Machine Learning-Based Analysis of Travel Mode Preferences: Neural and Boosting Model Comparison Using Stated Preference Data from Thailand’s Emerging High-Speed Rail Network by Chinnakrit Banyong, Natthaporn Hantanong, Supanida Nanthawong, Chamroeun Se, Panuwat Wisutwattanasak, Thanapong Champahom, Vatanavongs Ratanavaraha, Sajjakaj Jomnonkwao

“…CatBoost emerges as the top-performing model (area under the curve = 0.9113; accuracy = 0.7557), highlighting travel cost, service frequency, and waiting time as the most influential determinants. These findings underscore the effectiveness of machine learning approaches in capturing complex behavioral patterns, providing empirical evidence to guide high-speed rail policy development in low- and middle-income countries. …”
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Vaccine Acceptance Among Pregnant Women in Israel During COVID-19: Influences and Decision-Making Factors by Noa Feldman, Michal Bitan, Maya Alayev, Orna Tal

“…Additionally, the study compares acceptance patterns between traditional vaccines and the newer COVID-19 vaccine. …”
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Bibliometric analysis of research trends and networks in carbon tax studies: Insights into environmental and economic policy implications by Andi Kusumawati, Suhanda Suhanda, Darmawati, Andi Iqra Pradipta Natsir, Indira Syakira Kirana Juanda

“…Social network analysis reveals influential researchers and institutions driving the discourse on carbon taxes, highlighting the importance of interdisciplinary collaboration in shaping effective policies. …”
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Revealing the impact of teaching methods on anxiety among college students through a bibliometric study by Zhongzhu Ai, Dongfeng Yuan, Ruotong Dong, Yun Li, Shanshan Zhou

“…Data-driven analysis was conducted to explore collaboration patterns, knowledge structures, research hotspots, and trends using VOSviewer software.ResultsAfter screening, this study included 192 publications from January 2004 to November 2024, revealing several significant findings: (1) The number of publications has gradually increased, peaking in 2022 and maintaining a high level in the following years. (2) The most productive and influential journals are Nurse Education Today and CBE Life Sciences Education, with the USA and the Indiana University System contributing the most. (3) Collaboration network analysis indicates the presence of multiple research groups in the field, but their connections among countries and authors remain relatively limited. (4) Co-citation analysis of journals shows that the field is interdisciplinary, primarily merging psychology, education, and information technology. (5) Keyword analysis identifies two major research hotspots: factors influencing student anxiety in teaching environments (e.g., self-efficacy, loneliness, and performance) and the moderating effects of teaching method reforms (e.g., blended learning, collaborative learning, and experiential learning) on college student anxiety.ConclusionThis visualization analysis provides an overview of the directions and advancements in research on the impact of teaching method reforms on college students' anxiety. …”
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Global burden of chronic kidney disease and its attributable risk factors (1990-2021): an analysis based on the global burden of disease study by Min-Jia Li, Hong-Yong Liu, Yun-Qiang Zhang, Sheng-Rong Li, Jian-Hong Zhang, Rong Li

“…High systolic blood pressure and high body mass index were particularly influential in Central Europe and high-income North America, respectively. …”
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Knowledge mapping and emerging trends in pediatric hemiplegia research: a bibliometric study spanning 1982–2025 by Xiaoli Li, Ya Guo, Lingchuan Niu

“…Boyd RN and Gordon AM were identified as the most influential authors based on h-index metrics and collaboration strength. …”
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Exploring the potential of industry 4.0 in manufacturing and supply chain systems: Insights and emerging trends from bibliometric analysis by Assiya Zahid, Patrice Leclaire, Lamia Hammadi, Roberta Costa-Affonso, Abdessamad El Ballouti

“…The analysis follows the PRISMA methodology for systematic reviews and utilizes Biblioshiny and VOSviewer to examine co-authorship networks, keyword co-occurrences, and citation patterns, providing a detailed assessment of research performance. …”
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Carbon use efficiency of alpine grasslands affected by grazing exclusion and local environmental context in Tibet, China by Yunfei Feng, Jianshuang Wu, Meng Li, Ben Chen, Minyahel Tilahun, Xianzhou Zhang

“…Precipitation was identified as the most influential factor controlling the spatial pattern of CUE and showed a significant negative correlation with CUE. …”
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Fine-grained analysis and mapping of urban flood susceptibility with interpretable machine learning: A case study of Hefei, China by Ziyao Xing, Guijia Lyu, Yu Yao, Zhe Liu, Xiaodong Zhang

“…An improved spatial weight matrix is proposed to perform spatial autocorrelation for revealing spatial distribution of flood susceptibility, and the local factors are explained by LIME to provide a fine-grained analysis of different regions.New hydrological insights for the region: (1)NDVI is the most influential factor emphasizing the importance of green spaces in urban flood regulation. (2)Micro-topography significantly affects urban flood susceptibility, and normalizing DSM based on micro-watersheds provides an accurate representation. (3)High flood susceptibility in Hefei, as revealed by spatial autocorrelation analysis, follows patterns similar to built-up areas and is influenced by major roads. …”
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Decoding fertility behaviour of married women in Zambia: A multipronged analysis of bio-demographic, socio-economic and intermediate factors. by Bwalya Bupe Bwalya, Clifford Odimegwu

“…Married Zambian women's fertility behaviours, as measured by CEB are concerning, and exhibit patterns influenced by intermediate factors like age at first marriage and abortion. …”
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Human-based metaheuristics and non-parametric learning for groundwater-prone area mapping by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Seyedeh Zeinab Shogrkhodaei, Biswajeet Pradhan, Soo-Mi Choi

“…Existing GPM techniques often depend on parametric models, which may fail to capture the intricate patterns of groundwater distribution or adapt to varying data complexities. …”
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Proposing a flood management solution based on optimal usage allocation via genetic algorithm by Davood Mokhtari, Aliakbar Rasouli, Monire Moosabeigi

“…Introduction: One of the most influential factors in the occurence of a flood in the spillway basins is proposed to be the unsuitable or exorbitanceuse use of lands. …”
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The interrelationship between childhood emotional abuse and aggressive behavior in the Chinese adolescent population: a network perspective by Yuhao Wang, Yuxuan Liu, Susu Tian, Xinyi Hu, Jiayi Tian, Yingxue Wang, Yihan Wang, Chunxia Miao, Wei Wang

“…Poor family relationships, particularly insulting or demeaning remarks from family members, were identified as key bridge symptoms that exacerbate aggressive tendencies. Gender-specific patterns suggest that interventions should be tailored to address physical aggression in males and internalizing symptoms in females.…”
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Mapping research trends in ethnomathematics within mathematics education: A bibliometric study by Muh. Ikhwan Fauzan, Raden Rosnawati, Azkiya Salsabila, Moh. Slamet Sutrimo, Sa'adatul Ulwiyah, Muhammad Iqbal

“…This study aims to identify publication trends, authors, publishers, and influential journals, including patterns of relationships between keywords, collaboration between authors, and geographical distribution of publications. …”
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Travel Behaviour and Community Needs for Resilience Hubs by Thayanne G.M. Ciriaco, Stephen D. Wong

“…Modelling results found a strong influence of household characteristics on the normal usage of resilience hubs, while individual characteristics were more influential on hub usage as a temporary shelter. No clear patterns of variables influenced mode choice (travel to/from hubs), except the insignificance of resilience hub usage (i.e., trip purpose) for normal conditions. …”
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Study on the Dynamic Changes in Land Cover and Their Impact on Carbon Stocks in Karst Mountain Areas: A Case Study of Guiyang City by Rui Li, Zhongfa Zhou, Jie Kong, Cui Wang, Yanbi Wang, Rukai Xie, Caixia Ding, Xinyue Zhang

“…Investigating land cover patterns, changes in carbon stocks, and forecasting future conditions are essential for formulating regional sustainable development strategies and enhancing ecological and environmental quality. …”
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The study of difference in alpha and theta band in divergent and convergent thinking in the posterior of the right hemisphere by Sepideh Shahmoradi, Mohammad Reza Zoghi Paydar, Mehran Farhadi, Shahryar Yar Mohammadivasel

“…Background: One of the most influential factors in creativity is brain waves. Among brain waves, alpha and theta waves are considered the most effective in fostering creativity in individuals. …”
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Root pH variation of herbaceous plants among plant functional groups in response to climate and soil gradients on the Tibetan alpine grasslands by Lirong Zhao, Bo Pang, Jiangtao Hong, Xingxing Ma, Ziyin Du, Xiaodan Wang

“…This study provided a comprehensive analysis of root pH patterns in herbaceous plants over a large spatial scale. …”
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Towards a methodology for validation of centrality measures in complex networks. by Komal Batool, Muaz A Niazi

“…While different quantitative measures labeled as "centralities" have previously been used in the network analysis community to find out influential nodes in a network, it is debatable how valid the centrality measures actually are. …”
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Modelo computacional para suporte à decisão em áreas irrigadas. Parte I: Desenvolvimento e análise de sensibilidade Computer model for decision support on irrigated areas Part I: D... by João C. F. Borges Júnior, Paulo A. Ferreira, Bettina Hedden-Dunkhorst, Camilo de L. T. de Andrade

“…This information may be applied in studies of crop patterns at farm level, taking into consideration financial return and water use, associated to risk analysis based on simulations. …”
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