Digital Commons Network^™

An Evaluation Of The Teach-Back Method For Training Functional Analysis Methodology, Bethany Christie

Theses

Behavior analysts conduct functional analyses to identify the environmental contingencies maintaining challenging behavior, which allows them to develop a function-based treatment plan. Behavioral staff must be fully trained on functional analysis methodology before conducting the analysis. A common way to train staff to conduct a functional analysis is through behavioral skills training (BST), but BST is time consuming and includes numerous materials. Teach-back, a widely used training method in healthcare settings, requires less time and no materials. Currently, there is little research on the effectiveness of the teach-back method for teaching behavioral techniques, and there is no research on the …

Genetic Analysis Of Hereditary Gingival Fibromatosis Associated Sos1 Missense Variants Of Uncertain Significance In Caenorhabditis Elegans, Himani Patel

Theses

Hereditary gingival fibromatosis (HGF) is a disease that can present as benign overgrowth of gingival tissue in the mouth. The overgrowth can enclose the entire mouth and teeth in severe cases or present itself in a concentrated area. Researchers have identified that mutations in the SOS1 gene can be responsible for HGF. This disease can impair basic functions related to the mouth. Eating, smiling, speaking can all be affected. Additionally, excess inflammation can cause periodontal disease because of the difficulty in maintaining proper oral health. Periodontal disease can lead to severe bone loss which can lead to complete loss of …

The Ghanaian War Against Malaria: A Geospatial Approach To Malaria And Healthcare Access In Ghana, Emmanuel Aklie

Theses

This geospatial research project aims to analyze the complex factors influencing malaria incidence in Ghana, including healthcare access, cultural beliefs, and preventive measures. Using GIS mapping and spatial analysis, the study examines malaria distribution and healthcare facility locations to identify hotspots and access inequalities. Combining quantitative data from sources like Demographic and Health Surveys with qualitative methods like surveys and interviews, the project analyzes the relationship between malaria prevalence and vaccination rates, bed net usage, and cultural views on treatment. By taking a comprehensive approach focused on evidence-based insights, the research seeks to inform targeted interventions by the Ghanaian government …

Detailing The Effects Of Cannabidiol On Exosome Release In Ewing’S Sarcoma, Bennett Hasley

Theses

Ewing’s sarcoma (ES) is a highly aggressive pediatric cancer found within bone that carries a low five-year survival rate within its patients. This is due, in part, to the cancer’s high malignancy properties as well as the development of resistance to the chemotherapies used to combat this cancer. This project aims to determine if cannabidiol (CBD) has an effect on either exosome release or the protein, signal transducer and activator of transcription 3 (STAT3) within ES cells. Exosomes are vesicles that can carry proteins and other signaling molecules which are released by the cell and allow for cell-to-cell communication. Within …

Improving Adaptation Of Deep Learning With Inductive Bias, Xiajun Jiang

Theses

Human intelligence is strong at adapting to a small number of observations, partially because of the human ability to 1) use given knowledge and 2) distill knowledge from related but different data to guide learning for future tasks, where such ability is the inductive bias during learning. Deep learning shows a promising solution to artificial intelligence. However, generalizing or adapting deep learning models to heterogeneous tasks remains an open question. Existing data-driven models often ignore prior knowledge about the underlying problems of interest, or have limitations in incorporating complex knowledge into neural networks. The one-size-fit-all formula assumes the training and …

An Intelligent Framework For Efficiently Utilizing Distributed Heterogeneous Resources To Improve Hpc Application Performance, Moiz Arif

Theses

High-Performance Computing (HPC) workloads are being widely used to solve complex problems in scientific applications from diverse domains, such as weather forecasting, medical diagnostics, and fluid dynamics simulation. HPC workloads are traditionally executed on baremetal HPC systems, containers, functions, or as workflows or ensembles. These workloads consume a large amount of data and have large memory and storage requirements that typically exceed the limited amount of main memory and storage available on an HPC system. HPC workloads such as deep learning (DL) are executed on platforms such as TensorFlow or PyTorch, are oblivious to the availability and performance profiles of …

Optimizing V2v Energy Exchange Using Ai, Marwa Alghawi

Theses

A key factor in promoting sustainable economies, industries, and society is the use of electric vehicles (EVs). They are an important step toward a greener future since they reduce greenhouse gas emissions, improve air quality, and encourage energy independence. The demand for charging stations (CSs) will undoubtedly rise as the global EV market continues to grow over the next few decades, requiring significant investments from both public and private players. By creating a cutting-edge AI model, this work tackles the crucial problems of EVs range prediction and charging optimization decisions. The contributions are summarized as the below: 1. Developed AI …

Leveraging Sentiment Analysis For Tokyo Airbnb Hosts And Decision Makers, Shaikha Aldahmani

Theses

This study focused on the growing challenges that Tokyo Airbnb hosts and policymakers face in the holiday homes and home stays market. The study aimed to empower hosts with insights to optimize offerings and assist policymakers in informed decision-making for enhancing neighborhood experiences, with a focus on data-driven business strategies grounded in sentiment analysis. The project employed a robust methodology that leverages sentiment analysis techniques to gain insights from guest comments of Tokyo Airbnb listings spanning from September 2011 to June 2023. The CART algorithm and the Affin sentiment lexicon were used for data cleaning, consolidation, and sentiment analysis. The …

“Art For The Millions:” The Evolution Of Informal Learning From The Charleston Museum To The New Deal, Kristen Walker

Theses

The advent of the first museum in the United States in 1773, The Charleston Museum, sparked a shift in the way education is perceived and how it can be conducted. However, only recently has the intentional implementation of programs and exhibitions been created in a digestible way for the public. This thesis discusses how informal learning has evolved since the establishment of the Charleston Museum and the legacy of the Federal Art Project regarding informal learning and art education. Key research methods include the examination of primary and secondary resources, including oral histories held by the Smithsonian Archives of American …

There’S Always Room For Improvement: Implementing Indoor Navigation Using ‘Mappedin’ In The Rochester Museum And Science Center To Enhance The Visitor Experience, Izzy Moyer

Theses

Since March 2020, museums have dramatically increased their use of technology in museums to make their environments more engaging to their visitors. For indoor navigation, for instance, museums have used still images, PDFs, and QR codes as well as analog measures (such as directional signage and paper maps) to help their visitors navigate their institution. While these are helpful for understanding one’s general location, other digital wayfinding measures can foster information sharing as well as the opportunity to decrease “spatial anxiety.” This thesis describes the creation of a map for portable, indoor navigation using “Mappedin,” a cost-effective platform that is …

Hydrologic Impact Index For The Pinhoti Hiking Trail, Allie Field

Theses

Author note: The author of this thesis is also published under the name Allie Bobo.

This study aimed to identify flood-prone areas along the Pinhoti Trail and Chinnabee Silent Trail in the Talladega National Forest. Using the Hydrology Flood Index layer that was created using several essential data layers, the research aimed to provide campers, hikers, nature enthusiasts, and trail maintenance teams with information about areas at a higher risk of flash flooding. The Hydrology Flood Index layer rates the risk of flooding on a scale of 1 to 4, with level 1 indicating a low risk of flooding and …

Use Of Force In Policing: Do Female Police Officers Use Unjustifiable Force As Often As Male Officers?, Carma Dobson

Theses

Use of force (UOF) is a common practice in policing. My study focuses on the disposition of the use of unjustifiable force in policing. Utilization of pre-existing data with 5,771 use of force incidents from the New Orleans, Louisiana police department in the years of 2016-2021 produces an answer to the research question: Do female police officers use unjustifiable force as often as male officers? The chi-square test of independence results in my study indicates that there is no statistical difference between males and females.

A Comparison Of The Relative Magnitude Of Combinations Of Relapse Types In Rats, Mary Bridges

Theses

Applied behavior analysis uses scientifically derived methods to create treatments for socially significant behaviors. A threat to these successful treatments is the recurrence of previously reduced behavior (i.e., relapse). Relapse can be categorized into several types depending on the variables that induce relapse. Three types prevalent in clinical settings are reinstatement (i.e., induced by re-exposure to reinforcers or stimuli paired with the target behavior), renewal (i.e., induced by changes in context), and resurgence (i.e., induced by worsening of alternative reinforcement). Because relapse is harmful to long-term treatment maintenance, prior research has developed and tested mitigation strategies for these relapse types, …

Paul Celan And The Processes Of Survival In Post-Shoah Jewish Writing, Ari Savage

Theses

The following is a study of the poetry of Paul Celan as a representation of psychological and social processes present in the written works of Shoah survivors. It begins with an analysis of the place of writing in Jewish culture, then identifies three primary processes which operate in sequence: alienation, individuation, and integration. By examining Paul Celan’s highly personal and autobiographical texts in the context of his life experience as a Shoah survivor it is possible to discern the social and psychological forces at work which compel survivors to express their traumas in written form, and to gain a better …

Robust Machine Learning Under Vulnerable Cyberinfrastructure And Varying Data Quality, Sergei Chuprov

Theses

In our study, we investigate Machine Learning (ML) application robustness in ML Integrated with Network (MLIN) systems. We consider MLIN as an integration of three major components and interrelations between them: data sources, network facilities, and ML application. In contrast to the conventional approaches that focus on each separate component, we concentrate on their interrelationships, and consider them from the system integration perspective. We formulate our primary goal as to develop methods and tools aimed at assuring ML application performance towards Data Quality (DQ) variation in MLIN through improving ML application robustness. We examine the prior work on ML robustness …

Learning From Disagreement In Human-Annotated Datasets, Tharindu Cyril Weerasooriya

Theses

Artificial intelligence (AI) systems frequently need to learn from human decision makers, which aids in scaling systems for mass use. We see this in automated financial decisions, manufacturing processes, self- driving cars, and content moderation on social networks. These systems are built on human values and trained to mimic human decision-making through human annotation. However, different groups of human annotators, including domain experts, annotate content differently, leading to disagreements. Some practitioners treat dissenting opinions as “label noise”. A common approach to dealing with disagreement is to consider a majority vote, which effectively conceals the disagreements from the trained model. Although …

Transfer Learning Across Domains And Sensing Modalities, Chowdhury Sadman Jahan

Theses

Transfer learning facilitates the training of a deep learning (DL) model with limited or no labeled data, by initializing the network parameters using a similar model already trained on a different but related dataset or task. This dissertation examines two special cases of transfer learning for image classification tasks: cross-modal supervised learning, and cross-domain unsupervised adaptation. This dissertation proposes to apply cross-modal transfer learning to guide the training process of a DL model on Synthetic Aperture Radar (SAR) images via knowledge distillation from a DL model trained on corresponding electro-optical (EO) images. Furthermore, this approach explores class-balanced sampling strategies and …

Low Power Logic Locking Using Design Space Modeling To Achieve System-Wide Security, Long Lam

Theses

Rising design complexity and smaller technology nodes are escalating fabrication costs, prompting design houses to outsource to untrusted external facilities, which raises trust and privacy concerns. These concerns stem from the risk of security breaches like IP piracy, reverse engineering, and hardware trojans. The critical need to protect design intellectual property prompted the development of logic locking, a combinational hardware security technique that corrupts the functionality of a design without the correct secret key. However, the effectiveness of logic locking varies substantially based on how and where it is implemented within a system, including the specific technique families selected, the …

Adjoining Gates: Mitigating Optical Side-Channel Attacks On Integrated Circuits Through Security-Aware Placement, Thomas Wojtal

Theses

With the rise of outsourcing in Integrated Circuit (IC) fabrication processes, vulnerabilities in chip security have become a growing concern. These vulnerabilities can lead to attacks such as reverse-engineering, piracy, overproduction, and malicious modification of high-value intellectual property (IP) in a design. In light of this, a method called logic locking has been developed to protect chips prior to end-user shipment. Logic locking incorporates additional logic gates in a design to conceal a chip’s functionality during manufacture and test processes. However, recent developments have shown logic locking to be vulnerable to optical side-channel attacks. In this work, we explore these …

Novel Methods For Modeling And Treating Biofilm Infections, Emily Lazarus

Theses

Biofilms are responsible for the development of chronic infections, which are 10-1000 times more resistant to antimicrobial agents than two-dimensional (2D) planktonic culture. Traditionally, 2D planktonic cultures are used to study efficacy of antimicrobial treatments but 2D cultures have several shortcomings such as increased sensitivity to treatments, lack of complexity of the three-dimensional (3D) environment, limited host defense mechanisms, and lack the structural thickness of natural biofilms. Biofilm-related infections play a critical role in the delayed healing process of chronic skin wounds, and while treatments for chronic skin wounds exist, including negative pressure wound healing (NPWT), biofilm infections still prevail. …

Optimizing Supply Chain Dynamics Using Machine Learning, Mohammad Zubin Siddiqui

Theses

Supply chains face many challenges in today’s business environment. This paper examines how advanced analytics can be used to improve supply chain efficiency and resilience with a particular focus on demand forecasting and late delivery analysis. The thesis focuses on two areas, which are forecasting demand and analyzing late deliveries. With the help of data-driven models for forecasting demand and pinpointing reasons behind delayed shipments, establishments can take appropriate measures that will reduce risks and enhance operational efficiency. A complete analytic framework is suggested that integrates sophisticated analytics into supply chain management so that organizations can optimize all their operations …

From Ordinary To Extraordinary: Using Storytelling To Reveal The Hidden Histories Of Objects And Enhance Meaning Making In A Living History Village, Jill Poppenheimer Johnson

Theses

Objects without a narrative are simply things. By contrast, an object with a story can be used as a vehicle for a museum to open dialogues with visitors about the people of that time period, how they lived their lives, and what social aspects influenced them. The story of an object, what makes it different from hundreds of others just like it, can change it from ordinary to extraordinary and be used as a powerful learning tool by helping the audience to create connections and make meaning of what they are seeing and experiencing. This thesis explores the relationships between …

“Jí'Dë'Ö:H” Means Bird: Decolonizing The Modern Birding Experience Through The Inclusion Of Narratives From Indigenous Communities Of Western New York, Angelique M. Armstrong

Theses

This thesis explores the efficacy of combining Indigenous culture narratives with elements of traditional Euro-American field guides to create an alternative form of birding1 field guide. The desired outcome is to create a more inclusive and well-rounded birding experience that celebrates the wisdom and worldview of the people who inhabited the New World before its European “discovery.” The intention is to approach birding from the standpoint of the past and present Caretakers of the land; the members of Indigenous communities whose ancestors lived (and still live) in harmony with the land and living creatures (including birds). It seeks to answer …

Investigating Essential Oils, Natural Compounds, And Marine Based Rumen Buffers As Feed Additives For Enteric Methane Mitigation And Improved Ruminant Productivity, Ian Hodge

Theses

Ruminant dietary additives were investigated for enteric methane (CH4) mitigation and their effects on rumen fermentation characteristics during both in vitro and in vivo supplementation trials. A meta-analysis of the peer reviewed published literature was initially performed to establish the state of the art in the field and allowed benchmarking of the performance of the dietary additives screened during the project. Investigated feed additives included garlic oil (GO), nitrate, Ascophyllum nodosum (AN), Asparagopsis (ASP), Lactobacillus plantarum (LAB), calcareous marine algae (CMA), chitosan (CHI), essential oils (EO) and 3-nitrooxypropanol (3-NOP). The development of an in vitro screening method to evaluate the …

Intelligent Tutoring System Ontology, Wael Mohamed Hassan

Theses

The integration of pedagogical rules into Intelligent Tutoring Systems (ITS) using semantic web technologies, particularly the Web Ontology Language (OWL), holds great promise for enhancing the capabilities of these systems. However, a significant challenge arises from the labor-intensive process of manually constructing ontologies, which can consume valuable time and resources. While ontologies offer numerous advantages, including robust knowledge inference and scalability, the limitations of manual ontology creation are evident in terms of time and flexibility. Therefore, the primary objective of this research is to develop an efficient and automated solution that harnesses the benefits of ontologies while reducing the time …

Evaluating The Impact Of Hybrid Ventilation Strategies On Reducing The Cooling Load And Achieving Thermal Comfort Of Buildings: Regarding Arid Climate Of Uae, Sheikha A Hmed Al Niyadi

Theses

The hybrid ventilation system has shown considerable potential in managing indoor thermal comfort, preserving indoor air quality, and minimizing energy usage. This is achieved by integrating natural and mechanical ventilation. When natural ventilation is unfeasible, the system smoothly transitions to mechanical ventilation to uphold optimal indoor thermal comfort levels. However, the application of this system in extremely arid regions poses a challenge due to the high energy consumption linked to air conditioning and cooling during the summer. In these areas, air conditioning and cooling alone represent approximately 60% of urban energy consumption. This study aims to assess the viability of …

Theoretical And Computational Astrochemistry: A Variational Quantum Monte Carlo (Vqmc) Study Of The Trihydrogen Molecule Cation (H3+), Ahmad Saeed Alsaed

Theses

H₃⁺ is the simplest Three-Center Two-Electron molecule and it is of much interest in astrochemistry due to its high occurrence in the outer space, high reactivity, and strong acidic properties. In addition,H₃⁺ is involved in many chemical reactions in the interstellar medium (ISM) and its significant ability to absorb energy contributed to the cooling of the Universe during its early stages.

The main objective of this thesis is to approximate the ground state electronic energy of H₃⁺ by using a simple trial wavefunction consisting of a doubly occupied molecular orbital multiplied by a Jastrow …

Locally Tailored Knowledge, Attitude And Practice Towards Diet Sustainability Questionnaire: Validation Among Uaeu Adults, Asma Bahaaldeen Numan

Theses

Food production is a major contributor to global environmental change and sustainability. Sustainable diets can be defined as “diets with low environmental impacts which contribute to food and nutrition security and healthy life for present and future generations”. The United Arab Emirates (UAE) aims to enhance its food security to meet the current local demand and future needs of an increasing population. Before determining a sustainable diet pattern for the UAE population, it is foremost more important to understand the perception of sustainable diet production and consumption. A thorough comprehension of the knowledge, attitudes, and practices of the United Arab …

Faithful Representation Of Free Groups And Congruent Subgroups Of Sl3(Z), Julius Kurian

Theses

This thesis is concerned with the matrix representation of a free nonabelian group by matrices of size ≥ 3. We proceed from defining an equivalence class and then transitioning to free groups.We discuss in details the group G_n(k) which is the group generated by the matrices filled with first, (second, etc.) column, except for the intersection with the diagonal, and we have ones on the diagonal and zeros at the other places. The filled places are occupied by the same parameter k. An alternative proof for the known fact that G_n(3) is not …

Pricing Asian Options During Crises With The Impact Of Exogenous Event, Moath Ali Bakour

Theses

Asian options are financial derivatives products whose value depends on the value of underlying asset prices. These options are called path-dependent since their payoff is built on the prices of the underlying asset over some time. As in the case of the European options, the Asian option pricing problem is primarily subject to the prediction model for asset prices. The pioneer Black-Scholes model in the paper [2] suggests a GBM-Geometric Brownian motion. The Black-Scholes formula has several shortcomings. For instance, the Geometric Brownian motion does not take into consideration crises. Another problem in the Black- Scholes model is that it …