'Searchsmart.org is a free website that guides researchers to particularly suitable search options for their particular disciplines, offering a wide array of resources, including search engines, aggregators, journal platforms, repositories, clinical trials databases, bibliographic databases, and digital libraries. Search Smart currently evaluates the coverage and functionality of more than a hundred leading scholarly databases, including most major multidisciplinary databases and many that are discipline-specific'
Social science researchers continue to choose scoping reviews as a means of synthesizing the literature in their field, though search reporting is inconsistent. Many projects could benefit from the application of tools such as PRISMA-S, use of supplementary search strategies, and support of an LIS professional. Open Access
The aim of this study was to assess the ChatGPT-4 (ChatGPT) large language model (LLM) on tasks relevant to community pharmacy. To read the full article, choose Open Athens “Institutional Login” and search for “Midlands Partnership”.
Current scales are often lengthy and redundant, leading to exhaustion and response burden. The goal is to use machine learning techniques, specifically item-reduction methods and selection algorithms, to develop shorter and more efficient scales. To read the full article, choose Open Athens “Institutional Login” and search for “Midlands Partnership”.
This paper aims to explore how the term “mental health literacy” (MHL) is defined and understand the implications for public mental health and educational interventions. To read the full article, choose Open Athens “Institutional Login” and search for “Midlands Partnership”.
We assessed the ability of ChatGPT (generative artificial intelligence-based large language model) to predict DDIs in a real-world setting... Low sensitivity values suggest a lack of success in identifying DDIs by ChatGPT, and further development is required before it can reliably assess potential DDIs in real-world scenarios. Open access article - no login required
Technologies using artificial intelligence to recognize people’s emotional states...emotional recognition technologies...claim to identify people’s emotional states based on data, like facial expressions...technologies are founded on bad science...not possible to correctly identify people’s emotions...can be harmful...especially for autistic workers...this article looks at...technologies to show how autistic people...may be disadvantaged or harmed by the development and use of the technologies. To read the full article, choose Open Athens “Institutional Login” and search for “Midlands Partnership”.