Showing 281 - 300 results of 1,243 for search '(( 50 ((nn decrease) OR (a decrease)) ) OR ((( 10 11 decrease ) OR ( a system decrease ))))*', query time: 0.21s Refine Results
  1. 281
  2. 282

    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 hybrid piezoelectric-electromagnetic harvester combines the two electromechanical transduction mechanisms through the bluff body excited by VIV: piezoelectric macro-fiber composite and an electromagnetic system. The piezoelectric composite is glued to a substrate beam to convert mechanical strain into electricity. …”
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  3. 283

    High flow nasal oxygen (HFNO) in the treatment of COVID-19 infection of adult patients from – An emergency perspective: A systematic review and meta-analysis by Nabil, Shallik

    Published 2023
    “…HFNO was associated with a significant decrease in mortality and intubation rates (0.28 (95% CI; 0.19, 0.39) and 0.28 (95% CI; 0.18, 0.41), respectively). …”
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  4. 284

    High flow nasal oxygen (HFNO) in the treatment of COVID-19 infection of adult patients from – An emergency perspective: A systematic review and meta-analysis by Nabil, Shallik

    Published 2023
    “…HFNO was associated with a significant decrease in mortality and intubation rates (0.28 (95% CI; 0.19, 0.39) and 0.28 (95% CI; 0.18, 0.41), respectively). …”
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    article
  5. 285

    Effective capacity of cognitive radio links: Accessing primary feedback erroneously by Butt M.M.

    Published 2014
    “…We study the performance of a cognitive system modeled by one secondary and one primary link and operating under statistical quality of service (QoS) delay constraints. …”
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    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. 290

    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. 291

    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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  12. 292

    Performance assessment of renewable energy-fed three-phase grid-connected voltage source converters and boost inverters during DC side faults by Elserougi, A.

    Published 2013
    “…The simulation results elucidate a significant decrease in the DC fault current in case of boost inverter due to its blocking capability.…”
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  14. 294

    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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  15. 295

    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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  16. 296

    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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    article
  17. 297

    Long-term performance analysis and power prediction of PV technology in the State of Qatar by Touati F.

    Published 2017
    “…This research aims to investigate PV performance for two years in the harsh environment of Qatar. For data collection, a wireless system has been developed to record critical parameters such as solar irradiance, relative humidity, ambient temperature, PV module temperature, dust, wind speed, and output PV power. …”
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  18. 298

    Impact of fines type on gas flow using 3D micro-computed tomography by Al-Raoush, Riyadh

    Published 2019
    “…Therefore, there is a need to model and quantify fines impact on multi-phase flow using 3D reconstruction to better understand gas recovery systems. …”
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  19. 299

    Analysis of bioconvection and oxytactic microorganisms in a porous cavity with nano-enhanced phase change materials and quadrant heater: Application of support vector regression ba... by Hussain, Shafqat

    Published 2023
    “…The Galerkin finite element method (GFEM) is employed to compute the governing equations for the considered system by developing a computer code. The study is performed for wide range of parameters as aspect ratio, Darcy number, Hartmann number, nanoparticle fraction, bioconvection Rayleigh number and natural convection Rayleigh number were tested. …”
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