Árbitro asistente de vídeo en Twitter: un análisis del sentimiento de los fans basado en la minería de textos (Video assistant referee on Twitter: a text-mining-based analysis of f... by Israel Villarrasa-Sapiña, Frank Espinosa Cabezas, Gonzalo Monfort-Torres

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Intraoperative hypotension prediction in cardiac and noncardiac procedures: is HPI truly worthwhile? A systematic review and meta-analysis by Erfan Shirmohamadi, Reza Hosseini Dolama, Narjes Mohammadzadeh, Navid Ebrahimi, Negar Ghasemloo

“…The Hypotension Prediction Index (HPI), a machine-learning algorithm developed by Edwards Lifesciences, aims to predict IOH by analyzing real-time arterial waveform data, offering an opportunity for proactive management. …”
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Identifying characteristics of patients requiring proactive pharmaceutical interventions in the recovery period and assessing the effect of rehabilitation and drugs: a retrospectiv... by Megumi Yahara-Hotta, Tomoyuki Ogino, Kisako Higa, Moka Yamakawa, Toshiyuki Shikata, Yoshihiro Kanata, Kenji Ikeda, Atsushi Kinoshita

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Care for Pediatric Patellofemoral Instability Prior to Orthopaedic Referral by Emily Qian, MS, Ally A. Yang, MD, Halle Freiman, MD, MS, Corinna Franklin, MD

“…Key Concepts: (1) Identifying clinician groups referring to orthopaedic practices for pediatric patellofemoral instability (PFI) events. (2) Describing evaluations and treatments pursued by clinicians for pediatric PFI events prior to orthopaedic referral. (3) Algorithm-based approaches are more adherent to current proposed pediatric PFI management guidelines. (4) Education of referring clinicians may help to improve surgical outcomes. …”
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Current status and influencing factors of pelvic floor muscle training adherence in rectal cancer patients with prophylactic ostomy by LIU Na, PI Hongying, GAO Na

“…Results‍　‍The overall PFMT adherence score was 14.52±4.18 among the 247 patients. The random forest algorithm identified 7 key predictors when the minimum error was achieved at a λ value of 2.293. …”
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Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence by Manohar Pavanya, Krishnaraj Chadaga, Vennila J, Akhila Vasudeva, Bhamini Krishna Rao, Srikanth Prabhu, Shashikala K Bhat

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A Next-generation Exoplanet Atmospheric Retrieval Framework for Transmission Spectroscopy (NEXOTRANS): Comparative Characterization for WASP-39 b Using JWST NIRISS, NIRSpec PRISM,... by Tonmoy Deka, Tasneem Basra Khan, Swastik Dewan, Priyankush Ghosh, Debayan Das, Liton Majumdar

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Semantic influence of programming on the development of thinking of students: background, research and prospects by M. U. Mukasheva, Y. V. Payevskaya

“…Papert), elements of the theory of computation, theory of algorithms and programming (D. Fink, D. Knut, N. Wirth and others).The empirical data on the study of the semantic influence of programming on the development of mental abilities of primary school students in the process of learning programming (Scratch) were obtained using a specially developed technique (framework) for studying the dynamics of the development of computational thinking. …”
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A Fully Integrated Orthodontic Aligner With Force Sensing Ability for Machine Learning‐Assisted Diagnosis by Hao Feng, Wenhao Song, Ruyi Li, Linxin Yang, Xiaoxuan Chen, Jiajun Guo, Xuan Liao, Lei Ni, Zhou Zhu, Junyu Chen, Xibo Pei, Yijun Li, Jian Wang

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Integrating artificial intelligence in healthcare: applications, challenges, and future directions by Peng Lean Chong, Vikneswaran Vaigeshwari, Basir Khan Mohammed Reyasudin, binti Ros Azamin Noor Hidayah, Purnshatman Tatchanaamoorti, Jian Ai Yeow, Feng Yuan Kong

“…Despite these advancements, AI integration faces challenges related to data privacy, algorithm bias, and regulatory concerns. …”
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Estimation and trend analysis of grassland aboveground biomass on the Qinghai-Xizang Plateau based on machine learning by Ruoqi Zhang, Qisheng Feng, Yonghui Zhang, Jingjing Mai, Tiangang Liang

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Enhancing Healthcare With WBAN and Digital Twins: A Machine Learning Approach for Predictive Health Monitoring by Rishit Mahapatra, Deepak Sethi, Kaushik Mishra

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A Novel Method for Describing Texture of Scar Collagen Using Second Harmonic Generation Images by Guannan Chen, Gaoqiang Liu, Xiaoqin Zhu, Mingyu Liu, Encai Zhang, Jichun Li, Kun Zhang, Lihang Lin

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Image Compression Using Walsh Functions by A. A. Budzko, T. N. Dvornikova, E. A. Misulin, R. U. Snapko

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CORRECTION OF DEPENDENT ERRORS BY THE TURBOcodec based ON ATTACHED evenly convolutional codes by E. G. Makeichik, A. I. Korolev, V. K. Kanapelka

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Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements by Raghavendra M Devadas, Sowmya T

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Impact of dimensionality reduction techniques on student performance prediction using machine learning by Koushik Roy, Huu-Hoa Nguyen, Dewan Md. Farid

“… This study addresses the crucial issue of predicting student performance in educational data mining (EDM) by proposing an Adaptive Dimensionality Reduction Algorithm (ADRA). …”
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Automated Text Structuring: Natural Language Processing and Regular Expressions in XML Tag Filling by Ivan P. Malashin, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin

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Contextual information based anomaly detection for multi-scene aerial videos by Girisha S, Ujjwal Verma, Manohara M M. Pai, Radhika M. Pai

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Efficacy of drugs most commonly prescribed at functional gastrointestinal diseases (functional dyspepsia syndrome and irritable bowel syndrome) observational study results by V. T. Ivashkin, Ye. A. Poluektova, D. V. Reykhart, O. S. Shifrin, A. G. Beniashvili, O. S. Lyashenko, A. V. Belostotsky

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