Showing 1 - 20 results of 754 for search '(( greater increase ) OR ((( deep decrease ) OR ((( been decrease ) OR ( master decrease ))))))*', query time: 0.13s Refine Results
  1. 1
  2. 2
  3. 3

    Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) by Khaled F. Alkaraki (22051967)

    Published 2024
    “…The slightest increase in LST was within forested areas as the average LST increased from 28.42 °C in 1980 to 34.16 °C in 2023. …”
  4. 4

    Assessment of community noise problem in greater Beirut area, Lebanon by Korfali, Samira Ibrahim

    Published 2003
    “…Over the last two decades, urban noise has been increasingrapidly, primarily in urban areas, due to population growthand the increase of certain noise sources. The main objectiveof this paper is to assess the sources and possible impactsof the community noise problems in Lebanese urban areas,particularly the Greater Beirut Area. …”
    Get full text
    Get full text
    Get full text
    article
  5. 5
  6. 6
  7. 7

    The effect of vancomycin doses greater than 2 grams on serum creatinine and vancomycin trough levels by Mansour, Hanine

    Published 2014
    “…Conclusion: The use of doses greater than 2 grams of IV vancomycin did not show a statistically significant increase in serum creatinine. …”
    Get full text
    Get full text
    Get full text
    article
  8. 8
  9. 9

    Determinants of improper versus proper waste disposal practices by households: Evidence from greater Cairo’s urban slums by Fheili, Michael Ibrahim

    Published 2025
    “…Accordingly, this study investigates the determinants of household solid waste disposal practices in the urban slums of Greater Cairo using data from the Survey of Young People in Informal Urban Areas of Greater Cairo (SYPE-IGC) in 2016. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
  10. 10
  11. 11

    A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by Wesam S. Ahmed (10170053)

    Published 2024
    “…</p><h3>Significance </h3><p dir="ltr">Bioluminescence has been extensively utilized in developing a variety of biological and biomedical assays. …”
  12. 12

    Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex by Wesam S. Ahmed (10170053)

    Published 2022
    “…Specifically, the N501Y mutation in the S1 spike receptor binding domain (S1-RBD) of these variants have been reported to increase its affinity for ACE2, although the basis for this is not entirely clear yet. …”
  13. 13

    Corrigendum: Decreased interfacial dynamics caused by the N501Y mutation in the SARS-CoV-2 S1 spike:ACE2 complex by Wesam S. Ahmed (10170053)

    Published 2022
    “…<p dir="ltr">Corrigendum: Decreased interfacial dynamics caused by the N501Y mutation in the SARS-CoV-2 S1 spike:ACE2 complex: Frontiers in Molecular Biosciences <a href="https://dx.doi.org/10.3389/fmolb.2022.846996" target="_blank">https://dx.doi.org/10.3389/fmolb.2022.846996</a>, published online 22 July 2022.…”
  14. 14

    A control algorithm to increase the efficient operation of wind energy conversion systems under extreme wind conditions by Nyam Jargalsaikhan (17380429)

    Published 2022
    “…<p dir="ltr">This paper aims to increase the power production of gearless permanent magnet synchronous generator (PMSG) based wind energy conversion systems (WECS) in strong (greater than 25 m/s) wind speed regions. …”
  15. 15

    Cardiovascular autonomic neuropathy is associated with increased glycemic variability driven by hyperglycemia rather than hypoglycemia in patients with diabetes by Hoda, Gad

    Published 2023
    “…ConclusionCAN was associated with increased glycemic variability with less time in euglycemia attributed to a greater time in hyperglycemia but not hypoglycemia.…”
    Get full text
    Get full text
    Get full text
    article
  16. 16

    Cardiovascular autonomic neuropathy is associated with increased glycemic variability driven by hyperglycemia rather than hypoglycemia in patients with diabetes by Hoda Gad (6470522)

    Published 2023
    “…</p><h3>Conclusion</h3><p dir="ltr">CAN was associated with increased glycemic variability with less time in euglycemia attributed to a greater time in hyperglycemia but not hypoglycemia.…”
  17. 17

    Assessment of tropospheric NO<sub>2</sub> concentrations over greater Doha using Sentinel-5 TROPOspheric monitoring instrument (TROPOMI) satellite data: Temporal analysis, 2018–202... by Yasir E. Mohieldeen (22155901)

    Published 2024
    “…<p dir="ltr">This study presents a temporal evaluation of the tropospheric NO<sub>2</sub> column densities over Greater Doha using TROPOMI satellite data from May 2018 to December 2023, and an assessment of the impact of the preparations and hosting of the FIFA Football World Cup Qatar 2022, on NO<sub>2</sub> levels before, during and after the tournament over Greater Doha. …”
  18. 18

    Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA by Muhammad Shehab (16904880)

    Published 2022
    “…Driven by the rising deployment of deep reinforcement learning (DRL) techniques that are capable of coping with solving non-convex optimization problems, we employ DRL to predict and optimally tune the IRS phase shift matrices. …”
  19. 19

    Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach by Abdul Basit Mughal (22929001)

    Published 2025
    “…To address these challenges, a novel real-time wildlife monitoring model has been introduced that leverages YOLOv11, designed to perform effectively in complex backgrounds, diverse animal poses and low-light conditions. …”
  20. 20

    Do high energy-efficient buildings increase overheating risk in cold climates? Causes and mitigation measures required under recent and future climates by Mutasim Baba, Fuad

    Published 2022
    “…While without adequate ventilation, the overheating risk in high-energy-efficient buildings can be higher than old buildings, where decreasing wall and window U-values and infiltration rate has a greater contribution to the increase of indoor temperature, while decreasing window SHGC has a lower contribution to the decrease in indoor temperature compared to the case with adequate ventilation. …”
    Get full text
    Get full text
    Get full text