Publications by authors named "E Angel"

Cirrhosis incidence is significantly increased with age and frequently complicated with neurocognitive dysfunction. We have evaluated the contribution of aging to neuroinflammation in the liver-brain axis in advanced chronic liver disease. Young (6-week-old) and old (9-month-old) mice were included in a 12-week protocol of CCl-induced cirrhosis.

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Even though deep learning shows impressive results in several applications, its use on problems with High Dimensions and Low Sample Size, such as diagnosing rare diseases, leads to overfitting. One solution often proposed is feature selection. In deep learning, along with feature selection, network sparsification is also used to improve the results when dealing with high dimensions low sample size data.

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Effective thermal management of electronic devices encounters substantial challenges owing to the notable power densities involved. Here, we propose layered MoS phononic crystals (PnCs) that can effectively reduce thermal conductivity (κ) with relatively small disruption of electrical conductivity (σ), offering a potential thermal management solution for nanoelectronics. These layered PnCs exhibit remarkable efficiency in reducing κ, surpassing that of Si and SiC PnCs with similar periodicity by ~100-fold.

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Introduction: Meta-analyses across diverse independent studies provide improved confidence in results. However, within the context of metabolomic epidemiology, meta-analysis investigations are complicated by differences in study design, data acquisition, and other factors that may impact reproducibility.

Objective: The objective of this study was to identify maternal blood metabolites during pregnancy (> 24 gestational weeks) related to offspring body mass index (BMI) at age two years through a meta-analysis framework.

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Phytotoxicity caused by secondary metabolites of botanical extracts is a drawback in agriculture. The objective of this study was to evaluate the phytotoxic effects of methanolic extracts of and on the germination and physiological variables of tomato seedlings. The results indicated that high doses of both extracts ( and ) inhibited tomato seed germination, while their mixture ( + ) promoted germination by 100%.

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