Digital Commons Network^™

The Non‑Penalization Machine: Mixed Movements In A Security‑Driven European Border Order, Raghda Elessawy

Theses and Dissertations

This thesis investigates how the non‑penalization principle for irregular border crossing is formally upheld yet effectively undermined in contemporary migration governance. It argues that non‑penalization now operates as a narrow, conditional and status‑dependent “machine” whose protections are fragmented across refugee, smuggling and trafficking regimes and heavily mediated by open‑textured conditions and domestic discretion. Part I reconstructs this doctrinal architecture, showing how key norms convert a humanitarian intuition into limited exceptions within a legal order that otherwise normalizes the criminalization of irregular movement. Part II situates this fragile framework within security‑driven and externalized forms of European border control, where punishment is …

The Paradox Of Palestinian Exile: Unrwa, Structural Limbo, And The Manufactured Crisis Of The Right To Return, Laila Ibrahim Hassan Elkassas

Theses and Dissertations

This thesis argues that the temporariness of Palestinian exile has been turned into a manufactured limbo that is sustained by international law, humanitarian governance and host- country regimes. It uses General Assembly Resolution 194 and the broader human rights regime to show how the right to return is constantly reaffirmed but structurally postponed, resulting in a gap between legal promise and political reality. Drawing on Edward Said’s notion of exile as an unhealable rift, Pierre Bourdieu’s concept of habitus and Didier Fassin’s thinking on humanitarian reason, the thesis constructs a multi-scalar framework that conceptualizes limbo as existential experience, embodied practice …

Readiness Before Adoption: Exploring Ai Integration In Egyptian Nonprofit Fundraising, Marwa Y. Zayed

Theses and Dissertations

 Abstract

Artificial intelligence (AI) has been transforming fundraising through data-driven decision-making, automation, and personalized donor engagement. Existing research focuses on AI applications and outcomes in the nonprofit sector in western context, with little known information in the Global South, particularly Egypt. This gap makes understanding the organizational conditions that shape AI difficult and limited. This thesis examines how organizational, cultural, ethical, and resource-related factors shape Egyptian nonprofit organizations’ readiness to adopt AI in fundraising. Through a qualitative approach, semi-structured interviews were conducted with 21 fundraising directors, CEOs, a governmental representative, and technology professionals working in Egyptian nonprofits based in Cairo …

Experimental And Numerical Analyses Of Eccentric Bolted Connections Subject To Shear And Torsion, Mohannad Mahran Zanaty

Theses and Dissertations

Steel connections are one of the pillars of the steel structures construction industry, and yet, it still to this day holds some ambiguities in our design procedures. Several authors believe that the elastic-based methods constricted connection design into a conservative approach, and accordingly initiated a method called Instantaneous Center, which is a method indicating that the center of rotation is around a fictitious point. The method was investigated analytically by exploring the domain and found the method often present multiple roots, with one of the roots often indicating an unrealistic point of rotation with a marginally high exaggerated capacity of …

Enhancing The Performance Of Brain-Computer Interfaces Via A Spatially-Aware Framework, Ahmed Ayman Eloraby

Theses and Dissertations

Electroencephalography (EEG)-based brain–computer interfaces (BCIs) provide a non-invasive pathway for communication, with the P300 speller being one of the most established paradigms. Despite its practicality, EEG signals present inherent challenges, including low signal-to-noise ratio, high dimensionality, and limited spatial resolution. These characteristics complicate the extraction of discriminative spatial patterns, which are critical for accurate P300 detection and character-level decoding.

This thesis addresses these challenges through the development of AttenPCA-Net, a deep learning framework that integrates spatially-aware processing with dimensionality reduction. Principal Component Analysis (PCA) is employed to reduce redundancy and noise while preserving the most informative components of the EEG …

Instagram Influencers And Egyptian Women: Links To Self- Perception And Behavior, Fatma El Sayad

Theses and Dissertations

The rapid rise of Instagram influencers has transformed the ways young women engage with media, shaping perceptions of appearance, lifestyle, success, and everyday behavior. This study examines how frequent exposure to Instagram influencers affects self-esteem, internalization of beauty and lifestyle ideals, perceived realism of influencer content, and behavioral and consumption habits among young Egyptian females. The study explores participants’ lived experiences, interpretations, and coping strategies in relation to influencer culture. Perceived influencer credibility emerged as a key factor for females to follow them, influencers viewed as relatable, specialized, and transparent were more likely to inspire adaptive behaviors, whereas those promoting …

Shaping Egypt’S Transition To Sustainable Electric Transport: Current Policies And Future Directions, Noha A. Ragab

Theses and Dissertations

Egypt has enacted policies to promote the adoption of electric vehicles (EVs) in order to reduce their overall carbon footprint. However, the pace of transition remains limited, so the research aims to answer the following question: “How do current policies shape Egypt’s transition towards sustainable electric transport, and what additional measures can support this transition?" The study employs a qualitative analysis methodology, based on diffusion of innovation theory and conceptual framework, to analyze current policies in Egypt and identify challenges and gaps in their implementation. It also analyzes responses from 23 interviews with experts in the field, manufacturers, dealers, EV …

Beyond Emergency: Charting Pathways To Sustainable Development In Fragile And Conflict-Affected Settings: A Case Study Of Yemen, Sharif Abdurabu Salem Farid Alsahbool

Theses and Dissertations

For nearly a decade, Yemen's eastern governorates of Hadramawt, Shabwah, and Al‑Mahrah have been relatively stable, yet the international aid system has kept delivering short‑term humanitarian relief like food baskets and water trucking instead of shifting to sustainable development that could rebuild people's lives, create jobs, fix infrastructure, and strengthen local government. This thesis investigates why this transition has taken so long. Based on 21 interviews with government officials, international NGO staff, and local NGO managers in these three governorates, the study develops a new way of understanding the problem. It introduces three ideas: the 'emergency mentality', which is a …

Mapping The Neuroexposome: Integrative Analysis Of Dementia Risk Factors Through Multi-Omics And Environmental Profiling In The Egyptian Population., Mai Ahmed Saadzaghloul Othman

Theses and Dissertations

Background: Dementia represents one of the most pressing public health challenges of the twenty-first century, with the global burden projected to reach 153 million cases by 2050. Egypt, as the most populous Arab nation, faces a corresponding rise in age-related diseases, yet comprehensive data from low- and middle-income countries remain severely limited. The neuroexposome framework, integrating genetic susceptibility, environmental exposures, and metabolic alterations, offers a powerful strategy to characterize the complex interplay between internal and external risk factors for Alzheimer's disease (AD) and Alzheimer's disease Related Dementias (ADRD).

Objectives: This thesis aimed to: (1) examine the distribution of APOE alleles …

An Integrated Sensor-Fusion Framework For Performance-Based Compensation In Construction, Aly Ayman El-Ashry

Theses and Dissertations

Construction productivity has historically stagnated due to a reliance on subjective labor monitoring and “lagging” performance indicators. This research proposes a novel compensation model with the use of Total Energy Management System (TEMS) to translate labor effort and efficiency into payment incentives with the integration of Internet of Things (IoT) wearables and Statistical Process Control (SPC) charts.

This research addresses the systemic problem of declining construction productivity caused by industry’s inability to objectively quantify human effort. While traditional models rely on post-facto production tallies, a significant research gap exists in real-time physiological labor monitoring. To bridge this, the proposed TEMS …

Developing Custom High Resolution 3d Printers For Microfluidic Device Fabrication, Dallin Scott Miner

Theses and Dissertations

The advancement of microfluidics in biomedical diagnostics and lab-on-a-chip systems is increasingly dependent on the ability to fabricate complex, three-dimensional architectures with high-resolution negative features. While Digital Light Processing Stereolithography (DLP-SLA) has emerged as a leading fabrication method, it remains constrained by a fundamental trade-off between feature resolution and build volume, as well as challenges regarding fabrication consistency and design accessibility. This dissertation presents an integrated ecosystem of hardware, materials, and software designed to overcome these barriers and enable scalable, high-resolution microfluidic fabrication. We first introduce a novel multi-resolution 3D printing technique utilizing a dual-optical engine architecture, comprising a Very …

Evaluating C-Band Scatterometer Images For Estimating Deforestation In The Amazon Rainforest, Alex Mcbride

Theses and Dissertations

Satellite-based active microwave sensors have been successfully employed for a wide range of vegetation and soil studies. Spaceborne microwave instruments have proven particularly useful for wide-scale monitoring of the vegetation, especially under conditions that limit the effectiveness of high-resolution optical sensors. Satellite scatterometry can be used to detect and model deforestation in the Amazon rainforest by correlating changes in the C-band backscatter data to observed changes in vegetation coverage. The exploratory methodology developed in this paper applies the longest continuous microwave satellite record to the problem of deforestation. The backscatter measurements taken by the ERS and ASCAT missions provide more …

A Peer Evaluation Of Safety At Signalized Intersections, Auzton Mitchell Stutts

Theses and Dissertations

The Utah Department of Transportation (UDOT) has made significant efforts to reduce crashes at signalized intersections and is constantly seeking to improve safety across the state. The purpose of this research is to quantify and evaluate the safety rates and frequencies at signalized intersections in Utah compared to other states. Once the crashes have been quantified, the secondary purpose is to determine why there may or may not be differences. A survey was developed to understand how states analyze, prioritize, and implement safety at signalized intersections, including different policies, procedures, and countermeasures. Crash data from eight states were analyzed and …

The Impact Of Using Microencapsulated Phase Change Materials In Asphalt Binder And Mixtures, Ayyaz Fareed

Theses and Dissertations

Asphalt concrete is a widely used paving material for roadway construction; however, pavement distresses such as thermal cracking (non-load associated), fatigue cracking (load-associated), and rutting (permanent deformation) continue to challenge the performance and longevity of flexible pavements. These issues diminish ride quality, reduce service life, and contribute to increased maintenance needs. Several modifiers, including polymers and fibers, have been used to mitigate pavement deterioration, yet improving the thermal response of asphalt mixtures remains a significant concern, particularly in climates with substantial temperature fluctuations. Microencapsulated Phase Change Materials (MPCMs) have recently emerged as a promising solution due to their ability to …

Design Of Precise Hinges For Optical Space Arrays, Jacob Sutton

Theses and Dissertations

Deployable origami-based arrays offer significant advantages for space optical systems due to their ability to stow compactly and deploy to a large surface area. However, achieving the panel alignment precision required for optical applications remains an open challenge, particularly for non-rigid-foldable patterns such as the flasher, where large relative motion during deployment and geometric constraints at panel interfaces limit the effectiveness of traditional hinge designs. This thesis addresses the precision alignment challenge through the design, prototyping, and experimental testing of novel passive precision hinges for rigid-panel origami-based deployable space arrays. A compact kinematic coupling hinge incorporating Lamina Emergent Torsional (LET) …

Development Of A Low-Cost Roadside Monitoring System For Identifying High-Emitting Heavy-Duty Trucks, Spencer Larson

Theses and Dissertations

This project investigated the feasibility of using low-cost sensors to identify high-emitting heavy-duty diesel trucks through roadside emissions monitoring. A sampling system was designed and tested in both laboratory and field environments to evaluate sensor performance and measurement reliability. In the laboratory, controlled engine testing enabled direct comparison between low-cost sensors and research-grade instruments to establish baseline accuracy, response time, and sources of uncertainty. These tests demonstrated that while low-cost sensors exhibit greater bias and slower response, several are capable of detecting transient emission events. Field deployments revealed that real-world conditions, such as plume dilution, spatial variability, and short exposure …

Discovery Of Bmi-Associated Gut Microbiome Signatures In The Awi-Gen 2 Cohort, Meriem Yagoubi

Theses and Dissertations

Obesity is increasing across sub-Saharan Africa amid rapid dietary, environmental, and urbanization transitions, yet the gut microbiome features associated with adiposity in African populations remain under-characterized. This study investigated whether species-level gut microbiome composition is associated with body mass index (BMI) in the AWI-Gen 2 cohort, and whether BMI-associated microbial signals remain detectable after accounting for the dominant geographic structure of the microbiome. Gut microbiome community structure and diversity were characterized across 1,665 participants, and differential abundance analysis was used to identify taxa associated with BMI after controlling for study site. Machine learning models were then trained to assess how …

Modeling The Spread Of Competing Narratives In Multimodal Social Media Network, Mayor Inna Gurung

Theses and Dissertations

Social media has fundamentally transformed how narratives are produced, contested, and disseminated, enabling competing interpretations of the same event to spread rapidly across networked populations. Understanding how narratives gain traction over others in these environments is critical for addressing misinformation, supporting informed public discourse, and designing effective counter-messaging strategies. Yet existing research largely treats narrative propagation as a single-process phenomenon and focuses predominantly on textual data, overlooking both the competitive dynamics between opposing narratives and the growing role of visual symbolic communication in shaping how narratives are received. This dissertation addresses these gaps through a multi-platform, multimodal framework applied to …

Scientific Crosstalk: Natural Language Processing, Praveshika Bhandari

Theses and Dissertations

While sentiment analysis has made significant strides in domains such as social media and personal correspondence, its application to formal scientific writings remains under-explored. The crosstalk between emotional expressions in personal and professional communications has also received limited attention despite its potential to reveal insights into the emotional drivers of scientific creativity. Our research introduces a computational framework designed to detect and quantify emotional expressions across various documents over time. Leveraging state-of-the-art transformer models fine-tuned on domain-specific corpora, the framework models emotional tone distribution. Integrating emotion analysis with knowledge graph modeling enables the exploration of emotional trends alongside key scientific …

Design And Optimization Of A Bluff Body For Energy Harvesting Of Transverse Galloping Induced By Low-Speed Wind Using Bernstein Polynomial Equations, Youssef Wael Abdelmoneim

Theses and Dissertations

In this thesis, a computational framework is proposed for optimizing the aerodynamic shape of bluff bodies used in galloping-based wind energy harvesters. The system targets low-wind speed environments, where normal wind turbines are not effective, offering a potential alternative to batteries used for powering small electronic devices such as wireless sensors. The design relies on the galloping effect, where airflow around a bluff body induces transverse oscillations that drive an energy conversion mechanism. To generate efficient bluff body geometry, the Class-Shape Transformation (CST) method is used to define a wide range of candidate shapes with minimal design parameters. These shapes …

Spatiospectral Lobes And Radiation Modeling Of Partially Coherent Supersonic Jet Noise, Tyce Wayne Olaveson

Theses and Dissertations

Noise fields generated by high-performance military jets are known to contain acoustic structures that differ from their simulated and lab-scale counterparts. These differences may limit current noise control efforts, which are designed and tested at scale before being considered for full-scale aircraft. One such noise structure is the presence of spatiospectral lobes, which appear as multiple spectral peaks at single microphone locations and multiple radiation lobes in field reconstructions. This dissertation uses data collected from the T-7A jet noise measurement to characterize the spatial behavior of the spatiospectral lobes as well as their first time-domain description. A multiple wavepacket decomposition …

From Institutions To Families: Assessing The Progress Of Egypt’S National Strategy For Alternative Child Care Reform, Yasmine M. El Hagry

Theses and Dissertations

This study serves as a critical mid-term review of the Egyptian National Strategy for Alternative Care for Children and Youth without Parental Care (NACS) (2021-2030). The 10-year strategy overall goal is to shift from institutional care, such as orphanages, to family-based care, such as kafala, the Islamic alternative to legal adoption, for children deprived of parental care. While the global literature strongly advocates deinstitutionalization, empirical research on the operational risks and unintended harms that can arise during such complex transformations remains scarce.

Adapting the International Civil Service Effectiveness (InCiSE) Framework, this research uses a qualitative approach to diagnose the …

Investigation Of Environmental Influences On Multiple Sclerosis: A Study For Egypt’S Health, Noha Ezzaldin Alziny Ali

Theses and Dissertations

Background: Multiple sclerosis (MS) is a complex, chronic neuroinflammatory disease influenced by both genetic and environmental factors. While global research has identified potential environmental influences, most evidence comes from Western populations, creating a significant knowledge gap for regions like Egypt, which has witnessed a dramatic rise in MS prevalence over recent decades. This study hypothesized that Egyptian MS patients exhibit a distinct biological signature in their blood, characterized by an imbalance in essential and toxic trace elements (the metallome) and alterations in stress-response biomarkers associated with neuroaxonal injury and cellular stress. Objective: This study aimed to comprehensively profile and compare …

The Disconnect In Female Labour Force Participation Policy In Egypt: Design And Implementation Gaps, Miral Mohamed Omran

Theses and Dissertations

This study investigates the disconnect between Egypt's ambitious female labor force participation (FLFP) policy goals in the National Strategy for the Empowerment of Egyptian Women 2030 and the declining indicators since its launch. Applying Van Meter and Van Horn's implementation framework, it analyzes the full policy process using qualitative interviews across government, civil society, and private sector actors involved in the national policy’s design and execution. Findings reveal structural failures, resource shortages, coordination gaps, leadership turnover, and donor-driven fragmentation, intensified by cultural norms and frontline resistance. Recommendations prioritize short-term administrative tweaks leveraging public sector downsizing for harmonization and rethinking the …

Traveling Wave Fronts For Sir Epidemic Models With Nonlocal Dispersal And Delayed Effects, Ashley Evette Embry

Theses and Dissertations

This dissertation investigates traveling wave solutions for two classes of delayed nonlocal dispersal susceptible--infected--recovered (SIR) epidemic models incorporating biologically realistic mechanisms such as delayed infectivity, delayed dispersal, nonlocal transmission, demographic turnover, and nonlinear incidence effects. These models extend classical spatial epidemic frameworks by allowing long-range population movement through nonlocal dispersal operators and incorporating temporal memory into both diffusion and transmission processes. The primary objective is to establish the existence of traveling wave solutions connecting disease-free equilibria to endemic states and to characterize threshold conditions governing epidemic propagation. The simultaneous presence of nonlocal dispersal, multiple delays, and non-monotone nonlinear incidence terms …

From Theory To Practice: Investigating Process Safety Skills Acquisition And Bridging The Industry Readiness Gap, Brittany Butler-Morton

Theses and Dissertations

Process safety management is vital to companies operating highly hazardous materials or processes, and it is of interest to the engineering community as poor process safety judgments can have catastrophic results. Process safety judgments consider more than the prioritization of safety, as they are often influenced by elements like production, spending, reputation, and time. As such, it’s important to prepare engineering students nearing graduation for the complexity of these judgments and narrow the Theory-to-Practice gap for students entering industry. This work sought to identify 1) how the Theory-to-Practice gap is manifesting in process safety judgments, and 2) how the application …

Environmental And Pharmacological Modulation Of Opioid-Mediated Behavioral Effects In Rats, Corinne Ann Gallagher

Theses and Dissertations

Opioid Use Disorder (OUD) and opioid-associated overdoses continue to pose significant burden to US healthcare systems—both financially and in lives lost. It is imperative to identify risk factors which may predispose vulnerability to OUD development, which could aid in discovery of new therapeutic strategies for susceptible populations. This dissertation investigated the impacts of two such risk factors which modulate opioid-induced reward and behavioral effects: adolescent stress and the adulteration of illicit opioids by xylazine. In Chapter 2, we examined the effects of acute adolescent stress on oxycodone self-administration in rats, and the potential involvement of the locus coeruleus in these …

Vigor: Virtual Intelligence For Gaze Observation And Representation, Meherun Nesa Shraboni

Theses and Dissertations

Eye tracking in modern XR head-mounted displays can capture high-frequency gaze data at 90–120 Hz, generating thousands of samples within a single 30-second interaction. At the same time, the XR market has grown to millions of active users worldwide, with major platforms such as Meta investing heavily in eye-tracking-enabled devices. Despite this large-scale adoption and data availability, most applications still rely on hand-controller input, with gaze either processed offline or reduced to a simple pointing signal. As a result, the majority of temporally rich gaze information remains unused in real-time interaction, limiting system responsiveness, reducing interaction fidelity, and preventing effective …

Injectable, In Situ Forming Peptide Nanofiber Reinforced Composite Hydrogels For Age-Related Macular Degeneration, Shambhavi Bagewadi Ms

Theses and Dissertations

Cell therapy for age-related macular degeneration (AMD) is limited by the absence of a functional substrate such as Bruch’s membrane (BM), which is critical for retinal pigment epithelial (RPE) cell survival and integration. Although preformed substrates have been explored, their implantation can disrupt the fragile retinal architecture, compromise ocular immune privilege and increase infection risk. To address these limitations, an injectable hydrogel capable of forming in situ was developed. The hydrogel consists of thiol-modified hyaluronic acid (HA-SH) and polyvinyl alcohol (PVA). Peptide nanofibers were incorporated to enhance structural reinforcement. Three self-assembling peptides - RADA-16, GAGA and GAGA-YIGSR were designed and …

The Reliability Of Yolo Object Detection On The Amd Versal In A Proton Radiation Environment, Jacob D. Brown

Theses and Dissertations

Object detection is an important operation for satellites to be able to perform, and in outer-space missions it is crucial that machine learning models perform inference on satellite images accurately and reliably. Where size, weight, power, and other constraints exist, meeting this goal for accurate and reliable object detection is challenging. Additionally, soft errors caused by radiation further disrupt and degrade the operation of object detection in satellites. This thesis studies the performance of a deep learning model on an embedded device, the AMD Versal, in the presence of soft errors. The well-known and high-performing YOLO convolutional neural network was …