Abstract: Digital LDOs are gaining attention for their operation with small output capacitance. Adaptive sampling with a large frequency scaling ratio is required for fast transient response with ...

A research team led by Prof. PAN Ding, Associate Professor from the Departments of Physics and Chemistry, and Dr. LI Shuo-Hui, Research Assistant Professor from the Department of Physics at the Hong ...

This issue proposes the creation of an extensive and well-organized examples gallery for the scikit-sampling library. Currently, the usage examples are limited. A comprehensive gallery will ...

Online data has the potential to transform how researchers and companies produce election forecasts. Social media surveys, online panels, and even comments scraped from the internet can offer valuable ...

Reading through issues and source, sampling seems to be supported but the documentation in the repo's root doesn't mention "sampling" explicitly Adding examples for these would make it more apparent ...

Agricultural soil testing is critical to determining soil’s nutrient concentration and variability across your fields. It is ideal to test your fields’ soil at least every two to three years to inform ...

ABSTRACT: This sociological study looks at how marijuana use affects college students’ academic performance in the Pakistani city of Mardan. The study was specifically designed to determine how ...

Accounting for interindividual variability through within-individual sampling required 40× fewer pairs of samples to achieve statistical significance with 4× to 5× greater effect size at significance.

Diffusion processes have emerged as promising approaches for sampling from complex distributions but face significant challenges when dealing with multimodal targets. Traditional methods based on ...

A variety of statistical tools can detect potential breaches in the integrity of elections. These techniques draw on tools from many fields, including pure mathematics, statistics, and machine ...