Dry liquid crystal marbles are structures that consist of cholesteric liquid crystal (CLC) droplets prepared by the mixture of chiral-doped thermotropic LCs encapsulated by cellulose nanocrystals (CNCs) that have been dried under ambient conditions. The ch ...
Bicaudal-C1 (Bicc1), an RNA-Binding protein, is a ciliopathy-associated protein. In development, Bicc1 is necessary for left-right axis specification. Loss of Bicc1 in mice also associates with polycystic kidney development. In human, two hereditary polycy ...
Exa-scale simulations are on the horizon but almost no new design for the output has been proposed in recent years. In simulations using individual time steps, the traditional snapshots are over resolving particles/cells with large time steps and are under ...
Objective This study explored the impact of time-restricted eating (TRE) versus standard dietary advice (SDA) on bone health. Methods Adults with >= 1 component of metabolic syndrome were randomized to TRE (ad libitum eating within 12 hours) or SDA (food p ...
Deregulated energy homeostasis represents a hallmark of aging and results from complex gene-by-environment interactions. Here, we discovered that reducing the expression of the gene ech-6 encoding enoyl-CoA hydratase remitted fat diet-induced deleterious e ...
As both a consumer and producer of glucose, the kidney plays a significant role in glucose homeostasis. Measuring renal gluconeogenesis requires invasive techniques, and less invasive methods would allow renal gluconeogenesis to be measured more routinely. ...
FIDASIM is a code that models signals produced by charge-exchange reactions between neutrals and ions (both fast and thermal) in magnetically confined plasmas. With the ion distribution function as input, the code predicts the efflux to a neutral particle ...
2020
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The work presented in this dissertation lies in the domains of image classification, object detection, and machine learning. Whether it is training image classifiers or object detectors, the learning phase consists in finding an optimal boundary between po ...
The adipose tissue is increasingly recognized for the important role it plays in various diseases and pathological conditions, such as obesity, diabetes, cardiovascular diseases, osteoporosis, cancer, and aging. Despite its long-held reputation for being a ...
The work presented in this dissertation lies in the domains of image classification, object detection, and machine learning. Whether it is training image classifiers or object detectors, the learning phase consists in finding an optimal boundary between po ...