Endometrial cancer is the most common gynecologic cancer, with more than 69,000 cases diagnosed in the U.S. in 2025 and ...

Sidhardha Kamaraju, David Abramowicz, and Daniel Pohlman discuss how companies can use AI-assisted document review in ...

Introduction Critical care patients face varying degrees of physical and psychological stress; in recent decades, the increasing focus on technologies and clinical processes has led to dehumanisation.

Background Marathon running has numerous cardiovascular effects. Studies report transient physiological changes, while others ...

1 Department of Science, Atebubu College of Education, Atebubu, Ghana. 2 Department of Chemistry Education, University of Education, Winneba, Ghana. 3 Department of Mathematics Education, University ...

Abstract: Random number generation is essential for applications in simulation, numerical analysis, and data encryption. The ubiquitous presence of system-on-chip (SoC) field-programmable gate array ...

Paying invoices sounds simple enough. A vendor creates an invoice and sends a bill, your team approves it, and the money goes out. In practice, though, invoice payments are where a lot of finance ...

Objective This study aims to assess the feasibility of respondent-driven sampling (RDS) to recruit participants with recent abortion experiences in humanitarian contexts, and describe the composition ...

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.

Oct 1 (Reuters) - The Pentagon plans to impose strict nondisclosure agreements and random polygraph testing for scores of people in its headquarters, including many top officials, the Washington Post ...

The way we connect online has shifted dramatically over the past decade. Gone are the days when random video chat was a quirky experiment; today, it's a thriving ecosystem of platforms helping people ...

How can we be sure that there is sufficient data for our model, such that the predictions remain reliable on unseen data and the conclusions drawn from the fitted model would not vary significantly ...