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  1. 68341

    Towards precision medicine strategies using plasma proteomic profiling for suspected gallbladder cancer: A pilot study by Ghada Nouairia, Martin Cornillet, Hannes Jansson, Annika Bergquist, Ernesto Sparrelid

    Published 2025-06-01
    “…Background & Aims: Currently, preoperative diagnostic methods that can distinguish cancer from benign disease of the gallbladder are insufficient, and several surgical resections can be avoided if the pathology is known prior to surgery. …”
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  2. 68342

    Features of “Inverted” Educational Resources for Distance Learning of Pupils by D. A. Barkhatova, A. L. Simonova, P. S. Lomasko, L. B. Khegay

    Published 2021-08-01
    “…Having already a certain baggage of knowledge and experience in the subject area being mastered, the student can begin the study by identifying deficiencies and possible difficulties, their reflection, and only then proceed to a more conscious formation of new knowledge and specific methods of action.Conclusion. In conclusion, the paper summarizes the features of “inverted” resources for distance learning of schoolchildren, provides further plans for the development of the project, and also identifies the possible areas to use the results.The materials of the article may be of interest to developers of digital learning resources, researchers of educational learning models, teachers wishing to use digital cognitive and mental learning technologies.…”
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  3. 68343
  4. 68344

    Fractal Theory and Its Financial Applications for Improving the Quality of Professional Training at The Higher School of Economics by D. A. Vlasov, P. A. Karasev, A. V. Sinchukov

    Published 2022-07-01
    “…The article presents the didactic potential of modern fractal theory and its financial applications related to modeling and forecasting of financial performance. …”
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  5. 68345
  6. 68346

    Internal migration and depressive symptoms: Exploring selection and outcomes in a South African cohort by Carren Ginsburg, Tyler W. Myroniuk, Chantel F. Pheiffer, Bianca D. Moffett, Michael J. White

    Published 2024-12-01
    “…We employ logistic regression analysis to investigate selectivity of migrants in relation to depressive symptoms, and we fit generalized linear models to analyse depressive symptoms (CES-D scores) as a function of migration status and sociodemographic and health characteristics, accounting for temporal sequence. …”
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  7. 68347
  8. 68348

    Proteomics uncovers ICAM2 (CD102) as a novel serum biomarker of proliferative lupus nephritis by Dan Gao, Dongwei Liu, Zhangsuo Liu, Zhengyong Li, Yifang Sun, Yixue Wang, Fengxun Liu, Shaokang Pan, Songwei Li, Zuishuang Guo, Jinghua Yang

    Published 2025-04-01
    “…The key networks associated with LN were screened out using Cytoscape software, followed by pathway enrichment analysis. The best candidate biomarkers were selected by machine learning models, further validated in a larger independent cohort. …”
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    Article
  9. 68349

    Post-Anesthesia Care Unit (PACU) readiness predictions using machine learning: a comparative study of algorithms by Shahnam Sedigh Maroufi, Maryam Soleimani Movahed, Azar Ejmalian, Maryam Sarkhosh, Ali Behmanesh

    Published 2025-03-01
    “…Unlike prior studies relying on statistical models or single-algorithm methods, this research assesses multiple ML models to predict discharge readiness, comparing them against staff evaluations and the Aldrete checklist. …”
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  10. 68350

    Estimating canopy fuels across Europe with satellite data and allometric equations by E. Kutchartt, E. Kutchartt, J. R. González-Olabarria, J. R. González-Olabarria, N. Aquilué, N. Aquilué, A. Trasobares, F. Pirotti, F. Pirotti

    Published 2024-11-01
    “…This study presents results regarding the estimation of two critical variables for modelling fire behaviour and fire danger: the canopy base height (CBH) and the canopy bulk density (CBD). …”
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  11. 68351

    Applying the VERACITY data framework: how do public health agencies score? by Mrs Rinette Badker, Mr. Benjamin Ash, Ms Naama Kipperman, Mr. Patrick Savage, Mr. Chris Pardee, Nita K Madhav

    Published 2025-03-01
    “…Introduction: The data framework, VERACITY (Verified, Encompassing, Representative, Accessible, Comprehensible, Interoperable, Timely, and Year-round), was developed to aid in the assessment of data consistency and reliability for use in epidemiological analysis and modeling. Here, we present a novel application of the VERACITY framework to reported data from several public health agencies to determine if the VERACITY framework meets its objectives. …”
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  12. 68352

    Sex hormone-binding globulin and sex-specific association between irritable bowel syndrome and type 2 diabetes: a prospective cohort study by Mengying Wang, Yinxi Tan, Huangda Guo, Hexiang Peng, Siyue Wang, Yi Zheng, Tianjiao Hou, Chenghua Gao, Wenyan Xian, Jie Huang, Tao Wu

    Published 2025-07-01
    “…Abstract Objective To investigate the sex-specific association between irritable bowel syndrome (IBS) and type 2 diabetes (T2D), and further explore whether sex-hormone binding globulin (SHBG) was an associated factor of the sex-specific association. Methods The study was a prospective analysis based on the UK biobank (UKB) data. …”
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  13. 68353

    Association Between Systemic Immune-Inflammatory Indices and Severity of Coronary Artery Lesions in Patients With Coronary Artery Disease in Different Glucose Metabolic States by Jin X, Liu Y, Jia W, Xu R, Guan X, Cui M, Zhang H, Wu H, Wei L, Qi X

    Published 2025-03-01
    “…Logistic regression and restricted cubic spline models were applied to estimate the relationship between SII and severity of coronary artery lesions in different glucose metabolic states with further adjustments for confounders.Results: Logistic regression analysis indicated a significant association between SII and coronary lesion severity (P < 0.05). …”
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  14. 68354

    Association between lipid profiles and platelet indices in middle-aged and older Chinese: a population-based cross-sectional study by Yanbo Li, Li Qin, Xiaoyong Li, Yixin Niu, Lina Chen, Xinyan Zhang, Hui Ran, Zhen Yang, Qing Su, Hongmei Zhang

    Published 2025-07-01
    “…Multiple linear regression models were then constructed to evaluate the impact of lipids on platelet indices, adjusting for these selected covariates. …”
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  15. 68355

    Association Between Serum Uric Acid to High-Density Lipoprotein Cholesterol Ratio and Pneumonia After Endovascular Treatment of Vertebrobasilar Artery Occlusion by Lan W, Yuan K, Xiao L, Qiu F, Sun W, Xu L, Cao H, Zhu W, Du M, Liu X

    Published 2025-02-01
    “…We used multivariable logistic regression models to assess the association between UHR and the risk of pneumonia after EVT and verified the findings in subgroup analysis.Results: Three hundred and seventy-eight patients were enrolled in this study, and 236 (62.4%) were diagnosed with pneumonia. …”
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  16. 68356

    Blood absolute lymphocyte count and trajectory are important in understanding severe COVID-19 by Catharine I. Paules, Jacqueline A. Nordwall, Kathryn Shaw-Saliba, Judith A. Aberg, Edward M. Gardner, Anna L. Goodman, N. Kumarasamy, Shikha Vasudeva, David M. Vock, Crystal M. North, Jens Lundgren, Neil R. Aggarwal, for the STRIVE Network and TICO Trial Study Group

    Published 2025-01-01
    “…Knowledge gaps remain regarding the relationship of ALC trajectory with clinical outcomes and factors associated with lymphopenia. Methods Our post hoc analysis of the Therapeutics for Inpatients with COVID-19 platform trial utilized proportional hazards models to assess relationships between Day (D) 0 lymphopenia (ALC < 0.9 cells/uL), D0 severe lymphopenia (ALC < 0.5 cells/uL) or lymphopenia trajectory between D0 and D5 with mortality and secondary infections, and with sustained recovery using Fine-Gray models. …”
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  17. 68357

    Aspartate aminotransferase-to-platelet ratio index as a novel predictor of early mortality in heat stroke patients: a multi-centre retrospective study by Min Wang, Yun Li, Yuan Cao, Meng-Meng Yang, Fu-Jing Liu, Jie Jiao, Sheng-Yuan Wang, Bin Song, Lu Wang, Yi-Qi Wu, Hong-Jun Kang

    Published 2025-12-01
    “…The independent association between APRI and outcomes was assessed using Cox proportional hazards models, with multivariable analyses controlling for confounding factors. …”
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  18. 68358

    Emergency department visits among rural and urban older adults: disparities in ambulatory and emergency care sensitive conditions by Cameron J. Gettel, Courtney Kitchen, Craig Rothenberg, Yuxiao Song, Ryan Koski-Vacirca, Katherine Schaffer, Alexander T. Janke, Nicholas M. Mohr, Margaret Greenwood-Ericksen, Arjun K. Venkatesh

    Published 2025-07-01
    “…We compared ED utilization for ambulatory care sensitive conditions (ACSCs) and emergency care sensitive conditions (ECSCs) among rural and urban Medicare beneficiaries. Methods We conducted a pooled cross-sectional analysis of 2016–2020 Medicare Current Beneficiary Survey data, assessing ED visitation rates for ACSCs and ECSCs. …”
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  19. 68359

    miR-21 and Pellino-1 Expression Profiling in Autoimmune Premature Ovarian Insufficiency by Xinran Li, Jiaxin Xie, Qingru Wang, Huihua Cai, Chuhai Xie, Xiafei Fu

    Published 2020-01-01
    “…Here, we conduct the target prediction of miR-21, identify the expression and correlation of miR-21 and its putative target Pellino-1 (Peli1), and confirm their relationship with clinical characteristics in autoimmune POI. Methods. Bioinformatic analysis was conducted to screen the miR-21 putative target gene. …”
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  20. 68360

    Diversity and seasonality of ectoparasite burden on two species of Madagascar fruit bat, Eidolon dupreanum and Rousettus madagascariensis by Angelo F. Andrianiaina, Santino Andry, Gwenddolen Kettenburg, Hafaliana Christian Ranaivoson, Vincent Lacoste, Philippe Dussart, Jean-Michel Heraud, Theresa M. Laverty, Sarah Guth, Katherine I. Young, Aristide Andrianarimisa, Cara E. Brook

    Published 2025-07-01
    “…The seasonal abundance of nycteribiid bat flies on both host bats was analyzed using generalized additive models, and the role of climate in driving this seasonality was assessed via cross-correlation analysis combined with generalized linear models. …”
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