The latent profile analysis was used to identify the self-efficacy groups of young and middle-aged patients with aortic ...

This study examines how evolutionary relaxation and functional change of INSL3 and RXFP2 relate to natural cryptorchidism in ...

Bhangu, J. , Sweetman, S. , Williams, G. and Shuttleworth, G. (2025) Patient Footwear Contamination in Ophthalmic Day Surgery: A Prospective Observational Study. International Journal of Clinical ...

This paper systematically analyzes the market dynamics of the pet industry in China and globally based on multiple linear regression and ARIMA models. First, for the Chinese market, this paper ...

Background Stroke after transcatheter aortic valve implantation (TAVI) is an infrequent but serious complication with ...

Background Community resilience is a relevant concept in public health, but its empirical relationship with health outcomes ...

This study presents valuable findings from a spatiotemporal analysis of arbovirus case notification data from 2013 to 2020 in Brazil, reporting associations between covariates representing potential ...

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to language for statistics, but the "Tidyverse" has given the language a serious ...

Abstract: Multimodal sentiment analysis is an active research area that combines multiple data modalities, e.g., text, image and audio, to analyze human emotions, and benefits a variety of ...