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  1. 14901

    Prediction of in-hospital mortality in patients with ST-segment elevation acute myocardial infarction after percutaneous coronary intervention by B. I. Geltser, K. I. Shahgeldyan, I. G. Domzhalov, N. S. Kuksin, E. A. Kokarev, V. N. Kotelnikov, V. Yu. Rublev

    Published 2023-07-01
    “…Statistical analysis made it possible to identify factors that are linearly associated with IHM. ULR was used to determine their weight coefficients characterizing the predictive potential. …”
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    Article
  2. 14902

    How Accurately Does Bone Mineral Density Predict Bone Strength? A Clinical Observational Study of Osteoporosis Vertebral Compression Fractures in Postmenopausal Women by Xuemeng Mu, Hengyan Zhang, Jia Zhang

    Published 2025-04-01
    “…Methods This observational study included postmenopausal women (aged over 50 years) who underwent unilateral percutaneous kyphoplasty (PKP) surgery in the lumbar spine between September 2021 and June 2023. …”
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  3. 14903

    The impact of central sensitization on perioperative pain in TKA: a retrospective cohort study by Tatsuru Sonobe, Takuya Nikaido, Miho Sekiguchi, Yoichi Kaneuchi, Tadashi Kikuchi, Yoshihiro Matsumoto

    Published 2025-03-01
    “…Methods A retrospective cohort study of 66 patients who underwent bilateral TKA for bilateral severe KOA was conducted. …”
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  4. 14904

    Radar Sensor Data Fitting for Accurate Linear Sprint Modelling by Daniel Geneau, Patrick Cormier, Ming-Chang Tsai, Dana Agar-Newman, Seth Lenetsky, Marc Klimstra

    Published 2024-11-01
    “…This study evaluated five different modelling approaches, including three established methods, a third-degree polynomial, and a sigmoid function, assessing their goodness-of-fit through the root mean square error (RMSE) and coefficient of determination (r<sup>2</sup>). …”
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  5. 14905

    Combined approach to strategic analysis of the financial condition of organizations by E. V. Berezhnaya, A. V. Savtsova, N. V. Zelensky

    Published 2025-01-01
    “…The paper develops a combined approach to the strategic analysis of the financial condition of organizations and their positioning using financial coefficients and matrices.Materials and methods. The information base of the study included statistical materials from the SPARK database, financial statements of companies manufacturing chemical products in two types of activities. …”
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  6. 14906

    Construction and validation of a machine learning-based nomogram model for predicting pneumonia risk in patients with catatonia: a retrospective observational study by Yi-chao Wang, Qian He, Yue-jing Wu, Li Zhang, Sha Wu, Xiao-jia Fang, Shao-shen Jia, Fu-gang Luo

    Published 2025-03-01
    “…This study aimed to develop a Nomogram Model based on pre-admission characteristics of patients with catatonia to predict the risk of pneumonia after admission.MethodsThis retrospective observational study reviewed catatonia patients hospitalized at Hangzhou Seventh People’s Hospital from September 2019 to November 2024. …”
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  7. 14907

    Activity of matrix metalloproteinases and their tissue inhibitors in serum in chronic granulating periodontitis by D. I. Haidash, I. S. Haidash, O. О. Bondar, Yu. О. Yevtushenko, O. I. Haidash

    Published 2019-12-01
    “…The aim of the work is to study the activity of matrix metalloproteinases and their tissue inhibitors in chronic granular periodontitis. Materials and methods. We examined serum of 15 patients with chronic granulating periodontitis and 15 healthy male blood donors aged 32 to 37 years. …”
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  8. 14908

    Left atrial function in uraemic patients: Four‐dimensional automatic left atrial quantitative technology study by Bing Li, Meihua Chen, Xuning Huang

    Published 2025-04-01
    “…Abstract Objective This study aimed to evaluate the utility of left atrial volume and function in uraemic patients using four‐dimensional automatic left atrial quantification (4D auto LAQ) technology. Methods Thirty‐four undialysed uraemic patients (U‐ND group), 60 dialysed uraemic patients (U‐D group), and 32 healthy volunteers (N group) were enrolled in our current study. …”
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  9. 14909

    Simulation of snow accumulation and melting in the Kama river basin using data from global prognostic models by S. V. Pyankov, A. N. Shikhov, P. G. Mikhaylyukova

    Published 2019-12-01
    “…The calculation of snow accumulation and melting was based on empirical methods and performed with the GIS technologies. The degree-day factor was used to calculate snowmelt intensity, and snow sublimation was estimated by P.P. …”
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  10. 14910

    Socio-demographic and attitudinal factors influencing household fruit and vegetable purchasing frequency in Eastern Türkiye by Omer Yalvac, Nurhan Keskin, Mustafa Terin, Hanifeh Seyed Hajizadeh, Ozkan Kaya

    Published 2025-06-01
    “…To further analyze the determinants of purchasing frequency, an ordered probit model was utilized. …”
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  11. 14911

    Changes in Serum Concentrations of Bone Turnover Markers in Healthy Pregnant Women by Yiduo Zhang, Ruiying Li, Jing Zhang, Wenjie Zhou, Fan Yu

    Published 2023-01-01
    “…Methods. We surveyed 120 low-risk pregnant women attending routine antenatal care from January 2020 to March 2020. …”
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  12. 14912

    Impact of climatic factors on the occurrence of malaria in hyper, high, moderate and low endemic States in India from 1995 to 2023 by Muniaraj Mayilsamy, Rajagopal Parthasarathy, Rajamannar Veeramanoharan, Paramasivan Rajaiah

    Published 2025-04-01
    “…Therefore, the impact of the annual average of climatic factors on the annual parasite index (API) in hyper-, high-, moderate-, and low-endemic states was analysed. Methods The annual malaria data provided by the National Center for Vector Borne Diseases Control, and meteorological data provided by the India Meteorological Department, Pune, and Statista, were used to make temporal trend analysis, scatter plot analysis, clustered scatter plot analysis, and Spearman & Pearson correlation coefficient to determine the impact of climatic factors on the occurrence of malaria in hyper, high, moderate and low endemic States in India. …”
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  13. 14913

    Factors associated with knowledge, beliefs, and practices related to perinatal depression screening among rural maternal and child health workers: a multi-center cross-sectional st... by Hongjuan Wang, Fan Xu, Rongzhi Li, Ting Pan, Siyuan Tang, Mei Sun

    Published 2025-07-01
    “…Methods A cross-sectional, multi-center study was conducted among 394 rural MCH workers (86.98% response rate) from 115 townships in Hunan province, China. …”
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  14. 14914

    MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction by Dhekra Saeed, Huanlai Xing, Barakat AlBadani, Li Feng, Raeed Al-Sabri, Monir Abdullah, Amir Rehman

    Published 2025-01-01
    “…Traditional prediction methods relying on demographic and genetic data often fall short in accuracy and robustness. …”
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  15. 14915
  16. 14916

    A novel spatiotemporal fractal dimension (STFD) for assessing ecological environment of the large-scale Yangtze River Basin China from 2012 to 2021 remote sensing data by Chang Li, Jiao Guo, Yongjun Zhang

    Published 2025-12-01
    “…This indicates an overall trend toward improvement of the EEA in Yangtze River basin; (3) The scale-free interval of STFD ranges from 6.21 to 9.21 with a buffer distance of 500 m to 10,000 m. The coefficients of determination R2 are all greater than 0.97, indicating high accuracy and reliability of the fractal dimension. …”
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  17. 14917

    Lessons Learned from the COVID-19 Pandemic: Simulation of the Tuberculosis Epidemic as a Function of Population Coverage with Screening by A. A. Starshinova, I. F. Dovgalyuk, N. N. Osipov, D. A. Kudlay

    Published 2023-12-01
    “…A simple mathematical model describing the dependence of incidence and sputum smear-positive tuberculosis in the current year on sputum smear-positive tuberculosis in the past year and population coverage with preventive screening in the current and past years was built up. The adjusted coefficient of determination of the model (adjusted R-squared) was 0.9969, which meant that the model contained almost no random components. …”
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  18. 14918
  19. 14919

    THE RELATIONSHIP BETWEEN SELF-CARE AGENCY AND MEDICATION ADHERENCE IN TUBERCULOSIS PATIENTS by Iswatun Iswatun, Endah Sri Wijayanti, Joko Susanto, Khotibul Umam, Rindayati Rindayati

    Published 2025-05-01
    “…Methods: This study utilized a quantitative correlational design with a cross-sectional approach. …”
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  20. 14920

    Association between Iron deficiency and hypothyroxinemia in first-trimester pregnant women: A study from a tertiary care hospital by Savitha Vijayakumar, B Madhu, M. Mounika Sree, Mahesh Mahadevaiah, H Basavanagowdappa

    Published 2024-08-01
    “…Aims: To evaluate the association between hypothyroidism, hypotriiodothyroninemia and ID in pregnant women. Materials and Methods: This cross-sectional study was conducted between January 2017 and June 2019 at JSS Hospital, a Tertiary Care Teaching and Research Hospital attached to JSS Medical College in Mysuru City, South India. …”
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