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  1. 21681

    Development and Validation of an Interpretable Machine Learning Model for Prediction of the Risk of Clinically Ineffective Reperfusion in Patients Following Thrombectomy for Ischem... by Hu X, Qi D, Li S, Ye S, Chen Y, Cao W, Du M, Zheng T, Li P, Fang Y

    Published 2025-05-01
    “…This study aimed to investigate the factors contributing to clinically ineffective reperfusion (CIR), develop and validate a machine-learning model to predict CIR, and provide guidance for future clinical treatments.Methods: We collected data from patients undergoing thrombectomy at Shanghai Fourth People’s Hospital between December 2021 and June 2024. …”
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  2. 21682

    Recommendations for Designing a Digital Health Tool for Blindness Prevention Among High-Risk Diabetic Retinopathy Patients: Qualitative Focus Group Study of Adults With Diabetes by Akua Frimpong, Alvaro Granados, Thomas Chang, Julia Fu, Shannan G Moore, Serina Applebaum, Bolatito Adepoju, Mahima Kaur, Vignesh Hari Krishnan, Amanda Levi, Terika McCall, Kristen Harris Nwanyanwu

    Published 2025-06-01
    “…Household income levels across nearly all participants (14/19, 74%) were below US $50,000, but household size data were not collected. Participants reported extensive experience with diabetes or prediabetes (mean years with diabetes or prediabetes 17.06, SD 17.53). …”
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  3. 21683

    International society of sports nutrition position stand: β-hydroxy-β-methylbutyrate (HMB) by John A. Rathmacher, Lisa M. Pitchford, Jeffrey R. Stout, Jeremy R. Townsend, Ralf Jäger, Richard B. Kreider, Bill I. Campbell, Chad M. Kerksick, Patrick S. Harty, Darren G. Candow, Brandon M. Roberts, Shawn M. Arent, Douglas S. Kalman, Jose Antonio

    Published 2025-12-01
    “…Position Statement: The International Society of Sports Nutrition (ISSN) bases the following position stand on an analysis of the literature regarding the effects of β-Hydroxy-β-Methylbutyrate (HMB). …”
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  4. 21684

    Matrix metalloproteinases and heat shock proteins on extracellular vesicles in colorectal cancer patients: association with metabolic status by N. V. Yunusova, D. A. Svarovsky, E. E. Dandarova, D. N. Kostromitsky, A. A. Dimcha, O. V. Cheremisina, S. G. Afanasiev, A. I. Konovalov, Z. A. Startseva, I. V. Kondakova, M. R. Patysheva, A. E. Grigor'eva, L. V. Spirina

    Published 2022-10-01
    “…However, taking into account the lack of data in the literature on the level of MMPs and HSPs expression in the composition of the total pool of EVs and in the composition of FABP4-positive EVs in patients with PTC and CRC patients, the aim of the work was formulated.Aim. …”
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  5. 21685

    Marine organic aerosol at Mace Head: effects from phytoplankton and source region variability by E. Chevassus, K. N. Fossum, D. Ceburnis, L. Lei, C. Lin, C. Lin, W. Xu, W. Xu, C. O'Dowd, J. Ovadnevaite

    Published 2025-04-01
    “…<p>Organic aerosol (OA) is recognized as a significant component of particulate matter (PM), yet their specific composition and sources, especially over remote areas, remain elusive due to the overall scarcity of high-resolution online data. …”
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  6. 21686
  7. 21687
  8. 21688
  9. 21689
  10. 21690

    PROPERTIES OF NEW SALTS OF 2-(5-(ADAMANTANE-1-YL)-4-R-1,2,4-TRIAZOLE-3-YLTIO)ACETIC ACIDS IN THE GLUCOSE TOLERANCE TEST by V. M. Odyntsova, Ye. S. Pruhlo, O. I. Panasenko, Ye. H. Knysh

    Published 2015-04-01
    “…The research results have been processed by modern statistical methods of analysis on a personal computer using a standard software package Microsoft Office 2010 (Microsoft Excel) and «STATISTICA® for Windows 6.0». …”
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  11. 21691
  12. 21692
  13. 21693
  14. 21694

    Radiological and Inflammatory Markers Predicting the Spontaneous Transit of Mid and Lower Ureteric Stones: A Prospective Observational Study by Souvik Chatterjee, Indra Prakash Mandal, Debansu Sarkar

    Published 2025-02-01
    “…Among them, four patients were lost to follow-up and another two patients had to be excluded as they developed urosepsis with acute pyelonephritis. Hence, data was collected from 102 patients. Stone identification was done using X-ray Kidney Ureter Bladder (KUB), Ultrasonography (USG) KUB and Non Contrast Computed Tomography (NCCT) KUB. …”
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  15. 21695
  16. 21696

    Review of Research on Foundation Scour of River-Crossing Bridges by WANG Lu, LIU Hong-wei, WEI Kai, Bruce Melville, NIE Rui-hua

    Published 2025-07-01
    “…Sediment transport is frequently computed using empirical formulas, and dynamic grid technologies often suffer from low precision. …”
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  17. 21697
  18. 21698

    Medical exposure of patients from diagnostic X-ray examinations performed in medical organizations of the Russian Federation in 2022 by A. A. Bratilova, A. N. Barkovsky

    Published 2023-12-01
    “…The paper presents results of analysis of information on doses from medical exposure of the public in the Russian Federation in 2022, submitted via Federal Statistical Surveillance Form No. 3-DOZ “Information on doses to patients from medical X-ray examinations” to the Federal Databank on medical exposure doses, which operates on the base of Institute of Radiation Hygiene after P.V. …”
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  19. 21699

    MODERN PECULIARITIES OF THE MEDICAL EXPOSURE LEVELS FORMING OF THE TATARSTAN REPUBLIC POPULATION DURING X-RAY PROCEDURES IMPLEMENTATION by S. A. Ryzhkin, S. I. Ivanov, M. A. Patjashina, R. K. Ismagilov, N. A. Akopova, S. V. Loginova, D. R. Nasybullin

    Published 2015-08-01
    “…The purpose of the investigation is an assessment of the peculiarities of forming and registration of the collective doses of patients and the population of the Tatarsatan Republic (RT) from medical exposure and the development of measures for optimization of this radiation factor.Materials and methods. The analysis is based on the forms of the Federal statistical observation № 3-DOZ «Data on the exposure doses to patients obtained during medical radiological examination» (form № 3-DOZ) and radiation-hygienic passports of RT for the period from 2006 to 2013.The results. …”
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  20. 21700

    PULMONARY-RENAL SYNDROME: DIFFICULTIES OF DIFFERENTIAL DIAGNOSIS by D. Yu. Andriyashkina, N. A. Demidova, N. A. Shostak, N. A. Tutaev, A. D. Ershov, D. K. Dudin

    Published 2018-11-01
    “…Anemia (hemoglobin – 53 g/l, erythrocytes – 1.85 × 1012/l, serum iron – 3.1 µmol/l), elevated urea up to 41.4 mmol/l, creatinine up to 843.1 µmol/l (glomerular filtration rate – 6 ml/min/1.73 m2), leukocytes up to 12.5 × 109/l, С-reactive protein up to 124.96 mg/l were diagnosed. Clinical urine analysis showed proteinuria 0.47 g/l. Computed tomography of the chest revealed pronounced infiltrative changes in tissues of both lungs, more on the right, alveolitis, bronchiolitis in the middle lobe on the right, 5th segment on the left. …”
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