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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Description
Amyotrophic lateral sclerosis (ALS), also known as Lou Gehrig's disease, is a devastating illness that causes the degeneration of both upper and lower motor neurons, leading to eventual muscle atrophy. ALS rapidly progresses into paralysis, with patients typically dying due to respiratory complications within three to five years from the

Amyotrophic lateral sclerosis (ALS), also known as Lou Gehrig's disease, is a devastating illness that causes the degeneration of both upper and lower motor neurons, leading to eventual muscle atrophy. ALS rapidly progresses into paralysis, with patients typically dying due to respiratory complications within three to five years from the onset of their symptoms. Even after many years of research and drug trials, there is still no cure, and current therapies only succeed in increasing life-span by approximately three months. With such limited options available for patients, there is a pressing need to not only find a cure, but also make new treatments available in order to ameliorate disease symptoms. In a genome-wide association study previously conducted by the Translational Genomics Research Institute (TGen), several single-nucleotide polymorphisms (SNPs) upstream of a novel gene, FLJ10968, were found to significantly alter risk for ALS. This novel gene acquired the name FGGY after publication of the paper. FGGY exhibits altered levels of protein expression throughout ALS disease progression in human subjects, and detectable protein and mRNA expression changes in a mouse model of ALS. We performed co-immunoprecipitation experiments coupled with mass spectrometry in order to determine which proteins are associated with FGGY. Some of these potential binding partners have been linked to RNA regulation, including regulators of the splicesomal complex such as SMN, Gemin, and hnRNP C. To further validate these findings, we have verified co-localization of these proteins with one another. We hypothesize that FGGY plays an important role in ALS pathogenesis, and we will continue to examine its biological function.
ContributorsTerzic, Barbara (Author) / Jensen, Kendall (Thesis director) / Francisco, Wilson (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Chemistry and Biochemistry (Contributor) / School of Life Sciences (Contributor)
Created2014-05
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Description
Globalization has necessitated cross-cultural communication among groups and individuals alike, often beginning with management. This project considers how the degree of Power Distance, one of Hofstede's cultural dimensions, may change over time as a result of exposure to different, and often opposing, cultural values. We conducted two surveys 12 weeks

Globalization has necessitated cross-cultural communication among groups and individuals alike, often beginning with management. This project considers how the degree of Power Distance, one of Hofstede's cultural dimensions, may change over time as a result of exposure to different, and often opposing, cultural values. We conducted two surveys 12 weeks apart collecting an initial sample of 317 and retaining a secondary sample of 142. We gathered data on demographics, education, on-campus involvement, cultural dimensions, and levels of comfort with different cultures. Through data analysis we found that as a result of exposure to different cultural values, cultural groups adjust their own views on Power Distance. Specifically, we found that the Anglo cultural group and the international cultural subgroup that had been living in the U.S. for less than 10 years trended towards each other on levels of Power Distance. We also found that international female students adjusted to new cultural surroundings faster than their male counterparts. These discoveries have led us to conclusions regarding the influence of awareness of other cultural values through international exposure, specifically that of Power Distance, as well as male versus female differences in cultural adjustment, and how differing views might trend towards each other with recurrent interaction.
ContributorsNiren, Alyssa (Co-author) / Davidson, Rachel (Co-author) / Lee, Peggy (Thesis director) / Zhang, Zhen (Committee member) / Department of Supply Chain Management (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of International Letters and Cultures (Contributor) / Department of Information Systems (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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Description
The role of retention and forgetting of context dependent sensorimotor memory of dexterous manipulation was explored. Human subjects manipulated a U-shaped object by switching the handle to be grasped (context) three times, and then came back two weeks later to lift the same object in the opposite context relative to

The role of retention and forgetting of context dependent sensorimotor memory of dexterous manipulation was explored. Human subjects manipulated a U-shaped object by switching the handle to be grasped (context) three times, and then came back two weeks later to lift the same object in the opposite context relative to that experience on the last block. On each context switch, an interference of the previous block of trials was found resulting in manipulation errors (object tilt). However, no significant re-learning was found two weeks later for the first block of trials (p = 0.826), indicating that the previously observed interference among contexts lasted a very short time. Interestingly, upon switching to the other context, sensorimotor memories again interfered with visually-based planning. This means that the memory of lifting in the first context somehow blocked the memory of lifting in the second context. In addition, the performance in the first trial two weeks later and the previous trial of the same context were not significantly different (p = 0.159). This means that subjects are able to retain long-term sensorimotor memories. Lastly, the last four trials in which subjects switched contexts were not significantly different from each other (p = 0.334). This means that the interference from sensorimotor memories of lifting in opposite contexts was weaker, thus eventually leading to the attainment of steady performance.
ContributorsGaw, Nathan Benjamin (Author) / Santello, Marco (Thesis director) / Helms Tillery, Stephen (Committee member) / Buneo, Christopher (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Harrington Bioengineering Program (Contributor)
Created2013-05
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

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
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Description
There exists a notable gender gap in the field of economics. One explanation for this gap is the low supply of women entering the economics labor market. To understand the shortage of female economics students, I observe students at the undergraduate and graduate level. My data consists of a sample

There exists a notable gender gap in the field of economics. One explanation for this gap is the low supply of women entering the economics labor market. To understand the shortage of female economics students, I observe students at the undergraduate and graduate level. My data consists of a sample of current undergraduate students and a sample of past Ph.D. applicants at Arizona State University. The gender gaps in these samples, both at the undergraduate and graduate level, can largely be explained by the variation in mathematical preparation of the students. The data reveals that undergraduate male economics students are more frequently enrolled in higher level math courses compared to female undergraduate students. Likewise, a higher number of male Ph.D. applicants have stronger mathematical backgrounds relative to female Ph.D. applicants. This common factor might explain the higher supply of male students who apply and get accepted to postgraduate studies in economics, relative to female students, holding all else constant. I conclude with the following recommended interventions: make information regarding postgraduate opportunities in economics more readily available, and increase math requirements for a bachelor’s degree in economics at ASU.
ContributorsZafari, Zorah (Author) / Datta, Manjira (Thesis director) / Zafar, Basit (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / School of Social Transformation (Contributor, Contributor) / Department of Economics (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Description
The Population Receptive Field (pRF) model is widely used to predict the location (retinotopy) and size of receptive fields on the visual space. Doing so allows for the creation of a mapping from locations in the visual field to the associated groups of neurons in the cortical region (within the

The Population Receptive Field (pRF) model is widely used to predict the location (retinotopy) and size of receptive fields on the visual space. Doing so allows for the creation of a mapping from locations in the visual field to the associated groups of neurons in the cortical region (within the visual cortex of the brain). However, using the pRF model is very time consuming. Past research has focused on the creation of Convolutional Neural Networks (CNN) to mimic the pRF model in a fraction of the time, and they have worked well under highly controlled conditions. However, these models have not been thoroughly tested on real human data. This thesis focused on adapting one of these CNNs to accurately predict the retinotopy of a real human subject using a dataset from the Human Connectome Project. The results show promise towards creating a fully functioning CNN, but they also expose new challenges that must be overcome before the model could be used to predict the retinotopy of new human subjects.
ContributorsBurgard, Braeden (Author) / Wang, Yalin (Thesis director) / Ta, Duyan (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / Computer Science and Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05
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Description

Using a dataset of ASU students from the 2016-2017 cohort, we interact gender and parent education level to observe gaps in academic achievement. We see a statistically insignificant achievement gap for males across parent education level, but a statistically significant achievement gap for females across parent education level. We also

Using a dataset of ASU students from the 2016-2017 cohort, we interact gender and parent education level to observe gaps in academic achievement. We see a statistically insignificant achievement gap for males across parent education level, but a statistically significant achievement gap for females across parent education level. We also observe dropout gaps among these interaction groups. We see the widest dropout gap being between males across parent education level, with the smallest dropout gap being between females across parent education level. So with males we see an insignificant achievement gap but the widest dropout gap across parent education level, and with females we see a significant achievement gap but the smallest dropout gap across parent education level. What is driving these gaps and causing more similarly performing students to drop out at wider rates? At the aggregate level, we see larger gaps in grade- associated dropout probability across parent education level for males which may be able to explain the larger difference in overall proportions of dropouts between males. However, when predicting dropout probability of the semester with the most first generation and non-first generation dropouts, we see that females have the largest differences across parent education level in grade-associated dropout probability. This suggests that our model may be best suited in using college achievement data to predict overall dropout probabilities, not next-semester dropout probabilities using current semester data. Our findings also suggest that first generation students’ dropout probability is more sensitive to the grades they receive than non-first generation students.

ContributorsHartman, Ryan (Author) / Aucejo, Esteban (Thesis director) / Larroucau, Tomas (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor)
Created2022-05
ContributorsOsman, Yara (Author) / Ali, Souad (Thesis director) / Bristol, Rachel (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2024-05
Description
The field of neuroscience continues to grow in findings and opportunity. Similarly, this Honor’s Thesis aims to increase the diversity within the field. This children's book, Making Sense of Your Senses seeks to foster an early interest in the wonders of the brain by making neuroscience accessible to young readers

The field of neuroscience continues to grow in findings and opportunity. Similarly, this Honor’s Thesis aims to increase the diversity within the field. This children's book, Making Sense of Your Senses seeks to foster an early interest in the wonders of the brain by making neuroscience accessible to young readers through comprehensible text and entertaining illustrations.
ContributorsOsman, Yara (Author) / Ali, Souad (Thesis director) / Bristol, Rachel (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2024-05
ContributorsOsman, Yara (Author) / Ali, Souad (Thesis director) / Bristol, Rachel (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2024-05