Using Fuzzy C-Means clustering and PCA in public health: A machine learning approach to combat CVD and obesity by Gamal Saad Mohamed Khamis, Nasser S. Alqahtani, Sultan Munadi Alanazi, Mohammed Muharrab Alruwaili, Mariam Shabram Alenazi, Maneaf A. Alrawaili

“…The analysis identified four distinct clusters, each showing unique risk patterns. For instance, Cluster One (mean age, 29) showed elevated body mass index (BMI) (mean, 33.7 kg/m2), high waist circumference (113 cm), and signs of insulin resistance (FBS, 133 mg/dL; HOMA-IR, 7.12). …”
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Exclusive breastfeeding until six months of age and its influence on anthropometric indices: A prospective observational study by Asha Jyothi Penugonda, Magdalenal Robert, George Ipe Vettiyil, Balamurugan Durai, Rajeev Zachariah Kompithra, Lakshmanan Jeyaseelan, Leni Grace Mathew

“…However, real-time differences in growth patterns between EBF and non-EBF infants and its influencing factors have not been well documented and analyzed in India. …”
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The published role of artificial intelligence in drug discovery and development: a bibliometric and social network analysis from 1990 to 2023 by Murat Koçak, Zafer Akçalı

“…By leveraging various bibliometric indicators and visualization techniques, we seek to explore the growth patterns, influential authors and institutions, collaboration networks, and emerging research trends within this domain. …”
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Key Drivers Affecting the Future of Power Relations in Tehran Metropolis with a Scenario-Writing Approach by Afshin Mottaghi, Arash Ghorbani Sepehr, Joseph Saloukadz

“…AbstractAs the center of developments on local, regional, national, and global scales, and the site of influential actors, Tehran's metropolitan area has long been a stage for political power dynamics. …”
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Machine Learning Model Coupled with Graphical User Interface for Predicting Mechanical Properties of Flax Fiber by T. Nageshkumar, Prateek Shrivastava, L. Ammayapan, Manisha Jagadale, L. K. Nayak, D. B. Shakyawar, Indran Suyambulingam, P. Senthamaraikannan, R. Kumar

“…In this study, a total of 432 patterns of input and output parameters obtained from laboratory experiments were used to develop machine learning algorithms (Random forest, support vector, and XGBoost). …”
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Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing by Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel

“…The explainability results reveal distinct feature importance patterns for each crop and region. We further found that the most influential growth stages on the prediction are dependent on the temporal sampling of the input data. …”
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MUSLIM POLE OF THE WORLD ECONOMY AND THE GENIE OF GLOBALIZATION by L. L. Fituni, I. O. Abramova

“…It uses a theory developed by the authors explaining the patterns of formation and succession of models of global economic development. …”
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Investigating the contributory factors influencing speeding behavior among long-haul truck drivers traveling across India: Insights from binary logit and machine learning technique... by Balamurugan Shandhana Rashmi, Sankaran Marisamynathan

“…This study aims to develop a prediction model for speeding behavior and to identify the contributory factors and their influential patterns underlying speeding behavior among LHTDs in India. …”
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Predicting customer subscription in bank telemarketing campaigns using ensemble learning models by Michael Peter, Hawa Mofi, Said Likoko, Julius Sabas, Ramadhani Mbura, Neema Mduma

“…Additionally, feature importance analysis reveals that contact duration, economic indicators like the Euro interbank offered (Euribor) rate, and customer age are the most influential factors in predicting subscription likelihood. …”
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Unraveling the global landscape of Elizabethkingia antibiotic resistance: A systematic review and meta-analysis. by Saade Abdalkareem Jasim, Jaafaru Sani Mohammed, Rangaswamy Roopashree, Mohammad Y Alshahrani, Aanchal Sharma, Abhishek Sharma, Shodiyev Asliddin, Masoumeh Beig

“…Additional analyses, including meta-regression, subgroup evaluations, and assessments of outliers and influential studies, were performed to explore resistance trends and evaluate publication bias. …”
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Generative AI as a Cognitive Co-Pilot in English Language Learning in Higher Education by Muhammad Zaim, Safnil Arsyad, Budi Waluyo, Havid Ardi, Muhd. Al Hafizh, Muflihatuz Zakiyah, Widya Syafitri, Ahmad Nusi, Mei Hardiah

“…This study aimed to fill this gap by examining the usage patterns, satisfaction levels, and acceptance factors of GenAI tools among English major students in Indonesian higher education. …”
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A bibliometric analysis of the immune system and cognitive impairment: trends from 1985 to 2024 by Beibei Zou, Jinxi Xiang, Muhua Zhang, Jing Huang, Chao Feng

“…Bibliometric analysis provides a comprehensive approach to understanding research trends, influential contributions, and emerging topics in this interdisciplinary field.MethodsThis study conducted a bibliometric analysis of publications related to the immune system and cognitive impairment from 1985 to 2024, retrieved from the Web of Science Core Collection. …”
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Global trends and emerging insights in ocular tumor-associated metabolites: a bibliometric and visualization analysis by Subo Cai, Wuping Xu, Dongyi Yu, Yimin Xia

“…Bibliometric analyses, including publication trends, citation networks, and keyword co-occurrence patterns, were performed using VOSviewer and CiteSpace. …”
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Experience, attitudes, and demographic factors influence the probability of reporting human–black bear interactions by Ryan C. Wilbur, Stacy A. Lischka, Jessica R. Young, Heather E. Johnson

“…Although several variables in our analyses were influential in explaining reporting behavior, the overall predictive power of our models was low (R2 = 0.17), suggesting future investigations of reporting behavior should include a broader set of covariates. …”
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New perspectives on picocyanobacteria and understudied cyanobacterial diversity in the Albemarle Pamlico sound system, North Carolina, USA by Joel Sánchez-Gallego, Joel Sánchez-Gallego, Nathaniel P. Curtis, Hans W. Paerl, Ryan W. Paerl

“…Salinity and temperature were influential drivers of cyanobacterial community composition. …”
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Landscape genomics reveals genetic signals of environmental adaptation of African wild eggplants by Emmanuel O. Omondi, Chen‐Yu Lin, Shu‐Mei Huang, Cheng‐An Liao, Ya‐Ping Lin, Ricardo Oliva, Maarten vanZonneveld

“…The selected environmental variables and candidate SNPs effectively revealed grouping patterns according to the environmental characteristics of sampling sites. …”
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Data-driven power marketing strategy optimization and customer loyalty promotion by Bo Chen, Wei Cui

“…In particular, customer interaction scores and market response rates are the most influential factors driving customer loyalty, providing critical insights for companies to adjust their strategies effectively. …”
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Optimization and microstructural study of friction riveted carbon-Kevlar and aluminum joints for aerospace applications by Nagarajan Jawahar Vignesh, Rajesh Jesudoss Hynes Navasingh, Shenbaga Velu Pitchumani, Angela Jennifa Sujana Jesudoss, Piotr Nieslony, Venkatachalam Gopalan, Krzysztof Stebel, Radosław Jasiński, Maciej Zdanowski, Jana Petru, Robert Čep

“…Optimization showed that the speed of the rivet is the most influential parameter in determining the strength of the joint and it is followed by friction time and pressure. …”
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The Impact of Digital Tourism Marketing Dimensions on Attracting Domestic Tourism in Saudi Arabia

“…Social media engagement, while still relevant, was the least influential of the five factors, suggesting that more targeted and interactive social content may be needed to increase its effectiveness. …”
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Four decades of spatio-temporal trends in Miankaleh Wetland´s water body and vegetation as revealed by remote sensing time series by Nima Arij, Hooman Latifi, Arvin Fakhri, Rohollah Esmaili

“…These disrupt regional patterns, necessitating time series analyses to inform their long-term trends. …”
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