This paper is part of a series of methodological guidance from the Cochrane Rapid Reviews Methods Group. Rapid reviews (RR) use modified systematic review methods to accelerate the review process ...

Objectives Hypertension and depression frequently co-occur, complicating patient management and worsening outcomes. This scoping review aims to systematically map non-pharmacological interventions for ...

I first encountered the artist’s work at an exhibition in Stockholm, where I was struck by one of her self-portraits; ...

Abstract: Text similarity is a crucial area of study that evaluates how similar texts are both semantically and syntactically. As data volumes increase, understanding the similarities and ...

The remains of Curtis Taylor Jr., a 25-year-old visually impaired man who lived with glaucoma, have been identified by the ...

There will be awards for individual papers of excellence, and presenters will be invited to submit their research for subsequent consideration of publication in the Mid-Atlantic Humanities Review: A ...

Researchers at North Carolina State University have developed a new suite of statistical methods that dramatically improves ...

Objectives To evaluate the available virtual reality (VR) applications for treating perinatal mental health disorders, focusing on their effectiveness in reducing symptoms such as anxiety and ...

Objective The question of sustained remission in SLE has been highlighted recently following data published on the use of chimeric antigen receptor-T cell therapy in SLE. With the review, we wanted to ...

Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...

Background: Physical debilitation is a common adverse effect of heart failure (HF) hospitalization and is associated with adverse outcomes. Hypothesis: Inpatient physical therapy (PT) mitigates the ...

Abstract: Code representation learning is an important way to encode the semantics of source code through pre-training. The learned representation supports a variety of downstream tasks, such as ...