To reduce the burden of sickle cell disease in Uganda.

The purpose of this research study is to investigate the relationship between sleep brain wave patterns and peripheral glucose (sugar) levels in individuals with and without type 2 diabetes mellitus (T2DM). Participants will undergo continuous glucose monitoring (CGM) using a CGM device for up to two weeks before an in-laboratory sleep study which is part of routine medical care at UNC to examine how sugar levels fluctuate during sleep and how these fluctuations relate to brain wave activity

The purpose of this study is to learn about middle-aged and older women's experiences with dance, especially in relation to body image, mood, and self-concept.

This project will investigate how different types of search engines (e.g. Google) and generative AI systems (e.g. chatGPT) may help users when conducting information-seeking tasks. Our results will inform the design of search tools and increase our understanding of how generative AI systems can be integrated with search tools to assist users.

Student researchers will develop a set of 10-15 infographics of interventions that incorporate the Safe Systems principles. This project will work closely with the NC Vision Zero team to gather input from key road safety partners across the country (e.g., the Vision Zero Network, and Families for Safe Streets) via interviews to identify interventions to highlight, collaborate with the design team at NC State's Institute for Transportation Research and Education to produce quality materials, and work with local NC communities to conduct usability testing of materials and create a dissemination plan for the NC Vision Zero team.

In the US, systematic economic and social disadvantages negatively impact certain groups of people resulting in higher risk for poorer health outcomes and lower quality of life for these groups. These health inequities contribute to vast, nationwide economic burdens. The intersection of insuring healthcare in the US and ensuring health equity sets the stage for the challenges explored in this research proposal. With the Centers for Medicare and Medicaid Services launching a Stars Health Equity Index to measure and reward health insurer performance for quality ratings within higher social risk factor populations, this shows the critical role that health insurers can play in advancing health equity and lowering costs across the broader US healthcare system. This research study can help provide critical insights about how health insurers can play a significant and effective role in advancing and ensuring health equity.

The purpose of this focus group is to get feedback from patient representatives at UNC Internal Medicine on a set of proposed patient resources and referrals to osteoarthritis resources.

A case study of ten biomedical engineering programs in which two universities collaborate on at least a Ph.D. degree. The intent is to identify circumstances that lead to successful inter-university collaboration as measured by research output, including publications and patents, along with patent citations.

Machine learning is a powerful tool for solving problems that involve a lot of data. It is being used in many different fields. The first step in creating a machine learning system is to understand what you want to achieve and then turn that goal into a plan for using machine learning. This is called problem formulation. Problem formulation is important because it not only helps you understand what you want to achieve but also helps you figure out if you have the right data to make it work. Practitioners need to try different approaches and see what works best for their data. This can take some trial and error. This study looks at a new tool designed to make problem formulation easier and see if it helps practitioners.

This study relies on the knowledge of recreational shark fishers and SCUBA divers in North Carolina to further understand coastal shark ecology and to learn about fishing effort and diver observation effort. This research will help further our understanding on the abundance and distribution of data-limited coastal sharks. In addition, we believe this will help increase our understanding of the North Carolina recreational shark fishery.