Predicting Flood Inundation after a Dike Breach Using a Long Short-Term Memory (LSTM) Neural Network by Leon S. Besseling, Anouk Bomers, Suzanne J. M. H. Hulscher

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Stable Parallel Algorithms for Interdisciplinary Computer-Based Online Education with Real Problem Scenarios for STEM Education by Liangfu Jiang, Haoran Yuan

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Health condition prediction method of the computer numerical control machine tool parts by ensembling digital twins and improved LSTM networks by Chen Guo, Yin Haifang

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Prognostic factors and prediction models for hospitalisation and all-cause mortality in adults presenting to primary care with a lower respiratory tract infection: a systematic rev... by Paul Little, Frans H Rutten, Geert-Jan Geersing, Maarten van Smeden, Roderick P Venekamp, Tamara N Platteel, Merijn H Rijk, Teun M C van den Berg

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Construction and verification of the prediction model for risk of sleep disturbance in elderly patients with hypertension: a cross-sectional survey based on NHANES database from 20... by Li-xiang Zhang, Ting-ting Wang, Ying Jiang, Shan-bing Hou, Fang-fang Zhao, Xiao-juan Zhou, Jiao-yu Cao

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A Machine Learning Free Energy Functional for the 1D Reference Interaction Site Model: Towards Prediction of Solvation Free Energy for All Solvent Systems by Jonathan G. M. Conn, Abdullah Ahmad, David S. Palmer

“…Solvation free energy (SFE) is an important thermodynamic property in characterising molecular solvation and so accurate prediction of this property is sought after. The One-Dimensional Reference Interaction Site Model (RISM) is a well-established method for modelling solvation, but it is known to yield large errors in the calculation of SFE. …”
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Platelet transfusion response in critically ill patients with thrombocytopenia: a retrospective study and predictive nomogram in a general ICU population by Hanyu Ge, Yanqing Liu, Tongyu Li, Rui Lv, Jieyi Wang, Wei You, Danni Song, Shilin Hu, Feng Zhao, Heng Fan, Dingfeng Lv

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AN ADVANCED MACHINE LEARNING (ML) ARCHITECTURE FOR HEART DISEASE DETECTION, PREDICTION AND CLASSIFICATION USING MACHINE LEARNING by Muhammad Anas, Muhammad Atif Imtiaz, Saad Khan, Arshad Ali, Noor Fatima Naghman, Hamayun Khan, Sami Albouq

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Predicting microvascular invasion in solitary hepatocellular carcinoma: a multi-center study integrating clinical, MRI assessments, and radiomics indicators by Wang Jian, Lin Zhan, Lin Zhaowang, Yang Ling, Yu Min, Yu Min, Xie Rong, Xie Rong, Lin Wanxing, Yang Yongfei, Tu Haibin

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Integrating AI-based adaptive learning into the flipped classroom model to enhance engagement and learning outcomes by Jozsef Katona, Klara Ida Katonane Gyonyoru

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Experimental Application of Predictive Controllers by C. H. F. Silva, H. M. Henrique, L. C. Oliveira-Lopes

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NETWORK COOPERATION OF EDUCATIONAL ORGANIZATIONS FOR BUILDING A CULTURE OF HEALTHY AND SAFE LIFESTYLE: THEORETICAL-METHODOLOGICAL ASPECT OF VOCATIONAL STAFF TRAINING by Tatyana N. Levan

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The Ukraine-Based Employers’ Awareness of Dual Studies and Willingness to Engage into the Implementation of Education Innovations by Olena Buchynska, Olena Davlikanova, Helmut Hofstetter, Iryna Lylyk

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¿Puede el Modelo de Educación Deportiva favorecer la igualdad de género, los procesos motivacionales y la implicación del alumnado en Educación Física? (Can the Sport Education Mo... by Rubén Llanos-Muñoz, Francisco Miguel Leo, Miguel Ángel López-Gajardo, Enrique Cano-Cañada, David Sánchez-Oliva

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A Qualitative Study on Ethics Education at Pharmacy Colleges in Japan Based on a Survey of Ethics Educators by Etsuko Arita, Yuko Masamura, Rieko Takehira

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LANGUAGE AWARENESS IN GEOGRAPHY EDUCATION: AN ANALYSIS OF THE POTENTIAL OF BILINGUAL GEOGRAPHY EDUCATION FOR TEACHING GEOGRAPHY TO LANGUAGE LEARNERS by Michael Morawsk, Alexandra Budke

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LANGUAGE AWARENESS IN GEOGRAPHY EDUCATION: AN ANALYSIS OF THE POTENTIAL OF BILINGUAL GEOGRAPHY EDUCATION FOR TEACHING GEOGRAPHY TO LANGUAGE LEARNERS by Michael Morawsk, Alexandra Budke

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Steiner eccentricity: Predictions and applications by Xingfu Li, Zongbo Yang, Siyi Lin, Jialu Wang

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EVALUATION OF THE RELATIONSHIP BETWEEN SPRAY LIQUID PRESSURE AND MACHINE SPEED USING THREE TYPES OF NOZZLES ON A BOOM SPRAYER by G. Tihanov, G. Hristova, P. Veleva

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Machine learning as a tool for diagnostic and prognostic research in coronary artery disease by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, V. Yu. Rublev

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