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Role of pharmacist in cardiovascular disease-related health promotion and in hypertension and dyslipidemia management: A cross-sectional study in the State of Qatar
Published 2016“…Results A total of 141 pharmacists completed the survey (response rate 60%). …”
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High-intensity exercise training does not influence body weight but improves lipid oxidation in obese adults: A 6-week RCT
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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A robust experimental-based artificial neural network approach for photovoltaic maximum power point identification considering electrical, thermal and meteorological impact
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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Effects of the addition of a high energy density fuel, adamantane to diesel on its cetane number, sooting propensity, and soot nanostructural properties
Published 2022“…The addition of up to 6.75 wt% of adamantane in diesel significantly increased the smoke point of diesel from 18 to 29 mm (and threshold sooting index decreased by 44%), indicating a drastic drop in fuel sooting tendency. …”
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Regional variations in incidence of surgical site infection and associated risk factors in women undergoing cesarean section: A systematic review and Meta-Analysis
Published 2025“…Meta-regression showed a significant decrease in SSI incidence in HICs. …”
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RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
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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RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
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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