Distribution of Doxorubicin in Rats Undergoing Ultrasonic Drug Delivery by Staples, Bryant J.

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Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology by Senyuk, Mihail

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

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

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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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Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021 by Stein Emil, Vollset

“…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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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

“…Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws. …”
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Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic anal... by Haidong, Wang

“…FindingsThe global TFR decreased from 2·72 (95% uncertainty interval [UI] 2·66–2·79) in 2000 to 2·31 (2·17–2·46) in 2019. …”
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Factors associated with functional disability among Lebanese elderly living in rural areas by Zgheib, Elias

“…The Aging and Malnutrition in Elderly Lebanese study, a cross-sectional population-based one (April 2011-April 2012), included 1200 individuals aged ≥65 years from 24 Lebanese rural districts. The results showed that 288 (24%) were disabled and 287 (23.9%) exposed to polypharmacy. …”
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Breast cancer screening in Lebanon: Understanding knowledge, attitudes and barriers by Elias-Rizk, Tamina

“…Background Breast cancer (BC) has been increasing in both prevalence and incidence in Lebanon. …”
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Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic anal... by Haidong Wang (47381)

“…Findings The global TFR decreased from 2·72 (95% uncertainty interval [UI] 2·66–2·79) in 2000 to 2·31 (2·17–2·46) in 2019. …”

Planning for a neighborhood and city-scale green network system in Qatar: the case of MIA Park by Raffaello Furlan (273228)

“…These factors caused social and environmental problems related to (1) the loss of a compact urban pattern, (2) an increased level of air pollution (3) high traffic congestions and (4) increasing landscape fragmentation. …”

Machine Learning Models for Scheduling On-Demand Fog Placement and Optimizing Container Deployment by Farhat, Peter

“…Second, we propose a K-Means based clustering model embedded within a multi-objective optimization scheme for fog and container placement. …”
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