Showing 1 - 20 results of 495 for search '(( 59 ((a decrease) OR (_ decrease)) ) OR ((( 2 mean decrease ) OR ( _ 2018 decrease ))))*', query time: 0.22s Refine Results
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    Maximum Likelihood Estimation in the Inverse Weibull Distribution with Type II Censored Data by Alshaikh, Fatima A.

    Published 2022
    “…We consider maximum likelihood estimation for the parameters and certain functions of the parameters in the Inverse Weibull (IW) distribution based on type II censored data. The functions under consideration are the Mean Residual Life (MRL), which is very important in reliability studies, and Tail Value at Risk (TVaR), which is an important measure of risk in actuarial studies. …”
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    Global Consumption Trend of Antifungal Agents in Humans From 2008 to 2018: Data From 65 Middle- and High-Income Countries by Pathadka, Swathi

    Published 2022
    “…Methods: Using pharmaceutical sales data from the IQVIA-multinational integrated data analysis system database, we assessed use of systemic antifungal agents in humans in 27 middle- and 38 high-income countries from 2008 through 2018. Results: Consumption of systemic antifungal agents increased from 0.50 (in 2008) to 0.92 defined daily dose (DDD)/1000 inhabitants/day (in 2018), with a compound annual growth rate of 6.2%. …”
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    Computational approach to unravel the impact of missense mutations of proteins (D2HGDH and IDH2) causing D-2-hydroxyglutaric aciduria 2. by Thirumal Kumar, D

    Published 2018
    “…It is classified into three categories: D-2-HGA, L-2-HGA, and combined D,L-2-HGA. The D-2-HGA includes two subtypes: type I and type II caused by the mutations in D2HGDH and IDH2 proteins, respectively. …”
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    Association of Macronutrients Intake with Body Composition and Sarcopenic Obesity in Children and Adolescents: A Population-Based Analysis of the National Health and Nutrition Exam... by Yang, Bing

    Published 2023
    “…The study utilized data from 5412 participants aged 6–17 years who attended NHANES between 2011 and 2018. Body composition was assessed using DXA, and nutrient intake was based on 24-h recall. …”
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    Correlated decay of triplet excitations in the shastry-sutherland compound SrCu2 (BO3)2 by Zayed, M.E.

    Published 2014
    “…The temperature dependence of the gapped triplet excitations (triplons) in the 2D Shastry-Sutherland quantum magnet SrCu2(BO3)2 is studied by means of inelastic neutron scattering. …”
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    Understanding the mechanisms mediating cardio-renal benefit of empagliflozin in type 2 diabetes mellitus by Dimitrios, Patoulias

    Published 2023
    “…They have demonstrated1 that empagliflozin treatment resulted in a significant decrease in pulse pressure (PP), mean arterial pressure (MAP) and cardiac workload, compared with placebo; at week 12, placebo-adjusted mean changes from baseline were − 2.5 mmHg for PP, − 2.2 mmHg for MAP and − 315 mmHg x beats per minute (bpm) for cardiac workload (p < 0.0001 for all). …”
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    The influence of environmental and core temperature on cyclooxygenase and PGE2 in healthy humans by Esh, Christopher J.

    Published 2021
    “…Random coefficient models determined relationships between Tc and COX/PGE2. Tc [mean (range)] increased in hot [+ 0.8 (0.4–1.2) °C; p < 0.0001; effect size (ES): 2.9], decreased in cold [− 0.5 (− 0.8 to − 0.2) °C; p < 0.0001; ES 2.6] and was unchanged in thermoneutral [+ 0.1 (− 0.2 to 0.4) °C; p = 0.3502]. …”
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    Molecular dynamics of CH4/CO2 on calcite for enhancing gas recovery by Carchini, Giuliano

    Published 2022
    “…Radial distribution function (RDF) analysis reveals two distinct peaks for CO2 (0.36 and 0.47 nm) and two for methane (0.87 and 0.57 nm) and the intensities of these peaks tend to decrease with increasing temperature. …”
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    Impact of SARS-CoV-2 on Ambient Air Quality in Northwest China (NWC) by Zaib, Shah

    Published 2021
    “…The PM2.5 failed to comply in SN and XJ; PM10 failed to comply in SN, XJ, and NX with CAAQS Grade II standards (35 µg/m3, 70 µg/m3, annual mean). …”
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    Fabrication of Selective Sensors for Hg2+ Traces in Water Using Graphene Decorated with Metal Nanoclusters by Ayesh, Ahmad I.

    Published 2016
    “…The sensing mechanism of the graphene-based sensors can be summarized as follows: exposure of the graphene sensor to Hg2+ ions decreases electron concentration in the n-type graphene, thus, the conductance of the sensor decreases. …”
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