Showing 821 - 840 results of 1,768 for search '(( 50 points decrease ) OR ( 10 ((((we decrease) OR (mean decrease))) OR (a decrease)) ))', query time: 0.24s Refine Results
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    Driver Drowsiness Detection Study using Heart Rate Variability analysis in Virtual Reality Environment by Chowdhury, Muhammad E.H.

    Published 2018
    “…As it can be seen from Fig. 4, there is a significant difference in the LF/HF ratios, as it decreased drastically from 4.164 (Fig. 4A) when subject was awake to 1.355 (Fig. 4B) when subject was drowsy. …”
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    Morphology and property changes in PLA/PHBV blends as function of blend composition by Kanda G.S.

    Published 2018
    “…A weak negative deviation in the mean size for low PHBV content possibly indicates some degree of partial miscibility. …”
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    Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills by Abbas, Tariq

    Published 2025
    “…ObjectiveTo objectively evaluate technical skill acquisition in hypospadias repair procedures during surgical training using noninvasive wearable sensor technology. MethodsWe combined subjective video evaluations with objective electromyography (EMG) measurements in a hands-on hypospadias training course. …”
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    Impact of SARS-CoV-2 on Ambient Air Quality in Northwest China (NWC) by Zaib, Shah

    Published 2021
    “…The proportion of air quality Class I improved by 32.14%, and the number of days with PM2.5, SO2, and NO2 as primary pollutants decreased while they increased for PM10, CO, and O3 in 2020. …”
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    The Impact of Multiple Autoclave Cycles on the Surface Roughness of Thermally Treated Nickel-Titanium Endodontic Files by Ba-Hattab, Raidan

    Published 2022
    “…An unsterilized group was assigned as the pre-autoclaving group (Cycle 0), and the other three groups underwent various autoclave sterilization cycles (Cycles 1, 5, and 10). The roughness average (Ra), root mean square (Rq), and average maximum peak-to-valley height (Rz) values were evaluated using SEM and ImageJ software. …”
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