Digital Commons Network^™

Can Machine Learning Beat Physics At Modeling Car Crashes?, Gavin Byrne

Dissertations

This study aimed to look at a traditional method used for measuring the severity and principle direction of force of a car crash and see if it could be improved on using machine learning models. The data used was publicly available from the NHTSA database and included descriptions of the vehicle, test and sensors as well as the accelerometer data over the period of the crashes. The models built were SVM classifiers and multinomial regression models. Although the SVM and Regression models were built successfully and gave higher levels of accuracy than the momentum models in terms of the severity, …

Comparing The Effectiveness Of Support Vector Machines And Convolutional Neural Networks For Determining User Intent In Conversational Agents, Kieran O Sullivan

Dissertations

Over the last fifty years, conversational agent systems have evolved in their ability to understand natural language input. In recent years Natural Language Processing (NLP) and Machine Learning (ML) have allowed computer systems to make great strides in the area of natural language understanding. However, little research has been carried out in these areas within the context of conversational systems. This paper identifies Convolutional Neural Network (CNN) and Support Vector Machine (SVM) as the two ML algorithms with the best record of performance in ex isting NLP literature, with CNN indicated as generating the better results of the two. A …

Through The Net: Investigating How User Characteristics Influence Susceptibility To Phishing, Charlie Marriott

Dissertations

In the past 25 years, the internet has grown and evolved from a niche networking technology, used almost exclusively by researchers and enthusiasts, into the driving force of modern economies. Fraud has evolved too, with rates of cybercrime on the increase as criminals become increasingly sophisticated in using technology to deceive their victims. The world is an online place, and data is the new oil. Phishing is a form of social engineering that is not that different from traditional fraud. Phishing attackers try to trick their victims into revealing valuable private information, usually for financial gain, by posing as a …

Automation Of Authorisation Vulnerability Detection In Authenticated Web Applications, Niall Caffrey

Dissertations

In the beginning the World Wide Web, also known as the Internet, consisted mainly of websites. These were essentially information depositories containing static pages, with the flow of information mostly one directional, from the server to the user’s browser. Most of these websites didn’t authenticate users, instead, each user was treated the same, and presented with the same information. A malicious party that gained access to the web server hosting these websites would usually not gain access to confidential information as most of the information on the web server would already be accessible to the public. Instead, the malicious party …

Assesing Completeness Of Solvency And Financial Condition Reports Through The Use Of Machine Learning And Text Classification, Ruairí Nugent

Dissertations

Text mining is a method for extracting useful information from unstructured data through the identification and exploration of large amounts of text. It is a valuable support tool for organisations. It enables a greater understanding and identification of relevant business insights from text. Critically it identifies connections between information within texts that would otherwise go unnoticed. Its application is prevalent in areas such as marketing and political science however, until recently it has been largely overlooked within economics. Central banks are beginning to investigate the benefits of machine learning, sentiment analysis and natural language processing in light of the large …

An Exploration Of Parliamentary Speeches In The Irish Parliament Using Topic Modeling, Fiona Leheny

Dissertations

The only resource available in the public domain which highlights parliamentary ac tivity is parliamentary questions. Up until the last ten years, manual content analysis was carried out to classify these. More recently, machine learning techniques have been used to automatically classify and analyse these data sets. This study analyses the verbal parliamentary speeches in the Irish Parliament (known as the D´ail) over a ten year period using unsupervised machine learning. It does so by applying a less utilised topic modeling technique, known as Non-negative Matrix Factorisation (NMF), to de tect the latent themes in these speeches. A two-layer dynamic …

Identifying And Scoping Context-Specific Use Cases For Blockchain-Enabled Systems In The Wild., Fiona Delaney

Dissertations

Advances in technology often provide a catalyst for digital innovation. Arising from the global banking crisis at the end of the first decade of the 21st Century, decentralised and distributed systems have seen a surge in growth and interest. Blockchain technology, the foundation of the decentralised virtual currency Bitcoin, is one such catalyst. The main component of a blockchain, is its public record of verified, timestamped transactions maintained in an append-only, chain-like, data structure. This record is replicated across n-nodes in a network of co-operating participants. This distribution offers a public proof of transactions verified in the past. Beyond tokens …

Longitudinal Stratified Structure As Tunable Platform Using Liquid Crystal At Terahertz Regime, Abubaker Mustafa Tareki

Dissertations

In recent years, the terahertz (THz) band of the electromagnetic spectrum has received considerable attention. The THz region falls above the RF (radio frequency- gigahertz frequencies) engineering and falls below IR (infrared frequencies). The region has been referred to as the terahertz gap because it has been highly underutilized in spite of the fact that THz waves have unique properties that provide advantages in medical and defense applications. The increase in THz research has been a result of the significant advances in THz sources and detectors. To continue the advancement of THz technology, component research that can actively manage the …

Comprehensive Functional And Transcriptional Analysis Of Human Pancreatic Islets From Controls And Individuals With Type 1 Diabetes (T1d), Shristi Shrestha

Dissertations

Type 1 Diabetes is chronic disease where immune moderated destruction of insulin producing β cells disrupts normal glucose homeostasis in the body. Recent findings show that few β cells remain in the pancreatic islets decades after disease onset challenging the previous understanding that β cells are completely destroyed. Overcoming the limited availability of T1D tissues, we studied functional and molecular features of pancreatic islets from individuals with T1D and investigated the nature of the remaining β cells. We found that remnant β cells have normal insulin secretory function and normally express key transcription factor that regulates β cell function. On …

Plasmonic Metamaterials For Enhanced Light Transmission, Absorption, And Antireflection Coating, Wonkyu Kim

Dissertations

In this dissertation work, subwavelength optical metamaterial structures were investigated for control of light transmission, absorption, and antireflection coating. These metamaterial structures are gold apertures for enhanced light transmission, gold subwavelength gratings for antireflection, and metal-insulator-metal structures for perfect light absorption. Gold apertures with star shapes on glass transmit light via excitation of surface plasmon wave, which is extraordinary transmission. It was found that the transmittance spectra depend on the period and the shape of the apertures. Gold subwavelength grating structure metamaterials exhibit dielectric property in one direction and metallic property in the other direction, functioning as polarization-selective antireflection coating. …

Exploring The Features To Classify The Musical Period Of Western Classical Music, Arturo Martínez Gallardo

Dissertations

Music Information Retrieval (MIR) focuses on extracting meaningful information from music content. MIR is a growing field of research with many applications such as music recommendation systems, fingerprinting, query-by-humming or music genre classification. This study aims to classify the styles of Western classical music, as this has not been explored to a great extent by MIR. In particular, this research will evaluate the impact of different music characteristics on identifying the musical period of Baroque, Classical, Romantic and Modern. In order to easily extract features related to music theory, symbolic representation or music scores were used, instead of audio format. …

Investigating The Application Of Deep Convolutional Neural Networks In Semi-Supervised Video Object Segmentation, Jayadeep Sasikumar

Dissertations

This thesis investigates the different approaches to video object segmentation and the current state-of-the-art in the discipline, focusing on the different deep learning techniques used to solve the problem. The primary contribution of the thesis is the investigation of usefulness of Exponential Linear Units as activation functions for deep convolutional neural architectures trained to perform object semi-supervised segmentation in videos. Mask R-CNN was chosen as the base convolutional neural architecture, with the view of extending the image segmentation algorithm to videos. Two models were created, one with Rectified Linear Units and the other with Exponential Linear Units as the respective …

A Study Of Collaborative Skills Of Graduates Of A National, Faith-Based, Leadership Development Program, Eileen Kooreman

Dissertations

Collaboration is often cited as a long-term benefit of participation in leadership development programs. Successful collaboration requires unique leadership skills, which rely on trust and influence rather than authority and position. Collaboration takes place over the passage of time. Evaluation of leadership development programs that focus on outcomes after the passage of time is rare making it difficult to confirm if a relationship between the collaborative skills taught and measurable collaboration activity exists.

This study was able to draw on the alumni of the DeVos Urban Leadership Initiative, a national faith-based leadership development program that maintains on-going relationships with its …

Chemical Modification Of Poly(Hydroxyalkanoate)S (Pha)S Via "Click' Chemistry, Samuel Nkrumah-Agyeefi

Dissertations

Poly(hydroxyalkanoate)s, PHAs, due to their biocompatibility and biodegradability have found many useful applications in biomedicine, prominently in the cardiovascular area. The spectrum of applications can be further expanded for PHAs by post biosynthetic chemical modification of terminal functional side chain groups. This should allow for the development of PHA platforms suited for specialized applications such as coatings, temporary medical implants, wound dressings etc. and for which novel applications can be envisioned. In this dissertation, four specific “click” chemistry tools, copper catalyzed azide-alkyne cycloaddition (CuAAC), strain promoted azide-alkyne cycloaddition (SPAAC), thiol-yne radical “click” reaction and thiol-halogen nucleophilic substitution, have been studied …

Nanostructure Plasmonics For Biochemical Sensing, Hong Guo

Dissertations

In this dissertation work, several surface plasmon resonance nanostructure devices were investigated for biochemical sensing applications. First, optical resonance properties of diabolo nanoantenna arrays were investigated. Diabolo nanoantenna arrays with different waist widths and periods were fabricated and characterized. It was found that the waist width is critical to control the plasmon resonant wavelength. Second, a hybrid plasmon photonic crystal superperiod nanohole grating array was fabricated on a glass substrate and characterized. It was found that the new optical resonance spectrometer based on hybrid photonic crystal and plasmonic structure can measure plasmonic resonance that cannot be measured with a regular …

Digital Literacy In Early Elementary School: Barriers And Support Systems In The Era Of The Common Core, Delnaz Hosseini

Dissertations

This study examines teachers’ perceptions about digital literacy instruction in early elementary school grades (e.g., Kindergarten through grade 2) so as to identify existing obstacles to digital literacy instruction as well as support systems necessary to enhance instruction. Participants (n = 37) included Kindergarten, first, and second grade teachers from both Title I and non-Title I schools. Data was collected through an online survey with primarily closed-ended questions. Correlations and relationships amongst and across survey questions were analyzed. Analysis revealed that early elementary grade students in this school district are provided with more opportunities to practice computer literacy than …

The Impact Of Media Influence About Hair Texture On Internalized Racial Oppression, Ethnic Identity, And Self-Efficacy, Kristy L. La Mar

Dissertations

Problem

African American women and matters of importance pertaining to African American women are understudied and lacking within research. Understanding the ways in which majority culture media influences aspects related to women of color, especially those pertaining to hair texture, and their impact is essential to bring about awareness and mobilize changes that will positively affect the lives of Black women. Representation matters. When minority women of any culture value the majority culture they tend to devalue themselves. Representation matters and is important because if self-esteem, worth, goodness, and virtue is only portrayed in majority culture aesthetics, internalization of those …

Simple Goodness And Ethical Theory, Sarah Marie Babbitt

Dissertations

This work is an examination of the concept of simple goodness and its role in ethicaltheory. I argue on pragmatic and epistemic grounds that simple goodness (SG), commonly referred to as "good simpliciter," is problematic for ethical theory and for ethical discourse generally. I begin by defining SG, focusing on the original account developed by G.E. Moore, and I argue that it is an intrinsic value in several senses. I review the arguments of prominent critics of SG, namely Peter Geach, Judith Jarvis Thomson, and Richard Kraut, who focus on the logical and metaphysical puzzles inherent to the concept of …

The Impact Of Mood On Health Behaviors And Quality Of Life For Women With Cardiovascular Disease, Jacqueline Ann Tulley

Dissertations

Methods/Measurements: A cross-sectional correlational design explored the relationships between symptoms, functional status, health perceptions and QoL in women with CVD. The aims of the study were: 1) to determine the relationship of symptoms (depression/anxiety) to functional status (health-promoting behaviors), health perceptions (illness perception), and QoL; and 2) to determine whether age is a factor contributing to negative mood symptoms, functional status, health perceptions, and QoL after controlling for social support. Measurements were collected at one time-point to address these aims that included the following: biological function (Framingham Recurrent Risk Model and Functional Comorbidity Index), symptoms (Patient Health Questionnaire-8 and Generalized …

Political Essentialism And Affective Polarization, Chase Wilson

Dissertations

Affective polarization, the phenomenon of liberals and conservatives treating each other as disliked outgroups, is increasingly intense (Iyengar & Westwood, 2015; Pew, 2016). In the present research, I used the construct of psychological essentialism (Medin & Ortony, 1989) to help understand this intergroup phenomenon. Specifically, I measured political essentialism, or the belief that political ideologies are strongly determined, informative, discrete and/or immutable, and tested the relationship between these beliefs and affective polarization. I approached this question with both correlational and experimental methods. In a correlational study, political essentialism overall is found to covary positively with affective polarization and social avoidance …

Effective Leadership For The Implementation Of The Common Core State Standards: Principal Behaviors That Develop Professional Capital To Create Conditions For Positve Change, Eileen Beth Brett

Dissertations

Identifying specific leadership behaviors of elementary school principals that create conditions for positive change is critical to implementing educational reform. The purpose of this research is to identify specific leadership behaviors of principals that have positively impacted the implementation of the Common Core State Standards through the development of professional capital.

The Common Core Standards represent a recent movement to create national standards, founded on the belief that schools have an obligation to ensure that all students are college and career ready (McLaughlin & Overturf, 2012; Conley; 2014a). Implementing the Common Core has challenged principals to develop leadership skills to …

The Enzymatic Activity And Inhibition Of Dape Encoded N-Succinyl-L,L-Diaminopimelic Acid Dessucinylase, Tahirah Heath

Dissertations

The bacterial enzyme DapE is a hydrolase in the late stage of the mDAP/lysine biosynthetic pathway that catalyzes the hydrolysis of N-succinyl-L,L-diaminopimelic acid (L,L-SDAP) to succinic acid and L,L-diaminopimelate (DAP). The product DAP is ultimately converted to m-DAP and then to lysine which is used in the construction of proteins, whereas for humans, lysine is an essential amino acid obtained through diet. DapE has been shown to be conserved across many strains of bacteria. The m-DAP produced through the succinylase pathway is used by both gram negative and gram-positive bacteria in the construction of the essential peptidoglycan cell wall. Because …

A Discrete Loop In Serca N-Domain Plays A Role In Serca Headpiece Dynamics And Function, Olga N. Raguimova

Dissertations

The sarco/endoplasmic reticulum calcium ATPase (SERCA) is the major regulator of Ca2+ levels in the cell. Deficient calcium handling in the heart has been linked to heart failure, a leading cause of death in developed countries. As of today, targeting SERCA to enhance cardiac function has not been successful due to lack of details about SERCA structural dynamics during Ca2+ transport.

In my research, I utilized MD simulations and variety of physical assays to determine the role of Nβ5-β6 loop in regulation of SERCA structural dynamics during Ca2+ transport. Previous MD simulations by our lab predicted that the Nβ5-β6 loop …

Nitric Oxide Inhibits Biofilm Formation By Vibrio Fischeri Via The Nitric Oxide Sensor Hnox, Cecilia Thompson

Dissertations

Nitric oxide (NO) is an important signal secreted by the squid, Euprymna scolopes, and is thought to limit symbiotic biofilm formation, the initial step in colonization by the bacterium, Vibrio fischeri. Previous work demonstrated that a mutant defective for NO-sensor HnoX (heme nitric oxide/oxygen binding) had a competitive advantage over wild-type V. fischeri, but the mechanism by which this occurred remains unknown. HnoX is encoded upstream of hahK, a recently identified positive regulator of biofilm formation. I thus hypothesized that HnoX inhibits colonization by controlling HahK-induced biofilm formation during the initiation of colonization.

I assessed the impact of an hnoX …

Characterization Of Cross-Genre Writing Skills In Children With And Without Autism Spectrum Disorders: The Role Of Language, Handwriting, And Cognitive Processing, Elizabeth Hilvert

Dissertations

It has been estimated that writing is one of the most significant academic problems for children with Autism Spectrum Disorder (ASD), with as many as 60% of children having a learning disability in writing (Mayes & Calhoun, 2008). The majority of evidence demonstrating this achievement gap, however, comes from research finding global writing deficits, using standardized tests. As a result, a number of questions remain about how the texts constructed by children with ASD specifically align or deviate from typical development. For instance, do these texts differ in terms of vocabulary, grammar, or structure? Are children with ASD better at …

Shaping Black Boys: Exploring School Construction Of Masculinity And The Impact On Black Male Scholastic Perceptions Toward Academic Achievement And Schooling, Kisha V. Jenkins

Dissertations

African American boys face unique challenges. They are more likely to be suspended or expelled from school than any other racial group (Losen, 2015). Equally disturbing, African American male students are largely suspended for more subjective and ambiguous reasons such as appearing “threatening or disrespectful” (Verdugo, 2007, p. 60). Research on teacher bias in the classroom has indicated that “African American males are generally viewed as possessing characteristics incongruent with academic success (e.g., laziness), valuing athletics over academic accomplishments, and having a propensity toward aggression and violence” (Thomas & Stevenson, 2009, p. 162). These issues experienced by African American males …

Activism And Identity: How Asian American College Students Define Contemporary Activism For Social Justice, Lester Manzano

Dissertations

Since the height of student activism in the 1960s, little research has explored how college students conceptualize and define activism for social justice. In addition, the extant literature on student activism has been limited in its treatment of marginalized communities, including Asian American students. Given an increase in students’ self-reporting that they expect to engage in student activism while in college (Eagan et al., 2016), students’ engagement in conventional forms of activism may be on the rise, but how contemporary activism is defined needs to be examined from the perspective of student activists themselves. Thus, contemporary notions of student activism …

An Examination Of School Psychologists’ Exposure To And Preparedness To Support Transgender Students In Schools, Natalie Meier Meier

Dissertations

The purpose of this study was to examine school psychologists’ professional practice in relation to transgender youth. The frequency with which school psychologists engage in the professional guidelines outlined by the National Association of School Psychologists (NASP) in their position statement: "Safe Schools for Transgender and Gender Diverse Students" was explored as well as school psychologists’ feelings of preparedness to complete these duties. Results indicate rural practitioners and school psychologists in elementary and middle schools feel the least prepared to implement the NASP best practices for serving transgender students. School psychologists working in non-rural and high school settings with more …

Asian American Engagement In Racial Justice: Journeys Through Identity Development And Critical Consciousness, Megan Segoshi

Dissertations

This dissertation study explored how ten Asian Americans' racial identity and critical consciousness were connected to their engagement in racial justice work. Guided by Critical Race Theory, the researcher conducted semi-structured qualitative interviews to understand how and why Asian Americans developed a commitment to racial justice work, not only for Asian Americans, but for other communities of color.

Predicting Happiness - Comparison Of Supervised Machine Learning Techniques Performance On A Multiclass Classification Problem, Dorota Nieciecka

Dissertations

In the modern world, especially in contemporary economies and politics, a population's subjective well-being is a frequent subject of the public debate. As comparisons of happiness levels in different countries are published, different circumstances and their effect on the value of the subjective well-being reported by people are also analysed. However, a significant amount of the research related to subjective well-being and its determinants is still based upon survey answers and employing conventional statistical methods providing details regarding correlations and causality between different factors and subjective well-being. Application of Supervised Machine Learning techniques for prediction of subjective well-being may provide …