Green environmental management system and environmental performance: Results from PLS-SEM and fsQCA by Abdalwali Lutfi, Ahmad Al-Hiyari, Ibrahim A. Elshaer, Mahmaod Alrawad, Mohammed Amin Almaiah

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Detrended Fluctuation Analysis of Gait Cycles: A Study of Neuromuscular and Ground Force Dynamics by Soumya Prakash Rana, Maitreyee Dey

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Intelligent Priority-Aware Spectrum Access in 5G Vehicular IoT: A Reinforcement Learning Approach by Adeel Iqbal, Tahir Khurshaid, Yazdan Ahmad Qadri

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THE COLLABORATIVE DESIGNING OF A PERSONALIZED HYBRID LMS USING A VIRTUAL MACHINE IN A CLOUD ENVIRONMENT by Lina Čeponienė, Péter Galambos, Tamás Haidegger, Dariusz Mikulowski, Branislav Mišota, Oliver Moravcik, Enikő Nagy, Mariya P. Shyshkina, Pavel Smolka, Stefan Svetsky

“…The authors offer their own approach to solving the problem of processing educational information to support a virtual team's work. As part of collaborative research in the field of technology-enhanced education and e-Learning design, the international team in the V4 EDUPORT project is implementing a personalized hybrid system on the IT infrastructure consisting of a specially designed desktop application WPad or web application (PIKS) and a common shared remote computer (virtual computer on a cloud server with Windows 2022). …”
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Assessment of human emotional reactions to visual stimuli “deep-dreamed” by artificial neural networks by Agnieszka Marczak-Czajka, Timothy Redgrave, Mahsa Mitcheff, Michael Villano, Adam Czajka

“…Correlations between arousal and valence values and image visual properties (e.g., color, brightness, clutter feature congestion, and clutter sub-band entropy) as well as the position of the CNN's layers stimulated to obtain a given image were calculated.ResultsSynthesized images that maximized activations of some of the CNN layers led to significantly higher or lower arousal and valence levels compared to average subject's reactions. Multiple linear regression analysis found that a small set of selected image global visual features (hue, feature congestion, and sub-band entropy) are significant predictors of the measured arousal, however no statistically significant dependencies were found between image global visual features and the measured valence.ConclusionThis study demonstrates that the specific method of synthesizing images by maximizing small and precisely-selected parts of the CNN used in this work may lead to synthesis of visual stimuli that enhance or attenuate emotional reactions. …”
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Few-Shot Learning With Prototypical Networks for Improved Memory Forensics by Muhammad Fahad Malik, Ammara Gul, Ayesha Saadia, Faeiz M. Alserhani

“…This approach achieves an average accuracy of 92% with eleven classes, the highest across all scenarios and comparable to previous work using machine and deep learning algorithms on this dataset.…”
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An Empirical Study of Different Approaches for Protein Classification by Loris Nanni, Alessandra Lumini, Sheryl Brahnam

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LLM-Based Response Generation for Korean Adolescents: A Study Using the NAVER Knowledge iN Q&A Dataset with RAG by Junseo Kim, Seok Jun Kim, Junseok Ahn, Suehyun Lee

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Experimental study of the deformed state of metal structures of load trolleys of overhead cranes with a multipurpose layout drawing by Denisov I.A.

“…An assessment was made of the influence of the type of applied connections of load-bearing elements on the features of the resulting deformed state of the metal structure. A comparative analysis of experimental data and calculated values of vertical displacements of points of metal structures obtained as a result of computer simulation of the formed state using various finite element models is performed.…”
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Exploring the future of privacy-preserving heart disease prediction: a fully homomorphic encryption-driven logistic regression approach by Vankamamidi S. Naresh, Sivaranjani Reddi

“…The study’s design involved applying the HELR model to three healthcare datasets and comparing its performance with Support Vector Machines (SVM). …”
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IoT enabled health monitoring system using rider optimization algorithm and joint process estimation by J. Prabin Jose, G. Jaffino, Mohammed Al Awadh, Koppula Srinivas Rao, Yan Yafang, Krishna Moorthy Sivalingam

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Design and fabrication of customized brain slice matrices using CAD and 3D printing technology. by Yosuke Yamazaki, Maki Yuguchi, Bin Honjo, Keitaro Isokawa

“…This study presents a novel method for creating customized brain slice matrices using Computer-Aided Design (CAD) and 3D printing technology. …”
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Features of municipal services digitalization in Iraq by Svetlana V. Panikarova, Saif S. M. AL-zuwaini

“…It was established that 60% of municipal bodies are equipped with modern computer systems, while only 40% have high-speed internet connectivity. …”
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THEORETICAL AND METHODOLOGICAL ASPECTS OF USING INFORMATION ANDCOGNITIVE TECHNOLOGIES IN THE TRAINING OF TRANSPORT SPECIALISTS by Lavrentieva Olena, Krupskyi Oleksandr

“…In the educational process, they are designed to support students in setting and solving creative tasks that are difficult to formalize, as well as to reveal and effectively operate their cognitive potential. …”
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Application of hyperthermia robots in Cyber-syndrome treatment by Xueyan YIN, Feifei SHI, Jinqiang WANG, Huansheng NING

“…It summarizes the structure and working principles of six types of thermotherapy robots (including four domestic robots and two foreign robots), and makes a comparative analysis from the aspects of hyperthermia types, positioning methods, advantages, and targeting Cyber-syndrome. …”
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Application of machine learning techniques for churn prediction in the telecom business by Raji Krishna, D. Jayanthi, D.S. Shylu Sam, K. Kavitha, Naveen Kumar Maurya, T. Benil

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Privacy and Security in the Metaverse: Trends, Challenges, and Future Directions by Jagdeep Singh, Parminder Singh, Ranjodh Kaur, Avinash Kaur, Mustapha Hedabou

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Neural Personalized Ranking via Poisson Factor Model for Item Recommendation by Yonghong Yu, Li Zhang, Can Wang, Rong Gao, Weibin Zhao, Jing Jiang

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Multi-Class Skin Cancer Classification Using a Hybrid Dynamic Salp Swarm Algorithm and Weighted Extreme Learning Machines with Transfer Learning by Ramya Panneerselvam, Sathiyabhama Balasubramaniam

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Applying improved particle swarm optimization for dynamic service composition focusing on quality of service evaluations under hybrid networks by Honghao Gao, Kang Zhang, Jianhua Yang, Fangguo Wu, Hongsheng Liu

“…First, this work classifies hybrid services into different task groups to generate candidate sets and then interface matching is used to compare the operations of candidate services with user requirements to select the appropriate services. …”
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