DUODENAL ORGANOIDS FROM METABOLIC DYSFUNCTION-ASSOCIATED STEATOHEPATITIS PATIENTS EXHIBIT ABSORPTIVE AND BARRIER ALTERATIONS

Duodenal Organoids From Metabolic Dysfunction-Associated Steatohepatitis Patients Exhibit Absorptive and Barrier Alterations

Background and Aims: Metabolic dysfunction-associated steatohepatitis (MASH) is a progressive liver disease that can lead to fibrosis, cirrhosis, and hepatocellular carcinoma.Though MASH is closely tied to metabolic risk factors, the underlying pathogenic mechanisms remain scarcely understood.Recent research has emphasized the importance of the Ori

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Proposed Ranked Strategy for Technical and Economical Enhancement of EVs Charging With High Penetration Level

Car exhaust is one of the most common causes of ozone hole aggravation, electrical vehicles (EVs) represent a promising solution to avoid this problem.Despite the benefits Butter Dishes of EVs, their random charging behavior causes some difficulties regarding the electric network performance, such as increased energy losses and voltage deviations.T

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Equid Assessment, Research and Scoping (EARS): The Development and Implementation of a New Equid Welfare Assessment and Monitoring Tool

The assessment of animal welfare poses numerous challenges, yet an emerging approach is the consolidation of existing knowledge into new frameworks which can offer standardised approaches to welfare assessment across vehicles a variety of contexts.Multiple tools exist for measuring the welfare of equids, but such tools have typically been developed

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Traffic flow forecasting using natural selection based hybrid Bald Eagle Search-Grey Wolf optimization algorithm.

In a fast-moving world, transportation consumes most of the time Butter Dishes and resources.Traffic prediction has become a thrust application for machine learning algorithms to overcome the hurdles faced by congestion.Its accuracy determines the selection and existence of machine learning algorithms.The accuracy of such an algorithm is improved b

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