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Developing practices for FAIR and linked data in Heritage Science
Heritage Science has a lot to gain from the Open Science movement but faces major challenges due to the interdisciplinary nature of the field, as a vast array of technological and scientific methods can be applied to any imaginable material. Historical and cultural contexts are as significant as the methods and material properties, which is something the scientific templates for research data management rarely take into account. While the FAIR data principles are a good foundation, they do not offer enough practical help to researchers facing increasing demands from funders and collaborators. In order to identify the issues and needs that arise “on the ground floor”, the staff at the Heritage Laboratory at the Swedish National Heritage Board took part in a series of workshops with case studies. The results were used to develop guides for good data practices and a list of recommended online vocabularies for standardised descriptions, necessary for findable and interoperable data. However, the project also identified areas where there is a lack of useful vocabularies and the consequences this could have for discoverability of heritage studies on materials from areas of the world that have historically been marginalised by Western culture. If Heritage Science as a global field of study is to reach its full potential this must be addressed.
Revolutionizing finance with conversational AI: a focus on ChatGPT implementation and challenges
This study aims to investigate the application and management strategies of ChatGPT in financial services. We explore the potential of ChatGPT in financial customer service, financial planning, risk management, portfolio analysis, insurance services, and fraud prevention, for which it is found to provide efficient automated solutions for financial institutions. To successfully implement ChatGPT applications, we emphasize the importance of managing conversational AI, including clarifying business requirements, identifying application scenarios, building appropriate data models, ensuring security and privacy, performing manual supervision, and establishing evaluation and feedback mechanisms. Besides, we also analyze the challenges and limitations of ChatGPT in financial business, such as data trustworthiness, data privacy and security issues, model bias, and regulatory and compliance issues. Under this foundation, we propose corresponding solutions. Finally, we look forward to the future development of ChatGPT in the financial domain and make corresponding practical suggestions to help financial institutions better utilize ChatGPT technology.
Environment scan of generative AI infrastructure for clinical and translational science
This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the CTSA Program led by the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) at the United States. Key findings indicate a diverse range of institutional strategies, with most organizations in the experimental phase of GenAI deployment. The results underscore the need for a more coordinated approach to GenAI governance, emphasizing collaboration among senior leaders, clinicians, information technology staff, and researchers. Our analysis reveals that 53% of institutions identified data security as a primary concern, followed by lack of clinician trust (50%) and AI bias (44%), which must be addressed to ensure the ethical and effective implementation of GenAI technologies.
Open dataset of kinetics, kinematics, and electromyography of above-knee amputees during stand-up and sit-down
After above-knee amputation, the biological knee and ankle are replaced with prostheses. The mobility level of individuals with amputation is related, in part, to the functionality of their prostheses. To understand healthcare needs of amputees, as well as design new, more helpful prostheses, we need to understand the biomechanical effects of using current prosthetic devices. Here we present a dataset of kinetic, kinematic, electromyographic, and video recordings of nine above-knee amputees during the stand-up and sit-down movements. This dataset represents the first repository of amputee biomechanics during stand-up and sit-down with their passive, microprocessor-controlled prostheses, which are still the standard of care after above-knee amputation. The biomechanics were captured using a 12-camera motion capture system with two force plates and four EMG sensors on the intact lower limb. The dataset can serve as a reference when designing next-generation powered prostheses and controllers, to inform prosthetic prescription, and to improve amputee rehabilitation.
‘Social media is quite good in informing patients but can be quite dangerous because we’re doing clinical work’
AK Let’s go back to the start, what was your undergraduate experience like? FE It was generally positive, it was obviously interrupted by COVID-19, which…
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