Digital Commons Network^™

A Novel Computational Network Methodology For Discovery Of Biomarkers And Therapeutic Targets, Qing Ye

Graduate Theses, Dissertations, and Problem Reports (ETD)

Lung cancer has the second highest cancer incidence rate and the top cancer-related mortality worldwide. An estimate from the American Cancer Society shows that, in 2022, there will be about 236,740 lung cancer cases (117,910 men and 118,830 women) in the US. To date, there are no prognostic/predictive biomarkers to select chemotherapy, immunotherapy, and radiotherapy in individual non-small cell lung cancer (NSCLC) patients. There is an unmet clinical need to identify patients with early-stage NSCLC who are likely to develop recurrence and to predict their therapeutic responses. This dissertation developed a novel computational methodology for modeling molecular gene association networks …

Development Of A Machine Learning Model To Characterize The Performance Of A Selective Catalytic Reduction On Filter After-Treatment System For A Heavy-Duty Diesel Engine, Samuel A. Okeleye

Graduate Theses, Dissertations, and Problem Reports (ETD)

Particulate matter (PM) and Oxides of Nitrogen (NOx) are the major pollutants in diesel engines, an attempt to control one leads to an increase in the other, a phenomenon known as PM-NOx trade-off in diesel engine emission control. Currently, these two pollutants are controlled by the Diesel Particulate Filter (DPF) and the Selective Catalytic Reduction (SCR) after-treatment system respectively, in addition to the Diesel Oxidation Catalyst (DOC) which helps to provide 1:1 split of NO/NO₂ and helps with raising exhaust gas temperatures. Today, heavy-duty diesel engines feature a DPF, a primary SCR and a secondary SCR. Despite this complex …

Assessment Of Electronic Cigarette User Terminology And Knowledge Using Mixed Methods, Margaret G. Childers-Kakos

Graduate Theses, Dissertations, and Problem Reports (ETD)

Electronic cigarettes (ECIGs) have evolved rapidly over the past several years, and it is unclear if terminology used when assessing ECIG knowledge and use behavior has objective and well-understood definitions between consumers, as well as between consumers and the research community. The purpose of this study was to use semi-structured interviews to obtain a better understanding of ECIGs from the perspective of regular ECIG users. One-hour interviews consisted of both open- and closed-ended questions. Questions probed the terminology used by participants to describe both individual and combination device features, as well as ECIG use behaviors. Qualitative data was used to …

Implementation Of An Advanced Training Program To Increase Nurses’ Knowledge Of Continuous Renal Replacement Therapy Management, Shane M. Brost

Graduate Theses, Dissertations, and Problem Reports (ETD)

Background: Continuous renal replacement therapy (CRRT) is a complex, life-preserving treatment for unstable patients who require hemodialysis in the intensive care unit (ICU). Nurses responsible for managing the CRRT machine in this large academic medical center’s cardiovascular ICU (CVICU) complete a one-hour basic training course focused on setting up the machine, responding to basic alarms, and changing out the CRRT circuit when necessary. Staff nurses, advanced practice providers (APPs), and nursing administrators agree that training is insufficient. Research evidence supports rigorous staff training as essential to improving the quality of CRRT delivery. Purpose: This Doctor of Nursing Practice (DNP) project …

An Anesthesia-Based Quality Improvement Initiative To Decrease Opioid Administration Via Esmolol Administration, Fredrick J. Hanna

Graduate Theses, Dissertations, and Problem Reports (ETD)

Background: Laryngoscopy and endotracheal intubation are routine procedures that occur within the surgical setting. Fentanyl is currently administered for attenuating the hemodynamic response to intubation. Opioid-sparing alternatives have been identified with aims of improving patient outcomes, such as esmolol. Purpose: The project’s purpose was designed to improve anesthesia provider familiarity, perception, and consideration of esmolol as a non-narcotic alternative for attenuating the hemodynamic response to intubation and prompt an increase of esmolol administration within this setting. Interventions: Surveys were conducted before and after an educational in-service, offered to anesthesia providers, demonstrating esmolol as an efficacious alternative to fentanyl. Additionally, an …

Integration Of Spectroscopic And Mass Spectrometric Tools For The Analysis Of Novel Psychoactive Substances In Forensic And Toxicology Applications, Travon Cooman

Graduate Theses, Dissertations, and Problem Reports (ETD)

Analytical methods aiming for the detection of novel psychoactive substances are continuously revised due to their utility in the seized drug and toxicology realms. One method frequently employed for the preliminary identification of illicit materials is portable Raman spectroscopy. Even when a substance in possession of an offender is identified, conclusive evidence that it may have been consumed requires additional confirmatory work and further toxicological evaluation of a biological specimen. Many times, the substance consumed may not be detected in the analyzed specimen due to its extensive metabolism. It is therefore challenging to rule out the identity of the drug …

Fashion Compatibility Prediction Using Ensemble Learning, Nathan Utzman

Graduate Theses, Dissertations, and Problem Reports (ETD)

Fashion is important both financially and for self-expression. There are many tasks in the fashion domain which can be addressed with artificial intelligence. The task of fashion compatibility prediction is to determine how well a set of items work together to form an outfit. Two main tasks are typically used to evaluate the performance of a fashion compatibility prediction model – Outfit Compatibility Prediction and Fill in the Blank.

In this work, a compatibility prediction model, which is based on the graph autoencoder, is evaluated. This same model is then used in a homogeneous ensemble learning approach, proposed to improve …

Performance Of Sensor Fusion For Vehicular Applications, Nikola Janevski

Graduate Theses, Dissertations, and Problem Reports (ETD)

Sensor fusion is a key system in Advanced Driver Assistance Systems, ADAS. The perfor-
mance of the sensor fusion depends on many factors such as the sensors used, the kinematic
model used in the Extended Kalman Filter, EKF, the motion of the vehicles, the type of
road, the density of vehicles, and the gating methods. The interactions between parameters
and the extent to which individual parameters contribute to the overall accuracy of a sensor
fusion system can be difficult to assess.
In this study, a full-factorial experimental evaluation of a sensor fusion system based
on a real vehicle was performed. …

Learning Mathematics While Black In Rural Appalachia: Black Students' Counterstories And Freedom Dreams About Mathematics Education, Sean P. Freeland

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation aims to illuminate and uncover the experiences of Black students’ learning mathematics in rural Appalachia and specifically West Virginia. The focal theory for this study is Critical Race Theory (CRT) which centers the experience of Black students and their voices. The intersection of race, mathematics education, and the context of rural Appalachia contribute to the analysis of these experiences in specific ways. Participants for this study included six Black high school students from various communities throughout West Virginia. Through interviews and mathematical autobiographies, these students shared their experiences learning mathematics across their schooling experiences and also considering their …

Geotextile Design And Performance For Dewatering Of Rare Earth Element Sludge Produced From Acid Mine Drainage, Cory J. Nasiadka

Graduate Theses, Dissertations, and Problem Reports (ETD)

Acid Mine Drainage (AMD) is an environmental legacy of mining operations that forms when sulfide minerals within the earth are exposed to water and oxygen and has significant harmful effects on the environment when left untreated. Researchers at West Virginia University found large concentrations of REE/CMs (Rare Earth Elements and Critical Minerals) in AMD treatment sludge. REE/CM consist of a group of 17 elements that are crucial to the production of advanced technologies. Due to an extremely low domestic supply of REE/CM in the United States, domestic sources and production of REE/CM are being investigated. This research investigates geotextile design …

Generation Of High Performing Morph Datasets, Kelsey Lynn O'Haire

Graduate Theses, Dissertations, and Problem Reports (ETD)

Facial recognition systems play a vital role in our everyday lives. We rely on this technology from menial tasks to issues as vital as national security. While strides have been made over the past ten years to improve facial recognition systems, morphed face images are a viable threat to the reliability of these systems. Morphed images are generated by combining the face images of two subjects. The resulting morphed face shares the likeness of the contributing subjects, confusing both humans and face verification algorithms. This vulnerability has grave consequences for facial recognition systems used on international borders or for law …

Landmark Enforcement And Principal Component Analysis For Improving Gan-Based Morphing, Samuel W. Price

Graduate Theses, Dissertations, and Problem Reports (ETD)

Facial Recognition Systems (FRSs) are a key target for adversaries determined to circumvent security checkpoints. Morph images threaten FRS by presenting as multiple individuals, allowing an adversary to swap identities with another subject. Although morph generation using generative adversarial networks (GANs) results in high-quality morphs without possessing the spatial artifacts caused by landmarkbased methods, there is an apparent loss in identity with standard GAN-based morphing methods. In this thesis, we examine landmark-based and GAN-based morphing methods to fuse the advantages of both methodologies. We propose a novel StyleGAN2 morph generation technique by introducing a landmark enforcement method. Considering this method, …

Hydrocarbon Pay Zone Prediction Using Ai Neural Network Modeling., Darren D. Guedon

Graduate Theses, Dissertations, and Problem Reports (ETD)

This paper captures the ability of AI neural network technology to analyze petrophysical datasets for pattern recognition and accurate prediction of the pay zone of a vertical well from the Santa Fe field in Kansas.

During this project, data from 10 completed wells in the Santa Fe field were gathered, resulting in a dataset with 25,580 records, ten predictors (logs data), and a single binary output (Yes or No) to identify the availability of Hydrocarbon over a half feet depth segment in the well. Several models composed of different predictors combinations were also tested to determine how impactful some logs …

Extension Of A Bayesian Method For Viral Genome Re-Sequencing To Multi-Dimensional Parameters, Sarah Fleischer

Graduate Theses, Dissertations, and Problem Reports (ETD)

Next Generation Sequencing (NGS) refers to all sequencing methods post Sanger Sequencing. Sequencing By Synthesis is the most well-known method, however it’s inaccessible price is difficult for some. Thus, a different method also exists, re-sequencing– which relies on a reference genome to check the validity of each base call. The standard for determining the validity of a base call is a one parameter quality score. But, previously a two-parameter Bayesian method was successfully used for re-sequencing the viral genome. However, a quality parameter was previously not used in the construction of the cumulative density function for the likelihood. This paper …

A Multi-Method Evaluation Of Parent And Child Factors Associated With Child Abuse Potential, Lindsay R. Druskin

Graduate Theses, Dissertations, and Problem Reports (ETD)

Child abuse is a pervasive, global problem impacting millions of children (Stoltenborgh et al., 2015). Researchers have largely relied on the use of parent-report questionnaires to examine a variety of risk factors for child abuse (see Azar, 2002; Stith et al., 2009), leaving a gap in the research regarding the link between observed parent and child behaviors and child abuse potential. Utilizing a sample of families clinically referred for child behavioral problems, the proposed study pursued a multi-method approach to explore relations between parent factors (parent attachment, emotion regulation, harsh behaviors, and stress), child factors (child disruptive behaviors), and the …

Electronic Cigarette Dependence: User And Device Characteristic Predictors, Ashley E. Douglas

Graduate Theses, Dissertations, and Problem Reports (ETD)

Understanding the dependence potential of electronic cigarettes (ECIGs) is critical to informing prevention and regulatory efforts. Extant work on ECIG dependence is limited, in part due to the vast number of products that differ on their ability to deliver nicotine. Further, existing research is based largely on former/current cigarette smokers, and thus confounds dependence on nicotine via ECIGs versus cigarettes. This study evaluated ECIG device/liquid characteristics and use behaviors as predictors of ECIG dependence in a sample of experienced ECIG users who never smoked cigarettes. Participants completed an online survey that assessed ECIG device/liquid features, use behavior, and ECIG dependence. …

Carbon Monoxide Sensing Of Nickel Oxide At 1000 ℃ To 1200 ℃ For In Situ Combustion Control: Behavior, Mechanism, And Application, Yi Wang

Graduate Theses, Dissertations, and Problem Reports (ETD)

An advanced smart sensor network is essential to a combustion system, which is in favor of in situ, locally placed, and low-cost gas sensors. However, most chemical/electrochemical sensors fail to work in a combustion boiler, due to the demanding working temperatures (> 1000 ℃). This work for the first time reports a well-functioning mixed-potential type CO sensor at 1000 ℃ - 1200 ℃ using nickel oxide (NiO) as the sensing material. The influence of feed gas flow rate, electrode thickness, and porosity on sensor behavior is investigated, delivering notable and fast responses to 1000 ppm in 3% O₂: …

Three Essays In Healthcare Economics And Policy Analysis, Tuyen Pham

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation research consists of three essays on healthcare economics and policy analysis. Chapter 1 investigates and explains the failure of a proposition on limiting dialysis clinic profits in California in 2018. The proposition would have required dialysis clinics to issue refunds to patients or their payers for revenue that exceeds 115% of the direct cost of treatment. In this chapter, a conceptual framework of how voters weigh costs and benefits is developed and two different empirical approaches, simple OLS and Double Post LASSO, are employed to identify key determinants of the voting outcome. The empirical results suggest that counties …

Development Of Methane Emissions Model To Assess Fuel Recovery Potential At Gas Well Sites Using On Site Compression, Nicholas G. Lindenfeldar

Graduate Theses, Dissertations, and Problem Reports (ETD)

The US natural gas production and consumption has increased 85.5% since 2005 primarily due to the unconventional production methods of horizontal drilling and hydraulic fracturing. Natural gas used as a fuel has a lower greenhouse gas (GHG) footprint than coal and petroleum due to lower Carbon Dioxide (CO₂) emissions when combusted. However, the “greener” benefit to natural gas may be consumed by leaks in production and transmission systems. Methane (CH₄), the primary hydrocarbon in natural gas, has an estimated Global Warming Potential (GWP) of 28-36 over 100 years, meaning it can absorb 28-36 more energy than …

Uav Path Planning And Multi-Modal Localization For Mapping In A Subterranean Environment, Kieren Yoshiki Samarakoon

Graduate Theses, Dissertations, and Problem Reports (ETD)

The use of Unmanned Aerial Vehicles (UAVs), especially quadcopters, have become popular in academia and industry due to their small size and maneuverability. These UAVs can be programmed to autonomously execute missions that are usually difficult and risky for humans, such as subterranean exploration, infrastructure surveying, and even disaster response. However, inaccessible and remote environments pose a challenge in terms of navigation as they often lack access to Global Navigation Satellite System (GNSS) connections and lack features. To address these challenges, UAVs are equipped with multiple sensors to acquire different types of data. These include range, acceleration, and even images, …

Using Landsat-Based Phenology Metrics, Terrain Variables, And Machine Learning For Mapping And Probabilistic Prediction Of Forest Community Types In West Virginia, Faith M. Hartley

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study investigates the mapping of forest community types for the entire state of West Virginia, USA using Global Land Analysis and Discovery (GLAD) Phenology Metrics analysis ready data (ARD) derived from the Landsat time series and digital terrain variables derived from a digital terrain model (DTM). Both classifications and probabilistic predictions were made using random forest (RF) machine learning (ML) and training data derived from ground plots provided by the West Virginia Natural Heritage Program (WVNHP). The primary goal of this study is to explore the use of globally consistent ARD data for operational forest type mapping over a …

Development And Verification Of Flight Data Informed Performance Estimation And Prediction Simulation Tool For Small Electrical Multi-Rotor Uav, Nicholas Scott Borelle

Graduate Theses, Dissertations, and Problem Reports (ETD)

While small scale multi-rotor aircraft are becoming an increasingly large market with applications emerging every day, their ability to have both a high endurance/long range and a high speed/performance flight is severely limited. This leads to uncertainty in mission planning and aircraft design, specifically when deciding mission length and available on-board energy. Uncertainty like this leads to an increased chance of failure to complete the mission, and a failure to recover the aircraft. Considering that these aircraft are used by everyone from hobbyists to commercial companies to military personnel, the applications and missions being flown carry importance and a serious …

Navigating Abrupt Shifts In Contextual Discourses During A Pandemic And Lack Of Mentorship: A Preservice Teacher’S Journey Developing Critical Pedagogical Discourses, Casey L. King

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study is centered on one English language arts (ELA) preservice teacher’s development of her critical pedagogical discourses (CPD) with the contextual discourses of a school placement for preservice teaching and later shift to a full-time teacher before the placement was complete during a pandemic and in the midst of implementing online learning. Data is drawn from a 4-month interpretive qualitative case study that included classroom observations and semi-structured interviews. The objective for this study included how a preservice teacher uses their beliefs and identity about instruction amid changing contextual discourses in a pandemic and with a lack of mentorship. …

The Effect Of A Standardized Handoff Tool On Communication, Interunit Transitions, And Wait Time: A Quality Improvement Project, Silvia N. Myndresku

Graduate Theses, Dissertations, and Problem Reports (ETD)

This project sought not only to improve the communication and interunit transitions of care between emergency department providers (EDPs) and inpatient providers (IPs) using a standardized handoff tool, but also to reduce the Emergency Room (ED) wait time for patients admitted to the community hospital. The project employed a quantitative quasi-experimental pre-test/post-test design to explore provider satisfaction with an evidence-based standardized handoff tools and wait time. Forty-eight providers completed the survey before the I-PASS implementation, and 43 providers completed the survey post I-PASS implementation. Though not statistically significant, data indicates that wait time increased for the post-implementation months of December, …

Associations Between Self-Reported Awe And Heart Rate, Laura E. Bernstein

Graduate Theses, Dissertations, and Problem Reports (ETD)

Fredrickson’s (1998, 2013) broaden and build theory states that positive emotions can expand our social and cognitive awareness and provide health benefits. Some positive emotions, such as awe, may operate differently. We sought to understand how subjective reports of awe, induced through videos, correlate with HR. We know that HR tends to decrease with age (Umetani et al., 1998), individuals have less physiological reactivity as they age (Blanchard-Fields, 2007), and older adults report more positive emotions than negative emotions (Mroczek & Kolarz, 1998). Given these findings, we were interested in understanding whether there were age differences in self-reported awe and …

Deep Radio Observations And The Role Of The Cosmic Web In Galaxy Evolution, Nicholas M. Luber

Graduate Theses, Dissertations, and Problem Reports (ETD)

A current open question in the evolution of galaxies, is what are the physical mechanisms that cut off galaxies from their primordial gas reservoirs, resulting in the end of their star-formation capabilities? Recent observational programs have shown that the properties of galaxies show dependencies on their placement within the large-scale structure (LSS) of the universe. These observations have motivated recent developments in theoretical work that have shown how a galaxy's interaction with the LSS may impact its connection to primordial gas supply, and ability to continue to accrete gas, the fundamental ingredient in star-formation.

In order to investigate the role …

Evaluating Dro With Asymmetrical Magnitude Of Reinforcement, Lindsey M. Hronek

Graduate Theses, Dissertations, and Problem Reports (ETD)

Differential reinforcement of other behavior (DRO) is a reinforcement schedule used in behavior analytic procedures aimed at decreasing various forms of challenging behavior. DRO commonly includes a reinforcement component and an extinction component; a reinforcer is delivered on an interval-based schedule dependent on the omission of a target behavior and the reinforcer is withheld following the occurrence of the target behavior (i.e., extinction). Although interventions using DRO can be effective for challenging behavior, procedures that include extinction can at times be impractical or lead to undesirable side effects. A DRO schedule can be implemented without extinction, but previous research has …

Transitions Between The Steps Of Group Iic Intron Forward And Reverse Splicing And Integration Into Dna, Claire Mae Smathers

Graduate Theses, Dissertations, and Problem Reports (ETD)

Group II introns are ancient ribozymes capable of self-excision and mobility into new genomic locations. As the ancestors of both the eukaryotic spliceosome and eukaryotic retroelements, these simple RNA machines serve as excellent models for understanding the mechanisms of both gene splicing and retroelement activity in eukaryotes. Although group II introns have been studied for decades, knowledge of the most unique and arguably evolutionarily relevant class of group II introns, IIC, is limited. Our knowledge is especially limited in terms of understanding how IIC introns mediate the transition between the two transesterification steps of forward splicing and reverse splicing into …

Development Of A Transition Program For Young Adults With Type 1 Diabetes Progressing From Pediatric To Adult Care – A Feasibility Study, Elizabeth Ann Minchau

Graduate Theses, Dissertations, and Problem Reports (ETD)

ABSTRACT

Development of a Transition Program for Young Adults with Type 1 Diabetes Progressing from Pediatric to Adult Care – A Feasibility Study

Elizabeth A. Minchau

Background: Emerging adulthood requires a delicate balance of the competing social, educational, occupational, and financial demands typical of this developmental stage. This time period presents special challenges for adolescents with type 1 diabetes (T1D), who must also prioritize consistent medical follow-up and ongoing intensive self-care. Emerging adults with T1D struggle with glycemic control that is further exacerbated by an often-times disorganized transfer of care between pediatric and adult endocrinology practices. Substantial gaps in care …

Repercussions: The Pressure To Be Thin, Shuhan Liu

Graduate Theses, Dissertations, and Problem Reports (ETD)

My MFA thesis and supporting exhibition will highlight ceramics work I have created with the intention of dissecting the relationship between a soul and reality to convey the story of tension and anxiety and show it in a way that would let viewers identify with my discomfort and anxiety. The inspiration for my work came from the severe body anxiety that I faced that broke out during the three years of psychological stress caused by the pandemic. Using personal narratives as a starting point, I created object-based artwork that addresses the external pressures I feel to be skinny. As an …