This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...

The surplus consists largely of degenerate features—multiple peaks spawned by one metabolite through adducts, in-source ...

Abstract: The semi-supervised multiview clustering (MVC) methods based on non-negative matrix factorization (NMF) have attracted considerable attention due to their ability to utilize partial ...

Abstract: Nonnegative matrix factorization (NMF) is a powerful tool for signal processing and machine learning. Geometrically, it can be interpreted as the problem of finding a conic hull, which ...

Few researchers have addressed the issue of the causality between public deficit and economic growth. Previous work has ...

A paper written by University of Florida Computer & Information Science & Engineering, or CISE, Professor Sumit Kumar Jha, Ph.D., contains so many science fiction terms, you'd be forgiven for thinking ...

A lot of making goes on in this community these days, but sometimes you’ve just gotta do some old fashioned hacking. You might have grabbed an old Speak and Spell that you want to repurpose ...

A comprehensive implementation of various Matrix Decomposition Techniques from the lens of Linear Algebra to produce efficient computing of SVD, PCA, Feature Selection & Data Analysis in Python. To ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

What is the minimal number of residue types required to form a structured protein? This question is important for understanding protein modeling and design. Recently, an experimental finding by Baker ...

The intersection of immunology and materials science is causing a paradigm change in the field of vaccine delivery. In the past, vaccinations relied on ...