Functional fatigue of Ni50.3Ti25Hf24.7 - Heterogeneities and evolution of local transformation strains by Abuzaid, Wael

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Bulk passivation of perovskite films utilizing halide anion ionic liquids by Alashkar, Adnan

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TCAD Simulation and Analysis of Selective Buried Oxide MOSFET Dynamic Power by Mahmoud, Rana

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Evaluation of Workability and Structuration Rate of Locally Developed 3D Printing Concrete Using Conventional Methods by Ahmed, Sara

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Elastic Buckling Behavior of Functionally Graded Material Thin Skew Plates with Circular Openings by Alashkar, Adnan

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In-Vitro Degradation of Hollow Silica Reinforced Magnesium Syntactic Foams in Different Simulated Body Fluids for Biomedical Applications by Manakari, Vyasaraj

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Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2... by Michael, Brauer

“…For younger demographics (ie, those aged 0–4 years and 5–14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9–27·7]) and environmental and occupational risks (decrease of 22·0% [15·5–28·8]), coupled with a 49·4% (42·3–56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. …”
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Wind shear coefficient, turbulence intensity and wind power potential assessment for Dhulom, Saudi Arabia by Rehman, Shafiqur

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Experimental and Analytical Investigations of the Use of Groove-Epoxy Anchorage System for Shear Strengthening of RC Beams Using CFRP Laminates by Mohamed, Khalid Mustafa Elradi

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Characterization of Contusive Spinal Cord Injury by Monitoring Motor-Evoked Potential by ALL, Angelo H.

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Lipid profile in Parkinson's disease: The potential role of brain-derived neurotrophic factor by Mahmoud A. Alomari (14780446)

“…Subsequent ANCOVA revealed differences (p < 0.05) in TC, HDL, LDL, TC/LDL, and TriG/HDL but not in glucose, TriG, and TC/HDL among the patients with low-BDNF versus high-BDNF.…”

Evaluation of the durability and shielding properties of high-strength concrete incorporating locally available materials and carbon additives by Othman, Obaida

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The Development of Metal-Free Porous Organic Polymers for Sustainable Carbon Dioxide Photoreduction by Bariki, Ranjit

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Environmental Footprint and Economics of a Full-Scale 3D-Printed House by Abdalla, Hadeer

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On the Detection of Passive Malicious Providers in Cloud Federations by Hammoud, Ahmad

“…Cloud federation has emerged as a new business architecture which aims to help cloud providers cope with the increased waves of demands on their resources and services. …”
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دور مكاتب الإصلاح والوساطة والتوفيق الأسري في الأردن في الحد من النزاعات الأسرية من وجهة نظر العاملين بها... by Al-Oqaili , Amneh Irshied

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Forecasting the effects of smoking prevalence scenarios on years of life lost and life expectancy from 2022 to 2050: a systematic analysis for the Global Burden of Disease Study 20... by Dana, Bryazka

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Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021 by Natalia V, Bhattacharjee

“…Additionally, the distribution of livebirths across the globe is shifting, with a greater proportion occurring in the lowest-income countries. …”
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Global, regional, and national prevalence of adult overweight and obesity, 1990–2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021 by Marie, Ng

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Univariate modeling and forecasting of energy consumption by Saab, Samer

“…The aim of this study is to investigate different univariate-modeling methodologies and try, at least, a one-step ahead forecast for monthly electric energy consumption in Lebanon. …”
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