LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain's Primes on Ulam's Spiral-Based Features with Electroencephalogram Signals

Anxiety, learning disabilities, and depression are the symptoms of attention deficit hyperactivity disorder (ADHD), an isogenous pattern of hyperactivity, impulsivity, and inattention. For the early diagnosis of ADHD, electroencephalogram (EEG) signals are widely used. However, the direct analysis of an EEG is highly challenging as it is time-consuming, nonlinear, and nonstationary in nature. Thus, in this paper, a novel approach (LSGP-USFNet) is developed based on the patterns obtained from Ulam's spiral and Sophia Germain's prime numbers. The EEG signals are initially filtered to remove the noise and segmented with a non-overlapping sliding window of a length of 512 samples. Then, a time-frequency analysis approach, namely continuous wavelet transform, is applied to each channel of the segmented EEG signal to interpret it in the time and frequency domain. The obtained time-frequency representation is saved as a time-frequency image, and a non-overlapping n × n sliding window is applied to this image for patch extraction. An n × n Ulam's spiral is localized on each patch, and the gray levels are acquired from this patch as features where Sophie Germain's primes are located in Ulam's spiral. All gray tones from all patches are concatenated to construct the features for ADHD and normal classes. A gray tone selection algorithm, namely ReliefF, is employed on the representative features to acquire the final most important gray tones. The support vector machine classifier is used with a 10-fold cross-validation criteria. Our proposed approach, LSGP-USFNet, was developed using a publicly available dataset and obtained an accuracy of 97.46% in detecting ADHD automatically. Our generated model is ready to be validated using a bigger database and it can also be used to detect other children's neurological disorders.

CFAP45, a heterotaxy and congenital heart disease gene, affects cilia stability

Congenital heart disease (CHD) is the most common and lethal birth defect, affecting 1.3 million individuals worldwide. During early embryogenesis, errors in Left-Right (LR) patterning called Heterotaxy (Htx) can lead to severe CHD. Many of the genetic underpinnings of Htx/CHD remain unknown. In analyzing a family with Htx/CHD using whole-exome sequencing, we identified a homozygous recessive missense mutation in CFAP45 in two affected siblings. CFAP45 belongs to the coiled-coil domain-containing protein family, and its role in development is emerging. When we depleted Cfap45 in frog embryos, we detected abnormalities in cardiac looping and global markers of LR patterning, recapitulating the patient's heterotaxy phenotype. In vertebrates, laterality is broken at the Left-Right Organizer (LRO) by motile monocilia that generate leftward fluid flow. When we analyzed the LRO in embryos depleted of Cfap45, we discovered "bulges" within the cilia of these monociliated cells. In addition, epidermal multiciliated cells lost cilia with Cfap45 depletion. Via live confocal imaging, we found that Cfap45 localizes in a punctate but static position within the ciliary axoneme, and depletion leads to loss of cilia stability and eventual detachment from the cell's apical surface. This work demonstrates that in Xenopus, Cfap45 is required to sustain cilia stability in multiciliated and monociliated cells, providing a plausible mechanism for its role in heterotaxy and congenital heart disease.

Comparison of the effectiveness and safety of the "endoscope-assisted polypropylene mesh lift" and "gliding brow lift" techniques for the treatment of lateral brow ptosis

BACKGROUND

There are many techniques used to treat lateral brow ptosis. This study compared two techniques that are used for lateral brow rejuvenation in terms of effectiveness and safety-namely, endoscope-assisted polypropylene mesh lift (EAML) and gliding brow lift (GBL).

METHOD

Eighty-six patients who underwent brow lift surgery between March 2018 and June 2020 were included in this retrospective study. Forty-four patients were operated on using the EAML technique, whereas 42 patients were operated on using the GBL technique. The measurement of defined distances in photographs was carried out using a software, and the Brow Positioning Grading Scale (BPGS) and Global Aesthetic Improvement Scale (GAIS) were applied in the pre and postoperative periods.

RESULTS

The measurement results obtained in the postoperative period were better than those obtained in the preoperative period for both the techniques, whereas the results obtained at postoperative month 3 were found to be better than those obtained at month 12 (p < 0.05). The results were similar between the measurements at postoperative months 3 and 12 for both the techniques. The loss of brow height from postoperative months 3-12 was greater in the GBL group (p < 0.05). The postoperative scores on the BPGS were found to be better in both techniques than the preoperative scores (p < 0.05). The GAIS score at postoperative month 12 was found to be better in the EAML group. The two groups had similar rates of complications.

CONCLUSION

The two techniques were found to have similar effectiveness and safety profiles for brow rejuvenation.

LEVEL OF EVIDENCE: 4

Automated Hypertension Detection Using ConvMixer and Spectrogram Techniques with Ballistocardiograph Signals

Blood pressure is the pressure exerted by the blood in the veins against the walls of the veins. If this value is above normal levels, it is known as high blood pressure (HBP) or hypertension (HPT). This health problem which often referred to as the "silent killer" reduces the quality of life and causes severe damage to many body parts in various ways. Besides, its mortality rate is very high. Hence, rapid and effective diagnosis of this health problem is crucial. In this study, an automatic diagnosis of HPT has been proposed using ballistocardiography (BCG) signals. The BCG signals were transformed to the time-frequency domain using the spectrogram method. While creating the spectrogram images, parameters such as window type, window length, overlapping rate, and fast Fourier transform size were adjusted. Then, these images were classified using ConvMixer architecture, similar to vision transformers (ViT) and multi-layer perceptron (MLP)-mixer structures, which have attracted a lot of attention. Its performance was compared with classical architectures such as ResNet18 and ResNet50. The results obtained showed that the ConvMixer structure gave very successful results and a very short operation time. Our proposed model has obtained an accuracy of 98.14%, 98.79%, and 97.69% for the ResNet18, ResNet50, and ConvMixer architectures, respectively. In addition, it has been observed that the processing time of the ConvMixer architecture is relatively short compared to these two architectures.

Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset

Emotion identification is an essential task for human-computer interaction systems. Electroencephalogram (EEG) signals have been widely used in emotion recognition. So far, there have been several EEG-based emotion recognition datasets that the researchers have used to validate their developed models. Hence, we have used a new ICBrainDB EEG dataset to classify angry, neutral, happy, and sad emotions in this work. Signal processing-based wavelet transform (WT), tunable Q-factor wavelet transform (TQWT), and image processing-based histogram of oriented gradients (HOG), local binary pattern (LBP), and convolutional neural network (CNN) features have been used extracted from the EEG signals. The WT is used to extract the rhythms from each channel of the EEG signal. The instantaneous frequency and spectral entropy are computed from each EEG rhythm signal. The average, and standard deviation of instantaneous frequency, and spectral entropy of each rhythm of the signal are the final feature vectors. The spectral entropy in each channel of the EEG signal after performing the TQWT is used to create the feature vectors in the second signal side method. Each EEG channel is transformed into time-frequency plots using the synchrosqueezed wavelet transform. Then, the feature vectors are constructed individually using windowed HOG and LBP features. Also, each channel of the EEG data is fed to a pretrained CNN to extract the features. In the feature selection process, the ReliefF feature selector is employed. Various feature classification algorithms namely, k-nearest neighbor (KNN), support vector machines, and neural networks are used for the automated classification of angry, neutral, happy, and sad emotions. Our developed model obtained an average accuracy of 90.7% using HOG features and a KNN classifier with a tenfold cross-validation strategy.

Explainable COVID-19 detection using fractal dimension and vision transformer with Grad-CAM on cough sounds

The polymerase chain reaction (PCR) test is not only time-intensive but also a contact method that puts healthcare personnel at risk. Thus, contactless and fast detection tests are more valuable. Cough sound is an important indicator of COVID-19, and in this paper, a novel explainable scheme is developed for cough sound-based COVID-19 detection. In the presented work, the cough sound is initially segmented into overlapping parts, and each segment is labeled as the input audio, which may contain other sounds. The deep Yet Another Mobile Network (YAMNet) model is considered in this work. After labeling, the segments labeled as cough are cropped and concatenated to reconstruct the pure cough sounds. Then, four fractal dimensions (FD) calculation methods are employed to acquire the FD coefficients on the cough sound with an overlapped sliding window that forms a matrix. The constructed matrixes are then used to form the fractal dimension images. Finally, a pretrained vision transformer (ViT) model is used to classify the constructed images into COVID-19, healthy and symptomatic classes. In this work, we demonstrate the performance of the ViT on cough sound-based COVID-19, and a visual explainability of the inner workings of the ViT model is shown. Three publically available cough sound datasets, namely COUGHVID, VIRUFY, and COSWARA, are used in this study. We have obtained 98.45%, 98.15%, and 97.59% accuracy for COUGHVID, VIRUFY, and COSWARA datasets, respectively. Our developed model obtained the highest performance compared to the state-of-the-art methods and is ready to be tested in real-world applications.

High-precision background correction and artifact suppression for ultrafast spectroscopy by quasi-simultaneous measurements in a split-sample cell

Alternating acquisition of background and sample spectra is often employed in conventional Fourier-transform infrared spectroscopy or ultraviolet-visible spectroscopy for accurate background subtraction. For example, for solvent background correction, typically a spectrum of a cuvette with solvent is measured and subtracted from a spectrum of a cuvette with solvent and solute. Ultrafast spectroscopies, though, come with many peculiarities that make the collection of well-matched, subtractable background and sample spectra challenging. Here, we present a demountable split-sample cell in combination with a modified Lissajous scanner to overcome these challenges. It allows for quasi-simultaneous measurements of background and sample spectra, mitigating the effects of drifts of the setup and maintaining the beam and sample geometry when swapping between background and sample measurements. The cell is moving between subsequent laser shots to refresh the excited sample volume. With less than 45 μl of solution for 150 μm optical thickness, sample usage is economical. Cell assembly is a key step and covered in an illustrated protocol.

In Xenopus ependymal cilia drive embryonic CSF circulation and brain development independently of cardiac pulsatile forces

BACKGROUND

Hydrocephalus, the pathological expansion of the cerebrospinal fluid (CSF)-filled cerebral ventricles, is a common, deadly disease. In the adult, cardiac and respiratory forces are the main drivers of CSF flow within the brain ventricular system to remove waste and deliver nutrients. In contrast, the mechanics and functions of CSF circulation in the embryonic brain are poorly understood. This is primarily due to the lack of model systems and imaging technology to study these early time points. Here, we studied embryos of the vertebrate Xenopus with optical coherence tomography (OCT) imaging to investigate in vivo ventricular and neural development during the onset of CSF circulation.

METHODS

Optical coherence tomography (OCT), a cross-sectional imaging modality, was used to study developing Xenopus tadpole brains and to dynamically detect in vivo ventricular morphology and CSF circulation in real-time, at micrometer resolution. The effects of immobilizing cilia and cardiac ablation were investigated.

RESULTS

In Xenopus, using OCT imaging, we demonstrated that ventriculogenesis can be tracked throughout development until the beginning of metamorphosis. We found that during Xenopus embryogenesis, initially, CSF fills the primitive ventricular space and remains static, followed by the initiation of the cilia driven CSF circulation where ependymal cilia create a polarized CSF flow. No pulsatile flow was detected throughout these tailbud and early tadpole stages. As development progressed, despite the emergence of the choroid plexus in Xenopus, cardiac forces did not contribute to the CSF circulation, and ciliary flow remained the driver of the intercompartmental bidirectional flow as well as the near-wall flow. We finally showed that cilia driven flow is crucial for proper rostral development and regulated the spatial neural cell organization.

CONCLUSIONS

Our data support a paradigm in which Xenopus embryonic ventriculogenesis and rostral brain development are critically dependent on ependymal cilia-driven CSF flow currents that are generated independently of cardiac pulsatile forces. Our work suggests that the Xenopus ventricular system forms a complex cilia-driven CSF flow network which regulates neural cell organization. This work will redirect efforts to understand the molecular regulators of embryonic CSF flow by focusing attention on motile cilia rather than other forces relevant only to the adult.

Transfer learning based histopathologic image classification for breast cancer detection

Breast cancer is one of the leading cancer type among women in worldwide. Many breast cancer patients die every year due to the late diagnosis and treatment. Thus, in recent years, early breast cancer detection systems based on patient's imagery are in demand. Deep learning attracts many researchers recently and many computer vision applications have come out in various environments. Convolutional neural network (CNN) which is known as deep learning architecture, has achieved impressive results in many applications. CNNs generally suffer from tuning a huge number of parameters which bring a great amount of complexity to the system. In addition, the initialization of the weights of the CNN is another handicap that needs to be handle carefully. In this paper, transfer learning and deep feature extraction methods are used which adapt a pre-trained CNN model to the problem at hand. AlexNet and Vgg16 models are considered in the presented work for feature extraction and AlexNet is used for further fine-tuning. The obtained features are then classified by support vector machines (SVM). Extensive experiments on a publicly available histopathologic breast cancer dataset are carried out and the accuracy scores are calculated for performance evaluation. The evaluation results show that the transfer learning produced better result than deep feature extraction and SVM classification.

Note: An automatic liquid nitrogen refilling system for small (detector) Dewar vessels

Many infrared spectroscopy setups are in principle stable enough to run overnight or longer, but the detector's Dewar vessel must be refilled manually with liquid nitrogen (LN₂) every couple of hours. Commercial automatic LN₂ refilling systems work reliably only for large Dewars. Here, we present a refilling system which can non-invasively be applied to already installed small Dewars. The system reliably refills LN₂ once it has dropped below an adjustable level, with quick refilling (<3 min) for a 0.6 l Dewar. Our design protects the setup and the detector from overflowing or running without LN₂.

A case report of metastasis of malignant mesothelioma to the retromolar trigone

Background

Malignant mesothelioma is a rare and aggressive tumor with a poor prognosis. Distant metastases are very rare, and the oral cavity metastases are exceedingly rare. Only a few cases with metastasis to oral gingiva are reported. To our knowledge, this is the first case report of pleural mesothelioma metastasized to the retromolar trigone.

Case presentation

A 59-year-old male was referred with a painless growth at retromolar trigone area. It had been present for 2 months and had increased in size during this period of time. Past medical history revealed a malignant mesothelioma. Intraoral examination showed a soft, haemorrhagic, ulcerated lesion at the right retromolar trigone area. There was no destruction of the bony architecture. An incisional biopsy was performed under local anaesthesia. Based on the histopathological and immunohistochemical findings, a final diagnosis of metastatic mesothelioma was made. The patient was informed about the possibility of multiple metastases within the body, but he succumbed after 45 days following deterioration of his medical condition.

Conclusions

Biopsy, history of the patient and clinical picture were provided to the clinicians to make an efficient differential diagnosis. Differential diagnosis must be performed with other oral cancers, because the management is totally different.

A-waves and electrophysiologically established diagnoses

The aim of this study was to investigate the presence of A-waves in cases referred to our electromyography laboratory with various diagnoses and documentation of electrophysiologic diagnoses with A-waves. In cases where at least 3 motor nerves were analysed, during F response studies, A-waves having stabile latencies and amplitudes from minimum one third of submaximal and supramaximal stimuli were evaluated. Electrophysiologic diagnoses and the related nerves of cases with A-waves were recorded. A-waves were obtained from 38 out of 1604 cases (2.36%). Most of the cases (57.8%) with established A-waves consisted of patients with radiculopathies. A-waves were detected mostly in tibial nerve. Electrophysiologic analysis of 5 cases with A-waves has given normal results. Although mechanism of A-waves is not known completely, we suggest when obtained it must be remarked during routine electrophysiologic examination.

A rare intrahepatic portacaval tubular shunt in a patient with spastic paraparesis

Although there are numerous communications between the portal and systemic venous systems, intrahepatic portosystemic venous shunts are not frequently encountered in clinical practice. Here we report a patient who presented with spastic paraparesis, who was found to have chronic liver disease with tubular intrahepatic portacaval shunting.

The role of pentoxifylline in the treatment of erectile dysfunction due to borderline arterial insufficiency

OBJECTIVE

To investigate the effects of pentoxifylline on penile blood flow and potency in patients with erectile dysfunction due to borderline arterial insufficiency.

PATIENTS AND METHODS

Following a routine diagnostic evaluation, 36 patients with borderline arterial disease diagnosed using penile duplex ultrasonography were included in the study. Of these patients, 20 (mean age 54 years, range 40-66) received 1.2 g of pentoxifylline daily, divided into three doses orally, for 2 months and 16 (mean age 54 years, range 34-65) received a placebo. Peak systolic velocities (PSVs) before and after the treatment were compared with those in patients receiving a placebo. The clinical improvement in erectile function was also evaluated.

RESULTS

Twelve of 20 patients receiving pentoxifylline had an increase in PSV at the end of the treatment period. The mean change in PSV achieved by pentoxifylline treatment (6.25 cm/s) was significantly higher than that achieved by the placebo (0.38 cm/s). Seven patients had a positive response (successful coitus achieved after treatment with pentoxifylline). No serious side-effects occurred.

CONCLUSION

Pentoxifylline was well tolerated and could increase penile arterial inflow, shown objectively as an increase in PSV on penile duplex ultrasonography. These findings should encourage further studies of the efficacy of pentoxifylline in the treatment of impotence.

A new aneurysm wrapping material: polyglactin 910 + fibrin sealant

Aneurysms experimentally induced by using the silver nitrate coagulation method in 10 Wistar Albino rats are wrapped with Polyglactin 910 and Fibrin Sealant. 6 weeks later the rats are sacrificed and compared with the control group. In the group in which Polyglactin 910 and Fibrin Sealant were used as the wrapping material, non-specific inflammatory granulation tissue development around the aneurysms is observed. We suggest that a Polyglactin 910 and Fibrin Sealant combination can be used as a wrapping material in the treatment of aneurysms where clipping is not possible.

Sonourethrography in anterior urethral stricture: comparison to radiographic urethrography

Twenty-three male patients with known or suspected urethral stricture disease were evaluated using sonourethrography and standard retrograde x-ray urethrography for comparative analysis of two techniques. Results were evaluated statistically. These two methods can substitute each other in determining the stricture area length of anterior urethra. Due to advantages, if both of these methods are used combining each other, we believe that they will be much more sensitive.

[Investigation of pre- and post-treatment cephalometric measurements of the subjects treated by Edgewise technique]

In this study, pre and posttreatment cephalometric measurements of twenty-four cases, of which twelve had Angle Class I and twelve had Angle Class II, division 1 malocclusion were studied. Dental, skeletal and soft tissue changes were observed in both class I and class II, 1 malocclusions treated by Edgewise Technique with extraction.

[Tracing and measuring errors in the roentgenographic cephalometry]

In the present study, thirty cephalometric films which had been used in three different investigations using almost the same parameters were selected and divided into two groups. Twenty-three parameters in the first group and nine parameters in the second, which were used in two and three investigations respectively, were statistically compared. Paired t test was used in the first group and variance analysis in the second group. In conclusion, a lot of parameters exhibited statistically significant variability, while some of them were not.

Oromandibular limb hypogenesis/Hanhart's syndrome: possible drug influence on the malformation

Oromandibular limb hypogenesis/Hanhart's syndrome in a female infant with an antenatal history of meclizine hydrochloride usage during gestation is reported. The genetics of the syndrome are discussed and the possibility of the drug's influence on the malformation is suggested.