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  1. 6341
  2. 6342

    Challenges in achieving the UNAIDS 95-95-95 targets: evaluation of the antiretroviral therapy program among adult HIV/AIDS patients at Woldia General Hospital, Northeast Ethiopia by Seada Seid, Mezgebu Yitayal, Lake Yazachew, Abdurahman Arega, Tilahun Dessie, Hassen Ahmed Yesuf, Jemila Seid Hassen, Abdulaziz Kebede Kassaw, Ali Yimer

    Published 2025-06-01
    “…Bivariable analysis was performed to identify variables with p-values less than 0.2 as potential candidates for multivariable logistic regression, with statistical significance set at p < 0.05. …”
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    Article
  3. 6343

    Genomic insights into genetic diversity and seed coat color change in common bean composite populations by Eva Plestenjak, Eva Plestenjak, Mohamed Neji, Lovro Sinkovič, Vladimir Meglič, Barbara Pipan

    Published 2025-01-01
    “…An understanding of the genetic mechanisms underlying seed coat color variation can aid in breeding programs aimed at improving esthetic and agronomic traits. …”
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    Article
  4. 6344
  5. 6345
  6. 6346

    A competing risk analysis of predictors of time to lost to follow-up among adults with TB/HIV coinfection in Bahir Dar by Robel Demelash, Getachew Hailu, Taye Abuhay, Zemenu Addis, Ayenew Tega, Degarege Nibret, Yitagesu Habtu

    Published 2025-08-01
    “…Bivariable and multivariable competing risk regression models were fitted, and variables with p values < 0.05 were considered significant predictors. …”
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    Article
  7. 6347

    Pharmacogenetics of statin therapy and the endothelial function parameters in patients with type 2 diabetes mellitus by Nadezhda O. Lebedeva, Olga K. Vikulova, Alexei G. Nikitin, Minara Sh. Shamkhalova, Marina V. Shestakova, Ivan I. Dedov

    Published 2016-07-01
    “…Aim. To investigate the association of variation in lipid-lowering response and endothelial function (EF) parameters after atorvastatin therapy in patients with type 2 diabetes mellitus (T2DM) with genetic markers of atherosclerosis.Methods. …”
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    Article
  8. 6348

    Global inequities in the survival of extremely preterm infants: a systematic review and meta-analysis by Temesgen Getaneh, Nusrat Homaira, Habtamu Kasaye, Sarah Jane C. Tapawan, Abrar Ahmad Chughtai, Kei Lui

    Published 2025-07-01
    “…Therefore, this study aimed to determine the global survival rate of extremely preterm infants and to compare it across different income levels and over time during the last two decades. …”
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    Article
  9. 6349

    Predicting cardiovascular outcomes in Chinese patients with type 2 diabetes by combining risk factor trajectories and machine learning algorithm: a cohort study by Qi Huang, Xiantong Zou, Zhouhui Lian, Xianghai Zhou, Xueyao Han, Yingying Luo, Shuohua Chen, Yanxiu Wang, Shouling Wu, Linong Ji

    Published 2025-02-01
    “…Accurately predicting these risks remains challenging due to limitations in traditional risk models. We aimed to develop a dynamic prediction model using machine learning and longitudinal trajectories of cardiovascular risk factors to improve prediction accuracy. …”
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    Article
  10. 6350

    The functional state of students depending on the ethno-territorial factor by Iryna Ivanyshyn, Igor Vypasniak, Sergii Iermakov, Tetiana Yermakova, Vasyl Lutskyi, Oleksandra Huzak, Mirosław Cieślicka, Marina Jagiello

    Published 2022-09-01
    “…Background and Study Aim. Integration processes in education provide for increased mobility of students from different countries. …”
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    Article
  11. 6351

    Evaluation of Coronary Artery Calcium Score (CACS) in Dipper and Non-Dipper Hypertensive Patients with Moderate and High Cardiovascular Disease Risks by Ahmet Cinar, Omer Gedikli, Muhammet Uyanik, Ozlem Terzi

    Published 2024-12-01
    “…The coronary artery calcium score (CACS) is an essential biomarker used to assess the presence and severity of coronary artery disease (CAD). This study aims to demonstrate the relationship between CACS and hypertensive patients with moderate-to-high cardiovascular disease (CVD) risk classified as either dipper or non-dipper. …”
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    Article
  12. 6352

    Attitudes Toward AI Usage in Patient Health Care: Evidence From a Population Survey Vignette Experiment by Simon Kühne, Jannes Jacobsen, Nicolas Legewie, Jörg Dollmann

    Published 2025-05-01
    “…Linear regression models assessed the relative influence of AI attributes on the dependent variables (support, risk perception, and personalized care), with additional subgroup analyses to explore heterogeneity by sociodemographic characteristics. …”
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    Article
  13. 6353

    Determinants of health literacy among older adults in Saboba district in Ghana: a cross-sectional study by Bismark Akubire, Vincent Uwnboriyhi Gmayinaam, Emmanuel Anongeba Anaba, Prince Kubi Appiah, Geoffrey Adebayo Asalu

    Published 2025-07-01
    “…An adjusted odds ratio (AOR) with a 95% confidence interval (CI) was reported to indicate the presence of statistically significant factors associated with older adults’ health literacy. Variables with p values less than 0.05 were considered significant. …”
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    Article
  14. 6354

    Prediction of Rice Chlorophyll Index (CHI) Using Nighttime Multi-Source Spectral Data by Cong Liu, Lin Wang, Xuetong Fu, Junzhe Zhang, Ran Wang, Xiaofeng Wang, Nan Chai, Longfeng Guan, Qingshan Chen, Zhongchen Zhang

    Published 2025-07-01
    “…In this study, ground truth CHI values were obtained using a SPAD-502 chlorophyll meter. …”
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    Article
  15. 6355

    Impact of Normal Lung Volume Choices on Radiation Pneumonitis Risk Prediction in Locally Non-small Cell Lung Cancer Radiation Therapy by Alyssa Gadsby, MS, Tian Liu, PhD, Robert Samstein, MD, Jiahan Zhang, PhD, Yang Lei, PhD, Kenneth E. Rosenzweig, MD, Ming Chao, PhD

    Published 2025-08-01
    “…Purpose: This study aims to evaluate the impact of varying definitions of normal lung volume on the prediction of radiation pneumonitis (RP) risk in patients with locally advanced non-small cell lung cancer undergoing radiation therapy. …”
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    Article
  16. 6356

    Enhancing landslide disaster prediction by evaluating non landslide area sampling in machine learning models for Spiti Valley India by Devraj Dhakal, Kanwarpreet Singh, Kennedy C. Onyelowe, Steven Alejandro Salazar Cazco, Abhishek Sharma, Nassir Alarifi, Fakhrul Islam, Randeep, Krishna Prakash Arunachalam, Youssef M. Youssef

    Published 2025-04-01
    “…Advanced machine learning and new sampling procedures may improve LSM accuracy and reliability in high-risk zones. This investigation aims to enhance LSM through a systematic evaluation of innovative sampling methodologies for non-landslide areas. …”
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    Article
  17. 6357

    Personality's Time Perspective as a Resource for Overcoming the Identity Crisis at Different Stages of Life Realization by E.M. Meshcheryakova, A.V. Seryy, M.S. Yanitskiy

    Published 2025-01-01
    “…Also, using regression analysis, the hypothesis was tested that the variability of the time perspective in different age groups is conditioned by indicators of stress in crisis areas of life realization. …”
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    Article
  18. 6358

    Approximation and the Multidimensional Moment Problem by Octav Olteanu

    Published 2025-01-01
    “…The aim of this paper is to apply polynomial approximation by sums of squares in several real variables to the multidimensional moment problem. …”
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    Article
  19. 6359

    INFLUENCE OF COMBINATION ANTIHYPERTENSION THERAPY ON THE PARAMETERS OF VESSEL WALL RIGIDITY IN NON-CONTROLLED ARTERIAL HYPERTENSION PATIENTS WITH DEPRESSION by V. V. Skibitsky, A. V. Skibitsky, A. V. Fendrikova

    Published 2016-04-01
    “…The following was assessed: mean daily, daytime and nighttime systolic pressure (sBP), diastolic pressure (dBP), BP variability, time index of AH, level and speed of morning BP increase, circadian index, pulse BP. …”
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    Article
  20. 6360

    Risk Factors for Pleural Reaction in CT-Guided Percutaneous Lung Nodule Localization: A Single-Center Retrospective Study by Zhou N, Feng N, Jiao Z, Shi X, Wang T, Zhao G

    Published 2025-07-01
    “…ROC curves showed Area Under the Curve (AUC) values indicating excellent discriminative ability. …”
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    Article