A hybrid approach to investigating major management factors for effective highway preventive maintenance by Na Zhao, Yijuan Liu, Huihua Chen

“…Social network analysis (SNA) was used to distinguish the degree of importance of these factors. …”
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Revisiting CPSF30-mediated alternative polyadenylation in Arabidopsis thaliana. by Guijie Hao, Lichun Zhou, Huazhen Liu, Pradeep Kachroo, Arthur G Hunt

“…To address these, we conducted a detailed analysis of poly(A) site usage in the CPSF30 mutant. …”
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Prediction of Crop Yield by Support Vector Machine Coupled with Deep Learning Algorithm Procedures in Lower Kulfo Watershed of Ethiopia by Abebe Temesgen Ayalew, Tarun Kumar Lohani

“…The primary purpose of this study was to conduct a machine learning approach which can be practiced dynamically for efficient farming at a low cost. …”
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Current trends and prospects for the development of research in hydroabrasive cutting technology in mining and general engineering by A.М. Makhno

“…The R analytical package «bibliometrics» and VOSviewer software were used to conduct the study, which allowed us to visualize network connections between key terms, authors, research topics, and technology development trends. …”
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Examining the Role of Social Media in New Social Movements A Case Study of the Black Lives Matter Movement by Ali Davari, Mostafa Ghaffari

“…Alberto Melucci’s theory of new social movements highlights the importance of collective identity, symbolic action, and network-based structures in mobilizing individuals around shared objectives. …”
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A unipolar-driven synaptic transistor for environment-adaptable vision system by Sukwon Jang, Keunho Soh, Chungryeol Lee, Taehyun Nam, Minjae Jang, Jeong-ik Park, Changhyeon Lee, Junhwan Choi, Jung Ho Yoon, Sung Gap Im

“…The UDST exhibits potentiation, depression, and adaptation while maintaining exceptional durability, with a dynamic range reduction of less than 0.9% over 2000 potentiation-depression cycles and minimal conductance variation of only 0.3%. …”
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Temporal variations of δ13C-CH4 in rice paddies dominated by the plant-mediated pathway by Ji Li, Huilin Chen, Aijun Ding, Xuguang Chi, Weimin Ju, Yongguang Zhang, Philippe Ciais, Wenping Yuan, Shushi Peng, Zeqing Ma, Guirui Yu, Jing M. Chen

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Real-Time AI-Based Power Demand Forecasting for Peak Shaving and Consumption Reduction Using Vehicle-to-Grid and Reused Energy Storage Systems: A Case Study at a Business Center on... by Kibaek Kim, Dongwoo Ko, Juwon Jung, Jeng-Ok Ryu, Kyung-Ja Hur, Young-Joo Kim

“…The core of the proposed system is a multi-cluster long short-term memory model (MC-LSTM), which combines k-means clustering with LSTM neural networks to enhance forecasting accuracy. The MC-LSTM model achieved an overall prediction accuracy of 97.93%, enabling dynamic, real-time demand-side energy management. …”
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Impact of dietary polyphenols from shredded, steam-exploded pine on growth performance, organ indices, meat quality, and cecal microbiota of broiler chickens by Chris Major Ncho, Vaishali Gupta, Akshat Goel, Chae-Mi Jeong, Ji-Young Jung, Si-Young Ha, Jeong-Uk Eom, Han-Sul Yang, Jae-Kyung Yang, Yang-Ho Choi

“…Hence, in this study, we conducted a comprehensive analysis of the effects of dietary supplementation with polyphenol-rich extract from shredded, steam-exploded pine particles (PSPP) on growth, meat quality, and gut microbial dynamics in broiler chickens. …”
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Evolving landscape of hepatitis C research in the Eastern Mediterranean Region: A comprehensive bibliometric analysis from 2004 to 2024 by Kamiar Izadpanah, Seyed Aria Nejadghaderi, Hamid Sharifi

“…Methods Between January 1, 2004, and December 31, 2024, a bibliometric search was conducted using the Scopus database to identify Hepatitis C-related publications from countries in the EMR. …”
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Characterization of Global Research Trends and Prospects on Prone Positioning in Respiratory Failure: Bibliometric Analysis by Rong Lei, Feng Yue, Chaofu Yue, Zihan Zhang, Xian Huang, Qiaolin Li, Zhigang Yang, Rong Li, Keyi Zhao, Mei Yang

“…Keyword co-occurrence analysis revealed the dynamic nature of prone positioning research in respiratory failure. …”
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Context-Aware Trust Prediction for Optimal Routing in Opportunistic IoT Systems by Abdulkadir Abdulahi Hasan, Xianwen Fang, Sohaib Latif, Adeel Iqbal

“…The Social Opportunistic Internet of Things (SO-IoT) is a rapidly emerging paradigm that enables mobile, ad-hoc device communication based on both physical and social interactions. In such networks, routing decisions heavily depend on the selection of intermediate nodes to ensure secure and efficient data dissemination. …”
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Dual-Indexed Ensemble Kalman Filtering-Based Anti-Islanding Detection Methods for AC Microgrids by Sohaib Tahir Chauhdary, Hisham Alharbi, Abdullah S. Bin Humayd, Talal Alharbi

“…Extensive simulations were conducted on various standards such as the IEEE and UL-1741 microgrid test networks under a range of operating conditions. …”
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Psychological adaptation profiles are associated with coping style, social support, and family intimacy in caregivers of children with hematologic malignancies: a cross-sectional s... by Meng-Jia Wang, Ming-Yu Chang, Chao-Fan Gu, Rui-Xing Zhang

“…Methods A cross-sectional study was conducted among caregivers of children with hematologic malignancies. …”
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Brain inspired iontronic fluidic memristive and memcapacitive device for self-powered electronics by Muhammad Umair Khan, Bilal Hassan, Anas Alazzam, Shimaa Eissa, Baker Mohammad

“…These fluidic devices, composed of soft-matter materials, dynamically adjust their conductance by altering the solution interface. …”
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Data-Driven Approach to Safety Control in Jacket-Launching Installation Operations by Sheng Chen, Mingxin Li, Yankun Liu, Xu Bai

“…Installing offshore wind jackets faces increasing risks from dynamic marine conditions and is challenged by trajectory deviations due to coupled hydrodynamic and environmental factors. …”
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Deep Learning-Based Prediction of Pitch Response for Floating Offshore Wind Turbines by Ruifeng Chen, Ke Zhang, Min Luo, Ye An, Lixiang Guo

“…Accurate dynamic response prediction is a challenging and crucial aspect for the fatigue or ultimate analysis of floating offshore wind turbines (FOWTs), which are increasingly recognized for their potential to harness wind energy in deep-water environments. …”
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Dealing with the extraordinary: how a community of practice supports resident training during the COVID-19 pandemic and beyond by Jolene Ee Ling Oon, Lorraine Lewis, Halah Ibrahim, Sophia Archuleta

“…Three themes emerged, highlighting the social and dynamic nature of experiential learning in a CoP: (1) capability building, where residents adapted by integrating and applying knowledge, skills, and attitudes as modeled by faculty and peers; (2) fostering resilience in the face of uncertainty through altruism, volunteerism, strong support networks, and collective moral resilience; and (3) collaborative working and communicating across interdisciplinary and interprofessional teams, facilitated by a flattening of traditional hierarchies. …”
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Magnetically adjustable AND/XOR logic gates using Terfenol-D in phononic crystal by Ehsan Mehdizadeh Omrani, Fakhroddin Nazari

“…The tunability and operational efficiency of these gates are greatly play a crucial role for enhancing the resonance frequency numbers of the ring resonators and the dynamic modulation of the Terfenol-D properties. Tunability experiments were conducted at several Young’s modulus values of Terfenol-Ds, corresponding to three varying magnetic field intensities, resulting in resonance frequencies of 1.5030 MHz, 1.5032 MHz, and 1.5033 MHz for the AND gate and 1.5040 MHz, 1.5044 MHz, 1.5047 MHz for the XOR gate. …”
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A bibliometric review of research on entrepreneurial capacity for the period 1979 to 2022: Current status, development, and future research directions by Meghna Chhabra, Rohail Hassan, Mohd Asif Shah, Richa Sharma

“…With the aid of bibliometric analysis, we analysed Google Scholar, Scopus, and the ISI Web of Science databases and arrived at 193 studies that we use as samples; these studies enable us to recognise the research activity conducted on EC from 1979 to 2022. The most influential articles and authors have been identified based on their publications, citations, location, and importance within the network. …”
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