ABSTRACT: Physics-informed deep learning has drawn tremendous interest in recent years to solve computational physics problems, whose basic concept is to embed physical laws to constrain/inform neural networks, with the need of less data for training a reliable model.This can be achieved by incorporating the residual of Networking:Enterprise Networ
Surgical site infections Reusable Masks with atypical mycobacteria are uncommon but not unheard of.Atypical mycobacteria are abundantly present in soil and water and can cause infections when the immune system is compromised.We present four cases of atypical mycobacterial infections at the port site following laparoscopy.In the first case, a laparo
Quantified residence-time distribution (RTD) provides a numerical characterization of mixing in the continuous casting sensor wire tundish-thus allowing the engineer to better understand the metallurgical performance of the reactor.This study describes a computational fluid dynamic (CFD) modeling study for analyzing the flow pattern and the residen
Abstract Understanding the role of human gut microbiota in health and disease requires 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 16S rRNA gene.We assess
The nematode Caenorhabditis elegans is one of the premier experimental model organisms today.In the laboratory, they display characteristic development, fertility, and behaviors in a two dimensional habitat.In nature, however, C.elegans is found in three dimensional Transfer Commode Chairs environments such as rotting fruit.To investigate the biolo