يعرض 161 - 180 نتائج من 755 نتيجة بحث عن '(( 50 ((ms decrease) OR (a decrease)) ) OR ((( a step decrease ) OR ( i e decrease ))))*', وقت الاستعلام: 0.23s تنقيح النتائج
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    Anticoagulant activity of cellulose nanocrystals from isora plant fibers assembled on cellulose and sio2 substrates via a layer-by-layer approach حسب Mohan T.

    منشور في 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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  11. 171

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

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

    منشور في 2019
    "…Unfortunately, breakthroughs in relevant technologies are hindered by the lack of open source databases for drone's Radio Frequency (RF) signals, which are remotely sensed and stored to enable developing the most effective way for detecting and identifying these drones. This paper presents a stepping stone initiative towards the goal of building a database for the RF signals of various drones under different flight modes. …"
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    RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database حسب Al-Sa'd M.F.

    منشور في 2019
    "…Unfortunately, breakthroughs in relevant technologies are hindered by the lack of open source databases for drone's Radio Frequency (RF) signals, which are remotely sensed and stored to enable developing the most effective way for detecting and identifying these drones. This paper presents a stepping stone initiative towards the goal of building a database for the RF signals of various drones under different flight modes. …"
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