Objectives Functional foods have demonstrated potential in preventing gastrointestinal and musculoskeletal (osteo-related) ...

Recruiting participants for injury and violence-related studies can be challenging. Online qualitative data collection can ...

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

Tele-neuropsychology (t-NPs) has emerged as a crucial area of research, particularly highlighted during the COVID-19 pandemic when remote cognitive assessment and intervention became necessary due to ...

Abstract: This paper presents a comprehensive data reliability testing framework for evaluating synthetic biometric data, addressing privacy concerns in fingerprint and iris recognition systems. This ...

This document has been published in the Federal Register. Use the PDF linked in the document sidebar for the official electronic format.

BRUSSELS - In a landmark ruling today, the European General Court upheld the European Commission’s adequacy decision on the EU-U.S. Data Privacy Framework (DPF ...

Abstract: • Component reliability data can be collected for assessing past performance and predicting the future performance. • Consistent data collection is essential since it creates input data to ...

The Bureau of Labor Statistics is reducing or ending the collection of data that is used to calculate the Consumer Price Index. By Ben Casselman Federal Reserve policymakers have stressed that their ...

Background and objective Prior studies have suggested that patients with premature ventricular complexes (PVCs) may have an ...

The cutbacks would have “minimal impact,” the government said, but economists warned of reduced confidence in inflation data produced by a struggling statistical system. By Ben Casselman The Bureau of ...

Uptime Institute’s 7th annual outage report reveals networking issues, the challenges of infrastructure complexity, and configuration-related mishaps impact data center reliability. Power-related ...