Galvanic Skin Response and Photoplethysmography for Stress Recognition Using Machine Learning and Wearable Sensors by Alina Nechyporenko, Marcus Frohme, Yaroslav Strelchuk, Vladyslav Omelchenko, Vitaliy Gargin, Liudmyla Ishchenko, Victoriia Alekseeva

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Self-Supervised Learning to Unveil Brain Dysfunctional Signatures in Brain Disorders: Methods and Applications by Ying Li, Yanwu Yang, Yuchu Chen, Chenfei Ye, Ting Ma

“…Self-supervised learning (SSL) models offer a transformative approach for mapping dependencies in functional neuroimaging data. …”
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Evaluation of an Experimental Virtual Learning Environment of Winemaking for Middle School and College Students in Chile by Claudio Fredes, Sergio Espinoza

“…This paper analyzed the learning of the winemaking process as well as the likeability and functionality of BITWINE for university and technical school students. …”
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Advancing organic photovoltaic materials by machine learning-driven design with polymer-unit fingerprints by Xiumin Liu, Xinyue Zhang, Ye Sheng, Zihe Zhang, Pan Xiong, Xuehai Ju, Junwu Zhu, Caichao Ye

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Predictive modelling of hospital-acquired infection in acute ischemic stroke using machine learning by Chun-Wei Chang, Chien-Hung Chang, Chia-Yin Chien, Jian-Lin Jiang, Tsai-Wei Liu, Hsiu-Chuan Wu, Kuo-Hsuan Chang

“…In conclusion, machine learning models effectively identify the HAI occurrence and predict poor 30-day functional outcomes in AIS patients with HAI. …”
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OWL model of multi-agent Smart-system of distance learning for people with vision disabilities by Galina A. Samigulina, Asem S. Shayakhmetova, Adlet Nyusupov

“…These agents execute their individual functions and provide a quality environment for learning.Conclusion. …”
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Efficacy of Virtual Technology as the Way Forward for Teaching and Learning with the Experience of a Global Pandemic by Emerson Abraham Jackson

“…Functionalities embedded in the most commonly used platform like MOODLE and Google-Meet have integrated functionalities to support both virtual classroom and assessment components as opposed to that of WebEx and ZOOM. …”
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Identification of Staphylococcus aureus virulence-modulating RNA from transcriptomics data with machine learning by Jinlong Yu, Mingzhang Li, Jin Wang, Musha Hamushan, Feng Jiang, Boyong Wang, Yujie Hu, Pei Han, Jin Tang, Geyong Guo, Hao Shen

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Bioinspired learning and memory in ionogels through fast response and slow relaxation dynamics of ions by Ning Zhou, Ting Cui, Zhouyue Lei, Peiyi Wu

“…While significant progress has been made in sensory functions in ionogels, their learning and memory capabilities still lag behind biological systems. …”
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Sex Differences in Intelligence on the WISC: A Meta-Analysis on Children with Specific Learning Disabilities by Lorenzo Esposito, David Giofrè

“…In particular, some studies suggest that cognitive functioning may differ between males and females. In this framework, the present study aims to investigate, through a meta-analytical approach, whether there are sex differences in the profiles emerging from the WISC battery in children with a Specific Learning Disability. …”
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Technology-enhanced environmental learning: a practical guide to educational areas for urban educators by Ewa Duda

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Online Whiteboard Tool for Team Collaboration in the Foreign Language Classroom Via E-learning by A. V. Glotova

“…Various functionalities of the Linoit tool were tested in the format of joint work of students in the process of conducting practical classes during the organization of e-learning with the use of distance learning technologies for students of 1-4 years of study areas 46.03.01 “History”, 01.03.02 “Applied Mathematics and Informatics”. …”
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Electrophysiological effects of kappa-opioid analgesic, RU-1205, using machine learning methods by K. Yu. Kalitin, O. Yu. Mukha, A. A. Spasov

“…It is assumed that this effects may be due to its functional selectivity, or the presence of an additional mechanism of action that involves blocking p38 mitogen-activated protein kinase (MAPK).The aim of the study was an experimental identification of RU-1205 mechanisms of action associated with the inhibition of MAPK p38 and functional selectivity for kappa opioid receptors.Materials and methods. …”
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A Comprehensive Investigation on Allegations of Irregularities in the Employment of the Learned Profession in the Age of Suleyman the Magnificent by Mehmet İpşirli

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Regional resource platform for lifelong learning as a potential for improving professional competences of teachers by Zhanna V. Murzina, Tamara V. Andrushchenko

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Augmented Reality and Learning-Cognitive Outcomes in Autism Spectrum Disorder: A Systematic Review by Cristina Fuentes, Soledad Gómez, Simona De Stasio, Carmen Berenguer

“…The findings revealed that AR interventions contributed to improvements in multiple learning domains, including language acquisition, reading comprehension, mathematics, science education, executive functioning, and attention. …”
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Open-World Semi-Supervised Learning for fMRI Analysis to Diagnose Psychiatric Disease by Chang Hu, Yihong Dong, Shoubo Peng, Yuehan Wu

“…To improve open-world semi-supervised representation learning and classification in fMRI under low-label settings, we propose a novel open-world semi-supervised learning approach tailored for functional magnetic resonance imaging analysis, termed Open-World Semi-Supervised Learning for fMRI Analysis (OpenfMA). …”
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Challenges of projectification in an engineering school: Lessons learned and room for improving the whole performance of the institution by Claudette El Hajj, Germán Martínez Montes

“…This management model affects all the activities carried out by universities, particularly teaching and research, as well as the way staff must perform their functions. Like all models, project-oriented management has its opportunities and challenges. …”
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Reverse Engineering Segment Routing Policies and Link Costs With Inverse Reinforcement Learning and EM by Kai Wang, Chee Wei Tan

“…Network routing is a core functionality in computer networks that holds significant potential for integrating newly developed techniques with minimal software effort through the use of Software-Defined Networking (SDN). …”
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Enhancing Network Slicing Architectures With Machine Learning, Security, Sustainability and Experimental Networks Integration by Joberto S. B. Martins, Tereza C. Carvalho, Rodrigo Moreira, Cristiano Bonato Both, Adnei Donatti, Joao H. Correa, Jose A. Suruagy, Sand L. Correa, Antonio J. G. Abelem, Moises R. N. Ribeiro, Jose-Marcos S. Nogueira, Luiz C. S. Magalhaes, Juliano Wickboldt, Tiago C. Ferreto, Ricardo Mello, Rafael Pasquini, Marcos Schwarz, Leobino N. Sampaio, Daniel F. Macedo, Jose F. De Rezende, Kleber V. Cardoso, Flavio De Oliveira Silva

“…The Slicing Future Internet Infrastructures (SFI2) architecture proposal explores the gap resulting from the diversity of NS architectures target domains by proposing a new NS reference architecture with a defined focus on integrating experimental networks and enhancing the NS architecture with Machine Learning (ML) native optimizations, energy-efficient slicing, and slicing-tailored security functionalities. …”
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