Correcting errors in seasonal Arctic sea ice prediction of Earth system models with machine learning by Z. He, Z. He, Z. He, Y. Wang, J. Brajard, X. Wang, X. Wang, Z. Shen, Z. Shen

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Automated text processing: topic segmentation of educational texts by Marina I. Solnyshkina, Iskander E. Yarmakeev, Elzara V. Gafiyatova, Farida Kh. Ismaeva

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Predictable Variations of the Carbon Sinks and Atmospheric CO2 Growth in a Multi‐Model Framework by T. Ilyina, H. Li, A. Spring, W. A. Müller, L. Bopp, M. O. Chikamoto, G. Danabasoglu, M. Dobrynin, J. Dunne, F. Fransner, P. Friedlingstein, W. Lee, N. S. Lovenduski, W.J. Merryfield, J. Mignot, J.Y. Park, R. Séférian, R. Sospedra‐Alfonso, M. Watanabe, S. Yeager

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Risk prediction models for mortality in patients with severe pneumonia: a systematic review and meta-analysis by Xiaoyu Wang, Xiaoyu Wang, Zhenzhen Feng, Zhenzhen Feng, Zhenzhen Feng, Lu Wang, Lu Wang, Wenrui Liu, Wenrui Liu, Jiansheng Li, Jiansheng Li, Jiansheng Li

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Wind Farm Meteorological Prediction Model Based on Frequency Domain Feature Extraction Fusion Mechanism by Yichen Liao, Ziqi Gao, Xufeng Li

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Prediction model of middle school student performance based on MBSO and MDBO-BP-Adaboost method by Rencheng Fang, Tao Zhou, Baohua Yu, Zhigang Li, Long Ma, Tao Luo, Yongcai Zhang, Xinqi Liu

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Prediction of failures in the project management knowledge areas using optimized ensemble models in software companies by Lamia Berriche, Abderrazak Loulizi

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Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit by Shuxing Wei, Hongmeng Dong, Weidong Yao, Ying Chen, Xiya Wang, Wenqing ji, Yongsheng Zhang, Shubin Guo

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Edukasi Obat pada Masyarakat Bebasis Ibu Rumah Tangga Menggunakan Model Permainan Pintar dengan Obat (Piano) by Syofyan Syofyan, Dachriyanus Dachriyanus, Masrul Masrul, Rosfita Rasyid, Erizal Erizal, Hadi Ihsan, Agung Tri Sasongko

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PROFESSIONAL TEACHERS’ DEVELOPMENT OF EDUCATIONAL COMPLEXES IN THE CONDITIONS OF INTRODUCTION OF THE FEDERAL STATE EDUCATIONAL STANDARD by Elena A. Sidenko

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Demographic Factors that Predict Open University Undergraduate Students' Well-Being by Marien Alet Graham, Ishmael Magare, Irma Eloff

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Prediction of KRAS gene mutations in colorectal cancer using a CT-based radiomic model by Wenjing Wang, Qingbiao Zhang, Shimei Fan, Yuyin Wang, Xingyan Le, Min Ai, Chunqi Du, Junbang Feng, Chuanming Li

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Data‐Driven Feature Decomposition Integrated Prediction Model for Dust Concentration in Open‐Pit Mines by Shuangshuang Xiao, Jin Liu, Qing Yang, Zhiguo Chang, Yonggui Zhang

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Comparing the Effectiveness of Artificial Intelligence Models in Predicting Ovarian Cancer Survival: A Systematic Review by Farkhondeh Asadi, Milad Rahimi, Nahid Ramezanghorbani, Sohrab Almasi

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Engineered reduction of S-adenosylmethionine alters lignin in sorghum by Yang Tian, Yu Gao, Halbay Turumtay, Emine Akyuz Turumtay, Yen Ning Chai, Hemant Choudhary, Joon-Hyun Park, Chuan-Yin Wu, Christopher M. De Ben, Jutta Dalton, Katherine B. Louie, Thomas Harwood, Dylan Chin, Khanh M. Vuu, Benjamin P. Bowen, Patrick M. Shih, Edward E. K. Baidoo, Trent R. Northen, Blake A. Simmons, Robert Hutmacher, Jackie Atim, Daniel H. Putnam, Corinne D. Scown, Jenny C. Mortimer, Henrik V. Scheller, Aymerick Eudes

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Construction of a prediction model for moderate to severe perimenopausal syndrome based on machine learning algorithms by ZHANG Min, GU Tingting, GUAN Wei, LIU Xiangxiang, SHI Junyao

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Postpartum depression risk prediction using explainable machine learning algorithms by Xudong Huang, Lifeng Zhang, Chenyang Zhang, Jing Li, Chenyang Li

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Integration of deep learning and railway big data for environmental risk prediction models and analysis of their limitations by Liuhui Quan, Minjie Wang, Lyu Baihang, Zhang Ziwen, Zhang Ziwen, Zhang Ziwen

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Smart Microgrid Management and Optimization: A Systematic Review Towards the Proposal of Smart Management Models by Paul Arévalo, Dario Benavides, Danny Ochoa-Correa, Alberto Ríos, David Torres, Carlos W. Villanueva-Machado

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Study on an interpretable prediction model for pile bearing capacity based on SHAP and BP neural networks by Shunbo Li, Mingwei Hai, Qi Zhang, Bin Zhou, Miao Wang, Zhuo Zhao

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