Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its ...

Traditional approaches to analytical method optimization (e.g., univariate and “guess-and-check”) can be time-consuming, costly, and often fail to identify true optima within the parameter space.

Background Heart failure (HF) imposes a major health burden on women. While traditional (well-established) risk factors are well studied, less attention has been given to psychosocial, environmental ...

ABSTRACT: The Edinburgh Postnatal Depression Scale (EPDS) is widely used in epidemiological, research, and clinical contexts. Although it has clearly established cut-off points, its psychometric ...

The HBR Playbook on overcoming change fatigue and positioning your people for agility. by Ania W. Masinter The amount and pace of organizational change today is staggering. Gartner research found that ...

I am working on an analysis where my biological variable of interest is continuous rather than a categorical condition. I noticed that the importRdata() function expects a designMatrix with a ...

MicroCloud Hologram Inc. is advancing the field of quantum computing through its research into Continuous Variable Quantum Neural Networks (CV-QNN), which aim to embed Variational Quantum Circuits in ...

Abstract: Surrogate-assisted evolutionary algorithms for addressing expensive optimization problems with both continuous and categorical variables (EOPCCVs) are still in the early stages of ...

Ann Blakely is the managing principal of Baker Tilly's digital solutions practice, with a focus on modernizing legacy business models. With the pace of technological advancements growing exponentially ...