Associations between education and ideal cardiovascular health metrics across 36 low- and middle-income countries by Yi Zhang, Guangyu Tong, Ning Ma, Shaoru Chen, Yuhao Kong, Lhuri Dwianti Rahmartani, Justice Moses K. Aheto, Andrew Marvin Kanyike, Pengyang Fan, Md Ashfikur Rahman, Abdallah Mkopi, Rockli Kim, Peter Karoli, John Lapah Niyi, Melkamu Aderajew Zemene, Lin Zhang, Feng Cheng, Chunling Lu, S. V. Subramanian, Pascal Geldsetzer, Yue Qiu, Zhihui Li

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Exploring novel magnetic nanocomposite coagulants utilization for advanced drilling wastewater treatment and optimization by Behrad Shadan, Reza Gharibshahi, Arezou Jafari

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The implementation of take-home naloxone: Lessons learned from a 3-year take-home naloxone project in Germany by Simon Fleißner, Larissa Steimle, Dirk Schäffer, Bernd Werse, Daniel Deimel, Maria Kuban, Heino Stöver

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How and when supervisors’ information sharing reduces new employees’ errors by Tesfaye A. Bafa, Mingyu Zhang, Chong Chen

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Differential predictive value of resident memory CD8+T cell subpopulations in patients with non-small-cell lung cancer treated by immunotherapy by Hang Phuong Pham, Diane Damotte, Stéphanie Corgnac, Ludger Johannes, Eric Tartour, Léa Paolini, Fathia Mami-Chouaib, Karen Leroy, Pascaline Boudou-Rouquette, Helene Blons, Francois Goldwasser, Pierre Laurent-Puig, Isabelle Cremer, Milena Hasan, Thi Tran, Nadege Gruel, Laure Gibault, Elizabeth Fabre, Marie Wislez, Patrice Ravel, Valentin Quiniou, Jennifer Arrondeau, Aziza Caidi, Jean-Philippe Villemin, Jonathan Ulmer, Louis-Victorien Vieillard, Joséphine Pineau, Alain Gey, Pierre Barennes, Valentina Libri, Sebastien Mella, Sixtine De Percin, Hortense De Saint Basile

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Learning from wildfires: A scalable framework to evaluate treatment effects on burn severity by Caden P. Chamberlain, Garrett W. Meigs, Derek J. Churchill, Jonathan T. Kane, Astrid Sanna, James S. Begley, Susan J. Prichard, Maureen C. Kennedy, Craig Bienz, Ryan D. Haugo, Annie C. Smith, Van R. Kane, C. Alina Cansler

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Prediction of antipsychotic drug efficacy for schizophrenia treatment based on neural features of the resting-state functional connectome by Song Liu, Meng Wang, Weiyi Han, Anran Chen, Xuzhen Liu, Kang Liu, Xue Li, Yi Chen, Luwen Zhang, Qing Liu, Xiaoge Guo, Xiujuan Wang, Ning Kang, Yong Han, Yuanbo Li, Xi Su, Luxian Lv, Bing Liu, Wenqiang Li, Yongfeng Yang

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Analysis of key components of the “Digital University” Model by I. N. Golyshkova

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Review of Methods and Models for Forecasting Electricity Consumption by Kamil Misiurek, Tadeusz Olkuski, Janusz Zyśk

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Minimal biophysical model of combined antibiotic action. by Bor Kavčič, Gašper Tkačik, Tobias Bollenbach

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Modelling trial-by-trial changes in the mismatch negativity. by Falk Lieder, Jean Daunizeau, Marta I Garrido, Karl J Friston, Klaas E Stephan

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Quasi – biological model of radiogenic cancer morbidity by A. T. Gubin, V. I. Red’ko, V, A, Sakovich

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Reconcile an Appropriate Model for the Occurrence of Periods of Infection with Hepatitis C in the Province of Nineveh - A comparative Study with the Geometric Process Model - by Muthanna Sulaiman, Shaimaa Mahmood

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Stochastic Explicit Calibration Algorithm for Survival Models by Jeongho Park, Sangwook Kang, Gwangsu Kim

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Explainable data mining model for hyperinsulinemia diagnostics by Nevena Rankovic, Dragica Rankovic, Mirjana Ivanovic, Igor Lukic

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A sports manager’s key competences model by I. A. Udzhukhu, F. A. Tuguz, E. S. Dvoynikova

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Validating attribute hierarchies in cognitive diagnosis models by Xueqin Zhang, Yu Jiang, Tao Xin, Yanlou Liu

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Where to act, when to think, and how to feel: The ABC + model of learning engagement and its relationship to the components of academic performance by Eric T. McChesney, Christian D. Schunn, Linda DeAngelo, Erica McGreevy

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Enhanced Position-Aided Beam Prediction Using Real-World Data and Enhanced-Convolutional Neural Networks by Ahmed Abd El Moaty Mohamed Gouda, Ehab K. I. Hamad, Aziza I. Hussein, M. Mourad Mabrook, A. A. Donkol

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Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence by Manohar Pavanya, Krishnaraj Chadaga, Vennila J, Akhila Vasudeva, Bhamini Krishna Rao, Srikanth Prabhu, Shashikala K Bhat

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