Hemp fibre reinforced natural rubber bio-macromolecule based biodegradable engineered leather.

Out of the diverse industrial applications of hemp fibre, for the first time we report the development of a leather alternative (flexible composite) material by integrating hemp fibre, as a bio-reinforcement and natural rubber (latex) macromolecules, as a matrix. For developing such unique product, primarily, hemp fibre was extracted from the Canabinus sativa L., i.

A novel sensor-based digital instrument for assessment of quality of fibre extracted from banana pseudostem.

Banana () farming generates huge quantities of biomass, all of which goes to waste due to the non-availability of suitable technology for its commercial application. The potential solution to this issue could be the conversion of pseudo-stems into valuable assets by converting them into fibres for various textile and non-textile applications. The specific characteristics of banana pseudo-stem fibre i.

Wheat starch, gum arabic and chitosan biopolymer treatment of wool fabric for improved shrink resistance finishing.

The major concerns of today's textile wet processing are large use of chemicals and toxic effluents. Eco-friendly sustainable ways of textile processing which are safe to health and environment are receiving much attention. Wool fabric suffers from irreversible shrinkage during washing.

Non-ischemic endocardial scar geometric remodeling toward topological machine learning.

Scar tissues have been important factors in determining the progression of myocardial diseases and the development of adverse cardiac failure outcomes. Accurate segmentation of the scar tissues can be helpful to the clinicians for risk prediction and better evaluation of cardiovascular diseases. Our goal is to apply topology data analysis toward machine learning algorithms to confirm the geometry of scar tissue, in addition to gaining better visualization and quantification of the scar tissue present.

An Automated Method for Detecting the Scar Tissue in the Left Ventricular Endocardial Wall Using Deep Learning Approach.

Background: Image evaluation of scar tissue plays a significant role in the diagnosis of cardiovascular diseases. Segmentation of the scar tissue is the first step towards evaluating the morphology of the scar tissue. Then, with the use of CT images, the deep learning approach can be applied to identify possible scar tissue in the left ventricular endocardial wall.

C3G dynamically associates with nuclear speckles and regulates mRNA splicing.

C3G (Crk SH3 domain binding guanine nucleotide releasing factor) (Rap guanine nucleotide exchange factor 1), essential for mammalian embryonic development, is ubiquitously expressed and undergoes regulated nucleocytoplasmic exchange. Here we show that C3G localizes to SC35-positive nuclear speckles and regulates splicing activity. Reversible association of C3G with speckles was seen on inhibition of transcription and splicing.

C3G shows regulated nucleocytoplasmic exchange and represses histone modifications associated with euchromatin.

C3G (RapGEF1) is a ubiquitously expressed guanine nucleotide exchange factor that functions in signaling pathways regulating cell proliferation, apoptosis, and actin reorganization. It is essential for differentiation and early embryonic development in mice. Overexpressed C3G shows predominant cytoplasmic localization, but endogenous C3G is a component of nuclear fractions in a variety of cell types.

Development of PCR-based technique for detection of purity of Pashmina fiber from textile materials.

Pashmina fiber is one of major specialty animal fiber in India. The quality of Pashmina obtained from Changthangi and Chegu goats in India is very good. Due to restricted availability and high prices, adulteration of natural prized fibers is becoming a common practice by the manufacturers.