Abstract: In this paper, we introduce a classical algorithm for random sampling of permutations, drawing inspiration from the Steinhaus-Johnson-Trotter algorithm. Our approach takes a comprehensive ...

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

There are many methods available to fit random-effects meta-analysis. However, until 2024, the only option available in RevMan has been the DerSimonian and Laird random-effects method. This method is ...

Abstract: This paper proposes a new perspective on the relationship between the sampling and aliasing. Unlike the uniform sampling case, where the aliases are simply periodic replicas of the original ...

Before delving into debugging, it is critical to have a solid understanding of the basics of SystemVerilog constraint randomization. Constraints are used to define the valid range of values for ...

This method successfully improves upon previous randomization methods and was recently recommended for use in stroke research. 2 This type of randomization approach has not only been used in stroke ...

The World Health Organization (WHO) warns that air pollution is of great concern and impacts health in many ways. To better the situation, it’s necessary to focus on air quality. However, when ...

Marine water resources (including seawater and pore-water) provide important information for understanding the marine environment, studying marine organisms, and developing marine resources. Obtaining ...