Towards interpretable drug interaction prediction via dual-stage attention and Bayesian calibration with active learning by Rongpei Li, Yufang Zhang, Heqi Sun, Shenggeng Lin, Guihua Jia, Yitian Fang, Chen Zhang, Xiaotong Song, Jianwei Zhao, Lyubin Hu, Yajing Yuan, Xueying Mao, Jiayi Li, Aman Kaushik, Dandan An, Dongqing Wei

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Rapid assessment of seismic performance for multi-story RC frame buildings using direct prediction method by Xin Chen, Haojie Hu, Wenwei Fu, Tao Liu, Yong Sun, Cong Liu

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Formation Mechanism and Prediction Method for the Permian Fused Breccia Tuff Reservoir, Wuxia Region, Junggar Basin by Duonian Xu, Jianguo Pan, Shuxin Pan, Bin Gao, Lu Yin, Yongqiang Qu, Lei Zhang

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Can Obstetric Risk Factors Predict Fetal Acidaemia at Birth? A Retrospective Case-Control Study by Habiba Kapaya, Roslyn Williams, Grace Elton, Dilly Anumba

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Simplifying Field Traversing Efficiency Estimation Using Machine Learning and Geometric Field Indices by Gavriela Asiminari, Lefteris Benos, Dimitrios Kateris, Patrizia Busato, Charisios Achillas, Claus Grøn Sørensen, Simon Pearson, Dionysis Bochtis

“…The gradient-boosting regression-based model was the most effective, achieving a high mean <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula> value of 0.931 in predicting field efficiency, by taking into account only basic geometric field indices. …”
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Relevance of prediction scores derived from the SARS-CoV-2 first wave, in the evolving UK COVID-19 second wave, for safe early discharge and mortality: a PREDICT COVID-19 UK prospe... by Rigers Cama, Rama Vancheeswaran, Tejal Vaghela, Harry Mitchell, Miriam Schechter, Andrew Barlow, Michael Shaw, William Evans, Hakim Ghani, Alessio Navarra, Phyoe K Pyae, Ben Critchlow, Nazril Nordin

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Machine learning-assisted quantitative prediction of thermal decomposition temperatures of energetic materials and their thermal stability analysis by Zhi-xiang Zhang, Yi-lin Cao, Chao Chen, Lin-yuan Wen, Yi-ding Ma, Bo-zhou Wang, Ying-zhe Liu

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Predicting receptor-ligand pairing preferences in plant-microbe interfaces via molecular dynamics and machine learning by Erica T. Prates, Omar Demerdash, Manesh Shah, Tomás A. Rush, Udaya C. Kalluri, Daniel A. Jacobson

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Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning by Sarah Nawoya, Quentin Geissmann, Henrik Karstoft, Kim Bjerge, Roseline Akol, Andrew Katumba, Cosmas Mwikirize, Grum Gebreyesus

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Validation of Risk Scoring Systems in Predicting Adverse Cardiac Outcomes in Pregnant Women With Valvular Heart Disease by Malini Sukayogula, Tarakeswari Surapaneni, Anish Keepanasseril, Jue Li, Yang Pan

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Emergent Anthropometric Indices in Differential Prediction of Prehypertension and Hypertension in Mexican Population: Results according to Age and Sex by Oscar Zaragoza-García, Ilse Adriana Gutiérrez-Pérez, Pedro Delgado-Floody, Isela Parra-Rojas, Daniel Jerez-Mayorga, Christian Campos-Jara, Iris Paola Guzmán-Guzmán

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Kalman filtering assimilated machine learning methods significantly improve the prediction performance of water quality parameters by Zhenyu Gao, Guoqiang Wang, Jinyue Chen, Lei Fang, Shilong Ren, A. Yinglan, Shuping Ji, Ruobing Liu, Qiao Wang

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Predictive value of resting-state fMRI graph measures in hypoxic encephalopathy after cardiac arrest by Puck Lange, Marlous Verhulst, Anil Man Tuladhar, Prejaas Tewarie, Hanneke Keijzer, Catharina J.M. Klijn, Cornelia Hoedemaekers, Michiel Blans, Bart Tonino, Frederick J.A. Meijer, Rick C. Helmich, Jeannette Hofmeijer

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Urinary DcR2/Cr level predicts renal outcomes in patients with diabetic kidney disease by Jia Chen, Weidong Wang, Fang Yu, Xiaoyue Wang, Yani He, Kehong Chen

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Enhanced Prediction of California Bearing Ratio (CBR) Values in Geotechnical Engineering Using Decision Tree Algorithm and Meta-Heuristic Optimizations by Linda Davies, Dominik Jánošík

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SWAT‐Based Hydrological Data Assimilation System (SWAT‐HDAS): Description and Case Application to River Basin‐Scale Hydrological Predictions by Ying Zhang, Jinliang Hou, Juan Gu, Chunlin Huang, Xin Li

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Postintubation Decline in Oxygen Saturation Index Predicts Mortality in COVID-19: A Retrospective Pilot Study by Ala Nozari, Shivali Mukerji, Molly Vora, Alfonso Garcia, Alyssa Park, Nicholas Flores, Robert Canelli, Gerardo Rodriguez, Riccardo Pinciroli, Alexander Nagrebetsky, Rafael Ortega, Sadeq A. Quraishi

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Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state by Aydin Larestani, Sara Sahebalzamani, Abdolhossein Hemmati-Sarapardeh, Ali Naseri

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A Unified Framework for Fault and Performance Prediction Using Spatio-Temporal Geometric Features Based on STSFE by Dong-Hyun Kang, A-Youn Yang, Jong-Min Lee, Jong-Gu Lee

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Leveraging Machine Learning Regression Algorithms to Predict Mechanical Properties of Evaporitic Rocks From Their Physical Attributes by Ayham Zaitouny, Hasan Arman, Anusuya Krishnan, Alaa Ahmed, Ahmed Gad

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