Digital Commons Network^™

Second- And Third-Party Punishment In Common-Pool Resource Management, Jacquelyn Spence

Theses

Common-pool resources play a significant role in many economies, especially in developing countries where they are a critical source of food, income, and employment for communities. Long term management of common-pool resources can be challenging because the continued existence of the resource depends upon balancing the rate of resource depletion with the rate of repletion. Effective management of these resources is vital for protecting the environment and preserving the resources for future generations as overuse and degradation can have serious impacts on ecosystems and biodiversity. Elinor Ostrom’s design principles for common-pool resource (CPR) management provide valuable insight into human interaction …

Relationship Between Nursing Care Provided For Children On Mechanical Ventilation And Their Clinical Outcomes, Marwa G. Abouheiba, Nehad S. Basiouny

Nursing

Background: Indication of mechanical ventilation are variable and diverse. It is required whenever the child is unable to maintain adequate alveolar oxygenation or ventilation. Objective: To assess the relationship between provided nursing care for children on mechanical ventilation and their clinical outcomes. Setting: The Pediatric Intensive Care Unit (PICU) of Alexandria University Children’s Hospital (AUCH)at El-Shatby. Subjects: Study subjects were included both nurses and children. The first part of the study are all nurses (30) worked at the previously mentioned setting were included this inclusion was regardless of their level of education and years of experience. The second part is …

Investigating The Relationship Between Teachers’ State Evaluation Rating And Their Classroom-Based Assessment Practices And Systems, Christopher Jones

Theses and Dissertations

This quantitative research study investigates the relationship between teachers’ evaluation rating and their classroom-based assessment practices using a survey approach. Four middle schools consisting of 39 (grades six through eight) teachers in the Southwestern U.S. participated in the study. Research has shown that when teachers regularly use a system of evidence-based classroom assessment practices, student achievement increases. The problem addressed within this investigation is that students nationwide are performing at lower proficiency rates in math and English Language Arts than previously seen. Results from this study indicate that even teachers rated “highly effective” on evaluations are not employing evidence-based assessment …

Using Problematic Sexual Behaviors And The Developmental Life Course Model To Predict Criminal Justice Involvement And Psychopathology By Early Adulthood, Amanda Schwartz

Theses and Dissertations

The developmental life course (DLC) model explains risk factors and developmental patterns among juveniles who have committed more than one sexual offense by considering the impact of major life events, experiences, and risk and protective factors throughout various developmental stages. Using an archival longitudinal dataset, the Longitudinal Studies of Child Abuse and Neglect (LONGSCAN), this study applied the DLC model to explore the relationship between gender and onset and persistence of problematic sexual behaviors (PSBs) in childhood and adolescence with criminal justice involvement and psychopathology by early adulthood (N = 330, 46% male, M = 18.26 years) after controlling for …

Experimental Investigation Of Freezing Microdroplets For Understanding Chain Crystal Aggregates Observed In Atmospheric Clouds, Imteaz Osmani

Theses and Dissertations

Ice crystal aggregates are observed in upper stratospheric clouds. The crystal aggregates can form in different orientations, geometry, and shapes which are not well studied. These crystal aggregations are found in the clouds as crystal chains of various lengths and cause damage to hypersonic vehicles which include missiles, re-entry vehicles, and jet aircraft. The reasons behind such damage by atmospheric crystal chains to hypersonic bodies are unknown. That is why studying these ice crystals and their behavior in the hypersonic environment is necessary. Ice crystals form in the atmosphere in two different ways which are homogenous and heterogenous. Heterogenous freezing …

The Fcc 5-Year Deorbit Rule’S Impact On The Space Industry Including Non-Traditional Scientific And Environmental Stakeholders, Kristin Shahady

Theses and Dissertations

In pursuit of a safer and more sustainable space environment, the Federal Communications Commission (FCC) introduced the 5-year deorbit rule, a regulatory mandate aimed at mitigating space debris by requiring satellite operators to remove their spacecraft from LEO within 5 years after their mission is complete. While the intent behind this rule is admirable in the desire to remediate and limit the generation of orbital debris, it raises questions whether it was crafted with consideration of all stakeholders, whether it will truly mitigate the creation of orbital debris, and whether it exhibits characteristics of arbitrariness and capriciousness. Agencies’ actions be …

Evaluation Of A Non-Metallic Dual-Port Expander For Intensity Modulated Proton Therapy, Kristen Mcconnell, Zachary Fellows, James Kraus, Mauricio Acosta, Joseph Panoff, Eduardo Pons, Alonso Gutierrez, Andrew Wroe

All Publications

Purpose: To provide a methodology for characterization of the technical properties of a newly developed non-metallic tissue expander for intensity modulated proton therapy.

Methods: Three tissue expanders (AlloX2-Pro: plastic-dual port, AlloX2: metal-dual port, and Dermaspan: metal-single port) were deconstructed, CT-scanned, and modeled in RayStation12A. A 165 MeV single spot was used to create RayStation dose planes, and the integrated depth dose profiles were calculated and the DR90 extracted to predict water equivalent thickness (WET). These predictions were compared to measurements taken with an IBA Giraffe MLIC. Native, water, and fully modelled overrides were compared for the AlloX2 Pro to quantify …

Perceiving, Processing, And Evaluating Infant Facial Affect In Potential Parents: An Erp Study, Tiffany Bonnagio

Electronic Theses and Dissertations

Evidence for differences between assigned female at birth (AFAB) and assigned male at birth (AMAB) perceiving, processing, and evaluating infant faces has been mixed. The current study examined whether expected parental self-efficacy (EPSE) and desire for children predicts event-related potentials (ERPs) to infant facial affect in potential parents. No scale for EPSE exists. Therefore, we reworded the Perceived Maternal Parental Self-Efficacy scale from present to future tense. There was no correlation with EPSE scores, ERPs, or behavioral data. No difference was found between AFAB and AMAB in accurately evaluating infant faces; however, AFABs responded more quickly. ERP data revealed significantly …

Educator Perceptions Of Career And Technical Education Courses And The Involvement In Career And Technical Student Organizations On Student Attendance, Robert Satterfield

Electronic Theses and Dissertations

The purpose of this study was to investigate the perceptions of secondary teachers, administrators, and educational supervisors of the implications of Career and Technical Education courses and the involvement in Career and Technical Student Organizations on student attendance. Data for this study were collected quantitatively by utilizing Microsoft Forms to administer the survey to potential participants. The survey administered for this study contained 13 Likert scale questions and two open-ended questions. Once data were collected SPSS Version 25 was used to analyze the data from the survey. After data analysis, it was concluded that all 13 of the Likert scale …

Landslide Inventory And Unstable Slope Monitoring Along Highways In Eastern Tennessee, Robert Mcsweeney

Electronic Theses and Dissertations

This research introduces an unstable slope management program (USMP) for Tennessee based on federal slope management standards, along with improved methods for landslide monitoring with unmanned aerial systems (UAS) lidar and photogrammetry. In mountainous regions, monitoring slope hazards is a critical function of transportation management. A mobile field assessment form created with Survey123 was used to collect 22 unstable slope ratings in eastern Tennessee. Location points were appended with photographs, notes, and site information. Landslide scores ranged from 325 (Fair) to 1005 (Poor). UAS monitoring of a slow-moving soil landslide along I-40 near Rockwood, TN, produced high-resolution lidar and photogrammetry …

Service Provider Perceptions Of Systems Serving Individuals Experiencing Homelessness: A Needs Assessment And Strategic Plan In Johnson City, Tn, Opal Frye-Clark

Electronic Theses and Dissertations

This Integrated Learning Experience (ILE) investigates service providers' perceptions of Johnson City, Tennessee's homelessness services, aiming to inform a city-wide strategic plan for reduction. Employing a mixed-methods approach, the study gathered qualitative data through in-depth interviews with service providers in 2022 and quantitative data via a 2024 survey. The research focused on those directly involved in serving or significantly influencing the lives of individuals experiencing homelessness (IEH). Three key aims guided the investigation: (1) To analyze provider perspectives to identify community assets, opportunities, barriers, and unmet needs, informing a comprehensive needs assessment; (2) To refine these findings through SWOT analysis …

Making Social Interactions Accessible For The Blind And Low-Vision People By Detecting Emotions Through Vocal Tone, Facial Expressions, And Body Language, Gautham Krishna

Theses

Despite the thriving research in the field of accessibility, there are several niche area where there is a need for specific solutions. One such area is social interaction. Blind and Low-Vision people (BLV) are limited in identifying emotions through verbal communication alone, which is often biased and unreliable in certain environments. Prior research illustrates the importance of body language in expressions and articulates the mechanism behind human emotions. Drawing inspiratoin from such research and various studies that were focused on emotion recognition systems, our research focused on identifying a portable accessible solution for BLV that classified emotion based on multi-modal …

Design Of A Custom Embedded Replay Control Board For A Vintage Porsche, Christopher Heltz

Theses

Many industries rely on decades old software and electronics to run machines that are essential for America’s industry. These companies operate on the sentiment of “if it’s broke, don’t fix it”. This works great until something breaks, then these same companies are faced with a tough decision. Either replace the old software and electronics with modern solutions or fix the original electronics. Both options have their challenges, the first costs much more in the short term and will require many man hours to design a new solution however the latter will require finding the original documentation or having trained individuals …

Heat Transfer During Air-Water Two Phase Flow, Saumitra K. Deshpande

Theses

The effects of air injection on the heat transfer coefficient for the liquid flow in two-phase in microchannels are studied. Different manifolds and microchannel configurations are used for studying the effects of air injection. The manifold has a uniform gap of 400μm between the heater chip and the cover. A manifold is designed and manufactured to provide different air water flow patterns for different combinations of liquid and air flow rates. The effect of these flow rates on the heat transfer coefficient are studied. The flow rate for air injected is kept very small with respect to the flow rate …

Smart Credit Card Fraud Detection Using Machine Learning, Aisha Bin Sulaiman, Rowdha Masood Falaknaz

Theses

This thesis addresses the increasing issue of fraud resulting from technological advancements affecting both customers and fraudsters, while law enforcement agencies face challenges of inadequate case prioritization; data overload and slow investigative analysis. The central objective of this thesis revolves around strategies to counter these challenges, emphasizing the urgency of rapid response to major alert cases that can lead to widespread impacts. The authors' experience in financial fraud detection and credit card crime investigation within the police department has inspired this research, guiding the approach toward practical solutions for everyday operational challenges. The significance of this thesis lies in its …

Application Programming Interface For Embedded Protocol Management System, Mathew David Barrera

Theses

This paper defines an architecture and software structure which implements a polymorphic system to manage hardware devices. The architecture implements a system to manage integration of hardware devices by providing the constructs required to implement communication and data transport protocols with a method that manages system state independence of each hardware component integrated. The architecture components provide a system which maintains the independence of each device by defining abstractions between each component of the system providing the software constructs required to integrate hardware components which implement differing connections methods and communication protocols. The software architecture provides the means of Integration …

Development And Optimization Of Electric-Double-Layer Gated Transistors Based On Low-Dimensional Materials: Gate-All-Around Inas Nanowire Arrays And Graphene Channels, John Wyatt Morrell

Theses

Electric-double-layer (EDL) gating is a promising alternative to conventional gating methods for field-effect transistors (FETs), with potential applications spanning current logic, future logic, and neuromorphic computing architectures. This technique employs mobile ions in an electrically insulating but ionically conductive medium to generate strong local electric fields at the gate-to-channel interface, achieving field magnitudes on the order of 1 V/nm. These intense local fields enable significant charge carrier accumulation in the semiconducting channel, positioning EDL gating as a strong candidate for device applications. In this study, we investigate the use of low-dimensional channel materials, including two-dimensional graphene and one-dimensional InAs nanowires, …

Modeling Impact Of Simulated Myocardial Perfusion On Cardiac Ablation For Arrhythmia, Brendan Cappon

Theses

Bioheat transfer is the study of heat transfer applied in anatomy and physiology, which is relevant to maintaining homeostatic conditions from metabolic activity, thermal exposures, and various treatments and diagnostic methods. Blood flow significantly impacts heat transfer throughout the body, facilitating the diffusion of heat. Models have been developed to quantify bioheat transfer and the effect of blood flow through tissue for many biological functions and medical procedures, one of which is radiofrequency ablation for cardiac arrhythmia. Significant improvements to models and assumptions are still required as success rates for this procedure remain low for various arrhythmia types. The research …

Artificial Neurovascular Networks To Simulate Energy Distribution To Spiking Neural Networks, William Bottom

Theses

Biological neurons are known to be much more energy efficient than modern computers, with the human brain only consuming about 20 Watts. An Artificial Neural Network can take hours or days to train on high-performance and energy-consuming GPUs, so networks that can achieve similar performance at a fraction of the energy cost are very sought after. Spiking Neural Networks, which mimic biological neurons more closely than Artificial Neural Networks (ANNs), are a potential option for the energy problem in Neural Networks. By converting an ANN to an SNN and applying energy-saving methods/architectures, the equivalent SNN network can achieve similar performance …

Leveraging Ai To Improve Service Quality For Better Passenger Satisfaction At Airport, Abdulrhman Alsaleh

Theses

The aim of this research is to explore the impact of airport service quality on passenger satisfaction level in Dubai International Airport (DXB) and the study employed machine learning approach to establish the services quality dimensions relationship with passenger satisfaction. However, the initial objective is to analyze patterns and make future forecasts that DXB could use to enhance service delivery. The research focuses on key service quality dimensions: The study investigates the causal relationship between five constructs: reliability, service quality tangibility, assurance, responsiveness, and empathy using machine learning models such as regression and classification. The information data applies to the …

Using Machine Learning To Predict Energy Consumption In Commercial Buildings In The Uae, Saif Nasser Aljasmi

Theses

The ever-growing demand for energy necessitates a shift towards efficient management practices. Buildings, responsible for a significant portion of global energy consumption, present a prime opportunity for optimization. Building Energy Management Systems (BEMS) have emerged as a crucial tool in this endeavor, offering a comprehensive platform for monitoring and integrating various building systems. However, a key functionality within BEMS, energy consumption prediction, has faced limitations in accuracy. This stagnation hinders the full potential of BEMS for achieving optimal energy management strategies. Traditional methods for energy prediction often rely on historical data and lack the sophistication to capture the complex and …

Analyzing The Effects Of Economic Factors On Residential Real Estate Market Dynamics Of Dubai: Using Machine Learning Methods, Zarrina Shokirova

Theses

Dubai’s residential real estate market is known for its rapid growth and dynamic nature, making it an intriguing subject for analyzing the impact of various economic factors. This thesis examines how key economic elements such as GDP growth, inflation rates, and foreign investment influence property dynamics in Dubai. By synthesizing current research, this study aims to understand how these economic conditions affect real estate values, demand, and supply. Additionally, modern analytical methods, including decision trees, logistic regression, and random forest models, are employed to predict market trends and uncover significant patterns. This research contributes to both academic understanding and practical …

Temporal Analysis And Prediction Of Air Quality Based On Environmental Data, Mizbah Syed

Theses

Air pollution is one of the most pressing environmental challenges of the modern era, significantly impacting public health, ecosystems, and economic stability. Pollutants such as PM2.5, PM10, and NO₂—largely driven by urbanization, industrialization, and vehicular emissions—have exacerbated global health issues, including respiratory illnesses, cardiovascular diseases, and premature mortality. According to the World Health Organization, air pollution contributes to over 7 million deaths annually, with economic losses amounting to billions of dollars. Beyond its health and financial toll, air pollution worsens climate change, underscoring the urgent need for accurate air quality index (AQI) prediction to enable timely interventions and evidence-based policymaking. …

Robust And Efficient Active Inference For Perception, Action, And Learning, Zhizhuo Yang

Theses

Active Inference (AIF) is an emerging framework rooted in neuroscience aimed at elucidating human perception, action, and cognitive processes. Recent advances in machine learning have facilitated the non-invasive study of human cognition through the lens of this framework. This dissertation expands upon this theoretical foundation to address practical challenges in robotic control and human cognitive behavior analysis. We initiate our exploration with a review of the eye-tracking studies that underpin the motivation for AIF research. This provides a background for understanding how AIF can model cognitive processes. First, we present a minimal AIF model within a discrete state space, framed …

Rainfall Prediction Using Machine Learning Methods, Ibrahim Abdulla Obaidalla

Theses

The capability to predict rainfall effectively is crucial for both economic planning and safety measures. This project examined the performance of three well-known forecasting models: Long Short-Term Memory (LSTM), Autoregressive Integrated Moving Average (ARIMA), and Seasonal Autoregressive Integrated Moving-Average (SARIMA) to determine their accuracy in predicting rainfall patterns. Extensive analysis of data was conducted to identify which model was the most reliable and accurate, considering varying climatic conditions and time scales. The LSTM model, a type of network designed for sequential data, was expected to excel due to its ability to understand long-term dependencies in data series. This is vital …

The Tale Of Mari, Anya Vaughn

Theses

The Tale of Mari is a mixed media animated documentary which follows the life of Mari Arakaki Gaskins. Shortly after moving to America in the 1970s, Mari began illustrating comic strips about a Japanese family, emulating the cartoons she saw in newspapers. She sent a letter to the creator of Garfield, Jim Davis, and included her comics. Davis sent her a response, and told her that her artwork was good. However, he believed that the strips were unlikely to be published, because comics about a young Japanese girl would not be relatable to American audiences. Mari grew up during a …

Evaluation Of A Non-Metallic Dual-Port Expander For Intensity Modulated Proton Therapy, Kristen Mcconnell, Zachary Fellows, James Kraus, Mauricio Acosta, Joseph Panoff, Eduardo Pons, Alonso Gutierrez, Andrew Wroe

All Publications

Purpose: To provide a methodology for characterization of the technical properties of a newly developed non-metallic tissue expander for intensity modulated proton therapy.

Methods: Three tissue expanders (AlloX2-Pro: plastic-dual port, AlloX2: metal-dual port, and Dermaspan: metal-single port) were deconstructed, CT-scanned, and modeled in RayStation12A. A 165 MeV single spot was used to create RayStation dose planes, and the integrated depth dose profiles were calculated and the DR90 extracted to predict water equivalent thickness (WET). These predictions were compared to measurements taken with an IBA Giraffe MLIC. Native, water, and fully modelled overrides were compared for the AlloX2 Pro to quantify …

Parp1 Modulates Gata3-Mediated Gene Regulation In Breast Cancer, Mikhala Cooper

Theses and Dissertations

In eukaryotic cells, chromatin acts as a physical barrier for many transcription factors, preventing them from efficiently binding to their recognition sequences within the nucleosome. Pioneer factors are a class of transcription factors that bind to nucleosomes and activate silent chromatin. Pioneer factors are frequently involved in various immune cell pathways, tissue development, and homeostasis, thereby underscoring their important roles in development and disease. Previous research found that pioneer factors have at least three fundamental properties: 1) they can interact with their cognate recognition sequences before transcription activation, 2) they can increase local chromatin accessibility, and 3) they have integral …

Understanding Mental Health Awareness And Knowledge Of Flight Instructors, Eric Michael Buteau

Theses and Dissertations

Mental health has become an increasing concern in the aviation industry, with pilots often withholding health information for fear of losing their medical certification. Certified Flight Instructors (CFIs), who interact closely with students, are in a unique position to recognize and address mental health crises but lack sufficient training in this area. This study examines CFIs' awareness, knowledge, comfort, and willingness to engage with mental health issues in aviation. A survey was distributed to CFIs at a large aviation university. Survey results revealed no significant correlation between years of experience and knowledge or comfort with mental health topics. However, a …

Redistribution With Political Constraints: Legal Rules Compared To Taxes And Transfers, David Weisbach

Penn State Law Review (2003 - Present)

No abstract provided.