Efficient, Robust, and Accurate CNN Predictor for Neuronal Activation in Directional Deep Brain Stimulation by Shunjing Wang, Ru Ma, Qunran Yuan, Hongda Li, Changqing Jiang

“…However, the standard method for VTA calculation, which involves modeling biological nerve fibers, is highly time-consuming and limits clinical applicability. …”
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ADHD detection from EEG signals using GCN based on multi-domain features by Ling Li, Xueyang Guo, Zihan Yang, Yanping Zhao, Xu Liu, Junxian Yang, Yanyan Chen, Xinxian Peng, Lina Han

“…While many researchers have explored automated ADHD detection methods, developing accurate, rapid, and reliable approaches remains challenging.MethodsThis study proposes a graph convolutional neural network (GCN)-based ADHD detection framework utilizing multi-domain electroencephalogram (EEG) features. …”
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Potentials of transcutaneous ultrasound investigation of neck and mediastinum at cancer of the upper third of esophagus by V. I. Kazakevich, L. A. Mitina, S. O. Stepanov

“…Transcutaneous US is effective method of visualization of cancer of cervical and upper thoracic regions of the esophagus, assessment of depth of tumor invasion and involvement of neighboring organs and structures in this group of patients.…”
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Graph-Based User-Centric Recommender System Using Neo4j, Cypher, and Jaccard Similarity in the Field of e-Commerce by Simona-Vasilica Oprea, Adela Bara

“…The use of graph queries allows for explainability, flexibility and improved performance compared to traditional collaborative filtering methods. Visualization with networkx further enhances transparency. …”
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Metaphorical Study on Health Management and Nutrition and Dietetics Students' Perceptions of Strategy by Gamze Aydın Toprak

“…Aim: The aim of this research is to examine the perceptions of Health Management and Nutrition and Dietetics Department students regarding the concept of strategy through metaphors. Method: A total of 91 students studying in the fall semester of the 2022-2023 academic year in two different undergraduate programs of a foundation university participated in the research. …”
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Efficient fault diagnosis in rolling bearings lightweight hybrid model by Peng Yang, Bozheng Zhang, Jianda Zhao

“…Through dimensionality reduction and visualization analysis using the t-SNE method, the effectiveness of different network structures within the proposed TSL-Transformer model is elucidated.…”
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Deep learning-based prediction of atrial fibrillation from polar transformed time-frequency electrocardiogram. by Daehyun Kwon, Hanbit Kang, Dongwoo Lee, Yoon-Chul Kim

“…In this study, we investigated a novel method for visualizing ECG signals using polar transformations of short-time Fourier transform (STFT) spectrograms and evaluated the performance of deep convolutional neural networks (CNNs) in predicting atrial fibrillation from these polar transformed spectrograms. …”
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Infectious endocarditis course after ascending aorta replacement with a valved conduit by N. A. Morova, V. N. Tsekhanovich

“…To demonstrate the peculiarities of infectious endocarditis course in patients after ascending aorta replacement using a valved conduit based on the personal observations.Material and methods. Six cases of delayed infectious endocarditis after ascending aorta replacement using a valved conduit are presented.Results. …”
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Risk-based multi-hazard microzonation for earthquakes and tsunamis by Katsuichiro Goda, Patricio A. Catalan

“…Conventional single-hazard (seismic or tsunami) mapping methods are not effective in addressing this research gap because the individual hazard effects cannot be combined directly. …”
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Evaluation of liver fibrosis in HCV-infected patients using two-dimensional shear-wave elastography (2D-SWE) before and after antiviral treatment by Inglot Marcin, Pozowski Patryk, Misiak Paula, Fleischer-Stępniewska Katarzyna, Lewandowski Łukasz, Bilski Mateusz, Zaleska-Dorobisz Urszula

“…Among non-invasive options, one of the most recent methods is two-dimensional shearwave elastography, which allows real-time visualization of liver stiffness. …”
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Modified iris system: initial experience with a new technology for safety in hiatal surgery in pediatric patients by Joel Cazares, Eduardo De la Rosa-Bustamante, Jorge Colín-Garnica, Arturo Guillen-Cárdenas, Marbella Sepulveda-Valenzuela, Miguel Torres-Salas, Jorge Alberto Cantú-Reyes

“…Methods: A retrospective, experimental study from April to June 2023 including patients with Gastroesophageal Reflux Disease (GERD). …”
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Modeling of Tunnel Concrete Lining under Fire and Explosion Damage by Zhaopeng Yang, Linbing Wang, Zhifei Gao

“…These findings also provide a potential method for further study of the damage assessment for entire tunnel lining structures.…”
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Study on College English Online Teaching Model in Mixed Context Based on Genetic Algorithm and Neural Network Algorithm by Xiaoxia Ma

“…The traditional college English classroom teaching evaluation is mainly carried out through questionnaires and scales, but this method is time-consuming and laborious, inevitably introduces subjective errors, and reduces the accuracy and credibility of the evaluation results. …”
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Représentation surfacique d'évènements ponctuels discrets. Comparaison méthodologique à partir de l'exemple des accidents de la route dans la C.U.D.L. by Arnaud Banos, Jérome Bolot

“…Spatial point pattern analysis of large data sets involves powerful visualization techniques. This paper intends to present two suitable methods : the first one is based on kernel density estimation technique, while the second uses regular grid of quadrats superimposed on the event distribution. …”
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Feasibility, Accuracy, and Reproducibility of Aortic Valve Sizing for Transcatheter Aortic Valve Implantation Using Virtual Reality by Dominika Kanschik, Jafer Haschemi, Houtan Heidari, Kathrin Klein, Shazia Afzal, Oliver Maier, Kerstin Piayda, Stephan Binneboesssel, Goeksen Oezaslan, Raphael R. Bruno, Gerald Antoch, Artur Lichtenberg, Felix Fleissner, Maximillian Scherner, Malte Kelm, Tobias Zeus, Christian Jung

“…Methods and Results Based on the preprocedural multislice computed tomography data, 3mensio measurements and 3D visualizations and measurements using VR software were performed retrospectively on 60 consecutive patients who underwent transcatheter aortic valve implantation at our heart center. …”
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Processing of Eddy Current Infrared Thermography and Magneto-Optical Imaging for Detecting Laser Welding Defects by Pengyu Gao, Xin Yan, Jinpeng He, Haojun Yang, Xindu Chen, Xiangdong Gao

“…For the acquired MO images of welding cracks, pits, incomplete fusions, burn-outs, and weld bumps, the MO image processing method that includes median filtering, histogram equalization, and Wiener filtering was used, which could eliminate the noise in an image, enhance its contrast, and highlight the weld defect features. …”
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Solution Space Analysis for Robust Conceptual Design Solutions in Aeronautics by Vladislav T. Todorov, Dmitry Rakov, Andreas Bardenhagen

“…In this context, the next developmental milestone of the Advanced Morphological Approach (AMA) as a conceptual aircraft design method is presented by introducing design parameter uncertainties for disruptive technologies. …”
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Subacromial-First Approach to Minimize Infraspinatus Damage for Massive Rotator Cuff Tears Repair by Wittawat Boonyanuwat, M.D., Chatchavan Charoenthamruksa, M.D., Adisak Nartthanarung, M.D., Pinkawas Kongmalai, M.D.

“…Future studies comparing outcomes, such as functional recovery and retear rates, with conventional intra-articular techniques are warranted to further validate this subacromial-first method.…”
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Study of purinosome assembly in cell-based model systems with de novo purine synthesis and salvage pathway deficiencies. by Veronika Baresova, Vaclava Skopova, Olga Souckova, Matyas Krijt, Stanislav Kmoch, Marie Zikanova

“…<h4>Conclusion</h4>In conclusion, both methods are useful for the detection of purinosomes in HeLa cells. …”
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Long-Term, Multivariate Time Series Generation With the Capture of Intervariate Correlations and Variatewise Characteristics by Kasumi Ohno, Kohei Makino, Makoto Miwa, Yutaka Sasaki

“…Recently, generative approaches to TSG have been explored for applications such as privacy protection, anomaly detection, and time series classification/forecasting. Since existing TSG methods, particularly Generative Adversarial Networks (GANs)-based methods, focus on modeling long-term time series and capturing intervariate correlations, they often struggle to adequately capture the characteristics of each variate, such as specific patterns of waveforms. …”
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