Showing 121 - 140 results of 529 for search '(( 50 ((mean decrease) OR (a decrease)) ) OR ((( a step decrease ) OR ( 2 mg decrease ))))*', query time: 0.24s Refine Results
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    Solar-driven hydrogen production from a water-splitting cycle based on carbon-TiO2 nano-tubes by Almomani F.

    Published 2022
    “…The S-DPOH achieved a cumulative production of hydrogen (CPOH) during 50 h of solar irradiation of 43.75 mmol at a rate RPOH?…”
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    Study of diesel-biodiesel blends combustion and emission characteristics in a CI engine by adding nanoparticles of Mn (II) supramolecular complex by Elkelawy, M.

    Published 2020
    “…The supramolecular complex (SC1) [Mn(EIN)4(NCS)2] was synthesized and characterized as a new nanosized emulsion additive to improve the fuel incineration and emission formation behavior of a diesel-biodiesel blends-fueled CI engine. …”
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    The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019 by Khanh Bao, Tran

    Published 2022
    “…MethodsThe GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk–outcome pairs were included on the basis of the World Cancer Research Fund criteria. …”
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  12. 132

    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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    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
    “…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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  19. 139

    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
    “…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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