Radiomics-based machine-learning method to predict extrahepatic metastasis in hepatocellular carcinoma after hepatectomy: a multicenter study by Ying He, Bingzi Dong, Bin Hu, Xiwei Hao, Nan Xia, Chuncheng Yang, Qian Dong, Chengzhan Zhu

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An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study by Julia Thomas, Antonia Lucht, Jacob Segler, Richard Wundrack, Marcel Miché, Roselind Lieb, Lars Kuchinke, Gunther Meinlschmidt

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Numerical Simulation of Turbulent Flow in River Bends and Confluences Using the k-ω SST Turbulence Model and Comparison with Standard and Realizable k-ε Models by Rawaa Shaheed, Abdolmajid Mohammadian, Alaa Mohammed Shaheed

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A simple yet effective approach for predicting disease spread using mathematically-inspired diffusion-informed neural networks by ByeongChang Jeong, Yeon Ju Lee, Cheol E. Han

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Development of a Multi‐Scale Meteorological Large‐Eddy Simulation Model for Urban Thermal Environmental Studies: The “City‐LES” Model Version 2.0 by Hiroyuki Kusaka, Ryosaku Ikeda, Takuto Sato, Satoru Iizuka, Taisuke Boku

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Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework by Ruize Gao, Shaoze Cui, Yu Wang, Wei Xu

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Assessing the robustness of VIS-NIR spectroscopy-based soil organic carbon prediction against four wet chemistry methods by Cho-Yin Wu, Po-Hui Wu, Zeng-Yei Hseu

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Predicting a failure of postoperative thromboprophylaxis in non-small cell lung cancer: A stacking machine learning approach. by Ligang Hao, Junjie Zhang, Yonghui Di, Zheng Qi, Peng Zhang

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Factors Influencing Sport Persistence Along the Socio-Ecological Model—A Presentation of Sport Persistence Models Based on the Findings of a Representative Hungarian Sample by Karolina Eszter Kovács

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MRI-Based Model for Personalizing Neoadjuvant Treatment in Breast Cancer by Wen Li, Natsuko Onishi, Jessica E. Gibbs, Lisa J. Wilmes, Nu N. Le, Pouya Metanat, Elissa R. Price, Bonnie N. Joe, John Kornak, Christina Yau, Denise M. Wolf, Mark Jesus M. Magbanua, Barbara LeStage, Laura J. van ’t Veer, Angela M. DeMichele, Laura J. Esserman, Nola M. Hylton

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An optimization protocol for MRI examination resource allocation based on demand forecasting and linear programming by Zhongbin Zhou, Hanyu Zhou, Yuanyuan Qiao, Zihan Gao, Ying Yang

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CRITERION FOR IDENTIFICATION OF THE PROBABILITY MODEL OF THE STATE OF SATELLITE COMMUNICATION CHANNELS by G. I. Linets, S. V. Melnikov

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PREDICTION OF THE POOR RATE K-MEANS AND GENERALIZED REGRESSION NEURAL NETWORK ALGORITHMS (CASE STUDY: NORTH SUMATRA PROVINCE) by Nita Suryani, Arnita Arnita, Rinjani Cyra Nabila, Amanda Fitria

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iProtDNA-SMOTE: Enhancing protein-DNA binding sites prediction through imbalanced graph neural networks. by Ruiyan Huang, Wangren Qiu, Xuan Xiao, Weizhong Lin

“…We propose a method called iProtDNA-SMOTE, which utilizes non-equilibrium graph neural networks along with pre-trained protein language models to predict DNA binding residues. This approach effectively addresses the class imbalance issue in predicting protein-DNA binding sites by leveraging unbalanced graph data, thus enhancing model's generalization and specificity. …”
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Spatio-Temporal Prediction of Surface Remote Sensing Data in Equatorial Pacific Ocean Based on Multi-Element Fusion Network by Tianliang Xu, Zhiquan Zhou, Chenxu Wang, Yingchun Li, Tian Rong

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Predicting 30-day in-hospital mortality in ICU asthma patients: a retrospective machine learning study with external validation by Yuanshuo Ge, Guangdong Wang, Tingting Liu, Wenwen Ji, Jiaolin Sun, Yaxin Zhang

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A comparative study between LSSVM, LSTM, and ANN in predicting the unconfined compressive strength of virgin fine-grained soil by Jitendra Khatti, Kamaldeep Singh Grover, Pijush Samui

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Exploring the future of privacy-preserving heart disease prediction: a fully homomorphic encryption-driven logistic regression approach by Vankamamidi S. Naresh, Sivaranjani Reddi

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Prediction of electricity carbon emission peak in intelligent buildings with discrete second-order differential and time-sharing carbon measurement by Chao Wang, Yongliang Zhao, Hong Yan, Xi Jiang, Qi Kang, Junchao Zhou

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Prediction of bone metastasis of prostate cancer based on intratumoral and peritumoral radiomics of MRI T2WI combined with ADC images by Shiqian Lin, Shiqian Lin, Pingping He, Ruixiong You

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