If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be ...
ABSTRACT: This study examined the effects of using digital platforms, specifically Viazisoko and Mzizi apps, on Irish potato productivity among smallholder farmers in Molo and Njoro sub-counties, ...
ABSTRACT: The adoption of the Building Information Modelling (BIM) methodology in different sectors of the construction industry has recently received government support worldwide as a way of ...
The implementation of a business model involves a detailed understanding of the process through which a company creates, delivers, and captures value. The operational challenges here include the ...
The Public Health Framework for Collaborative Arthritis Management and Wellbeing (“the Framework”) is being piloted as a model to improve health and wellbeing of people with arthritis. This model is ...
aDivision of Pediatric Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, ...
Written by Ken Huang, CSA Fellow, Co-Chair of CSA AI Safety Working Groups and Dr. Ying-Jung Chen, Georgia Institute of Technology. This implementation guide provides a comprehensive, hands-on ...
Understanding differences in outcomes between social groups—such as wage gaps between men and women—remains a central challenge in social science. While researchers have long studied how observable ...
Background Numerous lung cancer risk prediction models have been developed and validated worldwide. It is imperative to offer a comprehensive overview and comparative analysis of their performances.
OpenAI says its latest models, o3 and o4-mini, are its most powerful yet. However, research shows the models also hallucinate more -- at least twice as much as earlier models. Also: How to use ChatGPT ...
The feature of interest is whether or not a customer buys a caravan insurance, based on socio-demographic factors and ownership of other insurance policies; and to build profile of a typical customer.