Our ability to efficiently sample conformational transitions between two known states of a biomolecule using collective variable (CV)-based sampling depends strongly on the choice of the CV. We ...

Introduction Non-adherence to cardiovascular disease and diabetes treatments contributes to suboptimal clinical outcomes and higher cost. The initial medication adherence (IMA) intervention is a ...

Effective and noninvasive whale and biodiversity monitoring is now possible with the help of citizen scientists, opening up ...

A two-stage stratified sampling design is employed to guarantee representation across regions, including both urban and rural areas. The first even digital sampling frame in Armenia was used to ...

Computing capability demand has grown massively in recent years. Modern GPU chips are designed to deliver extreme performance for graphics and for data-parallel general purpose computing workloads ...

We present an unsupervised optical flow estimation method by proposing an adaptive pyramid sampling in the deep pyramid network. Specifically, in the pyramid downsampling, we propose a Content-Aware ...

Power BI offers four main sampling methods to create samples from your data sources: random, top N, stratified, and cluster. Each method has its own advantages and disadvantages depending on the ...

Setup Rancher version: v2.12 Rancher UI Extensions: Browser type & version: Any Describe the bug When creating a HelmOp App Bundle using a Tarball source and assigning the local cluster as a target, ...

Methods A multicentre cluster randomised-controlled trial in patients with advanced COPD was performed. The intervention group received an 1.5 hours structured nurse-led ACP-session. Outcomes were: ...

Solving the ground state of quantum many-body systems remains a fundamental challenge in physics and chemistry. Recent advancements in quantum hardware have opened new avenues for addressing this ...