A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...
Discover how Monte Carlo analysis helps investors assess risk and make informed decisions. Explore its role in generating ...
Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
Objective This study aims to evaluate relationships between self-reported fine motor ability and quality of life (assessed by life satisfaction and life problems) from people with spinal cord injury ...
Introduction Hypertension programmes have expanded substantially in low-income and middle-income countries, yet treatment and control rates remain insufficient. Programme scale-up may lead to ...
Bootstrap Implementation of Mardia’s K² Test and Performance Comparison with Royston’s H Test ()
School of Psychology, Universidad Autónoma de Nuevo León, Monterrey, Mexico. The R script consists of two sections, each included in a different appendix, and is available as a Word file ...
ABSTRACT: This article has two objectives. The first is to develop an R script that performs Mardia’s K2 test for assessing multivariate normality (MVN), using both its original asymptotic formulation ...
Background Teenagers widely use digital devices for information sharing and other daily activities. Their heavy reliance on smartphones and tablets may contribute to repetitive-use injuries of the ...
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 ...
Background Gut microbiota dysbiosis is linked to autism spectrum disorder (ASD) in children. However, the role of bacterial ...
Due to high demand for this course, we operate a staged admissions process with multiple selection deadlines throughout the year, to maintain a fair and transparent approach. Explore our campus, meet ...
Abstract: Multivariate time-series forecasting plays a crucial role across diverse domains. The inherent variability of spatiotemporal dependencies among these variables introduces substantial ...
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