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Community Response To Floods In The Cache River Watershed Of Southern Illinois: Application Of A Proposed Framework For Assessing General And Specified Community Resilience, Raymond Albert Bieri Iii Dec 2024

Community Response To Floods In The Cache River Watershed Of Southern Illinois: Application Of A Proposed Framework For Assessing General And Specified Community Resilience, Raymond Albert Bieri Iii

Theses

Recent years have seen increased awareness about the potential adverse impacts of climate change on hydrologic systems and human communities. The concept of community resilience – the capacity of communities to respond to drivers of change in a manner that maintains or improves upon community well-being – is widely recognized as a suitable framework for informing climate change adaptation policies. Emerging insights from the community resilience literature highlight the importance of the distinction between general resilience, which refers to the resilience of social-ecological systems to all kinds of drivers of change, and specified resilience, which is concerned with the resilience …


A Focus On The Social Validity Of Treating Stereotypy Using Response Interruption And Redirection, Maggie Grace Ratcliff Dec 2024

A Focus On The Social Validity Of Treating Stereotypy Using Response Interruption And Redirection, Maggie Grace Ratcliff

Theses

Stereotypy refers to a class of operant repetitive motor and vocal responses with no readily apparent goal or purpose (Rapp & Vollmer, 2005; Singer, 2009; Wunderlich et al., 2023). Although most stereotypy is clinically insignificant and does not warrant treatment (i.e., nail biting, hair twirling), some stereotypy persists at a frequency or severity which interferes with skill acquisition, social interactions, and daily living skills. Stereotypy which persists at this level is considered clinically significant and is often the target of treatment (Wunderlich et al., 2023). A variety of evidence-based treatments for the reduction of stereotypy exist, though some neurodiversity advocates …


Using Stimulus Equivalence Procedures To Increase Police Officers' Identification Of Behavioral Functions, Caitlin Sturges Dec 2024

Using Stimulus Equivalence Procedures To Increase Police Officers' Identification Of Behavioral Functions, Caitlin Sturges

Theses

Mentalistic constructs and theories have been spouted since the dawn of mankind to explain the many behaviors of humans. These philosophies, however, leave many unanswered questions in society’s understanding of why complex behaviors (e.g., the multifaceted behaviors between police officers and citizens) occur. Society has entered an era of policing reform. Moreover, society is in search of answers as to why violent and seemingly complex behaviors are on the rise between law enforcement officials and citizens. The purpose of this study was to teach police officers the four functions of behavior utilizing equivalence-based instruction (EBI). Three active-duty law enforcement officials …


Predator-Prey Interactions And Space Use Strategies For Two Mesocarnivores, Abigail Weber Dec 2024

Predator-Prey Interactions And Space Use Strategies For Two Mesocarnivores, Abigail Weber

Theses

Mesocarnivores, including bobcats (Lynx rufus) and coyotes (Canis latrans), serve an important ecological role, functioning as the top predators throughout much of the eastern United States due to the extirpation of larger-bodied carnivores. Mesocarnivores are often described as generalists due to their flexibility in forage and habitat preferences and their ability to persist in human-dominated landscapes. However, this characterization overlooks the fact that many individuals within these populations act as specialists, with movement, space use, and predation strategies varying between individuals and across environmental contexts. Quantifying variability in mesocarnivore space use and movement from multiple perspectives can provide a better …


Predicting Newborn Low Birth Weight: A Machine Learning Approach Using Maternal Health And Demographic Data, Rayan Elsayed Dec 2024

Predicting Newborn Low Birth Weight: A Machine Learning Approach Using Maternal Health And Demographic Data, Rayan Elsayed

Theses

Low birth weight (LBW), defined by the World Health Organization as a birth weight under 2500 grams, remains a major global health challenge due to its association with increased risks for adverse neonatal and long-term health outcomes. This study aims to identify maternal health factors that contribute to LBW and to develop predictive models to support early identification of at-risk pregnancies. Two machine learning models, Logistic Regression (LR) and Random Forest (RF), were developed to analyze the relationship between maternal factors and LBW outcomes. The RF model achieved an accuracy of 96.36%, demonstrating robust predictive performance across metrics, making it …


Tehran Is Ours, Hamideh Azimi Dec 2024

Tehran Is Ours, Hamideh Azimi

Theses

Tehran is Ours is a thesis film, mainly 2D animation, with some experimental and 3D parts. This film dramatizing the movement that is happening in Iran which is about women’s rights. 2D fluid animation represents the movement that never stops.


Shape Between Intimacy, Mackenzie Serwa Dec 2024

Shape Between Intimacy, Mackenzie Serwa

Theses

This thesis examines the parallel exploration of raw tactile materials and relationships to develop a personal dialogue of intimacy. It breaks down the materiality of glass, clay, and the impulse of collecting, aiming to communicate the human connections shared between each. By engaging with materials in this way, this study aims to foster a deeper understanding of the existence, influence, and expression of intimate relationships.


Applying Machine Learning For Crime Trend Analysis, Dana Alsoori Dec 2024

Applying Machine Learning For Crime Trend Analysis, Dana Alsoori

Theses

The analysis of crime rates has always been a critical component in shaping law enforcement strategies and public policy. This study focuses on the U.S. crime rates from 1975 to 2015, as reported by the FBI’s Uniform Crime Reporting (UCR) Program, to explore patterns and trends over four decades. By analyzing this extensive dataset, the project aims to provide insights into the dynamics of criminal activity across different regions and crime categories. The goal is to uncover both visible and hidden trends that can inform better decision-making in crime prevention and resource allocation. With the rise of data-driven methods, this …


Mitigating Network Congestion In High-Density Areas Through Advanced Distributed Antenna Systems, Amal Abdulrahman Albeshr Dec 2024

Mitigating Network Congestion In High-Density Areas Through Advanced Distributed Antenna Systems, Amal Abdulrahman Albeshr

Theses

This dissertation investigates the optimization of Distributed Antenna Systems (DAS) to address network performance challenges, enhance user satisfaction, and improve operational efficiencies in high-density environments. The study explores the integration of DAS with smart city infrastructure to support modern urban needs, such as real-time monitoring and IoT device connectivity. Set against the backdrop of growing urbanization and increasing demand for reliable connectivity, this research provides a comprehensive analysis of DAS as a transformative solution for telecommunications and smart city applications. The primary research question guiding this study was: How can Distributed Antenna Systems (DAS) be optimized to enhance network performance …


Oh, But If I Had The Stars From The Darkest Night…, Kendra Jean Keefer Dec 2024

Oh, But If I Had The Stars From The Darkest Night…, Kendra Jean Keefer

Theses

This paper explores how memory and loss interact with a yearning for home in the installation, Oh, but if I Had the Stars from the Darkest Night. Through sound, moving image, photography, mark-making, and poetry this thesis work explores universal themes of exile and migration, alongside the impact the current high stakes political climate had on one LGBTQIA+ teen and their mother, as they leave a home and extended family in North Texas to find sanctuary in Carbondale, Illinois. The natural world of Southern Illinois, with a focus on the lives of local white-tailed deer, becomes a mirror and a …


Making Social Interactions Accessible For The Blind And Low-Vision People By Detecting Emotions Through Vocal Tone, Facial Expressions, And Body Language, Gautham Krishna Dec 2024

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 Dec 2024

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 …


Recast, Reform, Reshape: Surreal Figurative Painting, Keely Wu Dec 2024

Recast, Reform, Reshape: Surreal Figurative Painting, Keely Wu

Theses

This thesis explores the use of surreal imagery and the reimagining of historical subjects as a means to discuss complex ideas of identity. In this exploration, I chose to use the human figure as a vessel for expressing my own intimate viewpoints and experiences. Through a series of paintings, I investigate how the juxtaposition of human forms with non-human elements challenges conventional notions of gender and sexuality to empower marginalized perspectives. My Master’s degree started with my transition from commercial illustration to fine art. The study examines my evolution of thematic and stylistic choices, emphasizing the creation of new works …


Impact Of Coolant Temperature On Boiling Chamber Performance For Cooling Electronic Chips, Nooruldeen Mustafa Dec 2024

Impact Of Coolant Temperature On Boiling Chamber Performance For Cooling Electronic Chips, Nooruldeen Mustafa

Theses

Data centers in their quest for ever-increasing processing power are generating more heat than ever before. This heat, if not effectively managed, can lead to equipment failure, reduced performance, and significant financial losses. The development of efficient cooling systems is therefore a pressing need. While numerous two-phase techniques have been developed to meet this escalating heat dissipation demand, their compatibility with free-to-air cooling, especially at higher temperatures, remains a challenge. To address this issue, we propose the use of boiling chambers employing subcooled boiling and submerged condensation mechanisms, an innovative solution that promises effective heat dissipation. This study delves into …


Smart Credit Card Fraud Detection Using Machine Learning, Aisha Bin Sulaiman, Rowdha Masood Falaknaz Dec 2024

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 Dec 2024

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 …


Type Unbound: An Exploration Of Typography, Ar, And Its Creative Power, Honey Ashvinkumar Gardharia Dec 2024

Type Unbound: An Exploration Of Typography, Ar, And Its Creative Power, Honey Ashvinkumar Gardharia

Theses

‘Type Unbound’ is a typographic poster series and campaign designed to celebrate typography, exploring its dynamic possibilities through Augmented Reality (AR) simulation. This project bridges traditional and digital design by allowing users to scan posters and experience typography that defies its static nature, coming alive with animations. Each poster focuses on a distinct theme and these themes showcase the multifaceted powers of typography, highlighting its ability to communicate, inspire, and transform. The animated interactions go beyond aesthetic appeal, serving as a means to understand what type can do—how it shapes rhythm, creates form, adds dimension, and alters perspectives. By combining …


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 Dec 2024

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, …


Unstable, Virginia Guerrero Dec 2024

Unstable, Virginia Guerrero

Theses

Unstable is a film about a music-driven, psychedelic journey of reality slipping into a frenzy of madness. It explores bringing music to life with emphasis placed on music pacing, mood, and my own simultaneous, involuntary experience of color when listening to music. The film tells the story of a trapped, creepy, skeletal character escaping his shackles and causing mayhem. He bends reality and experiences several transformations as the music becomes increasingly aggressive. The story is primarily narrative with experimental features, including abstract backgrounds, varying art styles, and unexpected transitions. The main character goes through painful, physical changes and eventually reaches …


Enhancing Medical Cybersecurity: A Machine Learning Solution For Intrusion Detection In Iomt Devices, Afra Yaqoob Dec 2024

Enhancing Medical Cybersecurity: A Machine Learning Solution For Intrusion Detection In Iomt Devices, Afra Yaqoob

Theses

In the past few decades, the healthcare sector has undergone major technological advancements, which have included the adoption of Internet of Medical Things (IoMT), and networked medical devices. These advancements have changed the manner in which patient care is provisioned, enabling for more accurate diagnosis, personalized treatment plans, among other benefits. However, as healthcare providers are growing more reliant on interconnected systems, they have also been exposed to critical cybersecurity vulnerabilities. Medical devices have now become targets for cyberattacks, threatening patient data and its security and endangering patient's health and safety. This thesis examines the affects that inadequate cybersecurity measures, …


Leveraging Ai To Improve Service Quality For Better Passenger Satisfaction At Airport, Abdulrhman Alsaleh Dec 2024

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 …


Small Angle X-Ray Scattering And Form Factor Modeling Of Β Crystallins - A Physiologically Significant Eye Lens Cytoplasm Protein, Srijan Banerjee Dec 2024

Small Angle X-Ray Scattering And Form Factor Modeling Of Β Crystallins - A Physiologically Significant Eye Lens Cytoplasm Protein, Srijan Banerjee

Theses

This thesis provides in depth analysis of small angle x-ray scattering (SAXS) experiments conducted on the beta-high crystallin eye lens cytoplasm protein. In particular, radius of gyration and molecular weight measurements are extracted and compared to measurements from existing work. Furthermore, an approach to math ematically modeling the scattering ”form-factor”, which describes the size and shape of individual particles, is also developed and applied to the SAXS data. The model acheived in the thesis appears to agree closely with scattering data at the low q range. Several obstacles which impede the resulting modeling from perfectly characterizing the data at higher …


Rainfall Prediction Using Machine Learning Methods, Ibrahim Abdulla Obaidalla Dec 2024

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 …


Investigating The Effect Of Active Living Wall On Indoor Air Quality And Energy Consumption: Case Study In Uaeu Closed Offices, Atina Mohsen Ghunaim Dec 2024

Investigating The Effect Of Active Living Wall On Indoor Air Quality And Energy Consumption: Case Study In Uaeu Closed Offices, Atina Mohsen Ghunaim

Theses

Extreme hot climates can significantly affect Indoor Air Quality (IAQ) and ventilation, resulting in higher energy demands. Numerous studies have demonstrated that outdoor greening, such as trees and landscaped areas, can reduce a building’s energy consumption. However, less research has been conducted on the impact of indoor vegetation on energy use and air quality. Indoor vegetation decreases Carbon Dioxide (CO₂) concentration by absorbing CO₂ and releasing oxygen (O₂), while the evapotranspiration process further enhances (IAQ) and reduces energy expenditure. The United Arab Emirates has dry arid climate and summers with high humidity levels, causing individuals to stay longer indoors, which …


Induction Program Practices On New Teachers In Public School In The United Arab Emirates, Reem Mohammed Al Hajri Dec 2024

Induction Program Practices On New Teachers In Public School In The United Arab Emirates, Reem Mohammed Al Hajri

Theses

This study examines the induction program practices for new teachers in United Arab Emirates (UAE) public schools. It evaluates key components—including orientation, mentoring, professional development, teacher networking, and administrative support— and analyzes their impact on new teachers’ integration, professional growth, and overall satisfaction. Additionally, it investigates how demographic factors such as nationality, educational qualifications, and teaching experience influence teachers’ experiences and perceptions. By employing a cross-sectional survey design, quantitative data were collected from 150 public school teachers across various emirates. Findings revealed that most new teachers held positive perceptions of the induction program domains. Gender comparisons indicated minimal differences, except …


Breaking The Grid: Metamorphosis And Materiality In Meret Oppenheim’S An Evening In The Year 1910, Jacklyn Meyer Dec 2024

Breaking The Grid: Metamorphosis And Materiality In Meret Oppenheim’S An Evening In The Year 1910, Jacklyn Meyer

Theses

This paper analyzes Meret Oppenheim’s painting An Evening in the Year 1910 from 1972 and its exploration of the theme of metamorphosis and materiality. Looking at certain biographical information about the artist’s crisis period and time spent with the Surrealist group is crucial in understanding what can be discerned from viewing this work. Other works with the theme of metamorphosis within her oeuvre are studied as they provide further context for Oppenheim’s artistic philosophy and her penchant for revisiting themes repeatedly. Other works with the theme of metamorphosis are studied as they provide further context for Oppenheim’s artistic philosophy and …


Project-Based Learning In Art History: Course Curriculum, Katelyn Baltes Dec 2024

Project-Based Learning In Art History: Course Curriculum, Katelyn Baltes

Theses

The course entitled “Project-Based Learning in Art History” is a rigorous curriculum that introduces students to art history but creates a better understanding of how materials and techniques were used throughout time. Students in 11-12th grade will be able to apply their knowledge and learning through projects integrated within each unit to develop a stronger understanding of the content. Students will be able to apply the design elements and principles of design within their artwork and recognize the different characteristics of various periods and cultures. There will be the use of two-dimensional and three-dimensional art within each unit, and students …


The Intersection Of Interactive Narrative And Flow State Immersion: An Exploration Of Trauma, Resilience, And Post-Traumatic Growth, Tiffani Barner Dec 2024

The Intersection Of Interactive Narrative And Flow State Immersion: An Exploration Of Trauma, Resilience, And Post-Traumatic Growth, Tiffani Barner

Theses

This work investigates the benefits of interactive narratives in conjunction with flow state immersion for individuals with Post-Traumatic Stress Disorder. A specific focus is placed on narratives that contain dark or horror-based themes. In addition, the importance of selfauthorship, representation, and empowerment are explored. Accompanying the examination of flow state, concepts such as challenge, failure, and the motivation to succeed at challenging tasks are analyzed. This work also includes a survey pertaining to user preferences regarding media and genre preferences. The goal of this project is to design an interactive user experience that activates flow state while also providing an …


Beauty Beyond Barbed Wire: Chiura Obata’S Perspective Of The Horizon, Bri Carlson Dec 2024

Beauty Beyond Barbed Wire: Chiura Obata’S Perspective Of The Horizon, Bri Carlson

Theses

Depictions of the environment are an integral part of American art history because they convey cultural relationships of all who inhabited the land. The environment is often a stagnant force that harbors lifetimes of human history. One of these histories is the incarceration of about 120,000 Japanese immigrants and American citizens in 1942 after the bombing of Pearl Harbor. They were forced to evacuate their homes, lives, and families to live in detention centers and prison camps where living conditions were subpar. Many turned to art making to cope, and some artists used their work to silently protest and visually …


Beauty In The Mundane, Madeline Caniglia Dec 2024

Beauty In The Mundane, Madeline Caniglia

Theses

This project focuses on challenging what compositions are considered valuable as art. The primary focus is on the relationship between light and shadow and how it contributes to the revelation of finding beauty in the mundane. This project involves studying old masters like Caravaggio and Edward Hopper while employing their techniques and methods in my artworks. Through a series of oil paintings, I depicted everyday objects and scenes to demonstrate how classical techniques, paired with contemporary subjects, help bridge historical and artistic practices with modern art.