The use of deep machine learning methods for semantic classification of city mesh models is one of the current trends in geoscience development.Thanks to the thriving development of Convolutional Neural Networks here (CNNs) it is now achievable to conduct fully automated process of building aforementioned 3D model by means of photogrammetric techni
Biocompatible and bioactive PVA/Sericin/Chitosan nanofibrous wound dressing matrix
This work focuses on preparation of electrospun matrix for wound dressing application by utilizing sericin, chitosan and silver nanoparticles in PVA nanofibers.Sericin (SS) is extracted from silk cocoon (Bombyx Mori) by alkali degumming bostik mvp method.The extracted sericin is characterised by UV-visible Spectroscopy and FT-IR.Then, individual st
Glycerokinase activity in human brown adipose tissue
Brown adipose tissue (BAT) is known to be responsible for heat production in newborn and adult hibernating mammals.In rats and mice, BAT has been demonstrated to possess a much higher glycerokinase activity than white adipose tissue (WAT).It has been speculated that this high activity may cause the futile cycle of triglyceride breakdown and resynth
Evaluation of a Combined System Based on an Upflow Anaerobic Sludge Blanket Reactor (UASB) and Shallow Polishing Pond (SPP) for Textile Effluent Treatment
Abstract Color removal read more from textile effluents was evaluated using a laboratory-combined process based on an upflow anaerobic sludge blanket (UASB) reactor followed by a shallow polishing pond (SPP).The anaerobic reactor was fed with a real textile effluent, diluted 10-times in a 350 mg/L solution of pre-treated residual yeast extract from