GENTIOPICROSIDE IMPROVES HIGH-FAT DIET-INDUCED NAFLD IN ASSOCIATION WITH MODULATION OF HOST SERUM METABOLOME AND GUT MICROBIOME IN MICE

Gentiopicroside improves high-fat diet-induced NAFLD in association with modulation of host serum metabolome and gut microbiome in mice

ObjectiveThe incidence of non-alcoholic fatty liver disease is increasing every year, and there is growing evidence that metabolites and intestinal bacteria play a causal role in NAFLD.Gentiopicroside, a major iridoids compound in gentian, has been reported to reduce hepatic lipid accumulation.However to date, no studies have confirmed whether the

read more

Dental cone beam ct and its justified use in oral health care

While dental 2D radiology is still the most frequent diagnostic tool, the inherent nature of jaws and teeth might surely benefit from 3D diagnosis.Nowadays, berness white sneakers dental cone beam computed tomography may offer high quality images at low radiation doses and costs.Yet, effective dose ranges of CBCT machines may easily vary from 10-12

read more

An Analysis of the Legitimacy of Detention and Interrogation Prior to Proof of Guilt from the Perspective of Imami Jurisprudence with Application to the Criminal Procedure Code of 2013

Regarding temporary detention and interrogation, it is essential to recognize that while the investigation and questioning of suspects are necessary to copyright justice after a crime has been committed, temporary detention inherently conflicts with individual rights and freedoms, leading legislators to impose restrictions on its application.Articl

read more

Automation Bias and Complacency in Security Operation Centers

The volume and complexity of alerts that security operation center (SOC) analysts must manage necessitate automation.Increased automation in SOCs amplifies the risk of automation bias and complacency whereby security analysts become over-reliant on automation, failing to seek confirmatory or contradictory information.To identify automation characte

read more

Deep reinforcement learning for the optimized operation of large amounts of distributed renewable energy assets

This study utilizes machine learning and, more specifically, reinforcement learning (RL) to allow for an optimized, real-time operation of large numbers of decentral flexible assets on private household scale in the electricity domain.The potential and current obstacles of RL are demonstrated guerlain ideal cologne and a guide for interested practi

read more