Trends in Urology Residency Applications: Results From the American Urological Association Medical Student Survey From 2022 to 2024.

Objective: To provide a comprehensive overview of the American Urological Association Medical Student Surveys and includes data 2022, 2023, and 2024.

Methods: Data collected through surveys distributed prior to match day and were distributed to all medical students who submitted a rank list for urology residency. Questions consisted of various topics, including applicant demographics, application metrics, and experiences with preference signals and virtual interviews.

Trends in Urology Residency Applications: Results From The Society of Academic Urologists Program Director Survey From 2022 to 2024.

Objective: To provide a cross-sectional view of the current opinions surrounding the urology match by analyzing data from the annual Society of Academic Urologists Program Director Surveys conducted between 2022 and 2024.

Methods: Data collected through surveys distributed to all urology program directors (PD) consisting of questions covering program demographics, applicant selection criteria, preference signals (PS), virtual interviews (VI), and other relevant topics.

Results: 89, 90, and 89 PD participated in the surveys for the years 2022, 2023, and 2024, respectively.

Anger and associated risk and protective factors among rural American adolescents: Implications for violence prevention.

Background: Adolescent violence in the United States is a prevalent public health problem and is understudied in rural settings. Anger is a significant risk factor for adolescent violence. To better craft adolescent violence interventions, it is important to examine anger and identify its most significant associated factors.

Predicting COVID-19 Vaccination Intentions to Inform Evidence-Based Messaging for Building Vaccine Confidence Among Rural Americans.

Purpose: Examine possible message topics to promote rural vaccination using psychosocial antecedents of vaccination.

Design: Cross-sectional survey administered by Research America, Inc.

Setting: West Virginia (WV).

: a computational tool for symbolic derivation of the small-angle scattering from complex composite structures.

Analysis of small-angle scattering (SAS) data requires intensive modeling to infer and characterize the structures present in a sample. This iterative improvement of models is a time-consuming process. Presented here is (), a C++ library that derives exact analytic expressions for the form factors of complex composite structures.