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Montella A, Tranfa M, Scaravilli A, Barkhof F, Brunetti A, Cole J, Gravina M, Marrone S, Riccio D, Riccio E, Sansone C, Spinelli L, Petracca M, Pisani A, Cocozza S, Pontillo G. Assessing brain involvement in Fabry disease with deep learning and the brain-age paradigm. Hum Brain Mapp 2024; 45:e26599. [PMID: 38520360 PMCID: PMC10960551 DOI: 10.1002/hbm.26599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 12/23/2023] [Accepted: 01/07/2024] [Indexed: 03/25/2024] Open
Abstract
While neurological manifestations are core features of Fabry disease (FD), quantitative neuroimaging biomarkers allowing to measure brain involvement are lacking. We used deep learning and the brain-age paradigm to assess whether FD patients' brains appear older than normal and to validate brain-predicted age difference (brain-PAD) as a possible disease severity biomarker. MRI scans of FD patients and healthy controls (HCs) from a single Institution were, retrospectively, studied. The Fabry stabilization index (FASTEX) was recorded as a measure of disease severity. Using minimally preprocessed 3D T1-weighted brain scans of healthy subjects from eight publicly available sources (N = 2160; mean age = 33 years [range 4-86]), we trained a model predicting chronological age based on a DenseNet architecture and used it to generate brain-age predictions in the internal cohort. Within a linear modeling framework, brain-PAD was tested for age/sex-adjusted associations with diagnostic group (FD vs. HC), FASTEX score, and both global and voxel-level neuroimaging measures. We studied 52 FD patients (40.6 ± 12.6 years; 28F) and 58 HC (38.4 ± 13.4 years; 28F). The brain-age model achieved accurate out-of-sample performance (mean absolute error = 4.01 years, R2 = .90). FD patients had significantly higher brain-PAD than HC (estimated marginal means: 3.1 vs. -0.1, p = .01). Brain-PAD was associated with FASTEX score (B = 0.10, p = .02), brain parenchymal fraction (B = -153.50, p = .001), white matter hyperintensities load (B = 0.85, p = .01), and tissue volume reduction throughout the brain. We demonstrated that FD patients' brains appear older than normal. Brain-PAD correlates with FD-related multi-organ damage and is influenced by both global brain volume and white matter hyperintensities, offering a comprehensive biomarker of (neurological) disease severity.
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Affiliation(s)
- Alfredo Montella
- Department of Advanced Biomedical SciencesUniversity “Federico II”NaplesItaly
| | - Mario Tranfa
- Department of Advanced Biomedical SciencesUniversity “Federico II”NaplesItaly
| | | | - Frederik Barkhof
- NMR Research Unit, Queen Square MS Centre, Department of NeuroinflammationUCL Institute of NeurologyLondonUK
- Department of Radiology and Nuclear MedicineMS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Centre for Medical Image ComputingUniversity College LondonLondonUK
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Arturo Brunetti
- Department of Advanced Biomedical SciencesUniversity “Federico II”NaplesItaly
| | - James Cole
- Centre for Medical Image ComputingUniversity College LondonLondonUK
- Dementia Research CentreUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Michela Gravina
- Department of Electrical Engineering and Information Technology (DIETI)University “Federico II”NaplesItaly
| | - Stefano Marrone
- Department of Electrical Engineering and Information Technology (DIETI)University “Federico II”NaplesItaly
| | - Daniele Riccio
- Department of Electrical Engineering and Information Technology (DIETI)University “Federico II”NaplesItaly
| | - Eleonora Riccio
- Department of Public Health, Nephrology UnitUniversity “Federico II”NaplesItaly
| | - Carlo Sansone
- Department of Electrical Engineering and Information Technology (DIETI)University “Federico II”NaplesItaly
| | - Letizia Spinelli
- Department of Advanced Biomedical SciencesUniversity “Federico II”NaplesItaly
| | - Maria Petracca
- Department of Neurosciences and Reproductive and Odontostomatological SciencesUniversity “Federico II”NaplesItaly
- Department of Human NeurosciencesSapienza University of RomeRomeItaly
| | - Antonio Pisani
- Department of Public Health, Nephrology UnitUniversity “Federico II”NaplesItaly
| | - Sirio Cocozza
- Department of Advanced Biomedical SciencesUniversity “Federico II”NaplesItaly
| | - Giuseppe Pontillo
- Department of Advanced Biomedical SciencesUniversity “Federico II”NaplesItaly
- NMR Research Unit, Queen Square MS Centre, Department of NeuroinflammationUCL Institute of NeurologyLondonUK
- Department of Radiology and Nuclear MedicineMS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Department of Electrical Engineering and Information Technology (DIETI)University “Federico II”NaplesItaly
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Nasim MQ, Patwardhan N, Maiti T, Marrone S, Singh T. VeerNet: Using Deep Neural Networks for Curve Classification and Digitization of Raster Well-Log Images. J Imaging 2023; 9:136. [PMID: 37504813 PMCID: PMC10381386 DOI: 10.3390/jimaging9070136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 06/02/2023] [Accepted: 06/06/2023] [Indexed: 07/29/2023] Open
Abstract
Raster logs are scanned representations of the analog data recorded in subsurface drilling. Geologists rely on these images to interpret well-log curves and deduce the physical properties of geological formations. Scanned images contain various artifacts, including hand-written texts, brightness variability, scan defects, etc. The manual effort involved in reading the data is substantial. To mitigate this, unsupervised computer vision techniques are employed to extract and interpret the curves digitally. Existing algorithms predominantly require manual intervention, resulting in slow processing times, and are erroneous. This research aims to address these challenges by proposing VeerNet, a deep neural network architecture designed to semantically segment the raster images from the background grid to classify and digitize (i.e., extracting the analytic formulation of the written curve) the well-log data. The proposed approach is based on a modified UNet-inspired architecture leveraging an attention-augmented read-process-write strategy to balance retaining key signals while dealing with the different input-output sizes. The reported results show that the proposed architecture efficiently classifies and digitizes the curves with an overall F1 score of 35% and Intersection over Union of 30%, achieving 97% recall and 0.11 Mean Absolute Error when compared with real data on binary segmentation of multiple curves. Finally, we analyzed VeerNet's ability in predicting Gamma-ray values, achieving a Pearson coefficient score of 0.62 when compared to measured data.
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Affiliation(s)
- M Quamer Nasim
- Deepkapha AI Research, Street Vaart ZZ n° 1.d, 9401 GE Assen, The Netherlands
- Department of Geology and Geophysics, Indian Institute of Technology, Kharagpur 721302, India
| | - Narendra Patwardhan
- Deepkapha AI Research, Street Vaart ZZ n° 1.d, 9401 GE Assen, The Netherlands
- Department of Electrical Engineering and Information Technologies (DIETI), University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
| | - Tannistha Maiti
- Deepkapha AI Research, Street Vaart ZZ n° 1.d, 9401 GE Assen, The Netherlands
| | - Stefano Marrone
- Department of Electrical Engineering and Information Technologies (DIETI), University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
| | - Tarry Singh
- Deepkapha AI Research, Street Vaart ZZ n° 1.d, 9401 GE Assen, The Netherlands
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Galli A, Gravina M, Marrone S, Mattiello D, Sansone C. Adversarial liveness detector: Leveraging adversarial perturbations in fingerprint liveness detection. IET BIOMETRICS 2023. [DOI: 10.1049/bme2.12106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2023] Open
Affiliation(s)
- Antonio Galli
- Department of Electrical and Information Technology (DIETI) University of Naples Federico II Naples Italy
| | - Michela Gravina
- Department of Electrical and Information Technology (DIETI) University of Naples Federico II Naples Italy
| | - Stefano Marrone
- Department of Electrical and Information Technology (DIETI) University of Naples Federico II Naples Italy
| | - Domenico Mattiello
- Department of Electrical and Information Technology (DIETI) University of Naples Federico II Naples Italy
| | - Carlo Sansone
- Department of Electrical and Information Technology (DIETI) University of Naples Federico II Naples Italy
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Pascarella AE, Giacco G, Rigiroli M, Marrone S, Sansone C. ReUse: REgressive Unet for Carbon Storage and Above-Ground Biomass Estimation. J Imaging 2023; 9:jimaging9030061. [PMID: 36976112 PMCID: PMC10054486 DOI: 10.3390/jimaging9030061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 02/17/2023] [Accepted: 03/03/2023] [Indexed: 03/11/2023] Open
Abstract
The United Nations Framework Convention on Climate Change (UNFCCC) has recently established the Reducing Emissions from Deforestation and forest Degradation (REDD+) program, which requires countries to report their carbon emissions and sink estimates through national greenhouse gas inventories (NGHGI). Thus, developing automatic systems capable of estimating the carbon absorbed by forests without in situ observation becomes essential. To support this critical need, in this work, we introduce ReUse, a simple but effective deep learning approach to estimate the carbon absorbed by forest areas based on remote sensing. The proposed method’s novelty is in using the public above-ground biomass (AGB) data from the European Space Agency’s Climate Change Initiative Biomass project as ground truth to estimate the carbon sequestration capacity of any portion of land on Earth using Sentinel-2 images and a pixel-wise regressive UNet. The approach has been compared with two literature proposals using a private dataset and human-engineered features. The results show a more remarkable generalization ability of the proposed approach, with a decrease in Mean Absolute Error and Root Mean Square Error over the runner-up of 16.9 and 14.3 in the area of Vietnam, 4.7 and 5.1 in the area of Myanmar, 8.0 and 1.4 in the area of Central Europe, respectively. As a case study, we also report an analysis made for the Astroni area, a World Wildlife Fund (WWF) natural reserve struck by a large fire, producing predictions consistent with values found by experts in the field after in situ investigations. These results further support the use of such an approach for the early detection of AGB variations in urban and rural areas.
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Affiliation(s)
- Antonio Elia Pascarella
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
| | - Giovanni Giacco
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
- Latitudo 40, Via Emanuele Gianturco 31/c, 80146 Naples, Italy
| | - Mattia Rigiroli
- Latitudo 40, Via Emanuele Gianturco 31/c, 80146 Naples, Italy
| | - Stefano Marrone
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
- Correspondence:
| | - Carlo Sansone
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
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Raimondo M, Bernardi S, Marrone S, Merseguer J. An approach for the automatic verification of blockchain protocols: the Tweetchain case study. J Comput Virol Hack Tech 2022. [DOI: 10.1007/s11416-022-00444-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Abstract
AbstractThis paper proposes a model-driven approach for the security modelling and analysis of blockchain based protocols. The modelling is built upon the definition of a UML profile, which is able to capture transaction-oriented information. The analysis is based on existing formal analysis tools. In particular, the paper considers the Tweetchain protocol, a recent proposal that leverages online social networks, i.e., Twitter, for extending blockchain to domains with small-value transactions, such as IoT. A specialized textual notation is added to the UML profile to capture features of this protocol. Furthermore, a model transformation is defined to generate a Tamarin model, from the UML models, via an intermediate well-known notation, i.e., the Alice &Bob notation. Finally, Tamarin Prover is used to verify the model of the protocol against some security properties. This work extends a previous one, where the Tamarin formal models were generated by hand. A comparison on the analysis results, both under the functional and non-functional aspects, is reported here too.
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Creţu AM, Monti F, Marrone S, Dong X, Bronstein M, de Montjoye YA. Interaction data are identifiable even across long periods of time. Nat Commun 2022; 13:313. [PMID: 35078995 PMCID: PMC8789822 DOI: 10.1038/s41467-021-27714-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Accepted: 11/29/2021] [Indexed: 11/09/2022] Open
Abstract
AbstractFine-grained records of people’s interactions, both offline and online, are collected at large scale. These data contain sensitive information about whom we meet, talk to, and when. We demonstrate here how people’s interaction behavior is stable over long periods of time and can be used to identify individuals in anonymous datasets. Our attack learns the profile of an individual using geometric deep learning and triplet loss optimization. In a mobile phone metadata dataset of more than 40k people, it correctly identifies 52% of individuals based on their 2-hop interaction graph. We further show that the profiles learned by our method are stable over time and that 24% of people are still identifiable after 20 weeks. Our results suggest that people with well-balanced interaction graphs are more identifiable. Applying our attack to Bluetooth close-proximity networks, we show that even 1-hop interaction graphs are enough to identify people more than 26% of the time. Our results provide strong evidence that disconnected and even re-pseudonymized interaction data can be linked together making them personal data under the European Union’s General Data Protection Regulation.
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Pontillo G, Penna S, Cocozza S, Quarantelli M, Gravina M, Lanzillo R, Marrone S, Costabile T, Inglese M, Morra VB, Riccio D, Elefante A, Petracca M, Sansone C, Brunetti A. Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approach. Eur Radiol 2022; 32:5382-5391. [PMID: 35284989 PMCID: PMC9279232 DOI: 10.1007/s00330-022-08610-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 12/30/2021] [Accepted: 01/23/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVES To stratify patients with multiple sclerosis (pwMS) based on brain MRI-derived volumetric features using unsupervised machine learning. METHODS The 3-T brain MRIs of relapsing-remitting pwMS including 3D-T1w and FLAIR-T2w sequences were retrospectively collected, along with Expanded Disability Status Scale (EDSS) scores and long-term (10 ± 2 years) clinical outcomes (EDSS, cognition, and progressive course). From the MRIs, volumes of demyelinating lesions and 116 atlas-defined gray matter regions were automatically segmented and expressed as z-scores referenced to external populations. Following feature selection, baseline MRI-derived biomarkers entered the Subtype and Stage Inference (SuStaIn) algorithm, which estimates subgroups characterized by distinct patterns of biomarker evolution and stages within subgroups. The trained model was then applied to longitudinal MRIs. Stability of subtypes and stage change over time were assessed via Krippendorf's α and multilevel linear regression models, respectively. The prognostic relevance of SuStaIn classification was assessed with ordinal/logistic regression analyses. RESULTS We selected 425 pwMS (35.9 ± 9.9 years; F/M: 301/124), corresponding to 1129 MRI scans, along with healthy controls (N = 148; 35.9 ± 13.0 years; F/M: 77/71) and external pwMS (N = 80; 40.4 ± 11.9 years; F/M: 56/24) as reference populations. Based on 11 biomarkers surviving feature selection, two subtypes were identified, designated as "deep gray matter (DGM)-first" subtype (N = 238) and "cortex-first" subtype (N = 187) according to the atrophy pattern. Subtypes were consistent over time (α = 0.806), with significant annual stage increase (b = 0.20; p < 0.001). EDSS was associated with stage and DGM-first subtype (p ≤ 0.02). Baseline stage predicted long-term disability, transition to progressive course, and cognitive impairment (p ≤ 0.03), with the latter also associated with DGM-first subtype (p = 0.005). CONCLUSIONS Unsupervised learning modelling of brain MRI-derived volumetric features provides a biologically reliable and prognostically meaningful stratification of pwMS. KEY POINTS • The unsupervised modelling of brain MRI-derived volumetric features can provide a single-visit stratification of multiple sclerosis patients. • The so-obtained classification tends to be consistent over time and captures disease-related brain damage progression, supporting the biological reliability of the model. • Baseline stratification predicts long-term clinical disability, cognition, and transition to secondary progressive course.
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Affiliation(s)
- Giuseppe Pontillo
- grid.4691.a0000 0001 0790 385XDepartment of Advanced Biomedical Sciences, University “Federico II”, Via Pansini 5, 80131 Naples, Italy ,grid.4691.a0000 0001 0790 385XDepartment of Electrical Engineering and Information Technology (DIETI), University “Federico II”, Naples, Italy
| | - Simone Penna
- grid.4691.a0000 0001 0790 385XDepartment of Electrical Engineering and Information Technology (DIETI), University “Federico II”, Naples, Italy
| | - Sirio Cocozza
- grid.4691.a0000 0001 0790 385XDepartment of Advanced Biomedical Sciences, University “Federico II”, Via Pansini 5, 80131 Naples, Italy
| | - Mario Quarantelli
- grid.5326.20000 0001 1940 4177Institute of Biostructure and Bioimaging, National Research Council, Naples, Italy
| | - Michela Gravina
- grid.4691.a0000 0001 0790 385XDepartment of Electrical Engineering and Information Technology (DIETI), University “Federico II”, Naples, Italy
| | - Roberta Lanzillo
- grid.4691.a0000 0001 0790 385XDepartment of Neurosciences and Reproductive and Odontostomatological Sciences, University “Federico II”, Naples, Italy
| | - Stefano Marrone
- grid.4691.a0000 0001 0790 385XDepartment of Electrical Engineering and Information Technology (DIETI), University “Federico II”, Naples, Italy
| | - Teresa Costabile
- Multiple Sclerosis Centre, II Division of Neurology, Department of Clinical and Experimental Medicine, “Luigi Vanvitelli” University, Naples, Italy
| | - Matilde Inglese
- grid.5606.50000 0001 2151 3065Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy ,grid.410345.70000 0004 1756 7871Ospedale Policlinico San Martino IRCCS, Genoa, Italy
| | - Vincenzo Brescia Morra
- grid.4691.a0000 0001 0790 385XDepartment of Neurosciences and Reproductive and Odontostomatological Sciences, University “Federico II”, Naples, Italy
| | - Daniele Riccio
- grid.4691.a0000 0001 0790 385XDepartment of Electrical Engineering and Information Technology (DIETI), University “Federico II”, Naples, Italy
| | - Andrea Elefante
- grid.4691.a0000 0001 0790 385XDepartment of Advanced Biomedical Sciences, University “Federico II”, Via Pansini 5, 80131 Naples, Italy
| | - Maria Petracca
- grid.4691.a0000 0001 0790 385XDepartment of Neurosciences and Reproductive and Odontostomatological Sciences, University “Federico II”, Naples, Italy
| | - Carlo Sansone
- grid.4691.a0000 0001 0790 385XDepartment of Electrical Engineering and Information Technology (DIETI), University “Federico II”, Naples, Italy
| | - Arturo Brunetti
- grid.4691.a0000 0001 0790 385XDepartment of Advanced Biomedical Sciences, University “Federico II”, Via Pansini 5, 80131 Naples, Italy
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Galli A, Marrone S, Piantadosi G, Sansone M, Sansone C. A Pipelined Tracer-Aware Approach for Lesion Segmentation in Breast DCE-MRI. J Imaging 2021; 7:jimaging7120276. [PMID: 34940743 PMCID: PMC8703956 DOI: 10.3390/jimaging7120276] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 12/09/2021] [Accepted: 12/10/2021] [Indexed: 11/16/2022] Open
Abstract
The recent spread of Deep Learning (DL) in medical imaging is pushing researchers to explore its suitability for lesion segmentation in Dynamic Contrast-Enhanced Magnetic-Resonance Imaging (DCE-MRI), a complementary imaging procedure increasingly used in breast-cancer analysis. Despite some promising proposed solutions, we argue that a "naive" use of DL may have limited effectiveness as the presence of a contrast agent results in the acquisition of multimodal 4D images requiring thorough processing before training a DL model. We thus propose a pipelined approach where each stage is intended to deal with or to leverage a peculiar characteristic of breast DCE-MRI data: the use of a breast-masking pre-processing to remove non-breast tissues; the use of Three-Time-Points (3TP) slices to effectively highlight contrast agent time course; the application of a motion-correction technique to deal with patient involuntary movements; the leverage of a modified U-Net architecture tailored on the problem; and the introduction of a new "Eras/Epochs" training strategy to handle the unbalanced dataset while performing a strong data augmentation. We compared our pipelined solution against some literature works. The results show that our approach outperforms the competitors by a large margin (+9.13% over our previous solution) while also showing a higher generalization ability.
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Affiliation(s)
- Antonio Galli
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy; (A.G.); (M.S.); (C.S.)
| | - Stefano Marrone
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy; (A.G.); (M.S.); (C.S.)
- Correspondence:
| | - Gabriele Piantadosi
- Altran Italia S.p.A., Centro Direzionale, Via Giovanni Porzio, 4, 80143 Naples, Italy;
| | - Mario Sansone
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy; (A.G.); (M.S.); (C.S.)
| | - Carlo Sansone
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy; (A.G.); (M.S.); (C.S.)
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Marrone S, Sansone C. On the transferability of adversarial perturbation attacks against fingerprint based authentication systems. Pattern Recognit Lett 2021. [DOI: 10.1016/j.patrec.2021.10.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Gravina M, Marrone S, Sansone M, Sansone C. DAE-CNN: Exploiting and disentangling contrast agent effects for breast lesions classification in DCE-MRI. Pattern Recognit Lett 2021. [DOI: 10.1016/j.patrec.2021.01.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Marrone S, Bellini E, Marulli F. On managing security in smart e-health applications. IJCSE 2021. [DOI: 10.1504/ijcse.2021.10043726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Marulli F, Bellini E, Marrone S. On managing security in smart e-health applications. IJCSE 2021. [DOI: 10.1504/ijcse.2021.119989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Elhalawani H, Lin TA, Volpe S, Mohamed ASR, White AL, Zafereo J, Wong AJ, Berends JE, AboHashem S, Williams B, Aymard JM, Kanwar A, Perni S, Rock CD, Cooksey L, Campbell S, Yang P, Nguyen K, Ger RB, Cardenas CE, Fave XJ, Sansone C, Piantadosi G, Marrone S, Liu R, Huang C, Yu K, Li T, Yu Y, Zhang Y, Zhu H, Morris JS, Baladandayuthapani V, Shumway JW, Ghosh A, Pöhlmann A, Phoulady HA, Goyal V, Canahuate G, Marai GE, Vock D, Lai SY, Mackin DS, Court LE, Freymann J, Farahani K, Kaplathy-Cramer J, Fuller CD. Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges. Front Oncol 2018; 8:294. [PMID: 30175071 PMCID: PMC6107800 DOI: 10.3389/fonc.2018.00294] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Accepted: 07/16/2018] [Indexed: 12/13/2022] Open
Abstract
Radiomics leverages existing image datasets to provide non-visible data extraction via image post-processing, with the aim of identifying prognostic, and predictive imaging features at a sub-region of interest level. However, the application of radiomics is hampered by several challenges such as lack of image acquisition/analysis method standardization, impeding generalizability. As of yet, radiomics remains intriguing, but not clinically validated. We aimed to test the feasibility of a non-custom-constructed platform for disseminating existing large, standardized databases across institutions for promoting radiomics studies. Hence, University of Texas MD Anderson Cancer Center organized two public radiomics challenges in head and neck radiation oncology domain. This was done in conjunction with MICCAI 2016 satellite symposium using Kaggle-in-Class, a machine-learning and predictive analytics platform. We drew on clinical data matched to radiomics data derived from diagnostic contrast-enhanced computed tomography (CECT) images in a dataset of 315 patients with oropharyngeal cancer. Contestants were tasked to develop models for (i) classifying patients according to their human papillomavirus status, or (ii) predicting local tumor recurrence, following radiotherapy. Data were split into training, and test sets. Seventeen teams from various professional domains participated in one or both of the challenges. This review paper was based on the contestants' feedback; provided by 8 contestants only (47%). Six contestants (75%) incorporated extracted radiomics features into their predictive model building, either alone (n = 5; 62.5%), as was the case with the winner of the "HPV" challenge, or in conjunction with matched clinical attributes (n = 2; 25%). Only 23% of contestants, notably, including the winner of the "local recurrence" challenge, built their model relying solely on clinical data. In addition to the value of the integration of machine learning into clinical decision-making, our experience sheds light on challenges in sharing and directing existing datasets toward clinical applications of radiomics, including hyper-dimensionality of the clinical/imaging data attributes. Our experience may help guide researchers to create a framework for sharing and reuse of already published data that we believe will ultimately accelerate the pace of clinical applications of radiomics; both in challenge or clinical settings.
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Affiliation(s)
- Hesham Elhalawani
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Timothy A. Lin
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- Baylor College of Medicine, Houston, TX, United States
| | - Stefania Volpe
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- Università degli Studi di Milano, Milan, Italy
| | - Abdallah S. R. Mohamed
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- Department of Clinical Oncology and Nuclear Medicine, Alexandria University, Alexandria, Egypt
| | - Aubrey L. White
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- McGovern Medical School, University of Texas, Houston, TX, United States
| | - James Zafereo
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- McGovern Medical School, University of Texas, Houston, TX, United States
| | - Andrew J. Wong
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- School of Medicine, The University of Texas Health Science Center San Antonio, San Antonio, TX, United States
| | - Joel E. Berends
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- School of Medicine, The University of Texas Health Science Center San Antonio, San Antonio, TX, United States
| | - Shady AboHashem
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- Department of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Bowman Williams
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- Furman University, Greenville, SC, United States
| | - Jeremy M. Aymard
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- Abilene Christian University, Abilene, TX, United States
| | - Aasheesh Kanwar
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- Department of Radiation Oncology, Oregon Health and Science University, Portland, OR, United States
| | - Subha Perni
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Crosby D. Rock
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- Texas Tech University Health Sciences Center El Paso, El Paso, TX, United States
| | - Luke Cooksey
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Shauna Campbell
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- Department of Radiation Oncology, Cleveland Clinic, Cleveland, OH, United States
| | - Pei Yang
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- Baylor College of Medicine, Houston, TX, United States
| | - Khahn Nguyen
- Colgate University, Hamilton City, CA, United States
| | - Rachel B. Ger
- Graduate School of Biomedical Sciences, MD Anderson Cancer Center, Houston, TX, United States
- Department of Radiation Physics, Graduate School of Biomedical Sciences, MD Anderson Cancer Center, Houston, TX, United States
| | - Carlos E. Cardenas
- Graduate School of Biomedical Sciences, MD Anderson Cancer Center, Houston, TX, United States
- Department of Radiation Physics, Graduate School of Biomedical Sciences, MD Anderson Cancer Center, Houston, TX, United States
| | - Xenia J. Fave
- Moores Cancer Center, University of California, La Jolla, San Diego, CA, United States
| | - Carlo Sansone
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione, Università Degli Studi di Napoli Federico II, Naples, Italy
| | - Gabriele Piantadosi
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione, Università Degli Studi di Napoli Federico II, Naples, Italy
| | - Stefano Marrone
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione, Università Degli Studi di Napoli Federico II, Naples, Italy
| | - Rongjie Liu
- Baylor College of Medicine, Houston, TX, United States
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Chao Huang
- Baylor College of Medicine, Houston, TX, United States
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Kaixian Yu
- Baylor College of Medicine, Houston, TX, United States
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Tengfei Li
- Baylor College of Medicine, Houston, TX, United States
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Yang Yu
- Baylor College of Medicine, Houston, TX, United States
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Youyi Zhang
- Baylor College of Medicine, Houston, TX, United States
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Hongtu Zhu
- Baylor College of Medicine, Houston, TX, United States
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Jeffrey S. Morris
- Baylor College of Medicine, Houston, TX, United States
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Veerabhadran Baladandayuthapani
- Baylor College of Medicine, Houston, TX, United States
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - John W. Shumway
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Alakonanda Ghosh
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Andrei Pöhlmann
- Fraunhofer-Institut für Fabrikbetrieb und Automatisierung (IFF), Magdeburg, Germany
| | - Hady A. Phoulady
- Department of Computer Science, University of Southern Maine, Portland, OR, United States
| | - Vibhas Goyal
- Indian Institute of Technology Hyderabad, Sangareddy, India
| | | | | | - David Vock
- Department of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, United States
| | - Stephen Y. Lai
- Department of Head and Neck Surgery, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Dennis S. Mackin
- Colgate University, Hamilton City, CA, United States
- Department of Radiation Physics, Graduate School of Biomedical Sciences, MD Anderson Cancer Center, Houston, TX, United States
| | - Laurence E. Court
- Colgate University, Hamilton City, CA, United States
- Department of Radiation Physics, Graduate School of Biomedical Sciences, MD Anderson Cancer Center, Houston, TX, United States
| | - John Freymann
- Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD, United States
| | - Keyvan Farahani
- National Cancer Institute, Rockville, MD, United States
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medicine, Baltimore, MD, United States
| | - Jayashree Kaplathy-Cramer
- Department of Radiology and Athinoula A. Martinos Center for Biomedical Imaging, MGH/Harvard Medical School, Boston, MA, United States
| | - Clifton D. Fuller
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
- Baylor College of Medicine, Houston, TX, United States
- Department of Radiation Physics, Graduate School of Biomedical Sciences, MD Anderson Cancer Center, Houston, TX, United States
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Camsonne A, Katramatou AT, Olson M, Acha A, Allada K, Anderson BD, Arrington J, Baldwin A, Chen JP, Choi S, Chudakov E, Cisbani E, Craver B, Decowski P, Dutta C, Folts E, Frullani S, Garibaldi F, Gilman R, Gomez J, Hahn B, Hansen JO, Higinbotham DW, Holmstrom T, Huang J, Iodice M, Jiang X, Kelleher A, Khrosinkova E, Kievsky A, Kuchina E, Kumbartzki G, Lee B, LeRose JJ, Lindgren RA, Lott G, Lu H, Marcucci LE, Margaziotis DJ, Markowitz P, Marrone S, Meekins D, Meziani ZE, Michaels R, Moffit B, Norum B, Petratos GG, Puckett A, Qian X, Rondon O, Saha A, Sawatzky B, Segal J, Shabestari M, Shahinyan A, Solvignon P, Sparveris N, Subedi RR, Suleiman R, Sulkosky V, Urciuoli GM, Viviani M, Wang Y, Wojtsekhowski BB, Yan X, Yao H, Zhang WM, Zheng X, Zhu L. Publisher's Note: JLab Measurements of the ^{3}He Form Factors at Large Momentum Transfers [Phys. Rev. Lett. 119, 162501 (2017)]. Phys Rev Lett 2017; 119:209901. [PMID: 29219338 DOI: 10.1103/physrevlett.119.209901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Indexed: 06/07/2023]
Abstract
This corrects the article DOI: 10.1103/PhysRevLett.119.162501.
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Camsonne A, Katramatou AT, Olson M, Acha A, Allada K, Anderson BD, Arrington J, Baldwin A, Chen JP, Choi S, Chudakov E, Cisbani E, Craver B, Decowski P, Dutta C, Folts E, Frullani S, Garibaldi F, Gilman R, Gomez J, Hahn B, Hansen JO, Higinbotham DW, Holmstrom T, Huang J, Iodice M, Jiang X, Kelleher A, Khrosinkova E, Kievsky A, Kuchina E, Kumbartzki G, Lee B, LeRose JJ, Lindgren RA, Lott G, Lu H, Marcucci LE, Margaziotis DJ, Markowitz P, Marrone S, Meekins D, Meziani ZE, Michaels R, Moffit B, Norum B, Petratos GG, Puckett A, Qian X, Rondon O, Saha A, Sawatzky B, Segal J, Shabestari M, Shahinyan A, Solvignon P, Sparveris N, Subedi RR, Suleiman R, Sulkosky V, Urciuoli GM, Viviani M, Wang Y, Wojtsekhowski BB, Yan X, Yao H, Zhang WM, Zheng X, Zhu L. JLab Measurements of the ^{3}He Form Factors at Large Momentum Transfers. Phys Rev Lett 2017; 119:162501. [PMID: 29099223 DOI: 10.1103/physrevlett.119.162501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Indexed: 06/07/2023]
Abstract
The charge and magnetic form factors, F_{C} and F_{M}, respectively, of ^{3}He are extracted in the kinematic range 25 fm^{-2}≤Q^{2}≤61 fm^{-2} from elastic electron scattering by detecting ^{3}He recoil nuclei and scattered electrons in coincidence with the two High Resolution Spectrometers of the Hall A Facility at Jefferson Lab. The measurements find evidence for the existence of a second diffraction minimum for the magnetic form factor at Q^{2}=49.3 fm^{-2} and for the charge form factor at Q^{2}=62.0 fm^{-2}. Both minima are predicted to exist in the Q^{2} range accessible by this Jefferson Lab experiment. The data are in qualitative agreement with theoretical calculations based on realistic interactions and accurate methods to solve the three-body nuclear problem.
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Affiliation(s)
- A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - M Olson
- St. Norbert College, De Pere, Wisconsin 54115, USA
| | - A Acha
- Florida International University, Miami, Florida 33199, USA
| | - K Allada
- University of Kentucky, Lexington, Kentucky 40506, USA
| | | | - J Arrington
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - A Baldwin
- Kent State University, Kent, Ohio 44242, USA
| | - J-P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Choi
- Seoul National University, Seoul 151-747, Korea
| | - E Chudakov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Cisbani
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma, 00185 Rome, Italy
- Istituto Superiore di Sanità, 00161 Rome, Italy
| | - B Craver
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - P Decowski
- Smith College, Northampton, Massachusetts 01063, USA
| | - C Dutta
- University of Kentucky, Lexington, Kentucky 40506, USA
| | - E Folts
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Frullani
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma, 00185 Rome, Italy
- Istituto Superiore di Sanità, 00161 Rome, Italy
| | - F Garibaldi
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma, 00185 Rome, Italy
- Istituto Superiore di Sanità, 00161 Rome, Italy
| | - R Gilman
- Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Gomez
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Hahn
- College of William and Mary, Williamsburg, Virginia 23185, USA
| | - J-O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D W Higinbotham
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Holmstrom
- Longwood University, Farmville, Virginia 23909, USA
| | - J Huang
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - M Iodice
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma Tre, 00146 Rome, Italy
| | - X Jiang
- Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
| | - A Kelleher
- College of William and Mary, Williamsburg, Virginia 23185, USA
| | | | - A Kievsky
- Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, 56127 Pisa, Italy
| | - E Kuchina
- Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
| | - G Kumbartzki
- Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
| | - B Lee
- Seoul National University, Seoul 151-747, Korea
| | - J J LeRose
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R A Lindgren
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - G Lott
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Lu
- University of Science and Technology of China, Hefei, Anhui 230026, People's Republic of China
| | - L E Marcucci
- Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, 56127 Pisa, Italy
- University of Pisa, 56127 Pisa, Italy
| | - D J Margaziotis
- California State University, Los Angeles, California 90032, USA
| | - P Markowitz
- Florida International University, Miami, Florida 33199, USA
| | - S Marrone
- Istituto Nazionale di Fisica Nucleare, Sezione di Bari and University of Bari, 70126 Bari, Italy
| | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Z-E Meziani
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Moffit
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - B Norum
- University of Virginia, Charlottesville, Virginia 22904, USA
| | | | - A Puckett
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - X Qian
- Duke University (TUNL), Durham, North Carolina 27708, USA
| | - O Rondon
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - A Saha
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Sawatzky
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - J Segal
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Shabestari
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - A Shahinyan
- Yerevan Physics Institute, Yerevan 375036, Armenia
| | - P Solvignon
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - N Sparveris
- Kent State University, Kent, Ohio 44242, USA
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R R Subedi
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - R Suleiman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Sulkosky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - G M Urciuoli
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma, 00185 Rome, Italy
| | - M Viviani
- Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, 56127 Pisa, Italy
| | - Y Wang
- University of Illinois at Urbana Champagne, Urbana, Illinois 61801, USA
| | - B B Wojtsekhowski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - X Yan
- Seoul National University, Seoul 151-747, Korea
| | - H Yao
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - W-M Zhang
- Kent State University, Kent, Ohio 44242, USA
| | - X Zheng
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - L Zhu
- University of Illinois at Urbana Champagne, Urbana, Illinois 61801, USA
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Dupont E, Otuka N, Cabellos O, Aberle O, Aerts G, Altstadt S, Alvarez H, Alvarez-Velarde F, Andriamonje S, Andrzejewski J, Audouin L, Bacak M, Badurek G, Balibrea J, Barbagallo M, Barros S, Baumann P, Bécares V, Bečvář F, Beinrucker C, Belloni F, Berthier B, Berthoumieux E, Billowes J, Boccone V, Bosnar D, Brown A, Brugger M, Caamaño M, Calviani M, Calviño F, Cano-Ott D, Capote R, Cardella R, Carrapiço C, Casanovas A, Castelluccio D, Cennini P, Cerutti F, Chen Y, Chiaveri E, Chin M, Colonna N, Cortés G, Cortés-Giraldo M, Cosentino L, Couture A, Cox J, Damone L, David S, Deo K, Diakaki M, Dillmann I, Domingo-Pardo C, Dressler R, Dridi W, Duran I, Eleftheriadis C, Embid-Segura M, Fernández-Domínguez B, Ferrant L, Ferrari A, Ferreira P, Finocchiaro P, Fraval K, Frost R, Fujii K, Furman W, Ganesan S, Garcia A, Gawlik A, Gheorghe I, Gilardoni S, Giubrone G, Glodariu T, Göbel K, Gomez-Hornillos M, Goncalves I, Gonzalez-Romero E, Goverdovski A, Gramegna F, Griesmayer E, Guerrero C, Gunsing F, Gurusamy P, Haight R, Harada H, Heftrich T, Heil M, Heinitz S, Hernández-Prieto A, Heyse J, Igashira M, Isaev S, Jenkins D, Jericha E, Kadi Y, Kaeppeler F, Kalamara A, Karadimos D, Karamanis D, Katabuchi T, Kavrigin P, Kerveno M, Ketlerov V, Khryachkov V, Kimura A, Kivel N, Kokkoris M, Konovalov V, Krtička M, Kroll J, Kurtulgil D, Lampoudis C, Langer C, Leal-Cidoncha E, Lederer C, Leeb H, Naour CL, Lerendegui-Marco J, Leong L, Licata M, Meo SL, Lonsdale S, Losito R, Lozano M, Macina D, Manousos A, Marganiec J, Martinez T, Marrone S, Masi A, Massimi C, Mastinu P, Mastromarco M, Matteucci F, Maugeri E, Mazzone A, Mendoza E, Mengoni A, Milazzo P, Mingrone F, Mirea M, Mondelaers W, Montesano S, Moreau C, Mosconi M, Musumarra A, Negret A, Nolte R, O’Brien S, Oprea A, Palomo-Pinto F, Pancin J, Paradela C, Patronis N, Pavlik A, Pavlopoulos P, Perkowski J, Perrot L, Pigni M, Plag R, Plompen A, Plukis L, Poch A, Porras I, Praena J, Pretel C, Quesada J, Radeck D, Rajeev K, Rauscher T, Reifarth R, Riego A, Robles M, Roman F, Rout P, Rudolf G, Rubbia C, Rullhusen P, Ryan J, Sabaté-Gilarte M, Salgado J, Santos C, Sarchiapone L, Sarmento R, Saxena A, Schillebeeckx P, Schmidt S, Schumann D, Sedyshev P, Smith A, Sosnin N, Stamatopoulos A, Stephan C, Suryanarayana S, Tagliente G, Tain J, Tarifeño-Saldivia A, Tarrío D, Tassan-Got L, Tavora L, Terlizzi R, Tsinganis A, Valenta S, Vannini G, Variale V, Vaz P, Ventura A, Versaci R, Vermeulen M, Villamarin D, Vicente M, Vlachoudis V, Vlastou R, Voss F, Wallner A, Walter S, Ware T, Warren S, Weigand M, Weiß C, Wolf C, Wiesher M, Wisshak K, Woods P, Wright T, Žugec P. Dissemination of data measured at the CERN n_TOF facility. EPJ Web Conf 2017. [DOI: 10.1051/epjconf/201714607002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Gentile U, Bernardi S, Marrone S, Merseguer J, Vittorini V. A model driven approach for assessing survivability requirements of critical infrastructures. JHS 2017. [DOI: 10.3233/jhs-170564] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Ugo Gentile
- DIETI, Università degli Studi di Napoli “Federico II”, Napoli, Italy
- Engineering Department CERN, CH-1211. Geneva 23, Switzerland
| | - Simona Bernardi
- DMF, Università della Campania “Luigi Vanvitelli”, Caserta, Italy
| | | | | | - Valeria Vittorini
- DIETI, Università degli Studi di Napoli “Federico II”, Napoli, Italy
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Diakaki M, Audouin L, Berthoumieux E, Calviani M, Colonna N, Dupont E, Duran I, Gunsing F, Leal-Cidoncha E, Le Naour C, Leong L, Mastromarco M, Paradela C, Tarrio D, Tassan-Got L, Aerts G, Altstadt S, Alvarez H, Alvarez-Velarde F, Andriamonje S, Andrzejewski J, Badurek G, Barbagallo M, Baumann P, Becares V, Becvar F, Belloni F, Berthier B, Billowes J, Boccone V, Bosnar D, Brugger M, Calvino F, Cano-Ott D, Capote R, Carrapiço C, Cennini P, Cerutti F, Chiaveri E, Chin M, Cortes G, Cortes-Giraldo M, Cosentino L, Couture A, Cox J, David S, Dillmann I, Domingo-Pardo C, Dressler R, Dridi W, Eleftheriadis C, Embid-Segura M, Ferrant L, Ferrari A, Finocchiaro P, Fraval K, Fujii K, Furman W, Ganesan S, Garcia A, Giubrone G, Gomez-Hornillos M, Goncalves I, Gonzalez-Romero E, Goverdovski A, Gramegna F, Griesmayer E, Guerrero C, Gurusamy P, Haight R, Heil M, Heinitz S, Igashira M, Isaev S, Jenkins D, Jericha E, Kadi Y, Kaeppeler F, Karadimos D, Karamanis D, Kerveno M, Ketlerov V, Kivel N, Kokkoris M, Konovalov V, Krticka M, Kroll J, Lampoudis C, Langer C, Lederer C, Leeb H, Lo Meo S, Losito R, Lozano M, Manousos A, Marganiec J, Martinez T, Marrone S, Massimi C, Mastinu P, Mendoza E, Mengoni A, Milazzo P, Mingrone F, Mirea M, Mondelaers W, Moreau C, Mosconi M, Musumarra A, O’Brien S, Pancin J, Patronis N, Pavlik A, Pavlopoulos P, Perkowski J, Perrot L, Pigni M, Plag R, Plompen A, Plukis L, Poch A, Pretel C, Praena J, Quesada J, Rauscher T, Reifarth R, Riego A, Roman F, Rudolf G, Rubbia C, Rullhusen P, Salgado J, Santos C, Sarchiapone L, Sarmento R, Saxena A, Schillebeeckx P, Schmidt S, Schumann D, Stephan C, Tagliente G, Tain J, Tavora L, Terlizzi R, Tsinganis A, Valenta S, Vannini G, Variale V, Vaz P, Ventura A, Versaci R, Vermeulen M, Villamarin D, Vincente M, Vlachoudis V, Vlastou R, Voss F, Wallner A, Walter S, Ware T, Weigand M, Weiß C, Wiesher M, Wisshak K, Wright T, Zugec P. Towards the high-accuracy determination of the238U fission cross section at the threshold region at CERN – n_TOF. EPJ Web of Conferences 2016. [DOI: 10.1051/epjconf/201611102002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Paradela C, Duran I, Tassan-Got L, Audouin L, Berthier B, Isaev S, Le Naour C, Stephan C, Tarrío D, Abbondanno U, Aerts G, Álvarez-Pol H, Álvarez-Velarde F, Andriamonje S, Andrzejewski J, Badurek G, Baumann P, Becvar F, Berthoumieux E, Calviño F, Calviani M, Cano-Ott D, Capote R, Carrapiço C, Cennini P, Chepel V, Chiaveri E, Colonna N, Cortes G, Couture A, Cox J, Dahlfors M, David S, Dillmann I, Domingo-Pardo C, Dridi W, Eleftheriadis C, Embid-Segura M, Ferrant L, Ferrari A, Ferreira-Marques R, Fujii K, Furman W, Gonçalves I, Gonzalez-Romero E, Goverdovski A, Gramegna F, Guerrero C, Gunsing F, Haight R, Heil M, Igashira M, Jericha E, Kadi Y, Kaeppeler F, Karadimos D, Kerveno M, Ketlerov V, Koehler P, Konovalov V, Krticka M, Lampoudis C, Lederer C, Leeb H, Lindote A, Lukic S, Marganiec J, Martinez T, Marrone S, Massimi C, Mastinu P, Mengoni A, Milazzo P, Moreau C, Mosconi M, Pancin SJ, Pavlik A, Pavlopoulos P, Perrot L, Plag R, Plompen A, Plukis A, Poch A, Pretel C, Praena J, Quesada J, Rauscher T, Reifarth R, Rubbia C, Rudolf G, Rullhusen P, Salgado J, Santos C, Sarchiapone L, Savvidis I, Tagliente G, Tain J, Tavora L, Terlizzi R, Vaz P, Ventura A, Villamarin D, Vincente M, Vlachoudis V, Vlastou R, Voss F, Walter S, Weiss C, Wiesher M, Wisshak K. High accuracy235U(n,f) data in the resonance energy region. EPJ Web of Conferences 2016. [DOI: 10.1051/epjconf/201611102003] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Piantadosi G, Marrone S, Sansone M, Sansone C. A secure, scalable and versatile multi-layer client–server architecture for remote intelligent data processing. ACTA ACUST UNITED AC 2015. [DOI: 10.1007/s40860-015-0007-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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23
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Chirapatpimol K, Shabestari MH, Lindgren RA, Smith LC, Annand JRM, Higinbotham DW, Moffit B, Nelyubin V, Norum BE, Allada K, Aniol K, Ardashev K, Armstrong DS, Arndt RA, Benmokhtar F, Bernstein AM, Bertozzi W, Briscoe WJ, Bimbot L, Camsonne A, Chen JP, Choi S, Chudakov E, Cisbani E, Cusanno F, Dalton MM, Dutta C, Egiyan K, Fernàndez-Ramìrez C, Feuerbach R, Fissum KG, Frullani S, Garibaldi F, Gayou O, Gilman R, Gilad S, Goity J, Gomez J, Hahn B, Hamilton D, Hansen JO, Huang J, Igarashi R, Ireland D, de Jager CW, Jin X, Jiang X, Jinasundera T, Kellie J, Keppel CE, Kolb N, LeRose J, Liyanage N, Livingston K, McNulty D, Mercado L, Michaels R, Mihovilovič M, Qian S, Qian X, Mailyan S, Mamyan V, Marrone S, Monaghan P, Nanda S, Perdrisat CF, Piasetzky E, Protopopescu D, Punjabi V, Qiang Y, Rachek IA, Rakhman A, Riordan S, Ron G, Rosner G, Saha A, Sawatzky B, Shahinyan A, Širca S, Sparveris N, Subedi RR, Suleiman R, Strakovsky I, Sulkosky V, Moinelo J, Voskanyan H, Wang K, Wang Y, Watson J, Watts D, Wojtsekhowski B, Workman RL, Yao H, Zhan X, Zhang Y. Precision Measurement of the p(e,e^{'}p)π^{0} Reaction at Threshold. Phys Rev Lett 2015; 114:192503. [PMID: 26024167 DOI: 10.1103/physrevlett.114.192503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2015] [Indexed: 06/04/2023]
Abstract
New results are reported from a measurement of π^{0} electroproduction near threshold using the p(e,e^{'}p)π^{0} reaction. The experiment was designed to determine precisely the energy dependence of s- and p-wave electromagnetic multipoles as a stringent test of the predictions of chiral perturbation theory (ChPT). The data were taken with an electron beam energy of 1192 MeV using a two-spectrometer setup in Hall A at Jefferson Lab. For the first time, complete coverage of the ϕ_{π}^{*} and θ_{π}^{*} angles in the pπ^{0} center of mass was obtained for invariant energies above threshold from 0.5 up to 15 MeV. The 4-momentum transfer Q^{2} coverage ranges from 0.05 to 0.155 (GeV/c)^{2} in fine steps. A simple phenomenological analysis of our data shows strong disagreement with p-wave predictions from ChPT for Q^{2}>0.07 (GeV/c)^{2}, while the s-wave predictions are in reasonable agreement.
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Affiliation(s)
- K Chirapatpimol
- University of Virginia, Charlottesville, Virginia 22904, USA
- Chiang Mai University, Chiang Mai, Thailand 50200
| | - M H Shabestari
- University of Virginia, Charlottesville, Virginia 22904, USA
- Mississipi State University, Starkville, Mississippi 39762, USA
| | - R A Lindgren
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - L C Smith
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - J R M Annand
- University of Glasgow, Glasgow, G12 8QQ Scotland, United Kingdom
| | - D W Higinbotham
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Moffit
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Nelyubin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - B E Norum
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - K Allada
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - K Aniol
- California State University, Los Angeles, Los Angeles, California 90032, USA
| | - K Ardashev
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - D S Armstrong
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - R A Arndt
- The George Washington University, Washington, D.C. 20052, USA
| | - F Benmokhtar
- Duquesne University, Pittsburgh, Pennsylvania 15282, USA
| | - A M Bernstein
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - W Bertozzi
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - W J Briscoe
- The George Washington University, Washington, D.C. 20052, USA
| | - L Bimbot
- Institut de Physique Nucleaire, F-91406 Orsay Cedex, France
| | - A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J-P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Choi
- Seoul National University, Seoul 151-747, Korea
| | - E Chudakov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Cisbani
- Istituto Nazionale di Fisica Nucleare, Sezione Sanità, I-00161 Rome, Italy
| | - F Cusanno
- Istituto Nazionale di Fisica Nucleare, Sezione Sanità, I-00161 Rome, Italy
| | - M M Dalton
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Dutta
- University of Kentucky, Lexington, Kentucky 40506, USA
| | - K Egiyan
- Yerevan Physics Institute, Yerevan, 0036 Armenia
| | - C Fernàndez-Ramìrez
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Feuerbach
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K G Fissum
- University of Lund, Box 118, SE-221 00 Lund, Sweden
| | - S Frullani
- Istituto Nazionale di Fisica Nucleare, Sezione Sanità, I-00161 Rome, Italy
| | - F Garibaldi
- Istituto Nazionale di Fisica Nucleare, Sezione Sanità, I-00161 Rome, Italy
| | - O Gayou
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - R Gilman
- Rutgers University, New Brunswick, New Jersey 08903, USA
| | - S Gilad
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - J Goity
- Hampton University, Hampton, Virginia 23668, USA
| | - J Gomez
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Hahn
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - D Hamilton
- University of Glasgow, Glasgow, G12 8QQ Scotland, United Kingdom
| | - J-O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Huang
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - R Igarashi
- University of Saskatchewan, Saskatoon, Canada S7N 0W0
| | - D Ireland
- University of Glasgow, Glasgow, G12 8QQ Scotland, United Kingdom
| | - C W de Jager
- University of Virginia, Charlottesville, Virginia 22904, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - X Jin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - X Jiang
- Rutgers University, New Brunswick, New Jersey 08903, USA
| | - T Jinasundera
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - J Kellie
- University of Glasgow, Glasgow, G12 8QQ Scotland, United Kingdom
| | - C E Keppel
- Hampton University, Hampton, Virginia 23668, USA
| | - N Kolb
- University of Saskatchewan, Saskatoon, Canada S7N 0W0
| | - J LeRose
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - N Liyanage
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - K Livingston
- University of Glasgow, Glasgow, G12 8QQ Scotland, United Kingdom
| | - D McNulty
- University of Massachusetts, Amherst, Massachusetts 01003, USA
- Idaho State University, Pocatello, Idaho, 83209, USA
| | - L Mercado
- University of Massachusetts, Amherst, Massachusetts 01003, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - S Qian
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - X Qian
- Duke University, Durham, North Carolina 27708, USA
| | - S Mailyan
- Yerevan Physics Institute, Yerevan, 0036 Armenia
| | - V Mamyan
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - S Marrone
- Istituto Nazionale di Fisica Nucleare, Sezione Sanità, I-00161 Rome, Italy
| | - P Monaghan
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Nanda
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C F Perdrisat
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | | | - D Protopopescu
- University of Glasgow, Glasgow, G12 8QQ Scotland, United Kingdom
| | - V Punjabi
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - Y Qiang
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - I A Rachek
- Budker Institute, 630090 Novosibirsk, Russia
| | - A Rakhman
- Syracuse University, Syracuse, New York 13244, USA
| | - S Riordan
- University of Massachusetts, Amherst, Massachusetts 01003, USA
- Stony Brook University, Stony Brook, New York 11794, USA
| | - G Ron
- Lawrence Berkeley National Lab, Berkeley, California 94720, USA
- Racah Institute of Physics, Hebrew University of Jerusalem, Jerusalem, Israel 91904
| | - G Rosner
- University of Glasgow, Glasgow, G12 8QQ Scotland, United Kingdom
| | - A Saha
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Sawatzky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Temple University, Philadelphia, PA 19122 USA
| | - A Shahinyan
- Yerevan Physics Institute, Yerevan, 0036 Armenia
| | - S Širca
- Jožef Stefan Institute, SI-1000 Ljubljana, Slovenia
- University of Ljubljana, 1000 Ljubljana, Slovenia
| | - N Sparveris
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
- Temple University, Philadelphia, PA 19122 USA
| | - R R Subedi
- Kent State University, Kent, Ohio 44242, USA
| | - R Suleiman
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - I Strakovsky
- The George Washington University, Washington, D.C. 20052, USA
| | - V Sulkosky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - J Moinelo
- Universidad Complutense de Madrid, Madrid 98040, Spain
| | - H Voskanyan
- Yerevan Physics Institute, Yerevan, 0036 Armenia
| | - K Wang
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - Y Wang
- Rutgers University, New Brunswick, New Jersey 08903, USA
| | - J Watson
- Kent State University, Kent, Ohio 44242, USA
| | - D Watts
- University of Edinburgh, Edinburgh, EH8 9YL Scotland, United Kingdom
| | - B Wojtsekhowski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R L Workman
- The George Washington University, Washington, D.C. 20052, USA
| | - H Yao
- Temple University, Philadelphia, PA 19122 USA
| | - X Zhan
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Y Zhang
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
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24
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Katich J, Qian X, Zhao YX, Allada K, Aniol K, Annand JRM, Averett T, Benmokhtar F, Bertozzi W, Bradshaw PC, Bosted P, Camsonne A, Canan M, Cates GD, Chen C, Chen JP, Chen W, Chirapatpimol K, Chudakov E, Cisbani E, Cornejo JC, Cusanno F, Dalton MM, Deconinck W, de Jager CW, De Leo R, Deng X, Deur A, Ding H, Dolph PAM, Dutta C, Dutta D, El Fassi L, Frullani S, Gao H, Garibaldi F, Gaskell D, Gilad S, Gilman R, Glamazdin O, Golge S, Guo L, Hamilton D, Hansen O, Higinbotham DW, Holmstrom T, Huang J, Huang M, Ibrahim HF, Iodice M, Jiang X, Jin G, Jones MK, Kelleher A, Kim W, Kolarkar A, Korsch W, LeRose JJ, Li X, Li Y, Lindgren R, Liyanage N, Long E, Lu HJ, Margaziotis DJ, Markowitz P, Marrone S, McNulty D, Meziani ZE, Michaels R, Moffit B, Muñoz Camacho C, Nanda S, Narayan A, Nelyubin V, Norum B, Oh Y, Osipenko M, Parno D, Peng JC, Phillips SK, Posik M, Puckett AJR, Qiang Y, Rakhman A, Ransome RD, Riordan S, Saha A, Sawatzky B, Schulte E, Shahinyan A, Shabestari MH, Širca S, Stepanyan S, Subedi R, Sulkosky V, Tang LG, Tobias A, Urciuoli GM, Vilardi I, Wang K, Wang Y, Wojtsekhowski B, Yan X, Yao H, Ye Y, Ye Z, Yuan L, Zhan X, Zhang Y, Zhang YW, Zhao B, Zheng X, Zhu L, Zhu X, Zong X. Measurement of the target-normal single-spin asymmetry in deep-inelastic scattering from the reaction (3)He(↑)(e,e')X. Phys Rev Lett 2014; 113:022502. [PMID: 25062169 DOI: 10.1103/physrevlett.113.022502] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2013] [Indexed: 06/03/2023]
Abstract
We report the first measurement of the target-normal single-spin asymmetry in deep-inelastic scattering from the inclusive reaction 3)He(↑)(e,e')X on a polarized (3)He gas target. Assuming time-reversal invariance, this asymmetry is strictly zero in the Born approximation but can be nonzero if two-photon-exchange contributions are included. The experiment, conducted at Jefferson Lab using a 5.89 GeV electron beam, covers a range of 1.7<W<2.9 GeV, 1.0<Q(2)<4.0 GeV(2) and 0.16<x<0.65. Neutron asymmetries were extracted using the effective nucleon polarization and measured proton-to-(3)He cross-section ratios. The measured neutron asymmetries are negative with an average value of (-1.09±0.38)×10(-2) for invariant mass W>2 GeV, which is nonzero at the 2.89σ level. Our measured asymmetry agrees both in sign and magnitude with a two-photon-exchange model prediction that uses input from the Sivers transverse momentum distribution obtained from semi-inclusive deep-inelastic scattering.
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Affiliation(s)
- J Katich
- College of William and Mary, Williamsburg, Virginia 23187, USA and University of Colorado, Boulder, Colorado 80309, USA
| | - X Qian
- Duke University, Durham, North Carolina 27708, USA and Kellogg Radiation Laboratory, California Institute of Technology, Pasadena, California 91125, USA and Brookhaven National Laboratory, Upton, New York 11973, USA
| | - Y X Zhao
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K Allada
- University of Kentucky, Lexington, Kentucky 40506, USA
| | - K Aniol
- California State University, Los Angeles, Los Angeles, California 90032, USA
| | - J R M Annand
- University of Glasgow, Glasgow G12 8QQ, Scotland, United Kingdom
| | - T Averett
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - F Benmokhtar
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - W Bertozzi
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - P C Bradshaw
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - P Bosted
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Canan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - G D Cates
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - C Chen
- Hampton University, Hampton, Virginia 23187, USA
| | - J-P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W Chen
- Duke University, Durham, North Carolina 27708, USA
| | - K Chirapatpimol
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - E Chudakov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Cisbani
- INFN, Sezione di Roma, I-00161 Rome, Italy and Istituto Superiore di Sanità, I-00161 Rome, Italy
| | - J C Cornejo
- California State University, Los Angeles, Los Angeles, California 90032, USA
| | - F Cusanno
- INFN, Sezione di Roma, I-00161 Rome, Italy and Istituto Superiore di Sanità, I-00161 Rome, Italy
| | - M M Dalton
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - W Deconinck
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - C W de Jager
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and University of Virginia, Charlottesville, Virginia 22904, USA
| | - R De Leo
- INFN, Sezione di Bari and University of Bari, I-70126 Bari, Italy
| | - X Deng
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Ding
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - P A M Dolph
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - C Dutta
- University of Kentucky, Lexington, Kentucky 40506, USA
| | - D Dutta
- Mississippi State University, Mississippi State, Minnesota 39762, USA
| | - L El Fassi
- Old Dominion University, Norfolk, Virginia 23529, USA and Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
| | - S Frullani
- INFN, Sezione di Roma, I-00161 Rome, Italy and Istituto Superiore di Sanità, I-00161 Rome, Italy
| | - H Gao
- Duke University, Durham, North Carolina 27708, USA
| | - F Garibaldi
- INFN, Sezione di Roma, I-00161 Rome, Italy and Istituto Superiore di Sanità, I-00161 Rome, Italy
| | - D Gaskell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Gilad
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - R Gilman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
| | - O Glamazdin
- Kharkov Institute of Physics and Technology, Kharkov 61108, Ukraine
| | - S Golge
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - L Guo
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - D Hamilton
- University of Glasgow, Glasgow G12 8QQ, Scotland, United Kingdom
| | - O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D W Higinbotham
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Holmstrom
- Longwood University, Farmville, Virginia 23909, USA
| | - J Huang
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - M Huang
- Duke University, Durham, North Carolina 27708, USA
| | | | - M Iodice
- INFN, Sezione di Roma3, I-00146 Rome, Italy
| | - X Jiang
- Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA and Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - G Jin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - M K Jones
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Kelleher
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - W Kim
- Kyungpook National University, Taegu 702-701, Republic of Korea
| | - A Kolarkar
- University of Kentucky, Lexington, Kentucky 40506, USA
| | - W Korsch
- University of Kentucky, Lexington, Kentucky 40506, USA
| | - J J LeRose
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - X Li
- China Institute of Atomic Energy, Beijing, People's Republic of China
| | - Y Li
- China Institute of Atomic Energy, Beijing, People's Republic of China
| | - R Lindgren
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - N Liyanage
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - E Long
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - H-J Lu
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - D J Margaziotis
- California State University, Los Angeles, Los Angeles, California 90032, USA
| | - P Markowitz
- Florida International University, Miami, Florida 33199, USA
| | - S Marrone
- INFN, Sezione di Bari and University of Bari, I-70126 Bari, Italy
| | - D McNulty
- University of Massachusetts, Amherst, Massachusetts 01003, USA
| | - Z-E Meziani
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Moffit
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - S Nanda
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Narayan
- Mississippi State University, Mississippi State, Minnesota 39762, USA
| | - V Nelyubin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - B Norum
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - Y Oh
- Seoul National University, Seoul, 151-747, Republic of Korea
| | - M Osipenko
- INFN, Sezione di Genova, I-16146 Genova, Italy
| | - D Parno
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - J C Peng
- University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - S K Phillips
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - A J R Puckett
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA and Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - Y Qiang
- Duke University, Durham, North Carolina 27708, USA and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Rakhman
- Syracuse University, Syracuse, New York 13244, USA
| | - R D Ransome
- Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
| | - S Riordan
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - A Saha
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Sawatzky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and Temple University, Philadelphia, Pennsylvania 19122, USA
| | - E Schulte
- Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
| | - A Shahinyan
- Yerevan Physics Institute, Yerevan 375036, Armenia
| | - M H Shabestari
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - S Širca
- University of Ljubljana, SI-1000 Ljubljana, Slovenia
| | - S Stepanyan
- Kyungpook National University, Daegu 702-701, Republic of Korea
| | - R Subedi
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - V Sulkosky
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L-G Tang
- Hampton University, Hampton, Virginia 23187, USA
| | - A Tobias
- University of Virginia, Charlottesville, Virginia 22904, USA
| | | | - I Vilardi
- INFN, Sezione di Bari and University of Bari, I-70126 Bari, Italy
| | - K Wang
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - Y Wang
- University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - B Wojtsekhowski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - X Yan
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Yao
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - Y Ye
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Z Ye
- Hampton University, Hampton, Virginia 23187, USA
| | - L Yuan
- Hampton University, Hampton, Virginia 23187, USA
| | - X Zhan
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Y Zhang
- Lanzhou University, Lanzhou 730000, Gansu, People's Republic of China
| | - Y-W Zhang
- Lanzhou University, Lanzhou 730000, Gansu, People's Republic of China
| | - B Zhao
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - X Zheng
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - L Zhu
- Hampton University, Hampton, Virginia 23187, USA and University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - X Zhu
- Duke University, Durham, North Carolina 27708, USA
| | - X Zong
- Duke University, Durham, North Carolina 27708, USA
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25
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Camsonne A, Katramatou AT, Olson M, Sparveris N, Acha A, Allada K, Anderson BD, Arrington J, Baldwin A, Chen JP, Choi S, Chudakov E, Cisbani E, Craver B, Decowski P, Dutta C, Folts E, Frullani S, Garibaldi F, Gilman R, Gomez J, Hahn B, Hansen JO, Higinbotham DW, Holmstrom T, Huang J, Iodice M, Jiang X, Kelleher A, Khrosinkova E, Kievsky A, Kuchina E, Kumbartzki G, Lee B, LeRose JJ, Lindgren RA, Lott G, Lu H, Marcucci LE, Margaziotis DJ, Markowitz P, Marrone S, Meekins D, Meziani ZE, Michaels R, Moffit B, Norum B, Petratos GG, Puckett A, Qian X, Rondon O, Saha A, Sawatzky B, Segal J, Shabestari M, Shahinyan A, Solvignon P, Subedi RR, Suleiman R, Sulkosky V, Urciuoli GM, Viviani M, Wang Y, Wojtsekhowski BB, Yan X, Yao H, Zhang WM, Zheng X, Zhu L. JLab measurement of the 4He charge form factor at large momentum transfers. Phys Rev Lett 2014; 112:132503. [PMID: 24745410 DOI: 10.1103/physrevlett.112.132503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2013] [Indexed: 06/03/2023]
Abstract
The charge form factor of 4He has been extracted in the range 29 fm(-2) ≤ Q2 ≤ 77 fm(-2) from elastic electron scattering, detecting 4He recoil nuclei and electrons in coincidence with the high resolution spectrometers of the Hall A Facility of Jefferson Lab. The measurements have uncovered a second diffraction minimum for the form factor, which was predicted in the Q2 range of this experiment. The data are in qualitative agreement with theoretical calculations based on realistic interactions and accurate methods to solve the few-body problem.
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Affiliation(s)
- A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - M Olson
- St. Norbert College, De Pere, Wisconsin 54115, USA
| | - N Sparveris
- Kent State University, Kent, Ohio 44242, USA and Temple University, Philadelphia, Pennsylvania 19122, USA
| | - A Acha
- Florida International University, Miami, Florida 33199, USA
| | - K Allada
- University of Kentucky, Lexington, Kentucky 40506, USA
| | | | - J Arrington
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - A Baldwin
- Kent State University, Kent, Ohio 44242, USA
| | - J-P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Choi
- Seoul National University, Seoul 151-747, Korea
| | - E Chudakov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Cisbani
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma, 00185 Rome, Italy and Istituto Superiore di Sanitá, 00161 Rome, Italy
| | - B Craver
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - P Decowski
- Smith College, Northampton, Massachusetts 01063, USA
| | - C Dutta
- University of Kentucky, Lexington, Kentucky 40506, USA
| | - E Folts
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Frullani
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma, 00185 Rome, Italy and Istituto Superiore di Sanitá, 00161 Rome, Italy
| | - F Garibaldi
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma, 00185 Rome, Italy and Istituto Superiore di Sanitá, 00161 Rome, Italy
| | - R Gilman
- Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Gomez
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Hahn
- College of William and Mary, Williamsburg, Virginia 23185, USA
| | - J-O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D W Higinbotham
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Holmstrom
- Longwood University, Farmville, Virginia 23909, USA
| | - J Huang
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - M Iodice
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma Tre, 00146 Rome, Italy
| | - X Jiang
- Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
| | - A Kelleher
- College of William and Mary, Williamsburg, Virginia 23185, USA
| | | | - A Kievsky
- Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, 56127 Pisa, Italy
| | - E Kuchina
- Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
| | - G Kumbartzki
- Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA
| | - B Lee
- Seoul National University, Seoul 151-747, Korea
| | - J J LeRose
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R A Lindgren
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - G Lott
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Lu
- University of Science and Technology of China, Hefei, Anhui 230026, People's Republic of China
| | - L E Marcucci
- Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, 56127 Pisa, Italy and University of Pisa, 56127 Pisa, Italy
| | - D J Margaziotis
- California State University, Los Angeles, California 90032, USA
| | - P Markowitz
- Florida International University, Miami, Florida 33199, USA
| | - S Marrone
- Istituto Nazionale di Fisica Nucleare, Sezione di Bari and University of Bari, 70126 Bari, Italy
| | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Z-E Meziani
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Moffit
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - B Norum
- University of Virginia, Charlottesville, Virginia 22901, USA
| | | | - A Puckett
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - X Qian
- Duke University (TUNL), Durham, North Carolina 27708, USA
| | - O Rondon
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - A Saha
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Sawatzky
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - J Segal
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Shabestari
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - A Shahinyan
- Yerevan Physics Institute, Yerevan 375036, Armenia
| | - P Solvignon
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - R R Subedi
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - R Suleiman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Sulkosky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - G M Urciuoli
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma, 00185 Rome, Italy
| | - M Viviani
- Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, 56127 Pisa, Italy
| | - Y Wang
- University of Illinois at Urbana Champagne, Urbana, Illinois 61801, USA
| | - B B Wojtsekhowski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - X Yan
- Seoul National University, Seoul 151-747, Korea
| | - H Yao
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - W-M Zhang
- Kent State University, Kent, Ohio 44242, USA
| | - X Zheng
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - L Zhu
- University of Illinois at Urbana Champagne, Urbana, Illinois 61801, USA
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D'Arienzo M, Iacono M, Marrone S, Nardone R. Petri net based evaluation of energy consumption in wireless sensor nodes. Journal of High Speed Networks 2013. [DOI: 10.3233/jhs-130482] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
| | - Mauro Iacono
- DSP, Seconda Università di Napoli, Caserta, Italy
| | | | - Roberto Nardone
- DIETI, Università degli Studi “Federico II” di Napoli, Napoli, Italy
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Marrone S, Piantadosi G, Fusco R, Petrillo A, Sansone M, Sansone C. Automatic Lesion Detection in Breast DCE-MRI. Image Analysis and Processing – ICIAP 2013 2013. [DOI: 10.1007/978-3-642-41184-7_37] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Huang J, Allada K, Dutta C, Katich J, Qian X, Wang Y, Zhang Y, Aniol K, Annand JRM, Averett T, Benmokhtar F, Bertozzi W, Bradshaw PC, Bosted P, Camsonne A, Canan M, Cates GD, Chen C, Chen JP, Chen W, Chirapatpimol K, Chudakov E, Cisbani E, Cornejo JC, Cusanno F, Dalton MM, Deconinck W, de Jager CW, De Leo R, Deng X, Deur A, Ding H, Dolph PAM, Dutta D, El Fassi L, Frullani S, Gao H, Garibaldi F, Gaskell D, Gilad S, Gilman R, Glamazdin O, Golge S, Guo L, Hamilton D, Hansen O, Higinbotham DW, Holmstrom T, Huang M, Ibrahim HF, Iodice M, Jiang X, Jin G, Jones MK, Kelleher A, Kim W, Kolarkar A, Korsch W, Lerose JJ, Li X, Li Y, Lindgren R, Liyanage N, Long E, Lu HJ, Margaziotis DJ, Markowitz P, Marrone S, McNulty D, Meziani ZE, Michaels R, Moffit B, Muñoz Camacho C, Nanda S, Narayan A, Nelyubin V, Norum B, Oh Y, Osipenko M, Parno D, Peng JC, Phillips SK, Posik M, Puckett AJR, Qiang Y, Rakhman A, Ransome RD, Riordan S, Saha A, Sawatzky B, Schulte E, Shahinyan A, Shabestari MH, Sirca S, Stepanyan S, Subedi R, Sulkosky V, Tang LG, Tobias A, Urciuoli GM, Vilardi I, Wang K, Wojtsekhowski B, Yan X, Yao H, Ye Y, Ye Z, Yuan L, Zhan X, Zhang YW, Zhao B, Zheng X, Zhu L, Zhu X, Zong X. Beam-target double-spin asymmetry A{LT} in charged pion production from deep inelastic scattering on a transversely polarized {3}He target at 1.4<Q{2}<2.7 GeV{2}. Phys Rev Lett 2012; 108:052001. [PMID: 22400926 DOI: 10.1103/physrevlett.108.052001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2011] [Indexed: 05/31/2023]
Abstract
We report the first measurement of the double-spin asymmetry A{LT} for charged pion electroproduction in semi-inclusive deep-inelastic electron scattering on a transversely polarized {3}He target. The kinematics focused on the valence quark region, 0.16<x<0.35 with 1.4<Q{2}<2.7 GeV{2}. The corresponding neutron A{LT} asymmetries were extracted from the measured {3}He asymmetries and proton over {3}He cross section ratios using the effective polarization approximation. These new data probe the transverse momentum dependent parton distribution function g{1T}{q} and therefore provide access to quark spin-orbit correlations. Our results indicate a positive azimuthal asymmetry for π{-} production on {3}He and the neutron, while our π{+} asymmetries are consistent with zero.
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Affiliation(s)
- J Huang
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
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Qian X, Allada K, Dutta C, Huang J, Katich J, Wang Y, Zhang Y, Aniol K, Annand JRM, Averett T, Benmokhtar F, Bertozzi W, Bradshaw PC, Bosted P, Camsonne A, Canan M, Cates GD, Chen C, Chen JP, Chen W, Chirapatpimol K, Chudakov E, Cisbani E, Cornejo JC, Cusanno F, Dalton MM, Deconinck W, de Jager CW, De Leo R, Deng X, Deur A, Ding H, Dolph PAM, Dutta D, El Fassi L, Frullani S, Gao H, Garibaldi F, Gaskell D, Gilad S, Gilman R, Glamazdin O, Golge S, Guo L, Hamilton D, Hansen O, Higinbotham DW, Holmstrom T, Huang M, Ibrahim HF, Iodice M, Jiang X, Jin G, Jones MK, Kelleher A, Kim W, Kolarkar A, Korsch W, LeRose JJ, Li X, Li Y, Lindgren R, Liyanage N, Long E, Lu HJ, Margaziotis DJ, Markowitz P, Marrone S, McNulty D, Meziani ZE, Michaels R, Moffit B, Camacho CM, Nanda S, Narayan A, Nelyubin V, Norum B, Oh Y, Osipenko M, Parno D, Peng JC, Phillips SK, Posik M, Puckett AJR, Qiang Y, Rakhman A, Ransome RD, Riordan S, Saha A, Sawatzky B, Schulte E, Shahinyan A, Shabestari MH, Sirca S, Stepanyan S, Subedi R, Sulkosky V, Tang LG, Tobias A, Urciuoli GM, Vilardi I, Wang K, Wojtsekhowski B, Yan X, Yao H, Ye Y, Ye Z, Yuan L, Zhan X, Zhang YW, Zhao B, Zheng X, Zhu L, Zhu X, Zong X. Single spin asymmetries in charged pion production from semi-inclusive deep inelastic scattering on a transversely polarized 3He Target at Q2 = 1.4-2.7 GeV2. Phys Rev Lett 2011; 107:072003. [PMID: 21902386 DOI: 10.1103/physrevlett.107.072003] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2011] [Indexed: 05/31/2023]
Abstract
We report the first measurement of target single spin asymmetries in the semi-inclusive (3)He(e,e'π(±))X reaction on a transversely polarized target. The experiment, conducted at Jefferson Lab using a 5.9 GeV electron beam, covers a range of 0.16 < x < 0.35 with 1.4 < Q(2) < 2.7 GeV(2). The Collins and Sivers moments were extracted from the azimuthal angular dependence of the measured asymmetries. The π(±) Collins moments for (3)He are consistent with zero, except for the π(+) moment at x = 0.35, which deviates from zero by 2.3σ. While the π(-) Sivers moments are consistent with zero, the π(+) Sivers moments favor negative values. The neutron results were extracted using the nucleon effective polarization and measured cross section ratios of proton to (3)He, and are largely consistent with the predictions of phenomenological fits and quark model calculations.
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Affiliation(s)
- X Qian
- Duke University, Durham, North Carolina 27708, USA.
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Tarrío D, Tassan-Got L, Audouin L, Berthier B, Duran I, Ferrant L, Isaev S, Le Naour C, Paradela C, Stephan C, Trubert D, Abbondanno U, Aerts G, Álvarez H, Álvarez-Velarde F, Andriamonje S, Andrzejewski J, Assimakopoulos P, Badurek G, Baumann P, Becvár F, Berthoumieux E, Calviño F, Calviani M, Cano-Ott D, Capote R, Carrapiço C, Cennini P, Chepel V, Chiaveri E, Colonna N, Cortes G, Couture A, Cox J, Dahlfors M, David S, Dillmann I, Domingo-Pardo C, Dridi W, Eleftheriadis C, Embid-Segura M, Ferrari A, Ferreira-Marques R, Fujii K, Furman W, Gonçalves I, González-Romero E, Gramegna F, Guerrero C, Gunsig F, Haas B, Haight R, Heil M, Herrera-Martinez A, Igashira M, Jericha E, Kadi Y, Käppeler F, Karadimos D, Karamanis D, Kerveno M, Koehler P, Kossionides E, Krticka M, Lampoudis C, Leeb H, Lindote A, Lopes I, Lozano M, Lukic S, Marganiec J, Marrone S, Martínez T, Massimi C, Mastinu P, Mengoni A, Milazzo P, Moreau C, Mosconi M, Neves F, Oberhummer H, O’Brien S, Oshima M, Pancin J, Papachristodoulou C, Papadopoulos C, Patronis N, Pavlik A, Pavlopoulos P, Perrot L, Pigni M, Plag R, Plompen A, Plukis A, Poch A, Praena J, Pretel C, Quesada J, Rauscher T, Reifarth R, Rubbia C, Rudolf G, Rullhusen P, Salgado J, Santos C, Sarchiapone L, Savvidis I, Tagliente G, Tain J, Tavora L, Terlizzi R, Vannini G, Vaz P, Ventura A, Villamarin D, Vicente M, Vlachoudis V, Vlastou R, Voss F, Walter S, Wiescher M, Wisshak K. Measurements of high-energy neutron-induced fission ofnatPb and209Bi. EPJ Web of Conferences 2010. [DOI: 10.1051/epjconf/20100807009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Colonna N, Abbondanno U, Aerts G, Álvarez H, Álvarez-Velarde F, Andriamonje S, Andrzejewski J, Assimakopoulos P, Audouin L, Badurek G, Baumann P, Becvar F, Berthoumieux E, Calviani M, Calviño F, Cano-Ott D, Capote R, Carrillo de Albornoz A, Cennini P, Chepel V, Chiaveri E, Cortes G, Couture A, Cox J, Dahlfors M, David S, Dillman I, Dolfini R, Domingo-Pardo C, Dridi W, Duran I, Eleftheriadis C, Ferrant L, Ferrari A, Ferreira-Marques R, Frais-Koelbl H, Fujii K, Furman W, Goncalves I, González-Romero E, Goverdovski A, Gramegna F, Griesmayer E, Guerrero C, Gunsing F, Haas B, Haight R, Heil M, Herrera-Martinez A, Igashira M, Isaev S, Jericha E, Käppeler F, Kadi Y, Karadimos D, Karamanis D, Kerveno M, Ketlerov V, Koehler P, Konovalov V, Kossionides E, Krticka M, Lampoudis C, Leeb H, Lindote A, Lopes I, Lozano M, Lukic S, Marganiec J, Marques L, Marrone S, Martínez T, Massimi C, Mastinu P, Mengoni A, Milazzo P, Moreau C, Mosconi M, Neves F, Oberhummer H, O’Brien S, Oshima M, Pancin J, Papachristodoulou C, Papadopoulos C, Paradela C, Patronis N, Pavlik A, Pavlopoulos P, Perrot L, Pigni M, Plag R, Plompen A, Plukis A, Poch A, Pretel C, Quesada J, Rauscher T, Reifarth R, Rosetti M, Rubbia C, Rudolf G, Rullhusen P, Salgado J, Sarchiapone L, Savvidis I, Stephan C, Tagliente G, Tain J, Tassan-Got L, Tavora L, Terlizzi R, Vannini G, Vaz P, Ventura A, Villamarin D, Vicente M, Vlachoudis V, Vlastou R, Voss F, Walter S, Wendler H, Wiescher M, Wisshak K. Neutron cross-sections for next generation reactors: New data from n_TOF. Appl Radiat Isot 2010; 68:643-6. [DOI: 10.1016/j.apradiso.2010.01.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Cusanno F, Urciuoli GM, Acha A, Ambrozewicz P, Aniol KA, Baturin P, Bertin PY, Benaoum H, Blomqvist KI, Boeglin WU, Breuer H, Brindza P, Bydzovský P, Camsonne A, Chang CC, Chen JP, Choi S, Chudakov EA, Cisbani E, Colilli S, Coman L, Craver BJ, De Cataldo G, de Jager CW, De Leo R, Deur AP, Ferdi C, Feuerbach RJ, Folts E, Fratoni R, Frullani S, Garibaldi F, Gayou O, Giuliani F, Gomez J, Gricia M, Hansen JO, Hayes D, Higinbotham DW, Holmstrom TK, Hyde CE, Ibrahim HF, Iodice M, Jiang X, Kaufman LJ, Kino K, Kross B, Lagamba L, LeRose JJ, Lindgren RA, Lucentini M, Margaziotis DJ, Markowitz P, Marrone S, Meziani ZE, McCormick K, Michaels RW, Millener DJ, Miyoshi T, Moffit B, Monaghan PA, Moteabbed M, Muñoz Camacho C, Nanda S, Nappi E, Nelyubin VV, Norum BE, Okasyasu Y, Paschke KD, Perdrisat CF, Piasetzky E, Punjabi VA, Qiang Y, Raue B, Reimer PE, Reinhold J, Reitz B, Roche RE, Rodriguez VM, Saha A, Santavenere F, Sarty AJ, Segal J, Shahinyan A, Singh J, Sirca S, Snyder R, Solvignon PH, Sotona M, Subedi R, Sulkosky VA, Suzuki T, Ueno H, Ulmer PE, Veneroni P, Voutier E, Wojtsekhowski BB, Zheng X, Zorn C. High-resolution spectroscopy of Lambda16N by electroproduction. Phys Rev Lett 2009; 103:202501. [PMID: 20365979 DOI: 10.1103/physrevlett.103.202501] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2008] [Revised: 09/14/2009] [Indexed: 05/29/2023]
Abstract
An experimental study of the (16)O(e,e'K(+))(Lambda)(16)N reaction has been performed at Jefferson Lab. A thin film of falling water was used as a target. This permitted a simultaneous measurement of the p(e,e'K(+))Lambda, Sigma(0) exclusive reactions and a precise calibration of the energy scale. A ground-state binding energy of 13.76+/-0.16 MeV was obtained for (Lambda)(16)N with better precision than previous measurements on the mirror hypernucleus (Lambda)(16)O. Precise energies have been determined for peaks arising from a Lambda in s and p orbits coupled to the p(1/2) and p(3/2) hole states of the (15)N core nucleus.
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Affiliation(s)
- F Cusanno
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma, Piazzale Aldo Moro 2, I-00185 Rome, Italy
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Terlizzi R, Colonna N, Colangelo P, Maiorana A, Marrone S, Rainò A, Tagliente G, Variale V. Design of an accelerator-based neutron source for neutron capture therapy. Appl Radiat Isot 2009; 67:S292-5. [DOI: 10.1016/j.apradiso.2009.03.116] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Subedi R, Shneor R, Monaghan P, Anderson BD, Aniol K, Annand J, Arrington J, Benaoum H, Benmokhtar F, Boeglin W, Chen JP, Choi S, Cisbani E, Craver B, Frullani S, Garibaldi F, Gilad S, Gilman R, Glamazdin O, Hansen JO, Higinbotham DW, Holmstrom T, Ibrahim H, Igarashi R, de Jager CW, Jans E, Jiang X, Kaufman LJ, Kelleher A, Kolarkar A, Kumbartzki G, LeRose JJ, Lindgren R, Liyanage N, Margaziotis DJ, Markowitz P, Marrone S, Mazouz M, Meekins D, Michaels R, Moffit B, Perdrisat CF, Piasetzky E, Potokar M, Punjabi V, Qiang Y, Reinhold J, Ron G, Rosner G, Saha A, Sawatzky B, Shahinyan A, Sirca S, Slifer K, Solvignon P, Sulkosky V, Urciuoli GM, Voutier E, Watson JW, Weinstein LB, Wojtsekhowski B, Wood S, Zheng XC, Zhu L. Probing Cold Dense Nuclear Matter. Science 2008; 320:1476-8. [DOI: 10.1126/science.1156675] [Citation(s) in RCA: 310] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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Shneor R, Monaghan P, Subedi R, Anderson BD, Aniol K, Annand J, Arrington J, Benaoum H, Benmokhtar F, Bertin P, Bertozzi W, Boeglin W, Chen JP, Choi S, Chudakov E, Cisbani E, Craver B, de Jager CW, Feuerbach RJ, Frullani S, Garibaldi F, Gayou O, Gilad S, Gilman R, Glamazdin O, Gomez J, Hansen JO, Higinbotham DW, Holmstrom T, Ibrahim H, Igarashi R, Jans E, Jiang X, Jiang Y, Kaufman L, Kelleher A, Kolarkar A, Kuchina E, Kumbartzki G, LeRose JJ, Lindgren R, Liyanage N, Margaziotis DJ, Markowitz P, Marrone S, Mazouz M, Meekins D, Michaels R, Moffit B, Nanda S, Perdrisat CF, Piasetzky E, Potokar M, Punjabi V, Qiang Y, Reinhold J, Reitz B, Ron G, Rosner G, Saha A, Sawatzky B, Shahinyan A, Sirca S, Slifer K, Solvignon P, Sulkosky V, Thompson N, Ulmer PE, Urciuoli GM, Voutier E, Wang K, Watson JW, Weinstein LB, Wojtsekhowski B, Wood S, Yao H, Zheng X, Zhu L. Investigation of proton-proton short-range correlations via the 12C(e,e'pp) reaction. Phys Rev Lett 2007; 99:072501. [PMID: 17930888 DOI: 10.1103/physrevlett.99.072501] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2007] [Indexed: 05/25/2023]
Abstract
We investigated simultaneously the 12C(e,e'p) and 12C(e,e'pp) reactions at Q2=2 (GeV/c)2, xB=1.2, and in an (e, e'p) missing-momentum range from 300 to 600 MeV/c. At these kinematics, with a missing momentum greater than the Fermi momentum of nucleons in a nucleus and far from the delta excitation, short-range nucleon-nucleon correlations are predicted to dominate the reaction. For (9.5+/-2)% of the 12C(e,e'p) events, a recoiling partner proton was observed back-to-back to the 12C(e,e'p) missing-momentum vector, an experimental signature of correlations.
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Affiliation(s)
- R Shneor
- Tel Aviv University, Tel Aviv 69978, Israel
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Iodice M, Cusanno F, Acha A, Ambrozewicz P, Aniol KA, Baturin P, Bertin PY, Benaoum H, Blomqvist KI, Boeglin WU, Breuer H, Brindza P, Bydzovský P, Camsonne A, Chang CC, Chen JP, Choi S, Chudakov EA, Cisbani E, Colilli S, Coman L, Craver BJ, De Cataldo G, de Jager CW, De Leo R, Deur AP, Ferdi C, Feuerbach RJ, Folts E, Fratoni R, Frullani S, Garibaldi F, Gayou O, Giulani F, Gomez J, Gricia M, Hansen JO, Hayes D, Higinbotham DW, Holmstrom TK, Hyde CE, Ibrahim HF, Jiang X, Kaufman LJ, Kino K, Kross B, Lagamba L, LeRose JJ, Lindgren RA, Lucentini M, Margaziotis DJ, Markowitz P, Marrone S, Meziani ZE, McCormick K, Michaels RW, Millener DJ, Miyoshi T, Moffit B, Monaghan PA, Moteabbed M, Muñoz Camacho C, Nanda S, Nappi E, Nelyubin VV, Norum BE, Okasyasu Y, Paschke KD, Perdrisat CF, Piasetzky E, Punjabi VA, Qiang Y, Raue B, Reimer PE, Reinhold J, Reitz B, Roche RE, Rodriguez VM, Saha A, Santavenere F, Sarty AJ, Segal J, Shahinyan A, Singh J, Sirca S, Snyder R, Solvignon PH, Sotona M, Subedi R, Sulkosky VA, Suzuki T, Ueno H, Ulmer PE, Urciuoli GM, Veneroni P, Voutier E, Wojtsekhowski BB, Ye Y, Zheng X, Zhou S, Zorn C. High resolution spectroscopy of (lambda)(12)B by electroproduction. Phys Rev Lett 2007; 99:052501. [PMID: 17930747 DOI: 10.1103/physrevlett.99.052501] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2007] [Indexed: 05/25/2023]
Abstract
An experiment measuring electroproduction of hypernuclei has been performed in hall A at Jefferson Lab on a 12C target. In order to increase counting rates and provide unambiguous kaon identification two superconducting septum magnets and a ring imaging Cherenkov detector were added to the hall A standard equipment. An unprecedented energy resolution of less than 700 keV FWHM has been achieved. Thus, the observed (Lambda)(12)B spectrum shows for the first time identifiable strength in the core-excited region between the ground-state s-wave Lambda peak and the 11 MeV p-wave Lambda peak.
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Affiliation(s)
- M Iodice
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma Tre, I-00146 Roma, Italy
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Cabibbo M, Marrone S, Quadrini E. Mechanical and microstructural characteristics of laser welded titanium–aluminium joints. ACTA ACUST UNITED AC 2005. [DOI: 10.1533/wint.2005.3379] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Abbondanno U, Aerts G, Alvarez-Velarde F, Alvarez-Pol H, Andriamonje S, Andrzejewski J, Badurek G, Baumann P, Becvár F, Benlliure J, Berthoumieux E, Calviño F, Cano-Ott D, Capote R, Cennini P, Chepel V, Chiaveri E, Colonna N, Cortes G, Cortina D, Couture A, Cox J, Dababneh S, Dahlfors M, David S, Dolfini R, Domingo-Pardo C, Duran I, Embid-Segura M, Ferrant L, Ferrari A, Ferreira-Marques R, Frais-Koelbl H, Furman W, Goncalves I, Gallino R, Gonzalez-Romero E, Goverdovski A, Gramegna F, Griesmayer E, Gunsing F, Haas B, Haight R, Heil M, Herrera-Martinez A, Isaev S, Jericha E, Käppeler F, Kadi Y, Karadimos D, Kerveno M, Ketlerov V, Koehler P, Konovalov V, Krticka M, Lamboudis C, Leeb H, Lindote A, Lopes I, Lozano M, Lukic S, Marganiec J, Marrone S, Martinez-Val J, Mastinu P, Mengoni A, Milazzo PM, Molina-Coballes A, Moreau C, Mosconi M, Neves F, Oberhummer H, O'Brien S, Pancin J, Papaevangelou T, Paradela C, Pavlik A, Pavlopoulos P, Perlado JM, Perrot L, Pignatari M, Plag R, Plompen A, Plukis A, Poch A, Policarpo A, Pretel C, Quesada J, Raman S, Rapp W, Rauscher T, Reifarth R, Rosetti M, Rubbia C, Rudolf G, Rullhusen P, Salgado J, Soares JC, Stephan C, Tagliente G, Tain J, Tassan-Got L, Tavora L, Terlizzi R, Vannini G, Vaz P, Ventura A, Villamarin D, Vincente MC, Vlachoudis V, Voss F, Wendler H, Wiescher M, Wisshak K. Neutron capture cross section measurement of 151Sm at the CERN neutron time of flight facility (n_TOF). Phys Rev Lett 2004; 93:161103. [PMID: 15524972 DOI: 10.1103/physrevlett.93.161103] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2004] [Indexed: 05/24/2023]
Abstract
The151Sm(n,gamma)152Sm cross section has been measured at the spallation neutron facility n_TOF at CERN in the energy range from 1 eV to 1 MeV. The new facility combines excellent resolution in neutron time-of-flight, low repetition rates, and an unsurpassed instantaneous luminosity, resulting in rather favorable signal/background ratios. The 151Sm cross section is of importance for characterizing neutron capture nucleosynthesis in asymptotic giant branch stars. At a thermal energy of kT=30 keV the Maxwellian averaged cross section of this unstable isotope (t(1/2)=93 yr) was determined to be 3100+/-160 mb, significantly larger than theoretical predictions.
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Affiliation(s)
- U Abbondanno
- Istituto Nazionale di Fisica Nucleare, Trieste, Italy
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Ghetti R, Helgesson J, Colonna N, Jakobsson B, Anzalone A, Bellini V, Carlèn L, Cavallaro S, Celano L, De Filippo E, D'Erasmo G, Di Santo D, Fiore EM, Fokin A, Geraci M, Giustolisi F, Kuznetsov A, Lanzanò G, Mahboub D, Marrone S, Mårtensson J, Palomba M, Pantaleo A, Paticchio V, Riera G, Sperduto ML, Sutera C, Tagliente G, Urrata M. Possibility to deduce the emission time sequence of neutrons and protons from the neutron-proton correlation function. Phys Rev Lett 2001; 87:102701. [PMID: 11531477 DOI: 10.1103/physrevlett.87.102701] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2001] [Revised: 06/12/2001] [Indexed: 05/23/2023]
Abstract
Experimental information has been derived from the neutron-proton correlation function in order to deduce the time sequence of neutrons and protons emitted at 45 degrees in the E/A = 45 MeV 58Ni + 27Al reaction.
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Affiliation(s)
- R Ghetti
- Department of Physics, Lund University, Box 118, SE-221 00 Lund, Sweden
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Abstract
Saudi Arabia's vast economic resources have enabled the development of state-of-the-art hospitals. Nurses recruited from around the world staff these hospitals creating one of the most multicultural practice settings in the world. Ethnic, educational, and experiential diversity; language and communication barriers; and alternative ways of knowing and learning challenge nurse educators to be more creative and explore opportunities for greater participation and learning among various cultural groups. Gaming, as a teaching-learning strategy for multicultural participants, affords the necessary flexibility and nonthreatening atmosphere which facilitates positive interactions among different, and often competing, communication patterns and learning styles. This article explores how and why gaming is as an effective educational strategy in a transcultural setting.
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Affiliation(s)
- R Gary
- Center for Distance Learning, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
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Marrone S. Memorial Health Systems Primary Care Network: pulling it all together. Pa Med 1997; 100:26-7. [PMID: 9086798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
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Marrone S. The employer's bird's-eye view. Pa Med 1997; 100:20-1. [PMID: 9014487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Managed care has become a viable alternative for employers nationwide, Pittsburgh employers explain why.
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Marrone S. Marketing accessibility in Pittsburgh. Pa Med 1996; 99:20-1. [PMID: 8961759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Surviving in the practice management world these days isn't quite like it used to be. It requires innovative marketing and expanded efforts. In this second in a series of articles profiling group practices and their administrators. The author focuses on management of an academic group.
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Marrone S. ChoiceCare physicians: reaching out with value-added service. Pa Med 1996; 99:32-4. [PMID: 8854723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
The wave of the future has broken. Group practices are everywhere. In some cases, practices are formed to efficiently and effectively market physician services. In other cases. It's a matter of physicians banding together to maintain control of patient care. In this issue of Pennsylvania Medicine, we debut a new series of bimonthly articles profiling group practices in Pennsylvania. We begin in Pittsburgh...
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Marrone S. Office managers: nobody knows the trouble they see. Pa Med 1995; 98:34-6. [PMID: 7478669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Computers, code revisions, and patients' changing expectations have added responsibility and a new level of complexity to the job of medical office manager. How are you and your office manager coping? Some experienced managers relay their views of this rapidly changing field.
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Marrone S, Marchi S, Franceschelli N. [Peridural analgesia in labor: comparison of two different methods]. Minerva Anestesiol 1990; 56:1045. [PMID: 2290500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- S Marrone
- Servizio di Anestesia II, Osp. Maggiore C.A. Pizzardi, Bologna
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47
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Marrone S, Martinelli G, Verucchi P, Zanoni A. [The clinical use of ethrane in surgery of the lung]. Minerva Anestesiol 1975; 41:577-81. [PMID: 1207923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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48
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Castelli E, Corticelli AS, Marrone S. [Cardiocirculatory arrest in resuscitation: case reports]. Boll Soc Ital Cardiol 1970; 15:649-657. [PMID: 5517659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
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