Digital Commons Network^™

Writer Identity Using Stylometry And Machine Learning, Abdulla Alshuweihi, Sultan Alblooshi

Theses

This particular study will be based on linguistics and stylometric use to find or identify the legitimate authors of the text. For this purpose, the study is expected to use the machine learning approach or framework that consists of various features to sort out and find the style of writing belonging to the right author. The machine learning approach is accompanied by the support of SAS (Statistical Analysis System).

SAS covers the algorithms problems required for better accurate functioning of machine learning approach experiments. In this learning framework, the experiments use a large amount of data to sort and filter …

Rite Of Identity, Youmee Lee

Theses

Rite of Identity, a graduate thesis film, is a 2D animated visual poem of deaf children’s experiences. The film follows the protagonist’s journey in navigating a visual realm and a black-and-white realm, which represent the deaf world and the hearing world. Childhood experiences of struggling to assimilate into mainstream society are conveyed through the protagonist in the black-and-white realm. The purpose of the film is to encourage the viewers to think about what it is like for a child to be underestimated and to struggle with a soundscape that is not perceived naturally in the realm. Deaf children have a …

Predicting & Optimizing Airlines Customer Satisfaction Using Classification, Mhd Ridwan Alhabbal

Theses

This research is going to be a machine learning project that aims to study the various factors that may play a role in forming customer satisfaction response and tries to figure out which attributes or combination of them are the driver of positive customer satisfaction. The research is going to use initially some dataset from Kaggle (explained in the section of data source) in order to run machine learning algorithms and creating a predictor that would help airlines in predicting which customers are satisfied and trying to have a proactive reaction in case of negative feedback, so we can make …

The Effect Of Experiential Avoidance And Committed Action On The Relationship Between Anxiety And Quality Of Life In Chronically Ill And Healthy Students, Rufaida Mohammed N Alkhanji

Theses

Chronic illness and anxiety are two factors that have been shown to negatively impact quality of life. In order to better understand the impact of chronic illness on quality of life, researchers have been interested in studying the effects of experiential avoidance and committed action. This thesis aims to examine the roles of experiential avoidance and committed action as potential mediators in the relationship between anxiety and quality of life. It also aims to compare the occurrence of the studied relationships in students with and without chronic illness. 547 participants from two Arab universities completed self-report measures assessing their levels …

Investigating The Factors Impacting School Leadership’S Feedback And Feedforward Receptivity And Learning As Perceived By The Emirates Schools Establishment Staff, Hesham Rashad Badawy

Theses

This thesis is concerned with “Investigating the Factors Impacting School Leadership’s Feedback and Feedforward Receptivity and Learning as Perceived by the Emirates Schools Establishment Staff”. The study aims to identify if there is any existing interplay between the four domains: mindset, feedback orientation, feedback environment, and learning climate and how they impact feedback receptivity and learning. The study utilizes an explanatory sequential mixed research method. The rigorous quantitative data from the 5-point Likert scale survey was used as a basis for the semi-structured interview discussions after calculating the scores for each domain and staff member. The findings of the first …

Investigating Kandinsky's Inspiration From Michelangelo Buonarroti, Asal F. Morvari

Theses

This study aims to analyze Kandinsky's The Last Judgment painting and compare it with Michelangelo's The Last Judgment to show that Michelangelo's work influenced Kandinsky's painting. For this study, the mixed-methods methodology is applied, which refers to an emergent methodology of research that advances the systematic integration or combining of quantitative and qualitative analysis within a single investigation. Mathematical analysis and a review of Kandinsky's books and manuscripts are considered. Image processing analysis is applied using biorthogonal Wavelet analysis and Canny Edge detection, in conjunction with Kandinsky's writings on color theory, to determine whether Kandinsky was inspired by Michelangelo's The …

In Search Of The Pelasgians: Discursive Strategies And Greek Identities From The Archaic Period To The Roman Imperial Era, Tristn Lambright

Theses

In ancient literature, the Pelasgians appear as an ambiguously defined and geographically ubiquitous primeval ethnic group or tribe. Various classical writers describe the Pelasgians as simultaneously pre-Hellenic and non-Hellenic –– ancestral and barbarian, chronologically earlier and essentially different. The ongoing ideological and rhetorical negotiations of Pelasgian identity in ancient literature played a critical role in discussions of Greekness –– discussions rooted in the distant past, informed by fluid and contradictory myths, and shaped by intellectual, social, and political transformations of the period. By contextualizing these discussions, this study attempts not simply a reconstruction of the mythological Pelasgians, but a reconstruction …

Nlp And Ml Methods For Pre-Processing, Clustering And Classification Of Technical Logbook Datasets, Farhad Akhbardeh

Theses

Technical logbooks are a challenging and under-explored text type in automated event identification. These texts are typically short and written in non-standard yet technical language, posing challenges to off-the-shelf NLP pipelines. These datasets typically represent a domain (a technical field such as automotive) and an application (e.g., maintenance). The granularity of issue types described in these datasets additionally leads to class imbalance, making it challenging for models to accurately predict which issue each logbook entry describes. In this research, we focus on the problem of technical issue pre-processing, clustering, and classification by considering logbook datasets from the automotive, aviation, and …

Towards Multimodal Open-World Learning In Deep Neural Networks, Manoj Acharya

Theses

Over the past decade, deep neural networks have enormously advanced machine perception, especially object classification, object detection, and multimodal scene understanding. But, a major limitation of these systems is that they assume a closed-world setting, i.e., the train and the test distribution match exactly. As a result, any input belonging to a category that the system has never seen during training will not be recognized as unknown. However, many real-world applications often need this capability. For example, self-driving cars operate in a dynamic world where the data can change over time due to changes in season, geographic location, sensor types, …

A Multi-Criteria Decision-Making (Mcdm) Approach For Data-Driven Distance Learning Recommendations, Aysha Meshaal Alshamsi

Theses

Distance learning has been adopted as an alternative learning strategy to the dominant face-to-face teaching methodology. It has been largely implemented by many governments worldwide due to the spread of the COVID-19 pandemic and the implication in enforcing lockdown and social distancing. In emergency situations distance learning is referred to as Emergency Remote Teaching (ERT). Due to this dynamic, sudden shift, and scaling demand in distance learning, many challenges have been accentuated. These include technological adoption, student commitments, parent involvement, and teacher extra burden management, changes in the organization methodology, in addition to government development of new guidelines and regulations …

Supporting The Maintenance Of Identifier Names: A Holistic Approach To High-Quality Automated Identifier Naming, Anthony S. Peruma

Theses

A considerable part of the source code is identifier names-- unique lexical tokens that provide information about entities, and entity interactions, within the code. Identifier names provide human-readable descriptions of classes, functions, variables, etc. Poor or ambiguous identifier names (i.e., names that do not correctly describe the code behavior they are associated with) will lead developers to spend more time working towards understanding the code's behavior. Bad naming can also have detrimental effects on tools that rely on natural language clues; degrading the quality of their output and making them unreliable. Additionally, misinterpretations of the code, caused by poor names, …

Hate Speech Detection In A Mix Of English And Hindi-English (Code-Mixed) Tweets, Mohamed Sameer

Theses

With the increasing usage of social networking platforms seen over recent years, there has been an extensive rise in hate speech usage between the users. Hence, Government and social media platforms face lots of responsibility and challenges to control, detect and eliminate massively growing hateful content as early as possible to prevent future criminal acts such as cyber violence and real-life hate crimes. Since Twitter is used globally by people from various backgrounds and nationalities, the platform contains tweets posted in different languages, including code-mixed language, namely Hindi-English. Due to the informal format of tweets with variations in spelling and …

A Non-Traditional Approach: Seventeenth-Century Dutch Women Artists And The Nocturnal Genre Scene Market, Jordan J. Harris

Theses

Nocturnal genre scenes were on the rise in the seventeenth-century Netherlands. With new technologies and advances taking place during this time, people were staying out later and partaking in more nocturnal activities. Both men and women engaged in these new nightly endeavors, but there were still notable expectations in regards to gender roles for men and women. As seen in the scholarship included within this thesis, men were allotted more freedom than women. The Dutch artists who chose to specialize in nocturnal genre scenes depicted these well-known gender roles within their paintings. Seventeenth-century women artists Judith Leyster and Gesina ter …

Cross-Cultural Currents And Syncretism In Early Modern Opossum Iconography, Deniz Martinez

Theses

Opossums (Order Didelphimorphia) are marsupial mammals endemic to the Americas. They are also the first marsupials Europeans ever encountered, over a century before any Australasian species. Because of their unique marsupial characteristics, opossums have historically been viewed as an “anomalous” animal form across both Indigenous American and European cultures, and thus developed a rich and complex transatlantic cultural history. By tracing the development of opossum imagery through the millennia, one can uncover clear patterns of how their distinct features became embedded in iconographies relative to biogeocultural sphere, and how certain iconographic conventions were transmitted through various media both within and …

Why Did You Clone These Identifiers? Using Grounded Theory To Understand Identifier Clones, Luis Angel Gutierrez Galaviz

Theses

Developers spend most of their time comprehending source code, with some studies estimating this activity takes between 58% to 70% of a developer’s time. To improve the readability of source code, and therefore the productivity of developers, it is important to understand what aspects of static code analysis and syntactic code structure hinder the understandability of code. Identifiers are a main source of code comprehension due to their large volume and their role as implicit documentation of a developer’s intent when writing code. Despite the critical role that identifiers play during program comprehension, there are no regulated naming standards for …

The Effects Of Corrective Feedback Frequency On Esl Pronunciation Uptake, Repair, And Preference, Rachel Rosemarie Stuckel

Theses

Second language (L2) learning has begun recognizing that intelligibility, comprehensibility, and accentedness influence how nonnative speakers of English are perceived by others. As such, pronunciation instruction is becoming more common in L2 curriculum around the world. Corrective Feedback (CF) is commonly given in the pronunciation classroom to draw attention to and correct learners’ errors. Research has tried to understand what forms of CF are most effective for language learning, how CF affects pronunciation, and what learners believe about CF. What is lesser known is if the frequency or rate of CF affects learner’s uptake and pronunciation error repair. Participants in …

Detection Of Hateful Comments On Social Media, Essa Alzarouni

Theses

Social media usage has grown tremendously in the contemporary communication landscape. Along with its numerous benefits, some users abuse the channels by spreading hatred, far from the intended purpose of building connections on a personal level. To date, an empirical method for detecting, quantifying, and categorizing hateful comments on social networks comprehensively and proactively is still lacking. Besides, majority of the cases remain unreported due to social confounders such as fear of victimization and the psychological implications of hateful comments, leading to a situation whereby, the detrimental effect of the situation is underestimated. The ill-defined situation in the growing online …

Falling Through The Cracks: Two Understudied Populations In The Criminal Justice System, Ashley Hum

Theses

This capstone project aims to identify gaps in the criminal justice literature by examining how the criminal justice system interacts with demographic groups that have been historically overlooked in traditional criminal justice studies, specifically Asian Americans as a racial/ethnic group and LGBTQIA+ individuals of any race or gender identity.

An overarching narrative and finding in the first two sections of the following project is how constructed identities construct narratives and policies. Importantly, the constructed identities are most often assigned by those in power to Asian Americans or LGBTQIA+ people, rather than created for themselves by in-group members, and then become …

Seeing Slavery, Lulu Hamissou

Theses

This paper examines the resilience of Laura Clark, Carrie Davis, and Delia Garlic, three formerly enslaved women from Alabama whose memories and experiences during enslavement were part of a large slave narrative project called Born in Slavery: Slave Narratives from the Federal Writers’ Project, 1936 to 1938. The design exhibition, Seeing Slavery, visually communicates and portrays the accounts and portraits of the three women. Printed and embroidered fabrics visually communicate the narrative stories of these women, while their portraits are made from screen printed acrylic glass.

Following an introduction, a literature review details the history of the three slave …

Comparative Modeling And Evolutionary Comparison Of Serine Protease, A Timber Rattlesnake Venom Protein, Qawer Ayaz

Theses

The aim of this study is to create a homology model of VG35 serine protease and evaluate the evolutionary comparison of secondary structure on basis of protein model using YASARA. This method was furthermore used to predict the potential epitopes which can help in the investigation of future studies.

The VG35 was used to run a BLAST search which gave most resembled serine protease of different species which was then translated and modeled in YASARA. The modeled protein data was then used to determine the secondary structure. This was then used for evolutionary comparison of all proteins to VG35. Then …

Using Machine Learning In Disaster Tweets Classification, Humaid Alhammadi

Theses

People share real-time updates on social media platforms (i.e. Twitter) when disaster occurs, this information is very valuable for disaster relief and response teams as it can alert them immediately in order to prioritize tasks. Text mining and Machine learning algorithm can scan the huge generated unstructured data on social media platforms such as Twitter, to spot such information through keywords and phrases that refers to disasters. One challenge that the algorithm might face is whether a tweet text is talking about a real disaster or uses those keywords as a metaphor, which can lead to huge mislabeling of tweets. …

The Effect Of Google Docs-Based Collaborative Writing On The L2 Writing Quality Of High School Students In The Uae Public Schools, Aliyyeh Abdulrahman

Theses

This study investigated the effect of implementing collaborative writing using Google Docs on students’ writing quality in English. The study also explored students’ and the classroom teacher’s perceptions of Google Docs-based collaborative writing (GDBCW). Two intact classes with 46 students from a public school in Al Ain, United Arab Emirates participated in the study and were divided into an experimental group and a control group. To collect data, the researcher employed a pretest- posttest design, distributed a post-treatment student survey, and conducted an interview with the classroom teacher. Data were analyzed quantitively using a Mann-Whitney U test analysis, and students’ …

Role Of Group Work In Promoting Student To Student Interaction And Motivation In The Efl Classroom, Iman Duw Suwassi

Theses

This thesis is concerned with group work and collaborative learning and teaching in the English as a Foreign Language (EFL) classroom in the UAE. This study aims to discover the role of group work and collaborative learning in promoting student to student interaction and motivation in the English Language Classroom. Three tools were used in this study to collect data. An online student questionnaire and an online student survey were conducted with 15 high school students during a distance learning lesson on Microsoft Teams. The third tool was an online interview conducted via Zoom with the high school English Teacher. …

Technology Assisted Review Of Legal Documents, Malik Umar Hassan

Theses

A legal prediction-based approach will help judges and solicitors to take judicial decisions on current cases, which are going on in courts, and make predictions on new cases on the basis of existing references and judgments. This model also helps law students learn about legal references. This application was developed specifically for the “Supreme Court of Pakistan (SCP)” and the “Pakistan Bar Council (PBC)” to expedite their judgments and provide legal guidance to lawyers based on historical data and constitutions.

English Language Teachers’ Perceptions Of Implementing Digital Game-Based Learning In The Uae Middle Schools, Israa Mohammed Abbas

Theses

This study investigates how English teachers perceive the use and implementation of DGBL in middle schools in the United Arab Emirates. Digital game-based learning is a relatively new method that is being integrated into the classroom. This method requires ICT skills in line with pedagogy to be practiced in a meaningful way. The main objective of this study is to highlight the positive aspects and the obstacles that teachers may face when using DGBL in the classroom. The study used a mix of methods to answer the research questions. The first phase used the quantitative method through a questionnaire distributed …

Jury Nullification : An Extralegal History, Kim Straub

Theses

This paper examines the changing cultural understandings of jury nullification, with a particular focus on non-judicial explanations from 1700 to 1850; how colonial executives, American legislatures, and the public understood acts of nullification. Early eighteenth-century observers tended to classify acts of jury nullification as anecdotal events placed in a strict socio-moral framework. Revolution brought about a radical new vision of nullification. Beginning in the 1750s, nullification was understood in a new hyper-political way that emphasized jury agency and independence. By the 1820s, the public returned to a socio-moral understanding of nullification. Once again, acts of nullification were explained as a …

Perspectives Of Reading For Pleasure Pedagogy In Western Australian School Classrooms, Jessica Nailer

Theses

Australian children read for pleasure less and less as they move through primary school, with a noticeable decline emerging in the middle primary school years. Reading for Pleasure at School (RfPS) also appears to have become de-prioritised in primary schools, with greater emphasis in the broader literacy education dialogue placed on instructional reading pedagogy and standardised literacy testing. This research focused on the pedagogy that meaningfully supports RfPS in Years 3-6, within a framework of school culture, teacher practices and the physical environment. This investigation aimed to explore the perspectives of three key stakeholder groups from one Western Australian independent …

The Golden Age Of The Economics Of Bureaucracy, Chang-Yeh (Michael) Wu

Theses

The economics of bureaucracy (EOB) is a field of research that emerged from the public choice movement in the mid-1960s through to the early 1970s. It entailed applying traditional economic theories and modelling techniques to study decision-making in non-market hierarchies that are often referred to as bureaucracies. The field was pioneered and codified by Gordon Tullock, Anthony Downs, and William Niskanen in what may be called the ‘golden age’ of EOB. Establishing EOB as a bona fide research domain was a challenging intellectual enterprise due to the absence of a pre-existing conceptual framework to readily model bureaucracies within the economics …

Tourism Trails And Resurgent Pathways: An Exploration Of The Nexus Between Indigenous-Led Tourism And Resurgence Discourses Alongside Karajarri Traditional Owners Of The Saltwater Kimberley, Australia, And Beyond, Bobbie Chew Bigby

Theses

This research explores the intersections between Indigenous-led tourism and resurgence among Indigenous communities. Resurgence is understood as practices promoting connections with culture, Country (i.e. Indigenous lands and waterways), and community. The research utilises a comparative case study approach to specifically analyse the experience of Karajarri Traditional Owners (TOs) of the saltwater Kimberley region of northwestern Australia. Comparative examples are drawn from Indigenous-led tourism development by other coastal Kimberley Aboriginal tourism leaders, as well as from the author’s own Tribal Nation, the Cherokee Nation of Oklahoma, United States.

The conceptual framework for this work is derived from the following concepts from …

Correlating Sentiment In Reddit’S Wallstreetbets With The Stock Market Using Machine Learning Techniques, Sultan Ali Alzaabi

Theses

The issue that this study addresses is to observe whether there exists a statistical relation between the stock market and Reddit’s wallstreetbets. Previous research mainly focused on the relation between the stock market and Twitter. To gather data for the study, comments were scrapped from the subreddit wallstreetbets for a period of four months, Jan 1, 2021, till April 30, 2021. Different sentiment classifiers were, then, applied on a sample of the data to observe the most accurate classifier for the study. The study concluded that the most accurate sentiment classifier was an SVM classifier trained on 80% of Reddit …