Showing 741 - 760 results of 5,443 for search 'Cenei~', query time: 4.05s Refine Results
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    Site-designed dual-active-center catalysts for co-catalysis in advanced oxidation processes by Wenxin Sun, Guoshuai Liu, Hua Zou, Shaobin Wang, Xiaoguang Duan

    Published 2025-01-01
    “…Recently, dual-active-center catalysts have emerged as a solution by enabling synergistic reactions. …”
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  4. 744

    Prevalence and predictive factors of testosterone-induced erythrocytosis: a retrospective single center study by Anina Neidhart, Viktor von Wyl, Viktor von Wyl, Benno Käslin, Christoph Henzen, Stefan Fischli

    Published 2025-01-01
    “…AimThis study analyzes the prevalence and predictive factors of testosterone-induced erythrocytosis (TIE) in patients receiving testosterone replacement therapy (TRT).MethodsRetrospective single-center observational study.Results247 patients were included; median age was 47.0 years (interquartile range (IQR) 32-60) and median follow-up years 2.9 (1.0-5.5). …”
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  5. 745

    Diagnostic Utility of Squash Smear Cytology in Chordoma: A Tertiary Care Center Experience by Anshima Singh, Ram Nawal Rao

    Published 2024-12-01
    “…Materials and Methods: This retrospective study conducted in a North Indian tertiary care center enrolled chordoma cases histopathologically diagnosed between 01.01.2013 and 31.07.2023, for which SSC was also performed. …”
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  6. 746

    STRATEGIC PERSPECTIVE: USTU AS A CENTER OF INNOVATIVE, TECHNOLOGICAL, AND SOCIAL DEVELOPMENT OF THE KOMI REPUBLIC by N. D. Tskhadaya

    Published 2017-04-01
    “…The article reveals the potential of the Ukhta State Technical University as a center of innovative technological and social development of the region. …”
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    Postoperative infection after cranioplasty in traumatic brain injury: a single center experience by Mahnjeong Ha, Jung Hwan Lee, Hyuk Jin Choi, Byung Chul Kim, Seunghan Yu

    Published 2022-12-01
    “…Methods Data of 289 adult patients who underwent cranioplasty after TBI at a single regional trauma center between year 2018 and 2021 were reviewed retrospectively. …”
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    MammaPrint Feasibility in a Large Tertiary Urban Medical Center: An Initial Experience by C. Francisco Espinel, Shaughn Keating, Hanina Hibshoosh, Bret Taback, Kathie-Ann Joseph, Mahmoud El-Tamer, Sheldon Feldman

    Published 2012-01-01
    “…The MammaPrint (MP) diagnostic assay stratifies breast cancer patients into high- and low-risk groups using mRNA analysis of a 70-gene profile. The assay is validated for assessment of patients with estrogen receptor positive or negative tumors less than 5 cm with 3 or fewer malignant lymph nodes. …”
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    The research of expectations and perceptions of Individuals towards service quality that are coming to sports center continually by Adnan Ersoy, Sihmehmet Yıgıt

    Published 2014-06-01
    “…The aim of the research is to explore the expectations and pleasure of members who are coming to sports center continually. The universe of the research and the samples of forming sport centers is made up by the total (n=259) of members who are coming to sports center continually in the city of Gaziantep. …”
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    Direction-Specific Signatures of Sport Participation in Center of Pressure Profiles of Division I Athletes by Stephen M. Glass, Scott E. Ross

    Published 2021-10-01
    “… # Purpose The purpose of this study was to quantify the effects of sport-specific training history on directional profiles of center of pressure (COP) displacement and velocity among collegiate athletes…”
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  20. 760

    Synthetic spoofing speech detection method based on center-symmetric local binary pattern by Jia XU, Zhihua JIAN, Honghui JIN, Chao WU, Lin YOU, Yingxiao WU

    Published 2023-01-01
    “…In view of the fact that the local binary pattern (LBP) based speech spoofing detection method has low detection accuracy when detecting synthetic speech, a spoofing speech detection method based on center-symmetric local binary pattern (CSLBP) was proposed.In this method, the spectrogram of the speech signal was obtained through short-time Fourier transform (STFT), and then the texture feature was extracted from the spectrogram using the CSLBP.The random forest classifier was trained by the extracted texture feature to realize the discrimination of genuine and spoofing speech.The CSLBP-based method comprehensively considered the value and position relationship of pixels in the spectrogram so as to contain more texture information, and reduced the feature dimension to 16 beneficial to decrease the amount of computation.Experimental results on the ASVspoof 2019 dataset show that, compared with the LBP-based spoofing detection method, the proposed method reduced the tandem detection cost function (t-DCF) of synthetic spoofing speech by 16.98% and increased the detection speed by 89.73%.…”
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