In today's workplace, telling a clear and powerful story can help people lead, persuade others, and explain ideas. This study looks at how college students improve their business stories using feedback from an AI writing tool. One way to make stories stronger is by using vivid language. But many students struggle to add vividness to their stories. In this study, students write two stories. After writing the first draft, they receive feedback from a custom AI tool called StoryCoach GPT. Then, they revise their stories based on the AI's suggestions. The study compares student drafts to see if AI feedback helps them write more vivid, engaging business stories. Stronger storytelling can help students stand out in interviews, connect with audiences, and lead with impact. The results may also guide future research on AI tools in professional communication education.

To collect quantitative data to: -Primarily gain a better understanding of patients' attitudes and preferences regarding end-of-life care management if they were to develop a high-risk skin cancer. To be more specific, we hope to gain a better understanding of how patients weigh their risk of developing skin cancer while taking immunosuppressants versus the risk of transplant rejection should they choose to stop or lower their immunosuppressants. -Determine how far these kidney transplant recipients travel to obtain skin-related care -Determine how frequently kidney transplant recipients obtain skin exams -Determine patients' baseline knowledge regarding risk of skin cancer while taking immunosuppressants, which are medicines that lowers immune systems -Determine the quality of life of individuals with skin cancer who are kidney transplant recipients

What is the real-world effectiveness of etrasimod in adult patients ages ≥18 years and <65 years with moderately to severely active UC?

We hypothesize a new mentorship program will lead to improved perception about pursuing a career in orthopedic surgery and increase reported competence and confidence related to orthopedic topics delivered through educational sessions.

The purpose of this study to understand employee reactions to observations about their work environment, specifically emotions experienced from their coworker's behavior.

To compare the effect of bilateral ovarian vein and pelvic vein embolization versus placebo (venography alone) in women with symptoms and signs suggesting venous origin chronic pelvic pain, at least one dilated and incompetent ovarian vein (≥6mm with reflux on any imaging modality) and pelvic varices (≥1 veins, >5 mm diameter) on reducing pain symptoms as measured by difference in visual analog scale (VAS) pain score at 6 months in treatment group vs. control group.

Through the implementation of innovative multimedia-based learning strategies, we will advance the science of nursing education forward by 1) Transforming pathophysiology and pharmacology concepts into active learning materials. 2) Enhancing students' understanding and retention of the content covered in NURS 351 lectures to improve their clinical judgment. 3) Improving NURS 351 exam scores and overall passing rates.

This survey is part of a research study about understanding any potential gaps in a prescribing guide developed by pharmacists for dental providers and educators to optimize education on prescribing choices for dental learners. The results of the study will further inform a scope of prescribing guide and educational content on the subject.

We are studying how to make medical test results easier for patients to understand. Pathology reports, which explain what doctors find in tissue samples, are often written for medical professionals and can be hard for patients to read. In this study, we are testing whether artificial intelligence (AI) can help explain these reports in plain language. Patients having a routine screening procedure will read a sample report with or without an AI-generated explanation. Then they will answer questions about how well they understood the report and how they felt about it. We want to learn if using AI helps people better understand their health information and feel more confident making decisions. This will help improve the way test results are shared in the future.

The overarching aim of the broader research project is to evaluate health insurance enrollment assister (aka Navigator) programs in North Carolina and document the additional support Navigators provide clients beyond assistance with health insurance. This portion of the study involves interviewing health insurance navigators about their experiences, particularlly regarding: 1. Types of support (health insurance and non-health insurance-related) 2. Challenges and best practices of supporting members 3. Strategies for reaching marginalized communities