The purpose of this screening study is to collect samples to learn more about your cancer using two investigational diagnostic tests. We will use the results to find out if you meet the eligibility criteria and could enroll in a separate TScan treatment research study.

In this study, we want to learn more about the experiences and activities of high school-aged youth after a neurological event. This study will also help us to understand the perspectives of youth and a parent/caregiver through photos and stories.

We want to learn more about how executive functioning differs between children with ADHD, ASD, or neither. We have finished recruiting for our ADHD and typically developing groups but are still recruiting autistic children to be a part of our study. Children will complete an iPad-based measure of executive functioning and complete various tasks while their brain activity is being monitored using EEG. We will also complete a short eye-tracking task. Parents will fill out different forms to get an understanding of each child's developmental history and current behaviors.

Have you been diagnosed with Low Risk Breast Cancer? Have you already been treated with surgery? If so, you may be able to take part in a research study looking at the effect of regional nodal radiotherapy.

The purpose of this study is to learn more about factors that contribute to exercise-induced fatigue in women.

Learn more about the learning experiences of undergraduate students when they take Asian Studies courses in order to improve the engagement of students in the future.

If you or your child had or currently have abnormal cell growth or a related condition, including brain and nervous system tumors, you may be able to take part in a research study. This is a study for patients who are receiving treatment at UNC hospitals. In this study, we will collect samples to better understand the causes of your disease.

Nowadays, AI systems have been applied widely in a variety of predictive tasks, from objective detection to text classification. These AI systems have greatly advanced automated decision-making. However, sometimes humans and AI systems think in very different ways, which means humans and AI systems might use different evidence to make predictions. In this study, we are using sentiment analysis of Amazon product reviews as a case study. Humans will judge sentiments of different words with different AI explanations. Human and AI judgments will be compared to find to which extend human and AI knowledge align.

This is a research study to learn about how mothers in recovery from addiction define, recognize, and foster emotions that connect their children to others such as gratitude, generosity, and love. People enrolled in the study will meet with a study team member in groups of 3-5 to complete an online survey and focus group interview asking for your opinions about these issues. The group meeting will take place at or near a treatment or recovery center and take about 90-minutes. Meetings can be in-person or virtual.

In this study, we want to learn more about how informational professionals interact with large language models such as ChatGPT, Bing AI, and Google Bard. We are interviewing and conducting diary studies with information professionals (e.g. finance, law, IT, business, academia, journalism, and consulting) who regularly use these systems in their work to understand the information practices they engage in while using these systems. Previous study participants have noted that the diary entries enabled them to reflect more deeply on their use of these tools and the interview has helped synthesized what they have documented. We hope you may find such benefits in your participation as well.