Predicting patients with septic shock and sepsis through analyzing whole-blood expression of NK cell-related hub genes using an advanced machine learning framework by Chao Du, Chao Du, Chao Du, Stephanie C. Tan, Stephanie C. Tan, Heng-Fu Bu, Heng-Fu Bu, Saravanan Subramanian, Saravanan Subramanian, Hua Geng, Hua Geng, Xiao Wang, Xiao Wang, Hehuang Xie, Xiaowei Wu, Tingfa Zhou, Ruijin Liu, Zhen Xu, Bing Liu, Xiao-Di Tan, Xiao-Di Tan, Xiao-Di Tan

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Chemical Equilibrium and Energy Consumption Analysis on Biomass and Iron Oxides Direct Reduction Ironmaking Process by Guanyong Sun, Chihao Guo, Hui Ma, Wenlong Xu, Le Wang

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E-learning success evaluation in Lebanon during wartime: An extension of Delone and McLean IS success model [version 1; peer review: 2 approved] by Elie Yammine, Layal Rabih

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Insights into landslide susceptibility: a comparative evaluation of multi-criteria analysis and machine learning techniques by Zuleide Ferreira, Bruna Almeida, Ana Cristina Costa, Manoel do Couto Fernandes, Pedro Cabral

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Where to act, when to think, and how to feel: The ABC + model of learning engagement and its relationship to the components of academic performance by Eric T. McChesney, Christian D. Schunn, Linda DeAngelo, Erica McGreevy

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Physical education and sport activity assessment tool-based machine learning predictive analysis for planification of training sessions by Mohamed Rebbouj, Said Lotfi

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A Novel Model for Predicting PM2.5 Concentrations Utilizing Graph Convolutional Networks and Transformer by Yuan Huang, Feilong Han, Qimeng Feng

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Optimizing the single-step model for predicting fumonisins resistance in maize hybrids accounting for the genotype-by-environment interaction by Jeniffer Santana Pinto Coelho Evangelista, Jeniffer Santana Pinto Coelho Evangelista, Kaio Olimpo das Graças Dias, Maria Marta Pastina, Saulo Chaves, Lauro José Moreira Guimarães, Jorge Hidalgo, Julian Garcia-Abadillo, Julian Garcia-Abadillo, Reyna Persa, Valéria Aparecida Vieira Queiroz, Dagma Dionísia da Silva, Leonardo Lopes Bhering, Diego Jarquin

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Prediction of teaching quality in the context of smart education: application of multimodal data fusion and complex network topology structure by Chunzhong Li, Chenglan Liu, Wenliang Ju, Yuanquan Zhong, Yonghui Li

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Identifying breast cancer risk factors and evaluating biennial mammography screening efficacy using big data analysis in Taiwan by Chi-Cheng Huang, Tzu-Pin Lu, Yu-Jen Wang, Bo-Fang Chen, Hui-Ting Yang, Wei-Pin Chang, Ling-Ming Tseng

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Dynamic prediction of whole CO2 flooding development process in low permeability reservoirs by WANG Yanwei, LIN Lifei, WANG Hengli

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Triple Validation of Calibrated Building Energy Models with Different Air Infiltration Values by Gabriela Bastos Porsani, Juan Bautista Echeverría Trueba, Carlos Fernández Bandera

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Interstitial lung disease in patients with systemic scleroderma: approaches to predicting lesion volume by D. V. Khorolsky, A. A. Klimenko, E. S. Pershina, N. M. Babadaeva, A. A. Kondrashov, N. A. Shostak, E. P. Mikheeva, M. P. Mezenova, E. V. Zhilyaev

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Investigating Variables Predicting Environmental Awareness in the Context of Education for Sustainable Development: An Analysis Based on TIMSS 2019 Data by Neslihan Üstün, Mustafa Ürey

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Applying machine learning to predict bowel preparation adequacy in elderly patients for colonoscopy: development and validation of a web-based prediction tool by Jianying Liu, Wei Jiang, Yahong Yu, Jiali Gong, Guie Chen, Yuxing Yang, Chao Wang, Dalong Sun, Xuefeng Lu

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2LE-BO-DeepTrade: an integrated deep learning framework for stock price prediction by Zinnet Duygu Akşehir, Erdal Kılıç

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Models for the study of prospects for the development of the aviation industry by Д. Тарасьонок, Т. Ліхоузова

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The low-carbon development path of the civil aviation industry based on the LEAP model by Ziruo Jia, Junnan Shen

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The role of academic achievement in mathematically predicting licensure examination for teachers outcomes: Insights from secondary education graduates by Rodillo Makiling, Christian G. Abalos, Ma. Leah I. Abad, Jomar C. Cabuquin

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A data driven model-free predictive current control for grid-connected inverters by Jindong YANG, Xiran ZHANG, Zeyu YANG, Fei RONG

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