Showing 141 - 160 results of 461 for search '(( 50 ((nn decrease) OR (a decrease)) ) OR ((( age gender decrease ) OR ( 12 wt decrease ))))*', query time: 0.16s Refine Results
  1. 141

    Comprehensive thermoeconomic, exergoeconomic, and optimization analyses of direct oxy-combustion supercritical CO2 intercooled and reheated cycles under design and off-design condi... by Al-Ammari, Wahib A.

    Published 2022
    “…At off-design conditions with a power demand (PD) of 40% of the design load (50 MW), the thermal efficiency is decreased by 21.82% in DRC, 17.71% in ICC, 22.46% in PIC, and 13.60% in RHC. …”
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  2. 142
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    Mechanical Performance and Thermo-Physical Properties of Cement Mortar Incorporating Hybrid Slags by Baawain, Mahad

    Published 2020
    “…Ferrochrome (FeCr) slag aggregate was used as a replacement for sand at the ratios of 25, 50, 75 and 100 wt. %. …”
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  6. 146

    Relationship between fat distribution, iron status, and hepcidin in Qatari obese adults by Abdelhamid, kerkadi

    Published 2019
    “…We noted a decrease in ferritin, Hemoglobin, serum iron and RBC with an increase in % fat. …”
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  7. 147

    Sleeping Habits during COVID-19 Induced Confinement by Alomari, Mahmoud

    Published 2020
    “…Moreover, change in daytime sleeping was related to age, gender, and job type while the change in nighttime sleeping hours was associated with age, obesity, and job type. …”
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  8. 148

    Sleeping habits during COVID-19 induced confinement: A study from Jordan by Alomari, Mahmoud A.

    Published 2021
    “…Moreover, change in daytime sleeping was related to age, gender, and job type (p < 0.05). In conclusion, changes in sleep quality during COVID-19-induced confinement were reported. …”
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  9. 149

    Experimental investigation on the compressibility of Al/Al2O3 nanocomposites by Wagih, Ahmed

    Published 2016
    “…With up to 12 wt.% of Al2O3, microhardness increases from 62 to 150 HV due to the decrease of the crystallite size. …”
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  10. 150

    Physical and Sedentary Activity during COVID19-induced Confinement by Hadi, Safya

    Published 2020
    “…With regard the SA, most of the participants reported an “increase” in watching TV (72.3%), using electronics (82.7%), and logging to social media (81.9%). Additionally, gender, job type, obesity, gender and being worried to conduct the disease are associated (p<0.05) with changes in PA while age, gender, obesity, job type and income are related (p<0.05) to changes in SA. …”
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  11. 151

    National trends of outcomes in transcatheter aortic valve replacement (TAVR) through transapical versus endovascular approach: From the National Inpatient Sample (NIS). by Abugroun, Ashraf

    Published 2020
    “…On multivariate analysis, after adjusting for age, gender, comorbidities, as well as hospital factors, patients with the transapical approach had a higher risk for mortality and adverse outcomes. …”
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  12. 152

    Changes in physical activity and sedentary behavior amid confinement: The bksq-covid-19 project by Alomari, M.A.

    Published 2020
    “…On the other hand, age, gender, obesity, job type and income were related (p<0.05) to changes in SB. …”
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  13. 153

    The Effect of Chronic Endurance Exercise on Serum Levels of MOTS-c and Humanin in Professional Athletes by Alser, M.

    Published 2022
    “…Within the athletic groups, high endurance athletes had lower levels of Humanin than low/moderate endurance athletes of the same gender/age groups, whereas MOTS-c levels did not change between the subgroups. …”
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  14. 154
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    The impact of intermittent fasting during Ramadan on psychomotor and cognitive skills in adolescent athletes by Bougrine, Houda

    Published 2024
    “…Results and discussion: The obtained data illustrated that there was a decrease in SRT, CRT, VT, and MRT performances during R1 in comparison to R0 (all p < .001). …”
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    Dietary patterns and colorectal cancer by Tayyem, Reema F.

    Published 2016
    “…MethodsDietary data was collected from 220 subjects who were previously diagnosed with CRC, and 281 control subjects (matched by age, gender, occupation and marital status). The data was collected between January 2010 and December 2012, using interview-based questionnaires. …”
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  20. 160