“Going above and beyond” for implementation in the education sector: extension and validation of the School Implementation Citizenship Behavior Scale (SICBS) by Catherine M. Corbin, Mark G. Ehrhart, Eric C. Brown, Jill Locke, Clayton R. Cook, Gregory A. Aarons, Aaron R. Lyon

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Winter Wheat SPAD Prediction Based on Multiple Preprocessing, Sequential Module Fusion, and Feature Mining Methods by Ying Nian, Xiangxiang Su, Hu Yue, Sumera Anwar, Jun Li, Weiqiang Wang, Yali Sheng, Qiang Ma, Jikai Liu, Xinwei Li

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Development and validation of a nomogram for predicting postoperative fever after endoscopic submucosal dissection for colorectal lesions by Jiayu Qiu, Yanhong Xia, Yanxia Zhang, Qingping Ouyang, Liping Wang, Ruiying Ding, Xu Shu, Xiaolin Pan

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Predicting cardiac adverse events in patients receiving immune checkpoint inhibitors: a machine learning approach by Tomas G Neilan, Judith Mueller, Samuel Peter Heilbroner, Reed Few, Jitesh Chalwa, Francois Charest, Somasekhar Suryadevara, Christine Kratt, Andres Gomez-Caminero, Brian Dreyfus

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Predicting Methods for Analyzing Data on Fatal Outcome Possibility in the Combination of Acute Coronary Syndrome and Atrial Fibrillation According to the Krasnodar Region Registry by Z. G. Tatarintseva, E. D. Kosmacheva, S. V. Kruchinova, V. A. Akinshina, A. A. Khalafyan

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A Method Based on CNN–BiLSTM–Attention for Wind Farm Line Fault Distance Prediction by Ming Zhang, Qingzhong Gao, Baoliang Liu, Chen Zhang, Guangkai Zhou

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LSTM-based framework for predicting point defect percentage in semiconductor materials using simulated XRD patterns by Mehran Motamedi, Reza Shidpour, Mehdi Ezoji

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Prediction of Soil Liquefaction Using a Multi-Algorithm Technique: Stacking Ensemble Techniques and Bayesian Optimization by Long Tsang, Mahdi Akbari, Pouyan Fakharian

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Integration of Single-Cell and Bulk Transcriptome to Reveal an Endothelial Transition Signature Predicting Bladder Cancer Prognosis by Jinyu Yang, Wangxi Wu, Xiaoli Tang

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Enhancing heart disease prediction with stacked ensemble and MCDM-based ranking: an optimized RST-ML approach by T. Ashika, G. Hannah Grace

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Prediction of petrophysical properties through comparative post-stack inversion techniques using advance Neural Networking by Pal Washa Shahzad Rathore, Matloob Hussain, Muhammad Bilal Malik, Sher Afgan

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Credit Risk Prediction Using Machine Learning and Deep Learning: A Study on Credit Card Customers by Victor Chang, Sharuga Sivakulasingam, Hai Wang, Siu Tung Wong, Meghana Ashok Ganatra, Jiabin Luo

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An Association Between Product Discount, Rating and Customer Service: An Empirical Study by Adeel Ansari, Seema Ansari, Ayesha Ghayas

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Research on Fracture Energy Prediction and Size Effect of Concrete Based on Deep Learning with SHAP Interpretability Method by Huiming Wang, Weiqi Zhang, Jie Lin, Shengpin Guo

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What have we learned from long-term studies in juvenile idiopathic arthritis? – Prediction, classification, transition. by Marite Rygg, Filipa Oliveira Ramos, Ellen Berit Nordal

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Advancing the Prediction and Evaluation of Blast-Induced Ground Vibration Using Deep Ensemble Learning with Uncertainty Assessment by Sinem Bozkurt Keser, Mahmut Yavuz, Gamze Erdogan Erten

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Prediction and Fitting of Nonlinear Dynamic Grip Force of the Human Upper Limb Based on Surface Electromyographic Signals by Zixiang Cai, Mengyao Qu, Mingyang Han, Zhijing Wu, Tong Wu, Mengtong Liu, Hailong Yu

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Auto-branch multi-task learning for simultaneous prediction of multiple correlated traits associated with Alzheimer’s disease by Jiaqi Liang, Jiaqi Liang, Zhao Xue, Zhao Xue, Wenchao Zhou, Wenchao Zhou, Xiangjie Guo, Xiangjie Guo, Xiangjie Guo, Yalu Wen

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Predicting sarcopenia risk in stroke patients: a comprehensive nomogram incorporating demographic, anthropometric, and biochemical indicators by Yufan Pu, Ying Wang, Huihuang Wang, Hong Liu, Xingxing Dou, Jiang Xu, Xuejing Li

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ENHANCING 〖PM〗_(2.5) PREDICTION IN KEMAYORAN DISTRICT, DKI JAKARTA USING DEEP BILSTM METHOD by Nabila Karin, Gumgum Darmawan, Triyani Hendrawati

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