Digital Commons Network^™

Public Health Emergencies And The Second Amendment, Amy Swearer, Paul J. Larkin

Denver Law Review

For many decades, gun control advocates, hoping to shift the terms of the debate to more favorable terrain, have argued that gun violence should be viewed primarily through the lens of public health. In September 2023, New Mexico Governor Michelle Lujan Grisham and New Mexico Secretary of Health Patrick Allen pushed that rationale to its extreme and beyond. Under the auspices of the state’s public health emergency laws, they issued an executive order and agency directive that effectively eliminated the right of ordinary citizens to bear arms in public in the state’s most populous county. That attempt to circumvent the …

Mcmarriage Equality, William N. Eskridge Jr.

University of the Pacific Law Review

No abstract provided.

A Medicare Mess: How The Sad (List) Policy Injects Beneficiaries With Financial And Health Hardship, Kelly Ross

University of the Pacific Law Review

No abstract provided.

Frogs On A Plain: Spatial Ecology Of Crawfish Frogs In Arkansas’ Remnant Prairies, Elliot T. Lassiter

Graduate Theses and Dissertations

The prairie peninsula was an expansive and important habitat that covered much of midwestern North America, from Canada to Arkansas, USA. But the prairie peninsula has shrunk by as much as 99% since 1830, and therefore, land acquisition and public/private partnerships are critical for the preservation of prairies and their associated species. In Arkansas, one species that benefits from protected prairies is the Crawfish Frog (Lithobates areolatus), which is currently declining precipitously throughout its range. Adult Crawfish Frogs spend most of their lives in terrestrial refugia (crayfish burrows), making them highly vulnerable to habitat loss and fragmentation, thereby …

Religious Affiliation And Alcohol Use Amongst The College Population At The University Of Northern Colorado, Cassandra H. A. Higgins

Undergraduate Honors Theses

A rampant problem growing globally is the issue of substance use disorders, especially that of alcohol abuse. As the problem of alcohol abuse spreads, finding tactics to mitigate this issue or discover what aspects are causing this issue is important to decrease the threat of a further problem developing. Prior research on different religious groups has shown that people who identify as highly devout in their religion are often less likely to exhibit signs of alcohol abuse. This study examined students at the University of Northern Colorado with the goal of comparing their levels of religious affiliation with their levels …

An Exploration Of Np-Complete Problems In Finite And Infinite Constrains, Kayla Marie Schilz

Undergraduate Honors Theses

There is a long-standing problem in the mathematical world known as the P vs NP problem which relates to how we classify math problems. Problems in P are problems that are easy to solve and verify relatively quick whereas and NP are quick to verify, but it is unknown how easy or hard it is to solve quickly. We will discuss what it means to be solved quickly later on. Moving to the next classification, NP is either is equal to P, which would inherently make all P problems equal to NP-Complete, or P is simply not equal to NP. …

The Inclusion Of Behavioral Healthcare Providers In Primary Care Settings: A Phenomenological Study, Janette A. Hernandez

Dissertations

With the shift toward integrated care, Behavior Healthcare Providers (BHPs) play a crucial role in improving patient outcomes and accessibility to mental health services. However, challenges such as time constraints, role ambiguity, and limited understanding of BHP contributions persist. This qualitative phenomenological study explores the experiences of BHPs in integrated primary care settings. Using semi-structured interviews with eight BHPs, the study examines their roles, challenges, and contributions within healthcare teams. Findings indicate that BHPs enhance collaboration with medical staff and facilitate timely mental health interventions. Yet, barriers such as inconsistent role recognition and workflow inefficiencies hinder full integration. This study …

Literature Review: Parkinson's Disease And Non-Motor Symptoms, With A Focus On Constipation And Potential Therapeutics, Daria Smirnova

ALL - Honors Theses

Parkinson’s Disease (PD) is a progressive neurodegenerative disorder that tends to affect elderly individuals and is most commonly associated with the emergence of motor symptoms such as tremors, stiffness, and bradykinesia. However, non-motor symptoms (NMS), such as gastrointestinal (GI) issues, namely constipation, are also prevalent, and deeply affect the lives of individuals suffering with the disease. Among these, constipation stands out as one of the most common and frustrating problems for patients, typically arising from a variety of interrelated factors including disruptions in the autonomic nervous system (ANS), diminished dopamine activity, gut microbiota imbalances, inflammation, and side effects from PD …

Impact Of Water Ionic Chemistry On Kombucha Fermentation, Katherine A. Thompson-Witrick, Olivia Sundman, Sadie Disselkoen, Nicholas Hanson, Cheyenne Butler, Victoria Jordan, Ian Galbraith, Jada Spake, Seiler Pollock, Drew M. Budner

Chemistry

Kombucha is made by using a symbiotic culture of bacteria and yeast (SCOBY) to ferment sweetened tea. This fermentation produces a beverage with a unique aroma and acidic flavor. Kombucha has recently gained popularity in the United States and has been reported to have numerous health benefits. While there is a wide variation in kombucha composition, little is known about the impact water’s chemistry has on the fermentation and the resulting kombucha. Brewing water for kombucha was altered using the following ions: bicarbonate, chloride, calcium, magnesium, and sulfate at different concentrations. Pre-(tea) and post-(kombucha) fermentation (kombucha) products were analyzed for …

Use Of Equine H3n8 Hemagglutinin As A Broadly Protective Influenza Vaccine Immunogen, David Verhoeven, Brett A. Sponseller, James E. Crowe, Sandhya Bangaru, Richard J. Webby, Brian M. Lee

Chemistry

Development of an efficacious universal influenza vaccines remains a long-sought goal. Current vaccines have shortfalls such as mid/low efficacy and needing yearly strain revisions to account for viral drift/shift. Horses undergo bi-annual vaccines for the H3N8 equine influenza virus, and surveillance of sera from vaccinees demonstrated very broad reactivity and neutralization to many influenza strains. Subsequently, vaccinating mice using the equine A/Kentucky/1/1991 strain or recombinant hemagglutinin (HA) induced similar broadly reactive and neutralizing antibodies to seasonal and high pathogenicity avian influenza strains. Challenge of vaccinated mice protected from lethal virus challenges across H1N1 and H3N2 strains. This protection correlated with …

Ellipticity-Controlled Exceptional Points From Nanoscale Metasurfaces, Benjamin Goldberg

McKelvey School of Engineering Graduate Student Theses & Dissertations

Precise control over light polarization is critical for advancing technologies in telecommunica- tions, quantum computing, and image sensing. However, existing methods for manipulating polarization around exceptional points in non-Hermitian systems, have exclusively focused on circular polarization and work with reflected light. To address this limitation, we de- velop a novel metasurface platform with high-Q resonators that enables tunable control of polarization exceptional points across arbitrary ellipticity for transmitted light. Our design uses orthogonally polarized guided mode resonators in a two-layer silicon metasurface, where careful tuning of the dipolar guided mode resonances (DGMRs) and layer spacing allows us to control the …

Exploring The Cognitive Sense Of Self In Ai: Ethical Frameworks And Technological Advances For Enhanced Decision-Making, Emily Barnes, James Hutson

Faculty Scholarship

The burgeoning field of Artificial Intelligence (AI) increasingly focuses on developing systems capable of self-awareness, merging technological innovation with deep ethical and philosophical considerations. This article explores the cognitive sense of self within AI, examining mechanisms through which AI systems may mirror human-like consciousness and self-perception. Despite significant advances, substantial gaps remain in the understanding and practical implementation of self-aware characteristics in AI, particularly in applying theoretical models and ethical frameworks to real-world scenarios. There is a pressing need for comprehensive research to explore these theoretical underpinnings and translate them into operational systems capable of ethical and adaptable behaviors. This …

Decoding The Influence Of External Beam Radiotherapy To Brachytherapy Duration And Overall Treatment On Response And Early Recurrences In Cervical Cancer Patients Treated With Chemoradiation, Abhishek Krishna, Bharat Sai Makkapatti, M. S. Athiyamaan, Dilson Lobo

Open Access archive

Purpose: Cervical cancer is a significant global health issue affecting approximately 600,000 women each year. This study aimed to address the knowledge gaps surrounding the influence of treatment time parameters, including the duration of external beam radiotherapy (EBRT) to brachytherapy and overall treatment duration, on early recurrences. Materials and Methods: Details on demographics, tumor characteristics, treatment details, and outcomes in patients undergoing chemoradiation and brachytherapy for cervical cancer were collected from the medical records. Early recurrence was defined as tumor reappearance within 6 months after treatment in patients with an initial complete response. Statistical analyses included descriptive statistics chi-square tests, …

Arima-Genetic Algorithm Approach For Forecasting Milk Production In India, Pramit Pandit, Bishvajit Bakshi, Moumita Paul, B. S. Pooja

Open Access archive

Background: Dairying in India has witnessed a radical transformation from a largely unorganised activity into a thriving organised industry. However, there are only a limited number of earlier attempts that specifically evaluated the milk production pattern of India. Moreover, most of these earlier studies are quite dated and have employed autoregressive integrated moving average (ARIMA) models, which suffer from the problem of local optima. To overcome this lacuna, we have utilised a genetic algorithm (GA) in the ARIMA framework. Its suitability to forecast the annual milk production in India has also been assessed comparatively with respect to the traditional ARIMA …

Examining Nursing Students' Awareness Of Various Medical Errors During Clinical Internships To Enhance Patient Safety: A Multicenter Cross-Sectional Study, Ola Mousa, Basma Salameh, Asmaa Saber Ghaly, Md Gulzarull Hasan

Open Access archive

Background Patient safety is a global concern within health facilities, primarily attributed to medical errors, constituting a significant global public health issue. Patients experiencing medication errors face serious problems, with increasing mortality rates and escalating hospital costs. Aim The study aims to examine nursing students' awareness of various medical errors during their clinical internships at Al- Ahsa, identifying types of errors to enhance patient safety. Methods A cross-sectional study was conducted among 160 nursing students during their internship at King Faisal University, Al Ahasa, Saudi Arabia.A total of 131 participants completed a self-administered questionnaire based on a medical error scale …

Reproductive Injustice, Feminist Resistance, And The Uses Of History In Constitutional Interpretation, Serena Mayeri

William & Mary Bill of Rights Journal

Part I examines the erasure of constitutional memory about reproductive injustice and feminist mobilizations and the benefits of recovering these histories. Part II explores how cases involving women’s subordination provide particularly effective illustrations of the anti-democratic, even absurd, results the current supermajority’s approach to history-and-tradition is designed to produce. Part III concludes with a brief discussion of some sites for the expansion of constitutional memory about reproductive control and freedom.

This abstract has been taken from the author's introduction.

Cultivating And Sustaining Community Engagement At The Kachemak Bay National Estuarine Research Reserve, Rose Masui

Student Projects for Graduate Degrees

The Kachemak Bay National Estuarine Research Reserve (KBNERR) was established in Homer, Alaska in 1999 with an overarching purpose of conducting community relevant place-based research, education, training, and outreach within our region. The need to have the Reserve reflective of community needs was also captured within KBNERR’s 2021-2026 Management Plan. As of 2024, the process for engaging the community both to share information and to inform focus areas at the Reserve is not being implemented in a unified approach. Since 2021, three-quarters of the positions at KBNERR have experienced staffing turnovers. A need to re-establish the role the community plays …

Examination Of The Relationship Between Algal And Mussel Populations In Streams, Haarika Hebbur

Honors Projects

Due to the ecological importance of both mussel and algal populations, understanding their interactions is critical for further studies in the field. This literature review will explore the functions of both organisms within stream ecosystems, followed by an observational study. The study is designed to evaluate the potential interactions between algal biomass and mussel populations using chlorophyll a concentration as a tool for algal abundance measurement.

Dehydrin Client Proteins Identified Using Phage Display Affinity Selected Libraries Processed With Paired-End Phage Sequencing, Sandra Helena Unêda-Trevisoli, Lynnette M.A. Dirk, Francisco Elder Carlos Bezerra Pereira, Manohar Chakrabarti, Guijie Hao, James M. Campbell, Sai Deepshikha Bassetti Nayakwadi, Ashley Morrison, Sanjay Joshi, Sharyn E. Perry

School of Integrative Biological & Chemical Sciences Faculty Publications

The late embryogenesis abundant proteins (LEAPs) are a class of noncatalytic, intrinsically disordered proteins with a malleable structure. Some LEAPs exhibit a protein and/or membrane binding capacity and LEAP binding to various targets has been positively correlated with abiotic stress tolerance. Regarding the LEAPs’ presumptive role in protein protection, identifying client proteins (CtPs) to which LEAPs bind is one practicable means of revealing the mechanism by which they exert their function. To this end, we used phage display affinity selection to screen libraries derived from Arabidopsis thaliana seed mRNA with recombinant orthologous LEAPs from Arabidopsis and soybean (Glycine max …

Study Of The Effect Of Social Anxiety And Social Support On Third Place Perceptions In Student Samples, Lillian M. Lestrange

Honors Theses

Social Anxiety Disorder (SAD) and perceived social support are well-documented to influence social interaction styles and behaviors. Some data suggests that SAD and social support relate to perceptions and familiarity with various public spaces outside of home and work (i.e., third places). This study assessed relations among social anxiety, self-perceived social support, and attitudes/beliefs about ten common third places (i.e., perceived degree of restorativeness, preference, and sentiment for these places) among undergraduate psychology students (n = 92). Contrary to predictions based on prior research (Fong et al, 2021, Case & Hunter, 2012), social anxiety symptoms did not correlate with any …

Derivation Of A Novel Antimicrobial Peptide From The Red Sea Brine Pools Modified To Enhance Its Anticancer Activity Against U2os Cells, Mona Elradi, Ahmed I. Ahmed, Ahmed M. Saleh, Khaled M.A. Abdel-Raouf, Lina Berika, Yara Daoud, Asma Amleh

Faculty Journal Articles

Cancer associated drug resistance is a major cause for cancer aggravation, particularly as conventional therapies have presented limited efficiency, low specificity, resulting in long term deleterious side effects. Peptide based drugs have emerged as potential alternative cancer treatment tools due to their selectivity, ease of design and synthesis, safety profile, and low cost of manufacturing. In this study, we utilized the Red Sea metagenomics database, generated during AUC/KAUST Red Sea microbiome project, to derive a viable anticancer peptide (ACP). We generated a set of peptide hits from our library that shared similar composition to ACPs. A peptide with a homeodomain …

Investigating The Perceived Invisibility Of The Black Woman Leader In Fortune 500 Companies: Understanding Career Pathways Based On Insight And Intersectionality, Shana Jones Yarberry

Graduate Theses and Dissertations

There is a gap in the literature when examining the intersectionality of race, gender, and class. There is additional distance when evaluating the impact each intersection has on the career development of Black Women (BW) in Fortune 500 companies. The purpose of this study was to use a qualitative approach to investigate how the intersectionality of race, gender, and class impact the career advancement of BW while also identifying perceived barriers, historical patterns of career movement, and organizational efforts to support the ascension of BW in senior leadership. The Systems Theory Framework of Career Development and Intersectionality Theory were examined …

Predicting Different Psychological Profiles Amongst Substance Users., Zach J. Gray

Graduate Theses and Dissertations

Substance use disorders (SUDs) are some of the most prevalent issues facing society. As SUDs are highly individualized in how they manifest, recent work has attempted to classify distinct profiles of drug users to better understand what factors put someone at risk for shifting from casual substance use to developing a substance use disorder (SUD). Common risk factors for SUD development include stressor exposure, difficulties with emotion regulation, personality, and risky decision-making. As many of the behaviors that constitute SUDs are exhibited prior to potential diagnosis, developing “profiles” that combine these traits and experiences could eventually predict SUDs. The current …

Synthesis And Process Optimization Of Cellulose Nanocrystals From Miscanthus X. Giganteus For Commercial Viability, Jaspreet Kaur

Graduate Theses and Dissertations

Cellulose nanocrystals (CNCs), derivatives of an abundant biopolymer, i.e., cellulose, are emerging as promising alternatives to petrochemical-based products due to their unique properties, including biodegradability, low toxicity, high strength, low density, large surface area and low coefficient of expansion. CNCs have diverse applications ranging from food packaging and textiles to drug delivery and medical implants, etc. Despite their potential, the widespread commercialization of CNCs faces significant hurdles owing to the high environmental burden and production costs. They are mainly driven by the commonly used source utilized for CNC synthesis i.e., wood and the intensive synthesis process i.e., requirement of …

Influence Of Hydrologic And Anthropogenic Disturbance On Stream Populations And Communities, Sarah Frances Sorensen

Graduate Theses and Dissertations

Disturbances occur when an external force modifies a habitat, destroying living space, removing food resources, or altering or destroying habitat structure. In lotic systems, a primary source of disturbance is hydrologic disturbance, including drought and flood. Hydrologic disturbances lead to increased mortality rates and dispersal out of disturbed habitats, causing population sizes to decrease and changes to community structures. More research is needed on how disturbances impact stream species and communities, as disturbances are predicted to become more intense with climate change. This dissertation aims to understand how disturbance influences streams at both the population and community level, through a …

Reinforcement Learning-Based Optimal Control Of Uncertain Nonlinear Systems, Miguel Garcia, Wenjie Dong

Electrical and Computer Engineering Faculty Publications

This paper considers the optimal control of a second-order nonlinear system with unknown dynamics. A new reinforcement learning based approach is proposed with the aid of direct adaptive control. By the new approach actor-critic reinforcement learning algorithms are proposed with three neural network approximation. Simulation results are presented to show the effectiveness of the proposed algorithms.

Artificial Intelligence, Machines, Devices, And Robots: Mobilizing Humanness And Intelligence In The American Techno-Landscape, Carlos A. Batres

Dissertations

This dissertation is an ethnographic inquiry of artificial intelligence (AI) in the techno-landscape of three major metropolitan areas in the United States. It traces the ways in which both experts and non-experts talk about their interactions with AI via machines, robots, and other devices, and how the ways in which people deal with AI-technologies have come to shape how we think about our own ways of going about doing things. The goal is to discern what the social ramifications of this technology may be as relationships and relations are formed betwixt and between people and artificially intelligent things.

Mutual Enjoyment: A Levinasian Conception Of Freedom, Aaron Darrisaw

Dissertations

Established scholars typically regard the philosophy of Emmanuel Levinas as one that offers a morally elevated, and even religious, sense to the meaning of ethics. He uses many descriptions to encapsulate his understanding of ethics, but a common shorthand is “the calling into question of freedom.” This dissertation aims to answer the following question: What becomes of freedom after it has been submitted to Levinas’s ethical critique? Engaging this question emphasizes the distinctively political significance of Levinas’s philosophy, a significance that is often regarded as lacking. However, my project treats freedom as a unique prism through which to interpret Levinas’s …

Machine Learning And Evaluation Of Diabetes Risk Using 2022 Brfss Data, Addie Weaver

Masters Theses

This research analyzes Behavioral Risk Factor Surveillance System data from 2022 with three machine learning models, Neural Network, Random Forest, and Support Vector Machine, to determine and compare the models’ accuracy rate of diabetes prediction. Principal Component Analysis was employed to determine principal factors of diabetes risk. Results show that the Neural Network is most accurate at 90.09 percent at predicting diabetes. Factors increasing diabetes risk include alcohol consumption, smoking, and self-perceived mental and physical health.

Biomechanics And Clinical Implications Of Fontan Upsizing, Vijay Govindarajan, Akshita Sahni, Emily Eickhoff, Peter Hammer, David M Hoganson, Rahul H Rathod, Pedro J Del Nido

Faculty, Staff and Student Publications

Background: The Fontan operation, a palliative procedure for single ventricle patients, has evolved to improve outcomes and reduce complications. While extracardiac conduit (ECC) is favored for its simplicity and potential hemodynamic benefits, concerns arise about conduit size adequacy over time. Undersized ECC conduits may cause hemodynamic inefficiencies and long-term complications, while oversizing can lead to flow disturbances, stagnation, and thrombosis, necessitating surgical revision or upsizing to optimize hemodynamics.

Objectives: The study aimed to predict the impact of upsizing by developing a patient-specific workflow using cardiac magnetic resonance-based imaging and computational fluid dynamics to assess Fontan hemodynamic changes and determine the …