Austin College is a private liberal arts college affiliated with the Presbyterian Church (USA) and located in Sherman, Texas.About 1,300 students are enrolled at the college. Students are required to live on campus for the first three years of their education in order to foster a close-knit and community oriented campus lifestyle. Austin College actively promotes study abroad programs; 70% of graduates have at least one international study experience during college, and about 82% of students are involved in research. The college cultivates close interaction between students and professors via a 13:1 student to faculty ratio and an average class size of fewer than 25 students.Chartered in November 1849, Austin College remains the oldest institution of higher education in Texas to be operating under its original charter and name as recognized by the State Historical Survey Committee. The college was profiled in all three editions of Colleges That Change Lives.
The Israeli military invasion of 2023-2025 has decimated Gaza's health system, constraining trauma capacity and disrupting prehospital and hospital care. We aimed to characterize emergency department (ED) orthopedic injury patterns. We conducted a multicenter, descriptive cross-sectional study across four referral hospitals in different governorates (September 1-16, 2024). A standardized interviewer-administered instrument and chart review captured demographics, mechanism, injury type/site, soft-tissue and neurovascular findings, acute interventions, disposition, perceived care quality, and time metrics (to first care, ED evaluation, surgery). Primary outcomes were admission and emergency surgery. Analyses included descriptive statistics and bivariable/multivariable logistic regression with hospital-clustered standard errors. Among 449 patients, the cohort was predominantly young, male, and displaced. Most presentations followed explosive violence. Fractures predominated, with a large share open; comminuted and segmental patterns were frequent, and neurovascular compromise was common. Many patients reached some form of care rapidly, yet few received first aid before ED arrival, indicating prehospital collapse amid unsafe transit. Median wait-time was short but highly variable between hospitals. Operative demand exceeded theatre capacity, with notable interhospital variation in time to surgery. Orthopedic trauma care in Gaza continues to be affected by widespread damage, though unevenly across the enclave. Immediate priorities include the entry of essential medical supplies and safe protection for hospitals and healthcare workers to operate.
High-resolution imaging is widely used to constrain false-positive scenarios in exoplanet validation, but it is a finite follow-up resource that reaches only a subset of candidates, and its population-level impact on validation outcomes has not been quantified through controlled removal experiments. Using an automated pipeline built on TRICERATOPS, we compute the false-positive probability (FPP) of 443 TESS planet candidates. For the 264 planet candidates with high-resolution imaging observations, we compute FPP with and without the corresponding contrast curves, allowing us to quantify the impact of the additional data. We find that 72
This paper examines the transition from moonlighting to full-time self-employment using panel data from the Survey of Income and Program Participation (1996–2013), contributing to a growing literature on staged entrepreneurial entry. Moonlighters who earn at least 50
Emergency departments (EDs) are fast-paced, dynamic, safety-critical spaces where clinicians are overworked and underpaid. To support clinicians, researchers are exploring the contextualization and development of clinically assistive robots (CARs) that can assume non-critical tasks to reduce clinician overload. In this article, we introduce Clinically Assistive Robot System for Emergency Medicine (CAR-EM), collaboratively developed with ED clinicians. CAR-EM includes an autonomous robot and a task specification interface. It completes tasks by leveraging control synthesis, a framework that automatically transforms high-level tasks into control while providing guarantees and feedback. We conducted a feasibility study across two different hospital EDs, where interprofessional clinicians tasked the robot to perform patient assessments and item deliveries. Clinicians found the system easy to use, and particularly helpful to offload busywork. This work demonstrates control synthesis as a feasible tool to develop autonomy for robots in safety-critical spaces, and identifies considerations for failure interventions. We also discuss ethical considerations for deploying robots in hospitals, including healthcare worker displacement and work disruption. Thus, our work: (1) highlights the unique requirements of situating robots in real world hospital EDs, and (2) demonstrates a novel approach leveraging guarantees and feedback from control synthesis methods to successfully implement context-specific CAR behaviors. Through this work, we aim to further research for safer and more reliable robots in real world, uncertain environments.
