Showing 301 - 320 results of 589 for search 'T38 (classification)', query time: 0.07s Refine Results
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    Urolithiasis complicated by chronic obstructive pyelonephritis in patients with concomitant diseases of the cardiovascular system by R. V. Royuk, S. K. Yarovoy, R. A. Khomov

    Published 2021-12-01
    “…Cardiovascular disease (CVD) suffered from 144 (23.3 %) patients, 38 (26.4 %) of whom had CHF of varying severity. …”
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    Analysis of artery injury types and clinical characteristics of patients with transcatheter angioembolization after percutaneous nephrolithotomy by Xianghu Meng, Rong Cong, Yibo Hua, Zengjun Wang, Ninghong Song, Wei Yang, Rijin Song

    Published 2025-01-01
    “…Among the patients, 38 underwent TAE due to positive RA results. Clinical data on the TAE patients, such as gender, age, body mass index, TAE interval, hemoglobin (Hb) decrease, operation time, stone size, the number and size of tracts, and clinical bleeding type, were summarized. …”
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    Comparison of European Standard Patch Test Results of 330 Patients from an Occupational Diseases Hospital by Özge Gündüz, Aslı Aytekin, Engin Tutkun, Hınç Yılmaz

    Published 2016-01-01
    “…The study included 330 patients referred to our clinic between April 2009 and April 2011 and who were patch-tested with 28-allergen European Standard Test. Results. 126 (38%) patients were female and 204 (62%) were male with a mean age of 36.12 (±13.13) years. …”
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    Comparative study of soft neurological signs in patients of schizophrenia and bipolar disorder at a tertiary care center by Ravi Kishore Sadula, Aparna Meda, Sudharani Kesavareddy, Umashankar Molanguri

    Published 2024-12-01
    “…On CNI part 2 of mean scores of schizophrenia and bipolar disorder are 47.05 and 38.05, respectively, t value is 6.685 (P < 0.001) On CNI part 3, mean scores of schizophrenia and bipolar disorder are 44.68 and 58.25, respectively, t value is 6.235 (P < 0.001). …”
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    MSSA: multi-stage semantic-aware neural network for binary code similarity detection by Bangrui Wan, Jianjun Zhou, Ying Wang, Feng Chen, Ying Qian

    Published 2025-01-01
    “…MSSA is a lightweight model with only 0.38M parameters in its backbone network, suitable for deployment in CPU environments. …”
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