Digital Commons Network^™

Colonizing By Contract, Emmanuel Hiram Arnaud

Faculty Scholarship

Since 1898, Puerto Rico has been a territory of the United States, meaning that Congress wields plenary power over the Island. Although scholars have highlighted the history and some modern manifestations of this power, conversations about how plenary power affects the territories have largely ignored constitutional criminal procedure.

This Article is the first to center the territory’s criminal legal system within the broader debate over the exercise of plenary power. In doing so, it fills significant gaps in the constitutional and criminal law literature on the territories by uncovering how the federal government’s plenary power affects local criminal adjudication. This …

Inhibitory P300 Subprocesses And Neural Compensation In Genetic Risk For Alzheimer’S Disease: The Case For Temporal–Spatial Principal Component Analysis, Elizabeth R. Paitel, Kristy A. Nielson

Psychology Faculty Research and Publications

The P300 event-related potential (ERP) is widely investigated in cognitive neuroscience, including related to aging, with smaller amplitudes and delayed latency consistently reported in Alzheimer's disease (AD). Given that AD-related neurological changes begin years before symptom onset, ERPs in asymptomatic elders with AD risk may characterize early changes. ERPs are seldom studied in this population. Yet, healthy carriers of apolipoprotein-E (APOE) ε4 have evidenced delayed P300 latencies, while P300 amplitude differences are seldom found. However, despite its frequent study, the specific cognitive processes reflected by P300 remain unclear. We propose that these challenges are due to the relatively long P300 …

Effect Of Fathers In Preemie Prep For Parents (P3) Program On Couple’S Preterm Birth Preparedness, Mir A. Basir, Siobhan M. Mcdonnell, Ruta Brazauskas, U. Olivia Kim, Sheikh Iqbal Ahamed, Jennifer J. Mcintosh, Kris Pizur-Barnekow, Michael B. Pitt, Abbey Kruper, Steven R. Leuthner, Kathryn E. Flynn

Computer Science Faculty Research and Publications

Objective

Evaluate the effect of fathers’ participation in the Preemie Prep for Parents (P3) program on maternal learning and fathers’ preterm birth knowledge.

Methods

Mothers with preterm birth predisposing medical condition(s) enrolled with or without the baby’s father and were randomized to the P3 intervention (text-messages linking to animated videos) or control (patient education webpages). Parent Prematurity Knowledge Questionnaire assessed knowledge, including unmarried fathers’ legal neonatal decision-making ability.

Results

104 mothers reported living with the baby’s father; 50 participated with the father and 54 participated alone. In the P3 group, mothers participating with the father (n = 33) had greater …

Interactional Ordering: Reconstructing Lon Fuller's Theory Of Private Law, Shyamkrishna Balganesh

Faculty Scholarship

While Lon Fuller is best remembered for his contributions to the fields of general jurisprudence and contract law, his work in each has long been seen as unrelated to the other. This Article shows that in a significantly underappreciated body of work, Fuller did connect the two and, in the process, developed the outlines of a robust theory of private law, best characterized as “interactional ordering.” Driven by Fuller’s efforts to develop a jurisprudence of form that was derived from conventionalism and natural law thinking, interactional ordering sees all normativity as originating in horizontal interactions between individuals in society, seeking …

Experimental Investigation Of Freezing Microdroplets For Understanding Chain Crystal Aggregates Observed In Atmospheric Clouds, Imteaz Osmani

Theses and Dissertations

Ice crystal aggregates are observed in upper stratospheric clouds. The crystal aggregates can form in different orientations, geometry, and shapes which are not well studied. These crystal aggregations are found in the clouds as crystal chains of various lengths and cause damage to hypersonic vehicles which include missiles, re-entry vehicles, and jet aircraft. The reasons behind such damage by atmospheric crystal chains to hypersonic bodies are unknown. That is why studying these ice crystals and their behavior in the hypersonic environment is necessary. Ice crystals form in the atmosphere in two different ways which are homogenous and heterogenous. Heterogenous freezing …

Behavioral Health Workforce Modeling To Assist In Prioritizing Educational Pathways Programs In North Dakota, Mandi-Leigh Peterson

Theses and Dissertations

Background. The need for behavioral health services in North Dakota has grown in recent years. As part of the response to the need for services, a state definition of behavioral health workforce was enacted in state statute to assist in addressing this need. Thus far, no empirical evaluations of the status of that workforce have been conducted.Purpose. The primary purpose of this work was to quantify the supply and demand for the behavioral health workforce in North Dakota to assist in identifying and prioritizing those educational pathways that can assist in growing the identified needed workforce. Sample. This study examined …

Causes Of The Morphological Distinctiveness Of Ahuna Mons And Differences In Cryovolcanic Styles On Ceres And The Inner Uranian Satellites Miranda And Ariel, Caleb Strom

Theses and Dissertations

Ahuna Mons is one of the most distinctive features on the dwarf planet (1) Ceres and shows evidence of cryovolcanic activity on a main belt object in the geologically recent past. Ahuna Mons is unusual, however, in that it has a higher aspect ratio and sharper features than other candidate domes on Ceres. It also stands apart from cryovolcanic features identified on other suspected cryovolcanic worlds like Miranda and Ariel, where cryovolcanism is associated with double ridges and potential plume activity. In this work, dome age, based on crater counting, and aspect ratio are compared through correlative analysis to investigate …

Development, Characterization, And Application Of Nanomaterials For Target Detection And Therapeutic Study, Yingfen Wu

Theses and Dissertations

Nanomaterials have emerged as a pivotal area of research in chemistry, driven by their unique properties that make them suitable for both industrial and biomedical applications. Among nanomaterials, nanozyme is a series of nanomaterials with enzyme-mimetic activities that can proceed with the catalytic reactions of natural enzymes, conferring significant potential for their use in various biomedical applications. Herein, we describe three types of nanomaterials products with distinct properties and applications: 1) Fe³⁺-doped graphene quantum dots (GQDs) for sensitive H₂O₂ detection; 2) ratiometric fluorescent nanoprobes based on near-infrared (NIR) semiconducting polymer dots for label-free detection of dopamine; and 3) Multifunctional near …

Normative Neuroimaging Library: Designing A Comprehensive And Demographically Diverse Dataset Of Healthy Controls To Support Traumatic Brain Injury Diagnostic And Therapeutic Development, Stephen R Mccauley, Robert C Welsh, John P Mugler, Nick Tustison, Brian Avants, Christopher T Whitlow, Lee Lancashire, Seema D Bhatt, Magali Haas

Faculty, Staff and Students Publications

The past decade has seen impressive advances in neuroimaging, moving from qualitative to quantitative outputs. Available techniques now allow for the inference of microscopic changes occurring in white and gray matter, along with alterations in physiology and function. These existing and emerging techniques hold the potential of providing unprecedented capabilities in achieving a diagnosis and predicting outcomes for traumatic brain injury (TBI) and a variety of other neurological diseases. To see this promise move from the research lab into clinical care, an understanding is needed of what normal data look like for all age ranges, sex, and other demographic and …

Diabetter Together: Clinical Trial Protocol For A Strengths-Based Peer Mentor Intervention For Young Adults With Type 1 Diabetes Transitioning To Adult Care, Wendy Levy, Stephanie Camey, Kishan Desai, Brenda Duran, Randi Streisand, Barbara J Anderson, Siripoom V Mckay, Tricia S Tang, Sridevi Devaraj, Ryan Ramphul, Marisa E Hilliard

Faculty, Staff and Students Publications

Background: Type 1 diabetes (T1D) management is challenging for young adults, who are expected to transfer from the pediatric to adult T1D healthcare system while also managing typical developmental demands (e.g., social, financial, work/school, residential). Many young adults have extended gaps in care before following up in adult care, increasing risk for poor health outcomes. There are few evidence-based programs to support young adults with T1D to promote a timelier transition during this period. This paper reports on the design of DiaBetter Together, a randomized controlled trial to evaluate a 12-month Peer Mentor-delivered intervention compared to usual care among young …

Association Of Common And Rare Variants With Alzheimer’S Disease In More Than 13,000 Diverse Individuals With Whole-Genome Sequencing From The Alzheimer’S Disease Sequencing Project, Beth A Dombroski, Hui Wang, Katia Bulekova, Amanda B Kuzma, Yuk Yee Leung, John J Farrell, Honghuang Lin, Brian W Kunkle, Adam Naj, Elizabeth E Blue, Frederick Nusetor, Dongyu Wang, Eric Boerwinkle, William S Bush, Xiaoling Zhang, Philip L De Jager, Josée Dupuis, Lindsay A Farrer, Eden Martin, Margaret Pericak-Vance, Sudha Seshadri, Ellen M Wijsman, Li-San Wang, Alzheimer's Disease Sequencing Project;, Gerard D Schellenberg, Anita L Destefano, Jonathan L Haines, Gina M Peloso

Faculty, Staff and Student Publications

INTRODUCTION: Alzheimer's disease (AD) is a common disorder of the elderly that is both highly heritable and genetically heterogeneous.

METHODS: We investigated the association of AD with both common variants and aggregates of rare coding and non-coding variants in 13,371 individuals of diverse ancestry with whole genome sequencing (WGS) data.

RESULTS: Pooled-population analyses of all individuals identified genetic variants at apolipoprotein E (APOE) and BIN1 associated with AD (p < 5 × 10

DISCUSSION: We observed that complementary pooled-population and subgroup-specific analyses offered unique insights into the genetic architecture of AD.

HIGHLIGHTS: We determine the association of genetic variants with Alzheimer's disease (AD) using …

Genetic Architecture Of Cerebrospinal Fluid And Brain Metabolite Levels And The Genetic Colocalization Of Metabolites With Human Traits, Yueyao Wang, Lihua Wang, Priyanka Gorijala, Jigyasha Timsina, Agustin Ruiz, Pau Pastor, Maria Victoria Fernandez, Dominantly Inherited Alzheimer Network (Dian), Alzheimer’S Disease Neuroimaging Initiative (Adni), Daniel J Panyard, Corinne D Engelman, Yuetiva Deming, Merce Boada, Amanda Cano, Pablo Garcia-Gonzalez, Neill R Graff-Radford, Hiroshi Mori, Jae-Hong Lee, Laura Ibanez, Yun Ju Sung, Carlos Cruchaga

Faculty, Staff and Student Publications

Brain metabolism perturbation can contribute to traits and diseases. We conducted a genome-wide association study for cerebrospinal fluid (CSF) and brain metabolite levels, identifying 205 independent associations (47.3% new signals, containing 11 new loci) for 139 CSF metabolites, and 32 independent associations (43.8% new signals, containing 4 new loci) for 31 brain metabolites. Of these, 96.9% (CSF) and 71.4% (brain) of the new signals belonged to previously analyzed metabolites in blood or urine. We integrated the metabolite quantitative trait loci (MQTLs) with 23 neurological, psychiatric and common human traits and diseases through colocalization to identify metabolites and biological processes implicated …

Biological Validation Of Peak-Width Of Skeletonized Mean Diffusivity As A Vcid Biomarker: The Markvcid Consortium, Rebecca Bernal, Elyas Fadaee, Haykel Snoussi, Angel Gabriel Velarde Dediós, Hector A Trevino, Monica Goss, Laura J Hillmer, Christopher E Bauer, Adam M Staffaroni, Lara Stables, Marilyn Albert, Jayandra J Himali, Thomas H Mosley, Lars Forsberg, Vilmundur Guðnason, Baljeet Singh, Herpreet Singh, Kristin Schwab, Gary A Rosenberg, Karl G Helmer, Steven M Greenberg, Mohamad Habes, Danny J J Wang, Brian T Gold, Hanzhang Lu, Arvind Caprihan, Myriam Fornage, Lenore J Launer, Konstantinos Arfanakis, Sudha Seshadri, Charles Decarli, Pauline Maillard, Claudia L Satizabal

Faculty, Staff and Student Publications

BACKGROUND: Peak-width of skeletonized mean diffusivity (PSMD), a neuroimaging marker of cerebral small vessel disease (SVD), has shown excellent instrumental properties. Here, we extend our work to perform a biological validation of PSMD.

METHODS: We included 396 participants from the Biomarkers for Vascular Contributions to Cognitive Impairment and Dementia (MarkVCID-1) Consortium and three replication samples (Cohorts for Heart and Aging Research in Genomic Epidemiology = 6172, Rush University Medical Center = 287, University of California Davis Alzheimer's Disease Research Center = 567). PSMD was derived from diffusion tensor imaging using an automated algorithm. We related PSMD to a composite measure …

Synthesis Of Binary-Input Multi-Valued Output Optical Cascades For Reversible And Quantum Technologies, Ishani Agarwal, Miroslav Saraivanov, Marek Perkowski

Electrical and Computer Engineering Faculty Publications and Presentations

This paper extends the decomposition from the group theory based methods of Sasao and Saraivanov to design binary input multivalued output quantum cascades realized with optical NOT, SWAP, and Fredkin Gates. We present this method for 3, 5, and 7 valued outputs, but in general it can be used for odd prime valued outputs. The method can be extended to realize hybrid functions with different valued outputs. A class of local transformations is presented that can simplify the final cascade circuits. Using these simplifying transformations, we present an upper bound on the maximum number of gates in an arbitrary -variable …

Pathway-Based Clustering Identifies Two Subtypes Of Cancer-Associated Fibroblasts Associated With Distinct Molecular And Clinical Features In Pancreatic Ductal Carcinoma

Faculty, Staff and Student Publications

Existing single-cell clustering methods are based on gene expressions that are susceptible to dropout events in single-cell RNA sequencing (scRNA-seq) data. To overcome this limitation, we proposed a pathway-based clustering method for single cells (scPathClus). scPathClus first transforms single-cell gene expression matrix into pathway enrichment matrix and generates its latent feature matrix. Based on the latent feature matrix, scPathClus clusters single cells using the method of community detection. Applying scPathClus to PDAC scRNA-seq datasets, we identified two types of cancer-associated fibroblasts (CAFs), termed csCAFs and gapCAFs, which highly expressed complement system and gap junction-related pathways, respectively. Spatial transcriptome analysis revealed …

Tumor Expression Of Cd83 Reduces Glioma Progression And Is Associated With Reduced Immunosuppression, Alexis Cervantes, Zhung-Fu Lee, Anna Rosenbaum, Peihao He, Carrie Mohila, Arif O Harmanci, Akdes Serin Harmanci, Benjamin Deneen, Ganesh Rao

Faculty, Staff and Student Publications

Immunosuppression in malignant glioma remains a barrier to therapeutic development. CD83 overexpression in human and mouse glioma increases survival. CD83+ tumor cells promote signatures related to cytotoxic T cells, enhanced activation of CD8+ T cells, and increased proinflammatory cytokines. These findings suggest that tumor-expressed CD83 could mediate tumor-immune communications.

Time Series Decomposition Of Land Surface Temperature For Long-Term Trend Forecasting And Impact On Nesting Sea Turtle Habitats In The Arabian Gulf, Sachi Perera, Rommel H. Maneja, Mohamed Allali, Cyril Rakovski, Erik Linstead, Daniele Struppa, Ali Qasem, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Improving land surface temperature (LST) modeling is vital for mitigating climate change effects on various ecosystems and marine habitats such as important sea turtle habitats. Over the past decade, extreme temperatures have likely significantly affected nesting sea turtle habitats in the Arabian Gulf, with predominantly female hatchlings creating an imbalance in the sex ratio. Such shifts have profound implications for these habitats’ long-term survival and conservation management. This study leverages statistical machine learning models to measure ongoing temporal variations in LST. We break down the LST time series into trend, seasonal, and noise components using classical decomposition methods like X11, …

Impact Of Snow Accumulation On Structural Integrity: Present And Future Perspectives, Kenneth K. Pomeyie

All Graduate Theses and Dissertations, Fall 2023 to Present

In the United States, accommodating the weight of accumulated snow on buildings is a crucial consideration in building design. Engineers are tasked with determining the design snow load, which is defined as the weight of accumulated snow that a structure should withstand to limit the risk of building collapse to an acceptably low level. Typically, this process involves analyzing historical data of the annual maximum snow accumulations for each snow season. However, accurately assessing these design snow loads entails navigating through a series of statistical challenges. This dissertation, composed of three papers, is dedicated to addressing these statistical hurdles in …

Course Of Disease Progression And Time To Death Among Different Dementia Types In A Population Based Study, Kaitlyn E. Kauzor

All Graduate Theses and Dissertations, Fall 2023 to Present

Alzheimer’s disease (AD) is the most common type of dementia, Other types of dementia include vascular (VaD) and mixed forms, like AD with VaD, other mixed forms of dementia or dementia of unknown etiology (DUE). Research has focused on factors that may increase risk of developing dementia, with less understood about disease course. Factors associated with risk for developing dementia onset include age, female sex, family history of dementia, genetics (e.g. having the ε4 allele of the Apolipoprotein E or APOE gene), and various health conditions. This project used previously collected data from the Cache County Study on Memory and …

Aggregate And Disaggregate Effects Of The Us-China Trade War On Us Agriculture, Aflatun Kaeser

All Graduate Theses and Dissertations, Fall 2023 to Present

In 2018 and 2019, the US-China trade war caused a significant shift in US agricultural trade dynamics. This thesis conducts an aggregate and disaggregate analysis of the impact, using event study analysis to reveal varying effects on US agricultural exports, with a substantial effect on Soybean and Dairy exports. The analysis also found that there are heterogeneous effects on other agricultural commodities such as fruits, wheat, and tree nuts. Using Bayesian Structural Time Series Modeling, the study finds a 29% decline in soybean exports during the trade war period. These findings underscore the importance of considering the heterogeneity in the …

A Mass Balance Model Of The Great Salt Lake, Ut With Adaptive Management Applications, Diana Dunn

All Graduate Theses and Dissertations, Fall 2023 to Present

The Great Salt, Utah, USA is a saline lake that provides critical habitat for ecologic communities and generates $1.3 billion annually. It has gone through detrimental change since the 20^th century. Streamflow reaching the lake has been decreased by upstream withdrawal for industrial and municipal use, causing the lake level to drop and salinity to increase to unhealthy levels. Further, in 1959, it was segregated into north and south sections by a railroad causeway. Due to the causeway and limited exchange of water through two bridges, the lake sections have significantly different water surface elevation and salinity levels. The …

Metabolic Capabilities Of Latilactobacillus Curvatus And The Potential Use As An Adjunct Culture For Food Safety And Quality Control In Yogurt, R. Chase Wahlstrom

All Graduate Theses and Dissertations, Fall 2023 to Present

In the quest for healthier and more natural food products, using beneficial lactic acid bacteria to preserve food, known as biopreservation, is becoming increasingly important. This research focused on a strain of beneficial bacteria called Latilactobacillus curvatus and its ability to inhibit fungal growth both in lab settings and in a yogurt system. This has the potential to enhance the safety and quality of dairy products.

We studied a specific strain of this bacteria, named WSU-1, found in dairy. Through detailed analysis, we discovered that this strain could produce substances that may help protect food from harmful microbes. In laboratory …

Barriers And Drivers To Bus Electrification: The Transit Agency's Perspective, Aleks C. Paskett

All Graduate Theses and Dissertations, Fall 2023 to Present

Battery-electric buses (BEBs) have become increasingly common in recent years, as transit agencies around the world seek to reduce their carbon emissions. Although many agencies and governments have set ambitious climate goals pushing for increased adoption of BEBs, some agencies face difficulty transitioning their fleets to this technology. This study seeks to understand the challenges faced by these agencies, as well as their motivations for adopting BEBs. Researchers conducted a series of interviewers with twelve transit leaders representing ten transit agencies who were leading BEB adoption programs, asking questions about their experiences trying to implement this technology. The interviewees stated …

Development Of A Subsurface Water Velocity And Quality Measurement Payload For Suas, Mitchell Bailey

All Graduate Theses and Dissertations, Fall 2023 to Present

Aquaculture farms, like oyster farms, often use outdated techniques to measure the quality of their waters. These techniques are often stationary or are deployed by an operator who may struggle to reach a location depending on conditions like the presence of a storm or low tide. This creates data sets with gaps over time and across the area of the farm, meaning the data cannot be used to model the standard farm conditions. An Uncrewed Aerial System (UAS) payload is developed in this paper that is capable of measuring depth-velocity profiles through the use of a tethered velocity sensor. The …

Interpretable And Robust Deep Anomaly Detection, He Cheng

All Graduate Theses and Dissertations, Fall 2023 to Present

Anomaly detection is crucial in fields like cybersecurity, healthcare, and finance, as it helps identify unusual or potentially harmful events in data. With the rise of deep learning, advanced models have been developed for anomaly detection, but they often operate as "black boxes" that lack transparency and can be susceptible to malicious attacks. My research addresses these issues by creating methods that make deep learning-based anomaly detection more understandable and by investigating how such models can be compromised by backdoor attacks.

To improve transparency, I propose three methods that explain how these models detect anomalies. The first method, called Anomalous …

Quantifying The Impact Of Rain-On-Snow Induced Flooding In The Western United States, Emma M. Watts

All Graduate Theses and Dissertations, Fall 2023 to Present

Serious flooding can happen when rain falls on snow, which we call a rain-on-snow (ROS) event. Increasing our understanding of the behavior of floods resulting from ROS events can help us design better systems to manage flood water and prevent it from causing damage. This thesis explores how ROS events affect streamflow in the Western United States by examining the weather conditions that precede a streamflow surge. We classify stream surges as ROS or non-ROS induced based on these weather conditions, which helps us separate floods caused by ROS events from those caused by other factors. By comparing these different …

From Pasture To Plate: Striking An Omega Balance Between Grass-Fed And Grain-Fed Beef Ribeyes - Fatty Acid Composition, Minerals, Soil, And Forage Analysis, Travis Earl Statham

All Graduate Theses and Dissertations, Fall 2023 to Present

Most beef cattle in the US are feedlot-finished where intensive feeding of grains is used to increase weight and yield; however, a minority are raised in grass-fed operations that use exclusive pasture, rangeland, and hay for feeding, possibly leading to benefits for the land, soil, ecosystems, forages, and the meat itself. These operations use a variety of methods, and the goal of this was to recognize differences in the soil and forage metrics to help understand the resulting meat fatty acid composition and mineral content. We collected these samples from 78 sets of farmers while testing 25 sets of grain-fed …

Feature Selection In Multivariate Time Series Data For Enhanced Solar Flare Classification, Yagnashree Velanki

All Graduate Theses and Dissertations, Fall 2023 to Present

Solar flares are powerful eruptions of energy from the Sun that can cause disruptions to technology here on Earth, like communication systems, GPS, and power grids. To help manage these risks, it’s important to accurately identify and classify these solar flares before they cause problems. In our research, we focused on improving how we classify solar flares by looking at large sets of complex data collected over time. We used several techniques to find the most important factors that help us tell different types of solar flares apart. Each method has its strengths, so instead of relying on just one, …

A Relaxable Vortex Wake Model For Modern Supersonic Panel Methods, Joshua J. Hurwitz

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis presents an improved vortex wake model for unstructured, supersonic panel methods. Panel methods are numerical methods that utilize inviscid flow assumptions and other simplifications to allow efficient computation of pressure distributions, velocity fields, and aerodynamic forces. They are commonly used for preliminary design, automatic design codes, and automatic optimization routines. Most existing supersonic panel methods do not include automatic wake generation and relaxation. This prevents the accurate analysis of many geometries, including those with conventional horizontal stabilizers or canards. This thesis first outlines the derivation of a relaxable generalized supersonic vortex filament equation. Next, it explores other necessary …

Insights From Diverse Environments: Investigating The Fate And Transport Of Semivolatile Organic Contaminants In Alpine, Arctic, And Arid Regions, Jeffrey Perala-Dewey

All Graduate Theses and Dissertations, Fall 2023 to Present

This dissertation investigates the fate and transport of pollutants through four field-based studies in a diverse array of environments. These pollutants travel through the atmosphere and end up in places far from their original sources. In this work I explore how chemical properties of the pollutants and the environmental processes that are present change the way the pollutants travel through the environment. In the first study, pollutants from car engines were quantified in the vegetation along transects in three alpine valleys. Using these measurements, I investigated how the chemical properties of the pollutants impacted their interplay with wind systems in …