CURRENT STATUS AND MEASURES FOR MANAGING THE ASSESSMENT OF LEARNING OUTCOMES IN COLLEGES IN NGHE AN PROVINCE by Nguyen Huu Hang, Nguyen Nhu An

“…The findings on the effectiveness of implementing these management functions reveal the current status of managing the assessment of learning outcomes in colleges in Nghe An province. …”
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Auditory cortex learns to discriminate audiovisual cues through selective multisensory enhancement by Song Chang, Beilin Zheng, Les Keniston, Jinghong Xu, Liping Yu

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Tourism Learning Resources and Development Strategies in China: A Review and Conceptual Framework by Simeng Zhang, Jia Liu, Yuxuan Li

“…Actively developing tourism learning resources and manifesting tourism learning functions serves as an innovative practical path for cultivating new quality productivity in tourism and bears the contemporary mission of constructing a national lifelong learning system in the context of Chinese-style modernization. …”
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Exploring elastic properties of molecular crystals with universal machine learning interatomic potentials by Anastasiia Kholtobina, Ivor Lončarić

“…We benchmarked existing and newly trained universal machine learning interatomic potentials for modeling molecular crystals, particularly their elastic properties. …”
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Profile of Students' Reasoning Levels Using Ranking Task Exercises in Physics Learning by St. Syamsudduha, Fitriani Fitriani, Suhardiman Suhardiman

“…The order of the students' reasoning starts from the most to the least, namely sub-functional, unstructured/alternative, near functional, functional, and expert. …”
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Practice-Oriented Retest Learning as the Basic Form of Cognitive Plasticity of the Aging Brain by Lixia Yang

“…Retest learning represents a basic form of cognitive plasticity. …”
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Distinct patterns of connectivity with the motor cortex reflect different components of sensorimotor learning. by Corson N Areshenkoff, Anouk J de Brouwer, Daniel J Gale, Joseph Y Nashed, Jonathan Smallwood, J Randall Flanagan, Jason P Gallivan

“…Together, our study uncovers multiple distinct patterns of functional connectivity with motor cortex during sensorimotor adaptation, the component processes that these patterns support, and how they generalize to other forms of motor learning.…”
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Some aspects of creating and using mobile applications for the learning of military technical disciplines by Дмитро Анатолійович Чопа, Анатолій Йосипович Дерев’янчук, Дмитро Андрійович Чехута

“…Modern conditions for the functioning of the Armed Forces of Ukraine, first of all, the training of military specialists in the conditions of reduced time and limited capabilities of the educational and training base determines new approaches to the organization of education and training. …”
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Foreign language learning and the mismatch negativity (MMN): A longitudinal ERP study by Andreas Højlund, Nynne Thorup Horn, Stine Derdau Sørensen, William B. McGregor, Mikkel Wallentin

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Bridging text and crystal structures: literature-driven contrastive learning for materials science by Yuta Suzuki, Tatsunori Taniai, Ryo Igarashi, Kotaro Saito, Naoya Chiba, Yoshitaka Ushiku, Kanta Ono

“…Here we introduce Contrastive Language–Structure Pre-training (CLaSP), a learning paradigm for constructing crossmodal embedding spaces between crystal structures and texts. …”
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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

“…However, despite their potential, deep learning approaches face significant challenges in microbiome research. …”
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FFR post-PCI: what we learned from the FFR-SEARCH study by <p>Nico H.J. Pijls, Lokien X. van Nunen

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Pedagogical models of blended learning: On the experience of Russian and foreign practice of design and implementation by T. Yu. Pletyago, A. S. Ostapenko, S. N. Antonova

“…The existing definitions of blended learning are reviewed. Pedagogical models of blended learning are compared according to their dominant functional feature, design principles and basic components. …”
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Replicating associative learning of rodents with a neuromorphic robot in an open-field arena by Tianze Liu, Kang Jun Bai, Hongyu An

“…Experiments confirmed functional learning behavior across multiple trials. …”
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Implementation of Communities of Learning: What have we learnt and what has changed? by Clare Valerie Curtice

“…A business model for management of these Communities of Learning has been transcribed over what were already very functional clusters of collaborative schools. …”
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Physics-informed deep learning with Kalman filter mixture for traffic state prediction by Niharika Deshpande, Hyoshin (John) Park

“…Central to our approach is the development of a novel deep learning (DL) model called the physics informed-graph convolutional gated recurrent neural network (PI-GRNN). …”
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PFML: Self-Supervised Learning of Time-Series Data Without Representation Collapse by Einari Vaaras, Manu Airaksinen, Okko Rasanen

“…Self-supervised learning (SSL) is a data-driven learning approach that utilizes the innate structure of the data to guide the learning process. …”
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Identification of diagnostic biomarkers for fibromyalgia using gene expression analysis and machine learning by Fuyu Zhao, Fuyu Zhao, Fuyu Zhao, Jianan Zhao, Jianan Zhao, Jianan Zhao, Yang Li, Chenyang Song, Chenyang Song, Chenyang Song, Yaxin Cheng, Yaxin Cheng, Yaxin Cheng, Yunshen Li, Yunshen Li, Yunshen Li, Shiya Wu, Bingheng He, Juan Jiao, Cen Chang, Cen Chang

“…These genes are implicated in critical processes such as ion homeostasis, cell signaling, and neurobiological functions, which are perturbed in FM. The diagnostic model demonstrated robust performance, with an area under the curve (AUC) of 0.8338 in the training set and 0.8178 in the validation set, indicating its potential utility in clinical settings.ConclusionThe study successfully identifies three diagnostic biomarkers for FM, supported by both bioinformatics analysis and machine learning models. …”
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Automation of the complex ecological monitoring of the territory of the airport using the method of machine learning by V. N. Ekzarian, V. V. Rukavitsyn, M. V. Zyulyaeva

“…The structure of such system, the sources of its data and the functionality have been described. The system of the environmental forecasts formation with machine learning elements has been presented. …”
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Social and Emotional Learning: Easing the Transition to High School for 2e Learners by Charles Willis, C. Matthew Fugate

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