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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.

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
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Description
In recent years, companies have been expanding their business efforts on a global scale. This project explores this expansion of American-based multinational corporations (MNCs) in Ireland, and the comparison of how their culture motivation in the workplace. We did a cultural study using Hofstede and Trompenaars' cultural dimensions of the

In recent years, companies have been expanding their business efforts on a global scale. This project explores this expansion of American-based multinational corporations (MNCs) in Ireland, and the comparison of how their culture motivation in the workplace. We did a cultural study using Hofstede and Trompenaars' cultural dimensions of the two countries then used McClelland's Needs Theory, Equity Theory, and Herzberg's Motivation-Hygiene Theory in order to create three research questions. (1) How does the manager define success for the firm as a whole and for their employees, (2) How is the definition of success reflected in the company's corporate culture (i.e. values, norms and practices), along with how cultural values, norms and practices affect the company, and (3) How do external forces (i.e. governmental factors, workplace technology, etc.) affect the workplace environment and motivation for employees? With these we hypothesized that for research question 1, we hypothesized that from our study of Hofstede's and Trompenaars' cultural frameworks, Irish employees will show a greater tendency to favor affiliation, nAff, as opposed to a need for achievement, nAch, in American employees, according to McClelland's Needs Theory. For research question 2, we predicted that motivation would be administered through style of feedback to employees and office norms, such as autonomy, flexible hours, and work-life balance. For research question 3, we hypothesized that Ireland would have an impact from external factors such as government and technology, whereas the U.S. employees would face no clear impact. We conducted eight, qualitative interviews using a questionnaire, either in person or via video conference. The interviewees were all managers in some facet and have all had some international experience. Through the analysis of the interviews, we found that the Irish employees focused on how employees are able to help or contribute to a group (nAff), instead of looking at how the contribution of a group can be used to meet individual goals (nAch). The American companies reflected Trompenaars' definition of individualism in which employees focus on collaborating in teams, as long as individual goals are met, and benchmarked collaboration as a performance measure, tying in the need for achievement, for research question one. For the second research question, we found that employees in Ireland had a focus on teamwork in the workplace and much higher respect for work-life balance. American firms, in contrast, had a greater focus on making sure employees were contributing, meeting their goals, and getting their work done. While American firms did acknowledge work-life balance and its importance, there was a priority for coming in early and/or staying late to make sure a job got done. Findings for our third question showed that government factors did impact Ireland more, due to labor laws such as required vacation days in Ireland, and that technology had less of an impact than expected, for both countries. More importantly was our finding that the companies in Ireland were greatly impacted by the decisions made by the business executives in the United States.
ContributorsSong, Jenny Jungwon (Co-author) / Brown, William (Co-author) / Arrfelt, Mathias (Thesis director) / Moore, James (Committee member) / Department of Marketing (Contributor) / Department of Management and Entrepreneurship (Contributor) / W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
After freelancing on my own for the past year and a half, I have realized that one of the biggest obstacles to college entrepreneurs is a fear or apprehension to sales. As a computer science major trying to sell my services, I discovered very quickly that I had not been

After freelancing on my own for the past year and a half, I have realized that one of the biggest obstacles to college entrepreneurs is a fear or apprehension to sales. As a computer science major trying to sell my services, I discovered very quickly that I had not been prepared for the difficulty of learning sales. Sales get a bad rap and very often is the last thing that young entrepreneurs want to try, but the reality is that sales is oxygen to a company and a required skill for an entrepreneur. Due to this, I compiled all of my knowledge into an e-book for young entrepreneurs starting out to learn how to open up a conversation with a prospect all the way to closing them on the phone. Instead of starting from scratch like I did, college entrepreneurs can learn the bare basics of selling their own services, even if they are terrified of sales and what it entails. In this e-book, there are tips that I have learned to deal with my anxiety about sales such as taking the pressure off of yourself and prioritizing listening more than pitching. Instead of trying to teach sales expecting people to be natural sales people, this e-book takes the approach of helping entrepreneurs that are terrified of sales and show them how they can cope with this fear and still close a client. In the future, I hope young entrepreneurs will have access to more resources that handle this fear and make it much easier for them to learn it by themselves. This e-book is the first step.
ContributorsMead, Kevin Tyler (Author) / Sebold, Brent (Thesis director) / Kruse, Gabriel (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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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

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
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Description
Same Bed is a twelve-piece book of poetry that explores the theme of sexual violence. The speaker of the poems is processing the trauma surrounding her rape which leads her to explore her own family's dynamics regarding gender, power, and acknowledgment of sexuality. The speaker also observes the broader issue

Same Bed is a twelve-piece book of poetry that explores the theme of sexual violence. The speaker of the poems is processing the trauma surrounding her rape which leads her to explore her own family's dynamics regarding gender, power, and acknowledgment of sexuality. The speaker also observes the broader issue of how society reacts to rape and the effects that can have on a survivor of sexual violence. In the peak of the manuscript, the speaker pieces together part of her own police report, pinning her own voice and perspective against her rapists.
ContributorsPetersen, Gabrielle Nicole (Author) / Ball, Sally (Thesis director) / Kelsey, Meghan (Committee member) / Sanford School of Social and Family Dynamics (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
The need for automated / computational fact checking has grown substantially in recent times due to the high volume of false information and limited workforce of human fact checkers. This need has spawned research and new developments in this field and has created many different systems and approaches to this

The need for automated / computational fact checking has grown substantially in recent times due to the high volume of false information and limited workforce of human fact checkers. This need has spawned research and new developments in this field and has created many different systems and approaches to this complex problem. This paper attempts to not just explain the most popular methods that are currently being used, but provide experimental results of the comparison of two different systems, the replication of results from their respective papers, and an annotated data-set of different test sentences to be used in these systems.
ContributorsRosenkilde, Trevor Curtis (Author) / Papotti, Paolo (Thesis director) / Candan, Kasim (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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Description
This paper details the specification and implementation of a single-machine blockchain simulator. It also includes a brief introduction on the history & underlying concepts of blockchain, with explanations on features such as decentralization, openness, trustlessness, and consensus. The introduction features a brief overview of public interest and current implementations of

This paper details the specification and implementation of a single-machine blockchain simulator. It also includes a brief introduction on the history & underlying concepts of blockchain, with explanations on features such as decentralization, openness, trustlessness, and consensus. The introduction features a brief overview of public interest and current implementations of blockchain before stating potential use cases for blockchain simulation software. The paper then gives a brief literature review of blockchain's role, both as a disruptive technology and a foundational technology. The literature review also addresses the potential and difficulties regarding the use of blockchain in Internet of Things (IoT) networks, and also describes the limitations of blockchain in general regarding computational intensity, storage capacity, and network architecture. Next, the paper gives the specification for a generic blockchain structure, with summaries on the behaviors and purposes of transactions, blocks, nodes, miners, public & private key cryptography, signature validation, and hashing. Finally, the author gives an overview of their specific implementation of the blockchain using C/C++ and OpenSSL. The overview includes a brief description of all the classes and data structures involved in the implementation, including their function and behavior. While the implementation meets the requirements set forward in the specification, the results are more qualitative and intuitive, as time constraints did not allow for quantitative measurements of the network simulation. The paper concludes by discussing potential applications for the simulator, and the possibility for future hardware implementations of blockchain.
ContributorsRauschenbach, Timothy Rex (Author) / Vrudhula, Sarma (Thesis director) / Nakamura, Mutsumi (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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DescriptionI made a full business plan and pitch to investors for a company I plan on starting next semester.
ContributorsOramas, Michael (Author) / Trujillo, Rhett (Thesis director) / Naumann, Gary (Committee member) / Department of Finance (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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Description
Although there are some key qualities that all good leaders employ, variations in effective leadership approaches are evident across different cultures. This project sought to compare and analyze the differences and similarities in leadership principles between Chinese and American business cultures, with emphasis on the divergence caused by the influences

Although there are some key qualities that all good leaders employ, variations in effective leadership approaches are evident across different cultures. This project sought to compare and analyze the differences and similarities in leadership principles between Chinese and American business cultures, with emphasis on the divergence caused by the influences of history, culture and politics.
ContributorsLe Tourneur, Maxine Archondakis (Author) / McKinnon, David (Thesis director) / LePine, Marcie (Committee member) / Department of Supply Chain Management (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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Description
Through the research of: accredited business articles, wedding sites such as The Knot, personal interviews with brides, research novels, television shows, and movies; this project will depict why and how traditional, American "White Weddings" have become so commercialized by advertisements and businesses as a result of various media channels' reinforcements

Through the research of: accredited business articles, wedding sites such as The Knot, personal interviews with brides, research novels, television shows, and movies; this project will depict why and how traditional, American "White Weddings" have become so commercialized by advertisements and businesses as a result of various media channels' reinforcements of cultural ideals and norms about brides and weddings since the 1920s. The purpose of this paper is to identify the largest cultural and commercial forces that contributed to the growth and expansion of the wedding industry.
ContributorsHovendon, Allison Michelle (Author) / Suk, Mina (Thesis director) / Ostrom, Amy (Committee member) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12