Digital Commons Network^™

Analysis Of Head Resultant Linear Acceleration Transformation To Head Center Of Gravity For Ear-Based Sensor Application, Jonathan Wilder

Master's Theses (2009 -)

A wearable ear-based system, incorporating hearing protection, communications capabilities, and a head impact sensor, has been developed for military use. Enhancing computational efficiency is a pivotal goal for system sustainability. The first and second aims of this research were to assess tradeoffs in accuracy for two potential on-board computational processes: 1) rigid body transformations and 2) adjusting transformation dimensions for different head sizes. The third aim of this research study was to validate the performance of the system in the laboratory. For the first aim, ear-measured and transformed ear-to-head CG accelerations were compared to head CG-measured accelerations. For the second …

Investigating The Impacts Of Bin Variability On Particle Size Distributions In Multiphase Eulerian-Eulerian Simulations, Wilbert Alexander Cruz

Master's Theses (2009 -)

In this study, a 3D steady-state Eulerian-Eulerian simulation was developed to investigate flow performance in a dilute pneumatic conveying system. The investigation focused on two main objectives: (1) assessing the influence of bin selection on solution accuracy for representing the polydisperse mixture, and (2) exploring methods to simplify the modeling of polydisperse particles in the simulation by utilizing a mean diameter derived from the mixture’s particle size distribution. The system's geometry and initial boundary conditions featured a 10.6 m long, 150 mm diameter horizontal pipe with both gaseous and solid phases initially moving at 27 m/s . The steady-state simulation …

Exploring Cation Exchange: Unveiling Its Significance In Biochar And Bioenergetics Applications, Gyanendra Kharel

Chemistry & Biochemistry Theses & Dissertations

Cation exchange, a cornerstone of soil chemistry and nutrient cycling, is a fundamental chemical process that occurs in soils, sediments, membranes, and other solid materials. It involves the interchange of positively charged ions, or cations, between a solid matrix and a surrounding solution. This process is crucial in various natural and engineered systems, leading to a range of applications across different fields.

This dissertation presents an extensive investigation into the applications of cation exchange in the fields of biochar and bioenergetics, encompassing three distinct aims. The first aim concentrates on the surface oxygenation of biochar through ozonization, aiming to achieve …

Reliability Of Popliteal Artery Flow-Mediated Dilation In The Seated Position, Taskina Akhter

Rehabilitation Sciences Theses & Dissertations

Flow-mediated dilation (FMD) is a noninvasive measurement of endothelial function, which is a useful prognostic tool for cardiovascular disease risk. Despite its widespread use since 1992, the reproducibility of FMD varies widely between studies. This variability in reproducibility is especially significant in the case of the popliteal artery due to different methodological approaches. Studies perform popliteal FMD in various body positions, with the prone and seated positions most common. However, no studies have examined the reproducibility of both the seated and prone positions of the popliteal artery FMD. Therefore, the aim of this study is to examine the test-retest and …

A Case Study On Teacher Perceptions Of The Wisconsin State Educator Effectiveness Requirement: Mandates And Results, Daniel Unertl

Dissertations (1934 -)

Teachers are the essential element in improving student learning in education. The State of Wisconsin requires public school teachers to participate in the Wisconsin Educator Effectiveness System. There is limited research on the links between required participation with the State of Wisconsin’s Educator Effectiveness System and on the experience of teachers and their outcomes for students (Dvorak et al., 2014; Jones, 2017). This qualitative case study explored, through semi-structured interviews, the experiences of Wisconsin educators who engaged with the EE System, teachers’ connections with EE and subsequent changes to their practice. The study addressed whether teachers’ felt the technical elements …

Interprofessional Community Schools, Shauna Curran, Morgan Bassett, Belle Betit, Kelly Couch, Allie Hegarty, Katelynn Leblanc

CAIEP Spring Showcase 2024

This presentation details the key components of community schools and their importance to community members and students alike. Comprised of four primary pillars, these schools focus on expanding learning opportunities, bringing in a variety of student supports, serving families collectively, while emphasizing the collaborative element of leadership. Community schools serve as an integration point of various elements of a community to come together in order to produce maximum benefits for all.

3/5ths Of Freedom: The Analysis Of {With} Black Individuals In Higher Education And Navigating Society Post-Justice-Involvement, Gabrielle Sarah Smith Finnie

Educational Leadership & Workforce Development Theses & Dissertations

Black individuals have been disproportionately involved in the criminal justice system in the United States (Federal Bureau of Prisons, 2022). Because of their criminal justice involvement, Black individuals are perceived as second-class citizens making their quest for “freedom” an endless journey impacted by oppression and domination post-justice-involvement (Couloute & Kopf, 2018; Johnson, 2021; Pager, 2003). To combat domination and oppression, Freire (1970) emphasized pursuing higher education helps individuals who experience marginalization become more humanized and aids them on their plight to freedom. Research highlighted pursuing higher education post-justice-involvement is a liberatory yet challenging experience because of discriminatory on-campus …

Performing Information Extraction For Mission Engineering Applications, Samuel R. Koski

Engineering Management & Systems Engineering Theses & Dissertations

The process of extracting structured data from unstructured and semi-structured text is manual, time consuming and error prone. Current natural language processing approaches for automating this process are difficult to verify for non-trivial and context-sensitive corpora. Large Language Models (LLMs) like ChatGPT have become a subject of considerable interest, opening a promising avenue of exploration. However, there is limited evidence on the performance of LLMs for information extraction.

In this dissertation, an approach is proposed to evaluate the accuracy of Stanford OpenIE and OpenAI's ChatGPT for this purpose. This includes comparing Resource Description Framework (RDF) triples extracted by each of …

Effect Of Lunar Magnetic Field And Lunar Regolith Simulant On The Growth And Bioactive Compounds Production Of Chlorella Vulgaris Microalgae, Jeries Philip Butros Abedrabbo

Mechanical & Aerospace Engineering Theses & Dissertations

Since humans last went to the moon on the Apollo missions, there has been a fascination with inhabiting and colonizing other planetary objects, starting with the Earth’s Moon, Mars, and recently Jupiter’s moon, Europa. However, there is still lack of knowledge and science behind many of the extraterrestrial environmental effects on biological organisms living on Earth. Therefore, there is a need to study how such environments would affect these organisms. Moreover, how can we attain sustainable living in such environments as well through self-providing life support systems (LSS), without the need to provide for additional necessities back and forth from …

Creation Of Bound Half-Fermion Pairs By Solitons, Sapan Karki, Brett Altschul

Faculty Publications

In the presence of topologically nontrivial bosonic field configurations, the fermion number operator may take on fractional eigenvalues, because of the existence of zero-energy fermion modes. The simplest examples of this occur in 1+1 dimensions, with zero modes attached to kink-type solitons. In the presence of a kink-antikink pair, the two associated zero modes bifurcate into positive and negative energy levels with energies ±ge^-gΔ, in terms of the Yukawa coupling g≪1 and the distance Δ between the kink and antikink centers. When the kink and antikink are moving, it seems that there could be Landau–Zener-like transitions between these …

Aligning United States Law With International Norms Would Remove Major Barriers To Protection In Gender Claims, Karen B. Musalo Prof.

Faculty Scholarship

The protection of women and girls fleeing gender-based harms has been controversial in the United States (US), with advances followed by setbacks. The US interpretation of particular social group and its nexus analysis, both of which diverge from guidance by the United Nations High Commissioner for Refugees (UNHCR), is the most significant barrier to protection. It has become almost impossible for women and girls to rely upon the particular social group ground because of current requirements that social groups not only be defined by immutable or fundamental characteristics, but also be socially distinct and have particularity. Establishing nexus is also …

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 …

Deep-Learning-Based Image Super-Resolution Of An End-Expandable Optical Fiber Probe For Application In Esophageal Cancer Diagnostics, Xiaohui Zhang, Mimi Tan, Mansour Nabil, Richa Shukla, Shaleen Vasavada, Sharmila Anandasabapathy, Mark A Anastasio, Elena Petrova

Faculty, Staff and Students Publications

SIGNIFICANCE: Endoscopic screening for esophageal cancer (EC) may enable early cancer diagnosis and treatment. While optical microendoscopic technology has shown promise in improving specificity, the limited field of view (

AIM: To improve the efficiency of endoscopic screening, we propose a novel concept of end-expandable endoscopic optical fiber probe for larger field of visualization and for the first time evaluate a deep-learning-based image super-resolution (DL-SR) method to overcome the issue of limited sampling capability.

APPROACH: To demonstrate feasibility of the end-expandable optical fiber probe, DL-SR was applied on simulated low-resolution microendoscopic images to generate super-resolved (SR) ones. Varying the degradation …

A Study On The Use Of Reflective Writing Assessments To Indicate The Level Of Knowledge College Industrial Technology Students Possess Related To The Three Elements Of Technological And Engineering Literacy, William Domenick Euefueno

STEMPS Theses & Dissertations

The problem of the study was to determine if the use of a reflective writing assessment at the beginning, middle, and end of a college semester indicated an industrial technology student’s knowledge and skills related to technological and engineering literacy. Experiences gained during project-based learning activities were used as the basis for this study. This descriptive study examined the reflective writing abilities of junior and senior year college students enrolled in a university’s industrial technology program of study by administering a reflective writing assignment three times over a semester of science, technology, engineering, and math (STEM) course, STEM 320, Manufacturing …

Appalachia In The Anthropocene: An Approach To Understanding Neo Appalachian Narratives As An Affective Ecology, Rachel Michel Bates

English Theses & Dissertations

Appalachia is all too often a commodified and mythologized place in the American consciousness. Yet the lived experience of Appalachia is one complicated by widescale ecological devastation, high poverty rates, and most recently, a devastating opioid crisis. Though much of Appalachian literature continues to dwell in an old vision of Appalachia, an endeavor Zackary Vernon terms post-Appalachian, I argue that a subset of texts published around the turn of the millennium, a time when many of the labor-dependent, exploitative industries such as logging, hydro damming, and coal mining were no longer at work in the region, reveal a shift in …

Spectroscopy Of Atmospheres, Randika Dodangodage

Physics Theses & Dissertations

Spectroscopic methods are used to study planetary and stellar atmospheres. The information obtained from spectroscopic studies provides insight into atmospheric compositions and dynamics, which can be used to model and characterize atmospheres and climates. Laboratory-recorded absorption cross-sections are needed to interpret the recorded spectra of planets and stars. High resolution ethane, neopentane, propene, and n-butane spectra have been recorded, and absorption cross-sections have been provided for different temperatures and total pressures with different broadening gases, including hydrogen, helium, and nitrogen. The Atmospheric Chemistry Experiment (ACE) satellite orbits Earth and records spectra through solar occultation limb observations. HOCl is a chlorine …

Maladaptive Social Media Use Motives, Emotional Well-Being, And Drinking Behaviors Among College Students, Rachel Ayala Guzman

Psychology Theses & Dissertations

Young adult college students are one of the greatest at-risk populations for problematic alcohol-related behaviors (e.g., excessive use). Experiencing greater emotional distress (i.e., depression, anxiety, and stress) has been linked to problematic drinking, and rates of college students struggling with their mental health is higher than other populations. Social media has proliferated in recent years, potentially increasing the risk of experiencing negative emotional effects for avid users like college students. Literature is mixed regarding social media’s impact on emotional well-being and scant studies have investigated how motives of social media use (i.e., why people are using social media) may be …

Trust And Contexts: A Conceptual Framework For Understanding Coastal Household Preparedness, Ogechukwu M. Agim Nwandu-Vincent

School of Public Service Theses & Dissertations

Despite research findings that show the benefits of being prepared for increasingly tumultuous natural and coastal hazard events, studies on hazard preparedness indicate that low levels of preparedness may occur in vulnerable areas due to the uncertainty around hazard risks, expected hazard onset and impact strength, as well as associated effects. Study findings indicate that trust may impact the uncertainty and complexity faced by people dealing with unfamiliar, infrequent, and complex hazards, as well as contexts such as factors such as age, gender, prior hazard experience, and homeownership.

While studies have looked at the relationship between trust and compliance (desired …

Inviting Submission: Isabella Beeton At The Englishwoman's Domestic Magazine, 1856-1865, Julie Megan Sorge Way

English Theses & Dissertations

Isabella Beeton, creator of the iconic domestic manual Beeton’s Book of Household Management, died suddenly in 1865, just before her twenty-ninth birthday. Her popular book survived to codify stereotypical Victorian female ideals. Yet the “Mrs Beeton” mythos camouflages a remarkable talent: far from domestic drudgery, Beeton maintained a vibrant career as a writer and editor at the Englishwoman’s Domestic Magazine (EDM), traveling widely to research the latest fashions and laboring behind the scenes to ensure the magazine’s success. Closely examining Beeton’s EDM work demonstrates how these formative, productive years shaped her later, more popular writing. Such a …

First-Generation College Students And Sense Of Belonging At School: The Moderating Effect Of Remote Learning, Christina Su Ju

Psychology Theses & Dissertations

This study examines the effect of first-generation college student status on students’ sense of belonging, and whether remote learning moderates this effect. Specifically, this study examines whether first-generation college students’ sense of belonging at university differs from their continuing-generation college student counterpart, and whether taking remote courses impacts that relationship. It was hypothesized that first-generation college students would report lower sense of belonging than continuing-generation college students, and that remote learning would moderate the relationship such that the negative effect of first-generation student status on sense of belonging is strengthened when the student takes more remote courses. Survey data from …

Broadband Dielectric Spectroscopic Detection Of Volatile Organic Compounds With Zinc Oxide And Metal-Organic Frameworks As Solid-State Sensor Materials, Papa Kojo Amoah

Electrical & Computer Engineering Theses & Dissertations

The industrial revolution drove technological progress but also increased the release of harmful pollutants, posing significant risks to human health and the environment. Volatile organic compounds (VOCs), which have various anthropogenic and natural sources, are particularly concerning due to their impact on public health, especially in urban areas. Addressing these adverse effects requires comprehensive strategies for mitigation as traditional gas sensing techniques have limitations and there is a need for innovative approaches to VOC detection.

VOCs encompass a diverse group of chemicals with high volatility, emitted from various human activities and natural sources. These compounds play a crucial role in …

Innocence Through An Intersectional Lens: An Examination Of Women And Wrongful Convictions, Briana Paige

Sociology & Criminal Justice Theses & Dissertations

According to The National Registry of Exonerations (2022), nearly 40% of all exonerations involve a no-crime wrongful conviction. While women make up less than 10% of all exonerees, nearly 73% of exonerated women were originally convicted of crimes that never happened, compared to only 38% of exonerated men. Despite their prevalence, the topic of no crime wrongful convictions is extremely understudied in the wrongful conviction literature.

Additionally, since prior research on wrongful convictions has been primarily male centered, the likelihood that a woman’s case will be accepted to be reviewed for innocence is significantly lower than men (Free and Ruesink, …