Discover how Monte Carlo analysis helps investors assess risk and make informed decisions. Explore its role in generating ...

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 ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Background The limited literature provides minimal information on clinical outcomes among patients undergoing percutaneous coronary intervention (PCI) under different healthcare funding systems, ...

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .

Background Current diagnosis of antiphospholipid syndrome (APS) relies on antiphospholipid antibodies (aPL) testing, but false-positive aPL results and asymptomatic aPL carriers pose significant ...

Abstract: The complexity of coupled multivariate data in industrial settings often limits the effectiveness of principal component analysis (PCA) in revealing patterns and structures in the data. In ...

The biopharmaceutical sector is transitioning from reactive off-line quality control to a proactive quality by design (QbD) framework. Process analytical technology (PAT) enables this shift through ...

Statistical analysis is essential in research. As modern production processes evolve, the increasing volume of data needing processing has demanded techniques like multivariate analysis for ...