The use of reference legal systems in the educational activity of lawyers by Natalya Mikhailovna Suetina

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Enhancing Software Sustainability: Leveraging Large Language Models to Evaluate Security Requirements Fulfillment in Requirements Engineering by Ahmad F. Subahi

“…This research emphasizes the role of non-functional equirements (NFRs) in developing secure software systems that enhance societal wellbeing by ensuring data protection, user privacy, and system robustness. …”
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The processes of lipid peroxidation in children with the attention deficit hyperactivity disorder and different interhemispheric relations of brain by E. V. Osipova, L. A. Grebyonkina, V. I. Mikhnovich, M. I. Dolgikh

“…Manifestations of ADHD may be the cause of impaired social and school adaptation, learning difficulties, reduced academic achievements. …”
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Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting by Hui-Dong Yin, Yi-Yang Li

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“School is Hard Even in Play”: Do Today's 4–7 Year Olds Want to Play School? by Margarita N. Gavrilova, Irina U. Surilova, Vera L. Sukhikh

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A Survey of 5G Core Network User Identity Protections, Concerns, and Proposed Enhancements for Future 6G Technologies by Paul Scalise, Michael Hempel, Hamid Sharif

“…In this paper, we explore the 5G specifications to understand the most important list of identifiers and their use across Virtual Network Functions (VNF), and points of exposure within the Core Network (CN). …”
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Digital Device Usage and Childhood Cognitive Development: Exploring Effects on Cognitive Abilities by Vicente Javier Clemente-Suárez, Ana Isabel Beltrán-Velasco, Silvia Herrero-Roldán, Stephanie Rodriguez-Besteiro, Ismael Martínez-Guardado, Alexandra Martín-Rodríguez, Jose Francisco Tornero-Aguilera

“…Methods: We conducted a comprehensive literature search across multiple databases, including PubMed, Embase, Scopus, and Web of Science, to critically assess cognitive domains such as attention, memory, executive functions, problem-solving skills, and social cognition. …”
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Multi-Objective Design and Optimization of Hardware-Friendly Grid-Based Sparse MIMO Arrays by Suleyman Gokhun Tanyer, Paul Dent, Murtaza Ali, Curtis Davis, Senthilkumar Rajagopal, Peter F. Driessen

“…A novel machine learning initialization approach is introduced for rapid convergence. …”
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Effect of fibroblast heterogeneity on prognosis and drug resistance in high-grade serous ovarian cancer by Tingjie Wang, Lingxi Tian, Bing Wei, Jun Li, Cuiyun Zhang, Ruitao Long, Xiaofei Zhu, Yougai Zhang, Bo Wang, Guangbo Tang, Jun Yang, Yongjun Guo

“…Then, we developed a novel text-mining-based machine-learning approach to deconstruct the evolutionary patterns of tumor cell functions. …”
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Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network by Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin

“…Thus, in this paper, a Radial Basis Function Neural Network (RBFNN) trained using Manta Ray Foraging Optimization algorithm (MRFO) is proposed. …”
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Perception of native vs. non-native language and non-speech sounds in one-week-old neonates: An fNIRS study by Yinchun Ma, Jianming Zhang, Ruochen Dang, Nan Wang, Yan Wang, Mei Yu, Mengmeng Chen, Peiting Shen, Quan Wang, Jinhua Huang

“…Background: Early infant phonological and non-phonological perceptual abilities are crucial for future language learning. Previous studies have focused on the changes in the cerebral cortex of infants and toddlers during speech perception, while the changes in the cerebral cortex during non-speech perception remain poorly understood. …”
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Shared pathogenic mechanisms linking obesity and idiopathic pulmonary fibrosis revealed by bioinformatics and in vivo validation by Linjie Chen, Haojie Chen, Zinan Chen, Kunyi Zhang, Hongsen Zhang, Jiahe Xu, Tongsheng Chen

“…Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were used to identify shared genes for obesity and IPF. Functional enrichment (GO/KEGG), protein-protein interaction (PPI) networks, and machine learning algorithms were applied to screen hub genes, validated by ROC curves. …”
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A robust multimodal brain MRI-based diagnostic model for migraine: validation across different migraine phases and longitudinal follow-up data by Jong Young Namgung, Eunchan Noh, Yurim Jang, Mi Ji Lee, Bo-yong Park

“…In this study, we aimed to integrate different types of magnetic resonance imaging (MRI), providing structural and functional information, and develop a robust machine learning model that classifies migraine patients from healthy controls by testing multiple combinations of hyperparameters to ensure stability across different migraine phases and longitudinally repeated data. …”
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Application of an improved pelican optimization algorithm based on comprehensive strategy in PV parameter identification by Xu Yong, Sang Bicong, Zhang Yi

“…The CEC2022 test function performed analysis and comparison with eight meta-heuristic algorithms. …”
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Non-intrusive Load Identification Method Based on the Online Self-organizing Incremental Neural Network—Non-intrusive load identification method based on the online self-organizing... by Zhengwei HU, Zhihong WANG, Ruixin CHANG, Zhiyuan XIE, Wangbin CAO

“…The functional modules were then ported and deployed on the HPS side of the SoC FPGA, achieving collaborative high-speed data communication between FPGA and HPS. …”
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Investigating Similarities Across Decentralized Finance (DeFi) Services by Junliang Luo, Stefan Kitzler, Pietro Saggese

“…To evaluate whether they are effectively grouped in clusters of similar functionalities, we associate them with eight financial functionality categories and use this information as the target label. …”
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Integrating necroptosis into pan-cancer immunotherapy: a new era of personalized treatment by Yan Gao, Sheng Chen, Lei Li

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Christian Values and Their Influence on Pedagogical Practice: Theological Foundations of Moral Education Formation by Jeong-In Park, Kyeong-Sook Kim, Jin-Ok Kim, Mi-Kyeong Jung, Jun-Ki Chung

“…The study employed historical-analytical, comparative, and structural functional methods. Through the historical-analytical method, the evolution of Christian pedagogical practices was traced from early educational initiatives to contemporary learning models. …”
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Quantitative differential phase contrast imaging system using FPGA for cellular imaging by Yen-Chih Yu, Sunil Vyas, J Andrew Yeh, Yuan Luo

“…This module integrates seamlessly with existing commercial microscopes, eliminating the need for additional optical components. A deep learning model is implemented to improve functionality, converting intensity images to phase data and requiring only a single image pair for isotropic phase reconstruction. …”
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Early thrombus detection in ECMO with optimized impedance measurements: A simulative study by Slapal Filip, Silva Diogo F., Leonhardt Steffen, Walter Marian

“…This study introduces a computational bioimpedance approach for early thrombus detection that integrates advanced modeling and machine learning techniques while preserving the oxygenator’s functionality.…”
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