Forecasting Foodborne Disease Risk Caused by <i>Vibrio parahaemolyticus</i> Using a SARIMAX Model Incorporating Sea Surface Environmental and Climate Factors: Implications for Seaf... by Rong Ma, Ting Liu, Lei Fang, Jiang Chen, Shenjun Yao, Hui Lei, Yu Song

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Predicting leadership emergence in global virtual teams by Ilan Alon, Erik Lankut, Marjaana Gunkel, Ziaul Haque Munim, Vasyl Taras, Nicole Franziska Richter

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Narrowing the gap for city building height predictions by C. Scott Watson, John R. Elliott

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Investigation of predictive parameters for recurrence in patients undergoing electrical cardioversion for atrial fibrillation by Levent Pay, Ozan Tezen, Tuğba Çetin, Ahmet Çağdaş Yumurtaş, Kıvanç Keskin, Şeyda Dereli, Ertan Arter, Yusuf Oflu, Faysal Şaylık, Berke Cenktug Korucu, Tufan Çınar, Mert İlker Hayıroğlu

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Market Predictability Before the Closing Bell Rings by Lu Zhang, Lei Hua

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The Crucial Role of the Initial State in MJO Prediction by L. Bengtsson, S. N. Tulich, J. Dias, B. Wolding, K. J. C. Hall, M. Gehne, G. N. Kiladis, P. Pegion

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Prevention or Promotion? Predicting Author's Regulatory Focus by Aswathy Velutharambath, Kai Sassenberg, Roman Klinger

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PREDICTED SEDIMENTARY SECTION OF SUBGLACIAL LAKE VOSTOK by G. I. Leychenkov, A. M. Popkov

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Link Predictions with Bi-Level Routing Attention by Yu Wang, Shu Xu, Zenghui Ding, Cong Liu, Xianjun Yang

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Naive Bayes Classification for Software Defect Prediction by Edwin Hari Agus Prastyo, Muhammad Ainul Yaqin, Suhartono, M. Faisal, Reza Augusta Jannatul Firdaus

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Churn prediction for SaaS company with machine learning by Hugo Eduardo Sanches, Ayslan Trevizan Possebom, Linnyer Beatrys Ruiz Aylon

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Bioinformatics-based analysis of nicotinamide adenine dinucleotide metabolism-related genes to predict immune status and prognosis for head and neck squamous cell carcinoma patient... by Zhenjie Guan, Xinyu Gu, Lian Zheng

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Machine learning to predict bacteriuria in the emergency department by Johnathan M. Sheele, Ronna L. Campbell, Derick D. Jones

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Predicting hepatocellular carcinoma survival with artificial intelligence by İsmet Seven, Doğan Bayram, Hilal Arslan, Fahriye Tuğba Köş, Kübranur Gümüşlü, Selin Aktürk Esen, Mücella Şahin, Mehmet Ali Nahit Şendur, Doğan Uncu

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Protein prediction for trait mapping in diverse populations. by Ryan Schubert, Elyse Geoffroy, Isabelle Gregga, Ashley J Mulford, Francois Aguet, Kristin Ardlie, Robert Gerszten, Clary Clish, David Van Den Berg, Kent D Taylor, Peter Durda, W Craig Johnson, Elaine Cornell, Xiuqing Guo, Yongmei Liu, Russell Tracy, Matthew Conomos, Tom Blackwell, George Papanicolaou, Tuuli Lappalainen, Anna V Mikhaylova, Timothy A Thornton, Michael H Cho, Christopher R Gignoux, Leslie Lange, Ethan Lange, Stephen S Rich, Jerome I Rotter, NHLBI TOPMed Consortium, Ani Manichaikul, Hae Kyung Im, Heather E Wheeler

“…Our predictive models in diverse populations are publicly available for use in proteome mapping methods at https://doi.org/10.5281/zenodo.4837327.…”
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Intelligent Prediction and Numerical Simulation of Landslide Prediction in Open-Pit Mines Based on Multi-Source Data Fusion and Machine Learning by Li Qing, Linfeng Xu, Juehao Huang, Xiaodong Fu, Jian Chen

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The effect of the flipped learning model on grammar test scores and student perceptions in a South Korean EFL setting by Michael Fraser Harrison

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Predicting Diabetes Mellitus with Machine Learning Techniques by Heba Ahmed Jassim, Omar R. Kadhim, Zahraa Khduair Taha, Johnny Koh Siaw Paw, Yaw Chong Tak, Tiong Sieh Kiong

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Predicting Thrombophilia in Preeclampsia: Is Universal Testing Necessary? by Ana Belén Gálvez MD, Pedro Chorão MD, Ernesto M Talegón MD, María del Carmen Gilabert MD, Amando Blanquer MD, Fernando Ferrando MD, PhD, Ana Cid MD, Antonio Moscardó MD, PhD, Saturnino Haya MD, PhD, Santiago Bonanad MD

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Outcome prediction of the measles vaccination in healthcare employees by A. A. Ereshchenko, O. A. Gusyakova, N. B. Migacheva, F. N. Gilmiyarova, A. V. Lyamin

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