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Indicators Of Fontan Circulatory Failure In Pediatric Patients: A Scoping Review Of Early Clinical And Hemodynamic Factors, Marina Mcmahon

Student Works

Structured Summary

a. Background/Introduction:

For patients with single ventricle congenital heart disease, the Fontan procedure is the definitive palliative procedure. Although advancements have been made in the surgical technique and management, the Fontan circulation is inefficient and prone to progressive dysfunction. Elevated central venous pressure, non-pulsatile pulmonary blood flow, and reduced cardiac output can lead to many complications, and eventual failure. These conditions can lead to protein losing enteropathy, plastic bronchitis, and hepatic fibrosis which often indicate advanced decline. Though a known problem, there is a lack of standardized criteria to guide optimal intervention timing of Fontan revision prior to …

Dynamic Control Of Active Optical Structures Using Fea-Derived State-Space Models, Damian Suarez

Theses

Active optical systems commonly use influence coefficient methods to map actuator commands to surface deformation, but these static models only describe steady-state behavior and do not capture transient or frequency-dependent structural dynamics. This work develops a finite element analysis (FEA)-derived state-space framework for active optical control by reducing an ANSYS deformable mirror model into modal coordinates and mapping structural deformation into optical Zernike space. The framework is used to compare three control strategies: static feedforward inversion, LQI feedback tracking, and a combined LQR–feedforward controller under steady-state and time-varying Zernike setpoints. The results show that feedforward control provides rapid static correction, …

Inhibition Of Epac1 Prevents Neuronal Death Mediated By Diesel Exhaust Particles In Ferroptotic Cell Death Conditions, Hong Yan, Leshan Zhang, Ana L Manzano-Covarrubias, Phoeja S Gadjdjoe, Anja Land, Christina H J T M Van Der Veen, Teresa Mitchell-Garcia, Heba A Fayyaz, Marco Venema, Christoffer Åberg, Marieke Van Der Hart, Frank Lezoualc'h, Xiaodong Cheng, Amalia M Dolga, Martina Schmidt

The Brown Foundation: Institute of Molecular Medicine

Air pollution is a growing hazard to global health. Epidemiological studies have reported a potential role of air pollutant exposure in the development or aggravation of neurodegenerative diseases. However, the underlying mechanisms are ill-defined. Ferroptosis is an iron- and reactive oxygen species (ROS)-dependent form of cell death that drives neuronal loss in neurodegenerative diseases. Our previous studies reported the involvement of adenosine 3',5'-cyclic monophosphate (cAMP) and EPAC (exchange protein directly activated by cAMP) in ferroptotic cell death. Here, we investigated the effects of diesel exhaust particles (DEP) in mouse hippocampal (HT22) neuronal cells. Our data showed that toxicity induced by …

Uc Transcript 2026-04-29, Northern Illinois University

University Council Archives

No abstract provided.

Unleashing Stress: The Effects Of Training, Bond Strength, And Stress On Pet Dog Behaviors And Health, London Maria Wolff

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Humans and dogs have formed a unique ability to communicate with each other through evolutionary and developmental mechanisms. This increased communication serves to form dynamic interspecies bonds by facilitating learning and training over the lifetime of a dog. However, it is not known what factors permit the unique capacity of dogs to form bonds with, and learn from, their human companions. Odor is a notable candidate for interspecies communication about emotional states, with studies showing that both dogs and humans use odor information to detect human emotions (Calvi et al., 2020). Possibly, this may include detection of both acute and …

Problems With Small Drinking Water Systems In Developing And Developed Countries: How Do They Compare?, Kurt Kesteloot

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This dissertation compares the factors that drive the long-term functionality of small drinking water systems (serving fewer than 10,000 people) in developing and developed country contexts, with a focus on groundwater supplies. Using regression analysis in SAS and complementary fuzzy-set Qualitative Comparative Analysis (fsQCA) for developing countries, the study integrates two datasets: 23 Engineers Without Borders project surveys (90+ variables across 14 countries) and a multi-year National Park Service inspection dataset (approximately 1,561 systems; 7,460 recorded deficiencies, enriched with U.S. Census ZIP-code aggregates). In developing countries, statistically significant predictors of success include government cash contributions (odds ratio [OR] ≈ 67.6), …

Optimization Of A Point Absorber Wave Energy Converter (Wec), Rutwa Dilipkumar Nagar

Electronic Theses and Dissertations 2020 - Present

This study examines the performance and optimization of a point absorber wave energy converter with a partially submerged spherical float. A comprehensive open-source computational framework integrates frequency-domain hydrodynamic analysis with time-domain simulation using Capytaine, BEMIO, and WEC-Sim. Hydrodynamic coefficients such as added mass, radiation damping, and excitation forces are calculated and integrated into the governing equation of motion using the Cummins formulation. A parametric analysis varies the float diameter and geometric configurations across several cases. Hydrodynamic coefficients and response amplitude operators are assessed to analyze system behavior and resonance characteristics. Results indicate consistent trends in normalized added mass, with radiation …

The Right Time For A Synapse To Change: Windows And Mechanisms Of Multiday Training Trials, Rong-Yu Liu, Yili Zhang, Roberta Calvo, Paul Smolen, John H Byrne

Faculty, Staff and Student Publications

Although learning over multiple days is more effective than a single day of training, the underlying cellular mechanisms of repeated training trials remain poorly understood. With a combination of empirical and computational approaches, we determined a critical time window for a second stimulus block of a multiday training protocol to augment long-term synaptic facilitation (LTF) of the Aplysia sensorimotor synapse and long-term enhancement of neuronal excitability (LTEE), two cellular correlates of learning and memory. A second stimulus block delivered 24 h after the first block significantly enhanced LTF and LTEE, but was without effect at 18 or 32 h. This …

Cmsi Translations #30: Vision For Future Next-Generation Aircraft Carrier Supply Ships, Yin He

CMSI Translations

Given the substantial increase in sustainment requirements for the PLA Navy’s next-generation aircraft carriers, and acknowledging the limitations inherent in the Type 901 replenishment ship due to the technological constraints of its design era, the next-generation (新型) carrier replenishment vessel is expected to undergo significant modifications compared to its predecessor in several key areas

Fostering Innovative Leadership: A Case Study Of Academic Leaders’ Role In Integrating Ai Technologies In Higher Education, Dorian Ryleigh Harris

Doctoral Dissertations and Projects

The purpose of this case study was to understand the role of higher education leadership in the integration of artificial intelligence (AI) technologies for faculty and administrative decision-making at higher education institutions in the United States of America. The theory guiding this study was the transformational leadership theory as it provides a framework for examining how institutional leaders influence the adoption, implementation, and ethical considerations of AI in higher education. The central research question guiding this study was: How do higher education leaders navigate the integration of AI technologies within their institutions? This study employed a qualitative case study design, …

A Phenomenological Study On Korean Christian Immigrants’ Searching For Wholeness, Hyunjin Kim

Doctoral Dissertations and Projects

Wholeness is a way of living that integrates life’s paradoxes into a cohesive whole, and biblically it is living in harmony with God, others, and oneself. While both scientific and biblical perspectives affirm spirituality and virtues as central to wholeness, existing empirical models often fall short of capturing its full scope within Christian and cultural contexts. This qualitative phenomenological study aimed to gain deeper insights into the common essence of Christian wholeness by exploring the lived experiences of wholeness among Korean Christians living in the United States of America. Twelve participants engaged in in-depth interviews and focus groups, and data …

Evaluating Inner-Tainment With A Ghetto Perspective For Positive Thought Adjustment In Ghetto Communities, Shontae L. Graham

Doctoral Dissertations and Projects

Environmental challenges and disadvantages impact cognitive scripts and develop persistent frustration. Frustration is both mental and physical and can be negative or positive. It evokes emotion, which is prompted by memory and its associated level of importance. The integration of emotion, memory, and imagination can set the stage and create an act to transition negative frustration and align past experiences with new perspectives. This study used a qualitative Interpretive Phenomenological Analysis approach to investigate the use of self-scripted enactment as a self-help technique for positive thought adjustment. The technique is called Inner-tainment and was used to determine if there were …

Causes Of Unreliable Major Defense Acquisition Program(Mdap) Baselines, Alfred Gordon Hutchins Jr.

Doctoral Dissertations and Projects

According to the Government Accountability Office (GAO), approximately equal numbers of Major Defense Acquisition Programs (MDAPs) are successful and unsuccessful when measured against Acquisition Program Baselines (APBs) established at the Milestone B decision point. While the systems engineering-based Defense Acquisition System (DAS) assumes that sufficient knowledge is available to support making significant resource commitments at the Milestone B decision point, the substantial incidence of cost and schedule overruns suggests otherwise. This research employs an explanatory mixed-methods design to investigate why DAS processes that develop knowledge to support Milestone decisions do not develop adequate information to support reliable program baselines (knowledge …

A Phenomenological Study On The Experiences Of Educators As Mentors For Homeless And Highly Mobile Students In A Rural Community, Tracy Dawn Mcpheron

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study is to explore how educators perceive an implemented mentoring program in which they will serve as mentors of homeless and highly mobile students in a rural school district. The mentoring program will include educators working as mentors to students coded as homeless through the McKinney-Vento Act for Homeless Education. The educators participating in the mentoring program will be the participants in this study. The participants will include middle school (6th-8th grade) through high school (12th grade), teachers, counselors, librarians, the district’s homeless liaison, and the federal programs coordinator for an East Tennessee school …

Becoming Better Teachers Through Community: A Transcendental Phenomenological Dissertation Exploring The Lived Experiences Of Adjunct Faculty In A Cohort-Based Faculty Learning Community, Gerard Wayne Hall

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to understand how adjuncts’ participation in a cohort-styled faculty learning community designed specifically for them shaped their teaching and connectedness with their institution. The theory that guided this study was situated learning theory, which explained the relationship between participation in learning communities and teaching practice. Additionally, this theory provided a foundation for understanding how the social dynamics of a learning community affected connectedness. The central research question examined in this study was, ‘What are adjunct faculty’s experiences participating in a cohort-based faculty learning community?’ To explore this topic and question, a transcendental …

Mental Health And Well-Being Of Hispanic Pastors In Central Florida: A Phenomenological Study, Darice M. Santos

Doctoral Dissertations and Projects

The topic of pastors' psychological well-being and health has been studied in a variety of approaches. The forthcoming research concentrated on the effects that the responsibilities and pressures of working at Hispanic churches have on Hispanic pastors in Florida. Given the difficulties they face, such as prejudice, discrimination, and a low standard of living, this population required further study. This study explored the pastor's role and involvement level and how it connects to social support and burnout. This qualitative study provided insight on how Hispanic pastors in central Florida handled their mental health and perceived their job as pastors. A …

Study Of Complex Biological Systems Through Ai-Empowered Metabolomic Analysis And Modeling, Runyu Zhao

McKelvey School of Engineering Graduate Student Theses & Dissertations

This dissertation establishes an integrated framework that leverages artificial intelligence (AI) and advanced metabolomics to overcome the "complexity bottleneck" in microbial engineering, specifically addressing the global crises of plastic waste and carbon emissions. By framing the research within the complex biosystems for effective bioproduction and bioremediation, this work develops novel strategies to engineer and analyze biological systems for a circular bioeconomy. In the "Build" phase (Chapter 2), the study addresses the instability of synthetic microbial consortia. By utilizing calcium-alginate hydrogel compartmentalization, the research successfully decouples the growth of the phototroph Synechococcus elongatus from its heterotrophic partners (P. putida and Y. …

Bearing The Burden: The Emotional And Psychological Impact Of Racial Stress On Black Women In Missouri, Ivy Smith

McKelvey School of Engineering Graduate Student Theses & Dissertations

This dissertation examines the emotional and psychological impact of racial stress on Black women in Missouri using a multi-method, longitudinal approach grounded in Racial Trauma Theory. Racial stress is conceptualized as a multidimensional construct that includes racial trauma, racial violence exposure through social media, and racial discrimination distress. This study addresses gaps in the literature by examining the prevalence of mental health outcomes, emotional responses to these experiences, and the role of racial stressors over time. Using three waves of data, this study assesses the proportion of participants meeting clinical cutoff scores for depression and anxiety using the Multiple Affect …

Building Human-Aware Ai: Learning From And Assisting Human Decision-Makers, Saumik Narayanan

McKelvey School of Engineering Graduate Student Theses & Dissertations

As artificial intelligence systems become more capable, they are increasingly used not only as standalone problem-solvers, but as systems that learn from and interact with humans. In these settings, success depends not only on the strength of the model in isolation, but also on how well it fits the humans it is trained on or deployed alongside. This dissertation argues that human heterogeneity is a central ingredient in the design of effective human-aware machine learning systems. Rather than treating differences between people as noise to be averaged away, I show that variation in human expertise and preferences can provide useful …

Lateral Habenula And Dorsal Raphe Neurons Signal Value Computations In Multi-Attribute Decision-Making, Yang-Yang Feng

McKelvey School of Engineering Graduate Student Theses & Dissertations

Decision-making is a fundamental part of adaptive behavior and can be compromised in psychiatric illness. Humans and animals are continuously presented with objects and opportunities as options to decide between. One challenge is that these options may independently vary along multiple dimensions or attributes that we care about. This can include attributes of physical reward, such as amount, delay, or uncertainty. When these attributes are present, the possibility of an abstract, cognitive reward, advance information to resolve uncertainty, may also motivate our decisions. It is unclear how the brain makes these subjective decisions, trading off between these multiple attributes based …

Acquired Von Willebrand Syndrome From Pathological Cardiovascular Flow, Alice Liu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Acquired von Willebrand syndrome (AVWS) is a bleeding disorder characterized by the loss of high molecular weight von Willebrand factor (VWF) multimers. It is often associated with a wide range of underlying diseases, including individuals who receive mechanical circulatory support (MCS) and myeloproliferative neoplasm (MPN) patients, yet the mechanical mechanisms remain incompletely understood. In circulation, VWF undergoes force-dependent conformational changes that regulate its susceptibility to cleavage by the metalloprotease ADAMTS13. While elevated shear has long been believed to the main cause, pathological VWF cleavage cannot always be explained by shear alone, suggesting more factors are at play. The goal of …

Functional And Spatially Specialized Inhibition And Neuromodulation During Learning In The Hippocampus, Gerardo Enrique Molina

McKelvey School of Engineering Graduate Student Theses & Dissertations

The hippocampus relies on a diverse network of regulatory components for memory formation. Neuromodulators and inhibitory interneurons act in concert with excitatory neurons to control learning. Even within one of these components there is a vast diversity of genetic or chemical composition that may come from unique sources at uniquely timed intervals or events. The goal of this dissertation is to identify specific functional-behavioral attributes of two such examples: parvalbumin (PV)-expressing interneurons and the neuromodulator dopamine, in hippocampal CA1. In separate experiments, I used two-photon microscopy of the calcium sensor, GCaMP, which measures neuronal activity, and GRAB-DA, which reports levels …

Assessing Hyperlocal And Local Air Quality Through Passive Samplers And Low-Cost Monitors, Yan He

McKelvey School of Engineering Graduate Student Theses & Dissertations

Air pollution is a major environmental health concern and has been associated with respiratory disease, cardiovascular morbidity, metabolic disorders, premature mortality, and additional adverse health outcomes. Air pollution often exhibits substantial variability at fine spatial scales, yet conventional regulatory monitoring networks are too sparse to resolve neighborhood-level exposure gradients that may exist in many urban and rural communities. Hyperlocal differences in pollutant concentrations—driven by local emission sources, land use characteristics, atmospheric chemistry, and meteorological conditions—can lead to systematic differences in long-term exposure among populations living only short distances apart. Improving exposure characterization therefore requires dense monitoring strategies and spatial modeling …

Smart Kitchen: Towards Real-Time Ai Systems For Cognitive Support In Daily Activities, Ruiqi Wang

McKelvey School of Engineering Graduate Student Theses & Dissertations

The rapid growth of the aging population and the rising prevalence of Subjective Cognitive Decline (SCD) highlight the need for continuous, unobtrusive assessment of functional cognition during everyday activities. Vision-based smart home systems offer a promising pathway for monitoring behavior and supporting independent living. However, enabling real-time cognitive assistance remains challenging. It requires not only accurately interpreting complex human behaviors to detect cognitive errors, but also supporting real-time deployment on resource-constrained edge devices and under dynamic wireless network conditions. This dissertation presents Smart Kitchen, an AI-driven system for real-time cognitive error detection through the monitoring of daily cooking activities. Under …

Individualized Models For Perception And Cognition, Dominic Marticorena

McKelvey School of Engineering Graduate Student Theses & Dissertations

This dissertation develops individualized models of perceptual and cognitive behavior, inferring latent capacities from limited data with sufficient efficiency, precision, and generality for person-level prediction. In perception, a nonparametric Bayesian framework for adaptive psychophysics is extended from audition to vision, producing an estimator that recovers dense individualized contrast sensitivity profiles through variational inference, a generalized kernel, and information-guided stimulus selection. A multitask extension enables simultaneous estimation of multiple psychometric fields by exploiting shared latent structure. Transferring this inferential logic to cognition, where relevant dimensions must be supplied by task design rather than physics, requires new measurement infrastructure. A Minecraft-based platform …

Revisiting Visualization Literacy: What Standardized Assessments Reveal And Conceal Across Instruments, Cultures, And Ai Systems, Saugat Pandey

McKelvey School of Engineering Graduate Student Theses & Dissertations

Data visualizations are now a primary medium for public communication, scientific reasoning, and decision-making. By transforming complex data into accessible graphical forms, visualizations are widely assumed to make information comprehensible to broad audiences. Yet the ability to accurately read, interpret, and critically evaluate a visualization, what researchers call visualization literacy, is neither uniform nor universal. It is a learned, multidimensional skill shaped by prior exposure, educational opportunity, and context. While the field has developed standardized instruments to measure visualization literacy, these tools were built under narrow assumptions: participants are typically paid, English-speaking, and recruited from Western online panels. When any …

Deep Learning Enhanced Multimodal Endoscopy For Colorectal Cancer: From Real-Time Software Architecture To Clinical Response Assessment, Haolin Nie

McKelvey School of Engineering Graduate Student Theses & Dissertations

Colorectal cancer (CRC) is the third most commonly diagnosed cancer and the second leading cause of cancer-related deaths in the United States, with a concerning rise in incidence among younger adults. Clinical management is currently shifting toward organ-preserving ``watch-and-wait" strategies for rectal cancer and precision endoscopic resection for early-stage polyps. However, current diagnostic standards, including white-light colonoscopy (WLC) and magnetic resonance imaging (MRI), lack the resolution and functional specificity to accurately assess the invasion depth of precancerous polyps or to reliably distinguish post-treatment fibrosis from residual viable tumor. This dissertation advances colorectal cancer diagnostics through three integrated contributions: CPU-optimized photoacoustic …

Benefits Of Traffic Reprofiling For Delay Sensitive Networking, Jiaming Qiu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Deterministic networking systems, such as Time-Sensitive Networking (TSN) and Deterministic Networking (DetNet), require strict end-to-end delay guarantees while efficiently utilizing limited network resources. Conventional approaches typically focus on fixed traffic profiles, which can lead to suboptimal resource utilization in scheduling or admission control problems. This dissertation investigates traffic reprofiling—the proactive reshaping of traffic arrival patterns—as a complementary mechanism for improving both resource efficiency and delay performance under strict service guarantees. The dissertation consists of three parts. The first part studies bandwidth minimization under hard delay constraints for Service Curve Earliest Deadline First (SCED) schedulers. We show that traffic reprofiling can …

Inference-Time Scaling For Robust And Adaptive Computational Imaging, Yuyang Hu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Computational imaging has transformed fields such as medical imaging, computational photography, and remote sensing by combining physical measurement models with advanced image reconstruction algorithms. Two major paradigms have driven significant progress: model-based deep learning (MBDL), which integrates learned priors with physics-based data consistency, and generative models, especially diffusion models, which capture complex image distributions and enable posterior sampling for uncertainty quantification. Despite their success, most existing methods still operate under static inference: they rely on fixed pretrained priors, predetermined sampling procedures, and a fixed forward model during reconstruction. This rigidity limits their robustness in the presence of distribution shift, complex …

Designing Break-Glass Access The Preserves Accountability, Hattin Gram Berryman

Honors Capstone Projects and Theses

No abstract provided.