Natural cork and its agglomerates as substitutes for high-density expanded polystyrene foams in sandwich cores

Adjusted Density High-strength Concrete Using Expanded Polystyrene Beads

This paper reports the results of an experimental investigation into the effects of incorporating varying amounts of expanded polystyrene beads on the engineering properties of high-strength concrete. It was observed that a density reduction of 8.3% caused compressive strength, tensile strength and modulus of elasticity to reduce by 48%, 39% and 15%, respectively. Drying shrinkage was marginall...

Recycling of Expanded Polystyrene Using Natural Solvents

Natural Cork Agglomerate Employed as an Environmentally Friendly Solution for Quiet Sandwich Composites

Carbon fiber-synthetic foam core sandwich composites are widely used for many structural applications due to their superior mechanical performance and low weight. Unfortunately these structures typically have very poor acoustic performance. There is increasingly growing demand in mitigating this noise issue in sandwich composite structures. This study shows that marrying carbon fiber composites...

Oxidized Xanthan Gum and Chitosan as Natural Adhesives for Cork

Natural cork stopper manufacturing produces a significant amount of cork waste, which is granulated and combined with synthetic glues for use in a wide range of applications. There is a high demand for using biosourced polymers in these composite materials. In this study, xanthan gum (XG) and chitosan (CS) were investigated as possible natural binders for cork. Xanthan gum was oxidized at two d...

High -density lipoprotein cholesterol as a predictor for diabetes mellitus

Background: Diabetes is a prevalent chronic disease around the world. To evaluate risk of diabetes comprehensively, we developed a score model for the risk prediction with HDL-C as a protective factor. Methods: We extracted physical examination data of 2728 individuals. The data contain 18 demographic and clinical variables. To identify the statistical significant feature variables, the backwa...