Showing 421 - 436 results of 436 for search '(( i (meer OR meet) decrease ) OR ( 50 ((nn decrease) OR (((mean decrease) OR (a decrease)))) ))', query time: 0.18s Refine Results
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    The Expression of TBC1 Domain Family, Member 4 (TBC1D4) in Skeletal Muscles of Insulin-Resistant Mice in Response to Sulforaphane by Rizk, Nasser M

    Published 2020
    “…Methodology: C57BL/6 mice (n=20) were fed with a high fat diet (60%) for 16 weeks to generate diet induced obese (DIO) mice with body weights between 45–50 gm. …”
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    Repositioning for pressure injury prevention in adults. by Gillespie, Brigid M

    Published 2020
    “…A pressure injury (PI), also referred to as a 'pressure ulcer', or 'bedsore', is an area of localised tissue damage caused by unrelieved pressure, friction, or shearing on any part of the body. …”
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    A systematic review on the impact of alcohol warning labels by Joyce, Kayla M.

    Published 2023
    “…The full-text review identified 77 articles meeting inclusion/exclusion criteria which are included here. …”
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  13. 433

    A New Detection Function Model for Distance Sampling Based on the Burr XII Model by Alanzi, Ayed R. A.

    Published 2023
    “…The proposed model is appealing because it meets all of the requirements for a reliable detection function model, such as being monotonically decreasing and having a shoulder at the origin. …”
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    Applying value-based strategies to accelerate access to novel cancer medications: guidance from the Oncology Health Economics Expert Panel in Qatar (Q-OHEP) by Hamad, Anas

    Published 2023
    “…Methods: The Q-OHEP convened on 30 November 2021 for a 3-hour meeting to discuss cancer management, therapeutics, and health economics in Qatar, focusing on four domains: (1) regulatory, (2) procurement, (3) treatment, and (4) patients. …”
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  16. 436

    Optimal virtual network function placement in multi-cloud service function chaining architecture by Bhamare, Deval

    Published 2017
    “…The link queues are modeled as M/D/1 (single server/Poisson arrival/deterministic service times) and server queues as M/M/1 (single server/Poisson arrival/exponential service times) based on the statistical analysis. …”
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