Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

This repository contains data and scripts used to generate results presented in [citation]. Please note that some scripts may need small adjustments to run depending on local setup. The accurate ...

A faith-based investment firm partnered with S&P Dow Jones Indices to create a new index and exchange traded fund (ETF) that will cater to evangelical Christian investors. Bountiful Financial and S&P ...

Network-based contagion models are widely used to describe the spread of epidemics, computer viruses and opinions, yet estimating their states, parameters and hyperparameters remains challenging, ...

Publicis Group is expanding its network once again, this time with the acquisition of p-value Group — a full service medical communications group. The healthcare agency announced the acquisition ...

Catalysis plays an important role in many fields, from industrial chemistry to the molecular biology of the cell. The efficiency of a catalyst for accelerating a reaction strongly depends on its ...

ABSTRACT: Natural resource inventories often aim to acquire desired information in the least amount of time while minimizing costs. Within Minnesota, USA due to access issues and costs, in particular ...

• When used with RT-PCR tests (a molecular test that detects genetic material in COVID-19 using a technique called reverse transcription polymerase chain reaction), self-collected gargle and deep ...

1 Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark 2 Faculty of Animal Science, Vietnam National University of Agriculture, Hanoi, Vietnam Stochastic simulation ...

There is a long-standing idea that choices influence evaluation: options we choose are re-evaluated to be better than they were before the choice. There has been some debate about this finding, and ...

Denoising Diffusion Probabilistic Models (DDPMs) have gained great attention in adversarial purification. Current diffusion-based works focus on designing effective condition-guided mechanisms while ...