Spotting financial statement fraud is crucial. Learn key signs and detection methods to protect your investments from risky ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...

Objectives To develop and validate educational clinical vignettes (CVs) based on real-life patients with serious pathology from the disciplines of oncology, internal medicine and orthopaedics that are ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

White analytical chemistry (WAC) integrates environmental, performance, and economic factors in method evaluation, aligning with green chemistry principles. The Red Analytical Performance Index (RAPI) ...

The Workshop is planned to highlight, review, and discuss issues related to the implementation of XRF methodologies, including addressing recommendations for compliance to technical requirements of ...

Validation of an analytical method provides evidence that when correctly applied, it produces results that are fit for purpose, thereby demonstrating the effectiveness of the method with an acceptable ...

Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...

Laboratory-based design verification testing (DVT) of combination products and medical devices must be performed to demonstrate that the device meets the performance requirements that were set in the ...