L Xu Center for High Energy Physics, Tsinghua University, Beijing, China
L Xu Center for High Energy Physics, Tsinghua University, Beijing, China
M Xu Department of Physics, University of Warwick, Coventry, United Kingdom
Z Xu Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
Z Xu University of Chinese Academy of Sciences, Beijing, China
Z Xu Institute Of High Energy Physics (IHEP), Beijing, China
D Yang Center for High Energy Physics, Tsinghua University, Beijing, China
S Yang University of Chinese Academy of Sciences, Beijing, China
X Yang School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
Y Yang INFN Sezione di Genova, Genova, Italy
Z Yang School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
Z Yang University of Maryland, College Park, Maryland, USA
V Yeroshenko Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France
H Yeung Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
H Yin Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
C Y Yu School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
J Yu School of Physics and Electronics, Hunan University, Changsha City, China (associated with Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China)
X Yuan Institute Of High Energy Physics (IHEP), Beijing, China
E Zaffaroni Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
M Zavertyaev Max-Planck-Institut für Kernphysik (MPIK), Heidelberg, Germany
M Zdybal Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, Kraków, Poland
M Zeng Center for High Energy Physics, Tsinghua University, Beijing, China
C Zhang School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
D Zhang Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
J Zhang University of Chinese Academy of Sciences, Beijing, China
L Zhang Center for High Energy Physics, Tsinghua University, Beijing, China
S Zhang School of Physics and Electronics, Hunan University, Changsha City, China (associated with Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China)
S Zhang School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
Y Zhang School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
Y Zhang Department of Physics, University of Oxford, Oxford, United Kingdom
Y Z Zhang Center for High Energy Physics, Tsinghua University, Beijing, China
Y Zhao Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
A Zharkova Affiliated with an institute covered by a cooperation agreement with CERN
A Zhelezov Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
X Z Zheng Center for High Energy Physics, Tsinghua University, Beijing, China
Y Zheng University of Chinese Academy of Sciences, Beijing, China
T Zhou School of Physics State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing, China
X Zhou Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
Y Zhou University of Chinese Academy of Sciences, Beijing, China
V Zhovkovska Department of Physics, University of Warwick, Coventry, United Kingdom
L Z Zhu University of Chinese Academy of Sciences, Beijing, China
X Zhu Center for High Energy Physics, Tsinghua University, Beijing, China
X Zhu Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China
Z Zhu University of Chinese Academy of Sciences, Beijing, China
V Zhukov I. Physikalisches Institut, RWTH Aachen University, Aachen, Germany Affiliated with an institute covered by a cooperation agreement with CERN
J Zhuo Instituto de Fisica Corpuscular, Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain
Q Zou Institute Of High Energy Physics (IHEP), Beijing, China University of Chinese Academy of Sciences, Beijing, China
D Zuliani Università degli Studi di Padova, Università e INFN, Padova, Padova, Italy
G Zunica Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom

Collapse

Quantifying carboxymethyl lysine and carboxyethyl lysine in human plasma: clinical insights into aging research using liquid chromatography-tandem mass spectrometry

OBJECTIVE

The objective of this study was to establish a methodology for determining carboxymethyl lysine (CML) and carboxyethyl lysine (CEL) concentrations in human plasma using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The test results were also used for clinical aging research.

METHODS

Human plasma samples were incubated with aqueous perfluorovaleric acid (NFPA), succeeded by precipitation utilizing trichloroacetic acid, hydrolysis facilitated by hydrochloric acid, nitrogen drying, and ultimate re-dissolution utilizing NFPA, followed by filtration. Cotinine-D3 was added as an internal standard. The separation was performed on an Agela Venusil ASB C18 column (50 mm × 4.6 mm, 5 μm) with a 5 mmol/L NFPA and acetonitrile/water of 60:40 (v/v) containing 0.15% formic acid. The multiple reaction monitoring mode was used for detecting CML, CEL, and cotinine-D3, with ion pairs m/z 205.2 > 84.1 (for quantitative) and m/z 205.2 > m/z 130.0 for CML, m/z 219.1 > 84.1 (for quantitative) and m/z 219.1 > m/z 130.1 for CEL, and m/z 180.1 > 80.1 for cotinine-D3, respectively.

RESULTS

The separation of CML and CEL was accomplished within a total analysis time of 6 minutes. The retention times of CML, CEL, and cotinine-D3 were 3.43 minutes, 3.46 minutes, and 4.50 minutes, respectively. The assay exhibited linearity in the concentration range of 0.025-1.500 μmol/L, with a lower limit of quantification of 0.025 μmol/L for both compounds. The relative standard deviations of intra-day and inter-day were both below 9%, and the relative errors were both within the range of ±4%. The average recoveries were 94.24% for CML and 97.89% for CEL.

CONCLUSION

The results indicate that the developed methodology is fast, highly sensitive, highly specific, reproducible, and suitable for the rapid detection of CML and CEL in clinical human plasma samples. The outcomes of the clinical research project on aging underscored the important indicative significance of these two indicators for research on human aging.

Risk of metastasis and survival in patients undergoing different treatment strategies with T1 colonic neuroendocrine tumors

PURPOSE

The efficacy and safety of local excision (LE) for small (< 1‒2 cm) colonic neuroendocrine tumors (NETs) is controversial due to the higher metastasis risk when compared with rectal NETs. The study aimed to evaluate the metastasis risk of T1 colonic NETs and compare patients' long-term prognosis after LE or radical surgery (RS).

METHODS

The Surveillance Epidemiology and End Results database was used to identify patients with T1 colonic NETs (2004‒2015). Multivariable logistic regression was performed to assess factors associated with metastasis risk. Propensity score matching was used to balance the variables. Cancer-specific survival (CSS) and overall survival (OS) were calculated to estimate the prognosis of patients with T1N0M0 colonic NETs who underwent LE or RS.

RESULTS

Of the 610 patients with colonic NETs, 46 (7.54%) had metastasis at diagnosis. Tumor size (11-20 mm) (OR = 9.51; 95% confidence interval (CI): 4.32‒21.45; P < 0.001), right colon (OR = 15.79; 95% CI 7.20‒38.56; P < 0.001), submucosal infiltration (OR = 2.08; 95% CI 0.84‒5.57; P = 0.125) were independent risk factors associated with metastasis. Of the 515 patients with T1N0M0 colonic NETs, the overall long-term prognosis of LE was as good as that of RS groups (after matching, 5-year CSS: 97.9% vs. 94.6%, P = 0.450; 5-year OS: 92.7% vs. 85.6%, P = 0.009).

CONCLUSION

Tumor size (11‒20 mm) and site (right colon) are associated with metastasis in T1 colonic NETs. In the absence of metastasis, LE could be a viable option for 0‒10 mm T1 colonic NETs with well/moderate differentiation in the left colon in terms of long-term survival.

Deformable lung 4DCT image registration via landmark-driven cycle network

BACKGROUND

An automated, accurate, and efficient lung four-dimensional computed tomography (4DCT) image registration method is clinically important to quantify respiratory motion for optimal motion management.

PURPOSE

The purpose of this work is to develop a weakly supervised deep learning method for 4DCT lung deformable image registration (DIR).

METHODS

The landmark-driven cycle network is proposed as a deep learning platform that performs DIR of individual phase datasets in a simulation 4DCT. This proposed network comprises a generator and a discriminator. The generator accepts moving and target CTs as input and outputs the deformation vector fields (DVFs) to match the two CTs. It is optimized during both forward and backward paths to enhance the bi-directionality of DVF generation. Further, the landmarks are used to weakly supervise the generator network. Landmark-driven loss is used to guide the generator's training. The discriminator then judges the realism of the deformed CT to provide extra DVF regularization.

RESULTS

We performed four-fold cross-validation on 10 4DCT datasets from the public DIR-Lab dataset and a hold-out test on our clinic dataset, which included 50 4DCT datasets. The DIR-Lab dataset was used to evaluate the performance of the proposed method against other methods in the literature by calculating the DIR-Lab Target Registration Error (TRE). The proposed method outperformed other deep learning-based methods on the DIR-Lab datasets in terms of TRE. Bi-directional and landmark-driven loss were shown to be effective for obtaining high registration accuracy. The mean and standard deviation of TRE for the DIR-Lab datasets was 1.20 ± 0.72 mm and the mean absolute error (MAE) and structural similarity index (SSIM) for our datasets were 32.1 ± 11.6 HU and 0.979 ± 0.011, respectively.

CONCLUSION

The landmark-driven cycle network has been validated and tested for automatic deformable image registration of patients' lung 4DCTs with results comparable to or better than competing methods.

Segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black blood magnetic resonance imaging with multi-task learning

BACKGROUND

Atherosclerotic cardiovascular disease is the leading cause of death worldwide. Early detection of carotid atherosclerosis can prevent the progression of cardiovascular disease. Many (semi-) automatic methods have been designed for the segmentation of carotid vessel wall and the diagnosis of carotid atherosclerosis (i.e., the lumen segmentation, the outer wall segmentation, and the carotid atherosclerosis diagnosis) on black blood magnetic resonance imaging (BB-MRI). However, most of these methods ignore the intrinsic correlation among different tasks on BB-MRI, leading to limited performance.

PURPOSE

Thus, we model the intrinsic correlation among the lumen segmentation, the outer wall segmentation, and the carotid atherosclerosis diagnosis tasks on BB-MRI by using the multi-task learning technique and propose a gated multi-task network (GMT-Net) to perform three related tasks in a neural network (i.e., carotid artery lumen segmentation, outer wall segmentation, and carotid atherosclerosis diagnosis).

METHODS

In the proposed method, the GMT-Net is composed of three modules, including the sharing module, the segmentation module, and the diagnosis module, which interact with each other to achieve better learning performance. At the same time, two new adaptive layers, namely, the gated exchange layer and the gated fusion layer, are presented to exchange and merge branch features.

RESULTS

The proposed method is applied to the CAREII dataset (i.e., 1057 scans) for the lumen segmentation, the outer wall segmentation, and the carotid atherosclerosis diagnosis. The proposed method can achieve promising segmentation performances (0.9677 Dice for the lumen and 0.9669 Dice for the outer wall) and better diagnosis accuracy of carotid atherosclerosis (0.9516 AUC and 0.9024 Accuracy) in the "CAREII test" dataset (i.e., 106 scans). The results show that the proposed method has statistically significant accuracy and efficiency.

CONCLUSIONS

Even without the intervention of reviewers required for the previous works, the proposed method automatically segments the lumen and outer wall together and diagnoses carotid atherosclerosis with high performance. The proposed method can be used in clinical trials to help radiologists get rid of tedious reading tasks, such as screening review to separate normal carotid arteries from atherosclerotic arteries and to outline vessel wall contours.

Intraoperative radiation therapy with 50 kV x-rays: A multi-institutional review

This report covers clinical implementation of a low kV intraoperative radiation therapy (IORT) program with the INTRABEAM® System (Carl Zeiss Meditec AG, Jena, Germany). Based on collective user experience from eight institutions, we discuss best methods of INTRABEAM quality assurance (QA) tests, commissioning measurements, clinical workflow, treatment planning, and potential avenues for research. The guide provides pertinent background information and clinical justification for IORT. It describes the INTRABEAM system and commissioning measurements along with a TG100 risk management analysis to ensure safety and accuracy of the IORT program. Following safety checks, dosimetry measurements are performed for verification of field flatness and symmetry, x-ray output, and depth dose. Also discussed are dose linearity checks, beam isotropy, ion chamber measurements, calibration protocols, and in-vivo dosimetry with optically stimulated luminescence dosimeters OSLDs, and radiochromic film. Emphasis is placed on the importance of routine QA procedures (daily, monthly, and annual) performed at regular intervals for a successful IORT program. For safe and accurate dose delivery, tests of important components of IORT clinical workflow are emphasized, such as, dose prescription, pre-treatment QA, treatment setup, safety checks, radiation surveys, and independent checks of delivered dose. Challenges associated with in-vivo dose measurements are discussed, along with special treatment procedures and shielding requirements. The importance of treatment planning in IORT is reviewed with reference to a Monte Carlo-based commercial treatment planning system highlighting its main features and limitations. The report concludes with suggested topics for research including CT-based image-guided treatment planning and improved prescription dose accuracy. We hope that this multi-institutional report will serve as a guidance document on the clinical implementation and use of INTRABEAM IORT.

CBCT-Based synthetic CT image generation using conditional denoising diffusion probabilistic model

BACKGROUND

Daily or weekly cone-beam computed tomography (CBCT) scans are commonly used for accurate patient positioning during the image-guided radiotherapy (IGRT) process, making it an ideal option for adaptive radiotherapy (ART) replanning. However, the presence of severe artifacts and inaccurate Hounsfield unit (HU) values prevent its use for quantitative applications such as organ segmentation and dose calculation. To enable the clinical practice of online ART, it is crucial to obtain CBCT scans with a quality comparable to that of a CT scan.

PURPOSE

This work aims to develop a conditional diffusion model to perform image translation from the CBCT to the CT distribution for the image quality improvement of CBCT.

METHODS

The proposed method is a conditional denoising diffusion probabilistic model (DDPM) that utilizes a time-embedded U-net architecture with residual and attention blocks to gradually transform the white Gaussian noise sample to the target CT distribution conditioned on the CBCT. The model was trained on deformed planning CT (dpCT) and CBCT image pairs, and its feasibility was verified in brain patient study and head-and-neck (H&N) patient study. The performance of the proposed algorithm was evaluated using mean absolute error (MAE), peak signal-to-noise ratio (PSNR) and normalized cross-correlation (NCC) metrics on generated synthetic CT (sCT) samples. The proposed method was also compared to four other diffusion model-based sCT generation methods.

RESULTS

In the brain patient study, the MAE, PSNR, and NCC of the generated sCT were 25.99 HU, 30.49 dB, and 0.99, respectively, compared to 40.63 HU, 27.87 dB, and 0.98 of the CBCT images. In the H&N patient study, the metrics were 32.56 HU, 27.65 dB, 0.98 and 38.99 HU, 27.00, 0.98 for sCT and CBCT, respectively. Compared to the other four diffusion models and one Cycle generative adversarial network (Cycle GAN), the proposed method showed superior results in both visual quality and quantitative analysis.

CONCLUSIONS

The proposed conditional DDPM method can generate sCT from CBCT with accurate HU numbers and reduced artifacts, enabling accurate CBCT-based organ segmentation and dose calculation for online ART.

Robust explanation supervision for false positive reduction in pulmonary nodule detection

BACKGROUND

Lung cancer is the deadliest and second most common cancer in the United States due to the lack of symptoms for early diagnosis. Pulmonary nodules are small abnormal regions that can be potentially correlated to the occurrence of lung cancer. Early detection of these nodules is critical because it can significantly improve the patient's survival rates. Thoracic thin-sliced computed tomography (CT) scanning has emerged as a widely used method for diagnosing and prognosis lung abnormalities.

PURPOSE

The standard clinical workflow of detecting pulmonary nodules relies on radiologists to analyze CT images to assess the risk factors of cancerous nodules. However, this approach can be error-prone due to the various nodule formation causes, such as pollutants and infections. Deep learning (DL) algorithms have recently demonstrated remarkable success in medical image classification and segmentation. As an ever more important assistant to radiologists in nodule detection, it is imperative ensure the DL algorithm and radiologist to better understand the decisions from each other. This study aims to develop a framework integrating explainable AI methods to achieve accurate pulmonary nodule detection.

METHODS

A robust and explainable detection (RXD) framework is proposed, focusing on reducing false positives in pulmonary nodule detection. Its implementation is based on an explanation supervision method, which uses nodule contours of radiologists as supervision signals to force the model to learn nodule morphologies, enabling improved learning ability on small dataset, and enable small dataset learning ability. In addition, two imputation methods are applied to the nodule region annotations to reduce the noise within human annotations and allow the model to have robust attributions that meet human expectations. The 480, 265, and 265 CT image sets from the public Lung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI) dataset are used for training, validation, and testing.

RESULTS

Using only 10, 30, 50, and 100 training samples sequentially, our method constantly improves the classification performance and explanation quality of baseline in terms of Area Under the Curve (AUC) and Intersection over Union (IoU). In particular, our framework with a learnable imputation kernel improves IoU from baseline by 24.0% to 80.0%. A pre-defined Gaussian imputation kernel achieves an even greater improvement, from 38.4% to 118.8% from baseline. Compared to the baseline trained on 100 samples, our method shows less drop in AUC when trained on fewer samples. A comprehensive comparison of interpretability shows that our method aligns better with expert opinions.

CONCLUSIONS

A pulmonary nodule detection framework was demonstrated using public thoracic CT image datasets. The framework integrates the robust explanation supervision (RES) technique to ensure the performance of nodule classification and morphology. The method can reduce the workload of radiologists and enable them to focus on the diagnosis and prognosis of the potential cancerous pulmonary nodules at the early stage to improve the outcomes for lung cancer patients.

SAMHD1 expression contributes to doxorubicin resistance and predicts survival outcomes in diffuse large B-cell lymphoma patients

Diffuse large B-cell lymphoma (DLBCL) is a commonly diagnosed, aggressive non-Hodgkin's lymphoma. While R-CHOP chemoimmunotherapy is potentially curative, about 40% of DLBCL patients will fail, highlighting the need to identify biomarkers to optimize management. SAMHD1 has a dNTPase-independent role in promoting resection to facilitate DNA double-strand break (DSB) repair by homologous recombination. We evaluated the relationship of SAMHD1 levels with sensitivity to DSB-sensitizing agents in DLBCL cells and the association of SAMHD1 expression with clinical outcomes in 79 DLBCL patients treated with definitive therapy and an independent cohort dataset of 234 DLBCL patients. Low SAMHD1 expression, Vpx-mediated, or siRNA-mediated degradation/depletion in DLBCL cells was associated with greater sensitivity to doxorubicin and PARP inhibitors. On Kaplan-Meier log-rank survival analysis, low SAMHD1 expression was associated with improved overall survival (OS), which on subset analysis remained significant only in patients with advanced stage (III-IV) and moderate to high risk (2-5 International Prognostic Index (IPI)). The association of low SAMHD1 expression with improved OS remained significant on multivariate analysis independent of other adverse factors, including IPI, and was validated in an independent cohort. Our findings suggest that SAMHD1 expression mediates doxorubicin resistance and may be an important prognostic biomarker in advanced, higher-risk DLBCL patients.

Altered brain iron deposition in patients with minimal hepatic encephalopathy: an MRI quantitative susceptibility mapping study

AIM

To explore the use of quantitative susceptibility mapping (QSM) in assessing changes in brain iron deposits and their association with cognitive function in patients with minimal hepatic encephalopathy (MHE).

MATERIALS AND METHODS

The study cohort comprised 27 cases with hepatitis B-associated cirrhosis with MHE (MHE group), 25 with hepatitis B-associated cirrhosis without MHE (NMHE group), and 25 healthy controls (HC group). Iron deposits in the bilateral frontal white matter, caudate nucleus (CN), putamen, globus pallidus, thalamus, red nucleus, substantia nigra (SN), hippocampus, and dentate nucleus were measured by QSM. The associations between iron deposition with the time taken to complete number connection tests A (NCT-A) and the score on digital-symbol test (DST) were analysed.

RESULTS

Susceptibility values differed significantly in the bilateral CN, left thalamus, right SN, and left hippocampus in the MHE group compared with the other groups and were positively associated with the times taken to complete the NCT-A in the bilateral CN, left thalamus, and right SN and negatively associated with DST scores in the bilateral CN, left TH, and left HP.

CONCLUSION

Reduced cognitive function in MHE patients was significantly associated with abnormally increased iron deposition in certain brain areas. The quantification of brain iron deposition by QSM may thus be an objective and accurate means of evaluating MHE.

2D Z-scheme ZnIn2S4/g-C3N4 heterojunction based on photoelectrochemical immunosensor with enhanced carrier separation for sensitive detection of CEA

Semiconducting materials based on photoelectrochemical (PEC) sensors have been widely utilized for detection. Meanwhile, the sensitivity of the PEC sensor was limited by low-efficiency carrier separation. Thus, a novel sandwich-type PEC bioimmunosensing based on 2D Z-scheme ZnIn2S4/g-C3N4 heterojunction as a photosensitive material and BiVO4 as a photoquencher was designed for the sensitive detection of carcinoembryonic antigen (CEA). Firstly, the 2D ZnIn2S4/g-C3N4 structure provided a multitude of activated sites which facilitated the loading of the capture antibody (Ab1). Secondly, the Z-scheme heterojunction had a high redox capacity while promoting the rapid separation and migration of photogenerated electron-hole pairs (e-/h+). Thus it was able to consume more electron donors to a certain extent, resulting in a higher initial photocurrent. In addition, BiVO4 with large spatial potential resistance was introduced for the first time to realize signal amplification. BiVO4 could not only compete with substrate materials for electron donors, but also effectively prevent electron donors from contacting the substrate, further reducing the photocurrent signal. Under optimized conditions, the sensor had a favorable detection range (0.0001-100 ng/mL) to CEA and a low detection limit of 0.03 pg/mL. With high specificity, excellent stability, and remarkable reproducibility, this sensor provided a new perspective for constructing accurate and convenient PEC immunosensor for bioanalysis and early disease diagnosisdisease diagnosis.

Protein-rich foods, sea foods, and gut microbiota amplify immune responses in chronic diseases and cancers - Targeting PERK as a novel therapeutic strategy for chronic inflammatory diseases, neurodegenerative disorders, and cancer

The endoplasmic reticulum (ER) is a cellular organelle that is physiologically responsible for protein folding, calcium homeostasis, and lipid biosynthesis. Pathological stimuli such as oxidative stress, ischemia, disruptions in calcium homeostasis, and increased production of normal and/or folding-defective proteins all contribute to the accumulation of misfolded proteins in the ER, causing ER stress. The adaptive response to ER stress is the activation of unfolded protein response (UPR), which affect a wide variety of cellular functions to maintain ER homeostasis or lead to apoptosis. Three different ER transmembrane sensors, including PKR-like ER kinase (PERK), activating transcription factor 6 (ATF6), and inositol-requiring enzyme-1 (IRE1), are responsible for initiating UPR. The UPR involves a variety of signal transduction pathways that reduce unfolded protein accumulation by boosting ER-resident chaperones, limiting protein translation, and accelerating unfolded protein degradation. ER is now acknowledged as a critical organelle in sensing dangers and determining cell life and death. On the other hand, UPR plays a critical role in the development and progression of several diseases such as cardiovascular diseases (CVD), metabolic disorders, chronic kidney diseases, neurological disorders, and cancer. Here, we critically analyze the most current knowledge of the master regulatory roles of ER stress particularly the PERK pathway as a conditional danger receptor, an organelle crosstalk regulator, and a regulator of protein translation. We highlighted that PERK is not only ER stress regulator by sensing UPR and ER stress but also a frontier sensor and direct senses for gut microbiota-generated metabolites. Our work also further highlighted the function of PERK as a central hub that leads to metabolic reprogramming and epigenetic modification which further enhanced inflammatory response and promoted trained immunity. Moreover, we highlighted the contribution of ER stress and PERK in the pathogenesis of several diseases such as cancer, CVD, kidney diseases, and neurodegenerative disorders. Finally, we discuss the therapeutic target of ER stress and PERK for cancer treatment and the potential novel therapeutic targets for CVD, metabolic disorders, and neurodegenerative disorders. Inhibition of ER stress, by the development of small molecules that target the PERK and UPR, represents a promising therapeutic strategy.

AML with RUNX1::RUNX1T1 Cooperating two Mutations Relapsed Quickly after Achieving CR

BACKGROUND

Acute myeloid leukemia (AML) with t(8;21)(q22;q22.1); RUNX1::RUNX1T1 has a relatively favorable prognosis with a high complete remission rate and long disease-free survival.

METHODS AND RESULTS

Here we describe a patient who had AML with t(8;21)(q22;q22.1); RUNX1::RUNX1T1. Cooperating mutations including KRAS and ASXL1, and with other abnormal karyotype del(17) and with a myelomonocytic differentiation.

CONCLUSIONS

The patient relapsed despite achieving a morphologic complete remission (CR).

Analysis of clinical data of different endometrial pathological types in perimenopausal women with abnormal uterine bleeding

Objective

Early detection and diagnosis are important for improving the therapeutic effect and quality of life in patients with endometrial cancer (EC). This study aimed to analyze the clinical data of different endometrial pathological types in perimenopausal women with abnormal uterine bleeding (AUB) in order to provide evidence for the prevention and early diagnosis of EC.

Methods

A total of 462 perimenopausal women with AUB were enrolled in this prospective observational study. Endometrial biopsy was performed in patients with suspected endometrial lesions. According to the pathological examination results, the patients were divided into endometrial polyp group (EP) (n = 71), endometrial hyperplasia without atypia group (EH) (n = 59), atypical endometrial hyperplasia (AEH) (n = 36), and EC group (n = 27). The history risk factors and ultrasonic imaging characteristics of endometrium among the four groups were compared.

Results

Twenty-seven women were diagnosed with EC (5.84%). The prevalence rate of AEH and EC in the group of 51- to 55-year-old women was significantly higher than that in the groups of 40- to 45-year-old women and of 46- to 50-year-old women (P < 0.05). The age, body mass index, and history of diabetes gradually increased with the development of endometrial pathological types. In addition, the correlation index of endometrial blood flow increased gradually, and the proportion of uneven endometrial echo, unclear endometrial-myometrial junction (EMJ), and ovarian cyst also increased gradually. However, no statistically significant difference was found when comparing endometrial thickness (ET) and endometrial volume (EV) among endometrial pathological groups (P > 0.05). The ET, EV, endometrial vascularization index, endometrial flow index, and vascularization flow index in the ovarian cyst group were significantly higher (P < 0.05), and the proportion of uneven endometrium echo and unclear EMJ were significantly higher compared with that in the non-ovarian cyst group (P < 0.05).

Conclusions

The most common cause of perimenopausal women with AUB was benign endometrial lesions. However, women aged 51-55 years old with endometrial high risk factors and ovarian cyst should be alert to AEH and EC. Endometrial biopsy needs to be performed to determine endometrial malignancy in necessity.

[Analysis of ultrasound images features and diagnostic model establishment of alveolar soft part sarcoma and intramuscular capillary-type hemangiomas]

Objective: The ultrasonography features of alveolar soft part sarcoma (ASPS) and intramuscular capillary-type hemangiomas (ICTH) were analyzed, and the diagnostic model of ASPS was established. Methods: A cross-sectional study was carried out. The clinical data of 52 patients [28 males and 24 females, aged (20.7±15.1) years] with pathologically confirmed ASPS and ICTH admitted to People's Hospital of Henan Province from January 2005 to February 2023 were included in the study. According to pathological types, the patients were divided into ASPS group and ICTH group. Clinical data of patients were retrospectively collected, and meaningful indicators in the univariate analysis were included in the regression analysis for screening. After comprehensive consideration of clinical significance and statistical significance, eligible indicators were selected for inclusion in the regression analysis. Binary logistic regression analysis was used to screen the factors that distinguished the pathological types of ASPS and ICTH, and the diagnostic model was established. The area under receiver operating characteristic (ROC) curve (AUC) was used to evaluate the diagnostic effectiveness of the diagnostic model in distinguishing ASPS from ICTH. Results: There were 20 patients in ASPS group, 10 males and 10 females, aged (26.9±13.5) years, and 32 patients in ICTH group, 18 males and 14 females, aged (16.8±15.0) years. The age difference between the ASPS group and the ICTH group was statistically significant (P<0.05), and there were statistically significant differences in the ultrasound imaging features of "clear boundary" "peripheral lobe" "thin blood vessels inside the lesion are straight and out of shape" "intra-lesion liquification" "peripheral thick blood vessels" and "peripheral muscle fiber disruption" between the two groups (all P<0.001).Variables with clinical and statistical significance were selected as independent variables. Binary logistic regression analysis showed that peripheral muscle fiber interruption (OR=97.358, 95%CI:6.833-1 387.249) and internal thin blood vessels were flat and out of shape (OR=0.052, 95%CI:0.003-0.921) was the correlation factor to distinguish the pathological types of ASPS and ICTH. Two ultrasonic image features of "peripheral muscle fiber interruption" and "internal thin blood vessels are straight and out of shape" were used to establish the diagnostic model. The sensitivity of "peripheral muscle fiber interruption" diagnostic model was 81.3%, and the specificity was 95.0%. The AUC was 0.811(95%CI: 0.761-0.954). The sensitivity, specificity and AUC of the diagnosis model of "internal thin vessels with flat misshape" were 90.0%, 96.9% and 0.934(95%CI: 0.830-0.984). The sensitivity, specificity and AUC of the combined diagnosis model of "peripheral muscle fiber interruption" and "internal thin blood vessel straight out of shape" were 96.9%, 90.0% and 0.974(95%CI:0.877-0.999). Conclusion: Ultrasonography can be used to distinguish ASPS from ICTH, and the combined diagnostic model based on the two ultrasonic imaging features of "peripheral muscle fiber interruption" and "internal thin blood vessel straight out of shape" can further improve the diagnostic efficiency.