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  1. 201

    A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithms by G. Roncoroni, P. Koyan, E. Forte, J. Tronicke, M. Pipan

    Published 2025-02-01
    “…Abstract We present a 2D multi-offset, multi-frequency synthetic GPR data set specifically designed to evaluate and test processing, analysis and inversion techniques. …”
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  2. 202

    Differential Causal Associations of Chronic Gastritis and Ulcerative Colitis with Melanoma Risk: A Mendelian Randomization Study Using Large-Sample GWAS Data by Jin R, Lu J, Cheng S, Shi S

    Published 2025-06-01
    “…This study employed Mendelian randomization (MR) to investigate the potential causal link between chronic gastrointestinal inflammatory diseases and melanoma risk.Patients and Methods: Genetic variants associated with chronic gastrointestinal inflammation were derived from large-scale genome-wide association studies (GWAS) on autoimmune hepatitis, chronic gastritis, chronic hepatitis B and C infections, chronic pancreatitis, Crohn’s disease, gastroesophageal reflux disease, and ulcerative colitis. Melanoma GWAS data served as the outcome dataset. A two-sample MR analysis was conducted to assess causal relationships, with inverse variance weighting (IVW) as the primary method. …”
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  3. 203

    Gut microbiota influence on lung cancer risk through blood metabolite mediation: from a comprehensive Mendelian randomization analysis and genetic analysis by Yizhao Du, Qin Wang, Zongmei Zheng, Hailun Zhou, Yang Han, Ao Qi, Lijing Jiao, Lijing Jiao, Yabin Gong

    Published 2024-09-01
    “…We employed diverse MR methods, including inverse-variance-weighted (IVW), weighted median, MR-Egger, weighted mode, and simple mode, to ensure a robust examination of the data. …”
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  4. 204

    Tower building model based on sustainable social development and its effects on the preservation of Tehran\'s urban environment by Valiollah ghasemi, afshin ghorbani param

    Published 2025-03-01
    “…The sample size for this study was 384 participants, and data were collected using questionnaires. The data analysis was conducted using SPSS software. …”
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  5. 205
  6. 206

    Triglyceride-glucose index correlates with the incidences and prognoses of cardiac arrest following acute myocardial infarction: data from two large-scale cohorts by Huiruo Liu, Liangshan Wang, Hong Wang, Xing Hao, Zhongtao Du, Chenglong Li, Xiaotong Hou

    Published 2025-03-01
    “…The current study aims for clarifying the link of TyG with the incidences and prognoses of cardiac arrest (CA) following acute myocardial infarction (AMI). Methods Our analysis is a multicenter, retrospective study utilizing data from the Medical Information Mart for Intensive Care IV and the eICU Collaborative Research Database. …”
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  7. 207
  8. 208

    The causal relationship between immune cell phenotypes and esophageal cancer development: a bidirectional Mendelian randomization study by Xun Zhang, Hailang Zhou, Qianqian Meng, Weiyi Wang, Lu Zhou, Ying Xu, Haiqin Zhang, Zixu Zhang, Jinnian Cheng, Xiaopeng Zhan, Ji Li, Changping Hu, Fengli Zhou, Daming Yang, Luowei Wang, Yimin Chu, Haixia Peng

    Published 2025-07-01
    “…This study aimed to explore the potential causal associations between immune cell traits and EC risk using Mendelian randomization (MR) analysis. Methods A bidirectional two-sample MR analysis was conducted using genome-wide association study data from European populations. …”
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  9. 209
  10. 210

    Analysis of Coastline Changes in Zhanjiang Bay from 1973 to 2023 by Guan Zhuoqiang, Li Junyi, Xie Lingling, Zheng Quan'an, Ye Xiaomin

    Published 2024-11-01
    “…As a typical tropical bay in China, analyzing the coastline changes in Zhanjiang Bay can provide basic data to support the development and utilization of coastal zones. …”
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  13. 213

    Study on temperature field characteristics of window glass unexposed surfaces under varying indoor fire source conditions by Zhihan Li, Guowei Zhang, Longfei Yu, Yinxin Qu, Xiangfei Liu

    Published 2025-09-01
    “…This study developed a full-scale indoor fire test platform to investigate the feasibility of fire source localization through inverse analysis of temperature fields on the fire-unexposed side of glass windows. …”
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  14. 214

    Rethinking Inequality: The Complex Dynamics Beyond the Kuznets Curve by Sarthak Pattnaik, Maryan Rizinski, Eugene Pinsky

    Published 2025-06-01
    “…This study analyzes income inequality trends from 2000 to 2023 across developed countries (the United States, the United Kingdom, Germany, and France) and developing nations using World Bank Gini coefficient data. …”
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  15. 215
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    Detection and characteristic analysis of the crustal basement interface in Guangxi, China by Zhongxu Lu, Fuqiang Yang, Yang Yang, Haizhi Liao, Yajun Mo

    Published 2025-03-01
    “…Gravity data were then employed to investigate the undulating morphology of the basement surfaces. …”
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  17. 217

    Abstract 071: Oral Contraceptive Use and Development of Acute Ischemic Stroke: A Population‐Based Retrospective Cohort Study by Alis J. Dicpinigaitis, Giana Dawod, Bridget A. Nolan, Catherine A. Morse, Jon Rosenberg, Gurmeen Kaur, Ji Y. Chong, Stephan A. Mayer, Chirag D. Gandhi, Fawaz Al‐Mufti

    Published 2023-11-01
    “…The incidence of AIS was significantly greater in OCP users compared to non‐OCP users (2.8% vs. 0.4%; aOR 7.50, 95% CI 7.43 to 7.58; p < 0.001). Sub‐group analysis of hospitalizations without any stroke risk factors also demonstrated a significant association of OCP use with the development of AIS (1.3% vs. 0.1%; aOR 14.84, 95% CI 13.16 to 16.72; p < 0.001) following adjustment for age and race/ethnicity. …”
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    Computational methods and artificial intelligence-based modeling of magnesium alloys: a systematic review of machine learning, deep learning, and data-driven design and optimizatio... by Hanxuan Wang, Raman Kumar, Raman Kumar, Ashutosh Pattanaik, Rajender Kumar, Rajender Kumar, Ali Saeed Owayez Khawaf Aljaberi, Mayada Ahmed Abass

    Published 2025-08-01
    “…The study concludes that integrating physics-informed ML models, using multimodal data, and employing inverse design will be crucial for advancing the intelligent development of high-performance Mg alloys for sustainable engineering applications.…”
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