Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Michael Boyle is an experienced ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

The goal of bearproofing your camp is to minimize odors that might attract bears, and to set up safe storage areas for food and garbage that are out of reach of bears and are away from your sleeping ...

The best way to pay off high-interest credit card debt comes down to personal preference. If you're motivated by saving as much money as possible down to the last penny, you'll probably prefer the ...

Abstract: Hyperspectral anomaly detection (HAD) aims at effectively separating the anomaly target from the background. The low-rank and sparse matrix decomposition (LRaSMD) technique has shown great ...

Abstract: Recent advancements in deep learning for semantic communication have been significant, yet fixed-length encoding techniques struggle to capture the complex and variable nature of semantic ...

A few years ago, I had lunch with the head of a major motion picture studio, who declared that his central problem was not finding good people—it was finding good ideas. Since then, when giving talks, ...

The decomposition kinetics of four synthetic alkaline earth metal carbonates (MgCO3, CaCO3, SrCO3 and BaCO3) was studied under non-isothermal conditions from thermo-gravimetric measurements as ...

Grounding exercises help you refocus on the present to relieve feelings of anxiety, stress, depression, or PTSD. Physical grounding techniques use your five senses to help you move through distress by ...

This valuable study analyzes aging-related chromatin changes through the lens of intra-chromosomal gene correlation length, which is a novel computational metric that captures spatial correlations in ...

This repository offers a suite of deep learning-based reduced order models (ROMs) for parametric partial differential equations (PDEs). These models are developed in PyTorch and integrated with PyMOR, ...