Selecting an Installation Site for MW-Scale Water Electrolysis Systems Based on Grid Voltage Stability by Yong-Jung Kim, Moonho Kang, Hyun-Tae Kim, Haelee Kim, Sungyun Choi, Baeck-Bum Choi

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A Qualitative Study of the Causes of Irreligiousness Boy Adolescents in Religious Families by Zahra Yousefi, Fatemeh Dafeian, Mohammad Mehdi Malikipour, Azam Shahbazi

“…In order to collect data, a semi-structured focal type interview was used. The analysis of the contextual theory by the method of Charmaz (2014) revealed three components: a) The nature of atheism contained three core codes, which were: 1) the desire to make decisions based on individual diagnosis, 2) choosing religion as one from the types of life values, 3) acting based on individual diagnoses; b) the class of reasons for atheism with axial codes; 1) individual-oriented causes (with open codes of awakening instincts, curiosity and avoiding advice, inability to manage instincts) and 2) other-oriented causes (with open codes of friends and family, the role of society and the media, and social interactions) and c) the category of how to avoid religion With the main codes: 1) matching with the congregation (with open codes of matching with friend and matching with family), 2) finding contrary evidence for religiosity (inference in favor of atheism from social events, overgeneralization in favor of atheism) and 3) Finding supporting evidence for atheism (finding fault with religious people and positive perceptions of religion). …”
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Blind Cartography for Side Channel Attacks: Cross-Correlation Cartography by Laurent Sauvage, Sylvain Guilley, Florent Flament, Jean-Luc Danger, Yves Mathieu

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Damage Detection in Plates with the Use of Laser-Measured Mode Shapes by Ziemowit Dworakowski, Kajetan Dziedziech, Pawel Zdziebko, Krzysztof Mendrok

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Mechanical Response of FeNiCrCoAl High-Entropy Alloys at the Nanoscale: Predictions from Molecular Dynamics by Ernesto Amaro, Joaly Delgado-Alvarez, Jairo Andrés Martínez-Uribe, Sergio Mejía-Rosales

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Modeling of potential field data for detecting structural and tectonic framework of Esh El Mellaha area, Red Sea, Egypt by Abdelbaset M. Abudeif, Zakaria Hamimi, Gaber M. Gaber, Adel Kotb, Nasir Alarifi, Stefano Bellucci, Marwa M. Masoud

“…Euler Deconvolution effectively delineates structural discontinuities and fault systems, while the Source Parameter Imaging (SPI) method improves depth accuracy through wavenumber analysis. …”
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Disposal of SARS-CoV-2 corpses: experiences of environmental health officers by Edward Wilson Ansah, Jacob Owusu Sarfo, Daniel Apaak, Samuel Maneen, Nkosi Nkosi Botha

“…Therefore, this study aims to explore the experiences of EHOs in disposing off of confirmed or suspected SARS-CoV-2 fatalities in Ghana. Methods Using an 18-item interview guide, we gathered data from 27 EHOs from three regions of Ghana. …”
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Perspectives on AI-Driven Nursing Science Among Nursing Professionals from China: A Qualitative Study by Yi Chen, Fulei Wu, Wen Zhang, Weijie Xing, Zheng Zhu, Qingmei Huang, Changrong Yuan

“…Participants were selected using maximum variation sampling, and data were analyzed using content analysis. <b>Results</b>: Three major themes and eleven sub-themes were identified: (1) The potential of multi-perspective development of AI-driven nursing science and practice, including aiding in decision-making, assisting with writing nursing documents, helping in care practices with high exposure risks and heavy physical exertion, and supporting the development of nursing activities. (2) A multi-dimensional response to the wave of intelligent nursing research and practice: education and scientific research come first, then we fully explore the application scenarios, and then conduct deep interdisciplinary integration. (3) Obstacles for intelligent nursing research and practice: interaction factors of “human–technology–machine” for application, transformation, and promotion; financial support and continuous investment; the controversy behind the intelligent maturity level; and application risk and fault tolerance. …”
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Emergency Optimization Decision-Making with Incomplete Probabilistic Information under the Background of COVID-19 by Ming Fu, Lifang Wang, Jiaming Zhu, Bingyun Zheng

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Optimization of the Ground Motion Intensity Measure for Long-Span Suspension Bridges Considering the Impulse Effect by Junda Su, Qinghui Lai, Jinjun Hu, Longjun Xu, Lili Xie, Yulin Zou

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Digital Twin-Driven Virtual–Real Hybrid Framework Based on Parameter Identification for Bearing Thermal Prediction by Yu Wang, Qingbin Tong, Luqiang Yang, Junci Cao, Jiang Cao

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Robust mesh generation for electromagnetic models with geometric defects through node alignment and mesh boolean operations by Z. H. Gao, Fei Yu, Jie Cao, Xin Yang, J. H. Xie, Z. Q. Guan

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Stability assessment of inverter‐based renewable energy sources integrated to weak grids by M. I. Saleem, S. Saha, U. Izhar, L. Ang

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Facies changes, sedimentary environments and sequence stratigraphy of the lower Carboniferous deposits in the Kalmard area, Central Iran, Member D of Gachal formation by Mohammadnabi Gorgij, Somayyeh Shahraki Mirzaei

“…With respect to complete Unit D in the southern part of Kalmard area and a necessary of the study of sequence stratigraphy of Tournaisian–Visean strata in this part of Central Iran, this stratigraphic section has been selected. Materials & MethodsFor identification of microfacies characters and analysis, environmental conditions, and sequence stratigraphy of unit D of Gachal formation, the Godar-e-Gachal section has been selected that has 50.4 m thickness. …”
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Sensing-based monitoring systems for electric vehicle battery – A review by Ferdous Irtiaz Khan, Md Moinul Hossain, Gang Lu

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Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

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Research on Oil and Gas-Bearing Zone Prediction and Identification Based on the SVD–K-Means Algorithm—A Case Study of the WZ6-1 Oil-Bearing Structure in the Beibu Gulf Basin, South... by Zhilong Chen, Renyi Wang, Biao Xu, Jianghang Zhu

“…This has been confirmed by the high-yield industrial oil flow obtained from the newly drilled WZ6-1-A3 well. The SVD–K-means algorithm for predicting oil and gas-bearing zones provides a new approach for predicting hydrocarbon-rich areas in complex fault block structures with limited drilling and poor-quality seismic data.…”
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Addressing data imbalance in collision risk prediction with active generative oversampling by Li Li, Xiaoliang Zhang

“…Specifically, our method’s results are above 0.92 on all evaluation indicators, with an average improvement of 23–28.3% compared to the worst-performing ENN method. …”
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Feasibility study of progressive Latin hypercube sampling and quasi-Monte Carlo simulation for probabilistic risk assessment by Seung-Seop Jin, Gungyu Kim, Shinyoung Kwag, Seunghyun Eem

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Research on Degradation State Recognition of Planetary Gear Based on Multiscale Information Dimension of SSD and CNN by Xihui Chen, Liping Peng, Gang Cheng, Chengming Luo

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