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  1. 681

    Inpatient treatment for severe obesity: A retrospective cohort study in Brazil, comparing exposure variables in a secondary data analysis. by Domingos L S Rios, Márcia C A M Oliveira, Sérgio Q Braga, Matheus J Chamorro, Beatriz L B Cunha, Ana C R Reis, Ana P Guimarães, Ana D N Silva, Dandara A R Silva, Edilene M Q Araújo, Magno M W Pimentel

    Published 2025-01-01
    “…We evaluated the effectiveness of treating severe obesity in hospitalized patients, using very low-calorie diets and clinical support to develop lifestyle changes.<h4>Methods</h4>This study was a retrospective cohort comparing exposure variables in a secondary data analysis with a pre-post treatment design. …”
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  2. 682

    Comparison of remotely sensing and meteorological data-derived drought indices in mid-western Iran by Hamid Nazaripour, Hossein Jahantigh, Mokhtar Jafari

    Published 2023-09-01
    “…Several indices have been developed for drought quantification based on ground data and remote sensing. …”
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  8. 688

    Improved management of hospital-acquired infections with DRG-based payment system: an interrupted time‑series analysis by Yuhua Yuan, Yanqiu Wang, Weiwei Huang, Xia Sun, Xianquan Hu, Yanyun Jiang, Nihan Zhang, Xiufen Chen, Yexuzi Li, Huan Xu, Jin Zhao, Baihuan Feng

    Published 2025-06-01
    “…Abstract Background While diagnosis-related group (DRG) payment system has been shown to improve healthcare quality and reduce costs in high-income countries, its effectiveness in developing countries, particularly in terms of hospital-acquired infection (HAI) management, remains unclear. …”
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  11. 691

    Formation of the pediatric electroretinogram database parameters for the development of doctor’s decisionmaking algorithm by A. E. Zhdanov, A. Yu. Dolganov, V. N. Kazaykin, V. I. Borisov, V. O. Ponomarev, L. G. Dorosinsky, A. V. Lizunov, E. Luchian, X. Bao

    Published 2022-05-01
    “…The classification of electroretinogram signals depends on the quality of labeled biomedical information or databases, in addition to this, the accuracy of the classification results obtained depends not only on computer technology, but also on the quality of the input data. To date, the analysis of electroretinogram signals is realized manually and largely depends on the experience of clinicians. …”
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  15. 695

    Risk factor analysis and predictive model development for healthcare-associated infections post-coronary artery bypass grafting by Yan Liu, Lingbo Xue, Ping Jiang, Jiaojiao Shen, Xiao Peng, Xiaoqiang Yu

    Published 2025-07-01
    “…Patients were divided into an infection group and a non-infection group based on whether they developed HAIs during the postoperative hospitalization period. …”
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  16. 696

    Integrating clinical data and genetic susceptibility to elucidate the relationship between systemic lupus erythematosus and human cytomegalovirus infection by Xin Luo, Liuliu Quan, Qingting Lin, Huiteng Rong, Yue Liu, Jiaqi Meng, Xin You

    Published 2024-11-01
    “…Therefore, in the present study, we aimed to elucidate the relationship between HCMV and autoantibodies in patients with SLE by integrating clinical data and genetic susceptibility. Methods Using various statistical methods, we conducted a retrospective analysis of the spectrum of SLE autoantibodies and HCMV infections among patients hospitalized at our center over the past 10 years. …”
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  17. 697

    GENE POLYMORPHISM ANALYSIS OF CHEMOKINES, CHEMOKINE RECEPTORS, ACUTE PHASE PROTEINS, AND CD14 IN FEMALE OBESITY DEVELOPMENT by O. V. Kochetova, L. Z. Akhmadishina, G. F. Korytina, Т. V. Victorova

    Published 2018-11-01
    “…It has been shown that the AA genotype of polymorphic locus rs3732378 of the CX3CR1 gene is associated with increased body weight (p = 0.002) and elevated BMI (p = 0.018); the GG genotype of polymorphic locus rs1024611 of the CCL2 gene is associated with elevated fasting glucose level (p = 0.001).As based on clinical and genetic data and using logistic regression, some statistically significant differences were revealed, which allow to predict development of obesity in Tatar women.…”
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  18. 698

    Relationship between economic development, forest resources, and forest fires: European context by Olena Dobrovolska, Knut Schmidtke, Viktoriia Hnatushenko, Svitlana Sytnyk, Iryna Dmytriieva

    Published 2024-08-01
    “…Studying the dynamics of forest cover indicators (the share of forests in the total area of the country and forest area per capita), weighted within the internationally recognized regions of Europe, it is confirmed that the level of forest cover of European countries is gradually increasing. The analysis of forest fire area maps identifies three main groups by the level of vulnerability to forest fires: safe (Northern European countries), conditionally safe (Western European countries), and dangerous (Eastern and Southern European countries).Denmark, Finland, France, Norway, and Finland show a direct correlation between the level of forest cover of a country’s territory and gross domestic product. …”
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  19. 699
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    Machine Learning Methods of Providing Informational Management Support for Students’ Professional Development by I. G. Zakharova

    Published 2018-12-01
    “…To identify the characteristics of professional development, a computer cluster analysis of texts was carried out using the K-means method of clustering. …”
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