We hypothesized that human chorionic gonadotropic (hCG) could replace LH in the maturation media for buffalo oocytes, and hCG administration before ovum pick-up (OPU) enhances in-vitro development of buffalo oocytes. Objectives were 1) to investigate the effect of hCG supplementation on nuclear maturation, oocyte development, and granulosa cell mRNA abundance of genes related to growth and antioxidant pathways and 2) to determine the effect of hCG administration before OPU on in-vitro oocyte development. In Experiment 1, buffalo oocytes retrieved from slaughterhouse ovaries were maturated in the media supplemented with 0.
View Article and Find Full Text PDFThe eggshell quality traits in avian species, including Yunnong chickens (YN), are crucial for commercial and breeding purposes. The use of advanced biotechnologies, such as gene sequencing, has become increasingly common for identifying genetic markers and comparing specific traits in livestock. However, genetic markers related to eggshell traits in YN chickens remain unexplored.
View Article and Find Full Text PDFModel optimization is a problem of great concern and challenge for developing an image classification model. In image classification, selecting the appropriate hyperparameters can substantially boost the model's ability to learn intricate patterns and features from complex image data. Hyperparameter optimization helps to prevent overfitting by finding the right balance between complexity and generalization of a model.
View Article and Find Full Text PDFBackground: Allogeneic hematopoietic cell transplantation (allo-HCT) is a potential cure for many hematological malignancies. Historically, older adults were not considered eligible for allo-HCT due to increased toxicity and mortality concerns. This systematic review and meta-analysis aim to explore the outcomes of allo-HCT in patients aged 70 years or older.
View Article and Find Full Text PDFThe current research focused on extraction optimization of bioactive compounds from Strychnos potatorum seeds (SPs) using an eco-friendly glycerol-sodium acetate based deep eutectic solvent (DES). The optimization was accomplished using response surface methodology (RSM) and artificial neural networking (ANN). The independent variables included shaking time (A), temperature (B), and solvent-to-feed ratio (C), and the responses were the extraction yield, total phenolic content (TPC), total flavonoid content (TFC), antioxidant activity (DPPH), and antidiabetic activity (α-amylase inhibitory activity).
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