To assess NC community pharmacists' awareness of fentanyl test strips, assess fentanyl test strip instruction preferences, comfort in educating patients about fentanyl test strips as well as referring patients to harm reduction organizations that provide fentanyl test strips.
The study will investigate how selected religious student organizations provide spiritual and social/emotional supports to undergraduates as they navigate the academic and social challenges inherent in college.
The purpose of this study is to understand what type of little cigar and cigarillo images with text statements are the most effective. We will show participants different images with text statements about little cigar and cigarillo products and ask questions about them.
The purpose of this study is to understand the relationship between binge drinking in adolescence and behavior in adulthood, as well as the relationship between sleep and reactions to alcohol.
The Child Development Research Registry (CDRR) links families with researchers who are conducting projects on child development at UNC. Parents in the Triangle region of North Carolina (Wake, Durham, Chatham, Orange, and Alamance counties) are invited to enroll their babies and typically developing children in this registry.
The purpose of this study is to see how political affiliations affect views and attitudes toward social and environmental sustainability. In addition, it aims to determine how different political affiliations respond to differently framed sustainable marketing messages. Individuals who take part in this research will be asked to view stimuli featuring a product and its sustainable impact. Then, they will be asked to record what they believe to be a fair price for each product.
To study intellectual humility and its development across the lifespan.
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.
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.
The goals of this research are to: (1) understand how hearing develops throughout the lifespan; (2) determine the factors associated with successful speech, language, and hearing outcomes for individuals spanning a wide range of ages and abilities; and (3) advance auditory assessment practices for both neurotypical and diverse populations.