The effect of IL-1RA and IL-13 on cutaneous leishmaniasis in BALB/C mice as to hyperalgesia and the levels of IL-1b and IL-6. (c2005) by Hamdan, Hamdan Ghazi

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Isolation and study of Lipase activity of an olive oil degrading Thermoactionomyces SP. (c2002) by Al Khudary, Rami

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Assessment of the use of dolomite for the recovery of ammonia from field landfill leachate. (c2019) by Rayshouni, Hussein

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Investigating The Efficacy of Ruxolitinib and CHIR-99021 in Targeting Pediatric Neuroblastoma Stem Cells by Al Sayyed, Fatima

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Alternative energy science and policy by Ammous, Saifedean H.

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The effect of malva sylvestris on inflammation, gastric damage, lipemia, glycemia and microbial growth. (c2006) by Sleiman, Na'ama Hassan

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Characterization of Dse1 a candida albicans cells wall protein. (c2009) by Daher, Jalil Y.

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Efficacy And Safety of Cannabidiol on Juvenile Diabetes Outcomes in Male Rats by Awkar, Nai

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Therapeutic Effect of Lebanese Cannabis Oil Extract in the Management of Sodium Orthovanadate-Induced Nephrotoxicity in Rats by Habchy, Chistabel

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Distinctive role of starD 13 in serous ovarian carcinoma cell proliferation, metastasis, and invadopodia assembly. (c2019) by Abdullatef, Sandra

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Suppression of Unstable Flow by Using Rough Surfaces at Small Mass Flow Rates in a Radial Diffuser by Salem, Hayder

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Nonlinear Multimode Vibration Attenuation Using Passive Circuits by Kadri, Khaled

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Predictors of Mortality in Veno-Arterial Extracorporeal Membrane Oxygenation Regardless of Early Left Ventricular Unloading: A National Experience by Alaa Rahhal (14150403)

“…The significant positive predictors of mortality with VA-ECMO regardless of IABP in CS were CPR > 20 minutes (aOR 14.74, 95% CI 2.02-107.41; p-value= 0.008), older age (i.e., greater than 55 years) and LM disease of more than 50% stenosis were associated with a fourfold increase in the odds of mortality while on VA-ECMO. …”

Competition, regulation, and systemic risk in dual banking systems by Indria Ernaningsih (17871056)

“…Our results also reveal a non-linear relationship between competition and systemic risk. Specifically, greater competition leads to increased systemic stability, but beyond a certain threshold, higher competition exacerbates banks' systemic risk. …”

Potential mechanisms of human recombinant arginase I (Co)-PEG5000 [HuArgI (CO) - PRG5000] induced cytotoxicity in glioblastoma cells. (c2018) by El Jawhari, Yassmine

“…The addition of chloroquine, an autophagy inhibitor, increased the sensitivity of cells to [HuArgI (Co)-PEG5000]-mediated arginine depletion at earlier time points. We also concluded that autophagy was activated in response to arginine depletion and plays a protective role at early time points. …”
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Vocal Changes in Patients With Polycystic Ovary Syndrome by Hannoun, Antoine

“…There was no statistically significant difference in the acoustic parameters except for an increase in the relative average perturbation (P value = 0.035) and a decrease in maximum phonation time (P value = 0.001) in patients with PCOS. …”
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Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

“…The performance of the FDD method depends mainly on the quality of the extracted features including real-time changes, phase changes, trend changes, and faulty modes. …”

Intracellular Ionic Strength Sensing Using NanoLuc by Tausif Altamash (3846304)

“…Therefore, there is a demand for the development of sensitive tools for real-time monitoring of intracellular ionic strength. …”

Enhancing Security and Performance in Live VM Migration: A Machine Learning‐Driven Framework With Selective Encryption for Enhanced Security and Performance in Cloud Computing Envi... by Raseena M. Haris (17773470)

“…Rigorous experiments demonstrate its effectiveness, showcasing an average 51.82% reduction in downtime and an average 72.73% decrease in total migration time across diverse workloads. …”

Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation by Fawaz Kserawi (16904859)

“…We describe our differentially-private model with flexible constraints and a dynamic window algorithm to maintain the privacy-budget loss in infinitely generated time-series data. Our experimental results show a possible decrease in data perturbation error by 51.7% and 61.2% for smart meters and fog-computing data aggregators perturbed data, respectively, compared to the commonly used Gaussian mechanism.…”