Simulation Study of Load Sharing of the Herringbone Power Split Gear Train by Zhang Lina, Ning Fenglian, Ding Jintao

“…Furthermore, utilizing the orthogonal experimental method, the interaction patterns and significance levels of these factors on load sharing characteristics are uncovered. …”
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Unveiling Global Trends in Gender Equality Research within Physics Education by Sevim Bezen, İpek Derman

“…The study gathered information on the general trends, authors, citations, co-authorship, co-occurrence of keywords, and co-citation patterns in publications related to GEPE. The results revealed that the most productive country in this field is the USA, the most active institution is the University of Pittsburgh, and the most influential source is “Women in Physics.” …”
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Breaking the silence: factors influencing complementary therapy disclosure among diabetic outpatients in Taiwan by Hsiao-Yun Chang

“…The survey questionnaire included demographics, the patterns of CTs use, the experiences of CTs use, the Understanding the Benefit-Risks of CTs Use Scale, and the Diabetes Empowerment Scale. …”
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Predicting Accident Severity on Taiwan Highways Using Machine Learning and Electronic Toll Collection (ETC) Data by Pei-Chun Lin, Kuan-Yen Chen, Jenhung Wang

“…Unlike traditional accident-reporting systems, the ETC infrastructure provides a uniquely comprehensive and precise dataset that captures spatiotemporal traffic patterns and environmental conditions across the national highway network. …”
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Comparative Analysis of Explainable AI Methods for Manufacturing Defect Prediction: A Mathematical Perspective by Gabriel Marín Díaz

“…The model demonstrates high predictive performance and is analyzed using five XAI techniques (SHAP, LIME, ELI5, PDP, and ICE) to identify the most influential variables linked to defective outcomes. …”
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Research Trends in Communication and Tourism: A Systematic Review and a Bibliometric Analysis by Angie Lorena Salgado Moreno, Jorge Alexander Mora Forero, Raquel García Revilla, Olga Martinez Moure

“…The aim of this article is to analyze research trends in communication and tourism through a systematic review and bibliometric analysis of the academic literature in order to identify patterns, areas of interest and possible gaps in knowledge, thus contributing to the understanding and development of these interdisciplinary fields. …”
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Energy efficiency in ROS communication: a comparison across programming languages and workloads by Michel Albonico, Manuela Bechara Cannizza, Andreas Wortmann

“…Furthermore, we find that message frequency is a highly influential factor, while the number of clients has a more variable and less significant effect on resource usage, despite revealing unexpected architectural behaviors of underlying programming and communication layers.…”
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Cryptic coral community composition across environmental gradients. by Gia N Cabacungan, Tharani N Waduwara Kankanamalage, Amilah F Azam, Madeleine R Collins, Abigail R Arratia, Alexandra N Gutting, Mikhail V Matz, Kristina L Black

“…Our findings show that depth is a more significant predictor of community composition than ecoregions and is the most influential factor among the 40 abiotic variables that characterize ecoregions. …”
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Herbal and filariasis in Indonesia: A citation network analysis by Elda Monica Arista, Stefani Widodo, Putri Damayanti Irma, Pratiwi Wardani Dita, Abidah Safithri, Muhammad Almanfaluthi

“…The study uses RStudio and the Bibliometrix package to assess publication trends, key contributing institutions, influential authors, and keyword patterns. One hundred eighteen documents have been published in 90 sources, with an annual growth rate of 5.95%, indicating a growing interest in herbal filariasis research. …”
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Online News Sites and Journalism 2.0: Reader Comments on Al Jazeera Arabic by Muhammad M. Abdul-Mageed

“…The stories focused mostly on themes related to military and political violence, politics, and foreign relations, and covered events related to the Arab world more than other regions. Also, patterns of commenting varied according to day of the week and position of the story on the web page. …”
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Additional insights of multinational corporation’s location network in Vietnam by Thuy Thi Vu

“…In particular, neither Hanoi nor Ho Chi Minh City is the most influential node in the network. Provinces are not only connected but also structurally equivalent to many other provinces, regardless of spatial distance. …”
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Trends and key contributors in peripheral nerve regeneration research: A bibliometric study by Siddig Ibrahim Abdelwahab, Abdullah Farasani, Zenat A. Khired, Ahmad Assiri, Abdelkhalig Hussein Elhilu, Waseem Hassan

“…Additionally, the ten most influential papers were reviewed in detail to understand their contributions to the field. …”
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Digital Academic Leadership in Higher Education Institutions: A Bibliometric Review Based on CiteSpace by Olaniyi Joshua Olabiyi, Carl Jansen van Vuuren, Marieta Du Plessis, Yujie Xue, Chang Zhu

“…This was the result of a multi-step refinement process using CiteSpace’s default thresholds and clustering algorithms to detect the most influential nodes based on centrality, citation burst, and network clustering. …”
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A general framework for characterizing optimal communication in brain networks by Kayson Fakhar, Fatemeh Hadaeghi, Caio Seguin, Shrey Dixit, Arnaud Messé, Gorka Zamora-López, Bratislav Misic, Claus C Hilgetag

“…These descriptions reveal how communication patterns unfold if regions are set to maximize their influence over one another. …”
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Diffusion mechanisms of power-law grouts in water-rich sand layers during permeation grouting by Bao XIE, Hua CHENG, Xuesong WANG, Mingjing LI, Xiangyang LIU, Xueyu HAN

“…ObjectiveThis study aims to clarify the spherical diffusion patterns of power-law grouts in water-rich sand layers during permeation grouting and their influential factors. …”
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Co-occurrence and abundance of pollinators and pests in horticultural systems in Africa using an integrated Earth observation-based approach by Grace Rebecca Aduvukha, Elfatih M. Abdel-Rahman, Bester Tawona Mudereri, Arthur W. Sichangi, Godfrey Ouma Makokha, H. Michael G. Lattorff, Samira A. Mohamed, Tobias Landmann, Henri E. Z. Tonnang, Thomas Dubois

“…This study revealed that cropping patterns was the most consistent influential predictor variables for the distribution of avocado pollinators, flower visitors and pests. …”
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Evaluation of Airflow Distribution, Temperature, and Mean Age of Air Control in an Elevator Cabin by Juan D. Aguirre, Enrique J. Sánchez, Carlos Amaris, Julián E. Jaramillo-Ibarra, Octavio A. González-Estrada

“…The recent events impacting public health highlight the need for investigating airflow patterns in confined spaces like elevator cabins. It is essential to ensure proper ventilation, prevent the accumulation of contaminants, and ultimately promote a healthy indoor environment for occupants. …”
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Vaginal bacteria and cervical cancer: a bibliometric analysis of trends and themes by Xiaoxia Liu, Yinghui Zhao, Xianhua Meng, Zheng Gao, Xiaohong Wang, Fengyong Yang

“…Herbst-Kralovetz MM and Laniewski P were identified as the most influential authors, while BMC Infectious Diseases and Frontiers in Cellular and Infection Microbiology were the primary publication venues. …”
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Decoding urban emissions: the overlooked impact of commercial and public service zones across regions and seasons by Zhiyu Yi, Yuebin Wang, Xiaojing Yao, Liqiang Zhang, Xinyu Zou, Mingyue Qiao, Wei Wei, Xiyan Meng

“…The results show that (1) Carbon emission levels exhibit substantial regional heterogeneity, with high-emission areas closely tied to economic activity and urban development rather than industrial activities. (2) Emissions stemming from commercial and public service zones surpass those from industrial zones in impact, and natural determinants such as the terrain and climatic conditions are likewise influential. (3) There is a clear seasonality in emissions on UFZs, potentially linked to changes in energy demand and consumption patterns. …”
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The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure by Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani

“…Research in spatial epidemiology relies on both conventional approaches and Machine- Learning (ML) algorithms to explore geographic patterns of diseases and identify influential factors (Pfeiffer & Stevens, 2015). …”
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