WGAN-DL-IDS: An Efficient Framework for Intrusion Detection System Using WGAN, Random Forest, and Deep Learning Approaches by Shehla Gul, Sobia Arshad, Sanay Muhammad Umar Saeed, Adeel Akram, Muhammad Awais Azam

“…The rise in cyber security issues has caused significant harm to tech world and thus society in recent years. Intrusion detection systems (IDSs) are crucial for the detection and the mitigation of the increasing risk of cyber attacks. …”
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Investigation of groundwater quality indices and health risk assessment of water resources of Jiroft city, Iran, by machine learning algorithms by Sobhan Maleky, Maryam Faraji, Majid Hashemi, Akbar Esfandyari

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Improving fMRI-Based Autism Severity Identification via Brain Network Distance and Adaptive Label Distribution Learning by Junling Du, Shangyu Wang, Rentong Chen, Shaoping Wang

“…Machine learning methodologies have been profoundly researched in the realm of autism spectrum disorder (ASD) diagnosis. …”
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Analysis of an intergenerational service-learning experience based on physical exercise in a community setting: a mixed-method study by Beatriz Alonso-Cortés Fradejas, Raquel Lafuente-Ureta, Sandra Calvo, Sandra Calvo, Mario Fernández-Gorgojo, Jose Lesmes Poveda-López, Carolina Jiménez-Sánchez, Carolina Jiménez-Sánchez

“…Universities play a key role in promoting the health of students by proposing actions that contribute to a sustainable future, fostering a mature society and reducing ageism. This service-learning project aimed to assess the impact of an intergenerational cane-walking program on older adults and physiotherapy students in a community setting. …”
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The impact of teacher emotional support on learning engagement among college students mediated by academic self-efficacy and academic resilience by Wenjing Guo, Juan Wang, Na Li, Luxin Wang

“…Abstract College students’ learning engagement not only significantly influences their academic performance but also plays a vital role in their future career development. …”
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Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids by Xin-Ru Wen, Jia-Wei Tang, Jie Chen, Hui-Min Chen, Muhammad Usman, Quan Yuan, Yu-Rong Tang, Yu-Dong Zhang, Hui-Jin Chen, Liang Wang

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Development of an individualized dementia risk prediction model using deep learning survival analysis incorporating genetic and environmental factors by Shiqi Yuan, Qing Liu, Xiaxuan Huang, Shanyuan Tan, Zihong Bai, Juan Yu, Fazhen Lei, Huan Le, Qingqing Ye, Xiaoxue Peng, Juying Yang, Yitong Ling, Jun Lyu

“…Abstract Background Dementia is a major public health challenge in modern society. Early detection of high-risk dementia patients and timely intervention or treatment are of significant clinical importance. …”
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From Continent to Ocean: Investigating the Multi-Element and Precious Metal Geochemistry of the Paraná-Etendeka Large Igneous Province Using Machine Learning Tools by J. J. Lindsay, H. S. R. Hughes, C. M. Yeomans, J. C. Ø. Andersen, I. McDonald

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Training information service specialists in the less favoured regions of the European Union (TRAIN-ISS) by I. Owens, F. Wood, T.D. Wilson, A.M.R. Correia

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Learning from our vulnerabilities: Insights from Octavia E. Butler’s parable of the sower and West Sumatra’s 2024 flood disasters by Sandika Edria, Rizano Gindho, Yeni Marliza

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Machine Learning–Based Risk Factor Analysis and Prediction Model Construction for the Occurrence of Chronic Heart Failure: Health Ecologic Study by Qian Xu, Xue Cai, Ruicong Yu, Yueyue Zheng, Guanjie Chen, Hui Sun, Tianyun Gao, Cuirong Xu, Jing Sun

“… BackgroundChronic heart failure (CHF) is a serious threat to human health, with high morbidity and mortality rates, imposing a heavy burden on the health care system and society. With the abundance of medical data and the rapid development of machine learning (ML) technologies, new opportunities are provided for in-depth investigation of the mechanisms of CHF and the construction of predictive models. …”
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Walk the Talk: The Impact of Health Promotion and Wellness Curriculum on Wellness, Motivation, Learning, and Academic Success in Pre-Service Fitness and Health Professionals by Erin Dancey, Heather Harrison, Michael Williams-Bell

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First-principles based data-driven strain engineering for ferroelectrics via active machine learning: A nonlinear piezoelectric constitutive equation by Susumu MINAMI, Yasuaki MARUYAMA, Yoshimasa ABE, Tomohiro NAKAYAMA, Takahiro SHIMADA

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Project-Based Learning methodology (PBL) for the acquisition of Transversal Competences (TCs) and integration of Sustainable Development Goals (SDGs) in mechanical engineering subj... by Carlos Llopis-Albert, Francisco Rubio, Vicente Mata-Amela, Carlos Devece, María Eugenia Torner-Feltrer, Shouzhen Zeng

“…The results show the need to continue working in the project and implementing active teaching techniques, such as PBL methodologies, to achieve a more attractive and motivating subject, closer to the labour market and a sustainable society.…”
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Machine Learning for Movement Pattern Changes during Kinect-Based Mixed Reality Exercise Programs in Women with Possible Sarcopenia: Pilot Study by Yunho Sung, Ji-won Seo, Byunggul Lim, Shu Jiang, Xinxing Li, Parivash Jamrasi, So Young Ahn, Seohyun Ahn, Yuseon Kang, Hyejung Shin, Donghyun Kim, Dong Hyun Yoon, Wook Song

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Predicting 30-day mortality in severely injured elderly patients with trauma in Korea using machine learning algorithms: a retrospective study by Jonghee Han, Su Young Yoon, Junepill Seok, Jin Young Lee, Jin Suk Lee, Jin Bong Ye, Younghoon Sul, Se Heon Kim, Hong Rye Kim

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Spatial and social relevance perceptions by pre-service teachers of learning about oil palm management as a local or nonlocal socioscientific issue by Finn Kristen Matthiesen, Gina Nolte, Finn Rehling, I Gede Arjana, Lola Utama Sitompul, Upik Yelianti, Susanne Bögeholz, Susanne Bögeholz

“…Utility value is a specific construct of perceived relevance, which refers to the usefulness of learning about objects for a person's life, profession, and society. …”
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Education of the Post-Industrial Era: Setting on Person and Intelligence by O. K. Krokinskaya

“…But if students are offered well-organized research practices instead of imitations of scientific work, then they form the true key competencies necessary for modern society – a willingness to be in search, continuously learn and create new solutions for new tasks, contribute to the development of good conceptual language, cooperation in group work, courage in posing problems, readiness to work with complex problems. …”
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Accurate Modeling of GaN HEMTs Oriented to Analysis of Kink Effects in S₂₂ and h₂₁: An Effective Machine Learning Approach by Zegen Zhu, Gianni Bosi, Antonio Raffo, Giovanni Crupi, Jialin Cai

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SHAPING FOREIGN LANGUAGE EDUCATION IN EUROPE TOGETHER: THE EUROPEAN UNION AND THE COUNCIL OF EUROPE by Norica Felicia BUCUR

“…Moreover, by critically analysing the recent past related to foreign language education in this region, our paper might offer a useful key to better understanding the present and possibly might help raise greater awareness of the importance of foreign language skills in today’s globalized society.…”
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