Race/ethnicity and gender differences in drug use and abuse among college students

This study examines race/ethnicity and gender differences in drug use and abuse for substances other than alcohol among undergraduate college students. A probability-based sample of 4,580 undergraduate students at a Midwestern research university completed a cross-sectional Web-based questionnaire that included demographic information and several substance use measures. Male students were generally more likely to report drug use and abuse than female students. Hispanic and White students were more likely to report drug use and abuse than Asian and African American students prior to coming to college and during college. The findings of the present study reveal several important racial/ethnic differences in drug use and abuse that need to be considered when developing collegiate drug prevention and intervention efforts.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2377408/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2377408/Accepted manuscrip

Analysis of High-Altitude Ionization Gauge Measurements Using the Direct Simulation Monte Carlo Method

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76801/1/AIAA-2004-2686-509.pd

Computational Analysis of High-Altitude Ionization Gauge Flight Measurements

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/77084/1/AIAA-13122-693.pd

Cross-border hospital use: analysis using data linkage across four Australian states

Objective: To determine the quality and effectiveness of national data linkage capacity by performing a proof-of-concept project investigating cross-border hospital use and hospital-related deaths. Design, participants and setting: Analysis of person-level linked hospital separation and death registration data of all public and private hospital patients in New South Wales, Queensland and Western Australia and of public hospital patients in South Australia, totalling 7.7 million hospital patients from 1 July 2004 to 30 June 2009. Main outcome measures: Counts and proportions of hospital stays and patient movement patterns. Results: 223 262 patients (3.0%) travelled across a state border to attend hospitals, in particular, far northern and western NSW patients travelling to Queensland and SA hospitals, respectively. A further 48 575 patients (0.6%) moved their place of residence interstate between hospital visits, particularly to and from areas associated with major mining and tourism industries. Over 11 000 cross-border hospital transfers were also identified. Of patients who travelled across a state border to hospital, 2800 (1.3%) died in that hospital. An additional 496 deaths recorded in one jurisdiction occurred within 30 days of hospital separation from another jurisdiction. Conclusions: Access to person-level data linked across jurisdictions identified geographical hot spots of cross-border hospital use and hospitalrelated deaths in Australia. This has implications for planning of health service delivery and for longitudinal follow-up studies, particularly those involving mobile populations

Plasma generation and plume expansion for a transmission-mode microlaser ablation plasma thruster

An end-to-end model is presented of the transient plume created by a microlaser ablation plasma thruster. In this article, we describe a model of the plasma generation and expansion for a micro-laser plasma thruster operated in transmission-mode (T-mode). The laser ablation and plasma formation processes are modeled using a kinetic ablation model. This procedure provides boundary conditions at the target surface for the plume model that is based on a particle computational approach. The present study considers a 2.5–8 W diode-based laser irradiating a poly-vinyl chloride target for a pulse length of 3–10 ms. Laser beam shape full width at half maximum at the target is about 25×25 μm. The plume simulations reveal many details of the multicomponent plasma expansion. The results are compared with experimentally obtained plume signatures. Generally good agreement between experimental and calculated flux profiles is found. © 2004 American Institute of Physics.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/69665/2/JAPIAU-96-1-49-1.pd