The role of physical metallurgical relationships in enhancing alloy properties prediction and design: A case study on Q&P steel by Yong Li, Hua Li, Chenchong Wang, Pedro Eduardo Jose Rivera‐Diaz‐del‐Castillo

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A Summary of National Oceanic and Atmospheric Administration Space Weather Prediction Center Proton Event Forecast Performance and Skill by H. M. Bain, R. A. Steenburgh, T. G. Onsager, E. M. Stitely

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Parent-child relationship quality predicts higher subjective well-being in adulthood across a diverse group of countries by Jonathan T. Rothwell, Telli Davoodi

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Prediction of Voice Therapy Outcomes Using Machine Learning Approaches and SHAP Analysis: A K-VRQOL-Based Analysis by Ji Hye Park, Ah Ra Jung, Ji-Na Lee, Ji-Yeoun Lee

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Development and validation of nomograms for predicting overall survival and cancer-specific survival in unresected colorectal cancer patients undergoing chemotherapy by Yuan-Xiang Li, Bai-Xiang Mu, Hua-Jian Zhou, Jun Qian, Jin-Yong Zhou, Min Chen

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Photothermal Integration of Multi-Spectral Imaging Data via UAS Improves Prediction of Target Traits in Oat Breeding Trials by David Evershed, Jason Brook, Sandy Cowan, Irene Griffiths, Sara Tudor, Marc Loosley, John H. Doonan, Catherine J. Howarth

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Low Power Broadband sub-GHz CMOS LNA with 1 GHz Bandwidth for IoT Applications by Farshad Shirani Bidabadi, Sayed Vahid Mir-Moghtadaei

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Stock return forecasting based on the proxy variables of category factors by Yuan Zhao, Xue Gong, Weiguo Zhang, Weijun Xu

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Bearing Response Prediction in Hydrothermal Aged Carbon Fiber Reinforced Epoxy Composite Joints Using Machine Learning Techniques by Mohit Kumar, Govind Vashishtha, Babita Dhiman, Sumika Chauhan

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Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning. by Liam Brierley, Anna Fowler

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A comprehensive survey on machine learning for workplace injury analysis: risk prediction, return to work strategies, and demographic insights by Gonzalo A. Vivian, Richard A. Bauder, Taghi M. Khoshgoftaar

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Application of Decision Tree (M5Tree) Algorithm for Multicrop Yield Prediction of the Semi-Arid Region of Maharashtra, India by Kalpesh Borse, Prasit Agnihotri

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The meta-analysis of sheep body weight prediction with body measurement, breed and sex categories for practical livestock management purposes by Frediansyah Firdaus, Bayu Andri Atmoko, Yudi Adinata, Tanda Sahat Panjaitan, Noor Hudhia Krishna, Retno Widiyawati, Malik Makmur

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Scenario Prediction of Provincial Primary Energy Supply under Low Carbon Background: A Case Study of Zhejiang Province by Fan WEN, Jun LIU, Dongxiao NIU, Ze SUN, Yi LIANG, Yao XIAO

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Retinal Vascular Morphology Reflects and Predicts Cerebral Small Vessel Disease: Evidences from Eye–Brain Imaging Analysis by Ning Wu, Mingze Xu, Shuohua Chen, Shouling Wu, Jing Li, Ying Hui, Xiaoshuai Li, Zhenchang Wang, Han Lv

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Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine by Ibrahim Shomope MS, Kelly M. Percival BS, Nabil M. Abdel Jabbar PhD, Ghaleb A. Husseini PhD

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Structured-illumination reflectance imaging for the evaluation of microorganism contamination in pork: effects of spectral and imaging features on its prediction performance by Binjing Zhou, Xiaohua Liu, Yan Ge, Kang Tu, Jing Peng, Juan Francisco García-Martín, Jie Wu, Weijie Lan, Leiqing Pan

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Machine Learning‐Based Radiomics in Malignancy Prediction of Pancreatic Cystic Lesions: Evidence from Cyst Fluid Multi‐Omics by Sihang Cheng, Ge Hu, Shenbo Zhang, Rui Lv, Limeng Sun, Zhe Zhang, Zhengyu Jin, Yanyan Wu, Chen Huang, Lu Ye, Yunlu Feng, Zhe‐Sheng Chen, Zhiwei Wang, Huadan Xue, Aiming Yang

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Peripheral blood cytokine profiles predict the severity of SARS-CoV-2 infection: an EPIC3 study analysis by Xumin Li, Vivek Pakanati, Cindy Liu, Tracy Wang, Daniel Morelli, Anna Korpak, Aaron Baraff, Stuart N. Isaacs, Amy Vittor, Kyong-Mi Chang, Elizabeth Le, Nicholas L. Smith, Jennifer S. Lee, Jennifer M. Ross, Javeed A. Shah, for the EPIC3 Investigators

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Making IoT Networks Highly Fault-Tolerant Through Power Fault Prediction, Isolation and Composite Networking in the Device Layer by Kodanda Rama Sastry Jammalamadaka, Bhupati Chokara, Sasi Bhanu Jammalamadaka, Balakrishna Kamesh Duvvuri

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