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 …

State Estimation, Covariance Estimation, And Economic Optimization Of Semi-Batch Bioprocesses, Ronald Hunter Alexander

Graduate Theses, Dissertations, and Problem Reports (ETD)

One of the most critical aspects of any chemical process engineer is the ability to gather, analyze, and trust incoming process data as it is often required in control and process monitoring applications. In real processes, online data can be unreliable due to factors such as poor tuning, calibration drift, or mechanical drift. Outside of these sources of noise, it may not be economically viable to directly measure all process states of interest (e.g., component concentrations). While process models can help validate incoming process data, models are often subject to plant-model mismatches, unmodeled disturbances, or lack enough detail to track …

Producing Hardwood Cross - Laminated Timber (Hclt) Mats From Low Grade Red Oak Lumber, Jonathan R. Norris

Graduate Theses, Dissertations, and Problem Reports (ETD)

The use of cross-laminated timber (CLT) has significantly grown in North America, but hardwood species have not yet been deemed a viable material to manufacture CLT panels, whereas, softwood species continue to serve as the only approved material for CLT in structural applications according to ANSI/APA PRG-320. In order to introduce hardwoods into the CLT market, we must develop non-structural CLT products that utilize low grade lumber from hardwood species. This allows hardwood manufacturers to enter the CLT market without certification, while also displaying the strength and beauty of the hardwood resources found within this region.

Of the hardwood species …

Advancing Medical Technology For Motor Impairment Rehabilitation: Tools, Protocols, And Devices, Matthew Yough

Graduate Theses, Dissertations, and Problem Reports (ETD)

Excellent motor control skills are necessary to live a high-quality life. Activities such as walking, getting dressed, and feeding yourself may seem mundane, but injuries to the neuromuscular system can render these tasks difficult or even impossible to accomplish without assistance. Statistics indicate that well over 100 million people are affected by diseases or injuries, such as stroke, Parkinson’s Disease, Multiple Sclerosis, Cerebral Palsy, peripheral nerve injury, spinal cord injury, and amputation, that negatively impact their motor abilities. This wide array of injuries presents a challenge to the medical field as optimal treatment paradigms are often difficult to implement due …

Use Of Carbonation For Treatment Of Coal Mine Drainage To Increase Limestone Dissolution And Generate Alkalinity, Dietrich Henry Kuhlmann Iv

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

Use of Carbonation for Treatment of Coal Mine Drainage to Increase Limestone Dissolution and Generate Alkalinity

Dietrich Kuhlmann IV

Anoxic limestone drains (ALDs) are a common component used within passive treatment systems for coal mine drainage (CMD). Contact between limestone aggregate and CMD results in limestone dissolution, producing carbonate alkalinity. Though ALDs are one of the least expensive CMD treatment technologies, alkalinity generation is limited by limestone solubility. This necessitates a long retention time (>12 hours) and sometimes results in net acidic effluent which requires additional alkalinity generation steps downstream. One way to increase calcite dissolution and alkalinity …

A Comparative Analysis Of Coastdown Testing Methods From An Electric Drive Unit Engagement Perspective Using A Student-Designed Parallel Hybrid Electric Vehicle, Dawson Everett Dunnuck

Graduate Theses, Dissertations, and Problem Reports (ETD)

Coastdown testing and road load determination are pivotal parts of the automotive design process. Vehicle manufacturers and independent companies perform and analyze road loads determined through a coastdown or similar method to determine a vehicle’s road load for modeling and EPA certification. For a traditional coastdown, the vehicle’s drivetrain must be disconnected through a clutch between the engine and the transmission while traveling at a high rate of speed to place the vehicle in neutral. This changes for hybrid and electric vehicles. Some hybrid, and most electric, vehicles delivered to customers do not have this clutch action to grant the …

A Study Of Six Selected Piano Variations By Czerny, Hao Zhang

Graduate Theses, Dissertations, and Problem Reports (ETD)

This research paper is focused on the piano variations by Carl Czerny (1791-1857), with discussion and analysis of six among his 180 sets of piano variations. These six sets of variations include: Les charmes de l'amitié (Charms of Friendship), Op. 55; Variations on a Theme from Oberon, Op. 134; Introduction and Variations on La muette de Portici, Op. 208; Variations brillantes sur un thème favori de l'opéra Hans Heiling de Henri Marschner, Op. 341; Variations on a Motif by Ch. L. Hoffmann, “Souvenir de Boieldieu,” Op. 352; and Eisenbahn Variationen (Variations on a Waltz by Strauss), Op. 431. These …

Localized Delivery Of Gm-Csf In The Regulation Of Breast Tumor Oxygen And Anti-Tumor Immunity Through Macrophages, Nicole E. Mihalik

Graduate Theses, Dissertations, and Problem Reports (ETD)

GM-CSF has been employed as an adjuvant to cancer immunotherapies in solid tumors due to its ability to drive immune stimulatory macrophages and other myeloid cells that promote anti-tumor responses. However, GM-CSF does not always exert immune stimulatory effects on myeloid cells, and sometimes even drives immune suppressive phenotypes. GM-CSF effects on myeloid cells and the tumor microenvironment (TME) appear to vary across dosages and even cancer types. However, an optimal dosing regimen for GM-CSF has yet to be determined to-date, and this is further complicated by the fact that GM-CSF is often administered via oncolytic viruses or tumor vaccines …

The Uncertain Future Of Landscapes Subjected To Mountaintop Removal Mining, Samuel James Bower

Graduate Theses, Dissertations, and Problem Reports (ETD)

Increased erosion following human land disturbance is a global issue for ecosystem health and land management. Mountaintop removal (MTR) mining – a type of surface mining predominately found in the Central Appalachian Coalfields region – is one of the most significant examples of human perturbation to a natural landscape. A post-MTR landscape, when compared to its natural state, has significantly different erosive potential due to the rearrangement of topography from mining and reclamation practices. Removal of vegetation and alterations to soil further influence erosion by raising the effective erodibility of substrate subjected to MTR. We quantify the changes in erosion …

Machine Learning For Biosensors, Gayathri Anapanani

Graduate Theses, Dissertations, and Problem Reports (ETD)

Biosensors have become increasingly popular as diagnostic tools due to their ability to detect and quantify biological analytes in a wide range of applications. With the growing demand for faster and more reliable biosensing devices, machine learning has become a valuable tool in enhancing biosensor performance. In this report, we review recent progress in the application of machine learning to biosensors. We discuss the potential benefits of using machine learning in biosensors, including improved sensitivity, selectivity, and accuracy. We also discuss the various machine learning techniques that have been applied to biosensors, including data preprocessing, feature extraction, and classification and …

Simulating Energy Performance Of Buildings: A Study Using Equest And Energy Star® Portfolio Manager, Sabin Wagle

Graduate Theses, Dissertations, and Problem Reports (ETD)

The urgent need for improving building energy efficiency in response to global warming and environmental sustainability has highlighted the importance of practical techniques to optimize energy performance. The study utilizes the eQUEST simulation engine and Energy Star® Portfolio Manager to evaluate retrofit and design parameters and conduct a sensitivity analysis to explore the impact of different parameters on building energy performance. The study develops building energy models in eQUEST using data from two fully operational Distribution centers. It is calibrated using the Normalized Mean Bias Error (NMBE) and Coefficient of Variation of Root Mean Square Error (CV(RMSE)) method, meeting the …

Missile Modeling And Simulation Of Nominal And Abnormal Scenarios Resulting From External Damage, James Manuel Floyd Iii

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis presents the development of a six-degree-of-freedom flight simulation environment for missiles and the application thereof to investigate the flight performance of missiles when exposed to external damage. The simulation environment was designed to provide a realistic representation of missile flight dynamics including aerodynamic effects, flight control systems, and self-guidance. The simulation environment was designed to be modular, expandable, and include realistic models of external damage to the missile body obtained by adversarial counteraction.

The primary objective of this research was to examine missile flight performance when subjected to unspecified external damage, including changes in trajectory, stability, and controllability, …

Can Gamification Increase Work Motivation? Considering The Job Characteristics Model And Employee Attitudes Towards Games., Richard A. Oxarart

Graduate Theses, Dissertations, and Problem Reports (ETD)

Gamification, or the use of game elements in the working environment, is becoming more prevalent in the workplace. These elements, such as badges, points, levels, fictional narratives, leaderboards, and others have been being used in industry due to their assumed motivational properties. Though researchers have begun to investigate this assumption, there is still a lack of supporting empirical evidence. Furthermore, what research has been done has been met with mixed results. This study investigates the usefulness of gamification through the lens of the job characteristics model, which has rarely been used in this field of study and would bring it …

Evaluation Of Low-Grade Red Oak (Quercus Rubra) And Red Maple (Acer Rubrum) As A Raw-Material For Cross-Laminated Timber Panel Production, Matthew Allen Young

Graduate Theses, Dissertations, and Problem Reports (ETD)

Hardwoods in the Appalachian region are traditionally destined for use in furniture, cabinetry, pallets, and railroad ties. The expanding market for Cross Laminated Timber (CLT) is an opportunity for increased utilization of low-quality hardwoods typically used in pallets or equipment mats. Large quantities of low-grade red oak (Quercus rubra) and red maple (Acer rubrum) to be used in CLTs would provide sufficient lumber sources that could foster the growth of CLT manufacturing facilities in the state of West Virginia or Appalachia all together. The objective of this study was to determine the yield distribution of visual structural grade quality lumber …

Discovering And Understanding High Performance Materials Using Density Functional Theory: Quantum Mechanical Simulations And The Consequences Of Symmetry, Olivia M. Pavlic

Graduate Theses, Dissertations, and Problem Reports (ETD)

There are two primary ways that atomic level modeling data is used: materials prediction and understanding materials properties. This dissertation work encom- passes two studies, each of which explore one application. Both studies rely on the highly successful density functional theory (DFT) formalism but differ in that two different implementations of DFT are used on two different high performance materials. The first study on bulk magnesium (Mg) metal alloys explores materials prediction and relies on VASP, a commercially maintained plane-wave DFT code which has been used extensively to successfully study a wide range of materials. [1] The approach used in …

Associations Among Executive Functioning, Family Functioning, Adolescent Responsibility, And Adherence In Pediatric Inflammatory Bowel Disease, Cecily Newel Conour

Graduate Theses, Dissertations, and Problem Reports (ETD)

Background: Inflammatory Bowel Disease (IBD) is a common cause of chronic pain for adolescents in the United States. Adherence to the treatment regimen is a significant concern, particularly for adolescents. Barriers to adherence are varied, but include cognitive factors, such as forgetting. Parent involvement is associated with increased adherence in this population, though adolescent involvement is less studied. Family functioning is associated with adherence to medication regimen across pediatric chronic illnesses, including IBD treatment regimen. To better inform clinical care, this study aims to understand the relations among adolescent’s responsibility, executive functioning, family functioning, and adherence. Methods: The current study …

Computational Mechanisms Of Face Perception, Jinge Wang

Graduate Theses, Dissertations, and Problem Reports (ETD)

The intertwined history of artificial intelligence and neuroscience has significantly impacted their development, with AI arising from and evolving alongside neuroscience. The remarkable performance of deep learning has inspired neuroscientists to investigate and utilize artificial neural networks as computational models to address biological issues. Studying the brain and its operational mechanisms can greatly enhance our understanding of neural networks, which has crucial implications for developing efficient AI algorithms. Many of the advanced perceptual and cognitive skills of biological systems are now possible to achieve through artificial intelligence systems, which is transforming our knowledge of brain function. Thus, the need for …

Structural Health Monitoring Using Machine Learning And Synthetic Data, Michail Tzimas

Graduate Theses, Dissertations, and Problem Reports (ETD)

Structural health monitoring spans many decades of research across multiple engineering fields. However, typical monitoring processes for damage detection of complex structures usually prohibit real-time or fast detection of debilitating damage to the structure. One of the major issues of real-time detection of damage is the enormity of data that needs to be processed, which is worsened by the relative inability of fast relaying of data to structural engineers. With the rapid advancement of Machine Learning, both issues can be overcome, and detection of failure is achieved with non-invasive techniques. This dissertation explores the applicability of Machine Learning as a …

Investigating The Impact Of Demographic Factors On Contactless Fingerprint Interoperability, Aeddon David Berti

Graduate Theses, Dissertations, and Problem Reports (ETD)

Improvements in contactless fingerprinting have resulted in contactless fingerprints becoming a faster and more convenient alternative to contact fingerprints. The interoperability between contactless fingerprints and contact fingerprints and how demographic factors can change interoperability has been challenging since COVID-19; the need for hygienic alternatives has only grown because of the sudden focus during the pandemic. Past work has shown issues with the interoperability of contactless prints from kiosk devices and phone fingerprint collection apps. Demographic bias in photography for facial recognition could affect photographed fingerprints. The paper focuses on evaluating match performance between contact and contactless fingerprints and evaluating match …

Simulations Of Implementation Of Advanced Communication Technologies, Ivy Yousuf Moutushi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Wireless communication systems have seen significant advancements with the introduction of 3G, 4G, and 5G mobile standards. Since the simulation of entire systems is complex and may not allow evaluation of the impact of individual techniques, this thesis presents techniques and results for simulating the performance of advanced signaling techniques used in 3G, 4G, and 5G systems, including Code division multiple access (CDMA), Multiple Input Multiple Output (MIMO) systems, and Low-Density Parity Check (LDPC) codes. One implementation issue that is explored is the use of quantized Analog to Digital Converter (ADC) outputs and their impact on system performance.

Code division …

A Comparison Of The Failure Rate Of Two Orthodontic Light-Curable Adhesives: A Chart Review, Ian Montgomery Weaver

Graduate Theses, Dissertations, and Problem Reports (ETD)

A Comparison of the Failure Rate of Two Orthodontic Light-Curable Adhesives: A Chart Review

Ian Montgomery Weaver, D.D.S.

Background and Objectives: The overhead costs of running a private orthodontic practice are infamously high, thus there is a notable benefit to finding the most cost effective methods of treating patients while still maintaining high quality care. A relatively new light-cure orthodontic adhesive BracePaste®^® (American Orthodontics™, Sheboygan, WI), introduced to the market in 2017, can fluoresce under UV light to assist in identifying the difference between the enamel of the tooth and the adhesive material itself, an ability which can aid …

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 …

Ambush, Reprisal, Riot, Revolt, And Reform: The Transnational Evolution Of British Colonial Policing In Ireland And The Palestine Mandate, 1918-1948, Tyler Kickler Krahe

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation looks at the changes in British colonial policing between Ireland and the Palestine Mandate from 1918 and 1948. This time period covers the duration of the Anglo-Irish War, as well as Britain’s mandatory control of Palestine. It is the argument of this work that from 1918 to 1936, between Ireland and the Palestine Mandate, British colonial police forces demonstrated a pattern of evolving police training, practice, and organization, spurred on by violent action and followed by attempts at reform. This pattern continued until the Arab Revolt of 1936 when the police forces in the Palestine Mandate abandoned attempts …

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 …

Antibacterial Effect Of Various Irrigants Against Enterococcus Faecalis, Morgan N. Kesecker

Graduate Theses, Dissertations, and Problem Reports (ETD)

Introduction:

One of the goals of endodontic therapy is to debride infected pulps of teeth and return the tooth to a state of health in preparation of restorative care and return to function. Chemically cleansing of the canal system augments mechanical debridement by flushing out debris, dissolving tissue, and disinfecting the root canal system. The purpose of this research is to compare the efficacy of five irrigants: 0.008% HOCl acid (Endocyn®), 0.03% HOCl (Vashe®), 6% and 8.25% sodium hypochlorite (NaOCl), and Ozone against a typical bacterial species found in infected pulps, Enterococcus faecalis (E. faecalis).

Methods:

After 24 hours …

A Machine Learning Approach For Early Diagnosis Of Transthyretin Amyloid Cardiomyopathy Among Heart Failure Patients, Tanjim Ahmed

Graduate Theses, Dissertations, and Problem Reports (ETD)

Transthyretin Amyloid Cardiomyopathy (ATTR-CM) is a rare, progressive, and fatal disease. Prevalence of ATTR-CM ranges from 4 to 17 per 100000 cases where the mean survival time is less than 4 years. It has a history of being underdiagnosed and misdiagnosed. The diagnosis delay has a weighted mean of 6.1 years for wild-type ATTR-CM. Low awareness, the necessity of invasive procedures, and lack of treatment are the key reasons for delayed diagnosis. But, with the introduction of non-invasive tests like nuclear scintigraphy with ^99mTC-PYP and the disease modifying drug Tafamidis, the diagnosis delay signifies a missed opportunity to increase …

A Case Study Analysis Of The Experiences And Perceived Learning Outcomes Of Former Non-Music Majors In Applied Horn Lessons, Jordan Bennett

Graduate Theses, Dissertations, and Problem Reports (ETD)

Non-major music students are an integral part of university music departments, as they both bolster the department’s enrollment numbers and bring diverse perspectives to the ensembles, lessons, and classes in which they participate. Although most non-majors focus their time on ensembles, a few choose to include lessons as part of their experience. Whether motivated by external factors like scholarship money or internal factors like a desire to improve on an instrument, these non-majors are a unique part of any applied studio. However, the phenomenon of non-majors in applied lessons is understudied. Literature tends to focus on non-major enrollment in ensembles …

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 …

Analysis Of The Effect Of Rate Of Fire On The Reproducibility Of Breech Face Impressions, Kayla Ann Trimble

Graduate Theses, Dissertations, and Problem Reports (ETD)

A major activity in firearms examination is the comparison of cartridge cases. In a crime scene where a firearm was discharged, it is very common to find cartridge cases littering the scene. Firearms examiners examine these cartridge cases along with test fired cartridge cases from the suspected firearm. They inspect the firearm to ensure that it is safe and in working condition before conducting test fires. These test fires are then compared to the submitted evidence. Comparison microscopes are used to visualize the impressions left on the cartridge case from the firing process. When comparing evidence to a known test …

The Women Of Salò: Roles And Expectations In The Italian Social Republic, Johnathon N. Keller

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis aims at investigating the national discourse around women in the Italian Social Republic (RSI) in three distinct spaces: urban, family, and rural. During the RSI, women were primarily constructed as one of three symbols: exemplary wife and mother, militant woman citizen, and woman soldier. The re-emergence of the urban, working-class woman was accelerated by the socializzazione program and the crisis the Italian nation faced. The RSI saw a shift away from family planning and a new emphasis was placed on family assistance and care of the existing young. Finally, during the RSI, rural spaces, central during the 1930s …