Publications by authors named "M Zou"

Background: An increased risk of multiple secondary diseases has been observed in individuals with diabetes, which contributes to the growing economic burden. Few studies have established the connection of blood urea nitrogen/albumin (BAR) with diabetes, and its link to subsequent diabetic complications and mortality remains unclear. We aimed to explore the association of BAR with the onset of type 2 diabetes mellitus (T2DM) and its dynamic progression.

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Modified basalt microfiber-reinforced polyurethane elastomer composites were prepared by a semi-prepolymer method with two different silane coupling agents (KH550 and KH560) in this study. Infrared spectroscopy was used to quantify the degree of microphase separation and analyze the formation of hydrogen bonding in polyurethane. The interfacial surface and the morphology of fibers and composites from tensile fracture were examined by a scanning electron microscope.

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A generic and versatile CT Image Reconstruction (CTIR) scheme can efficiently mitigate imaging noise resulting from inherent physical limitations, substantially bolstering the dependability of CT imaging diagnostics across a wider spectrum of patient cases. Current CTIR techniques often concentrate on distinct areas such as Low-Dose CT denoising (LDCTD), Sparse-View CT reconstruction (SVCTR), and Metal Artifact Reduction (MAR). Nevertheless, due to the intricate nature of multi-scenario CTIR, these techniques frequently narrow their focus to specific tasks, resulting in limited generalization capabilities for diverse scenarios.

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The purpose of this study was to compare the effects of quinoa multigrain supplementation on glycemia and lipid metabolism among individuals with impaired glucose tolerance (IGT). In total, 207 participants diagnosed with IGT were randomly assigned to the quinoa group (QG; 100 g day, replacing about half of the total daily staple food), multiple whole grain group (WGG; 100 g day), or control group (CG) and followed for one year. Biomarkers were measured before and after the intervention.

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Elastomers are of great significance in developing smart materials for information encryption, and their unique self-healing and highly flexible properties provide innovative solutions to enhance security and anti-counterfeiting effectiveness. However, challenges remain in the multifunctional combination of mechanical properties, self-healing, degradability, and luminescence of these materials. Herein, a chemodynamic covalent adaptable network (CCAN)-induced robust, self-healing, and degradable fluorescent elastomer is proposed.

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