Digital Commons Network^™

Body Perception Attributes As Reflected On The Holistic Wellness Mirror, Priscilla Njeri Gitimu, Rudolph T. Bedeley, Lucy W. Gichaga, Caroline Kobia Kobia, Andie N. Day, Carmi Bobwealth-Omontese, Shinina Shani

Funded Scholarship

Pressure about body perception impacts well-being, and adopting holistic wellness promotes lasting health. The purpose of this study was to explore how body perceptions relate to holistic wellness by modeling a holistic wellness mirror based on the human triad of the body, mind, and spirit. The survey research method and convenient sampling were used, yielding 317 respondents from college classes and social media platforms. The survey was a combination of body perception scales and questions about holistic wellness: healthy eating, happiness, and religiosity. Analysis of variance results indicate that body appreciation and neutrality are significantly higher for individuals with higher …

Delinking Development: Material And Epistemic Justice And Caribbean Reparations, Tavis D. Jules, Nigel Brissett

Sustainability and Social Justice

In this conceptual paper, we consider novel avenues for development in the Anglophone Caribbean by addressing the historical heritage of chattel slavery, Indigenous dispossession, and extractive capitalism and their pivotal roles in shaping capitalist modernity. Our analysis encompasses the historical configurations of the development paradigm, elucidating the impact of colonial violence, extractive and racial capitalism, and the resulting material and epistemic repercussions. Positioned within the conceptual framework of reparations, we propose restructuring the aid system and asserting the right to epistemic autonomy as two strategic avenues for reshaping the current developmental trajectories of Caribbean societies.

The Potential For Albedo-Induced Climate Mitigation Using No-Till Management In Midwestern U.S. Croplands, Xian Wang, Mallory Barnes, Landon Yoder, Christopher A. Williams, Jennifer Tank, Todd Royer, Shellye Suttles, Kim Novick

Geography

No-till management is often recognized for its environmental and economic benefits, but its potential to reduce climate warming is still uncertain. Beyond ongoing debate over its effects on soil carbon storage, no-till also leaves plant residue on the surface, which can reflect more sunlight. This increase in surface reflectivity, called albedo, may help mitigate climate change by reducing the energy absorbed by the land. Here, we assessed this climate benefit of no-till across the U.S. Corn Belt using conservation survey records, county-level tillage data, and satellite observations. We found that no-till increased land surface brightness during the dormant season, reducing …

Using A Research-Based Approach To Develop An Updated Claim, Evidence, And Reasoning (Cer) Writing Rubric For A High School Science Department, Robin Ashley Thaisen

Graduate Research Papers

All students must be proficient in reading and writing, and science materials present an added layer to these skill areas. Both national and Minnesota state standards require students to show their understanding of science content through certain practices, including constructing evidence-based arguments. A common instructional approach is a claim - evidence - reasoning (CER) framework for writing scientific conclusions. While there are many sources of CER rubrics and guidelines, both commercial and non-commercial, there is a wide range of language or word choice and formatting, among other differences, and none have been tailored to the ninth grade level. By using …

Life Stories Of Garment Workers In India: Toward A Labor-Centric Labor Regimes Framework, Siobhán Mcgrath, Madhumita Dutta

Geography

This article contributes to a recent wave of literature formulating a renewed labor regimes framework as a means to understand the processes, relations, actors, and institutions through which conditions of work are produced under contemporary capitalism. This scholarship (partially) incorporates a feminist lens highlighting the centrality of social reproduction to the construction and persistence of particular labor regimes, and further calls for “labor-centric” analyses to counter a “capital-centric” tendency. We take up this call through analyzing the life stories of three garment workers in India, centering their own perspectives about their labor and motivations for entering and exiting particular labor …

Analysis Of The Menstrual Product Initiative At The University Of Northern Iowa, Catrina Marie Tounjian

Honors Program Theses

Period poverty is defined as the inability to access menstrual products or adequate feminine hygiene due to economic vulnerability. This ultimately can cause social, political, and educational barriers. In the USA, 1 in 5 menstruating students will miss school since they are unable to obtain period products. The relationship between period poverty and educational disparities is not well understood but needs to be addressed to ensure equitable education. The provision of free menstrual products in public restrooms has slowly become more prevalent as a potential interventional approach. At the University of Northern Iowa (UNI) in Cedar Falls, Iowa, there is …

A New Application Of The Coimbra Method On Cranial Entheseal Changes, Emily Marie Carlo

Honors Program Theses

No abstract provided.

The Art Of Accessing Science, Kyle Mark Trunnell

Honors Program Theses

No abstract provided.

Dei Initiatives Through The Eyes Of Young Consumers: Analyzing Gen Z And Gen Alpha Brand Perceptions, Rachel Stephany

Honors Program Theses

No abstract provided.

The Influence Of Mental Skills And Social Support During The Injury Rehabilitation Process, Paige Kisley

Honors Program Theses

No abstract provided.

Who Owns The Dead: The Unequal Access To Repatriation In Us Law, Sydney Blum

Honors Program Theses

No abstract provided.

The Effect Of Mitochondrial Disease On The Eyes And Possible Treatments With An Emphasis On Leber Hereditary Optic Neuropathy, Olivia Chambers

Honors Program Theses

Mitochondrial diseases are a diverse group of genetic disorders that impair cellular energy production, often leading to multisystem complications, including vision loss. This thesis explores how mitochondrial dysfunction impacts ocular health, with an emphasis on Leber Hereditary Optic Neuropathy (LHON), a disorder caused by point mutations in mitochondrial DNA affecting Complex I of the oxidative phosphorylation pathway. Through an extensive literature review, this research examines the mechanisms by which mitochondrial mutations damage retinal ganglion cells and evaluates current and emerging treatment approaches. Pharmacological therapies, such as idebenone and other quinone analogs, demonstrate limited but promising results in stabilizing early-stage vision …

Morphtogo: A Video Classification Model For Predicting Protein Functions From Conformational Morphs, Dylan William Bock

Honors Program Theses

Protein function prediction is a crucial task in bioinformatics, traditionally approached through sequence-based, structure-based, or interaction network models. These models, however, fail to capture transient conformations that occur during large-scale conformational changes. MorphToGO proposes a novel methodology of function prediction with the development of a video classification model to analyze morph animations. The image classification portion of the model utilizes the pretrained EfficientNetV2 model to extract features from animation frames, and the video portion consists of a modified GRU architecture for sequence-to-sequence embedding regression to predict the protein’s functional semantics. A custom bidirectional cosine loss function was developed to handle …

Effect Of Seed Mix Design And Planting Time On Floral Resources, Madison Carleton

Honors Program Theses

The purpose of this study is to evaluate the effectiveness of different management strategies used in Conservation Reserve Program (CRP) prairie restorations. Specifically, this research assesses how well these practices support pollinator communities, which serve as indicators of habitat quality.

Differences In Long Covid Severity By Duration Of Illness, Symptom Evolution, And Vaccination: A Longitudinal Cohort Study From The Inspire Group, Michael Gottlieb, Huihui Yu, Ji Chen, Erica S. Spatz, Nicole L. Gentile, Rachel E. Geyer, Michelle Santangelo, Caitlin Malicki, Kristyn Gatling, Sharon Saydah, Kelli N. O'Laughlin, Kari A. Stephens, Joann G. Elmore, Lauren E. Wisk, Michelle L'Hommedieu, Robert M. Rodriguez, Juan Carlos C. Montoy, Ralph C. Wang, Kristin L. Rising, Efrat Kean, Jonathan W. Dyal, Mandy J. Hill, Arjun K. Venkatesh, Robert A. Weinstein

Department of Emergency Medicine Faculty Papers

Background: Although short-term outcomes of Long COVID have been described, longer-term physical and mental health outcomes of Long COVID are less well-established. This study sought to assess differences in long-term physical and mental health outcomes extending up to three years among those with current, resolved, and no Long COVID, as well as duration of Long COVID and vaccination status. Methods: This was a prospective, multisite, study of participants with SARS-CoV-2 infection from 12/7/2020-8/29/2022, with data collected through 4/2/2024. Surveys included validated tools for physical and mental health. Data were analyzed by Long COVID status (never-had, resolved, current), Long COVID duration …

The Impacts Of A Problem-Based Learning Unit On Computational Thinking Skills In A 7th Grade Lego Robotics Classroom, Madison Beeler

Graduate Research Papers

The primary focus of this study was to determine what impact problem-based learning (PBL) has on developing computational thinking skills, self-efficacy, and earth science understanding in a middle school robotics classroom. Twenty-eight students took part in a 36-day instructional unit based on the 5E Learning Cycle. Students explored Martian geology, analyzing rock data collected by the Perseverance rover mission to make connections between landforms, integrating Earth science with computational thinking tasks. Pre and post-test data assessed growth of computational thinking and self-efficacy. Statistical analysis showed significant growth in student self-efficacy, while gains in computational thinking were not statistically significant. Students …

Do Adhd Symptoms Enhance College Students’ Creativity And Entrepreneurial Self-Efficacy?, Jorge Sebastian Montesinos

Dissertations and Theses @ UNI

Despite years of research focused on impairment, it is possible that attention deficit/hyperactivity disorder (ADHD) may be beneficial in some ways. Past studies have analyzed ADHD’s potential benefits to creativity and entrepreneurship, but the majority have either been underpowered or have had mixed results. In an attempt to add clarity to these potential ADHD-related strengths, the present study explored the relation between symptoms of ADHD, creative achievement, and entrepreneurial self-efficacy (ESE). The current study was a survey of emerging adult college students from multiple U.S. universities. The purpose of this study was to explore relations between symptoms of ADHD and …

Challenging The Law, Steven Arrigg Koh

Faculty Scholarship

Frédéric Mégret’s engaging contribution, A Look Back at The Women’s Hague Peace Conference: What Contribution To International Law Today?, exposes a legal duality. On one hand, the legalist perspective: law is a closed system. From this perspective, law is objective, hard, universal, and bounded. On the other hand, the sociocultural perspective: law is a human practice. From this perspective, law is subjective, organic, particular, and porous. This Essay reads Mégret’s analysis of the 1915 International Congress of Women in The Hague as a “sociocultural challenge,” disrupting the legalist perspective on international law, war, and peace during World War I. …

Multimodal Imaging Of Protein-Based Biomaterials For Delivering Chemo-Agent Cargo For Glioblastoma Treatment In A Murine Model, Orin Mishkit

Dissertations and Theses

Protein-based self-assembling biomaterials, known as Thermo-Responsive Assembled Proteins (TRAP), present meaningful potential as drug delivery carriers. These materials enable the controlled, slow release of poorly soluble chemotherapeutic agents, such as doxorubicin (Dox), while potentially reducing systemic off-target effects. In collaboration with multiple NYU labs, this study evaluated the efficacy of two TRAP variants—TRAP and F-TRAP—as drug delivery carriers in a xenograft mouse model of glioblastoma multiforme (GBM).

The primary objective was to compare the effectiveness of TRAP-loaded Dox (TRAP-DOX) to free Dox in achieving tumor extravasation and accumulation, facilitating sustained drug release. We hypothesized that the leaky vasculature of GBM …

A Study Exploring The Use Of Artificial Ligaments To Enhance The Human-Robot Interface Via Force Distribution Manipulation In Biomimetic Cuff Systems, Adifet Cejovic

Dissertations and Theses

Comfort is among the main priorities when designing a wearable assistive device that needs to be used for long sessions. There is a growing need for wearable systems that provide aid to patients with an injured knee. In addition, there has been an effort to incorporate cable-driven designs rather than rigid attachments. This change in design decreases the overall weight of the system and can allow the cable to adapt to a user’s change in gait patterns. This thesis investigates a cuff system centered around the knee and the design of a testing rig. This system incorporates elements from pre-existing …

Adaptation Of The Biodent For Spherical Microindentation To Determine Elastic Modulus In Small Rodent Bones, Mixame E. Jerome

Dissertations and Theses

Mechanical and material properties of bone are essential for understanding both normal skeletal function and the progression of bone-related diseases. Microindentation has become a widely used method for evaluating tissue mechanical properties of bone, as it samples the contributions of microarchitecture and composition. Microindentation using a standard pointed tip inherently introduces both elastic and plastic deformation into the material. In contrast, indentation with a spherical tip can be operated entirely in the elastic range, providing for a non-damaging test that has significant advantages over sharp indentation techniques. Moreover, a key advantage of using spherical indentation lies in its operation under …

Explorations Of Dna-Single-Walled Carbon Nanotube Interactions To Develop Multiplexed Molecularly Specific Biosensors For Inflammation, Amelia K. Ryan

Dissertations and Theses

Inflammatory cytokines such as interleukin-6 (IL-6) and interleukin-12 (IL-12) are central regulators of immune signaling and key biomarkers of disease, yet existing assays for their detection remain slow, invasive, and lack multiplexing ability. This dissertation advances the development of single-walled carbon nanotube (SWCNT) optical nanosensors capable of real-time, multiplexed, and molecularly specific cytokine detection through innovative use of single-stranded DNA (ssDNA) interfaces.

First, an IL-6-specific DNA aptamer was employed as both a dispersing agent and recognition probe for SWCNT fluorescence sensing. Sequence modifications, including anchor domains, truncations, and thermally induced refolding, were systematically tested to optimize sensitivity and selectivity. The …

Wearable Disposable Elecetrotherapy, Mohamad Fallahrad

Dissertations and Theses

Non-invasive electrotherapies offer promising treatments for a wide range of conditions such as pain, headaches, depression, addiction, cognitive decline, wound healing, and drug delivery. However, patient compliance remains low due to the high initial cost, cumbersomeness and inconvenience of existing technology compared to pharmaceuticals. Current electrotherapy devices are often bulky and require users to connect disposable electrodes, initiate programs, and manage charging cycles, which hinders widespread adoption.

We address these challenges by designing and validating a novel electrotherapy platform that is single-use, disposable, low-cost, and wearable. Activated automatically upon skin contact, the device delivers a preset dose of controlled electrical …

Classification Of Variable Stars Using Convolutional Neural Network, Abhina Premachandran Bindu

Dissertations and Theses

This research focuses on developing Convolutional Neural Networks (CNNs), for the process of classifying and identifying variable stars through the analysis of unprocessed light curves from Transiting Exoplanet Survey Satellite (TESS). As astronomical data is becoming increasingly complex, and as advanced missions deploy sophisticated instruments for data collection, both the quality and quantity of the data are improving at a rapid pace. This has created an urgent need to automate the analysis process using efficient and effective methods, such as those based on machine learning. While previous research has explored machine learning approaches, there has been limited focus on implementing …

Characterization Of The Intrinsic Neural Timescale Indices As A Reliable Fingerprint Of Brain Dynamics, Helya Honarpisheh

Dissertations and Theses

Intrinsic neural timescales (INTs) characterize the persistence of neural activity over time and offer insight into the brain’s temporal hierarchy. This thesis evaluates and compares six autocorrelation-based INT metrics—AR(1) Coefficient (Autoregressive Coefficient at 1), First Zero Lag, Lag at ACF = 1/e, Sum of Positive ACFs, ACF at Half Lag, Exponential Decay Constant (τ)— using resting-state fMRI data from 400 cortical regions across a large, lifespan sample (ages 6– 85) from the NKI-Rockland dataset. A discriminability analysis revealed that the AR(1) coefficient provided the highest test-retest reliability and individual specificity across repeated scans, establishing it as the most reliable INT …

Metasurfaces And Their Applications In Photonic Devices, Shuwei Guo

Dissertations and Theses

Metasurfaces are flat artificial optical elements composed of dielectric and/or metallic nanostructures. They can manipulate light in unprecedented ways by altering amplitude, phase, and polarization at subwavelength scales. The ability of these two-dimensional elements to perform multiple optical functions within compact optical systems—while offering high functionality, small form factors, and easy integration into optoelectronic devices—has sparked significant interest across various fields and industries. These applications span imaging, sensing, nonlinear and quantum optics, optical computing, automotive technology, augmented and virtual reality, and more.

In this dissertation, we explore and design new multifunctional metasurfaces with a focus on manipulating spectral responses. First, …

Multi-Material Adhesive Bonded Joints Under Static And Dynamic Loading, Gizem Derya Demir

Dissertations and Theses

Adhesively bonded joints present significant potential for reducing structural weight and enhancing performance in modern and future engineering structures. By enabling the elimination or reduction of traditional mechanical fasteners and facilitating the integration of dissimilar materials, adhesives can contribute to more efficient, lightweight designs. However, to fully leverage these benefits—especially in high-performance applications—adhesive materials must exhibit robust behavior under both static and dynamic loading conditions, such as ballistic impact. Despite their promise, the failure mechanisms of adhesives under such high-strain-rate scenarios remain insufficiently understood.

This dissertation investigates the performance of adhesively bonded multi-material joints subjected to static loading and ballistic …

Generation And Characterization Of Human Blood-Brain Barrier Models For Investigating Neuropsychiatric Disorders And Tumor Metastasis, Yunfei Li

Dissertations and Theses

The blood–brain barrier (BBB) is important in the normal function of the central nervous system (CNS). An altered BBB has been described in various neuropsychiatric disorders. The brain-specific microvascular endothelial cell (BMEC) is an essential structural component of the BBB. To test if integrity of the BBB formed by BMECs is compromised in 22q11.2 deletion syndrome (also called DiGeorge syndrome), which is one of the validated genetic risk factors for schizophrenia, a 2D iBBB (induced BBB) on a Transwell filter was generated from human microvascular endothelial cells (HBMECs) derived from the induced pluripotent stem cells (iPSCs) out of patients with …

A Hierarchical Bayesian Meta-Regression Model For Incorporating Exposure Range Variability, Xiaotong Xu

Public Health Theses

Accurately synthesizing evidence from epidemiologic studies is essential for understanding complex environmental risk relationships and establishing causal relationships. However, the majority of meta-analyses in this area ignore the possibility of variability in risk due to differences in study-specific exposure levels while typical dose-response statistical methods assume a single dose amount per study and not a distribution or range of doses (i.e., exposures). We develop a novel hierarchical Bayesian meta-regression framework that incorporates functional averaging over study-specific exposure ranges and models the underlying exposure-response relationship using a flexible Gaussian process. Using a low-rank predictive process formulation, our approach efficiently projects functional …

Enhancing Dengue Forecasting With Remotely Sensing-Derived Vector Proxies And Random Forest Models: A Case Study For Sri Lanka, Shuyu Ye

Public Health Theses

Dengue fever is a growing global public health threat, especially in tropical and subtropical regions such as Sri Lanka, where seasonal outbreaks impose recurring burdens on health systems. Accurate and timely forecasting of dengue incidence is essential for public health preparedness, yet most existing models suffer from key limitations: they rely on historical case trends without accounting for real-time ecological dynamics, and often require entomological surveillance data that is not consistently available. This thesis addresses these gaps by proposing a machine learning forecasting framework that integrates remote sensing-derived environmental proxies to estimate latent mosquito vector abundance.Using Principal Component Analysis (PCA), …