Objectives This study aimed to examine the relationship between maternal conflict and psychological symptoms (depression and anxiety) as well as maternal role satisfaction among pregnant women. It ...

Background C-reactive protein (CRP) is commonly used to assess systemic inflammation, yet its prognostic value in acute ...

Background Antimicrobial resistance (AMR) is an escalating global health crisis being worsened by climate change. Studies of ...

Introduction Mental health is an urgent public health issue with social and economic relevance. Business families play a key ...

Objective Sarcopenia, defined by reductions in muscle mass and strength, increases the risk of adverse outcomes in patients with rheumatoid arthritis (RA)—driven in part by chronic inflammation—and is ...

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.

Using statistical analysis of surveys fielded during the U.S.-Israel airstrikes on Iran, researchers tracked real-time shifts ...

Abstract: This study compares the performance of Pytorch-based Deep Learning, Multiple Perceptron Neural Networks with Multiple Linear Regression in terms of software effort estimations based on ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Aromatic amines are used widely in industry as chemical ...

Funding mechanisms impact the cost effectiveness of the science conducted, as extramural NIH grants to universities excel at producing papers and citations, while intramural NIH hiring more ...

Abstract: The aim of this paper is to construct a model by both multiple linear regression and grey correlation analysis in order to improve the accuracy and depth of understanding of air quality ...

This study introduces an XGBoost-MICE (Multiple Imputation by Chained Equations) method for addressing missing data in mine ventilation parameters. Using historical ventilation system data from ...