Background Foodborne diseases are an important cause of global morbidity and mortality, particularly among children who often ...

Testing random outcomes teaches principles that apply wherever fairness matters. Random outcomes shape more of our world than ...

Introduction: Anxiety and depression are common among hypertensive patients and can lead to significant health complications. This study aimed to use Extreme Gradient Boosting (XGB) machine learning ...

This issue proposes adding cluster sampling capabilities to the scikit-sampling library. Cluster sampling is a probability sampling technique where the population is divided into naturally occurring ...

To find out more about the Who.is.making.these Instagram account, we got in touch with the page's creator, Jimi. He was kind enough to have a chat with Bored Panda and explain exactly how this account ...

1 Wellbeing Research Centre, Faculty of Social Sciences and Liberal Arts, UCSI University, Kuala Lumpur, Malaysia 2 School of Marxism, Nanjing Institute of Technology, Nanjing, China Objective: This ...

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

Cluster sampling divides a population into smaller clusters, simplifying large-scale research. Cluster sampling is a probability sampling method where researchers divide a population into smaller ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...