Predicting specific wear rate of laser powder bed fusion AlSi10Mg parts at elevated temperatures using machine learning regression algorithm: Unveiling of microstructural morpholog... by Vijaykumar S. Jatti, R. Murali Krishnan, A. Saiyathibrahim, V. Preethi, Suganya Priyadharshini G, Abhinav Kumar, Shubham Sharma, Saiful Islam, Dražan Kozak, Jasmina Lozanovic

“…R-squared values and various error functions were employed to validate these strategies against the anticipated outcomes. …”
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El proceso de enseñanza-aprendizaje, enfoque sistémico de sus componentes en el deporte escolar (The teaching-learning process, a systemic approach to its components in school spor... by Orlando Llamas-Cruz, Teresa de Jesús Barreras Villavelázquez, Jaime Salvador Dorantes-González, Ma. Concepción Soto Valenzuela, Wilberth Velducea Velducea, Ramón Alfonso González Rivas

“…Keywords: physical culture, school sport, sport education, sport educator, physical education, teaching-learning process. …”
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Clays Are Not Created Equal: How Clay Mineral Type Affects Soil Parameterization by P. Lehmann, B. Leshchinsky, S. Gupta, B. B. Mirus, S. Bickel, N. Lu, D. Or

“…Clay mineral‐informed pedotransfer functions and machine learning algorithms trained with datasets including different clay types and soil structure formation processes improve SHMP representation regionally with broad implications for hydrological and geomechanical Earth surface processes.…”
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Evidence–Theoretical Modeling of Uncertainty Induced by Posterior Probability Distributions by Kałuża Daniel, Janusz Andrzej, Ślęzak Dominik

“…We discuss how the posterior probability distributions produced by machine learning models for analyzed objects can be transformed into evidence-theoretical mass functions that model uncertainties associated with operating those distributions. …”
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Tracing the change of the volatile compounds of soy sauce at different fermentation times by PTR-TOF-MS, E-nose and GC–MS by Qixin Kan, Longbipei Cao, Liping He, Peipei Wang, Guangdie Deng, Jun Li, Jiangyan Fu, Qingrong Huang, Chi-Tang Ho, Yunqi Li, Chunhui Xie, Yong Cao, Linfeng Wen

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Examining the application of nominalization in segmented abstracts: a corpus-based study by Yuan Yuwei

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Transcriptomic signatures of rare variant impacts across sex and the X chromosome by Rachel A. Ungar, Taibo Li, Nikolai G. Vetr, Nicole Ersaro, Alexis Battle, Stephen B. Montgomery

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Resting-state EEG microstate analysis reveals potential biomarkers for subclinical insomnia by Yujie Shi, Mengqi Ji, Fan Zhong, Rui Jiang, Zhuhong Chen, Chi Zhang, Yuting Li, Junpeng Zhang, Wen Wang

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Enterotype-stratified gut microbial signatures in MASLD and cirrhosis based on integrated microbiome data by Heng Yuan, Heng Yuan, Junyu Zhou, Junyu Zhou, Xuangao Wu, Shiwei Wang, Sunmin Park, Sunmin Park

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Strategies to Improve School-Based Support Towards Access and Success of Rural Learners by Adziliwi Martha Netshipale, Lloyd Daniel Nkoli Tlale, Thembi AL Phala

“…The findings revealed that three out of five schools did not have functional school-based support teams in place and conducted unstructured and disorganised support services in silos. …”
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Fundamental and Application of Co-assembly of Peptides and Proteins: Experiment and Computation by Newton A. Ihoeghian, Qing Shao

“…These co-assemblies create a design space of functional materials for a wide spectrum of energy, environmental, and biomedical applications. …”
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‘SKIF’ SUPPORT SYSTEM OF DISTANCE EDUCATION ON BASIS OF MOODLE SOFTWARE IN DSTU by Olga A. Zakharova

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Mental Imagery between Cognition and Emotion: A Narrative Review by Francesco Maria Boccaccio, Alessia Pennisi, Claudia Savia Guerrera, Giuseppe Alessio Platania, Vittoria Torre, Simone Varrasi, Venera Francesca Vezzosi, Flavia Coco, Sabrina Castellano, Concetta Pirrone

“…It emphasizes the significant role of mental imagery on different cognitive functions, with a particular focus on learning processes in different contexts, such as school career, motor skill acquisition, and rehabilitation. …”
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Artificial Intellect and Methodology of Economic Science by M. V. Dubovik, S. G. Dmitriev

“…In machine learning it is impossible to rely only on ‘black box’ functioning and neglect the role of man in decision-making.  …”
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Information Communication Technologies in Teaching English as a Foreign Language: Analysing EFL Teachers’ TPACK in Czech Elementary Schools by Dev Raj Paneru

“…According to analyses based on conservative practices, teachers expressed that mechanical TPACK in association with technology in classes limited the transmission of mechanical knowledge from English texts. In Functional Practice, however, teachers drawing upon alternative learning interactions expressed positive transformation results from TPACK, associated with the use of technologies integrated into class instructions as a collaborative tool for learning models. …”
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Effectiveness of Virtual Reality Social Skills Training for Students with Autism and Social Difficulties Observed Through Behavior and Brain Waves by Chia-Chi Yeh, Ying-Ru Meng

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Infrared spectrum analysis of organic molecules with neural networks using standard reference data sets in combination with real-world data by Dev Punjabi, Yu-Chieh Huang, Laura Holzhauer, Pierre Tremouilhac, Pascal Friederich, Nicole Jung, Stefan Bräse

“…Abstract In this study, we propose a neural network- based approach to analyze IR spectra and detect the presence of functional groups. Our neural network architecture is based on the concept of learning split representations. …”
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Designing a Platform for Additional Subject Training of Schoolchildren Based on Professional Requests of Teachers by P. S. Lomasko, A. L. Simonova, D. A. Barkhatova, L. B. Khegay

“…The results of a questionnaire survey conducted by the authors are analyzed in order to determine the attitude of teachers of the Krasnoyarsk region to the idea of developing a new regional platform for additional subject training of schoolchildren and identifying the requests of its potential users in the field of structure, design, functional and technological characteristics.Results. …”
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Investigation of the Pathogenesis of Liver Fibrosis Associated with Type 2 Diabetes Mellitus via Bioinformatic Analysis by Zhiyu Xiong, Kan Shu, Yingan Jiang

“…Machine learning algorithms were then applied to identify key genes. …”
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Comprehensive analysis and validation of autophagy-related gene in rheumatoid arthritis by Runrun Zhang, Runrun Zhang, Wenhan Huang, Wenhan Huang, Ting Zhao, Ting Zhao, Jintao Fang, Jintao Fang, Cen Chang, Cen Chang, Dongyi He, Dongyi He, Xinchang Wang, Xinchang Wang

“…Bioinformatics and machine learning approaches were used to identify key biomarkers. …”
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