We propose a new method for reconstruction of sparse signals with and without noisy
perturbations, termed the subspace pursuit algorithm. The algorithm has two important …

Learning acoustic models directly from the raw waveform data with minimal processing is
challenging. Current waveform-based models have generally used very few (~2) convolutional …

Since the beginning of 2020, coronavirus disease 2019 (COVID-19) has spread throughout
China. This study explains the findings from lung computed tomography images of some …

Genomic instability is a characteristic of most cancer cells. It is an increased tendency of
genome alteration during cell division. Cancer frequently results from damage to multiple genes …

How can one build a distributed framework that allows efficient deployment of a wide spectrum
of modern advanced machine learning (ML) programs for industrial-scale problems using …

Heart disease is the leading cause of death worldwide. A key pathogenic factor in the
development of lethal heart failure is loss of terminally differentiated cardiomyocytes. However, …

One can view plants as a reference library of compounds waiting to be searched by a
chemist who is looking for a particular property. Taxol, a complex polyoxygenated diterpene …

3D bioprinting technology can rapidly process cell-loaded biomaterials to prepare personalized
scaffolds for repairing defective tissues, tissue regeneration, and even printing tissues or …

Biomimetic materials have emerged as attractive and competitive alternatives for tissue
engineering (TE) and regenerative medicine. In contrast to conventional biomaterials or synthetic …

Microplastics (MPs) are emerging pollutants that act as a carrier of toxic pollutants, release
toxic substances, and aggregate in biota. The adsorption behavior of MPs has recently …