Functional and Structural Network Alterations in HIV-Associated Asymptomatic Neurocognitive Disorders: Evidence for Functional Disruptions Preceding Structural Changes by Zhou Z, Gong W, Hu H, Wang F, Li H, Xu F, Li H, Wang W

“…Functional-structural coupling was significantly enhanced in the occipital and frontal networks. …”
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Development of a Predictive Model for the Biological Activity of Food and Microbial Metabolites Toward Estrogen Receptor Alpha (ERα) Using Machine Learning by Maksim Kuznetsov, Olga Chernyavskaya, Mikhail Kutuzov, Daria Vilkova, Olga Novichenko, Alla Stolyarova, Dmitry Mashin, Igor Nikitin

Subjects: “…machine learning…”
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Whether Interleaving or Blocking Is More Effective for Long-Term Learning Depends on One’s Learning Strategy by Jeri L. Little, Jexy A. Nepangue

“…These findings have educational implications for structuring learning as a function of strategy or learning goals.…”
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Learning complex spatial dynamics of wildlife diseases with machine learning-guided partial differential equations by Juan Francisco Mandujano Reyes, Gina Oh, Ian McGahan, Ting Fung Ma, Robin Russell, Daniel P. Walsh, Jun Zhu

“…We propose a novel machine learning (ML)-guided approach that leverages prior physical knowledge of ecological systems, using partial differential equations. …”
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Federated Learning for All: A Reinforcement Learning-Based Approach for Ensuring Fairness in Client Selection by Saeedeh Ghazi, Saeed Farzi, Amirhossein Nikoofard

“…In federated learning, selecting participating devices (clients) is critical due to their inherent diversity. …”
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Transfer learning and the early estimation of single-photon source quality using machine learning methods by David Jacob Kedziora, Anna Musiał, Wojciech Rudno-Rudziński, Bogdan Gabrys

“…Hence, this study is a sequel to previous work that demonstrated significant uncertainty in the standard method of quality estimation, i.e. the least-squares fitting of a physically motivated function, and asks: can machine learning (ML) do better? …”
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Fostering experiential learning of neurocognitive skills in brain injury tele-rehabilitation: bridging gaps in remote training by integrating scenario-based digital experiences wit... by Fred Loya, Deborah Binder, Nicholas Rodriguez, Bruce Buchanan, Tatjana Novakovic-Agopian, Tatjana Novakovic-Agopian, Anthony J.-W. Chen

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USE OF ICT IN DISTANCE LEARNING by Y. Zaporozhchenko

“…The article outlines the main advantages of distance learning (e-learning) for students with functional limitations, describes the types of learning models according to the process of interaction of stakeholders, characterizes the types of ICT applicable to each mode of interaction.…”
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Machine Learning Potential for Serpentines by Hongjin Wang, Chenxing Luo, Renata M. Wentzcovitch

“…We developed a machine learning (ML) potential for serpentine minerals based on density functional theory calculation with the r2SCAN meta‐GGA functional for molecular dynamics simulation. …”
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CLASSIFICATION OF LEARNING MANAGEMENT SYSTEMS by Yu. B. Popova

“…Considering the learning management system within these classifications and taking into account the current trends of their development, it is possible to identify the main requirements to them: functionality, reliability, ease of use, low cost, support for SCORM standard or Tin Can API, modularity and adaptability. …”
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COMPUTER ASSISTED LANGUAGE LEARNING by O. I. Maximova

“…The article presents a general overview of the teaching and learning of foreign languages through multimedia and computer technology. …”
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Superstition, Idolatry and the Advancement of Learning. by Dana Jalobeanu

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Hypnoteaching Method in Arabic Learning by R Umi Baroroh, Abdul Kahfi Amrulloh

“…Hypnoteaching is a new learning method in Arabic learning. Various kinds of Arabic language learning methods have developed before, such as the lecture method, memorizing vocabulary and Arabic rules. …”
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Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis by Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Hailing Zhou, Lei Wei, Asim Bhatti, Sam Oladazimi, Burhan Khan, Saeid Nahavandi

Subjects: “…functional near-infrared spectroscopy (fNIRS)…”
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Advanced active learning techniques for precision-driven machine-learned potentials in Sb2S3 by V. Priyadarshini, P. Nemthianhoi Zou, Debashish Dash, Sanskriti Mahata, Manwendra Chauhan, Kumar Akash

“…Beginning with bulk geometries of the orthorhombic, triclinic, and monoclinic phases of Sb₂S₃, we extracted essential elemental and structural features to construct a robust training dataset. The active learning loop systematically identified high-uncertainty configurations, which were refined through Density Functional Theory (DFT) calculations to interact with improving model accuracy. …”
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Intact habit learning in work addiction: Evidence from a probabilistic sequence learning task by Zsuzsanna Viktória Pesthy, Krisztina Berta, Teodóra Vékony, Dezső Németh, Bernadette Kun

“…Work addiction (WA) is characterized by excessive and compulsive working patterns that detrimentally affect the individual’s health and functioning. While prior studies have indicated an overreliance on habit learning in various addictions, this study is the first to examine its role in WA. 104 adults were categorized into low-risk and high-risk groups for WA based on their scores on the Work Addiction Risk Test. …”
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Improved grey wolf optimization algorithm based service function chain mapping algorithm by Yue ZHANG, Junnan ZHANG, Xiaochun WU, Chen HONG, Jingjing ZHOU

“…With the rise of new Internet applications such as the industrial Internet, the Internet of vehicles, and the metaverse, the network’s requirements for low latency, reliability, security, and certainty are facing severe challenges.In the process of virtual network deployment, when using network function virtualization technology, there were problems such as low service function chain mapping efficiency and high deployment resource overhead.The node activation cost and instantiation cost was jointly considered, an integer linear programming model with the optimization goal of minimizing the average deployment network cost was established, and an improved grey wolf optimization service function chain mapping (IMGWO-SFCM) algorithm was proposed.Three strategies: mapping scheme search based on acyclic KSP algorithm, mapping scheme coding and improvement based on reverse learning and nonlinear convergence were added to the standard grey wolf optimization algorithm to form this algorithm.The global search and local search capabilities were well balanced and the service function chain mapping scheme was quickly determined by IMGWO-SFCM.Compared with the comparison algorithm, IMGWO-SFCM reduces the average deployment network cost by 11.86% while ensuring a higher service function chain request acceptance rate.…”
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Rain Class’s influence on students’ comprehensive learning of English as the aiding method of TESOL blended learning by Kong Xiangyi

“…Due to this occasion, lots of teaching methods have been derived, including mixed teaching, which combines both online and offline learning processes, to help the students better learn English conveniently and easily to review the knowledge that they had learned. …”
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Thematic Analysis and Game-based Learning for the Development of Virtual Cultural Heritage Museums as Learning Agents by Ahmad Zainul Fanani, Arry Maulana Syarif, Deddy Award Widya Laksana, Heribertus Himawan, Hanny Haryanto

“…The opinions collected were in the form of challenges and obstacles in functioning the museum as a provider of learning facilities. …”
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Improving Learning Management System Performance: A Comprehensive Approach to Engagement, Trust, and Adaptive Learning by Latifa Abdullah Almusfar

“…This paper examines the critical factors influencing the performance of Learning Management Systems (LMS), emphasizing user satisfaction and loyalty. …”
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