Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
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Based on findings of previous studies, there was speculation that two well-known experimental design software packages, JMP and Design Expert, produced varying power outputs given the same design and user inputs. For context and scope, another popular experimental design software package, Minitab® Statistical Software version 17, was added to the comparison. The study compared multiple test cases run on the three software packages with a focus on 2k and 3K factorial design and adjusting the standard deviation effect size, number of categorical factors, levels, number of factors, and replicates. All six cases were run on all three programs and were attempted to be run at one, two, and three replicates each. There was an issue at the one replicate stage, however—Minitab does not allow for only one replicate full factorial designs and Design Expert will not provide power outputs for only one replicate unless there are three or more factors. From the analysis of these results, it was concluded that the differences between JMP 13 and Design Expert 10 were well within the margin of error and likely caused by rounding. The differences between JMP 13, Design Expert 10, and Minitab 17 on the other hand indicated a fundamental difference in the way Minitab addressed power calculation compared to the latest versions of JMP and Design Expert. This was found to be likely a cause of Minitab’s dummy variable coding as its default instead of the orthogonal coding default of the other two. Although dummy variable and orthogonal coding for factorial designs do not show a difference in results, the methods affect the overall power calculations. All three programs can be adjusted to use either method of coding, but the exact instructions for how are difficult to find and thus a follow-up guide on changing the coding for factorial variables would improve this issue.
Differences between basic and applied research were explored through a wet-lab case study. Vaccinia virus (VACV) infections are a prime model of the competition between a virus and its host. VACV contains a gene that is highly evasive of the host immune system, gene E3L. The protein encoded by E3L is E3, which contains two highly conserved regions, a C-terminus, and a N-terminus. While the C-terminus is well-understood, the mechanism by which the N-terminus grants IFN resistance was previously unknown. This project demonstrated that the N-terminus prevents the initiation of programmed necrosis through host-encoded cellular proteins RIP3 and DAI. These findings provide insight into the function of the N-terminus of E3, as well as the unique functions of induced programmed necrosis.
This project was an example of “basic” research. However, it highlights the interconnectivity of basic and applied research and the danger in isolating both projects and perspectives. It points to the difficult decisions that must be made in science, and the need for a better research classification system that considers what makes science “good” outside of antiquated social class ideologies that have shaped science since ancient Greece. While there are no easy answers to determine what makes research “good,” thinking critically about the types of research projects that will be pursued, and the effects that research has on both science and society, will raise awareness, initiate new conversations, and encourage more dialogue about science in the 21st century.