Circular saw blade wear status prediction based on generative adversarial network and CNN-LSTM model. by Chao Zeng, Chengchao Wang, Xueqin Xiong, Xiangjiang Wang, Sheng Xiao

“…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…”
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Electrochemical Behavior and Reclamation of Beryllium Scrap in Molten Salt by Yuzhen Chen, Shaolong Li, Zepeng Lv, Wen Luo, Peng Qiao, Dongxin Wang, Jilin He, Jianxun Song

“…The effects of current density on beryllium deposition morphology and removal efficiency have been further investigated. This research provides a novel approach to beryllium scrap purification, contributing significantly to the optimization of the beryllium supply chain and offering valuable insights into sustainable metal refinement practices.…”
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ECONOMIC GROWTH UNDER THE INFLUENCE OF TECHNICAL AND TECHNOLOGICAL CHANGES OF INDUSTRY 5.0 by Kateryna Kraus, Nataliia Kraus, Yuliia Radzikhovska

“…WIPO's analytical materials provide a picture of the current state of innovation and digitisation, allowing for targeted and methodologically substantiated research. …”
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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

“…Key signal processing techniques used during this process include spectral features, connectivity analysis, and frontal asymmetry detection, which helped enhance the performance of recognition. Despite these advances, challenges remain more significant in real-time EEG processing, where a trade-off between accuracy and computational efficiency limits practical implementation. …”
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Identification of right ventricular dysfunction with LogNNet based diagnostic model: A comparative study with supervised ML algorithms by Mehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Şebnem Karaoğlanoğlu, Bünyamin Sertoğullarından, Sıddık Keskin, Dmitry Korzun

“…LogNNet achieved robust results with only a few selected features, making it suitable for applications in resource-limited environments. LogNNet provides a practical and accessible tool for early RVD detection using PE patient data and has been shown to support applications in healthcare innovations aimed at improving patient outcomes and resilience in edge devices, clinical decision support systems, and challenging environments. …”
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Open Innovation the Impact of Social Capital on Tourism Growth Through the Mediating Role of Open Innovation (Case study: The municipality of Khomam County) by Seyed Hamed Hashemi, Hossein Poorghasem

“…Managers of organizations should use the most advanced and integrated management system available to provide better services to their customers. …”
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Application of interactive personnel adaptation: tools and challenges by I. V. Shapka, N. V. Yashkina, A. V. Khridochkin, I. P. Oleshkevich

“…The analysis of interactive adaptation reveals not only the theoretical aspects of this approach, but also takes into account the practical use and possible challenges faced by management and staff in the process of implementing this concept, which allows you to plan in advance and prepare for the effective application of interactive adaptation in a specific organizational environment.…”
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Magnetic response of topological insulator layer with metamaterial substrate induced by an electric point source by Qiang Sun, Eitan Dvorquez, Felipe A Pinto, Mohan C Mathpal, Jerónimo R Maze, Brant C Gibson, Andrew D Greentree

“…Overall, our study provides a practical and effective approach to exploring the unique magnetic field responses of TIs, potentially benefiting other complex material systems.…”
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A Review on Language-Independent Search on Speech and its Applications by Sushil Venkatesh Kulkarni, Sukomal Pal

“…The study examines modern spoken-term detection systems, highlighting significant advancements and performance improvements. It delves into various speech recognition techniques used in cross-media retrieval systems and machine learning methodologies, emphasizing the practical information retrieval capabilities of cross-modal learning approaches. …”
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Monitoring protected areas by integrating machine learning, remote sensing and citizen science by Thijs L. van derPlas, David G. Alexander, Michael J. O. Pocock

“…Here, we review these techniques and discuss how they can be applied to habitat condition monitoring. Practical implication. Together, these advances in ML can deliver high‐resolution biodiversity data that can be tailored to local priorities, enabling the efficient monitoring of PAs at scale, with the potential to support spatial land use decision‐making.…”
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Comprehensive Research on Graphene Applications: From Property Exploration to Cross-Domain Technological Innovation by Wang Hongyuan

“…Optimizing synthesis methods and promoting cross-sector collaboration are identified as crucial steps to bridge the gap between lab-scale innovation and commercial viability. These findings provide actionable insights for policymakers, engineers, and researchers to prioritize graphene development in high- impact domains, ultimately driving technological and industrial progress globally.…”
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Ecological resilience study in mining area: Current status and future trends by Xinyu Deng, Wu Xiao, Jiwang Guo

“…This paper delineates the core concepts, research framework, and assessment methods of social and ecological resilience in mining area (SERMA), and provide a comprehensive overview of the principal applications, limitations, proposed enhancements, and future development of SERMA from conceptual, theoretical, and practical standpoints. …”
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A Review of Strategies to Improve the Electrocatalytic Performance of Tungsten Oxide Nanostructures for the Hydrogen Evolution Reaction by Meng Ding, Yuan Qin, Weixiao Ji, Yafang Zhang, Gang Zhao

“…In this review, recent advances related to WO3-based electrocatalysts for the HER are introduced. …”
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Sperm Membrane Stability: In-Depth Analysis from Structural Basis to Functional Regulation by Shan-Hui Xue, Bing-Bing Xu, Xiao-Chun Yan, Jia-Xin Zhang, Rui Su

“…In livestock reproduction, membrane stability research facilitates the optimization of cryoprotectant formulations and freezing protocols, resulting in 15–25% improvements in post-thaw sperm survival rates and enhanced artificial insemination success. These findings provide valuable insights for advancing assisted reproductive technologies and improving reproductive efficiency in animal husbandry.…”
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Self‐Warning and Self‐Repairing Mechanisms in Functional Coatings: A Review by Yixin Chen, Qian Wang, Lifeng Hou, Hao Huang, Zhiqiang Gao, Yinghui Wei

“…Meanwhile, the current progress of substituting dual‐functional coatings for single‐functional coatings is also highlighted. We aim to provide more options and strategic guidance for the design and fabrication of functional coatings on metal surfaces and to explore the possibilities of these designs in practical applications. …”
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The mediating effect of green self-efficacy in the impact of green inclusive leadership on green organizational citizenship behavior by Laurine Nwosu

“…Furthermore, it expands the knowledge base by applying these constructs within an underexplored, tourism-dependent context, offering valuable localized contributions often absent in mainstream sustainability literature. The study provides hotel managers with empirically grounded strategies to promote voluntary green behaviors through inclusive leadership and psychological empowerment.…”
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QKDTI A quantum kernel based machine learning model for drug target interaction prediction by Gundala Pallavi, Ali Altalbe, R. Prasanna Kumar

“…However, existing approaches are hindered by computational inefficiencies, reliance on manual feature engineering, and struggles to generalize across diverse molecular structures, limiting their molecular capabilities. Recent advancements in Quantum Machine Learning (QML) are paving the way for its practical applications, unlocking unprecedented capabilities in predictive accuracy, scalability, and efficiency by leveraging the unique powers of quantum computing, namely superposition and entanglement. …”
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Work from home and employee well-being: a double-edged sword by Jun-jie Dong, Zhi-dan Tan, Yu-liang Zhang, Yu-jie Sun, Yuan-kai Huang

“…This shift not only provides employees with greater flexibility and convenience, potentially enhancing their well-being, but also brings challenges such as blurred boundaries between work and family, and increased social isolation, which can lead to a decline in well-being. …”
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Dynamic Electrochemical Impedance Spectroscopy: A Forward Application Approach for Lithium‐Ion Battery Status Assessment by Xinyi Zhang, Yunpei Lu, Jingfu Shi, Yuezheng Liu, Hao Cheng, Yingying Lu

“…This review provides a comprehensive overview of recent advances in DEIS for lithium‐ion battery state monitoring, starting with an in‐depth explanation of its working principles and a comparison with conventional EIS to highlight their respective advantages. …”
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A two-stage approach to enhancing biofuel supply chains through predictive and optimization analytics by Mehdi Soltani Tehrani, Siamak Noori, Ehsan Dehghani

“…For large-scale scenarios, the study leverages the non-dominated sorting genetic algorithm and multi-objective simulated annealing to generate near-optimal solutions. A practical case study validates the proposed framework and provides decision-makers with clear and actionable strategies to optimize site planning, reduce operational costs, and enhance environmental sustainability in biofuel supply chain management.…”
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