The purpose of this study is to determine how effortful someone thinks stepping over an obstacle is. We will try to relate this sense of effort to the way that they move.

Our study focuses on finding potential cases of Perinatal Depression amongst women in Za'atari Refugee Camp for Syrian refugees in Jordan. We created a paper survey that took questions from the Edinburgh Perinatal Depression Scale, the official questionnaire for assessing individuals for symptoms of this mental condition, and plan to give copies of the survey to patients at the Women and Girls Comprehensive Centre run by the Jordan Health Aid Society (JHASi). We are conducting this study because, while JHASi has information on some mental health conditions in Za'atari, they have no data on Perinatal Depression. According to this research, it seems many women are exposed to situations that could result in them developing Perinatal Depression. By assessing the women in the clinic for symptoms of this condition, our study will help fill this gap in JHASi's data and allow the organization to create new mental health support systems.

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.

There is a movement toward addressing social risk factors as part of healthcare delivery, with similar efforts launched by the CF Foundation. However, current social screening tools do not capture the unique risks and needs of people with CF, have not been tailored to adults with CF vs caregivers of children with CF, and have not been adapted to multidisciplinary CF care delivery. Our work also showed <20% of those who report needs access help, and found barriers related to stigma, guilt, or fear. It is critical to develop a social screening instrument that is specific to adults and caregivers of children with CF, acceptable to them, and rigorously tested for reliability and validity. Using a community-engaged process, we will systematically address these knowledge gaps.

Pleuropulmonary Blastoma (PPB) is a rare lung tumor in young children that can grow in stages from less serious (Type I) to more dangerous (Type III). This study will test how well a drug combo: vincristine, topotecan, and cyclophosphamide (VTC) works for serious types (Type II and III) and help decide which patients with less serious tumors (Type I and Type Ir (regressed) PPB ) need chemotherapy after surgery. Researchers will also study the biology of the tumor to learn more about it.

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.

The purpose of this study is to understand how the T32 Trainees Pre and Postdoctorals students manage their overall experience within the training program.

There are multiple devices that have been developed and approved to help treat heart failure symptoms, yet some patients who qualify for these devices are denied authorization by their insurance. We look to describe trends across the United States.

As machine learning is accepted as one of the most powerful tools to solve problems that involve a large amount of data, more and more application areas started to explore and adopt machine learning methods into their workflows. The first step of developing a machine learning model is to determine the target variable, i.e. what to predict. For instance, if a practitioner wants to develop a model to assist hiring decisions, he/she may choose a candidate's performance score as the prediction target to train the machine learning model. In practice, practitioners need to experiment and evaluate a large set of potential target variables until they reach a satisfactory one. We would like to automate the evaluation of target variables and recommend good ones to the users. The purpose of this study is to understand how different recommendation strategies influence the target selection process.

The purpose of this research study is to improve the understanding and satisfaction with confidential reporting of learning environment concerns for Pediatric Resident physicians. We will conduct a baseline needs assessment survey , followed by targeted education on a singular reporting system, covering report submission, procedural follow-up, and outcome communication. A follow-up survey will evaluate for change in the understanding of and satisfaction with the process. Through this intervention, the objective is to enhance clarity and satisfaction with the reporting process.