As the performance of a convolutional neural network is logarithmically proportional to the amount of training data, data augmentation has attracted increasing attention in recent years.Although the current data augmentation methods are efficient because they force the network to learn multiple parts of a given training image through occlusion or r
Developing Enzyme Immobilization with Fibrous Membranes: Longevity and Characterization Considerations
Fibrous membranes offer broad opportunities to deploy immobilized enzymes in new reactor and application designs, including multiphase continuous flow-through reactions.Enzyme immobilization is a technology strategy that simplifies the separation of otherwise soluble catalytic proteins from liquid reaction media and imparts stabilization and perfor
Abundance and composition of invertebrate-feeding leeches in relation to fish status in ponds
AbstractLeeches feeding on invertebrates are an important component of freshwater communities, including those dominated by fish, but the effects of fish on their abundance and distribution are not well explored.The relative densities and assemblage structure of two leech families, Erpobdellidae and Glossiphoniidae, were studied from May to August
Refining microbiome diversity analysis by concatenating and integrating dual 16S rRNA amplicon reads
Abstract Understanding the role of human gut microbiota in health and disease requires Cutters - Nail Cutters insights into its taxonomic composition and functional capabilities.This study evaluates whether concatenating paired-end reads enhances data output for gut microbiome analysis compared to the merging approach across various regions of the