Assessing the Implementation of Campus Safety Policies in Virginia Community Colleges: An Analysis of the Forces at Play in Higher Education Institutional-Level Policymaking

The purpose of this study was to assess the extent to which community colleges have implemented major post-Virginia Tech campus safety recommendations. In addition to gaining a comprehensive overview of the safety policies and practices in place, this study assessed if campus safety policy implementation levels at the community colleges correlated with institutional characteristics, and the internal and external forces that helped drive the implementation of these policies. Focusing specifically upon the Virginia Community College System, data on the policies and practices in place at each of the 23 Virginia community colleges were collected from institutional websites and through follow-up telephone calls. Interviews were then conducted with a small group of administrators from various Virginia community colleges. Analysis of the data indicated that large variance exists across the community colleges, as some have implemented most of the major campus safety recommendations that currently exist, while other have only implemented far less. The results also revealed potential support for larger community colleges with more resources and more campuses implementing more campus safety recommendations. Interview data detailed that external mandates and internal college leadership are the most important forces driving campus safety policy change among the community colleges. A number of policy implications arose regarding where community colleges need to improve their campus safety and how to best drive campus safety policy changes in the future

The Long-Baseline Neutrino Experiment: Exploring Fundamental Symmetries of the Universe

The preponderance of matter over antimatter in the early Universe, the dynamics of the supernova bursts that produced the heavy elements necessary for life and whether protons eventually decay --- these mysteries at the forefront of particle physics and astrophysics are key to understanding the early evolution of our Universe, its current state and its eventual fate. The Long-Baseline Neutrino Experiment (LBNE) represents an extensively developed plan for a world-class experiment dedicated to addressing these questions. LBNE is conceived around three central components: (1) a new, high-intensity neutrino source generated from a megawatt-class proton accelerator at Fermi National Accelerator Laboratory, (2) a near neutrino detector just downstream of the source, and (3) a massive liquid argon time-projection chamber deployed as a far detector deep underground at the Sanford Underground Research Facility. This facility, located at the site of the former Homestake Mine in Lead, South Dakota, is approximately 1,300 km from the neutrino source at Fermilab -- a distance (baseline) that delivers optimal sensitivity to neutrino charge-parity symmetry violation and mass ordering effects. This ambitious yet cost-effective design incorporates scalability and flexibility and can accommodate a variety of upgrades and contributions. With its exceptional combination of experimental configuration, technical capabilities, and potential for transformative discoveries, LBNE promises to be a vital facility for the field of particle physics worldwide, providing physicists from around the globe with opportunities to collaborate in a twenty to thirty year program of exciting science. In this document we provide a comprehensive overview of LBNE's scientific objectives, its place in the landscape of neutrino physics worldwide, the technologies it will incorporate and the capabilities it will possess.Comment: Major update of previous version. This is the reference document for LBNE science program and current status. Chapters 1, 3, and 9 provide a comprehensive overview of LBNE's scientific objectives, its place in the landscape of neutrino physics worldwide, the technologies it will incorporate and the capabilities it will possess. 288 pages, 116 figure

Integrative Medicine Research at an Academic Medical Center: Patient Characteristics and Health-Related Quality-of-Life Outcomes

OBJECTIVE: To characterize patients seeking care at a university-based integrative medicine practice, and to assess short-term changes in health-related quality of life (HRQoL) associated with integrative medical treatment. DESIGN: Prospective, observational study. SETTING: This study was conducted at a large U.S. academic medical center affiliated with the Consortium of Academic Health Centers for Integrative Medicine. PARTICIPANTS: Seven hundred and sixty-three (763) new patients with diverse medical conditions participated in the study. Mean age was 49 years (standard deviation = 16, range = 14-93). Two thirds of patients were women and three quarters were white. The most common International Classification of Diseases 9th Revision medical diagnoses were malaise and fatigue, myalgia and myositis, allergy, anxiety or depression, hypertension, malignant neoplasm of the breast, lumbago, and irritable bowel disease. Over half the sample had two or more comorbid medical conditions. OUTCOME MEASURE: The Medical Outcomes Study 36-item Short-Form (SF-36) health survey was used to measure HRQoL at initial assessment and 3-months following integrative medicine consultation. RESULTS: Baseline SF-36 scores fell below the 25th percentile, indicating substantially compromised HRQoL. Physician-prescribed treatment modalities included anthroposophical medicine, nutritional medicine, Western herbs, homeopathy, nutritional counseling, and acupuncture. Three (3) month follow-up assessment revealed statistically significant improvements on all eight SF-36 subscales among survey respondents. HRQoL effect sizes ranged from 0.17 (Physical Functioning) to 0.41 (Social Functioning), with a mean of 0.30. HRQoL effects were consistent among demographic subgroups. CONCLUSIONS: Integrative medical treatment at a university-based center is associated with significant increases in HRQoL for a medically diverse population with substantial comorbidity and functional limitations. Controlled studies that measure HRQoL and additional outcomes related to whole person health--physical, mental, social, and spiritual--are needed to determine the full therapeutic potential of integrative medicine, and to determine efficacy and cost-effectiveness relative to conventional medical care

Native mass spectrometry reveals the simultaneous binding of lipids and zinc to rhodopsin

Rhodopsin, a prototypical G-protein-coupled receptor, is responsible for scoptic vision at low-light levels. Although rhodopsin's photoactivation cascade is well understood, it remains unclear how lipid and zinc binding to the receptor are coupled. Using native mass spectrometry, we developed a novel data analysis strategy to deconvolve zinc and lipid bound to the proteoforms of rhodopsin and investigated the allosteric interaction between lipids and zinc binding. We discovered that phosphatidylcholine bound to rhodopsin with a greater affinity than phosphatidylserine or phosphatidylethanolamine, and that binding of all lipids was influenced by zinc but with different effects. In contrast, zinc binding was relatively unperturbed by lipids. Overall, these data reveal that lipid binding can be strongly and differentially influenced by metal ions. © 2020 Elsevier B.V.Science Foundation Arizona24 month embargo; available online 20 November 2020This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Cardiac cell modelling: observations from the heart of the cardiac physiome project

In this manuscript we review the state of cardiac cell modelling in the context of international initiatives such as the IUPS Physiome and Virtual Physiological Human Projects, which aim to integrate computational models across scales and physics. In particular we focus on the relationship between experimental data and model parameterisation across a range of model types and cellular physiological systems. Finally, in the context of parameter identification and model reuse within the Cardiac Physiome, we suggest some future priority areas for this field