Impaired Liver Size and Compromised Neurobehavioral Activity are Elicited by Chitosan Nanoparticles in the Zebrafish Embryo Model by Haissam Abou-Saleh (497840)

“…Although no single sign of cardiotoxicity was observed upon exposure to 200 mg/L of ChNPs, as judged by heartbeat rate, the corrected QT interval (QTc, which measures the time between the start of the Q wave and the end of the T wave in the heart's electrical cycle), maximum cardiac arrest, and ejection fraction assays, the same dosage elicited the impairment of both liver size (decreased liver size, but without steatosis and lipid yolk retention) and neurobehavioral activity (increased movement under different light conditions). …”

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

“…ConclusionCAN was associated with increased glycemic variability with less time in euglycemia attributed to a greater time in hyperglycemia but not hypoglycemia.…”
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Cardiovascular autonomic neuropathy is associated with increased glycemic variability driven by hyperglycemia rather than hypoglycemia in patients with diabetes by Hoda Gad (6470522)

“…</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.…”

Assessment of tropospheric NO₂ concentrations over greater Doha using Sentinel-5 TROPOspheric monitoring instrument (TROPOMI) satellite data: Temporal analysis, 2018–202... by Yasir E. Mohieldeen (22155901)

“…<p dir="ltr">This study presents a temporal evaluation of the tropospheric NO₂ 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 NO₂ levels before, during and after the tournament over Greater Doha. …”

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

“…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. …”

Novel proteins implicated in lipid metabolism disorders by Nature Research (16552612)

“…</p><p>Familial combined hypolipidaemia is a recently discovered autosomal recessive disorder attributed to mutations in the <i>ANGPLT3</i> gene, leading to very low serum levels of triglycerides and low- and high-density lipoproteins, but does not seem to be associated with liver abnormalities.</p><p>ANGPTL4 is a protein that is activated during fasting, decreasing the release of free fatty acids from circulating triglyceride-rich lipoproteins. …”

Hepatoprotective activity of the wild carrot chloroform-based fraction against CCl4-induced liver toxicity in mice by Shebaby, W.

“…The liver plays a major role in detoxifying and clearing xenobiotics that may lead to liver damage and hepatic dysfunction. …”
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Two-Surgeon Technique for Hepatic Parenchymal Transection of the Noncirrhotic Liver Using Saline-Linked Cautery and Ultrasonic Dissection by Aloia, Thomas

“…Saline-linked cautery is now widely used in liver surgery and is reported to decrease blood loss during liver transection, but data on its exact benefits are lacking. …”
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Novel thiazolones for the simultaneous modulation of PPARγ, COX-2 and 15-LOX to address metabolic disease-associated portal inflammation by Mai S., El-Shoukrofy

“…As well, the expression levels of 20-HETE, Il-1β and TNF-α were decreased in LPS-challenged RAW264.7 macrophages upon treatment with compound 2a. …”
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Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach by Abdul Basit Mughal (22929001)

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

“…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. …”
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L1-CAM knock-down radiosensitizes neuroblastoma IMR-32 cells by simultaneously decreasing MycN, but increasing PTEN protein expression by Rached, Johnny

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Pavement Crack Assessment Using Satellite Remote Sensing and Deep Learning Model by Al Adab, Maryam

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Percutaneous Transhepatic Bile Duct Ablation with n-Butyl Cyanoacrylate in the Treatment of a Biliary Complication after Split Liver Transplantation by Lauterio, Andrea

“…Biliary complications continue to be a major cause of morbidity after split-liver transplantation (SLT). In this report we describe an uncommon late biliary complication. …”
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Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

“…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …”

Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC) by Salman, Omar

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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)

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

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

“…Among the 14 amino acids measured, glutamate was released in the liver, while the uptake of free fatty acids decreased. …”

Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M., Shibl

“…Deep RL is utilized to model the EV chargers and the EV users. …”
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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M. Shibl (17821382)

“…Deep RL is utilized to model the EV chargers and the EV users. …”