Sampling (or sample) bias is a widespread concern in scientific research, across several disciplines. The concept of sampling bias originated in statistical studies. The consequence of a biased sample ...

Steven Dietz. We want to believe that serendipity brings us together, but is that just a myth? Mining the comedy of missed connections, This Random World asks the serious question of how often we ...

Taking a wild swing at the medical fraternity, it seems, has become part-and-parcel of this New Year celebrations in Malaysia. Doctors, hospitals, regulatory bodies, insurance companies and the ...

Abstract: Random number generation is essential for applications in simulation, numerical analysis, and data encryption. The ubiquitous presence of system-on-chip (SoC) field-programmable gate array ...

Oct 1 (Reuters) - The Pentagon plans to impose strict nondisclosure agreements and random polygraph testing for scores of people in its headquarters, including many top officials, the Washington Post ...

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 ...

Rory McIlroy is back in the spotlight, but not for his performance at the PGA Championship. On Friday, it was revealed that his driver had been deemed "non-conforming" by the USGA just days before the ...

Introduction Women with high-risk pregnancies (eg, pre-eclampsia, imminent preterm birth) are often hospitalised due to the need for foetal and maternal monitoring. They are monitored for 30–45 min up ...

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

Properties from random matrix theory allow us to uncover naturally embedded signals from different data sets. While there are many parameters that can be changed, including the probability ...