Developing and validating a nomogram prediction model for osteoporosis risk in the UK biobank: a national prospective cohort by Xinning Tong, Shuangnan Cui, Huiyong Shen, Xiaoxin Iris Yao

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Comparative Study on Artificial Fracture Modeling Schemes in Tight Reservoirs—For Enhancing the Production Efficiency of Tight Oil and Gas by Yonggang Wang, Xuejuan Zhang, Jie Zhang, Yali Zeng, Lei Zhang, Han Wang, Ruolin Li

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Risk Prediction Model for Elderly Differentiated Thyroid Cancer Based on Combined Sleep Quality Assessment and Multimodal Ultrasound by Xudan Lou, Na Yi, Yingchun Liu, Yuanyuan Xu, Jieyuzhen Qiu, Xiaoming Tao, Zhijun Bao

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The Impact of Wave Prediction Uncertainty on the Control of a Multi-Axis Wave Energy Converter by Carrie Hall, Yueqi Wu, Igor Rizaev, Wanan Sheng, Robert Dorrell, George Aggidis

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Wind power prediction using stacking and transfer learning by Xu Cheng, Yu Cao, Zhiyuan Song, Chenguang Zhang

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Risk prediction models for permanence of temporary stoma after radical surgery of rectal cancer: a systematic review by Wenjing Tan, Shiyin Cai, Juanqin Wu, Wenke Wu, Shan Wang, Yaqiu Li, Lulu Liu, Liping Tang, Ying Cao

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Protein homodimers structure prediction based on deep neural network by A. Y. Hadarovich, A. A. Kalinouski, A. V. Tuzikov

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Weakly supervised veracity classification with LLM-predicted credibility signals by João A. Leite, Olesya Razuvayevskaya, Kalina Bontcheva, Carolina Scarton

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Student academic performance prediction via hypergraph and TabNet by Yisheng Yang, Shiyu Zhao, Sufang An, Xiaoyong Li, Yong Zhang

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Distribution‐Based Model Evaluation and Diagnostics: Elicitability, Propriety, and Scoring Rules for Hydrograph Functionals by Jasper A. Vrugt

“…Case in point is the so‐called KG efficiency (KGE) of Gupta et al. (2009, https://doi.org/10.1016/j.jhydrol.2009.08.003) and improvements thereof (Lamontagne et al., 2020, https://doi.org/10.1029/2020wr027101), which have rapidly gained popularity among hydrologists as alternative scoring functions to the commonly used Nash and Sutcliffe (1970, https://doi.org/10.1016/0022‐1694(70)90255‐6) efficiency, but are equally exclusive in how they quantify model performance using only single‐valued output of the quantities of interest. …”
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Screening of glioma susceptibility SNPs and construction of risk models based on machine learning algorithms by Mingjun Hu, Jie Hao, Jie Wei

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IPSA: A Multi-View Perception Model for Information Propagation in Online Social Networks by Huiyu Min, Jiuxin Cao, Tao Zhou, Qing Meng

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Revolutionizing Chinese medicine granule placebo with a machine learning four-color model by Tingting Teng, Jingze Zhang, Peiqi Miao, Lipeng Liang, Xinbo Song, Dailin Liu, Junhua Zhang

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Precise multi-factor immediate implant placement decision models based on machine learning by Guanqi Liu, Shudan Deng, Runzhong Liu, Yuanxiang Liu, Quan Liu, Shiyu Wu, Zhuofan Chen, Runheng Liu

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LAMARS: Large Language Model-Based Anticipation Mechanism Acceleration in Real-Time Robotic Systems by Yifang Gao, Wei Luo, Xuye Wang, Shunshun Zhang, Patrick Goh

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Modeling of wave-induced drift based on stepwise parameter calibration by Kui Zhu, Xueyao Chen, Lin Mu, Lin Mu, Lin Mu, Dingfeng Yu, Dingfeng Yu, Runze Yu, Zhaolong Sun, Tong Zhou, Tong Zhou

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Comparison of Mortality Prediction Between the Model for End-Stage Liver Disease-3.0 (MELD-3.0) and the Model for End-Stage Liver Disease-Lactate (MELD-La) in Korean Patients with... by Seung-Kang Yoo, Jeong-Han Kim, Won-Hyeok Choe, So-Young Kwon

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AUTOMATED WATER MANAGEMENT SYSTEM WITH AI-BASED DE-MAND PREDICTION by Arman Mohammad Nakib

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Indonesian Banking Stock Portfolio Optimization Based on Ridge Regression Prediction by Moch Panji Agung Saputra, Deva Putra Setyawan, Alim Jaizul Wahid

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Ephemeral gullies. A spatial and temporal analysis of their characteristics, importance and prediction by Jeroen Nachtergaele, Jean Poesen, Gerard Govers

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