Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.

Researchers from South Korea improved solar panel dust detection by using SMOTE and stable diffusion (SD) augmentation, with SD boosting detection accuracy from 76.5% to 98.9% while preserving spatial ...

Virginia consumer sentiment rose in early 2026, led by stronger expectations, according to the latest survey from Roanoke ...

Background People living with HIV (PWH) are at increased risk of cardiovascular disease; however, evidence from Asian populations remains limited. We evaluated the prevalence and characteristics of ...

Background Psoriatic disease has a complex effect on bone metabolism, resulting in both pathological bone formation and bone resorption. However, microstructural changes in cortical and trabecular ...

Background Gut microbiota dysbiosis is linked to autism spectrum disorder (ASD) in children. However, the role of bacterial ...

As the population ages, China will face an ever-increasing burden from CS. Strategies targeting elder population and high-risk groups should be prioritized in the establishment of management related ...

Abstract: In this study, we suggested an improved ratio estimator for stratification utilizing an auxiliary variable in simple random sampling. Theoretically, bias ...

Heat-related ED visits for extreme heat were generally higher in early summer than in late summer, suggesting the necessity to consider temporal changes in heat risk when developing nuanced and ...

Abstract: Deep Forest, a powerful alternative to deep neural networks, has gained much attention due to its advantages, such as low complexity, minimal hyperparameter requirements, and strong ...