The way urban areas are designed could impact cardiometabolic health. However, findings in this research area are often abstract, which restricts their implementation in urban design practice. To ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...

In 2023, a multivariate normality test based on a chi-square approximation was developed. This method assumes independence among Gaussian random variables, and defines the test statistic, denoted by Q ...

Background: Stroke patients have a high incidence of Post-traumatic stress disorder (PTSD). Previous studies on PTSD in stroke patients mainly focus on the risk factors and possible harms caused by ...

The temporal and spatial irregularity of plant diseases results in insufficient image data for certain diseases, challenging traditional deep learning methods that rely on large amounts of manually ...

Implement CER Model & Single Index Model with Point Estimation & Interval Estimation. Use Classical method & Non-parametric Bootstrap (Percentile method, T method).

ABSTRACT: Singh, Gewali, and Khatiwada proposed a skewness measure for probability distributions called Area Skewness (AS), which has desirable properties but has not been widely applied in practice.

In Arabica coffee plant breeding, it is essential to evaluate a large number of traits. Some of the most relevant include yield, resistance/tolerance to biotic and abiotic stresses, grain size, fruit ...