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- Creators: Barrett, The Honors College
Description
For my thesis, I designed a program called Plexify that would take in truth tables as CSV files and be able to generate the minimized sum of products or product of sums expression for any of the output variables in the truth table. My program can run on any Windows device and the repository for the program can be found at https://github.com/RockPalmer/Plexify.
ContributorsPalmer, Rock (Author) / Osburn, Steven (Thesis director) / Platt, Dane (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-05
ContributorsPalmer, Rock (Author) / Osburn, Steven (Thesis director) / Platt, Dane (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-05
ContributorsPalmer, Rock (Author) / Osburn, Steven (Thesis director) / Platt, Dane (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-05
ContributorsPalmer, Rock (Author) / Osburn, Steven (Thesis director) / Platt, Dane (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-05
Description
The cerebellum is recognized for its role in motor movement, balance, and more recently, social behavior. Cerebellar injury at birth and during critical periods reduces social preference in animal models and increases the risk of autism in humans. Social behavior is commonly assessed with the three-chamber test, where a mouse travels between chambers that contain a conspecific and an object confined under a wire cup. However, this test is unable to quantify interactive behaviors between pairs of mice, which could not be tracked until the recent development of machine learning programs that track animal behavior. In this study, both the three-chamber test and a novel freely-moving social interaction test assessed social behavior in untreated male and female mice, as well as in male mice injected with hM3Dq (excitatory) DREADDs. In the three-chamber test, significant differences were found in the time spent (female: p < 0.05, male: p < 0.001) and distance traveled (female: p < 0.05, male: p < 0.001) in the chamber with the familiar conspecific, compared to the chamber with the object, for untreated male, untreated female, and mice with activated hM3Dq DREADDs. A social memory test was added, where the object was replaced with a novel mouse. Untreated male mice spent significantly more time (p < 0.05) and traveled a greater distance (p < 0.05) in the chamber with the novel mouse, while male mice with activated hM3Dq DREADDs spent more time (p<0.05) in the chamber with the familiar conspecific. Data from the freely-moving social interaction test was used to calculate freely-moving interactive behaviors between pairs of mice and interactions with an object. No sex differences were found, but mice with excited hM3Dq DREADDs engaged in significantly more anogenital sniffing (p < 0.05) and side-side contact (p < 0.05) behaviors. All these results indicate how machine learning allows for nuanced insights into how both sex and chemogenetic excitation impact social behavior in freely-moving mice.
ContributorsNelson, Megan (Author) / Verpeut, Jessica (Thesis director) / Bimonte-Nelson, Heather (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2024-05
Contributorsde Haas, Justin (Author) / Reed, Sada (Thesis director) / Johnson, Rich (Committee member) / Barrett, The Honors College (Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor) / Sandra Day O'Connor College of Law (Contributor)
Created2024-05
Contributorsde Haas, Justin (Author) / Reed, Sada (Thesis director) / Johnson, Rich (Committee member) / Barrett, The Honors College (Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor) / Sandra Day O'Connor College of Law (Contributor)
Created2024-05
Contributorsde Haas, Justin (Author) / Reed, Sada (Thesis director) / Johnson, Rich (Committee member) / Barrett, The Honors College (Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor) / Sandra Day O'Connor College of Law (Contributor)
Created2024-05
Contributorsde Haas, Justin (Author) / Reed, Sada (Thesis director) / Johnson, Rich (Committee member) / Barrett, The Honors College (Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor) / Sandra Day O'Connor College of Law (Contributor)
Created2024-05
Description
American democracy is perishing, and in order to address this trend, we must improve our perceptive and communicative abilities. To begin, this thesis examines the different influences that affect the behavior of American voters, some of which are innately political and some that are not. American polarization, social media, the two-party system, human hardwiring, and a general lack of incentive to engage are all examined at length to set the table for solutions. Solutions, in the context of this thesis, are not policy solutions but rather internal solutions. Given that democracy is such a participatory process, it appears most useful to provide tangible, personal takeaways. By exploring how to harness the power of influence, epistemic humility, open-mindedness, and appropriate media consumption, we have the tools necessary to pursue a more refined free speech society and democracy. If democracy is something the American collective is interested in preserving, we must adjust the way we process the world, and in this thesis, the foundations are set for a more productive democracy.
ContributorsMulder, Jordan (Author) / Gruber, Diane (Thesis director) / Eric Ramsey, Ramsey (Committee member) / Barrett, The Honors College (Contributor) / School of Social and Behavioral Sciences (Contributor)
Created2024-05