Senior Thesis ST 2011-01

Since the arrival of non-Native peoples to Alaska, the state has heavily relied on importing most food. Food security concerns have been raised related to supply disruptions, cost, and health. This thesis was designed as a pilot study and intended to provide information on local vegetable and fruit production in the Tanana Valley. The results from the study could inform subsequent studies that determine state vegetable and fruit production. Commercial vegetable and fruit producers in the Tanana Valley were surveyed. The response rate was 38.5%. The survey provided insight into characteristics of producers, production, and marketing practices. Increasing crop production in the Tanana Valley is possible, but measuring current production may require a more complex measuring system that is more consistent with producer practices. Alaska faces many challenges if it is to transition from an un-integrated food system to a more comprehensive food system that generates value to local communities

Slot Nozzle Effects for Reduced Sonic Boom on a Generic Supersonic Wing Section

NASA has conducted research programs to reduce or eliminate the operational restrictions of supersonic aircraft over populated areas. Restrictions are due to the disturbance from the sonic boom, caused by the coalescence of shock waves formed off the aircraft. Results from two-dimensional computational fluid dynamic (CFD) analyses (performed on a baseline Mach 2.0 nozzle in a simulated Mach 2.2 flow) indicate that over-expanded and under-expanded operation of the nozzle has an effect on the N-wave boom signature. Analyses demonstrate the feasibility of reducing the magnitude of the sonic boom N-wave by controlling the nozzle plume interaction with the nozzle boat tail shock structure. This work was extended to study the impact of integrating a high aspect ratio exhaust nozzle or long slot nozzle on the trailing edge of a supersonic wing. The nozzle is operated in a highly under-expanded condition, creating a large exhaust plume and a shock at the trailing edge of the wing. This shock interacts with and suppresses the expansion wave caused by the wing, a major contributor to the sonic boom signature. The goal was to reduce the near field pressures caused by the expansion using a slot nozzle located at the wing trailing edge. Results from CFD analysis on a simulated wing cross-section and a slot nozzle indicate potential reductions in sonic boom signature compared to a baseline wing with no propulsion or trailing edge exhaust. Future studies could investigate if this effect could be useful on a supersonic aircraft for main propulsion, auxiliary propulsion, or flow control

A prediction model-based algorithm for computer-assisted database screening of adverse drug reactions in the Netherlands

PURPOSE: The statistical screening of pharmacovigilance databases containing spontaneously reported adverse drug reactions (ADRs) is mainly based on disproportionality analysis. The aim of this study was to improve the efficiency of full database screening using a prediction model-based approach. METHODS: A logistic regression-based prediction model containing 5 candidate predictors was developed and internally validated using the Summary of Product Characteristics as the gold standard for the outcome. All drug-ADR associations, with the exception of those related to vaccines, with a minimum of 3 reports formed the training data for the model. Performance was based on the area under the receiver operating characteristic curve (AUC). Results were compared with the current method of database screening based on the number of previously analyzed associations. RESULTS: A total of 25 026 unique drug-ADR associations formed the training data for the model. The final model contained all 5 candidate predictors (number of reports, disproportionality, reports from healthcare professionals, reports from marketing authorization holders, Naranjo score). The AUC for the full model was 0.740 (95% CI; 0.734-0.747). The internal validity was good based on the calibration curve and bootstrapping analysis (AUC after bootstrapping = 0.739). Compared with the old method, the AUC increased from 0.649 to 0.740, and the proportion of potential signals increased by approximately 50% (from 12.3% to 19.4%). CONCLUSIONS: A prediction model-based approach can be a useful tool to create priority-based listings for signal detection in databases consisting of spontaneous ADRs. KEY POINTS Current methods for full database screening of ADRs are mainly based on disproportionality, which has its limits due to its sensitivity for several types of selection bias. We developed a prediction model-based approach to generate a priority list of drug-ADR associations to be analyzed. The performance of the model and the comparison with the current method showed that the prediction model-based approach is to be preferred over the current method

Session E-7: Is there an App for That?

This presentation will show a variety of different apps for tablets, smart phones, etc. that have educational uses. A number will be presented and demonstrated. Teachers who attend will also be asked to share apps that they use have found valuable, or simply ones that they like

Fountains: Ceramic forms that contain or move fluids

None provided

Best Practices To Help English Language Learners Succeed In Community College

After researching various types of support to help English Language Learners (ELLs) succeed in community colleges, the support methods were categorized into four groups: family, peers, faculty and institutions. To share these practices with ELL students and professionals, a website was developed. The intent of the website is to create a community to encourage students to seek out resources and for professionals to implement more support methods, with the ultimate goal of increasing the retention rate of ELL community college students. The website includes a tab with a form asking for feedback on whether the website was helpful and inviting visitors to share the most effective type of support and their experience. Responses will be reviewed and possibly added to the website categories so that the website is constantly evolving and building community