Quantifying the impact of urban blue-green spaces on humid-heat exposure risk: A case study of Nanjing’s central urban area by Yueyue Ma, Chenfeng Xu, Zhijie Yang

“…The spatial distribution patterns between PWHHEI and urban blue-green spaces (UBGS) were analyzed using the bivariate Local Moran’s I statistic, and a Geographically Weighted Random Forest model was applied to assess the regulatory effects of UBGS morphological characteristics on humid-heat exposure and their spatial heterogeneity. …”
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Generative AI in Marketing: Foundations, Trends, and Future Research Propositions by Akshara Prasanna, Bijay Prasad Kushwaha

“…Moreover, it expounds the research foundations and emerging patterns associated with GenAI in marketing and formulates prospective research propositions. …”
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Long-term global trends and influencing factors of surface urban cool and heat islands by Ruihan Qiu, Qingming Zhan, Shiqi Tu

“…Key findings include: (1) SUCIs are more common in winter but most significant in summer, with daytime SUCIs transitioning to nighttime SUHIs; (2) SUHI cities show a ΔT increase of 0.153°C per decade (P < 0.01), while SUCI cities show a decrease of −0.102°C per decade (P < 0.01); (3) HURS is the dominant climatic driver, with PR and RSDS more influential in summer, and TAS being crucial in winter. …”
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Shaping health systems through strategy and economics: a global bibliometric exploration of policy pathways by Livia Cristina ILIESCU

“…Using VOSviewer, we look at who writes papers together, which keywords appear side-by-side, and patterns of citations to spot the main ideas, influential writers, and leading places in this area. …”
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ChatGPT’s Integration in GCC Higher Education: Bibliometric Analysis of Trends by Tosin Ekundayo , Zafarullah Khan , Shahid Ali Chaudhry

“…The findings suggest that ChatGPT is becoming increasingly relevant and influential in higher education, particularly in the GCC region, where its adoption aligns with ongoing educational reforms and technological advancements. …”
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Discovering Insightful Rules among Truck Crash Characteristics using Apriori Algorithm by Jungyeol Hong, Reuben Tamakloe, Dongjoo Park

“…This study aims to discover hidden patterns and potential relationships in risk factors in freight truck crash data. …”
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Complementarity in renewable energy sources: Insights from scientometric analysis by Prangon Chowdhury, Nahid-Ur-Rahman Chowdhury, Omar Farrok

“…This paper addresses this gap by conducting a scientometric analysis of existing research, identifying influential studies, methodologies, and collaboration patterns. …”
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On the state of nature and social life: thinking about humans and chimpanzees by Eliane Sebeika Rapchan

“…The practice of studying similarities and differences lead us to the same dead end: nature (on the genetic, biological and ecological level) is highly influential in determining that chimpanzees and humans live as social or sociocultural beings. …”
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MODELING OF BUSINESS PROCESSES FOR MANAGING INTEGRATIVE DIGITAL DEVELOPMENT OF ENTERPRISES by Оlena V. Vynogradova, Svitlana V. Lehominova, Aliona Yu. Goloborodko, Tetiana I. Nosova

“…This approach enabled the identification of the most influential streams by year and revealed patterns of leadership changes based on the impact of external environmental factors and internal organizational conditions. …”
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Evaluation and Optimization Strategies for Provincial Culture and Tourism Integration from the Perspective of Landscape Narrative: A Case Study of Anhui Province, China by Yunxi Hong, Li Tu, Minghe Wan

“…Using spatial analytical methods such as Moran’s I and the Spatial Autoregressive (SAR) model, the study identifies clear spatial clustering patterns and influential factors. The SAR model results show that transportation accessibility (coefficient = 0.685, <i>p</i> < 0.01) and policy support (coefficient = 0.736, <i>p</i> < 0.01) significantly promote integration. …”
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Predicting changes of incisor and facial profile following orthodontic treatment: a machine learning approach by Jing Peng, Yan Zhang, Mengyu Zheng, Yanyan Wu, Guizhen Deng, Jun Lyu, Jianming Chen

“…Results MSE/MAE/R2 values for U1-SN were 0.0042/0.055/0.84, U1-SN, MP-SN and ANB were identified as the top three influential predictors. MSE/MAE/R2 values for L1-MP were 0.0062/0.063/0.84, L1-MP, ANB and extraction pattern were identified as the top three influential predictors. …”
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Risk factors and short-term projections for serotype-1 poliomyelitis incidence in Pakistan: A spatiotemporal analysis. by Natalie A Molodecky, Isobel M Blake, Kathleen M O'Reilly, Mufti Zubair Wadood, Rana M Safdar, Amy Wesolowski, Caroline O Buckee, Ananda S Bandyopadhyay, Hiromasa Okayasu, Nicholas C Grassly

“…<h4>Conclusions</h4>Spatiotemporal variation in immunization performance and population movement patterns are important determinants of historical poliomyelitis incidence in Pakistan; however, movement dynamics were less influential in predicting future cases, at a time when the polio map is shrinking. …”
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Spatiotemporal dynamics of Ixodes ricinus abundance in northern Spain by Alfonso Peralbo-Moreno, Alberto Espí, Jesús F. Barandika, Ana L. García-Pérez, Pelayo Acevedo, Francisco Ruiz-Fons

“…Currently, the environmental determinants of the spatiotemporal patterns of I. ricinus abundance remain unknown in this region and these may differ from drivers in highly favourable areas for the species in Europe. …”
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Spatiotemporal variation and driving forces of soil salinization in the lower reach of arid endorheic basins: Critical role of lake system and groundwater overflow by Yong Xiao, Wenxu Hu, Yuqing Zhang, Zhen Zhao, Guangxiong Qin, Huijuan Chen, Liwei Wang, Shaokang Yang, Jie Wang, Qiuming Pei, Yu Liu

“…Terrain elevation is the primary and most influential natural factors governing the spatial pattern of soil salinization in the arid endorheic lower reach, followed by climate and groundwater factors. …”
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Thermal comfort and energy related occupancy behavior in Dutch residential dwellings by Anastasios Ioannou

“…Huge amounts of data can be gathered and handled by evermore faster computers; the analysis of these data a couple of decades ago would take years.  Sequential pattern mining reveals frequently occurring patterns from time-ordered input streams of data. …”
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Primary healthcare in island regions: A comprehensive analysis of trends, insights and future directions by Nur Rahmah, Amran Razak, Agus Bintara Birawida, Irwandy Irwandy

“…Keyword analysis, co-authorship networks and citation analysis were employed to explore research trends, collaboration patterns and influential authors and institutions. …”
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Using hypothetical scenarios to explore potential trade-offs and rebound effects from livelihoods projects in the Pacific Islands: a case study from Langalanga, Solomon Islands by Matthew B Roscher, Benjamin Waleilia, Miriam R Waleilia, Margaret Batalofo, Meshach Sukulu, Hampus Eriksson

“…Although only a few of the socioeconomic and livelihood indicators were related to different responses, the most influential ones pertained to the participant’s gender or age. …”
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One size does not fit all consumers: How social context shape the behavioral drivers behind organic food purchases by López-Sintas Jordi, Giuseppe Lamberti, Negin Abedini

“…Notably, we found that age and family lifecycle stage were more influential in explaining these differences than social position. …”
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Reassessment Individual Growth Analysis of the Gulf Corvina, <i>Cynoscion othonopterus</i> (Teleostei: Sciaenidae), Using Observed Residual Error by Eugenio Alberto Aragón-Noriega, José Adán Félix-Ortiz, Jaime Edzael Mendivil-Mendoza, Gilberto Genaro Ortega-Lizárraga, Marcelo Vidal Curiel-Bernal

“…Growth is the most influential aspect in demographic species analysis. …”
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Machine learning-based prediction of optimal antenatal care utilization among reproductive women in Nigeria by Jamilu Sani, Adeyemi Oluwagbemiga, Mohamed Mustaf Ahmed

“…Machine learning (ML) offers a promising alternative that uncovers hidden patterns and improves prediction accuracy. Methods: This study used data from the 2018 Nigeria Demographic and Health Survey (NDHS), a nationally representative data set. …”
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