Digital Commons Network^™

Examining Choices Of Sarcastic Responses In Dialogue With Virtual Interlocutors, Samantha Langley

Theses and Dissertations

We report the results from three experiments examining people’s preferences for using sarcasm in conversation as a function of: 1. whether their interlocutor uses sarcasm during the conversation; 2. Their knowledge about whether the interlocutor has used sarcasm in a previous conversation; 3. The presence of prosodical and visual cues for interlocutors’ sarcasm. In each experiment, participants took part in two conversations, and we manipulated whether the interlocutors were sincere or sarcastic and whether they remained the same or changed from one conversation to the next. Experiment one used written conversations and experiment two and three used pre-recorded video clips …

Rethinking Gifted Education: An Improvement Science Study On Differentiation And Academic Growth, Mabra Herlong Wayman

Theses and Dissertations

This Dissertation in Practice addresses the problem of inconsistent academic growth among gifted and talented (GT) students in grades 3–5 at Riverview Elementary, where local STAR data show a persistent pattern of GT students falling into the Low Growth, High Proficiency category. Using improvement science as a framework, the study employed empathy interviews, a fishbone analysis, and a driver diagram to identify root causes and guide the development of a professional development (PD) intervention. The PD focused on building teacher capacity for differentiation through high-impact strategies such as problem-based learning, acceleration, independent study, curriculum compacting, and flexible grouping. The intervention …

Adapting To Inflationary Pressures: Household Coping Strategies In Urban Egypt (2016– 2025), Mohamed Mohamed Ashraf Kamal

Theses and Dissertations

Over the past decade, Egypt has faced persistent economic challenges including repeated currency devaluations, high inflation rates, subsidy reforms such as the gradual reduction of food and energy subsidies, and the ripple effects of global crises that have significantly impacted household well-being, especially in urban areas. These pressures have eroded purchasing power and heightened food insecurity, especially among low- and middle-income families. Although substantial attention has been paid to macroeconomic indicators, there remains a critical gap in understanding how households adapt on a daily basis to manage financial stress and sustain their livelihoods. This inquiry is especially timely, as household …

Deep Learning-Based Change Detection In High-Resolution Remote Sensing Imagery, Hazem Badawy

Theses and Dissertations

Remote sensing has become a key tool for monitoring Earth’s surface over time, offering valuable insights into both natural and human-driven changes. Among its many applications, change detection focuses on analyzing multi-temporal imagery to reveal how specific areas evolve across different time periods. It plays a pivotal role in Earth observation applications, including urban development monitoring, environmental degradation assessment, and disaster response. However, existing approaches often struggle with limited contextual awareness, high sensitivity to noise, and imprecise localization of change boundaries, especially with high-resolution imagery. This thesis investigates the complex problem of change detection in remote sensing imagery by proposing …

The Effectiveness Of Public-Private Partnerships In Addressing Residential Urban Development Challenges In Greater Cairo, Sara Nagy Abdelmessih

Theses and Dissertations

This research explores the effectiveness of Public-Private Partnerships (PPPs) in tackling the residential urban development challenges facing Cairo today. In the past two decades, PPPs have emerged as a dominant mode of housing production, positioned as collaborative ventures between state agencies and private developers. They have become integral to the expansion of Greater Cairo, producing vast new urban extensions under the promise of mobilizing private capital, technical expertise, and delivery capacity. Yet, questions remain about whether these arrangements genuinely address Egypt’s most urgent housing needs, or whether they reproduce market-driven logics that leave large segments of the population excluded. The …

Leveraging After School Programs As Resources To Support Adolescent Health And Wellbeing Within Underserved Communities: A Qualitative Study, Olivia Staples

Theses and Dissertations

Over the past decade, youth have shown a consistent rise in stress, major depression, anxiety, and suicide, with underserved youth (low-income, minoritized communities) at greatest risk of exposure to chronic stress, related outcomes, and less access to health services (APA, 2017). Afterschool programs (ASPs), which serve as important resources in underserved communities, can be a critical support for youth health and well-being (Afterschool Alliance, 2019). However, few studies have examined ways in which ASPs address the challenges underserved youth face across their ecosystem to promote youth resilience (Jones & Deutsch, 2011). Using qualitative interview data from staff and youth across …

​​​Creating A Resident And Fellow Scholarly Activity Tracking Tool In A Large Academic Health System: A Dissertation In Practice​, Elyse Anne Wieszczecinski

Theses and Dissertations

Documenting and reviewing resident and fellow scholarly activity within a sponsoring institution can be a laborious task. With multiple lines of information coming from a wide variety of sources, this problem of practice implemented the Information Systems Success Model to help develop a database by which this information can be collected in a way that is efficient while maintaining the need for a user-friendly product. While other healthcare entities have also incorporated this model into their scholarly activity collection, these are still individual needs of the sponsoring institution and its constituents to consider when adapting the strategy. Using an improvement …

Thesis: Comparing Functional And Effective Brain Connectivity Metrics For Eeg, Diksha Srishyla

Theses and Dissertations

Background:Brain connectivity measures have been used to study communication between brain regions using electroencephalography (EEG). Functional and effective connectivity estimate the synchronization and the flow of information between regions, respectively. However, findings from studies using different measures to investigate similar connections do not converge. To guide the selection of functional and effective connectivity measures in future studies, we systematically compared a set of measures in the context of resting state EEG. We examined four functional connectivity metrics (coherence (Coh), the imaginary part of coherence (imCoh), the corrected imaginary part of phase lagged value (ciPLV), the debiased weighted phase-locking index (dwPLI)) …

Ai-Driven Autonomous Manufacturing: A Novel Taxonomy, Vision-Guided Planning, And Diversity-Aware Active Learning Frameworks, Ibrahim Yousif

Theses and Dissertations

Manufacturers face two opposing challenges: the escalating demand for customized products and the pressure to reduce lead times. Current manufacturing equipment, although reliable, operates at the limits of its technology and lacks adaptability to dynamic environments. This trade-off has been described as the optimal degree of automation, a threshold beyond which further automation incurs more cost than benefit. Smart manufacturing has introduced adaptive, data-driven systems, but many deployments still lack the contextual adaptability and autonomous decision-making required to handle unplanned disruptions. This underscores the need for intelligent, autonomous systems capable of real-time adaptation without costly reconfiguration, minimizing human intervention during …

Towards Accurate First-Principles Modeling In Heterogenous Catalysis: Ethane Dehydrogenation And Hydrogenolysis Over Pt Catalysts, Mubarak Ayo Bello

Theses and Dissertations

First-principles modeling has become central to heterogeneous catalysis research, offering mechanistic insight and guiding catalyst design, yet conventional approaches often struggle to accurately describe complex catalytic systems due to methodological uncertainties, simplified assumptions, and the structural diversity of nanoparticle catalysts. This dissertation addresses these challenges using ethane dehydrogenation (EDH) and hydrogenolysis (EH) over platinum catalysts as model systems. The first study benchmarks density functional theory (DFT) functionals against the random phase approximation (RPA) for the EDH network on Pt(111), identifying cost-effective functionals and demonstrating the efficiency of BEEF-vdW ensembles for capturing functional uncertainty. The second study (addressed in prior work) …

Multi-Perspective Feature Learning For Facial Expression Recognition In The Wild, Xiangyu Hu

Theses and Dissertations

With the rapid progress of deep learning, Facial Expression Recognition (FER) has seen substantial improvements in performance, particularly “in the wild” meaning real world conditions. Despite these advances, most existing methods extract features from facial images as the sole emotional cues, which limits the model’s ability to capture the full complexity of human emotional expressions.

In reality, facial expressions are composed of diverse and multi-perspective information, including appearance-based cues and geometric structural deformations due to activations of facial muscles. Depending exclusively on one type of representation may fail to exploit the complementary nature of these cues, an issue that becomes …

New Approaches On Source Coding For Quantum Stochastic Sources And Implementation Of Quantum Fanout Gate, Rabins Wosti

Theses and Dissertations

The accurate computation of advanced quantum algorithms like Shor’s integer factorization, quantum phase estimation (QPE), and the quantum Fourier transform (QFT) requires quantum circuits of considerable size and depth. It is difficult to achieve reliable computation with deep quantum circuits due to the limited coherence times of the current noisy quantum devices. The quantum fanout gate is known to be a powerful primitive for reducing the depth of many quantum circuits (Høyer and Špalek 2003; Gottesman and Chuang 1999). Shallow or constant-depth quantum circuits are desirable for both near-term and fault-tolerant quantum computations as they reduce noise and allow faster …

Investigating The Influence Of Instructional Strategies On The Development Of Procedural And Conceptual Knowledge In Advanced Algebra Ii Students, Maura Frances Yinger

Theses and Dissertations

This mixed-methods action research study investigated the influence of instructional strategies shown to improve students’ procedural and conceptual understanding in a rational expressions and equations unit in Advanced Algebra II. The instructional strategies used in the study include comparing, self-explaining, and exploring before instruction. The students (N=27) completed a pre-test and a post-test, both of which were followed by questions asking students to justify their responses on two questions. All students also responded to six digital self-explanation journal prompts. Randomly selected students were placed into three homogenous groups to participate in performance task observations. Analysis of the data …

Parent Perspectives On Contemporary Adolescent Concerns, Allyson Worthy

Theses and Dissertations

Adolescence is a critical developmental period that marks the transition between childhood and adulthood. Psychopathology is known to emerge during this time, in which many internalizing and externalizing disorders have their onset. The assessment of adolescent psychopathology involves use of questionnaire measures to obtain perspectives from the adolescent themselves, their parents, and their teachers. Parents have been found to be especially important informants of adolescent functioning. With new challenges that arise for present-day adolescents (e.g., social media use), parents can provide insight into the different areas that need to be evaluated when assessing domains of contemporary adolescents’ development and psychopathology. …

Multilateral Organizations And Health Emergency Management During Crisis: The Case Study Of The World Health Organization During Covid-19 Pandemic, Aya Helmy Hamada

Theses and Dissertations

Multilateral organizations, such as the World Health Organization (WHO), play a key role in managing health emergencies during crises. During the COVID-19 pandemic, WHO achieved significant progress by supporting countries with technical assistance, guidelines, and essential resources. As well as providing technical guidance, sharing information, and coordinating among member states. This experience highlighted the importance of WHO in tackling global public health problems and showed how multilateral collaboration can help address complex challenges. Moreover, risk and crisis communication proved to be a critical part of WHO’s response, ensuring that clear and timely information reached the public and stakeholders. Despite these …

Journey To Proficiency: The Impact Of Explicit Problem-Solving Instruction In A Fifth-Grade Math Classroom, Brittany J. Terry

Theses and Dissertations

This action research study examined the impact of explicit problem-solving instruction on fifth-grade students’ mathematics proficiency and attitudes across skill levels. At the outset, students relied on rote procedures rather than conceptual reasoning, limiting their ability to apply skills in new contexts or understand why procedures work. Grounded in constructivist and sociocultural learning theories, the study aimed to move students beyond procedural fluency through explicit instruction of problem-solving strategies, modeling, guided practice, collaboration, and reflection. Over 8 weeks, 32 students participated in daily lessons. Findings from pre–post assessments, interviews, and portfolios indicate that explicit problem-solving instruction supported measurable growth in …

The Role Of Prelimbic Projections To The Rostromedial Tegmnetal Nucleus In Cue Discrimination, Emma Lane Carlson

Theses and Dissertations

Maladaptive decision-making, such as persistent reward seeking despite negative consequences, is a hallmark of substance use disorder (SUD) and related psychiatric conditions. These behaviors are thought to arise from impairments in aversive learning and disrupted neural signaling that normally supports behavioral inhibition. The prelimbic cortex (PL) plays a critical role in encoding cue–outcome associations and exerting top-down control over behavior, while the rostromedial tegmental nucleus (RMTg) serves as a GABAergic inhibitor of midbrain dopamine neurons in response to aversive stimuli. Although both structures have been implicated in reward and avoidance processes, little is known about how direct PL-RMTg projections contribute …

The Processing Of Emotional Prosody And Semantics In Native And Non-Native Chinese Speakers, Cheng Xiao

Theses and Dissertations

Emotional information in spoken language is conveyed through both semantic and prosodic cues. While listeners interpret the meaning of utterances (what is said), they also detect the speaker’s emotional prosody (how it is said). For non-native speakers, processing these two types of information simultaneously can be challenging, particularly in a tonal language such as Mandarin Chinese, where the same acoustic feature (i.e., pitch) encodes both lexical semantics and emotional prosody. This dissertation reports a series of behavioral and fMRI experiments investigating how native and non-native Chinese speakers perceive and process emotional prosody and semantics in words and sentences. Behaviorally, results …

Developing A Comprehensive Schoolwide Discipline Plan In Title 1 Southern Schools, Rose Clark Kebe

Theses and Dissertations

This qualitative case study explored how teachers in Title I schools across the southern United States perceived and experienced school discipline practices. The study addressed the problem of inconsistent implementation of restorative and preventive frameworks, which has contributed to inequitable outcomes, teacher frustration, and lost instructional time. Although initiatives such as Positive Behavioral Interventions and Supports (PBIS) are mandated across many districts, inconsistent use and limited fidelity have restricted their effectiveness in improving equitable discipline and school climate.

The purpose of the study was to examine teacher perspectives to inform the development of a culturally responsive, schoolwide behavioral system grounded …

Anthropomorphism In Language And Thought: The Effect Of Agentive Linguistic Framing On Readers’ Perceptions Of Ai Animacy, Dawson Petersen

Theses and Dissertations

Over the past decade, deep learning AI systems have gone from academic obscurity to near cultural centrality in the developed world. As these technologies become increasingly integrated into daily life, there is growing cause for concern about AI anthropomorphism—i.e., the perception of AIs as more human than they really are. Despite the potential risks, AI developers continue to market their technologies using agentive language that seems to be designed to encourage anthropomorphism. The current dissertation utilizes behavioral and eye-tracking methods to examine the relationship between agentive linguistic framing and AI anthropomorphism in both controlled judgments and automatic inferences. The results …

Application Of Machine Learning For Vascular System Analysis, Alireza Bagheri Rajeoni

Theses and Dissertations

The analysis of vascular structures is critical for diagnosing, monitoring, and treating vascular diseases such as aneurysms, stenosis, and vascular calcification. Traditional methods often rely on manual interpretation of imaging data, which is time-consuming, subjective, and not scalable. This work explores the application of advanced machine learning techniques to automate and enhance vascular system analysis. Our contributions include achieving state-of-the-art accuracy in vascular segmentation, developing a machine learning pipeline to automatically quantify vascular calcification in peripheral arterial disease, and designing a multi-stage machine learning system for abdominal aortic aneurysm analysis that identifies aneurysm boundaries and estimates aneurysm volume in a …

Downwind-Upwind Flux Path Analysis Method For Model Reduction Performance Evaluations, Christian Robert Smith

Theses and Dissertations

Large, complex chemical kinetic models have long since been limited by the computational cost it takes to evaluate said model. Over time many reduction methods have been developed to combat this computational cost. However, very little has been done towards evaluating the limitations of reductions as a way of understanding the original model’s characteristics. This paper aimed to use a path flux analysis-based reduction algorithm to rapidly develop multiple reduced mechanisms for a 96 species FFCM-2 methane chemical kinetic model as well as an 858 species n-Dodecane chemical kinetic model. The goal of formulating these reduced mechanisms was to identify …

Towards Accurate First-Principles Modeling In Heterogenous Catalysis: Ethane Dehydrogenation And Hydrogenolysis Over Pt Catalysts, Mubarak Ayo Bello

Theses and Dissertations

First-principles modeling has become central to heterogeneous catalysis research, offering mechanistic insight and guiding catalyst design, yet conventional approaches often struggle to accurately describe complex catalytic systems due to methodological uncertainties, simplified assumptions, and the structural diversity of nanoparticle catalysts. This dissertation addresses these challenges using ethane dehydrogenation (EDH) and hydrogenolysis (EH) over platinum catalysts as model systems. The first study benchmarks density functional theory (DFT) functionals against the random phase approximation (RPA) for the EDH network on Pt(111), identifying cost-effective functionals and demonstrating the efficiency of BEEF-vdW ensembles for capturing functional uncertainty. The second study (addressed in prior work) …

A Building Block Approach To Certification By Analysis Applied To A Ditching Analysis, Preliminary Studies, Sean Taylor

Theses and Dissertations

Extended Twin-Engine Operations (ETOPS) certification ensures safe trans-oceanic operation of transport category aircraft. A critical aspect of ETOPS certification is compliance with ditching regulations. The importance of ditching analysis has grown significantly and come under greater scrutiny because of the ‘Miracle on the Hudson’ incident. For transport category aircraft certified under 14 CFR 25 regulations, compliance with ditching requirements, rests on two major components. First, demonstrating acceptable aircraft dynamic behavior during the ditching event and second, ensuring the airframe can withstand the loads generated because of water impact.

Historically, original equipment manufacturers (OEMs) relied on comparisons to existing aircraft with …

Development Of A Strategy To Neutralize Ccl8 Activity And Ablate Ccl8 Cellular Targets, Bernardo Chavez

Theses and Dissertations

The chemokine CCL8 (monocyte chemoattractant protein-2) is a versatile signaling molecule involved in tumor progression, immune cell recruitment, and therapeutic resistance. Through activation of receptors including CCR1, CCR2B, and CCR5, CCL8 promotes leukocyte trafficking, epithelial–mesenchymal transition, and the establishment of immunosuppressive tumor microenvironments. In breast cancer and inflammatory diseases, elevated CCL8 levels correlate with poor clinical outcomes, making it a promising therapeutic target.

A strategy was developed to block CCL8 activity and selectively ablate CCL8 receptor expressing cells. A neutralizing monoclonal antibody, 1G3E5, was identified from a panel of murine candidates based on high affinity CCL8 binding. Sequencing revealed two …

Spectral Modeling Of Electromagnetic Radiation From Power Converters, Regan A. Varner

Theses and Dissertations

Switching power converters are increasingly utilized in contemporary electronics. They are becoming more compact and operate at higher frequencies, which contributes to radiated electromagnetic interference (EMI). This EMI is important to quantify for electromagnetic compatibility of the converters with other nearby systems. In this thesis, analytical models have been developed for both ideal and non-ideal switching waveforms, employing piecewise functions to describe time-domain waveforms, with their corresponding frequency spectra derived and compared to empirical spectra. The results demonstrate that the comparisons with measured frequency data exhibit agreement with the analytical models up to approximately 25 MHz. Additionally, our analysis indicates …

Calculating Surface Current Velocities From Video Generated From A Near Forward-Facing Camera, Colby James Weeks

Theses and Dissertations

This work presents a camera system for estimating surface currents. A combined camera and IMU system provide high resolution images and high precision orientation information, respectively. This eliminates the need for leveling and enables forward looking operation. The hardware stack includes a Lucid Vision Triton TRT162S monochrome camera, an SBG Ellipse D with dual antenna GNSS for precise pose, and an Nvidia Jetson Orin for acquisition and processing. The Ellipse D provides a hardware trigger at 10 Hz to time stamp each frame and to synchronize images with inertial measurements.

A camera calibration step estimates the intrinsic camera parameters and …

Towards Robust Bmocz Schemes For Non-Coherent Wireless Communication, Anthony Joseph Perre

Theses and Dissertations

Non-coherent communication has emerged as a promising approach to address several challenges at the physical layer. A particular scheme called binary modulation on conjugate-reciprocal zeros (BMOCZ) uses the zeros (i.e, roots) of a polynomial to convey information bits. In this thesis, we strive to improve the reliability of BMOCZ in various scenarios. In particular, we utilize machine learning (ML) methods to determine the parameters for BMOCZ and improve upon the decoding performance. Moreover, we introduce a smooshed BMOCZ variant to combat typical impairments encountered within wireless communications, including timing offsets (TOs) for noncoherent orthogonal frequency division multiplexing (OFDM). Through numerical …

Multi-Layer Decision Making For Long-Term Autonomous Mission Based On Dual Process Theory, Shruti Jadhav

Theses and Dissertations

Unmanned aerial vehicles (UAVs) are increasingly used in precision agriculture, where extended autonomous operation is required for monitoring, intervention, and field management. However, achieving long-term autonomy remains challenging due to battery constraints, environmental uncertainty, and the need to balance exploration with event-driven tasks. To address these challenges, a multi-layer decision-making framework inspired by Dual Process Theory (DPT) is developed. The framework combines reactive return-tobase strategies, exploratory navigation, and directional bias from prior missions, with a conflict-monitoring mechanism that adapts system behavior based on real-time conditions. The approach is implemented in a simulated agricultural grid environment, demonstrating improved adaptability and coverage …

Reduced Order Simulator Of A Nuclear Thermal Propulsion System, Jackson Taylor Zazzaro

Theses and Dissertations

This thesis presents the development of a reduced-order simulator for a nuclear thermal propulsion (NTP) system, designed to capture the key thermo-fluid and performance characteristics of such systems while maintaining computational efficiency. The primary objective of this work is to develop and demonstrate a modular simulation framework capable of modeling the coupled physics of an NTP reactor, nozzle, and orbital transfer system. The simulator integrates a reduced-order thermal-fluid model of the reactor, a simplified nozzle model, and an orbital transfer model, providing a comprehensive yet computationally efficient representation of the propulsion process. By employing reduced-order modeling techniques, the simulator achieves …