Increasing access to the profession: Admissions lessons learned from the pandemic

Introduction: The disruptions induced by the COVID-19 pandemic have forced quick and significant changes to recruitment and admissions practices in colleges of pharmacy. This process has helped to identify barriers and challenges for prospective students. At the University of North Carolina Eshelman School of Pharmacy, some changes were already under consideration prior to the pandemic, such as moving to test-optional admissions and allowing remote interviews, while new considerations included offering the entire recruitment and admissions process remotely. Methods: In 2020–2021, the decision was made to move to test-optional admissions. A separate decision was made to conduct interviews remotely. Data from the admission cycle were collected from the Pharmacy College Application Service as part of the standard admissions process and exported for analysis. Descriptive statistics (mean ± SD) were used. Results: Completed applications increased by 59.1% in 2020–2021 from the previous year. Applications increased by 9.8% from underrepresented students, by 6.2% from those with a bachelor's degree, and by 8.4% by out of state students. Other admissions metrics, such as the mean grade point average (3.50) and mean Pharmacy College Admissions Test composite percentile (88%), did not change. Conclusions: The COVID-19 pandemic experience validated our perspective that we must continue to embrace change and seize opportunities to reduce barriers for prospective students to improve access to the profession. The changes that this pandemic has necessitated may help to close the gaps in accessing health professions education. © 2022 Elsevier Inc

Field Measurements of Terrestrial and Martian Dust Devils

Surface-based measurements of terrestrial and martian dust devils/convective vortices provided from mobile and stationary platforms are discussed. Imaging of terrestrial dust devils has quantified their rotational and vertical wind speeds, translation speeds, dimensions, dust load, and frequency of occurrence. Imaging of martian dust devils has provided translation speeds and constraints on dimensions, but only limited constraints on vertical motion within a vortex. The longer mission durations on Mars afforded by long operating robotic landers and rovers have provided statistical quantification of vortex occurrence (time-of-sol, and recently seasonal) that has until recently not been a primary outcome of more temporally limited terrestrial dust devil measurement campaigns. Terrestrial measurement campaigns have included a more extensive range of measured vortex parameters (pressure, wind, morphology, etc.) than have martian opportunities, with electric field and direct measure of dust abundance not yet obtained on Mars. No martian robotic mission has yet provided contemporaneous high frequency wind and pressure measurements. Comparison of measured terrestrial and martian dust devil characteristics suggests that martian dust devils are larger and possess faster maximum rotational wind speeds, that the absolute magnitude of the pressure deficit within a terrestrial dust devil is an order of magnitude greater than a martian dust devil, and that the time-of-day variation in vortex frequency is similar. Recent terrestrial investigations have demonstrated the presence of diagnostic dust devil signals within seismic and infrasound measurements; an upcoming Mars robotic mission will obtain similar measurement types

History and Applications of Dust Devil Studies

Studies of dust devils, and their impact on society, are reviewed. Dust devils have been noted since antiquity, and have been documented in many countries, as well as on the planet Mars. As time-variable vortex entities, they have become a cultural motif. Three major stimuli of dust devil research are identified, nuclear testing, terrestrial climate studies, and perhaps most significantly, Mars research. Dust devils present an occasional safety hazard to light structures and have caused several deaths

Multilevel statistical models and the analysis of experimental data.

Data sets from ecological experiments can be difficult to analyze, due to lack of independence of experimental units and complex variance structures. In addition, information of interest may lie in complicated contrasts among treatments, rather than direct output from statistical tests. Here, we present a statistical framework for analyzing data sets containing non-independent experimental units and differences in variance among treatments (heteroscedasticity) and apply this framework to experimental data on interspecific competition among three tadpole species. Our framework involves three steps: (1) use a multilevel regression model to calculate coefficients of treatment effects on response variables; (2) combine coefficients to quantify the strength of competition (the target information of our experiment); and (3) use parametric bootstrapping to calculate significance of competition strengths. We repeated this framework using three multilevel regression models to analyze data at the level of individual tadpoles, at the replicate level, and at the replicate level accounting for heteroscedasticity. Comparing results shows the need to correctly specify the statistical model, with the model that accurately accounts for heteroscedasticity leading to different conclusions from the other two models. This approach gives a single, comprehensive analysis of experimental data that can be used to extract informative biological parameters in a statistically rigorous way. © 2013 by the Ecological Society of America

How to Set and Manage Your Network Password: A Multidimensional Scheme of Password Reuse

Part 3: Digital BusinessInternational audienceThe rapid development of the Internet and highly decentralized network services, prompting the majority of Internet users continue to register more accounts, and cause a high incidence of password reuse, which makes the user information leakage risks facing the domino-style. Based on the data of Internet password leak door at the end of 2011 as well as the college students’ online survey, the paper analyzed the structural characteristics and reuse behavior of netizen passwords in detail, and thus designed a multidimensional password scheme that infused into the information dimensions and classified management. This scheme, based on the structure of "seed - reuse code", includes three dimensions: the content dimension contains multi-independent "information factor", which constitutes the main part of the password; the formal dimension is responsible for conversion formatting, in order to enhance the complexity and security of the password; and space-time dimension is targeted designed to protect the password timeliness and reusability. Through comparative analysis and quantitative analysis, the new password scheme not only has good memorability and convenience, and can effectively resist the violent attacks and acquaintances attacks