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A Study on How to Approach Data Mining Problems Cameron Askew Faculty Advisor: Eric Jiang Department of Computer Science
Data mining is a new and growing practice of Computer Science which helps discover previously unknown patterns from large data sets using a combination of artificial intelligence, statistics and database management. Due to the wide variety of data mining problems, there are few standards defining how to approach a problem. This project considers how to appropriately construct a data mining solution for a specific problem. Previously proven algorithms including random forests, neural networks, multiple regressions, and gradient boosting will be tested to evaluate their effectiveness in different scenarios. More refined techniques may be tested for less common problems. As a result, we will have a better understanding of why different techniques are more appropriate for different problems.
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The Impact of Leadership Style on Employee Motivation Daniel Beeunas Faculty Advisor: Veronica Galvรกn Department of Psychological Sciences
This research evaluates the impact of three different leadership styles (Transformational, Transactional, and Passive/Avoidant) on employee motivation using a hypothetical scenario which participants must read.
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Identifying Myostatin (MSTN) Sequence and Expression Patterns in Yellowtail (Seriola lalandi) Using PCR Alyssa Bernardi Faculty Advisor: Sue Lowery Department of Biology
Myostatin (MSTN) is a negative regulator of skeletal muscle growth in fish and other vertebrates and has been associated with affecting fish growth by limiting muscle masses and fiber diameter. Treatments or diets that result in a downregulation of myostatin expression should be effective in stimulating growth of California yellowtail (Seriola lalandi), an important aquaculture species. Primers were designed for degenerate polymerase chain reaction (PCR) based on the conserved MSTN sequence in bony fish. Yellowtail genomic DNA was used as a template and two fragments of the California yellowtail MSTN gene were amplified, cloned, and sequenced. Using information from these two smaller sequences, a larger portion of the MSTN gene was cloned using nondegenerate PCR. The yellowtail MSTN sequence will be used to design primers for qPCR in order to study the effects of exercise on expression of myostatin in juvenile fishes reared under elevated current velocity.
44 C R EAT I V E CO L LA B O R AT I O N S
/ Afternoon Poster Session