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A new insight into the separation of oil from oil/water emulsion by Fe3O4?SiO2 nanoparticles
Published 2021“…Moreover, the results exhibited that the reservoir conditions are a crucial function for increasing the oil recovery rates, improving the emulsion stability, and acts as a substantial step for the oil recovery method that applies this particular technique.…”
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102
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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Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021
Published 2024“…In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. …”
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Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021
Published 2024“…In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. …”
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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
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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Solar-driven hydrogen production from a water-splitting cycle based on carbon-TiO2 nano-tubes
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
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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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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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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