Objectives To examine the barriers and facilitators of anorexia nervosa (AN) recovery in adults with autism. Design Qualitative study using semi-structured interviews with autistic adults who ...

Objectives Older adults can have difficulties understanding and recalling information prior to hospitalisation for elective treatment. Limited research exists regarding how older adults perceive the ...

Abstract: Permanent Magnet Synchronous Motors have become widely adopted in new energy vehicles, industrial drives, and various other applications, thanks to their remarkable advantages such as high ...

Introduction: Adaptations are common, expected, and often imperative for successful uptake and sustained implementation of clinical or public health programs in real-world practice settings.

ABSTRACT: The study investigated how the Board Independence affects the educational performance of Catholic-founded Grant-Aided Secondary Schools (GASS) in Uganda. Drawing from agency, stakeholder, ...

MINNEAPOLIS--(BUSINESS WIRE)--Objective Biotechnology, a pioneer in next-generation research tools, today announced the commercial launch of the Autoinjector, the first fully automated robotic system ...

In a time of intense societal division, understanding across groups feels frustratingly out of reach. It’s not just differing opinions – we face a deep disconnect in grasping each other’s experiences, ...

A couple of weeks ago, I shared a visual on quantitative research and I was really glad to see how many of you found it useful, especially for teaching and workshops. Today I’m shifting the focus to ...

Background: Qualitative research is crucial for understanding the values and beliefs underlying individual experiences, emotions, and behaviors, particularly in social sciences and health care.

1 State Grid Zhejiang Electric Power Co., Ltd., Hangzhou, Zhejiang, China 2 School of Automation, Wuhan University of Technology, Wuhan, Hubei, China To improve power distribution control in systems ...

Abstract: In the field of Multi-Object Tracking (MOT), the current mainstream approach is the tracking by detection paradigm, which heavily relies on the accuracy of the detector, the ...

Machines learn to connect images and text by training on large datasets, where more data helps models recognize patterns and improve accuracy. Vision-language models (VLMs) rely on these datasets to ...