The Expression of TBC1 Domain Family, Member 4 (TBC1D4) in Skeletal Muscles of Insulin-Resistant Mice in Response to Sulforaphane حسب Rizk, Nasser M

"…Methodology: C57BL/6 mice (n=20) were fed with a high fat diet (60%) for 16 weeks to generate diet induced obese (DIO) mice with body weights between 45–50 gm. …"
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Seroprevalence of camel brucellosis in Qatar حسب Alhussain, Hashim

"…The association between sex and seropositivity was slightly significant (Χ2 = 4.32, P = 0.04), with higher seroprevalence in females. …"
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Molecular and Peritoneal Microvascular Changes Cause Peritoneal Membrane Dysfunction by Uremia-Related Mechanisms حسب Zakaria, El-Rasheid

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Screening of Qatari Microalgae and Cyanobacteria for Application in CO2 Utilization حسب Schipper, Kira

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Repositioning for pressure injury prevention in adults. حسب Gillespie, Brigid M

"…A pressure injury (PI), also referred to as a 'pressure ulcer', or 'bedsore', is an area of localised tissue damage caused by unrelieved pressure, friction, or shearing on any part of the body. …"
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STANDARDIZATION OF AN IN VITRO MODEL OF DIABETIC NEPHROPATHY IN RENAL TUBULAR CELLS AND INVESTIGATION OF THE ROLE OF ALDOSE REDUCTASE PATHWAY IN HIGH GLUCOSE-INDUCED RENAL CELL INJ... حسب El Gamal, Heba

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Semi-continuous anaerobic digestion of the organic fraction of municipal solid waste: digester performance and microbial population dynamics حسب Najoua, Mlaik

"…Three organic loading rates (OLRs) were tested throughout the anaerobic process (1.36, 2.5 and 3.5 g VS/L.d). The achieved results showed that biogas yield decreased with the increase of OLR. …"
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Investigation of solar PV performance under Doha weather using a customized measurement and monitoring system حسب Touati, Farid

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RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database حسب Al-Sa'd, Mohammad F.

"…Averaged accuracy has decreased from 99.7% for the first DNN (2-classes), to 84.5% for the second DNN (4-classes), and lastly, to 46.8% for the third DNN (10-classes). …"
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RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database حسب Al-Sa'd M.F.

"…Averaged accuracy has decreased from 99.7% for the first DNN (2-classes), to 84.5% for the second DNN (4-classes), and lastly, to 46.8% for the third DNN (10-classes). …"
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