An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM by Zhen Chen, ZhenWan Li, Jia Huang, ShengZheng Liu, HaiXia Long

“…Existing methods for anomaly detection in the IIoT often fall short when dealing with data imbalance, and the huge amount of IIoT data makes feature selection challenging and computationally intensive. In this paper, we propose an optimal deep learning model for anomaly detection in IIoT. …”
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A Hybrid Deep Learning–Based Feature Selection Approach for Supporting Early Detection of Long-Term Behavioral Outcomes in Survivors of Cancer: Cross-Sectional Study by Tracy Huang, Chun-Kit Ngan, Yin Ting Cheung, Madelyn Marcotte, Benjamin Cabrera

“…There is a need for better computational methods to handle and predict these outcomes so that physicians and health care providers can implement preventive treatments. …”
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Pectoral muscle area index is an independent protective factor for mortality in sepsis patients: a retrospective observational study by Xin Li, Meijiao Li, Yongchang Sun, Qingtao Zhou

“…Pectoral muscle area and density were measured in patients who underwent pulmonary computed tomography within ±3 days of admission. Univariate and multivariable factors associated with 28-day mortality were evaluated via Cox regression analysis. …”
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Sort & Slice: a simple and superior alternative to hash-based folding for extended-connectivity fingerprints by Markus Dablander, Thierry Hanser, Renaud Lambiotte, Garrett M. Morris

“…Scientific contribution A general mathematical framework for the vectorisation of structural fingerprints called substructure pooling; and the technical description and computational evaluation of Sort & Slice, a conceptually simple and bit-collision-free method for the pooling of ECFP substructures that robustly and markedly outperforms classical hash-based folding at molecular property prediction.…”
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Development of a power model for large wave gear toothing by V. N. Strelnikov, A. I. Voloshin, M. G. Sukov

“…The development of computational-and-experimental methods for evaluating the force distribution pattern across the width of the toothed rim and in the circumferential direction of the toothing of a large wave gear is considered. …”
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Impact of Digital Divide on The Growth and Development of Small and Medium Enterprises in Kabale District: A Case Study of Kigezi Private Sector Promotion Centre Limited. by Kembabazi, Evaline

“…It was also found that the Misplacement of digitally generated files followed by Failure to provide some services like computer training, refresher pieces of training, Attacks from viruses and Trojans, creates overall poor service delivery of the records facility, Inadequate supply of computers, Installation of outdated records management programmes like windows XP was at and to a small extent, respondents identified Client dissatisfaction as in accounting for District materials. …”
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Design of a multi-Epitope mRNA vaccine against Brucella type IV secretion system using reverse vaccinology and immunogenicity approaches by Jia-Rui Luo, Xin-Xin Qi, Ting-Ting Tian, Kai-Yu Shang, Hui-Dong Shi, Chuang Li, Zheng-Long Chai, Jian-Bing Ding, Yue-Jie Zhu, Feng-Bo Zhang

“…Molecular dynamics simulations confirmed stable interactions between the vaccine and TLR4, with a docking score of − 350.15. Furthermore, computer cloning methods were employed alongside simulated gel electrophoresis to ensure a comprehensive evaluation of the vaccine’s properties. …”
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A case of delayed perforation after cold snare polypectomy treated conservatively by endoscopic clip closure by Toshifumi Iida, Yohei Minato, Susumu Banjoya, Tomoya Kimura, Koichi Furuta, Shinya Nagae, Yohei Ito, Hiroshi Yamazaki, Nao Takeuchi, Shunya Takayanagi, Yuki Kano, Takashi Sakuno, Kohei Ono, Ken Ohata

“…Abdominal contrast‐enhanced computed tomography confirmed the presence of free air in the abdomen. …”
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Enhancing patient care: a multimodality strategy for dilated cardiomyopathy in Chagas disease by Luigy Vasquez-Yeng, Juan Jose Hernandez-Ruiz, Mauricio Garcia-Cardenas, Raul Velazquez-Castañeda, Santiago Luna-Alcala, Pavel Martinez-Dominguez, Enrique C. Guerra, José Armendariz-Ferrari, Nilda Espinola-Zavaleta

“…A 58-year-old male patient from Peru with chronic dilated cardiomyopathy underwent evaluation at a tertiary care hospital. Given the uncertain etiology, a comprehensive diagnostic approach was adopted, emphasizing the pivotal role of cardiovascular magnetic resonance imaging and computed tomography angiography in managing chronic cardiomyopathy of Chagas disease. …”
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Comprehensive Diagnostic Approach to Head and Neck Masses by Raisa Chowdhury, Sena Turkdogan, Raihanah Alsayegh, Hamad Almhanedi, Dana Al Majid, Gabriella Le Blanc, George Gerardis, Lamiae Himdi

“…Imaging modalities such as computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound are integral in diagnosis. …”
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Research on Multi-objective Shielding Intelligent Optimization Method Based on Non-dominated Sorting Genetic Algorithm NSGA-Ⅲ by WANG Mengqi, ZHENG Zheng, MEI Qiliang, PENG Chao, GAO Jing, ZHOU Yan

“…In addition, a realistic 3D Monte-Carlo computational model was built to rigorously evaluate the shielding effectiveness of these optimized solutions. …”

Machine learning-based pipeline for automated intracerebral hemorrhage and drain detection, quantification, and classification in non-enhanced CT images (NeuroDrAIn). by Samer Elsheikh, Ahmed Elbaz, Alexander Rau, Theo Demerath, Elias Kellner, Ralf Watzlawick, Urs Würtemberger, Horst Urbach, Marco Reisert

“…The current standard of practice includes post-operative computer tomography imaging, which is subjectively evaluated. …”
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Assessing oral surgery residents’ competencies and training needs in tomography interfaces through a usability framework by Yaren Dogan, Yigit Sirin

“…Abstract Background Cone Beam Computed Tomography (CBCT) plays a critical role in oral and maxillofacial surgery (OMFS), yet the training needs of residents regarding CBCT viewer interfaces remain underexplored. …”
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Optimal Res-UNET architecture with deep supervision for tumor segmentation by Rahman Maqsood, Fazeel Abid, Jawad Rasheed, Jawad Rasheed, Jawad Rasheed, Onur Osman, Shtwai Alsubai

“…However, optimizing U-Net variants to enhance performance and computational efficiency remains challenging.ObjectiveTo develop an optimized Residual U-Net (Res-UNET) architecture enhanced by deep supervision techniques to improve segmentation accuracy of brain tumors on MRI datasets, specifically addressing challenges of conventional segmentation methods.MethodsThe study implemented a detailed evaluation of multiple U-Net variations, including basic U-Net, Res-UNet with Autoencoder regularization, and attention-enhanced U-Net architectures. …”
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Customized e-nose sensor array configuration and VOCs pattern analysis for Cabernet Sauvignon grape post-harvest quality monitoring by Quansheng Dou, Yuchen Ning, Bingxi Chen, Guangfen Wei, Jing Liu

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Non-Intrusive Monitoring and Detection of Mobility Loss in Older Adults Using Binary Sensors by Ioan Susnea, Emilia Pecheanu, Adina Cocu, Adrian Istrate, Catalin Anghel, Paul Iacobescu

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OdNER: NER resource creation and system development for low-resource Odia language by Tusarkanta Dalai, Anupam Das, Tapas Kumar Mishra, Pankaj Kumar Sa

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FUSCANet: Enhancing Skin Disease Classification Through Feature Fusion and Spatial-Channel Attention Mechanisms by Qinyang Liu, Xuan Wang, Hongjiu Liu, Xiangzhen Zang, Lei Li, Zhanlin Ji, Ivan Ganchev

“…With the widespread application of computer vision technology in dermatology, automating skin lesion classification through computer algorithms has become a crucial method for improving diagnostic efficiency and reducing the mortality rate due to malignant skin conditions. …”
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The impact of feature selection techniques on effort‐aware defect prediction: An empirical study by Fuyang Li, Wanpeng Lu, Jacky Wai Keung, Xiao Yu, Lina Gong, Juan Li

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A Hybrid Deep Learning Framework for Early-Stage Alzheimer’s Disease Classification From Neuro-Imaging Biomarkers by Samina Akram, Muhammad Amjad Iqbal, Muhammad Rashid, Muhammad Shahid Bhatti, Benish Fida

“…These results significantly surpass those of individual architectures addressing this problem. Evaluation metrics like precision-recall and f1 score nearly approached 100% across different experiment stages. …”
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