Introduction Mitochondrial dysfunction and disrupted cerebral energy metabolism have been increasingly linked to the pathophysiology of schizophrenia. Preclinical studies suggest that certain atypical ...

Introduction Intimate partner violence (IPV) affects an estimated 27% of women globally, with consequences spanning mental, ...

Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...

Objectives: This study aimed to evaluate the effectiveness of value-based care (VBC) interventions in slowing the progression of chronic kidney disease (CKD), as measured by changes in estimated ...

The study reveals a fourfold increase in hypertension risk for children in e-waste regions, emphasizing the health impacts of ...

Background Globally, adolescent mothers and their children have poorer health outcomes. However, little is known regarding ...

Introduction The Sport Mental Health Assessment Tool-1 (SMHAT-1) was developed to screen elite athletes for mental health concerns. Previous work demonstrated high false negative rates (FNRs) for the ...

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

This paper would be of interest to researchers studying cognitive control and adaptive behavior, if the concerns raised in the reviews can be addressed satisfactorily. Understanding how task knowledge ...

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...

Abstract: 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 ...