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Showing 41 - 60 results of 2,108 for search '(( greater decrease ) OR ((( (deep OR five) increase ) OR ( per decrease ))))*', query time: 0.20s Refine Results
  1. 41

    The Association of Hypertension with Increased Mortality Rate During the COVID-19 Pandemic: An Update with Meta-analysis by Ahmad R. Al-Qudimat (17337808)

    Published 2023
    “…Pooled results show that the mortality rate of COVID-19 among the included studies ranges from a minimum of 0.39 (95% CI 0.13–1.12) to a maximum of 5.74 (95% CI 3.77–8.74). Out of the 611,522 patients, 3119 died which resulted in an overall mortality prevalence of 0.5%. …”
  2. 42

    Sulforaphane Delays Fibroblast Senescence by Curbing Cellular Glucose Uptake, Increased Glycolysis, and Oxidative Damage by Florence Hariton (18629764)

    Published 2018
    “…We describe herein that the cruciferous vegetable-derived metabolite, sulforaphane (SFN), activates Nrf2 and delays senescence of human MRC-5 and BJ fibroblasts in vitro. Cell senescence is associated with a progressive and marked increased rate of glucose metabolism through glycolysis. …”
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  4. 44

    Deep Learning for Arabic Error Detection and Correction by ALKHATIB, MANAR

    Published 2020
    “…We introduce an approach that investigates employing deep neural network technology for error detection in Arabic text. …”
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  5. 45

    Chemotherapy Regimen Predicts Steatohepatitis and an Increase in 90-Day Mortality After Surgery for Hepatic Colorectal Metastases by Vauthey, Jean-Nicolas

    Published 2006
    “…Patients with steatohepatitis had an increased 90-day mortality compared with patients who did not have steatohepatitis (14.7% v 1.6%, respectively; P = .001; OR = 10.5; 95% CI, 2.0 to 36.4). …”
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  6. 46

    Quantification of relaxor behavior in (1 − x)Na0.5Bi0.5TiO3 – xCaTiO3 lead-free ceramics system by Roukos, Roy

    Published 2019
    “…This work examines the relaxor behavior of lead-free ceramic (1 − x)Na0.5Bi0.5TiO3–xCaTiO3 systems. A stable rhombohedral (R3c) phase is detected at room temperature for all compositions by XRD and Raman spectroscopy. …”
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  7. 47

    Influence of graphene wrapped-cerium oxide coating on spherical LiNi0.5Mn1.5O4 particles as cathode in high-voltage lithium-ion batteries by Zawar Alam Qureshi (17545743)

    Published 2022
    “…<p>Cobalt-free LiNi0.5Mn1.5O4 (Lithium Nickel Manganese Oxide; LNMO) has garnered considerable interest as a cathode material due to its high working voltage, lower cost, and environmental friendliness. …”
  8. 48

    Neonatal Simulation Program: A 5 Years Educational Journey From Qatar by Mohammad A. A. Bayoumi (17993782)

    Published 2022
    “…The mean duration of the LISA catheter insertion at the beginning of the workshop was 23.5 ± 15.9 compared to 12.1 ± 8.5 s at the end of the workshop (<i>P</i> = 0.001). …”
  9. 49

    Addressing bias in the definition of SARS-CoV-2 reinfection: implications for underestimation by Hiam Chemaitelly (439114)

    Published 2024
    “…<h3>Introduction</h3><p dir="ltr">Reinfections are increasingly becoming a feature in the epidemiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. …”
  10. 50

    5G Networks Security Mitigation Model: An ANN-ISM Hybrid Approach by Rafiq Ahmad Khan (5066180)

    Published 2025
    “…<p dir="ltr">The advent of Fifth-Generation (5G) networks has introduced significant security challenges due to increased complexity and diverse use cases. …”
  11. 51

    Effect of La3+ substitution for Sr2+ on thephase formation, structure and properties of (Tl0.5Pb0.5)Sr2Ca2Cu3Oy compounds by Hamdan, N.M.

    Published 2000
    “…Optimization of the hole concentration in (Tl0.5Pb0.5)Sr2Ca2Cu3 Oy (Tl-1223) was attempted though partial replacement of Sr2+ by La3+. …”
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  12. 52

    Deep Learning for the Accurate Prediction of Triggered Drug Delivery by Husseini, Ghaleb

    Published 2024
    “…The deep learning-based predictions significantly outperform linear predictions, proving the utility of advanced computational methods in drug delivery. …”
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  13. 53

    Knowledge-based Deep Learning for Modeling Chaotic Systems by Elabid, Zakaria

    Published 2022
    “…Deep Learning has received increased attention due to its unbeatable success in many fields, such as computer vision, natural language processing, recommendation systems, and most recently in simulating multiphysics problems and predicting nonlinear dynamical systems. …”
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  15. 55

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

    Published 2023
    “…The percentage GRADEEuglycemia (3.30 ± 2.78 vs. 5.69 ± 3.09, P = 0.017) and GRADEHypoglycemia (0.3 (range: 0 – 3.80) vs. 1.8 (range: 0.9–6.5), P = 0.036) were significantly lower, while the percentage median GRADEHyperglycemia (95.45 (range:93–98) vs. 91.6 (82.8–95.1), P = 0.013) was significantly higher in participants with CAN compared to those without CAN. …”
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  16. 56

    Targeted Inactivation of Rin3 Increases Trabecular Bone Mass by Reducing Bone Resorption and Favouring Bone Formation by Mahéva Vallet (18456729)

    Published 2021
    “…Mean ± standard deviation values at the distal femur at 8 weeks were 9.0 ± 2.5 vs. 7.0 ± 1.5 (p = 0.002) and at 52 weeks were 15.8 ± 9.5 vs. 8.5 ± 4.2 (p = 0.002). …”
  17. 57

    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
    “…The percentage GRADEEuglycemia (3.30 ± 2.78 vs. 5.69 ± 3.09, P = 0.017) and GRADEHypoglycemia (0.3 (range: 0 – 3.80) vs. 1.8 (range: 0.9–6.5), P = 0.036) were significantly lower, while the percentage median GRADEHyperglycemia (95.45 (range:93–98) vs. 91.6 (82.8–95.1), P = 0.013) was significantly higher in participants with CAN compared to those without CAN.…”
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    SARS-CoV-2 Infection and Smoking: What is the association? A brief review by Ishita, Gupta

    Published 2021
    “…Smoking has been shown to enhance the expression of the angiotensin-converting enzyme-2 (ACE-2) and transmembrane serine protease 2 (TMPRSS2) key entry genes utilized by SARS-CoV-2 to infect cells and induce a ‘cytokine storm’, which further increases the severity of COVID-19 clinical course. …”
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