Distance learning methodology and technique in scientific and vocational communication (on the example of the master’s distance course in linguistics) by S. S. Khromov, T. P. Skorikova, N. V. Dneprovskaya

“…As a result of the experiment we can state that 1) the methodology and technique of distance tools in projecting master’s course in linguistics are described 2) the algorithm of building distance course in linguistiс master’s program is developed 3) the methodology of constructing a new model of online Russian universities is outlined.…”
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pyAutonomousAgent: An Academic Tool for Modeling Autonomous Agent Behaviors Using Behavior Trees by Felipe Leonardo Lôbo Medeiros

“…However, teaching the construction of behavior trees for autonomous agents can be a very complex task, especially if students have little knowledge of computer programming. …”
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Evaluating the impact of industrial wastes on the compressive strength of concrete using closed-form machine learning algorithms by Carlos Roberto López Paredes, Cesar García, Kennedy C. Onyelowe, Kennedy C. Onyelowe, Maria Gabriela Zuniga Rodriguez, Tammineni Gnananandarao, Alexis Ivan Andrade Valle, Nancy Velasco, Greys Carolina Herrera Morales

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Development and Validation of the Pre-service Teacher Competency Scale in an Online Learning Environment Using the Scenario Method by Jiwon Baek, Jiwoo Kim, Hyeonseong Lee, Youn-Jeng Choi

“…The scale was then validated through confirmatory analyses and reliability analyses with 579 pre-service teachers, demonstrating good construct validity and reliability. This study contributes to teacher education by providing a validated tool that can help evaluate and enhance pre-service teacher preparation programs for online and hybrid learning environments.…”
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“I don't want to learn translation”: Exploring the systemic roots of burnout among translation master's students by Xiaobin Ren, Wenwen Zheng

“…By constructing this theoretical model, the study extends existing perspectives on learning burnout and provides valuable insights for educators and program administrators to better understand its underlying causes and optimize training strategies for translation master's students.…”
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Sweet pepper yield modeling via deep learning and selection of superior genotypes using GBLUP and MGIDI by Hamid Hatami Maleki, Reza Darvishzadeh, Nasrin Azad

“…Genomic best linear unbiased prediction through 65 amplified ISSR loci showed positive and high value of additive gene effect as breeding value for traits identified in the deep learning models. Among studied germplasm, G12, G13, G14, and G25 with positive and high value of breeding value especially for traits constructed the CNN models, recognized as superior genotypes. …”
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Developing Performance Assessment Instruments to Measure 4C Skills in Online Discussion Activities of Science Learning by Yuyun Maryuningsih, Topik Hidayat, Riandi Riandi, Nuryani Rustaman

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The development and validation of a multi-dimensional medical students’ learning self-efficacy questionnaire for clinical education by Chia-Ter Chao, Jyh-Chong Liang

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Building pre-service teachers’ resilience through Service-Learning: an explanatory sequential mixed methods study by Marta Sánchez-Jiménez, Marta Sánchez-Jiménez, María Maravé-Vivas, Jesús Gil-Gómez, Celina Salvador-Garcia

“…To this end, the Resilience Questionnaire for Adults (RQA) was administered before and after a Service-Learning program. The reflection diaries written by the participants (n = 54) were analyzed too. …”
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Intra-day dispatch method via deep reinforcement learning based on pre-training and expert knowledge by Yanbo Chen, Qintao Du, Huayu Dong, Tao Huang, Jiahao Ma, Zitao Xu, Zhihao Wang

“…In recent years, due to high self-learning and self-optimization ability, reinforcement learning has emerged in the field of economic dispatch, which can solve model-free dynamic programming problems that cannot be effectively solved by traditional optimization methods. …”
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Machine learning identification of key genes in cardioembolic stroke and atherosclerosis: their association with pan-cancer and immune cells by Tianxiang Zhang, Chunhui Yuan, Mo Chen, Jinjiang Liu, Wei Shao, Ning Cheng

“…Ferroptosis, a novel form of programmed cell death, may play a key role in CS and AS. …”
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NOVEL KEY VARIABLES IN THE SURVIVAL OF PATIENTS WITH MYELODYSPLASTIC NEOPLASMS: A PRACTICAL APPROACH USING MACHINE LEARNING by PRC Passos, RDB Dias, SCC Carneiro, IB Nogueira, JMGF Lima, RC Venâncio, ACG Lavor, JVG Gama, RF Pinheiro, SMM Magalhães

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Interprofessional Differences in Multidimensional Self-Efficacy Associated With Professional Performance in Nephrology During Case-Based Learning by Chia-Ter Chao, Mei-Yi Wu, Kuan-Yu Hung, Mai-Szu Wu, Jyh-Chong Liang

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Data-Driven Insights into Concrete Flow and Strength: Advancing Smart Material Design Using Machine Learning Strategies by Muwaffaq Alqurashi

“…Compressive strength (CS) and workability (flow) are two important performance measures of concrete, and this paper investigates how two evolutionary machine learning methods, gene expression programming (GEP) and multi-expression programming (MEP), might be used for this purpose. …”
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Identification of hub genes for the diagnosis associated with heart failure using multiple cell death patterns by Hua‐jing Yuan, Hui Yu, Yi‐ding Yu, Xiu‐juan Liu, Wen‐wen Liu, Yi‐tao Xue, Yan Li

“…Bioinformatics and machine learning algorithms were utilized to screen the HF key genes and PCD‐related HF hub genes, and an HF diagnostic model was constructed on this. …”
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A socio-constructivist framework for tactical development in team sports: fostering critical thinking through collaborative learning by Samuel Jose Octavio Gaviria Alzate, Wilder Valencia Sánchez, Elkin Arias Arias

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DIRECTIONS OF PREPARATION OF FUTURE TEACHERS TO THE USE OF DISTANCE LEARNING TECHNOLOGIES IN PROFESSIONAL ACTIVITY (PRAXIOLOGICAL ASPECT OF THE ACTIVITY APPROACH) by Tatyana A. Boronenko, Vera S. Fedotova

“…The system of training to implementation of the distance learning technologies in the teaching activity is developed and described, consisting of the following directions: realisation within the program of the principal educational program of specialised training courses in variable-based curriculum parts; the organisation of educational and research activity of students with the use of distance learning technologies; classroom-based and extracurricular independent work of students directed to designing of teaching and learning aids and materials on the basis of distance learning technologies; application of elements of distance learning technologies for students’ teaching; attraction of students to formation of corpus of multimedia educational resources of university. …”
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Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database. by Ryoya Tsunoda, Keitaro Kume, Rina Kagawa, Masaru Sanuki, Hiroyuki Kitagawa, Kaori Mase, Kunihiro Yamagata

“…A manual analysis of the diagnostic accuracy and machine learning was performed. For machine learning, the datasets were preprocessed in three patterns and assigned to the XGBoost program using five-fold cross-validation. …”
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An effectiveness of machine learning models for estimate the financial cost of assistive services to disability care in the Kingdom of Saudi Arabia by Obaid Algahtani, Mohammed M. A. Almazah, Farouq Alshormani

“…Next, an ensemble of machine learning (ML) models comprises three classifiers such as hybrid kernel extreme learning machine (HKELM), extreme gradient boosting (XGBoost), and support vector regression (SVR) for predicting the financial cost. …”
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The Impact of Open and Distance Learning (ODL) on Students' Psychological Well‐Being in Bangladesh: A Cross‐Sectional Study by Shahima Jabin

“…ABSTRACT Background and Aim The move towards Open and Distance Learning (ODL) has changed students' overall lives and perspectives in Bangladesh. …”
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