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.

To evaluate the effect of mitapivat on albumin creatinine ratio (ACR) response in subjects with sickle cell disease (SCD) and nephropathy

To determine the feasibility of measuring center of pressure in preterm infants at term equivalent age on a force plate in the NICU setting.

The purpose of the study is to analyze if asking questions on polarizing topics reduces response quality The study will analyze the research question using an experiment. Respondents will be randomly assigned to one of two main conditions. The experimental group will receive uncomfortable or embarrassing true-or-false questions about their political party, depending on what party they identify with. The questions are factual but may be perceived as biased or polarizing. The control group will receive 3 true-or-false questions about Democrats and 3 true-or-false questions about Republicans. Later, the researcher will compare instances/rates of satisficing, affective polarization, sentiment codes, internal consistency, conformity, and truthfulness between the experimental and control groups.

This study aims to understand implementation of Restorative Practices in selected NC public elementary schools, the reason for implementation failures and successes in selected schools, and the underlying causes of such failures and successes.

To create digital tools to support young adult cancer survivors completing active treatment and transitioning into survivorship care.

We are studying how young people respond to vaping prevention video ads. We are inviting people aged 13-20 to participate in this research. Participants will watch some short videos about vaping and answer a survey. The whole process will take approximately 20 minutes. Feedback will help improve future vaping prevention efforts.

To establish the efficacy of Collagen X Biomarker (CXM) as a measure of growth activity and velocity compared to the current radiographic and anthropometric measures in children with idiopathic scoliosis.