The Continuous Reachability Analyzer (CORA) is a MATLAB-based toolbox designed for the formal verification of cyber-physical systems through reachability analysis. It offers a comprehensive suite of ...

This is the official implementation of our paper "Riemannian Optimization on Relaxed Indicator Matrix Manifold" . We propose a fundamental manifold in machine learning—the Relaxed Indicator Matrix ...

Abstract: Incorporation of impedance (Z) source network within ultra sparse matrix converter (USMC) overcomes the limited range of output voltage, load power factor and dynamic load changes. Using ...

The interactions between cells and their direct environment are crucial for cell fate. Despite recent advances, the highly complex web of biochemical and mechanical contributions is poorly understood.

Brain structural covariance network (SCN) can delineate the brain synchronized alterations in a long-range time period. It has been used in the research of cognition or neuropsychiatric disorders.

Understanding how brains process sensory signals in natural environments is one of the key goals of twenty-first century neuroscience. While brain imaging and invasive electrophysiology will play key ...

The expansion and differentiation of human mesenchymal stem cells (hMSCs), an important cell type that is frequently used in stem-cell–based therapies, are regulated by interactions with their local ...

Several proprietary software packages and hardware and software solutions are available for measuring zebrafish larval movement in multiwell plates by using similar centroid tracking and pixel ...

Extracellular matrix expansion may be a fundamental feature of adverse myocardial remodeling, it appears to be treatable, and its measurement may improve risk stratification. Yet, the relationship ...