Machine learning-assisted prediction of durability behavior in pultruded fiber-reinforced polymeric (PFRP) composites by Ammar A. Alshannaq, Mohammad F. Tamimi, Muath I. Abu Qamar

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A Comprehensive Machine Learning Approach for COVID-19 Target Discovery in the Small-Molecule Metabolome by Md. Shaheenur Islam Sumon, Md Sakib Abrar Hossain, Haya Al-Sulaiti, Hadi M. Yassine, Muhammad E. H. Chowdhury

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EXPERIMENTAL AND NUMERICAL STUDY OF A VENTURI TUBE AS A DIDACTIC TOOL FOR CHEMICAL ENGINEERING LEARNING by Felipe Orlando da Costa, Jéssica Trindade Martins, Caio Guilherme Sales Ferreira, Giovanna Kellen Tavares de Andrade, Felipe Leonardo Barcelos Mateus, Renata de Aquino Brito Lima Corrêa

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Estimation of minimum miscible pressure in carbon dioxide gas injection using machine learning methods by Ali Akbari, Ali Ranjbar, Yousef Kazemzadeh, Fatemeh Mohammadinia, Amirjavad Borhani

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Developing the Many-Sided Background of the Preschool Children Learning Activities by means of Algorismic Skills Development by L. V. Voronina, Y. A. Utyumova

Subjects: “…many-sided background of learning activity…”
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COVID-19, school closures, and student learning outcomes. New global evidence from PISA by Maciej Jakubowski, Tomasz Gajderowicz, Harry Anthony Patrinos

“…npj Science of Learning…”
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Lessons learned from syndemic HIV research in an immigrant, latinx sexual and gender minority community by Nicholas Metheny, Dalton Scott, Sandor Santana, Rosa Pache

“…Using data collected from a biobehavioral study of the socio-structural factors affecting HIV susceptibility and PrEP uptake among Latinx SGM subgroups in Miami-Dade County, this paper shares lessons learned and provides concrete recommendations for tailoring survey research and biospecimen collection among a largely immigrant, socioeconomically disadvantaged community that is especially vulnerable to HIV. …”
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Molecular optimization using a conditional transformer for reaction-aware compound exploration with reinforcement learning by Shogo Nakamura, Nobuaki Yasuo, Masakazu Sekijima

“…Because of recent advances in deep learning, molecular generative models have been developed. …”
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Intelligent analysis of the quality of educational content on statistics of student performance in the learning management system "Scorina" by A. G. Savenko

Subjects: “…quality assessment of the learning process…”
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Learning deep forest for face anti-spoofing: An alternative to the neural network against adversarial attacks by Rizhao Cai, Liepiao Zhang, Changsheng Chen, Yongjian Hu, Alex Kot

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Retracted: Development of Microbiology Plantation-Based Multimodal Segmentation for Smart Garden Using Machine Learning by Advances in Materials Science and Engineering

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Sorghum yield prediction based on remote sensing and machine learning in conflict affected South Sudan by John Karongo, Joseph Ivivi Mwaniki, John Ndiritu, Victor Mokaya

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Non-parametric Statistical Methods to Predict the Benefits of Switching to E-learning, by Application on Saudi Universities by Afrah Yahya AL Alrezami

“…The research questions included: What are the readiness students of switching to e-learning?  What are the most significance indicators of the positive and negative impact of switching to e-learning?  …”
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Teacher-student relationships as a pathway to sustainable learning: Psychological insights on motivation and self-efficacy by Jurong Liu, Juan Gao, Muhammad Hassan Arshad

“…The findings bear implications for educators and policymakers aiming to create more inclusive, supportive, and sustainability-driven learning environments.…”
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Microlearning beyond boundaries: A systematic review and a novel framework for improving learning outcomes by Wali Khan Monib, Atika Qazi, Rosyzie Anna Apong

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A Low Complexity Near-Optimal Detector Based on Teaching-Learning Algorithm for Massive MIMO by Hamid Amiriara, Mohammadreza Zahabi

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Analog Sequential Hippocampal Memory Model for Trajectory Learning and Recalling: A Robustness Analysis Overview by Daniel Casanueva‐Morato, Alvaro Ayuso‐Martinez, Giacomo Indiveri, Juan P. Dominguez‐Morales, Gabriel Jimenez‐Moreno

“…This model is applied to robotic navigation to learn and recall trajectories that lead to a goal position within a known grid environment. …”
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Retracted: Optimal Scheduling Model of WDM/OTN Network Transmission Line Based on Machine Learning by Journal of Control Science and Engineering

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Web-based learning management system as media in teaching ESP for mathematics students in higher education by Abd. Syakur, Rizki Prasetya, Fajar Sandi Prawoco, Yulianto Sabat

“…This study examines the techniques used by ESP Math lecturers, the challenges they have in providing ESP learning materials, how they overcome these challenges, and the implications for ESP design. …”
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DESNet: Real-time human pose estimation for sports applications combining IoT and deep learning by Rongbao Huang, Bo Zhang, Zhixin Yao, Bojun Xie, Jia Guo

“…However, current methods often fall short in balancing high accuracy with low computational resource requirements, especially in resource-constrained environments. Deep learning has shown significant potential in enhancing computer vision tasks, including human pose estimation. …”
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