A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection by Anas M. Al-Oraiqat, Oleksandr Drieiev, Sattam Almatarneh, Mohammadnoor Injadat, Karim A. Al-Oraiqat, Hanna Drieieva, Yassin M. Y. Hasan

“…Recent systems take advantage of the synergy between machine learning, data mining, and image processing to extract/analyze features from crowded zones and recognize patterns and anomalies from the crowd behavior. …”
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Identification of Online Health Information Using Large Pretrained Language Models: Mixed Methods Study by Dongmei Tan, Yi Huang, Ming Liu, Ziyu Li, Xiaoqian Wu, Cheng Huang

“…The principal findings highlight the models’ ability to generate accessible and context-aware explanations; however, they fall short in areas requiring specialized medical knowledge or updated data, particularly for emerging health issues and context-sensitive scenarios. Significant discrepancies were observed in the models’ ability to distinguish scientifically verified knowledge from popular misconceptions and in their stability when processing complex linguistic and cultural contexts. …”
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Gallic acid based green corrosion inhibitor for mild steel in 1 M HCl electrochemical and microbial assessment with theoretical validation by Ahmed. E. Suliman, Ahmed H. Mangood, Naema S. Yehia, M. Abdelraouf, Hany A. Batakoushy, Moaz M. Abdou, E. G. Zaki

“…Abstract The petroleum industry, characterized by the significant investment in costly equipment and devices utilized in the extraction, production, or processing of crude oil, can result in the loss of valuable assets or the crude itself. …”
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Beyond Peat: Wood Fiber and Two Novel Organic Byproducts as Growing Media—A Systematic Review by Anna Elisa Sdao, Nazim S. Gruda, Barbara De Lucia

“…We aimed to comprehensively analyze their origin, processing methods, current applications, and key physical, hydrological, and chemical properties relevant to horticultural use. …”
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GDPR and Large Language Models: Technical and Legal Obstacles by Georgios Feretzakis, Evangelia Vagena, Konstantinos Kalodanis, Paraskevi Peristera, Dimitris Kalles, Athanasios Anastasiou

“…Large Language Models (LLMs) have revolutionized natural language processing but present significant technical and legal challenges when confronted with the General Data Protection Regulation (GDPR). …”
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A Mini-Review on Multi-Hurdle Control of <i>Salmonella</i> Along Poultry Production Continuum by Eniola Betiku, T. Tiwa Ogundipe, Tanmaie Kalapala, Tomi Obe

“…Collaborative efforts between researchers, industry stakeholders, and policymakers are necessary to address emerging issues and enhance overall effectiveness.…”
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Design and evaluation of a voltage-controlled current source for galvanic vestibular stimulation research by Zhi Liu, Shieru Suzuki, Tatsuki Fushimi, Yoichi Ochiai

“…The prototyping of such devices necessitates rigorous testing and calibration, processes that are both resource-intensive and time-consuming. …”
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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

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A systematic review of AI-powered collaborative learning in higher education: Trends and outcomes from the last decade by Attila Kovari

“…It also identifies two other critical issues: good task design and effective emotional engagement and social presence in AI-based environments. …”
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YOLO-Wheat: A More Accurate Real-Time Detection Algorithm for Wheat Pests by Yongkang Liu, Qinghao Wang, Qi Zheng, Yong Liu

“…We provide an enhanced algorithm, YOLO-Wheat, based on YOLOv8, to solve the aforementioned issues. The proposed YOLO-Wheat, an extension of YOLOv8, integrates SimAM into the C2f module to enhance feature extraction capabilities. …”
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Multi-Modal Federated Learning Over Cell-Free Massive MIMO Systems for Activity Recognition by Seyed Mohammad Sheikholeslami, Pai Chet Ng, Jamshid Abouei, Konstantinos N. Plataniotis

“…To tackle these issues, we propose a late-fusion model architecture that allows flexible client participation with any combination of data modalities, and formulate an optimization problem to jointly minimize latency and global loss in MFL. …”
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State-of-the-Art on IoV-Based Deep Learning Framework for Enhanced Driving Behavior Recognition: Recent Progress, Technology Updates, Challenges, and Future Direction by Hongguang Li, Shafrida Sahrani, Mahidur R. Sarker, Yinglin Xiao

“…The analysis reveals that data quality, computational demands, and privacy issues are currently hindering the full realization of this technology. …”
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Research and Construction of Knowledge Map of Golden Pomfret Based on LA-CANER Model by Xiaohong Peng, Hongbin Jiang, Jing Chen, Mingxin Liu, Xiao Chen

“…To address the issues of fragmented species information, low knowledge extraction efficiency, and insufficient utilization in the aquaculture domain, the main objective of this study is to construct the first knowledge graph for the Golden Pomfret aquaculture field and optimize the named entity recognition (NER) methods used in the construction process. …”
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New academic journals: an international overview of indexing and access models by Rosangela Rodrigues, Cristóbal Urbano, Patrícia Neubert, José Miguel Rodríguez-Gairín, Marta Somoza-Fernández

“…The data were collected from Crossref and other databases and processed with the resources of the Information Matrix for the Analysis of Journals. …”
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AECA-FBMamba: A Framework with Adaptive Environment Channel Alignment and Mamba Bridging Semantics and Details by Xin Chai, Wenrong Zhang, Zhaoxin Li, Ning Zhang, Xiujuan Chai

“…Specifically, this work introduces the Adaptive Environment Channel Alignment (AECA) module at the input stage, processing independently grouped color channels to enhance robust channel-wise feature extraction. …”
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REALITIES AND PROSPECTS OF MANAGING THE DEVELOPMENT OF AGRICULTURAL BUSINESS IN UKRAINE by Tetiana SHMATKOVSKA, Oksana AGRES, Yurii LUCHECHKO, Liudmyla KOROBCHUK, Nataliia NAUMENKO, Maksym VOICHUK, Mykola DZIAMULYCH

“…The main problematic issues that the government needs to solve to ensure the stability of the agrarian business and the possibility of its further effective functioning are presented.…”
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The Influence of Workplace-Integrated Exercise Snacks on Cognitive Performance in Sedentary Middle-Aged Adults—A Randomized Pilot Study by Jonas P. Mues, Stefan Flohr, Nicolas Kurpiers

“…Sedentary behavior is increasingly recognized as a risk factor for various health issues, including cognitive decline. Objectives: This pilot study examined the acute and chronic effects of workplace-integrated exercise snacks—short, vigorous bouts of exercise—on cognitive performance in middle-aged adults. …”
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Geospatial dataset on deforestation and urban sprawl in Dhaka, Bangladesh: A resource for environmental analysisMendeley Data by Md. Fahad Khan, Md. Rakibul Islam, Shanto Kumar Basak, Ahmed Imtiaz, Abhijit Bhowmik, Dip Nandi, Mashiour Rahman, Debajyoti Karmaker

“…It provides critical insights into the application of machine learning and image processing in addressing real-world environmental issues.…”
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Multiscale Materials Imaging and Spectroscopy for Battery Materials by Youngwoo Choi, Gumin Kang, Seonghyun Kim, Yoonhan Cho, Jaewhan Oh, Dongho Kim, Jacob Choe, Jong Min Yuk, Pyuck‐Pa Choi, Yongsoo Yang, Sung‐Yoon Chung, Chi Won Ahn, Jongwoo Lim, Seungbum Hong

“…Moreover, the integration of machine learning accelerates data processing, enabling multiscale correlations and predictive modeling. …”
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TEACHER EDUCATION AND FEATURES OF THE CONTEMPORARY EDUCATIONAL CONTEXT by Irina G. Zakharova

“…The purpose of this paper is to study changes in the conditions of the educational process associated with the development of information and communication technologies (ICT).Methods. …”
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