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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Description
Introduction: There is currently a lack of industry-wide gold standardization in accelerometer study
protocols, including within sleep-focused studies. This study seeks to address accuracy of
accelerometer data in detection of the beginnings and ends of sleep bouts in young adults with
polysomnography (PSG) corroboration. An existing algorithm used to differentiate valid/invalid wear
time and detect bouts of sleep has been modified with the goal of maximizing accuracy of sleep bout
detection. Methods: Three key decisions and thresholds of the algorithm have been modified with three
experimental values each being tested. The main experimental variable Sleepwindow controls the
amount of time before and after a determined bout of sleep that is searched for additional sedentary
time to incorporate and consider part of the same sleep bout. Results were compared to PSG and sleep
diary data for absolute agreement of sleep bout start time (START), end time (END) and time in bed
(TIB). Adjustments were made for outliers as well as sleep latency, snooze time, and the sum of both.
Results: Only adjustments made to a sleep window variable yielded altered results. Between a 5-, 15-,
and 30-minute window, a 15-minute window incurred the least error and most agreement to
comparisons for START, while a 5-minute window was best for END and TIB. Discussion: Contrary
to expectation, corrections for snooze, latency, and both did not substantially improve agreement to
PSG. Algorithm-derived estimates of START and END always fell after sleep diary and PSG both,
suggesting either participants’ sedentary behavior beginning and ends were at a delay from sleep and
wake times, or the algorithm estimates consistently later times than appropriate. The inclusion of a
sleep window variable yields substantial variety in results. A 15-minute window appears best at
determining START while a 5-minute window appears best for END and TIB. Further investigation on
the optimal window length per demographic and condition is required.
protocols, including within sleep-focused studies. This study seeks to address accuracy of
accelerometer data in detection of the beginnings and ends of sleep bouts in young adults with
polysomnography (PSG) corroboration. An existing algorithm used to differentiate valid/invalid wear
time and detect bouts of sleep has been modified with the goal of maximizing accuracy of sleep bout
detection. Methods: Three key decisions and thresholds of the algorithm have been modified with three
experimental values each being tested. The main experimental variable Sleepwindow controls the
amount of time before and after a determined bout of sleep that is searched for additional sedentary
time to incorporate and consider part of the same sleep bout. Results were compared to PSG and sleep
diary data for absolute agreement of sleep bout start time (START), end time (END) and time in bed
(TIB). Adjustments were made for outliers as well as sleep latency, snooze time, and the sum of both.
Results: Only adjustments made to a sleep window variable yielded altered results. Between a 5-, 15-,
and 30-minute window, a 15-minute window incurred the least error and most agreement to
comparisons for START, while a 5-minute window was best for END and TIB. Discussion: Contrary
to expectation, corrections for snooze, latency, and both did not substantially improve agreement to
PSG. Algorithm-derived estimates of START and END always fell after sleep diary and PSG both,
suggesting either participants’ sedentary behavior beginning and ends were at a delay from sleep and
wake times, or the algorithm estimates consistently later times than appropriate. The inclusion of a
sleep window variable yields substantial variety in results. A 15-minute window appears best at
determining START while a 5-minute window appears best for END and TIB. Further investigation on
the optimal window length per demographic and condition is required.
ContributorsMartin, Logan Rhett (Author) / Buman, Matthew (Thesis director) / Toledo, Meynard John (Committee member) / Kurka, Jonathan (Committee member) / College of Health Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2019-12
Description
Realistically, everyone should either be in jail or in court for crimes that everybody
commits. Outside of the house, there are people speeding, jaywalking, littering, sharing
medication, and driving without seat belts. Inside the house, people are downloading
music/movies, drinking while underage, using (and abusing) social media while under the age of
18, and reading another person’s mail. With so much of a focus on serious crimes, or felonies,
people tend to forget about the everyday actions in America that are also illegal. For example, a
police officer may not do anything if several cars are going well over the speed limit on the
highway, because it is normalized. This paper explores two sides of this issue: the psychological
side and the legal side. The goal is to find out how culpable people really are for their actions
when they do not have the mental intent that the they are determined to have in court. All human
behavior will be divided into two sections (people with non-extreme mental disorders and people
who have total control over their behavior). First, I dive into the complexity of anxiety,
depression, and ADHD, and explain how these disorders will subtly change someone’s behavior.
Next, I examine how actions like speeding and jaywalking and explain how certain illegal
actions have become so normalized that people may not be very guilty, even when they are
knowingly committing these crimes. I use different misdemeanors as examples for each of these
types of behaviors to argue why people should be more culpable (aggravating factors) or less
culpable (mitigating factors) because of their respective predispositions. Finally, I discuss issues
of fixing the criminal justice system such as: how to make all punishments fair/accurate, how to
fix the public’s distrust towards the law, and how to stop these normalized illegal behaviors for
all people, regardless of mental health or intent.
commits. Outside of the house, there are people speeding, jaywalking, littering, sharing
medication, and driving without seat belts. Inside the house, people are downloading
music/movies, drinking while underage, using (and abusing) social media while under the age of
18, and reading another person’s mail. With so much of a focus on serious crimes, or felonies,
people tend to forget about the everyday actions in America that are also illegal. For example, a
police officer may not do anything if several cars are going well over the speed limit on the
highway, because it is normalized. This paper explores two sides of this issue: the psychological
side and the legal side. The goal is to find out how culpable people really are for their actions
when they do not have the mental intent that the they are determined to have in court. All human
behavior will be divided into two sections (people with non-extreme mental disorders and people
who have total control over their behavior). First, I dive into the complexity of anxiety,
depression, and ADHD, and explain how these disorders will subtly change someone’s behavior.
Next, I examine how actions like speeding and jaywalking and explain how certain illegal
actions have become so normalized that people may not be very guilty, even when they are
knowingly committing these crimes. I use different misdemeanors as examples for each of these
types of behaviors to argue why people should be more culpable (aggravating factors) or less
culpable (mitigating factors) because of their respective predispositions. Finally, I discuss issues
of fixing the criminal justice system such as: how to make all punishments fair/accurate, how to
fix the public’s distrust towards the law, and how to stop these normalized illegal behaviors for
all people, regardless of mental health or intent.
ContributorsHildebrand, David Abel (Author) / Rigoni, Adam (Thesis director) / Cavanaugh-Toft, Carolyn (Committee member) / School of Social Transformation (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Stress activates physiological systems within the body to protect oneself against the potential harmful effects of enduring long-term stress. Past studies have shown that structures involved in timing are implicated in a number of psychological disorders and further are sensitive to stress. In this experiment, Sprague Dawley rats are trained to perform a perspective timing task and are then exposed to twice-daily chronic variable stress for 21 days. Behavioral data are collected, followed by post-mortem tissue analysis of the PFC, hippocampus, and striatum. This study aims to examine the morphological changes in key brain regions such as the hippocampus that appear to be involved in interval timing. Additionally, this study aims to confirm that dendritic complexity in the hippocampus produces consistent data using a classic Sholl analysis versus using a virtual image-stacking software, Neurostackr. The results of this study demonstrate that the expected Gaussian graph produced from a classic Sholl analysis was produced from both a long-shaft and short-shaft neuron found in the hippocampus using the virtual technology. These findings verify that a virtual image-stacking software and Sholl analysis will suffice in place of the traditional method of hand traced neurons on a transparent sheet with concentric circles to count bifurcation points. This virtual method ultimately reduces cost, improves timeliness of data collection, and eliminates some of the subjectivity of human error.
ContributorsGarcia, Jasmine Brooke (Author) / Sanabria, Federico (Thesis director) / Gupta, Tanya (Committee member) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Dementia is a collective term used to describe symptoms of cognitive impairment in learning and memory. The most prevalent form of dementia is Alzheimer’s disease (AD). In order to understand the pathological mechanisms associated with AD, animal models have been created. These various mouse models replicate the pathology found in humans with AD. As a consequence of the fact that this disease impairs cognitive abilities in humans, testing apparatuses have been developed to measure impaired cognition in animal models. One of the most common behavioral apparatuses that has been in use for nearly 40 years is the Morris water maze (MWM). In the MWM, animals are tasked to find a hidden platform in a pool of water and thereby are subjected to stress that can unpredictably influence cognitive performance. In an attempt to circumvent such issues, the IntelliCage was designed to remove the external stress of the human experimenter and provide a social environment during task assessment which is fully automated and programable. Additionally, the motivation is water consumption, which is less stressful than escaping a pool. This study examined the difference in performance of male and female cohorts of APP/PS1 and non-transgenic (NonTg) mice in both the MWM and the IntelliCage. Initially, 12-month-old male and female APP/PS1 and NonTg mice were tested in the hippocampal-dependent MWM maze for five days. Next, animals were moved to the IntelliCage and underwent 39 days of testing to assess prefrontal cortical and hippocampal function. The results of this experiment showed significant sex differences in task performance, but inconsistency between the two testing paradigms. Notably, males performed significantly better in the MWM, which is consistent with prior research. Interestingly however, APP/PS1 females showed higher Amyloid-β plaque load and performed significantly better in the more complex tasks of the IntelliCage. This suggests that Aβ plaque load may not directly contribute to cognitive deficits, which is consistent with recent reports in humans with AD. Collectively, these results should inform scientists about the caveats of behavioral paradigms and will aid in determining translation to the human condition.
ContributorsMifflin, Marc Anthony (Author) / Velazquez, Ramon (Thesis director) / Mastroeni, Diego (Committee member) / School of Geographical Sciences and Urban Planning (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05