Showing 161 - 180 results of 1,551 for search '(( greater decrease ) OR ((( (time OR (times OR liver)) increase ) OR ( peer decrease ))))*', query time: 0.13s Refine Results
  1. 161

    Towards electric digital twin grid: Technology and framework review by Md. Mhamud Hussen Sifat (17337913)

    Published 2023
    “…Electric Digital Twin grid can perform online analysis of the grid in real-time and integrates all the past and present data and express the current grid status to the producers and consumers and also predicts the future grid status. …”
  2. 162

    Sinusoidal obstruction syndrome and nodular regenerative hyperplasia are frequent oxaliplatin-associated liver lesions and partially prevented by bevacizumab in patients with hepat... by Rubbia-Brandt, Laura

    Published 2010
    “…Rubbia-Brandt L, Lauwers G Y, Wang H, Majno P E, Tanabe K, Zhu A X, Brezault C, Soubrane O, Abdalla E K, Vauthey J-N, Mentha G & Terris B (2010) Histopathology56, 430–439 Sinusoidal obstruction syndrome and nodular regenerative hyperplasia are frequent oxaliplatin-associated liver lesions and partially prevented by bevacizumab in patients with hepatic colorectal metastasis Aims:  Because of its efficacy, oxaliplatin (OX) is increasingly used as a chemotherapeutic agent in the treatment of colorectal liver metastases (CRLM). …”
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  3. 163
  4. 164

    Comparative Study on Beneficial Effects of Hydroxytyrosol- and Oleuropein-Rich Olive Leaf Extracts on High-Fat Diet-Induced Lipid Metabolism Disturbance and Liver Injury in Rats by Ines Fki (14571855)

    Published 2020
    “…Moreover, these extracts, mainly the hydroxytyrosol-rich extract, reduced the elevated liver enzymes, enhanced the antioxidant status, and attenuated the liver inflammation and apoptosis. …”
  5. 165

    Hepato‐splanchnic fluxes during exercise in patients with cirrhosis—a pilot study by Stefanos Volianitis (22155835)

    Published 2024
    “…Hepatic glucose output increased from 0.6 (0.5–0.7) to 1.5 (1.3–1.7) mmol/min, while arterial lactate increased from 0.8 (0.7–0.9) to 9.0 (8.1–9.9) mmol/L (<i>P</i> < 0.05) despite a rise in hepatic lactate uptake. …”
  6. 166

    The Superiority of T2*MRI Over Serum Ferritin in the Evaluation of Secondary Iron Overload in a Chronic Kidney Disease Patient: A Case Report by Abdulrahman Al-Mashdali (16388474)

    Published 2021
    “…Currently, T2*MRI of the heart and liver is the preferred investigation for evaluating liver iron concentration (LIC) and cardiac iron concentration, which reflect the state of iron overload. …”
  7. 167

    Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting by Abdelkader Baggag (16864140)

    Published 2019
    “…In this article, we investigate the problem of missing data or noisy information in the context of real-time monitoring and forecasting of traffic congestion for road networks in a city. …”
  8. 168

    Exendin-4 promotes GSIS without increasing β-cell number through upregulation of glucose-sensing apparatus and mitochondrial oxidative phosphorylation machinery genes in hPSC-deriv... by Abdoulaye Diane (14152749)

    Published 2023
    “…</p> <p>Conclusion: Our data demonstrated for the first time in 3D differentiation of hPSC-derived β-cells that addition of Exendin-4 promotes GSIS through upregulation of both glucose-sensing apparatus and mitochondrial oxidative phosphorylation machinery genes without increasing β-cell number.…”
  9. 169

    Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring by Zina Chkirbene (16869987)

    Published 2024
    “…In this context, Deep Reinforcement Learning (DRL) emerges as a technological advancement that improves the healthcare by enabling smart, adaptive, and real-time decision-making processes. Existing DRL applications in resource allocation, however, face significant challenges. …”
  10. 170

    Blockchain-Based Local Energy Market Enabling P2P Trading: An Australian Collated Case Study on Energy Users, Retailers and Utilities by Liaqat Ali (641438)

    Published 2022
    “…Moreover, the margins of both energy retailers and distribution utilities are kept unchanged or increased to some extent by the proposed trading model to incorporate them in the LEM framework effectively. …”
  11. 171

    Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir (19170898)

    Published 2025
    “…A key requirement in these applications is minimizing the latency of data processing, particularly for time-sensitive tasks like image classification of IIoT device data. …”
  12. 172

    Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique by Iqbal Hassan (22155274)

    Published 2024
    “…<p dir="ltr">The increasing prevalence of non-invasive, portable Electroencephalography (EEG) sensors for neuro-physiological measurements has propelled EEG-based assessments of cognitive load (CL) into the spotlight. …”
  13. 173
  14. 174

    Downregulation of <i>CYP17A1</i> by 20-hydroxyecdysone: plasma progesterone and its vasodilatory properties by Maneera Y Aljaber (18278971)

    Published 2022
    “…Methods: Chimeric mice with humanized liver were treated with 20-hydroxyecdysone for 3 days, and hepatic steroidogenic pathway genes and plasma progesterone were measured by transcriptomics and GC–MS/MS, respectively. …”
  15. 175

    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval by Mohammed Tahar Habib Kaib (21633176)

    Published 2024
    “…For a large-sized data set, KPCA’s execution time and occupied storage space will increase drastically and the monitoring performance can also be affected in this case. …”
  16. 176

    Efficient Detection of Hepatic Steatosis in Ultrasound Images Using Convolutional Neural Networks: A Comparative Study by Fahad M. Alshagathrh (19365478)

    Published 2023
    “…<h3>Introduction</h3><p dir="ltr">Artificial Intelligence (AI) is widely used in medical studies to interpret imaging data and improve the efficiency of healthcare professionals. Nonalcoholic fatty liver disease (NAFLD) is a common liver abnormality associated with an increased risk of hepatic cirrhosis, hepatocellular carcinoma, and cardiovascular morbidity and mortality. …”
  17. 177

    Association of single nucleotide polymorphisms with dyslipidemia and risk of metabolic disorders in the State of Qatar by Dalal Al‐Sharshani (19479814)

    Published 2023
    “…<h3>Background</h3><p dir="ltr">Dyslipidemia is recognized as one of the risk factors of cardiovascular diseases (CVDs), type 2 diabetes mellitus (T2DM), and non-alcoholic fatty liver disease (NAFLD).</p><h3>Objective</h3><p dir="ltr">The study aimed to investigate the association between selected single nucleotide polymorphisms (SNPs) with dyslipidemia and increased susceptibility risks of CVD, NAFLD, and/or T2DM in dyslipidemia patients in comparison with healthy control individuals from the Qatar genome project.…”
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  19. 179

    Malva sylvestris water extract by Daher, CF

    Published 2009
    “…After one month of extract intake via drinking water (100, 400 and 800mg/kg body weight) the 400 and 800mg/kg body weight doses resulted in significant increase in serum triglyceride, while other lipid and glycemic parameters and liver enzyme activities (AST, ALT, LDH, ALP) were unaffected. …”
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  20. 180

    Sincalide in patients with parenteral nutrition—Associated gallbladder disease by Btaiche, Imad F.

    Published 2004
    “…Sincalide at intravenous doses of 0.04 μg/kg 3 times daily increased bile flow and improved serum bilirubin levels. …”
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