Using spatial, economic, and ecological opinion data to inform gray wolf conservation by Meredith S. Berry, Norma P. Nickerson, Elizabeth Covelli Metcalf

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Data-driven analyses of behavioral strategies to eliminate cysticercosis in sub-Saharan Africa. by Laura A Skrip, Veronique Dermauw, Pierre Dorny, Rasmané Ganaba, Athanase Millogo, Zékiba Tarnagda, Hélène Carabin

“…<h4>Methodology/principal findings</h4>Province-specific data on human behaviors (i.e., latrine use and pork consumption) and serological prevalence of human and pig disease were used to inform a deterministic, compartmental model of the taeniosis/cysticercosis disease system. …”
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ANALYSIS OF THE APPLICATIONS OF THE DATA-DRIVEN APPROACH IN EVALUATING THE THERMAL-PHYSICAL PROPERTIES OF COMPOSITES by Ruslan Lavshchenko, Gennadiy Lvov

“…This research analyzes the potential and prospects of a data-driven methodology for examining the thermo-physical properties of composite materials. …”
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World Health Organization Member States and Open Health Data: An Observational Study by Charles J Greenberg, Sangeeta Narang

“…Background Open health data has implications for clinical care, research, public health, and health policy at regional, national, and global levels. …”
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Ensemble machine learning-based extrapolation of Penman-Monteith-Leuning evapotranspiration data by Vahid Nourani, Ramin Ahmadi, Yongqiang Zhang, Dominika Dąbrowska

“…At the Seto site, the methodology yielded a 39 % improvement over the PM model based on observed AET data. These findings have significant implications for ecohydrology, offering improved ET estimates for future projections and historical periods prior to 2000.…”
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Glycemic control and prostate antigen levels in individuals with diabetes based on NHANES data by Xiao Huo, Zhi Wang, Nan Huang, Jie Zhang

“…We analyzed data from the 2001–2010 NHANES to assess the relationship between glycated hemoglobin (HbA1c) and tPSA in adults with diabetes, categorizing HbA1c as < 7% (good glycemic control) or ≥ 7% (poor glycemic control). …”
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Donor funding for newborn survival: an analysis of donor-reported data, 2002-2010. by Catherine Pitt, Joy E Lawn, Meghna Ranganathan, Anne Mills, Kara Hanson

“…We evaluated if and how aid flows for newborn care can be tracked, examined changes in the last decade, and considered methodological implications for tracking funding for specific population groups or diseases.…”
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Integrating genetic and gene expression data in network-based stratification analysis of cancers by Kenny Liou, Ji-Ping Wang

“…Conclusions Our study highlights the significance of integrating multi-omics data within the NBS framework to enhance cancer subtyping, specifically its utility in offering profound implications for personalized prognosis and treatment strategies. …”
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Research on Multiscale Atmospheric Chaos Based on Infrared Remote-Sensing and Reanalysis Data by Zhong Wang, Shengli Sun, Wenjun Xu, Rui Chen, Yijun Ma, Gaorui Liu

“…The atmosphere is a complex nonlinear system, with the information of its temperature, water vapor, pressure, and cloud being crucial aspects of remote-sensing data analysis. There exist intricate interactions among these internal components, such as convection, radiation, and humidity exchange. …”
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Assessing the utility of live data streams across existing and planned university buildings by William Markiewicz, Vince Wilczynski, Julie Dorsey, Duncan Wilson, Clifford Elwell

“…This study provides a theoretical and practical assessment of the potential benefits of live data streams, as used in digital twins, relating to a building’s running cost and carbon emissions. …”
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Burden of disease of Alzheimer disease in Italy: a real-world data analysis by Francesco Saverio Mennini, Paolo Sciattella, Matteo Scortichini, Raffaele Migliorini, Marco Trabucco Aurilio, Andrea Marcellusi, Angelo Bianchetti

“…The aim of this study is to build a cost-of-illness model to estimate the number of AD patients managed by the National Health Service, analyzing their use of hospital care, and estimating the social costs through real-world data. Methods The analysis encompassed a multifaceted approach, combining real-world data analysis from different sources for the period 2014–2019. …”
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Hidden Activity Revealed: Photospheric Energetics and Dynamics with High-resolution Magnetographic Data by Manolis K. Georgoulis, Qin Li, Jeongwoo Lee, Haimin Wang, Nour E. Raouafi

“…These intriguing results could have wide-ranging implications for in situ solar wind measurements and their solar sources in the Parker Solar Probe mission, as well as for high-resolution observations featuring simultaneous photospheric and chromospheric magnetograms including, but not limited to, data from the Daniel K. …”
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Data-driven framework for prediction of mechanical properties of waste glass aggregates concrete by Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom, Ahmed M. Ebid, Hamza Imran, Miguel Angel Duque Vaca, Greys Carolina Herrera Morales, Nestor Ulloa, Krishna Prakash Arunachalam

“…Abstract This research presents a novel data-driven framework for predicting the mechanical properties of waste glass aggregate concrete using six advanced metaheuristic optimization algorithms: Bat Algorithm (Bat), Cuckoo Search Algorithm (Cuckoo), Elephant Herding Optimization (Elephant), Firefly Algorithm (Firefly), Rhinoceros Optimization Algorithm (Rhino), and Gray Wolf Optimizer (Wolf). …”
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The limitations of mobile phone data for measuring movement patterns of populations at risk of malaria by Greta Tam, Ipsita Sinha, Kulchada Pongsoipetch, Keobouphaphone Chindavongsa, Mayfong Mayxay, Sonexay Phalivong, Benjamin J. Cowling, Olivo Miotto, Supaporn Mahaphontrakoon, Saiamphone Xayvanghang, Richard J. Maude

“…Abstract Background As global mobile phone adoption increases, mobile phone data has been increasingly used to measure movement patterns of populations at risk of malaria. …”
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Two-Stage Fault Classification Algorithm for Real Fault Data in Transmission Lines by Se-Heon Lim, Taegeun Kim, Kyeong-Yeong Lee, Kyung-Min Song, Sung-Guk Yoon

“…Fault classification in power transmission lines is important in distance relaying for identifying the accurate phases implicated in the fault occurrence. Generally, the accuracy of fault classification algorithms is evaluated by simulation data, which shows quite different characteristics from real fault data. …”
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Vehicle miles traveled and the built environment: New evidence from panel data by Keith Ihlanfeldt

“…While this issue has been extensively researched, due to the heavy reliance on cross-sectional data, there remains uncertainty regarding how effective local land-use planning and regulation might be in reducing VMT. …”
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Experimentally Constrained Mechanistic and Data-Driven Models for Simulating NMDA Receptor Dynamics by Duy-Tan J. Pham, Jean-Marie C. Bouteiller

“…Dysfunction of NMDA receptors is implicated in various neurological diseases due to their roles in both normal cognition and excitotoxicity. …”
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Access distance to e-scooters: Analysis of app use and trip data in Stockholm by Boel Berg Wincent, Erik Jenelius, Wilco Burghout

“…This paper proposes a novel approach to analyze access distances of e-scooters users based on e-scooter app use and trip data for Stockholm, Sweden. Euclidean access and map-based walking distances are derived from the distances between the location where the users opens the app to search for an e-scooter and the trip’s origin. …”
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Identifying key palmitoylation-associated genes in endometriosis through genomic data analysis by Jinyan Kai, Jiaqi Su, Yinping You, Xiaoliang Liang, Haitao Huang, Jie Fang, Qiong Chen

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Challenges and Ethical Considerations in Implementing Assistive Technologies in Healthcare by Eleni Gkiolnta, Debopriyo Roy, George F. Fragulis

“…While earlier research has investigated the ethical, legal, and societal implications of AI and assistive technologies, many studies have failed to address real-world obstacles such as data privacy, algorithm bias, and regulatory issues. …”
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