Objectives While health services leaders rely heavily on information gathered via environmental scans (ESs) to guide strategic decision-making, formal guidance on how to conduct these scans is notably ...

Objectives The effectiveness of treatment interventions should be evaluated using measurement tools tailored to the research objective, the user’s needs and the complexity of the symptom being ...

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.

Learn what inventory accounting is, how it works, and key methods like FIFO, LIFO, and WAC. Includes real-world examples, tips, and best practices. I like to think of inventory accounting like ...

Copyright: © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Mycetoma is a chronic ...

Introduction: With the increasing demand of global communication and rapid advancements in technology, the role of professional interpreters has evolved beyond linguistic competence to include a range ...

Background: Development of patient decision aids (PtDA) requires decision making about the facts, risks, and benefits to present to patients. Delphi process methodology has been employed successfully ...

Objective A shared consensus on the safety about physical agent modalities (PAMs) practice in physiotherapy and rehabilitation is lacking. We aimed to develop evidence-informed and consensus-based ...

The water inrush is one of the most catastrophic emergencies in metro tunnels. To avoid the potential water inrush, this paper proposes a risk assessment model for the metro tunnel based on Delphi ...

The availability of mechanical thrombectomy (MT) for acute ischemic stroke is limited, and vast disparities exist between countries. We aim to create a MT access score to measure the drivers of access ...