This study seeks to understand the motives and marketing strategies of products that are branded with a political cause or mission.

To study and measure the impact of AI-driven first-year writing education on student critical literacy of AI processes

This study was created to help improve internal medicine residents' confidence and skill at conducting goals of care conversations, including end-of-life discussions by giving more regular feedback. Improving this skill will help residents take better care of patients.

To determine the contribution of elevated lysophosphatidic acid to TMD pain

The purpose of this research study is to better understand the sources of plastic litter in diverse communities up and down the Mississippi River, and learn how models and other information can be better tailored to help inform community decision-making.

We want to better understand hearing (like speech perception or sound source localization) across the lifespan.

Improve counseling around vaccine hesitancy for first year pediatric residents.

This study will examine how effective the use of a simulated model to teach ultrasound guided needle procedures for diagnosis and treatment in obstetrics, such as amniocentesis and fetal shunt placement.

We want to see if an antibody we created can help reduce symptoms of Lupus by restoring function in immune cells affected by Lupus. We will be taking blood as well as reviewing medical records and current and past disease activity.

To determine the effect of multiple testing sessions on the performance in an attention task. The lateralized attentional network test (LANT) measures alerting, orienting, and executive control of attention. Six test sessions will be administered to examine stability, robustness, and reliability of the test. This study will be the first to examine if performance of the three attention networks in both hemispheres changes over time using the LANT. Therefore, the primary goal of this study is to examine the robustness, reliability, and stability of the three attention networks over repeated testing sessions.