Digital Commons Network^™

In Defense Of Artificial Intelligence, Darrin Dutcher

Honors

AI usage in our society is more prevalent today compared to years ago. Our evolution in computing has created problems that never existed before because of a fundamental lack of security-minded development. Security was always a second thought and never a priority. With the prevalence of AI making security a bigger priority, the question arises if AIs such as ChatGPT, Github Co-pilot, Alpha Go, and Bing AI use the best security practices when implemented. The creation of modern technologies such as phones, the Internet, and computers have all seen horrendous security concerns addressed later on in development. With how technology …

Testing Quantum Computers For Functioning Quantum Hardware, Matthew Lenarz

Honors

If a business was selling quantum computing as a service (QCaaS), how would an end user of the quantum computer know if it was truly quantum? Answering this question involves looking into what differentiates a quantum computer from a classical computer and then understanding how an end user can make a conclusion on what they are operating from. Testing quantum computers from the inside is only valuable for primitive quantum computers, since quantum computers with high numbers of qubits become virtually impossible to accurately simulate with classical computer mechanics. Assuming that visual appearance and exterior hardware do not play a …

Natural Language Processing In Lakhota, Jackson Ruedebusch

Honors

With the original intent to develop a translation tool between Lakota, an indigenous language spoken primarily in the upper great plains, and English, my project was ultimately unsuccessful due to a number of challenges. Hopefully however the lessons learned from this attempt will be valuable to future research and development of language technology for the Lakhota language.

Mining Health Informatics Job Advertisements: Insights For Higher Education Programs And Job Seekers, Ahmed El Noshokaty, Mohammad A. Al-Ramahi, Omar El-Gayar, Abdullah Wahbeh, Tareq Nasralah

Computer Information Systems Faculty Publications (Archived)

This paper used web scraping and data mining to analyze 831 health informatics job advertisements on indeed.com. Results showed that 87% of jobs explicitly required a college degree in a related field, 41% of jobs preferred a graduate degree, while 29% preferred or required professional certification. The analysis showed that preferred skills were analytics problem solving, communication skills, oral communication, interpersonal skills, project management, statistics, and critical thinking. The analysis also showed that college degrees, certifications, and the above-mentioned skill set are in high demand for working in the field of health informatics, especially in states with large populations and …

Evaluation Of Nanoclay Additives For Improving Resistance To Moisture Damage In Hot Mix Asphalt (Hma), Amro El Badawy, Ashraf Rahim

Mineta Transportation Institute

Transportation has an enormous impact on the U.S. economy and on the lives of all Americans. Many modes of transportation rely on pavement, but pavement conditions deteriorate over time because of the combined effects of traffic and climate. Exposure to moisture often causes premature failure of asphalt pavements as it reduces the stiffness of the asphalt and enables stripping of the asphalt from the aggregate. This research evaluates the effectiveness of clay nanomaterials (i.e., nanoclays) in improving the resistance of hot mix asphalt (HMA) to moisture damage and compares the enhancement results to anti-stripping additives commonly used in pavement construction. …

Learning Representations For Novelty And Anomaly Detection, Ranya Almohsen

Graduate Theses, Dissertations, and Problem Reports (ETD)

The problem of novelty or anomaly detection refers to the ability to automatically

identify data samples that differ from a notion of normality. Techniques

that address this problem are necessary in many applications, like in medical

diagnosis, autonomous driving, fraud detection, or cyber-attack detection, just to

mention a few. The problem is inherently challenging because of the openness of

the space of distributions that characterize novelty or outlier data points. This is

often matched with the inability to adequately represent such distributions due

to the lack of representative data.

In this dissertation we address the challenge above by making several …

Source Credibility And Trust Of Media Information Based On Gender Of Reporter, Madison R. Urse

Graduate Theses, Dissertations, and Problem Reports (ETD)

An experiment was used for this study to explore if the gender of a reporter impacts perceived source credibility and thus trust in information. Previous research has shown how gender biases can affect how topics are covered, reported on, perceived and marketed in the journalistic world. Modern media and newsrooms are meant to mirror reality as they convey information to the public, yet women continue to be gatekept out of reporting on certain types of news. Further, changes in the mode of delivery of news are also impacting the journalism landscape. Thus, this study employed a digital stimulus to explore …

Physics Infused Lstm Network For Track Association Based On Marine Vessel Automatic Identification System Data, Tasmiah Haque

Graduate Theses, Dissertations, and Problem Reports (ETD)

In marine surveillance, a crucial task is distinguishing between normal and abnormal vessel movements to timely identify potential threats. Subsequently, the vessels need to be monitored and tracked until necessary action can be taken. To achieve this, a track association problem is formulated where multiple vessels' unlabeled geographic and motion parameters are associated with their true labels. These parameters are typically obtained from the Automatic Identification System (AIS) database, which enables real-time tracking of marine vessels equipped with AIS. The parameters are time-stamped and collected over a long period, and therefore, modeling the inherent temporal patterns in the data is …

Optimizing Sample Collection And Data Interpretation For Effective Wastewater-Based Epidemiology In Combined Sewer Systems, Christopher Allen Anderson

Graduate Theses, Dissertations, and Problem Reports (ETD)

COVID-19 has spurred growth in the science surrounding wastewater-based epidemiology (WBE) pertaining to the detection of severe acute respiratory virus 2 (SARS-CoV-2) in waste streams as an early warning signal for public health. However, the highly variable wastewater environment has made it difficult to standardize an approach for sampling and analysis, especially in locations using combined sewer infrastructure. This study addresses knowledge gaps of WBE via three specific aims: (1) to compare diurnal fluctuations of SARS-CoV-2 and the human fecal indicator, pepper mild mottle virus (PMMoV) in wastewater treatment plant (WWTP) influent samples collected during dry versus wet weather conditions; …

You've Got A Friend: Social Factors And Depressive Symptoms In Older Adults, Erika A. Fenstermacher

Graduate Theses, Dissertations, and Problem Reports (ETD)

Depression in late life has been associated with disability, lower quality of life, increased mortality, and increased risk of suicide (Fiske et al., 2009; Rodda et al., 2011). Research suggests that functional disability, which is often brought about by a medical condition, may precede depressive symptoms and may be a major factor for older adults developing depression (Ormel et al., 2002). Social support can be beneficial for both emotional and physical health (Fiori & Jager, 2021). Numerous studies found evidence that social networks, perceived and subjective social support, and satisfaction with support received moderated the relation between health problems and …

Weigh-In-Motion Data-Driven Pavement Performance Prediction Models, Mohhammad Afsar Sujon

Graduate Theses, Dissertations, and Problem Reports (ETD)

The effective functioning of pavements as a critical component of the transportation system necessitates the implementation of ongoing maintenance programs to safeguard this significant and valuable infrastructure and guarantee its optimal performance. The maintenance, rehabilitation, and reconstruction (MRR) program of the pavement structure is dependent on a multidimensional decision-making process, which considers the existing pavement structural condition and the anticipated future performance. Pavement Performance Prediction Models (PPPMs) have become indispensable tools for the efficient implementation of the MRR program and the minimization of associated costs by providing precise predictions of distress and roughness based on inventory and monitoring data concerning …

The Truth-Default, Diagnostic Utility, And The Value Of Contextual Knowledge In Deceptive Interactions, Heath A. Howard

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation describes and reports an experimental study examining the predictions of truth-default theory (TDT). TDT is an expansive, modular theory of deception detection which explains the processes by which people abandon the truth-default state and navigate judgments of message veracity in conversations. The first goal of this study was to test TDT’s seventh proposition, which explains how communicators abandon the truth-default state through trigger events (i.e., actions which prompt communicators to be uncertain about the accuracy of the message) such as decreased sender believability and message coherence. The second goal of this study was to test the predictions of …

A Comparison Of Endodontic Root-End Filling Techniques: A Micro-Computed Tomography Analysis, Leslie P. Wolford

Graduate Theses, Dissertations, and Problem Reports (ETD)

Introduction:

Researchers have compared the differences between hand compaction of root-end filling bioceramics with compaction of these materials by hand followed by ultrasonic activation (hand/ultrasonic compaction). Additionally, most of these researchers did not utilize Micro-Computed Tomography (Micro-CT) analysis. The purpose of this study is to evaluate total porosity volume of three different bioceramics when compacted by hand alone versus hand/ultrasonic compaction using Micro-CT Analysis.

Materials and methods:

Seventy-two human maxillary central incisors were selected for the study. All were subjected to orthograde endodontic treatment followed by root tip resection 3-mm from the apex at a 90° to the long axis …

Investigating The Change In Pavement Cracking Data Due To Automated Data Collection Methods, Faisal Quibria Chowdhury

Graduate Theses, Dissertations, and Problem Reports (ETD)

Data collection on pavement surface cracks is crucial for the state Departments of Transportation (DOTs) to make informed decisions on maintenance, repair, and rehabilitation (MR&R) activities. The collected cracking data is translated into a pavement performance indicator to assess the condition of pavement sections and identify MR&R needs based on predetermined threshold values set by the state DOTs. State DOTs have transitioned from manual to automated data collection as automation offers many advantages over manual data collection, such as improved data collection rates, efficiency, cost reduction, and safety. As the state DOTs have integrated automated data into the pavement performance …

A Longitudinal Study Of Factors That Affect User Interactions With Social Media And Email Spam, Wojciech M. Mazurek

Graduate Theses, Dissertations, and Problem Reports (ETD)

Given the rapid growth of social media and the increasing prevalence of spam, it is crucial to understand users’ interactions with unsolicited content to develop effective countermeasures against spam. This thesis focuses on exploring the factors that influence users’ decisions to interact with spam on social media and email. It builds upon prior work, which serves as a foundation for further research and conducting a longitudinal analysis. Our results are based on the analysis of 221 responses collected through an online survey. The survey not only gathered demographic information such as age, gender, and race but also collected data on …

An Empirical Analysis Of Approximation Algorithms For The Unweighted Tree Augmentation Problem, Jacob Thomas Restanio

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this thesis, we perform an experimental study of approximation algorithms for the tree augmentation problem (TAP). TAP is a fundamental problem in network design. The goal of TAP is to add the minimum number of edges from a given edge set to a tree so that it becomes 2-edge connected. Formally, given a tree T = (V, E), where V denotes the set of vertices and E denotes the set of edges in the tree, and a set of edges (or links) L ⊆ V × V disjoint from E, the objective is to find a set of edges …

Design And Validation Of An Aerodynamic System For A Formula Sae® Vehicle Using Vehicle Dynamic Simulation And Experimentation, Evan S. Cole

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis presents the design, simulation, and experimental validation for the aerodynamic system for a Formula SAE® vehicle. The Society of Automotive Engineers ® (SAE) hosts a collegiate competition annually called Formula SAE® where students design, fabricate, and test a small “formula style” vehicle. The vehicle performs in relatively slow maneuvers, around different courses and tests to evaluate the vehicle’s overall performance. Over the years, collegiate teams have put significant research into the design and manufacturing of the aerodynamics of these vehicles. In order to justify this undertaking for future teams at West Virginia University’s Formula SAE® program, a comprehensive …

Diversification Of Ergot Alkaloid Biosynthesis In Natural And Engineered Fungi, Kyle Austin Davis

Graduate Theses, Dissertations, and Problem Reports (ETD)

Ergot alkaloids are a complex family of tryptophan-derived mycotoxins produced by a diverse range of fungi that occupy a wide variety of ecological niches including soil saprotrophs, plant endophytes, pathogens of plants or insects, and opportunistic pathogens of humans and other mammals. Ergot alkaloids are a similarly diverse family of chemicals that elicit a variety of pharmacological activities in animals due to their resemblance to neurotransmitters and high binding affinity for neurological receptors, including those that bind adrenaline, dopamine, and 5-hydroxytryptamine receptors. These structural similarities allow us to create medicines aimed at treating a range of neurological diseases and disorders …

Intersectional Microaggressions And Disordered Eating In Asian American Women, Spring Szoka

Graduate Theses, Dissertations, and Problem Reports (ETD)

Disordered eating in college-age women is well-documented. Less is known about minoritized populations and disordered eating for college-age women, especially Asian American women. As Asian Americans are often subjected to the “model minority” myth, less research has been dedicated to understanding disordered eating for this population. Small, everyday slights motivated by the model minority myth and other racial stereotypes are known as microaggressions. Asian American women hold an intersectional identity that places them at risk for experiencing microaggressions from their identity as both a woman and as an Asian American. The purpose of this study was to examine relationships between …

Quantifying Variation In High-Quality Footwear Replicate Impressions, Samantha K. Brady

Graduate Theses, Dissertations, and Problem Reports (ETD)

A footwear impression collected at a crime scene can provide information about the shoe that created it, yielding investigative leads, excluding persons-of-interest, and linking evidence between cases. The analysis of footwear evidence often requires the preparation of test impressions from known exemplar shoes created under controlled laboratory conditions for comparison to questioned impressions. The goal of these comparisons is to evaluate the degree of similarities and differences between the questioned impression and potential sources.

Given that this comparison leads to an assessment of the nature and degree of agreement between questioned and known impressions, it is important to characterize the …

Deadly Divisions: Class And Stigma As Fundamental Social Causes Of Spatial Health Inequalities, Misty Lee Harris

Graduate Theses, Dissertations, and Problem Reports (ETD)

The objective of this dissertation is to investigate how class and stigma influence spatial inequalities in health across the US, from the structural to the individual level. Class, stigma, and subsequent access to capital resources are not equally distributed across the US. Women, poor, and minority populations continue to have unequal access to capital resources across the country, though this is spatially determined. Similarly, while there are health inequalities along the same social cleavages at the national level, they differ significantly across localities. Research has not paid enough attention to the fundamental social causes of inequities, resulting in the inability …

The Percussionist's Guide To Music Theory Fundamentals, Mckenna M. Lee

Graduate Theses, Dissertations, and Problem Reports (ETD)

The research priorities that I have established as a theorist, percussionist, and an instructor of both, have led me to a master's thesis project combining music theory practices within the study and performance of percussion repertoire. As the graduate assistant of the percussion department at West Virginia University, I have been teaching applied orchestral percussion lessons and leading percussion ensembles. In my experience, a number of first-year percussionists in the studio at WVU have had a limited background with reading definite pitches on the staff, and struggle with sight-reading and pitch identification, therefore making their Written I and Aural I …

Implementing Test Automation With Selenium Webdriver, Ramana Inturi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Many software programs, such as applications for designing, modeling, simulating, and analyzing systems, are now commonly available as web-based applications. The testing of such sophisticated web applications is highly challenging and can be extremely tedious and error-prone if done manually. Recently automation tools have become increasingly used for testing web-based applications, as they minimize human involvement and repetitive work.

For this problem report project, we have built and implemented an automation testing framework for web applications. The project specifically uses a tool called Selenium WebDriver, which has been used to develop the testing framework. By using this framework, testers may …

Improving The Health And Safety Of Manufacturing Workers By Detecting And Addressing Personal Protective Equipment (Ppe) Violations In Real-Time With The Use Of Automated Ppe Detection Technology, Joseph Olufemi Fasinu

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Centers for Disease Control and Prevention (CDC) emphasized that Personal Protective Equipment (PPE) can significantly reduce the risk of occupational injuries and illnesses. However, improper use, failure to use, and other PPE-related violations can still result in injuries and fatalities. Eye and face protection violation has been one of the top 10 most frequently violated OSHA standards in fiscal years 2018, 2019, 2020, 2021 and 2022 consecutively. A common practice among safety professionals to ensure PPE compliance has been to physically inspect or monitor PPE usage among workers, which has been found to be unsustainable on a continuous real-time …

Robust State Estimation Methods For Robotics Applications, Shounak Das

Graduate Theses, Dissertations, and Problem Reports (ETD)

State estimation is an integral component of any autonomous robotic system. Finding the correct position, velocity, and orientation of an agent in its environment enables it to do other tasks like mapping and interacting with the environment, and collaborating with other agents. State estimation is achieved by using data obtained from multiple sensors and fusing them in a probabilistic framework. These include inertial data from Inertial Measurement Unit (IMU), images from camera, range data from lidars, and positioning data from Global Navigation Satellite Systems (GNSS) receivers. The main challenge faced in sensor-based state estimation is the presence of noisy, erroneous, …

Material Characterization Of Thermoplastic Polyurethane (Tpu) And Thermoplastic Elastomers (Tpe) For Development Of 3d-Printed Surrogate Organs For Medical Training, Anastasia Elizabeth Lucci

Graduate Theses, Dissertations, and Problem Reports (ETD)

Cadaveric specimens are a necessary, albeit limited, resource for training medical students on basic surgical skills. The availability of surrogate 3D-printed organs would readily allow access to resources that could reduce or potentially eliminate the need for cadaveric specimens or, at a minimum, provide students the opportunity to practice with 3D-printed surrogates before transitioning to those specimens. This research focuses on determining which thermoplastic material most closely mimics mechanical properties such as hardness and stiffness of human organs and allows 3D printing surrogate organs to be used as safe, educational tools. Relatively “soft” materials such as thermoplastic polyurethanes (TPU) and …

Motion Planning In Artificial And Natural Vector Fields, Bernardo Martinez Rocamora Junior

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation advances the field of autonomous vehicle motion planning in various challenging environments, ranging from flows and planetary atmospheres to cluttered real-world scenarios. By addressing the challenge of navigating environmental flows, this work introduces the Flow-Aware Fast Marching Tree algorithm (FlowFMT*). This algorithm optimizes motion planning for unmanned vehicles, such as UAVs and AUVs, navigating in tridimensional static flows. By considering reachability constraints caused by vehicle and flow dynamics, flow-aware neighborhood sets are found and used to reduce the number of calls to the cost function. The method computes feasible and optimal trajectories from start to goal in challenging …

Effects Of Light/Dark Cycle Shifts On Delay Discounting, Katya A. Nolder

Graduate Theses, Dissertations, and Problem Reports (ETD)

Shift-work conditions are a necessity for the constant provision of certain medical, industrial, and commercial services in modern society. Shift work is associated with the increased risk of many negative health outcomes, including type 2 diabetes, heart disease, reproductive issues, and cancer. Shift workers experience multiple levels of circadian-rhythm disruption, which may increase maladaptive decision making, and this may mediate the relation between shift work and negative health outcomes. Circadian-rhythm disruptions can be systematically investigated in the basic laboratory, and one type of procedure involves changing the light/dark cycle in the animal vivarium. The current study investigated effects of light/dark …

The Effect Of Pubertal Stress On Prefrontal Cortex Related Behavior In Adult And Adolescent Mice, Bryan Rodriguez

Graduate Theses, Dissertations, and Problem Reports (ETD)

The prefrontal cortex (PFC) is an area of associated with cognitive flexibility, decision making, and value processing. The most common neuropsychiatric disorders globally, including generalized anxiety disorder, major depressive disorder, schizophrenia, and substance abuse disorders, have been associated with dysfunction in the PFC. One of the environmental factors that may lead to increased risk for developing these disorders is exposure to stressful or traumatic situations during key developmental periods, such as adolescence. Human studies found that individuals who were faced with early adverse events but had some form of social interaction or support during that time, had a lower risk …

Dispositional Optimism And Autonomic Reactivity During Passive-Coping And Active-Coping Stress Tasks, Emma R. Pino

Graduate Theses, Dissertations, and Problem Reports (ETD)

Optimism is a positive psychological factor that has been associated with improved mental and physical health outcomes. To better understand the mechanism through which optimism results in improved health, researchers have examined whether autonomic reactivity to stress moderates this relation. While many studies have examined the relation between optimism and autonomic reactivity to stress, findings are mixed. Although some studies have found optimism to be associated with reductions in heart rate and blood pressure responses to acute stress presentations, many studies exploring this relation have found optimism to be associated with greater blood pressure responses to stress. However, most of …