Showing 181 - 200 results of 599 for search '(( 50 ((mean decrease) OR (a decrease)) ) OR ((( a systematic decrease ) OR ( a mean decrease ))))*', query time: 0.34s Refine Results
  1. 181

    The Effect of Visual Impairment and Its Severity on Vision-Related and Health-Related Quality of Life in Jordan: A Comparative Cross-Sectional Study by Jammal, Hisham M.

    Published 2023
    “…Ocular disease duration of >5 years and progressive VI were significantly associated with lower VFQ-25 composite scores (p= 0.026 and p<0.001) respectively, in patients with VI. Glaucoma had a significantly larger reduction in mean scores of all the VFQ-25 subscales, and the PCS of the SF-12 compared to all other ocular diseases. …”
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  2. 182

    High-intensity exercise training does not influence body weight but improves lipid oxidation in obese adults: A 6-week RCT by Jabbour, Georges

    Published 2017
    “…The percentage of LO contribution was computed at rest and for all workloads (25, 50, 75, 100 and 125 W) in both groups before and after training via a graded maximal cycling test. …”
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  3. 183
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  5. 185

    A robust experimental-based artificial neural network approach for photovoltaic maximum power point identification considering electrical, thermal and meteorological impact by Gowid, Samer

    Published 2020
    “…Nonetheless, the consideration of irradiance, electrical, thermal, and weather parameters (scenario IV) yielded higher identification accuracy. The results showed a decrease in the MSE of Vmp by 74.3% (from 1.6 V to 0.411 V), and in the MSE of Imp by 95% (from 4.4e−6 A to 2.16e−7 A), respectively. …”
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  9. 189

    RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database by Al-Sa'd, Mohammad F.

    Published 2019
    “…Three deep neural networks (DNN) are used to detect the presence of a drone, the presence of a drone and its type, and lastly, the presence of a drone, its type, and flight mode. …”
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  10. 190

    RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database by Al-Sa'd M.F.

    Published 2019
    “…Three deep neural networks (DNN) are used to detect the presence of a drone, the presence of a drone and its type, and lastly, the presence of a drone, its type, and flight mode. …”
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  11. 191

    A hybrid piezoelectric-electromagnetic energy harvester from vortex-induced vibrations in fluid-flow; the influence of boundary condition in tuning the harvester by Muthalif, Asan G.A

    Published 2022
    “…The results show that fully submerging the energy harvester increases the overall added mass, whilst confining it inside a submerged pipe adds stiffness and damping. This means the overall energy harvesting performance decreases with submerging depth and proximity to the boundary. …”
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  12. 192
  13. 193

    A quantitative three-dimensional comparative study of alveolar bone changes and apical root resorption between clear aligners and fixed orthodontic appliances. by Almagrami, Ibtehal

    Published 2023
    “…CA and FA treatments appear to cause a significant ABT reduction and a statistically significant increased OIIRR in the maxillary incisor region, with a greater extent expected with FA treatment. …”
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  14. 194

    Anticoagulant activity of cellulose nanocrystals from isora plant fibers assembled on cellulose and sio2 substrates via a layer-by-layer approach by Mohan T.

    Published 2021
    “…The multi-layered structure, adsorbed mass, conformational changes, and anticoagulant activity of sequen-tially deposited anionic (sulfated) CNCs and cationic polyethyleneimine (PEI) on the surfaces of cellulose and SiO2 by LBL deposition were investigated using a quartz crystal microbalance tech-nique. The organization and surface features (i.e., morphology, thickness, wettability) of CNCs ad-sorbed on the surfaces of PEI deposited at different ionic strengths (50-300 mM) of sodium chloride were analysed in detail by profilometry layer-thickness, atomic force microscopy and contact angle measurements. …”
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  15. 195

    Numerical and experimental investigation on corrugation geometry for metallic tubes under lateral loading by Eyvazian A.

    Published 2018
    “…Our results showed that using vertical elliptical corrugation decrease the densification point. Moreover, there is a gradual enhancement of mean crushing load by moving from the horizontal elliptical corrugations to the vertical ones. …”
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  16. 196

    Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants by Bin, Zhou

    Published 2017
    “…MethodsFor this analysis, we pooled national, subnational, or community population-based studies that had measured blood pressure in adults aged 18 years and older. We used a Bayesian hierarchical model to estimate trends from 1975 to 2015 in mean systolic and mean diastolic blood pressure, and the prevalence of raised blood pressure for 200 countries. …”
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  17. 197

    Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants by Bin, Zhou

    Published 2017
    “…MethodsFor this analysis, we pooled national, subnational, or community population-based studies that had measured blood pressure in adults aged 18 years and older. We used a Bayesian hierarchical model to estimate trends from 1975 to 2015 in mean systolic and mean diastolic blood pressure, and the prevalence of raised blood pressure for 200 countries. …”
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    Accelerated weathering effects on poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) and PHBV/TiO2 nanocomposites by Antunes, A.

    Published 2020
    “…It also slowed down the decrease in mechanical properties. The mechanical properties were shown to gradually decrease for the PHBV/TiO2 nanocomposites, whereas a sharp drop was observed for the neat PHBV after an accelerated weathering exposure. …”
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  20. 200

    Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021 by Natalia V, Bhattacharjee

    Published 2024
    “…To capture time-series trends in CCF50 not explained by these covariates, we used a first-order autoregressive model on the residual term. …”
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