Tripchlorolide May Improve Spatial Cognition Dysfunction and Synaptic Plasticity after Chronic Cerebral Hypoperfusion by Zhao-Hui Yao, Xiao-li Yao, Shao-feng Zhang, Ji-chang Hu, Yong Zhang

“…Our findings showed that TRC could rescue CCH-induced spatial learning and memory dysfunction and improve long-term potentiation (LTP) disorders. …”
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Determining the alignment of assessment items with curriculum goals through document analysis by addressing identified item flaws by Humaira Fayyaz Khan, Shazia Qayyum, Huma Beenish, Rehan Ahmed Khan, Samina Iltaf, Lubna Rani Faysal

“…Abstract Background Assessment shapes educational activities and curriculum mapping, influences learning outcomes, and motivates students. In medical education, aligning assessment items with curricular goals ensures that learning outcomes are accurately measured. …”
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Cognitive, linguistic, and methodological considerations in teaching professional vocabulary to information technology (IT) students. by V. Borshchovetska, T. Harbuza, A. Durdas, V. Semidotska

“…The role of cognitive learning strategies has been generalized as well as the role of cognitive processes of vocabulary acquisition, i.e. mnemonic devices are emphasized. …”
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A Lightweight CNN-Transformer Implemented via Structural Re-Parameterization and Hybrid Attention for Remote Sensing Image Super-Resolution by Jie Wang, Hongwei Li, Yifan Li, Zilong Qin

“…This method leverages the strengths of transformers in terms of learning long-distance dependencies (global features) and CNNs with respect to extracting local features. …”
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Improving Media Literacy Among Higher Education Students Through Vitagenic Information by Darmonjon Maxmudova, Egambergan Khudoynazarov, Meruert Pazilova, Khairulla Alyaminov, Gulbahar Abilova, Zamira Sherimbetova, Sherzod Korabayev

“…The primary focus is on how students can leverage their personal experiences and vitagenic learning to critically assess and interact with a wide array of media content in the current digital landscape. …”
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Maximizing tuberculosis services through private provider engagement – A case study from Pakistan by Aamna Rashid, Surbhi Sheokand, Razia Fatima, Hammad Habib, Adeel Tahir, Asim Saleem, Poshan Thapa, Petra Heitkamp

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Direct conversion of peptides into diverse peptidomimetics using a transformer-based chemical language model by Atsushi Yoshimori, Jürgen Bajorath

“…A critically important aspect of the approach has been the generation of training data for effective learning that was guided by a quantitative measure of peptide-likeness such that the CLM could implicitly capture transitions from peptides or peptide-like molecules to compounds with reduced or eliminated peptide character. …”
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Constructing meaningful code changes via graph transformer by Shikai Guo, Mengxuan Li, Xin Ge, Hui Li, Rong Chen, Tingting Li

“…Researchers have investigated how to learn meaningful code changes to assist developers in anticipating changes that code reviewers may suggest for the submitted code. …”
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A Review of Agricultural Film Mapping: Current Status, Challenges, and Future Directions by Mengmeng Zhang, Jinwei Dong, Quansheng Ge, Hasituya, Pengyu Hao

“…Deep learning has apparent advantages than traditional machine learning algorithms in extracting PGs details, rarely used for mapping PMF. …”
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Accelerating AI-Based Battery Management System’s SOC and SOH on FPGA by Satyashil D. Nagarale, B. P. Patil

“…This article presents an experimental study for the artificial intelligence (AI)-based data-driven prediction of lithium battery parameters SOC and SOH with the help of deep learning algorithms such as Long Short-Term Memory (LSTM) and bidirectional LSTM (BiLSTM). …”
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A Novel Deep Hybrid Recommender System Based on Auto-encoder with Neural Collaborative Filtering by Yu Liu, Shuai Wang, M. Shahrukh Khan, Jieyu He

“…To tackle these problems, some authors have considered the integration of a deep neural network to learn user and item features with traditional collaborative filtering. …”
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Study on Intelligent Classing of Public Welfare Forestland in Kunyu City by Meng Sha, Hua Yang, Jianwei Wu, Jianning Qi

“…This study proposes an innovative machine learning-based approach to forestland classification, utilizing a Support Vector Machine (SVM) model to automate the classification process and enhance both efficiency and accuracy. …”
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Automatic Classification of Difficulty of Texts From Eye Gaze and Physiological Measures of L2 English Speakers by Javier Melo, Leigh Fernandez, Shoya Ishimaru

“…Reading is an essential method for adults to learn new languages, but difficulty reading texts in a foreign language can increase learners’ anxiety. …”
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Performance outcomes from a DMEK peeling and preparation wet lab by Sajjad Ahmad, Vito Romano, Mohit Parekh, Stefano Ferrari, Alessandro Ruzza, Matteo Airaldi, Alexander George Wallace

“…Wet labs improve the success rate of DMEK graft preparation as well as flatten the learning curve. This emphasises the importance of continued support for the expansion of this valuable learning resource, promoting wider uptake of DMEK surgery.…”
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Integrating Information Gain and Chi-Square for Enhanced Malware Detection Performance by Fauzi Adi Rafrastara, Wildanil Ghozi, Ramadhan Rakhmat Sani, Lekso Budi Handoko, Abdussalam Abdussalam, Elkaf Rahmawan Pramudya, Faizal M. Abdollah

“…Recent studies have shown that this challenge can be addressed by employing machine learning algorithms for detection. Some studies have also implemented various feature selection methods to optimize detection efficiency. …”
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DATA MINING ALGORITHMS FOR PREDICTION OF STUDENT TEACHERS’ PERFORMANCE IN ICT: A SYSTEMATIC LITERATURE REVIEW by Juma Habibu Shindo, Mohamedi Mohamedi Mjahidi, Mohamed Dewa Waziri

“… Poor ICT performance in teacher training colleges makes it more difficult for the majority of teachers to successfully use ICT resources in their teaching and learning. When teachers can efficiently utilize ICT resources, it empowers them to update their knowledge through online learning, consequently enhancing the overall quality of teaching and learning. …”
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Impacts of a multipronged initiative with community HIV clinics to support retention and re-engagement in HIV care by Ellen Eaton, Claudia T. Martorell, Jewel Sawyer, Tanya S. Schreibman, Gregory S. Felzien, Jenniffer Meza Jimenez, Chelsie Anderson Chadha, Jeffrey Carter, Chris Napolitan, Laura Simone, Leah Molloy, Bonnie Douglas

“…Community-oriented interventions included education sessions co-led by clinics and CBOs, micro-learning engagements at community events, and social media campaigns covering topics related to HIV care. …”
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Prediction of the Influential Factors on Eating Behaviors: A Hybrid Model of Structural Equation Modelling-Artificial Neural Networks by Maryam M. Kheirollahpour, Mahmoud M. Danaee, Amir Faisal A. F. Merican, Asma Ahmad A. A. Shariff

“…Moreover, Levenberg–Marquardt, which is a supervised learning model, was applied as a learning method for MLP training. …”
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Examining Family Influence on the Academic Performance of Pupils in Selected Primary Schools in Hamurwa Sub-County, Rubanda District by Kiconco, Kate

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Dianchonair Fhéideartha an Inspreagtha in Oideachas Múinteoirí an Tumoideachais [Potential Powerful Pathways of Motivation in Immersion Teacher Education] by Caoileann Ní Dhonnchadha, Karen Ní Chlochasaigh, T.J. Ó Ceallaigh

“…Motivation is essential for attaining language proficiency and achieving long-term language teaching and learning goals. This paper explores the concept of Directed Motivational Current (DMC), a relatively novel idea in motivation studies in Second Language Aquisition (SLA) and particularly recent in the context of Irish language learning and Irish-medium education. …”
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