Expansion of Impervious Surface Area in Pekanbaru (1990–2018) and Predictions for 2038 Using Big Data by Wirawan Bayu Andrianto, Siregar Yusni Ikhwan, Sukendi Sukendi, Mulyadi Mulyadi

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Integrating deep learning and transfer learning: optimizing white blood cells classification in medical educational institutions by M. Hussein, Faten Abd El-Sattar Zahran El-Mougi

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Effectiveness of Gagné’s 9 Events of Instruction in health professions education: a systematic review and meta-analysis by Yue Li, Zhengjv Liang, Zhongyan Li, Yuhuan Yu, Qing Yang, Xiao Li

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Analyzing Higher Education Students’ Prompting Techniques and Their Impact on ChatGPT’s Performance: An Exploratory Study in Spanish by José Luis Carrasco-Sáez, Carolina Contreras-Saavedra, Sheny San-Martín-Quiroga, Carla E. Contreras-Saavedra, Rhoddy Viveros-Muñoz

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Shaping Tomorrow's Doctors: The Impact of Socioeconomic and Institutional Factors on Medical Education Quality in Brazil: An Ecological Study by Quécia H Fatel, Flávia GM Silva, Katia M Avena, Rodrigo C Menezes, Bruno B Andrade, Luiz F Quintanilha

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Combining genome‐wide association and genomic prediction to unravel the genetic architecture of carotenoid accumulation in carrot by William R. Rolling, Shelby Ellison, Kevin Coe, Massimo Iorizzo, Julie Dawson, Douglas Senalik, Philipp W. Simon

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DTI-RME: a robust and multi-kernel ensemble approach for drug-target interaction prediction by Yuqing Qian, Xin Zhang, Yizheng Wang, Quan Zou, Chen Cao, Yijie Ding, Xiaoyi Guo

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Predicting the Young’s Modulus of Concrete Using a Particle-Based Movable Cellular Automata Method by Dorota Aniszewska, Marek Rybaczuk

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Accurate prediction of clinical stroke scales and improved biomarkers of motor impairment from robotic measurements. by Dimitris K Agrafiotis, Eric Yang, Gary S Littman, Geert Byttebier, Laura Dipietro, Allitia DiBernardo, Juan C Chavez, Avrielle Rykman, Kate McArthur, Karim Hajjar, Kennedy R Lees, Bruce T Volpe, Michael Krams, Hermano I Krebs

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Fate-tox: fragment attention transformer for E(3)-equivariant multi-organ toxicity prediction by Sumin Ha, Dongmin Bang, Sun Kim

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Assessing the performance of QLQ-C30 in predicting all-cause mortality in community cancer patients by Jin Zhao, Yanmin Wang, Weidong Huang, Richard H Xu, Xiaoming Yang, Pei Wang

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A new approach for microbe-disease association prediction: incorporating representation learning of latent relationships by Shaopeng Liu, Wanlu Hu, Chun-Chun Wang, Linlin Zhuo, Xu Lu

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Personalizing age‐specific survival prediction and risk stratification in intracranial grade II/III ependymoma by Xiangyang Deng, Xiaojia Zhang, Liang Yang, Xiangqi Lu, Junhao Fang, Lisheng Yu, Dandong Li, Hansong Sheng, Bo Yin, Nu Zhang, Jian Lin

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The Use of Explainable Machine Learning for the Prediction of the Quality of Bulk-Tank Milk in Sheep and Goat Farms by Daphne T. Lianou, Yiannis Kiouvrekis, Charalambia K. Michael, Natalia G. C. Vasileiou, Ioannis Psomadakis, Antonis P. Politis, Angeliki I. Katsafadou, Eleni I. Katsarou, Maria V. Bourganou, Dimitra V. Liagka, Dimitrios C. Chatzopoulos, Nikolaos M. Solomakos, George C. Fthenakis

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TTR.PGM: An R package for modelling the distributions and dynamics of plants using the Thornley transport resistance plant growth model by Steven I. Higgins, Arne Burkhardt, Timo Conradi, Edward Muhoko

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Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions by Kirsten Zantvoort, Barbara Nacke, Dennis Görlich, Silvan Hornstein, Corinna Jacobi, Burkhardt Funk

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Permeability Prediction for Ajeel Oilfield/ Tertiary Reservoir by Integrating Rock Typing Approach with FZI Method by Vian M. Ahmed, Ayad A. Al-Haleem

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Prediction of porosity, hardness and surface roughness in additive manufactured AlSi10Mg samples. by Fatma Alamri, Imad Barsoum, Shrinivas Bojanampati, Maher Maalouf

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Monitoring and Prediction of Land Surface Phenology Using Satellite Earth Observations—A Brief Review by Mateo Gašparović, Ivan Pilaš, Dorijan Radočaj, Dino Dobrinić

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A comprehensive approach to predict a rocket's impact with stochastic estimators and artificial neural networks by Jose Abreu, Roberto L. Oliveira, Joao V. Fonseca Neto

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