The enteric nervous system (ENS), the largest division of autonomic nervous system, is a tantalizing frontier in neuroscience. With the advent of single-cell transcriptomics, the ENS has been ...

Astronomers have successfully charted a colossal cluster of galaxies, extending billions of light years. This unprecedented exploration into cosmic structures could provide new insights into the ...

Essentially, a recovery cluster is a strength training set broken into smaller efforts with quick resets between. Instead of grinding through 12 straight reps where your form suffers by the end, you ...

Avoiding the formation of unwanted clusters of similar elements when dividing data into groups is of great importance for the analysis of medical data. Psychologists and computer scientists from ...

Abstract: Point cloud clustering is a promising method for 3D surface defect diagnosis in manufacturing but requires manual clustering parameter selection, reducing usability. This paper proposes an ...

IGUA is a method for high-throughput content-agnostic identification of Gene Cluster Families (GCFs) from gene clusters of genomic and metagenomic origin. It performs three clustering iteration to ...

Abstract: The density peaks clustering (DPC) algorithm is a density-based clustering method that effectively identifies clusters with uniform densities. However, if the datasets have uneven density, ...

1 College of Electronic Engineering, Chengdu University of Information and Technology, Chengdu, China. 2 CMA Cloud-Precipitation Physics and Weather Modification Key Laboratory (CPML), Beijing, China.