To protect driver privacy, the U.S. Federal Trade Commission has finalized an order restricting how General Motors and its ...

Introduction Unsafe abortions contribute to 10% of preventable maternal deaths in Africa, with higher rates in humanitarian ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Often divided into primary and secondary research, market research helps businesses identify key factors influencing their market, including the competitive landscape, target audience characteristics, ...

Federal statistical agencies face increasingly overt politicization by the Trump Administration on top of chronic underinvestment, uncertainty, and recent and proposed budget cuts, all of which ...

The evolution of mixed methods research in psychological science marks a pivotal shift from the historically entrenched divide between qualitative and quantitative paradigms. Mixed methods emerged in ...

The processes used by the Bureau of Labor Statistics (BLS) to collect data for the jobs report have been under scrutiny after last week's disappointing jobs report, and one of the agency's former ...

Online data has the potential to transform how researchers and companies produce election forecasts. Social media surveys, online panels, and even comments scraped from the internet can offer valuable ...

Accurate thermochemical data with sub-chemical accuracy (i.e., within ±1 kcal/mol from sufficiently accurate experimental or theoretical reference data) is essential for the development and ...

In previous posts I shared here and elsewhere, I discussed both qualitative research and quantitative research and in this post, I talk about mixed methods research. I also created an illustrative ...

1 Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu, Saudi Arabia. 2 Computer Science Department, Faculty of Science, Tanta University, Tanta, Egypt ...

A key challenge, and opportunity, of large language models (LLMs) is bridging the gap between their training data and the vast amount of unfamiliar information they encounter in real-world ...