Introduction: Framed within the technology acceptance model, this study examines how multimodal literacy, self-efficacy, and university support affect students’ attitudes toward artificial ...
Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational ...
Before I fell for running, I thought the hardest thing about the sport was the fast stuff: the speedwork, the sprints, and the intervals. And I do find that running fast—making my lungs beg for air, ...
The course will introduce more advanced uses of multivariable statistics in the social sciences. This unit then covers several methods that are often employed across the social sciences. These will ...
Objectives The central nervous system is a significant extraglandular target in primary Sjögren’s syndrome (pSS), often ...
Abstract: Some problems arise in analyzing massive complex data consisting of multivariate response variables and a large number of multicollinear predictor variables, especially when the sample sizes ...
Abstract: This study identifies the determinants of cloud computing adoption and its effect on the performance of Sri Lankan small and medium-sized enterprises (SMEs). The ...
Background Current microbiome-based therapeutics face two prominent issues: the limited clinical efficacy of probiotics and the significant variability in the efficacy of microbiota transplantation ...