Comprehensive genetic analysis and predictive evaluation of milk electrical conductivity for subclinical mastitis in Chinese Holstein cows by Xubin Lu, Mingxue Long, Zhijian Zhu, Haoran Zhang, Fuzhen Zhou, Zongping Liu, Yongjiang Mao, Zhangping Yang

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Rapid Damage Assessment and Bayesian-Based Debris Prediction for Building Clusters Against Earthquakes by Xiaowei Zheng, Yaozu Hou, Jie Cheng, Shuai Xu, Wenming Wang

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Green gram yield prediction using linear regression by Tumusiime, Robert, Mabirizi, Vicent, Mirembe, D.P, Arinanye, T.R

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Carbon reduction strategies for logistics based on emission prediction under multi-scenarios in coastal developed region by Junyu Chen, Yan Zhu, Shengnan Wu, Chuanming Yang, Huimin Wang

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Digital Mapping of Soil Equivalent Calcium Carbonate Using Landsat 8 Satellite Images and Environmental Data by Machine Learning Models in Badr Watershed, Kurdistan Province by M. Zarinibahador

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Machine learning opportunities to predict obstetric haemorrhages by Yu. S. Boldina, A. A. Ivshin

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Detection and prediction of real-world severe asthma phenotypes by application of machine learning to electronic health records by Mehmet Furkan Bağcı, MSc, Toan Do, MD, Samantha R. Spierling Bagsic, PhD, Rahul F. Gomez, MD, Judy H. Jun, MD, Anna L. Ritko, MA, MPhil, Sally E. Wenzel, MD, Truong Nguyen, PhD, Yusuf Öztürk, PhD, Brian D. Modena, MD, MSc

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Personal Development Planning of the UK Students: Implementation Models by N. Yu. Shaposhnikova

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Protein structure prediction via deep learning: an in-depth review by Yajie Meng, Zhuang Zhang, Chang Zhou, Xianfang Tang, Xinrong Hu, Geng Tian, Jialiang Yang, Yuhua Yao, Yuhua Yao, Yuhua Yao

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Improvement of Statistical Models by Considering Correlations among Parameters: Local Anesthetic Agent Simulator for Pharmacological Education by Toshiaki Ara, Hiroyuki Kitamura

“…Previously, we developed a statistical model to simulate the LAs’ effects, and we estimated their parameters (mean [<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>μ</mi></semantics></math></inline-formula>] and logarithm of standard deviation [<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo form="prefix">log</mo><mi>σ</mi></mrow></semantics></math></inline-formula>]) based on the results of animal experiments. …”
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Investigation into Using CFD for Estimation of Ship Specific Parameters for the SPICE Model for Prediction of Sea Spray Icing: Part 1—The Proposal by Sujay Deshpande, Per-Arne Sundsbø

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Personal resources conducive to educational success: high achieving students’ perspectives by Jolise 't Mannetje, Marjolein Heijne-Penninga, Nicole Mastenbroek, Marca Wolfensberger, Debbie Jaarsma

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Experiences with interactive video assessment in higher education to enhance teaching and learning by Joyce West

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Contemporary experience of education digitalization by V. V. Godin, A. E. Terekhova

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A Bayesian framework perspective for model of paired comparison in cricket teams ranking by Hajar M. Alkhezi, Ahmad Shafee, Yousuf Alkhezi

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Numerical Simulation,Prediction and Analysis of Pollutants Transport Based on VM-MT3D by WANG Chengwen

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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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Predicting onset of myopic refractive error in children using machine learning on routine pediatric eye examinations only by Yonina Ron, Tchelet Ron, Naomi Fridman, Anat Goldstein

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SHAP combined with machine learning to predict mortality risk in maintenance hemodialysis patients: a retrospective study by Peng Shu, Xia Wang, Zhuping Wen, Jie Chen, Fang Xu

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