Showing 221 - 240 results of 442 for search '(((( peer decrease ) OR ((( smart increase ) OR ( peter decrease ))))) OR ( mean decrease ))*', query time: 0.11s Refine Results
  1. 221

    Multivariate epidemiologic analysis of type 2 diabetes mellitus risks in the Lebanese population by Ghassibe-Sabbagh, Michella

    Published 2014
    “…People with T2DM showed a significant decrease in HDL-C levels. A strong correlation of overall hyperlipidemia with the diabetes affection status was shown (p < 0.0001). …”
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  2. 222

    Orthodontic camouflage versus orthodontic-orthognathic surgical treatment in borderline class III malocclusion: a systematic review by Maged S. Alhammadi (14150757)

    Published 2022
    “…Regarding the vertical jaw relation, one study reported a significant decrease in mandibular plane inclination in OC and a significant increase in OOS. …”
  3. 223

    Utilization of the internet for physical activity and diet information and its influence on pregnant women’s lifestyle habits in Qatar by Ayman Al-Dahshan (8962568)

    Published 2023
    “…</p><h3>Results</h3><p dir="ltr">A total of 327 pregnant women (mean age of 29.5 years ± 4.0) completed and returned the questionnaire (response rate: 87.5%). …”
  4. 224

    Dynamic Change in Insulin Resistance Induced by Free Fatty Acids Is Unchanged Though Insulin Sensitivity Improves Following Endurance Exercise in PCOS by Myint Myint Aye (6404327)

    Published 2018
    “…Skewed data were log transformed and expressed as mean ± SEM.</p><h3>Results</h3><p dir="ltr">Before exercise, women with PCOS had a higher HOMA-IR and lower VO2 max than controls. …”
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    A Novel Ad-Hoc Mobile Edge Cloud Offering Security Services Through Intelligent Resource-Aware Offloading by Dbouk, Toufic

    Published 2019
    “…While the usage of smart devices is increasing, security attacks and malware affecting such terminals are briskly evolving as well. …”
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  9. 229

    CEAP by Abdel Wahab, Omar

    Published 2016
    “…To tackle these challenges, we propose a multi-decision intelligent detection model called CEAP that complies with the highly mobile nature of VANET with increased detection rate and minimal overhead. The basic idea is to launch cooperative monitoring between vehicles to build a training dataset that is analyzed by the Support Vector Machine (SVM) learning technique in online and incremental fashions to classify the smart vehicles either cooperative or malicious. …”
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  10. 230

    Genetic biomarkers and machine learning techniques for predicting diabetes: systematic review by Sulaiman Khan (12585349)

    Published 2024
    “…Despite the emergence of numerous smart AI models for diabetes prediction, there is still a need for a thorough review outlining their progress and challenges. …”
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  16. 236

    Development and modeling of novel extensional ionic polymer transducers by Akle, Barbar

    Published 2007
    “…In this work novel extensional IPT actuators are developed for the purpose of increasing the overall displacement of the actuator. …”
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  17. 237

    Mitigation of voltage imbalance in power distribution system using MPC‐controlled packed‐U‐cells converter by Ibrahim Ahmed (14778349)

    Published 2019
    “…<p dir="ltr">Delivering high power quality in single-phase distribution has witnessed more challenges especially with the increased penetration of single-phase distributed generation (DG). …”
  18. 238

    Simulation of the size-composition distribution of atmospheric nanoparticles over Europe by David Patoulias (4722960)

    Published 2018
    “…The ground level concentrations of particles with a diameter larger than 100 nm (N100) were reproduced with a daily normalized mean error of 40 % and a daily normalized mean bias of −20 %. …”
  19. 239

    Wind shear coefficient, turbulence intensity and wind power potential assessment for Dhulom, Saudi Arabia by Rehman, Shafiqur

    Published 2020
    “…The study also includes the local values of air density calculated using temperature and pressure measurement made at 2 m AGL during the same period. The mean wind speed above 4 m/s and the standard deviation values were used to obtain the turbulence intensities (TI) at different heights. …”
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