Association of Liver Fibrosis Markers with Mortality Outcomes in Patients with Chronic Kidney Disease and Coronary Artery Disease: Insights from the NHANES 1999-2018 Data.

Introduction: The objective of this research is to explore the possible link between markers of liver fibrosis and survival rates in a group of adults who have been diagnosed with both chronic kidney disease (CKD) and coronary artery disease (CAD).

Methods: The National Health and Nutrition Examination Survey (NHANES) data (1999-2018) for participants with both CAD and CKD were analyzed. The Fibrosis-4 Index (FIB-4), Nonalcoholic Fatty Liver Score (NFS), Forns index and Aspartate Aminotransferase/Alanine Aminotransferase (AST/ALT) ratio were identified as crucial biomarkers.

Lignin reinforced eco-friendly and functional nanoarchitectonics materials with tailored interfacial barrier performance.

Exploring innovative and sustainable routes for the production of biodegradable biomass-based materials is critical to promote a circular carbon economy and carbon neutrality goals. Fossil-based non-biodegradable plastic waste poses a nonnegligible threat to humans and the ecological environment, and biomass-based functional materials are becoming increasingly viable alternatives. Lignin, a naturally occurring macromolecular polymer, is green and renewable resource rich in aromatic rings, with biodegradability, biocompatibility, and excellent processability for eco-friendly composites.

Hierarchical Synchronization Estimation of Low- and High-Order Functional Connectivity Based on Sub-Network Division for the Diagnosis of Autism Spectrum Disorder.

Functional connectivity network (FCN) calculated by resting-state functional magnetic resonance imaging (rs-fMRI) plays an increasingly important role in the exploration of neurologic and mental diseases. Among the presented researches, the method of constructing FCN based on Matrix Variate Normal Distribution (MVND) theory provides a novel perspective, which can capture both low- and high-order correlations simultaneously with a clear mathematical interpretability. However, when fitting MVND model, the dimension of the parameters (i.