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- All Subjects: Fiction
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Description
At present, the vast majority of human subjects with neurological disease are still diagnosed through in-person assessments and qualitative analysis of patient data. In this paper, we propose to use Topological Data Analysis (TDA) together with machine learning tools to automate the process of Parkinson’s disease classification and severity assessment. An automated, stable, and accurate method to evaluate Parkinson’s would be significant in streamlining diagnoses of patients and providing families more time for corrective measures. We propose a methodology which incorporates TDA into analyzing Parkinson’s disease postural shifts data through the representation of persistence images. Studying the topology of a system has proven to be invariant to small changes in data and has been shown to perform well in discrimination tasks. The contributions of the paper are twofold. We propose a method to 1) classify healthy patients from those afflicted by disease and 2) diagnose the severity of disease. We explore the use of the proposed method in an application involving a Parkinson’s disease dataset comprised of healthy-elderly, healthy-young and Parkinson’s disease patients.
ContributorsRahman, Farhan Nadir (Co-author) / Nawar, Afra (Co-author) / Turaga, Pavan (Thesis director) / Krishnamurthi, Narayanan (Committee member) / Electrical Engineering Program (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
This thesis dives into the world of artificial intelligence by exploring the functionality of a single layer artificial neural network through a simple housing price classification example while simultaneously considering its impact from a data management perspective on both the software and hardware level. To begin this study, the universally accepted model of an artificial neuron is broken down into its key components and then analyzed for functionality by relating back to its biological counterpart. The role of a neuron is then described in the context of a neural network, with equal emphasis placed on how it individually undergoes training and then for an entire network. Using the technique of supervised learning, the neural network is trained with three main factors for housing price classification, including its total number of rooms, bathrooms, and square footage. Once trained with most of the generated data set, it is tested for accuracy by introducing the remainder of the data-set and observing how closely its computed output for each set of inputs compares to the target value. From a programming perspective, the artificial neuron is implemented in C so that it would be more closely tied to the operating system and therefore make the collected profiler data more precise during the program's execution. The program is designed to break down each stage of the neuron's training process into distinct functions. In addition to utilizing more functional code, the struct data type is used as the underlying data structure for this project to not only represent the neuron but for implementing the neuron's training and test data. Once fully trained, the neuron's test results are then graphed to visually depict how well the neuron learned from its sample training set. Finally, the profiler data is analyzed to describe how the program operated from a data management perspective on the software and hardware level.
ContributorsRichards, Nicholas Giovanni (Author) / Miller, Phillip (Thesis director) / Meuth, Ryan (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This creative project consists of three short stories with a common theme of release, letting go, and exhalation. Nymphal Instar is a story about Tommy, a young boy, and his encounter with his uncle, a troubled man who has just returned from war. The story explores the idea of growth and maturation, and the ability to move past and let go of trauma. A Cat Goes Away is about a young man, Richard, who is required to simultaneously deal with the loss of his cat and the suicide attempts of his sister. He also runs into his sister's ex-husband and is forced to deal with him. The story explores the difficulty in recognizing one's own emotions and the importance of knowing the difference between what one can change and what one cannot. Since Diagnosis is a story about Kate, a woman who has just been diagnosed with cancer and who is unable to tell her loved ones. The story explores acceptance and the idea that letting go can allow one to live more fully. Though the three stories are disparate in their characters and events, they share a commonality in their endings and in the final realizations of the characters. There is a focus on the importance of breath and breathing, and the essentiality of acceptance and release.
ContributorsMyers, Alan Yutaka (Author) / McNally, T. M. (Thesis director) / Irish, Jenny (Committee member) / School of International Letters and Cultures (Contributor) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
"The Problem of Hope: Literary Tragedy in Mid-Twentieth Century American Fiction" examines Arthur Miller's Death of a Salesman, Ralph Ellison's Invisible Man, and Sylvia Plath's The Bell Jar through the lens of tragedy. This thesis delves into how conflicts between internal and external identities can create a tragic individual, what kinds of success count toward achievement of the "American Dream," and whether the tragic "common man" is the socially normative one or the socially disenfranchised one. It raises a three-dimensional theoretical approach to American tragedy and, most importantly, considers the significance of tragic hope for American literature. This paper questions the construction of American identities across class, race, and gender according to social scripts. It seeks to uncover what forces these scripts exert on American cultural myths and rereads those myths through tragedy to explore Miller's idea of a noble common man. By moving from Miller to Ellison to Plath, this thesis traces the undercurrents of tragedy through some of the most identity-focused novels of mid-twentieth century American fiction to see how the overarching American narrative changed from 1940 to 1969 as the US underwent significant social changes domestically and image changes abroad. Ultimately, this paper concludes that tragedy in mid-twentieth century American fiction points toward a new idea of American success as a success that occurs beyond social scripts.
ContributorsMedeiros, Amy Marie (Author) / Holbo, Christine (Thesis director) / Sadowski-Smith, Claudia (Committee member) / Department of English (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Bots tamper with social media networks by artificially inflating the popularity of certain topics. In this paper, we define what a bot is, we detail different motivations for bots, we describe previous work in bot detection and observation, and then we perform bot detection of our own. For our bot detection, we are interested in bots on Twitter that tweet Arabic extremist-like phrases. A testing dataset is collected using the honeypot method, and five different heuristics are measured for their effectiveness in detecting bots. The model underperformed, but we have laid the ground-work for a vastly untapped focus on bot detection: extremist ideal diffusion through bots.
ContributorsKarlsrud, Mark C. (Author) / Liu, Huan (Thesis director) / Morstatter, Fred (Committee member) / Barrett, The Honors College (Contributor) / Computing and Informatics Program (Contributor) / Computer Science and Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
Description
The seven interconnected short stories of Miserablists spring from a reality created by its protagonist and ostensible author: Paul Marston, a persistently melancholy undergraduate who tries to exorcise the ghost of a past love by adapting the story into a screenplay for a film entitled Miserablists. What happens to our identity, Paul asks, in post-narrative selfhood—that is, when the meaningful narratives we’ve told ourselves about others and ourselves collapse?
In other stories (wherein Paul tries—and often fails—to figure himself a secondary character), the tangled lives of his immediate social circle unravel, overlap, and disintegrate amidst the decaying milieu of the Scene and the maddening sprawl of Phoenix. A brief sampling of happenings: Sophie confronts ideological qualms with capitalism by way of a summer gig selling knives to depressed housewives; Brett nearly burns a house down on the Fourth of July; hallucinogenic kombucha is foisted upon a hapless Alex; black mold overtakes Paul’s residence; etc.
The core text is followed by an afterword supposedly written by (the perhaps psychotic) Saul P. Thomas Marton, Ph.D. and acts as an academic analysis of the nonexistent film adaption of Miserablists. There, Marton places Marston’s work in conversation with many influential critical text and works of fiction that shaped the formation of Miserablists (including Roland Barthes’ Lover’s Discourse, Slavoj Žižek’s The Plague of Fantasies, and Alain Robbe-Grillet’s Last Year at Marienbad).
In other stories (wherein Paul tries—and often fails—to figure himself a secondary character), the tangled lives of his immediate social circle unravel, overlap, and disintegrate amidst the decaying milieu of the Scene and the maddening sprawl of Phoenix. A brief sampling of happenings: Sophie confronts ideological qualms with capitalism by way of a summer gig selling knives to depressed housewives; Brett nearly burns a house down on the Fourth of July; hallucinogenic kombucha is foisted upon a hapless Alex; black mold overtakes Paul’s residence; etc.
The core text is followed by an afterword supposedly written by (the perhaps psychotic) Saul P. Thomas Marton, Ph.D. and acts as an academic analysis of the nonexistent film adaption of Miserablists. There, Marton places Marston’s work in conversation with many influential critical text and works of fiction that shaped the formation of Miserablists (including Roland Barthes’ Lover’s Discourse, Slavoj Žižek’s The Plague of Fantasies, and Alain Robbe-Grillet’s Last Year at Marienbad).
ContributorsWebb, Zachariah Kaylar (Author) / Gilfillan, Daniel (Thesis director) / Garrison, Gary (Committee member) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Twitter, the microblogging platform, has grown in prominence to the point that the topics that trend on the network are often the subject of the news and other traditional media. By predicting trends on Twitter, it could be possible to predict the next major topic of interest to the public. With this motivation, this paper develops a model for trends leveraging previous work with k-nearest-neighbors and dynamic time warping. The development of this model provides insight into the length and features of trends, and successfully generalizes to identify 74.3% of trends in the time period of interest. The model developed in this work provides understanding into why par- ticular words trend on Twitter.
ContributorsMarshall, Grant A (Author) / Liu, Huan (Thesis director) / Morstatter, Fred (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
Description
With the development of technology, there has been a dramatic increase in the number of machine learning programs. These complex programs make conclusions and can predict or perform actions based off of models from previous runs or input information. However, such programs require the storing of a very large amount of data. Queries allow users to extract only the information that helps for their investigation. The purpose of this thesis was to create a system with two important components, querying and visualization. Metadata was stored in Sedna as XML and time series data was stored in OpenTSDB as JSON. In order to connect the two databases, the time series ID was stored as a metric in the XML metadata. Queries should be simple, flexible, and return all data that fits the query parameters. The query language used was an extension of XQuery FLWOR that added time series parameters. Visualization should be easily understood and be organized in a way to easily find important information and details. Because of the possibility of a large amount of data being returned from a query, a multivariate heat map was used to visualize the time series results. The two programs that the system performed queries on was Energy Plus and Epidemic Simulation Data Management System. By creating such a system, it would be easier for people of the project's fields to find the relationship between metadata that leads to the desired results over time. Over the time of the thesis project, the overall software was completed, however the software must be optimized in order to take the enormous amount of data expected from the system.
ContributorsTse, Adam Yusof (Author) / Candan, Selcuk (Thesis director) / Chen, Xilun (Committee member) / Barrett, The Honors College (Contributor) / School of Music (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
Description
Paraprosdokian is a collection of stories about all different types of lives in Phoenix, AZ. There are several stories that work together, involving lonely teenagers at punk house shows, while the rest standalone: the eclectic interactions of a waiter at a 24-hour diner, a blind fair ride operator with a propensity for accidental murder, a hapless son of a clumsy dental assistant, a literary scholar stuck in an addiction to both Kafka and pornography, a kid who learns that writing is not a formula, and a high school death that nobody cares about. Some pieces unfold parts of 21st century culture that have been knotted in ambivalence, like how men raised on pornography reconcile with intimacy, while others are as simple as trying to encapsulate the experience of growing up in what is often perceived as an artless suburbia. The project aims at mixing prose with photography to create, as Ben Lerner describes it, “a constellation of language and image”—a complete artistic product. Using the work of a local Arizona photographer, the collection complicates a reader’s elementary notion of a “picture book” by forcing the reader to view photographs beyond exposition or symbolism. The title of the collection comes from a term used in comedic rhetoric that refers to a figure of speech in which the latter part of a statement or phrase reorients one’s understanding of the whole. Under this definition, the collection seeks to amend its author and reader’s orientation to Phoenix in a quest for empathy, giving pathetic characters a chance to speak without ever sacrificing a touch of humorous joy.
ContributorsFritz, Chandler Harrison (Author) / Soares, Rebecca (Thesis director) / Farmer, Steve (Committee member) / Department of English (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
DescriptionA collection of chronological, interconnected short stories following the lives and changes of a family throughout the 20th century, connected through the generations by unifying objects carried in from story to story.
ContributorsGilboa, Inbal (Author) / Bell, Matt (Thesis director) / Soares, Rebecca (Committee member) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05