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Investigation of mechanisms involved in regulation of progesterone catabolism using an overfed versus underfed ewe-lamb model.

Journal of animal science
Alterations in progesterone (P4) catabolism due to high feed intake underlie some effects of nutrition on reproduction. Based on previous research, we hypothesized that high feed intake could potentially increase P4 catabolism, likely due to increase...

The effect of nitrate and monensin on in vitro ruminal fermentation.

Journal of animal science
Two experiments evaluated the effect of calcium ammonium nitrate decahydrate (calcium nitrate [NIT]) and monensin sodium (MON) on in vitro fermentation parameters of 2 contrasting diets (100:0 and 10:90 forage-to-concentrate ratios). Diet addition of...

An artificial neural network prediction model of congenital heart disease based on risk factors: A hospital-based case-control study.

Medicine
An artificial neural network (ANN) model was developed to predict the risks of congenital heart disease (CHD) in pregnant women.This hospital-based case-control study involved 119 CHD cases and 239 controls all recruited from birth defect surveillanc...

Renoprotective Effects of Shout Camphor Medicinal Mushroom (Taiwanofungus camphorates, Basidiomycetes) Mycelia on Several Media in Mice with Chronic Kidney Disease.

International journal of medicinal mushrooms
Taiwanofungus camphoratus has been widely used in Taiwan as a folk medicine to prevent and treat liver diseases, diarrhea, abdominal pain, itchy skin, and hypertension. Recent studies have shown that T. camphoratus mycelia extracts exert anti-inflamm...

Investigation of the Tiger Milk Medicinal Mushroom, Lignosus rhinocerotis (Agaricomycetes), as an Antiulcer Agent.

International journal of medicinal mushrooms
The aim of this study was to determine the antiulcer activity of Lignosus rhinocerotis in rats. A total of 48 Sprague-Dawley rats were used in ethanol-induced, aspirin-induced, and water immersion-restraint stress-induced ulcer models. Rats were equa...

Application of artificial neural networks to link genetic and environmental factors to DNA methylation in colorectal cancer.

Epigenomics
AIMS: We applied artificial neural networks (ANNs) to understand the connections among polymorphisms of genes involved in folate metabolism, clinico-pathological features and promoter methylation levels of MLH1, APC, CDKN2A(INK4A), MGMT and RASSF1A i...