VSL-Gravity in light of PSR B1913+16 full data set: Upper limits on graviton mass and its theoretical consequences by Alexander Bonilla, Alessandro Santoni, Rafael C. Nunes, Jackson Levi Said

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DeFault: DEep‐Learning‐Based FAULT Delineation Using the IBDP Passive Seismic Data at the Decatur CO2 Storage Site by Hanchen Wang, Yinpeng Chen, Tariq Alkhalifah, Ting Chen, Youzuo Lin, David Alumbaugh

“…By leveraging data domain‐adaptation, DeFault allows us to train a neural network with labeled synthetic data and apply it directly to field data. …”
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Uncovering Impacts of Tourism on Social–Ecological Vulnerability Using Geospatial Analysis and Big Earth Data: A Karst Ethnic Village Perspective by Yiqin Bao, Hua Zhang, Chong Wu

“…In this study, we first applied the vulnerability spectrum diagram (VSD) model assessment framework to various remotely sensed and socially sensed data to evaluate ecological and social vulnerability, taking Leishan County, a typical karst region in Guizhou, southwest China as a case study. …”
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Guidelines and practice on antipsychotics prescribing and physical health monitoring in children and young people: a cohort study using primary care data by Ruth H Jack, Chris Hollis, Yana Vinogradova, Carol Coupland, Richard Morriss, Vibhore Prasad

“…To audit more exactly clinical practice against guidelines, we propose qualitative studies, targeted to cover the full range of local circumstances, nationally.Clinical implications General practices should be encouraged to prioritise encoding of all treatment data. …”
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Assessing the accuracy of adherence and sexual behaviour data in the MDP301 vaginal microbicides trial using a mixed methods and triangulation model. by Robert Pool, Catherine M Montgomery, Neetha S Morar, Oliver Mweemba, Agnes Ssali, Mitzy Gafos, Shelley Lees, Jonathan Stadler, Andrew Nunn, Angela Crook, Richard Hayes, Sheena McCormack

“…This has important implications for the use of structured questionnaires for the collection of data on sexual behaviour and adherence. …”
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Optimizing taxi operations in Shanghai for reduced idle time and greener transportation: a spatiotemporal analysis using trajectory data and complex networks by Zhanxin Ma, Zhangyi Ye, Xinyue Sun, Bin Pan, Haobo Ni, Yixiu Kong

“…The framework provides data-driven, actionable insights for traditional cruising taxi operations, offering practical guidance for driver decision-making and supporting sustainable urban mobility planning with direct implications for reducing transportation-related carbon emissions in megacities worldwide.…”
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Long-term trends and chemometric analysis of atmospheric air quality matrices in Nigeria (2003–2023) using NASA GIOVANNI satellite data by Daniel Omeodisemi Omokpariola, John Kanayochukwu Nduka, Martin Osita Anagboso, Patrick Leonard Omokpariola

“…Data was collected and analyzed using the NASA GIOVANNI platform, a web-based tool providing access to Earth science data. …”
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High-Quality Road Detection Using U-Net-Based Semantic Segmentation with High-Resolution Orthophotos and DSM Data in Urban Environments by M. Fawzy, M. Fawzy, A. Juhász, A. Barsi

“…The results underscore the importance of multimodal data fusion in geospatial analysis and its implications for enhancing road detection frameworks. …”
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Improving runoff estimation in hydrological models using remote sensing and climate data reanalysis in the Dittaino River Basin (Eastern Sicily, Italy) by Liviana Sciuto, Daniela Vanella, Giuseppe Luigi Cirelli, Simona Consoli, Feliciana Licciardello, Giuseppe Longo-Minnolo

“…The methodology was tested on 14 rainfall events (2015–2018) using different input configurations: standard data (SI), reanalysis precipitation data (CR), satellite-derived land cover data (SD), and a combination of both (CR&SD). …”
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“It's very important that you measure throughout that journey…”: patient perspectives towards quality-of-life data collection following haematopoietic cell transplant by Gemma Pugh, Lauren Young, Christina Yiallouridou, Dawn Hart, Karen Dean, Robert Danby

“…Many patients described being oblivious to the potential long-term implications of HCT and felt it would be reassuring to know the ‘typical’ trajectory of HCT recovery from patient outcome data collected > 100 days post-transplant. …”
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The impact of participating in basic medical insurance on depression scores of rural middle-aged and older adults—an empirical analysis based on CFPS data by Ziyin Liao, Rui Zhou, Jingwei Huang, Qing Wang, Jiajing Xu

“…The findings hold significant theoretical implications.…”
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Cohort profile: Born in Wales—a birth cohort with maternity, parental and child data linkage for life course research in Wales, UK by Amrita Bandyopadhyay, Sarah Davies, Michaela James, Sinead Brophy, Sam Dredge, Hope Jones, Mike J Seaborne, Natasha L Kennedy, Adele Battaglia

“…Supplementary datasets complement the existing linkage, including primary care, hospital data, educational attainment and social care. Future research includes exploring the long-term implications of COVID-19 on child health and development, and examining the impact of parental work environment on child health and development.…”
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Context-Contingent Privacy Concerns and Exploration of the Privacy Paradox in the Age of AI, Augmented Reality, Big Data, and the Internet of Things: Systematic Review by Christian Herriger, Omar Merlo, Andreas B Eisingerich, Annisa Rizkia Arigayota

“…The findings challenge static views of privacy and highlight the need for tailored frameworks that reflect dynamic, context-dependent behaviors. Practical implications include guiding health care providers, policy makers, and technology developers toward context-sensitive strategies that build trust, enhance data protection, and support ethical digital health innovation. …”
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Diagnostic potential of the B9D2 gene in colorectal cancer based on whole blood gene expression data and machine learning by Zhaorui Wang, Yongcheng Fu, Haozhe Zhang, Na Liu, Ningjing Lei

“…This study is the first to investigate the diagnostic potential of B9D2 in CRC, using bioinformatics and machine learning to uncover its novel role in early detection, with implications for clinical translation. Methods Gene expression data from whole blood samples obtained from the GEO database were analyzed to identify differentially expressed genes (DEGs) associated with CRC, using a adjusted p-value threshold of < 0.05 and an absolute logFC > 0.5. …”
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Analyzing Online Search Trends for Kidney, Prostate, and Bladder Cancers in China: Infodemiology Study Using Baidu Search Data (2011-2023) by Shuangquan Lin, Lingxing Duan, Xiangda Xu, Haichao Cao, Xiongbing Lu, Xi Wen, Shanzun Wei

“…ObjectiveThis study aims to analyze trends in online searches and user information–seeking behaviors related to bladder, kidney, and prostate cancers—encompassing descriptive terms (eg, “bladder cancer,” “kidney cancer,” “prostate cancer”) as well as related synonyms and variations—on both national and regional scales. This study leverages data from mainland China’s leading search engine to explore the implications of these search patterns for addressing user needs and improving health management. …”
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Reallocating 24-hour movement behaviors and its impact on mental health in preschool children: a compositional data and dose-response analysis by Tian Wang, Junyu Wang, Xuelin Lu, Xuhui Chen, Lanzhi Chen, Yixin Liang, DongQing Yang, Yanmei Shi, Rui Li, Yong Yang, Beibei Luo, Jie Zhuang

“…Mental health was evaluated using the Strengths and Difficulties Questionnaire (SDQ), assessing Total Difficulties, Internalizing Problems, Externalizing Problems, and Prosocial Behavior. Compositional data analysis was conducted using isometric log-ratio (ilr) transformation, followed by multivariate linear regression to assess associations. …”
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Exploring the impact of cuproptosis on prostate cancer prognosis via RNA methylation regulation based on single cell and bulk RNA sequencing data by Junchao Wu, Junchao Wu, Junchao Wu, Wentian Wu, Jiaxuan Qin, Jiaxuan Qin, Jiaxuan Qin, Ziqi Chen, Ziqi Chen, Ziqi Chen, Rongfang Zhong, Peng Guo, Song Fan, Song Fan, Song Fan

“…Nonetheless, the prognostic implications and underlying regulatory mechanisms of them associated with prostate cancer (PCa) remain to be thoroughly investigated.MethodsGenomic and clinical data for PCa from The Cancer Genome Atlas datasets were analyzed to identify a prognostic model through univariate and Least Absolute Shrinkage and Selection Operator Cox regression analyses that were validated utilizing external datasets. …”
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Application of Isokinetic Dynamometry Data in Predicting Gait Deviation Index Using Machine Learning in Stroke Patients: A Cross-Sectional Study by Xiaolei Lu, Chenye Qiao, Hujun Wang, Yingqi Li, Jingxuan Wang, Congxiao Wang, Yingpeng Wang, Shuyan Qie

“…Conclusions: This study highlights the potential of integrating advanced sensor technology with machine learning techniques in the analysis of complex clinical data. The developed GDI prediction model, based on sensor-acquired isokinetic dynamometry data, offers a novel, streamlined, and effective tool for assessing rehabilitation progress in post-stroke hemiplegic patients, with promising implications for broader clinical application.…”
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Remdesivir associated with reduced mortality in hospitalized COVID-19 patients: treatment effectiveness using real-world data and natural language processing by José Ramón Arribas López, María Pilar Ruiz Seco, Francisco Fanjul, Beatriz Díaz Pollán, Patricia González Ruano Pérez, Adrián Ferre Beltrán, Rosa De Miguel Buckley, Laura Portillo Horcajada, Cristina De Álvaro Pérez, Paulo Jorge Barroso Santos Carvalho, Savana Research Group, Melchor Riera Jaume

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Influence of the salaries of the academic personnel of the co-financed universities on the number of scientific publications by Juan Antonio Jimber del Rio, Argentina Arias Barrionuevo

“…Research limitations/implications: The paper has some limitations, such as the lack of data on other characteristics of the academic staff that may affect their research productivity, such as gender, age, work experience, teaching hours, or administrative duties. …”
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