Identification of core therapeutic targets for Monkeypox virus and repurposing potential of drugs: A WEB prediction approach. by Huaichuan Duan, Quanshan Shi, Xinru Yue, Zelan Zhang, Ling Liu, Yueteng Wang, Yujie Cao, Zuoxin Ou, Li Liang, Jianping Hu, Hubing Shi

“…Here, we first summarized and improved the open reading frame information of monkeypox, constructed the monkeypox inhibitor library and potential targets library by database research as well as literature search, combined with advanced protein modeling technologies (Sequence-based and AI algorithms-based homology modeling). …”
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Support Vector and Linear Regression Machine Learning Model on Amperometric Signals to Predict Glucose Concentration and Hematocrit Volume by Kirti Sharma, Pawan K. Tiwari, Sanjay Kumar Sinha

“…The dataset employed for this research is sourced from clinically validated electrochemical glucose sensors (commonly referred to as glucose strips). …”
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Development and evaluation of a low-cost database solution for the Community Paramedicine at Clinic (CP@clinic) database. by Ricardo Angeles, Krzysztof Adamczyk, Francine Marzanek, Melissa Pirrie, Mikayla Plishka, Gina Agarwal

“…This solution to a healthcare database is translatable to other health research studies in which ongoing patient data is collected electronically and longitudinally.…”
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The role of neurovisualization in monitoring stroke risk among athletes: a review by Bauyrzhan Omarov, Akbayan Aliyeva

“…Objective: the objective of the research was to explore the integration of advanced neuroimaging techniques and artificial intelligence to enhance early detection, longitudinal monitoring, and risk prediction of cerebrovascular events in athletic populations. …”
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Predictors of evacuation behavior: dataset on respondents’ route choice and web interaction by Dajana Snopková, Martin Tancoš, Lukáš Herman, Vojtěch Juřík

“…Abstract Empirical data on human evacuation behavior are invaluable for adjusting and training computational algorithms that simulate evacuation processes, including agent-based modeling. …”
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MENINGKATKAN PEMAHAMAN KONSEP PERSAMAAN KUADRAT MELALUI MODEL PEMBELAJARAN THINK PAIR SHARE (TPS) UNTUK SISWA KELAS X by Bella Wulandari, Tanwey Gerson Ratumanan, Darma Andreas Ngilawajan

“…Abstract IMPROVING UNDERSTANDING OF THE CONCEPT OF QUADRATIC EQUATIONS THROUGH THINK PAIR SHARE (TPS) LEARNING MODEL FOR CLASS X STUDENTS OF SMAN 13 AMBON This study aims to improve the understanding of the concept of quadratic equations by applying the Think Pair Share (TPS) learning model in class X students of SMAN 13 Ambon. The type of research used was classroom action research with data collection techniques through concept understanding tests. the subjects in this study were 30 students of class X SMAN 13 Ambon. …”
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Immersive technologies as a component of the formation of professional competencies of students in the program "Industrial and Fire safety" by E. R. Abdulina

“…Some approaches to the formation of professional competencies through optimization of decision-making algorithms, the use of information technology, improving the presentation of information by modeling emergency situations of undergraduates of the 20.04.01 direction Technosphere safety are considered.Materials and methods. …”
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When AI Becomes a Shopping Advisor: A Study on the Impact of Generative AI Review on Consumer Purchase Decision by Ke Lei, Yixuan Liu

“…This technology, grounded in big data and sophisticated machine learning algorithms, seamlessly integrates users’ historical behavior data with real-time demand information. …”
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Advancing pancreatic cancer management: the role of artificial intelligence in diagnosis and therapy by Dilber Uzun Ozsahin, Natacha Usanase, Ilker Ozsahin

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Author Correction: Considerations in the search for epistasis by Marleen Balvert, Johnathan Cooper-Knock, Julian Stamp, Ross P. Byrne, Soufane Mourragui, Juami van Gils, Stefania Benonisdottir, Johannes Schlüter, Kevin Kenna, Sanne Abeln, Alfredo Iacoangeli, Joséphine T. Daub, Brian L. Browning, Gizem Taş, Jiajing Hu, Yan Wang, Elham Alhathli, Calum Harvey, Luna Pianesi, Sara C. Schulte, Jorge González-Domínguez, Erik Garrisson, Lorentz workshop on epistasis, Michael P. Snyder, Alexander Schönhuth, Letitia M. F. Sng, Natalie A. Twine

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Analysis of Multivariate Indoor Building Data: A Comparative Study of Time-Series Clustering Methods by Quoc-Dung Ngo, Ly-Huynh Phan

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A Comparative Study of Evolutionary Strategies for Aggregation Tasks in Robot Swarms: Macro- and Micro-Level Behavioral Analysis by Paolo Pagliuca, Alessandra Vitanza

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A Study on Panoramic Camera System of ROV Platform by GUO Xu, TU Shaoping, XU Lei

“…The processing of underwater images from multiple channels necessitates adaptations to existing image processing algorithms to mitigate color cast, noisy points, and other imaging defects. …”
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Combination of Music, Artificial Intelligence, and Brainwaves for the Promotion of Mental Well-Being by Georgios Karachalios, Evina Makaroni

“…The convergence of music, neuroscience, and artificial intelligence presents a highly innovative field of research and application, with significant potential for addressing various issues related to mental health and human well-being. …”
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Clustering and Vectorizing Acoustic Emission Events of Large Infrastructures’ Normal Operation by Theocharis Tsenis, Vassilios Kappatos

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DIGITAL TWINS AND THEIR APPLIANCE IN TRANSPORT ECONOMICS by O. N. Rimskaya, I. V. Anokhov

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Stock Price Prediction Using Machine Learning: Evidence from Pakistan Stock Exchange by Zafar Akhter, Dr. Hassan Raza

“…The report additionally proposes potential avenues for future research, such as exploring alternate data sources, employing sentiment analysis techniques, and developing more advanced algorithms. …”
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Optimizing agricultural classification with masked image modeling by Ying shu Peng, Yi Wang

“…However, the utilization of popular algorithms such as vision transformers and convolutional neural networks has often fallen short in numerous agricultural classification tasks owing to the scarcity of extensively labelled data and the reliance on pretrained models trained on generic datasets. …”
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Integrating Machine Learning and Material Feeding Systems for Competitive Advantage in Manufacturing by Müge Sinem Çağlayan, Aslı Aksoy

“…This study investigates the selection of material feeding methods, including Kanban, line-storage, call-out, and kitting systems, within a manufacturing company. The research employs six machine learning (ML) algorithms—logistic regression (LR), decision trees (DT), random forest (RF), support vector machines (SVM), K-nearest neighbors (K-NN), and artificial neural networks (ANN)—to develop a multi-class classification model for material feeding system selection. …”
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RETRACTED: Geometric Construction of Video Stereo Grid Space by Huangchuang Zhang, Ruoping Shi, Ge Li

“…For this reason, the construction and digital analysis of video data space has become an urgent problem to be solved. After in-depth research, this study found that the existing video space construction methods have three shortcomings: first, the problem of high requirements for objective conditions or low accuracy; second, the lack of easy and efficient mapping algorithms from 2D video pixel coordinates to 3D; and third, the lack of efficient correlation mechanisms between video space and external geographic information, making it difficult to integrate video space with external information, and thus prevent a more effective analysis. …”
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