The purpose of this study is to understand how employees interact with each other at work.

This study explores the use of 90-second kickboxing demonstrations as an innovative educational intervention to teach undergraduate nursing students the research process. It aims to enhance engagement and understanding of key research concepts through experiential learning.

This research study aims to identify the national need of family medicine residency educators regarding point-of-care ultrasound (POCUS) education and resources. The study will collect data on the state of POCUS education and resources at medical universities across the country through an optional survey sent to faculty who are members of the Society of Teachers of Family Medicine. The questions in the survey focus on the respondee's level of POCUS training, use of POCUS in their day-to-day practice, and desire for different forms of POCUS content to integrate into their residency programs. The data will be collected and evaluated using Qualtrics.

The purpose of the registry/repository is to provide a mechanism to store data and images to help facilitate the development of a deep learning framework for automatic, objective, fast, and accurate image quality assessment (IQA) of structural MRI data. IQA is typically performed via visual inspection by MRI technologists and can be time-consuming, subjective, and error prone. Our method will complete IQA in milliseconds with high sensitivity and specificity.

The purpose of this study is to understand how people gather information from reference letters, which are short essays written by a former colleague or supervisor to support someone's application for a new role.

Predictive modeling has recently attracted a lot of attention from organizations trying to leverage AI and big data to improve their work processes such as decision-making. However, real-world problems are rarely well-formulated machine learning problems. Practitioners have to supply a well-defined predictive target to operationalize a predictive model. In such cases, they often resort to using observed variables to approximate the actual construct of interest. For example, people have used high sales numbers as a proxy for a good employee. Proxy label selection is a recurring challenge when predictive ML is applied to real-world problems. The purpose of this interview study is to understand how ML practitioners select proxy labels, evaluate proxy labels, and iterate through the different tasks involved.

Some patients are not able to urinate on their own right after surgery for pelvic organ prolapse so they have to go home with a catheter in their bladders. We want to know if it is safe and effective for them to remove their catheters the day after surgery instead of three days after surgery. If this is effective, they might have lower risk of bladder infection and higher satisfaction after surgery.

We aim to understand how people judge different stories and statements to be truthful or present information in different ways.

To understand people's thoughts and opinions on various issues

The purpose of this study is to gather information about how disruptions in school bus services affect children and families.