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- All Subjects: Biomaterials
- All Subjects: Marketing
- Creators: Harrington Bioengineering Program
The goal of this research project is to create a Mathcad template file capable of statistically modelling the effects of mean and standard deviation on a microparticle batch characterized by the log normal distribution model. Such a file can be applied during manufacturing to explore tolerances and increase cost and time effectiveness. Theoretical data for the time to 60% drug release and the slope and intercept of the log-log plot were collected and subjected to statistical analysis in JMP. Since the scope of this project focuses on microparticle surface degradation drug release with no drug diffusion, the characteristic variables relating to the slope (n = diffusional release exponent) and the intercept (k = kinetic constant) do not directly apply to the distribution model within the scope of the research. However, these variables are useful for analysis when the Mathcad template is applied to other types of drug release models.
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There has been a low rate of voter turnout in the U.S. in recent years, especially among young voters. In an effort to determine how to best encourage Americans to vote, emotional appeals and message frames were examined. The objective of this 2x2 study was to determine if positive or negative emotional appeals were more effective in changing voting behavior and if positively framed or negatively framed messages were more effective in changing voting behavior. An experiment was conducted via the Robert B. Cialdini Behavioral Research Lab at ASU, and each participant was shown a piece of voting communication that presented an emotional appeal and a message frame. It was found that, although the positive emotional appeals were not more effective than the negative emotional appeals in changing voting behavior, the positively framed messages were more effective than the negatively framed messages in changing voting behavior.
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