Digital Commons Network^™

Outcomes Associated With Childhood Parental Divorce: An Umbrella Review Of Meta-Analyses, Gabriel Xing Da Tan, Andree Hartanto, Ysabel Thereze Ang Guevarra, Angel K. M. P. Lee, Jing Jie Kenneth Koh, K Tennakoon Appuhamillage Sandeeshwara Kasturiratna

Research Collection School of Social Sciences

Background: Childhood parental divorce has been consistently associated with a host of negative outcomes across multiple domains, such as socioemotional, behavioural, academic, and physical health, which can persist into adulthood. Despite extensive research on childhood parental divorce, the current literature lacks a systematic, integrated synthesis that clarifies which child outcomes are most consistently associated with parental divorce, as well as the potential moderators influencing these associations. Therefore, we conducted an umbrella review of meta-analyses to bridge this gap by consolidating the existing research and providing an exhaustive overview. Methods: Systematic searches were conducted across various databases and following a two-stage …

The Smallholder’S Dilemma In Agroecological Transitions: The Diseconomy Of Agroecology For Small Farmers In Industrial Agriculture, Qian Forrest Zhang

Research Collection School of Social Sciences

A scalar contradiction exists between agroecology's three goals: while ecological sustainability is best pursued at the landscape scale, social equity and livelihood goals often require organizing production at the small scale of family farms. In China's ‘industrial agriculture of small farmers’, ecological farming practices became economically unviable at small farmers' minuscule scales. Agroecological transitions almost always first go through a scale expansion, a process fraught with tension. The empirical analysis focuses on three ‘ecological farms’ that enjoyed favorable conditions unattainable to smallholders. Yet, lock-ins across five dimensions have either made their operations economically unsustainable or forced compromises in agroecological principles.

Low Methane Emissions From Nutrient-Rich Former River Channels In A Hydrologically Managed Dryland Delta, Siena Stassi, Jude A. Benavides, Chu-Lin Cheng, Marcelo Gomes Da Silva, Nicholas E. Ray, Nathan O. Barros, Rafael M. Almeida

School of Earth, Environmental, & Marine Sciences Faculty Publications

Anthropogenic stresses in dryland regions can alter hydrology, salinization, and biogeochemical processes. How these pressures influence methane (CH4) cycling and emissions from aquatic ecosystems remains poorly understood. Over the course of 1 year, we measured diffusive and ebullitive CH4 emissions from resacas—shallow, hydrologically managed distributary channels prevalent throughout the Lower Rio Grande Valley along the US–Mexico border. Despite warm, nutrient-rich waters, CH4 emissions from resacas were low, and more comparable to rates observed in estuarine systems. CH4 fluxes were positively related to temperature but negatively related to salinity and rainfall. Elevated salinity, driven by evaporation and source water from the …

Landscape Connectivity And Wildlife Access To Water Across An International Border: Barriers And Opportunities For Facilitating Transboundary Movement, Bogdan Chivoiu, Erin L. Koen, Michael J. Osland, Christopher A. Gabler, Jerald T. Garrett, Ernesto Reyes, Stephanie A. Bilodeau, Mitch A. Sternberg, Jude A. Benavides, James Martinez

School of Earth, Environmental, & Marine Sciences Faculty Publications

Rapid global acceleration in the construction of physical barriers along international borders has greatly influenced biodiversity and animal movement. Physical barriers can fragment landscapes, hinder access to essential resources, impact long-distance migrations, and inhibit dispersal and gene flow. The effects of physical barriers on animal movement and landscape connectivity can be exacerbated in dryland environments where access to water is a limiting factor. In recent decades, the construction of border barrier infrastructure has accelerated along the international boundary between the United States and Mexico. Here, we used a landscape connectivity model to investigate the effects of barriers on wildlife access …

Moderating Effects Of Defense Mechanisms On The Link Between Dark Triad Traits And Stress: A Replication With Addition Of Early Trauma, Ngayin Cheng

Student Theses

Literature suggested Dark Triad traits, comprised of narcissism, Machiavellianism, and psychopathy, are linked to adverse childhood environment and maladaptive coping that contribute to negative mental health outcomes, but Richardson and Boag's study (Richardson & Boag, 2016) was one of the few studies that first found Dark Triad traits are associated with immature defenses and higher perceived stress simultaneously. This replicated study aims to verify the original findings of their research by examining how defense mechanisms moderate the relationship between Dark Triad traits and perceived stress. A sample of 199 participants completed self-report measures assessing the Dark Triad traits, defense styles, …

An Expertise-Based Approach To Training Decision-Making And Situational Awareness For Basketball Referees, Scott Warner Boatright

Dissertations

Expertise, rapid decision-making, and situational awareness are key components of high performance in many areas, including basketball officiating. Traditional methods of providing feedback on performance to basketball referees rely heavily on broadcast video and rule review, which does not adequately target the perceptual-cognitive skills associated with rapid and dynamic decision-making. The current study developed and evaluated a 360-degree video virtual reality (VR) Expertise-Based Training (XBT) program designed to accelerate expertise in intermediate-level basketball referees. Using think-aloud protocol, conducted with an expert basketball referee, expert judgments and rational were elicited and implemented as Expert-Model Feedback within the referee training program. Twelve …

College Student Coping And Experiences During The Covid-19 Pandemic, Trinka Peer Pape

Dissertations

The isolation experienced by college students during the COVID-19 pandemic led to numerous issues and increased stress. The purpose of this study was to examine the coping mechanisms that college students utilized during the COVID-19 pandemic and explore the impact of the pandemic on how these students coped and their overall lived experiences. Participants were juniors and seniors graduating between May 2023 and May 2024 from a university in the southern Midwest. The researcher employed a mixed methodology approach, consisting of a quantitative survey, followed by qualitative interviews with students who completed the survey. Based on the results of the …

Optical Counterparts To X-Ray Sources In Lsst Dp1, Yuankun David Wang, Eric Bellm, Robert I. Hynes, Yue Zhao, Poshak Gandhi, Liliana E. Rivera Sandoval, Sandro Campos, Neven Caplar, Melissa Delucchi, Konstantin Malanchev

Physics & Astronomy Faculty Publications

We present a crossmatch between a combined catalog of X-ray sources and the Vera C. Rubin Observatory Data Preview 1 (DP1) to identify optical counterparts. The six fields targeted as part of DP1 include the Extended Chandra Deep Field South (E-CDF-S), the Euclid Deep Field South, the Fornax Dwarf Spheroidal Galaxy (Fornax dSph), 47 Tucanae (47 Tuc), and science validation fields with low Galactic and ecliptic latitude (SV_95_-25 and SV_38_7, respectively). We find matches to 2314 of 3830 X-ray sources. We also compare our crossmatch to DP1 in the E-CDF-S field to previous efforts to identify optical counterparts. The probability …

Effects Of M6a Dna Methylation By Bacterial Methyltransferase In Colorectal Cancer, Fabian Alejandro Mendoza Galvan

Dissertations and Theses (Open Access)

Effects of m6A DNA methylation by bacterial methyltransferase in colorectal cancer Fabian Alejandro Mendoza Galvan Advisory Professor: Angela H. Ting, Ph.D. Fusobacterium nucleatum animalis (Fna) is found in the human oral cavity and gut. A distinct clade of Fna is primarily enriched in the tumor microenvironment (TME) and within colorectal cancer (CRC) cells. This clade DNA methylation pattern is primarily catalyzed by a cell-cycle regulated methyltransferase (CcrM) ortholog, M.FnI, that targets the GANTC sequence motif through methyl-6-Adenine (m6A) DNA methylation. We hypothesized that M.FnI enzyme can induce m6A methylation abnormalities in CRC cells to promote cancer progression. Evidence for endogenous …

A Tractable Nematode Model For The Emerging Fungal Pathogen, Candida Auris, Melissa Martinez

Dissertations and Theses (Open Access)

Candida auris is an emerging multidrug-resistant opportunistic fungal pathogen. It

poses a significant threat to immunocompromised patients and those with prolonged stays in

healthcare facilities. C. auris spreads rapidly in health care facilities through enhanced

colonization of skin and abiotic surfaces. The genetic factors contributing to this ability and to

the virulence, drug resistance, and stress-tolerant nature of C. auris are largely unknown.

Current animal models of C. auris infections are not well standardized and report conflicting

results. Additional animal models of virulence are needed, especially those amenable to high-

throughput analysis. The nematode Caenorhabditis elegans has been validated as …

Targeting Breast Cancer Brain Metastasis Through Novel Combination Of Fda-Approved Orally Active Blood-Brain Barrier Permeable Ret And Tgli1 Inhibitors, Joshua Cha

Dissertations and Theses (Open Access)

Breast cancer is the most diagnosed cancer in American women, and breast cancer brain metastasis (BCBM) exhibits the worst prognoses with a life-expectancy averaging at 6 months. This short life expectancy is largely attributed to the lack of effective treatment. Many challenges remain unsolved, including the limited number of actionable targets for targeted therapy and effective blood-brain barrier (BBB) permeable drugs that are safe without promoting drug resistance. Therefore, there is an urgent call for identification of novel therapeutic targets and development of BBB-permeable drugs. One of the potential targets identified by our lab for BCBM targeted therapy is the …

Pattern Dynamics And Stochasticity Of Brain Rhythms And Spike Trains In A Tauopathy Mouse Model Of Alzheimer’S Disease, Clarissa M. Hoffman

Dissertations and Theses (Open Access)

Systems neuroscience posits that every aspect of perceived physical reality, every aspect of animal and human behavior, and every cognitive phenomenon emerges from patterns of neuronal activity. While most researchers embrace this idea, there are major difficulties in describing and analyzing these complex neuronal dynamics—spike flows produced by cells ensembles, synchronized extracellular field oscillations, and other patterns—which limits our understanding of how the activity of individual neurons and the whole-animal cognition and behavior might be connected. In particular, we lack the approaches and even the semantics for connecting the individual cell outputs and the integrated results of their activity. Current …

Characterization Of Staphylococcus Aureus Clinical Isolates From Deep Musculoskeletal Infections For An In Vitro Biofilm Model For Phage Therapy, Raquel C. Luna

Dissertations and Theses (Open Access)

The rise of multidrug-resistant (MDR) infections is a growing concern in the treatment of deep musculoskeletal infections (MSKIs) and orthopaedic device-related infections (ODRIs). Staphylococcus aureus is responsible for about one third of these infections due to its strong biofilm forming capacity, presence on human skin, and the large number of antibiotic-resistant variants. Bacteriophage (phage) therapy is now being considered as a treatment for MDR MSKIs/ODRIs. We are investigating the use of phage encapsulated into or adsorbed onto biodegradable microspheres for local delivery to the site of these MDR infections. We determined that the anti-staphylococcal phage K effectively lyses the S. …

Technical Development, Optimization, And Clinical Implementation Of Quantitative Magnetic Resonance Imaging Methods For Radiation Oncology, Lucas Mccullum

Dissertations and Theses (Open Access)

Magnetic resonance imaging (MRI) has gradually grown more important in the field of radiation oncology. This paradigm shift has grown from initial experiments with MRI of cancerous lesions in the early 1970s, to the integration of MRI images for radiation therapy treatment planning (i.e., MRI-Simulation) in the early 1980s, to the combined MRI linear accelerator (MR-Linac) becoming commercially available in 2018 which can simultaneously image a tumor and treat it with radiation. However, due to its novelty in radiation oncology, its full potential for the integration of quantitative MRI-based biomarkers has yet to be fully realized.

Therefore, this dissertation will …

From Antigen Presentation To Tumor Control: Mechanisms Of Type I Conventional Dendritic Cell-Based Cancer Vaccines, Josue E. Pineda

Dissertations and Theses (Open Access)

Type 1 conventional dendritic cells (cDC1s) are important for generating and sustaining antitumor immunity. Accordingly, the abundance of cDC1s in human tumors correlates with improved outcomes in cancer. Capitalizing on this role, we previously demonstrated that vaccination with in vitro-derived murine cDC1s elicits durable tumor control in multiple preclinical models; however, the immunological mechanisms underlying the efficacy of cDC1 vaccination remain unclear. Here, we examined whether in vitro-derived cDC1s resemble tumor-infiltrating DC populations and whether MHC-I and MHC-II antigen presentation contribute to cDC1-mediated tumor control following vaccination in melanoma.

As expected, MHC-I- or MHC-II-deficiency had minimal impact on …

Membrane Organization Of Rheb And Rhoa: Roles In Function And Allosteric Druggability, Chase M. Hutchins

Dissertations and Theses (Open Access)

Small GTPases of the Ras superfamily are membrane-bound molecular switches that regulate nearly all major cellular processes, and their dysregulation drives cancers, neurological disorders, and metabolic diseases. While anchored to cellular membranes, the catalytic domains of small GTPases undergo orientation dynamics, adopting distinct configurations that can occlude or expose effector-binding surfaces and modulate signaling output. These dynamics have been characterized in the Ras oncoproteins, but whether they extend across the superfamily and influence allosteric druggability has remained unknown.

In this dissertation, I address these questions through Rheb and RhoA, two small GTPases with complementary differences in subfamily lineage, membrane localization, …

Platelet Gαz Regulates Ovarian Tumor Growth And Mediates The Effects Of Chronic Stress, María G. Torres Carrizalez

Dissertations and Theses (Open Access)

Ovarian cancer is the most aggressive gynecologic cancer, with 12,450 estimated deaths in 2026. Elevated platelet counts are commonly observed in patients with ovarian cancer and are associated with enhanced tumor growth and poor prognosis. Patients with ovarian cancer are frequently exposed to elevated levels of stress, which has been correlated with accelerated disease progression and increased mortality. Interestingly, the platelet Gαz protein is activated by epinephrine through the α2A-adrenergic receptor, suggesting a potential mechanistic link between stress signaling and platelet-driven tumor progression. To investigate this, I evaluated the role of platelet Gαz in ovarian cancer using control (Gz^{fl/fl …}

Understanding Epigenomic Landscapes In Cancer Progression And Immunotherapy Response, Jonathan Schulz

Dissertations and Theses (Open Access)

Nonmutational epigenomic reprogramming has emerged as a key hallmark of cancer that plays crucial roles in tumor evolution during its progression and response to therapy. However, the extent and nature of epigenomic reprogramming remains poorly understood. This dissertation examines how epigenetic regulation shapes cancer progression and response to immunotherapy. Working at the intersection of cancer biology and computational genomics, it develops analytical frameworks for characterizing chromatin structure and DNA methylation across diverse tumor contexts and uses these frameworks to address two complementary biological questions: how promoter-associated chromatin organization varies across cancer types, and how epigenetic perturbation modulates tumor immunogenicity in …

Screening For Hypertension And Diabetes In Laundromats In The Largest Hispanic-Majority City In The U.S, Nicholas A Mccann, Vanessa Schick, Jack Tsai

Faculty, Staff and Student Publications

Purpose: This study aimed to assess the prevalence of hypertension and diabetes among laundromat users in San Antonio, Texas, and explore laundromats as a novel setting for health interventions regarding these 2 conditions.

Design: This descriptive, cross-sectional study involved demographic, blood pressure and HbA1c screenings to assess the health status of laundromat users.

Setting: The study took place in 7 laundromats in low-income areas of San Antonio.

Subjects: A total of 150 adults aged 18 and older who regularly used the laundromats and spoke either English or Spanish were eligible to participate.

>Measures: Hypertension was defined as a systolic BP …

An Integrated Framework For Early Detection And Transmissibility Assessment Of Emerging Variants In Wastewater, Xingwen Chen, Tin Phan, Wei Lin Lee, Katie Clark, Steven F Rhode, Samantha Brozak, Bruce Pell, Tsultrim Palden, Mats Leifels, Anna Gitter, Yang Kuang, Stefan Wuertz, Janelle Thompson, Kristina D Mena, Eric J Alm, Fuqing Wu

Faculty, Staff and Student Publications

Tracking the emergence of new viral variants is critical for epidemic preparedness, but remains challenging because variants typically circulate at low prevalence during the early phase of outbreaks. Here, we present an integrated framework that combines sensitive variant detection in wastewater with quantitative assessment of transmissibility through dynamic epidemic modeling. Using the SARS-CoV-2 Omicron variant as a proof of concept, we developed a novel nested allele-specific RT-qPCR assay (NAS-PCR) that achieved a thousand-fold increase in sensitivity compared with allele-specific RT-qPCR (limit of detection: 0.5 copies/μl). NAS-PCR detected Omicron in wastewater samples from the Greater Boston area starting in September 2021, …

Introduction To The Special Issue On Computer Modeling For Future Communications And Networks, Wenbing Zhao, Pan Wang

Electrical and Computer Engineering Faculty Publications

No abstract provided.

Financial Technology And Household Wealth, Rongbo Zhou

Dissertations and Theses Collection (Open Access)

With the spread of mobile payment platforms in China, the micro-foundations of household financial behaviour have been reshaped, and this change is increasingly reflected in household property income. Based on microdata from the China Household Finance Survey (CHFS) for 2015, 2017, 2019, and 2021, this dissertation examines how mobile payment use affects household property income, through which channels this effect is transmitted, and how its impact differs across household groups, regional conditions, and macro-financial environments.

The empirical results show a positive association between the use of mobile payment platforms and household property income. This conclusion remains robust after controlling for …

An Empirical Study On The Impact Of Eco-Friendly Selling Points On The Purchase Intention Of Young Chinese Consumers, Yang Liu

Dissertations and Theses Collection (Open Access)

Industry consumer research widely portrays Generation Z as an identity-driven cohort that enacts sustainability values through consumption. This narrative is often generalized across cultural contexts, assuming that Western-developed green consumption frameworks can be directly transferred without structural modification. Yet Chinese Gen Z’s e-commerce purchase patterns depart notably from this depiction, raising core questions: Can Western green consumption frameworks be applied to Chinese Gen Z? If so, what theoretical and structural adaptations are necessary?

This dissertation develops and tests an integrated three-pathway model to explain green purchase intention among Chinese Gen Z consumers. The model places utilitarian benefits, self-expression benefits, and …

A Multiple Case Study Of Place-Based Promise Programs, Chad Edward Inabinet

Dissertations

This qualitative multiple case study examines three place-based Promise Programs situated in Midwestern community colleges to understand how they are designed, implemented, and experienced by staff and students. Guided by General Systems Theory, data are collected from program documents, archival sources, and 13 interviews with staff and students across three sites. Within- and cross-case analyses explore program origins, design features, partnerships, student supports, financial sustainability efforts, and outcome tracking. Findings show that: funding models shape eligibility and long-term stability; partnerships with K–12 districts, colleges, funders, and community organizations are essential for implementation; proactive supports, such as advising and mentoring, improve …

Learning About The Direct Experiences Of Very Young Children With Hearing Loss: A Feasibility Study, Jenni M. Funk

Undergraduate Honors Capstone Projects

We aimed to explore the feasibility of employing a developmentally appropriate, modified puppet interview method to elicit thoughts and perspectives directly from very young children (ages 3 to 6 years old) who are deaf or hard-of-hearing. Little is known about the direct experiences of children with hearing loss, making it difficult to improve care. In our field of speech and hearing sciences, there is no current method of gathering direct experiences of young children and placing them at the center of care. We proposed that researchers may be able to learn about the direct experiences of very young children who …

Jerry Day, Daniel Holzmna

Student Theses

The life and times of California's oldest erotic bakery.

Enhancing Reliable Performance Of Microgrids With Autonomous Control Of Distributed Energy Resources, Sahand Liasi

All Dissertations

This dissertation presents a comprehensive investigation into enhancing the reliability, efficiency, and autonomous operation of modern power networks through advanced microgrid integration and control strategies. The research addresses critical challenges across three interconnected domains: microgrid control, thermodynamic modeling of heat recovery system (HRS), and optimal distribution network reliability.

In the realm of microgrid control, this work introduces novel methodologies for grid forming inverter-based resources (IBRs). A significant contribution is the development and validation of an "Auto Frequency Change" controller, which drastically reduces microgrid synchronization time with the main grid from several minutes to approximately four seconds, with theoretical potential for …

Development And Validation Of The Ampere Scale: Measuring Adaptive And Maladaptive Perfectionism In Engineering Students, Haleh B. Brotherton

All Dissertations

Perfectionism refers to the inclination to set very high expectations for oneself, which can at times encourage personal development and at other times lead to stress and a sense of pressure. Perfectionism is widely observed among engineering students; however, instruments that distinguish adaptive striving from concern-driven tendencies in the engineering context remain limited. My study is based on the development and validation of the AMPERE (Adaptive and Maladaptive Perfectionism in Engineering) scale through a three-phase process: (I) expert review with two domain experts to establish content validity; (II) cognitive interviews with seven undergraduates to refine wording and interpretability; and (III) …

Generative Ai Of Breast Cancer Progression In Gene Expression Space, Xusheng Ai

All Dissertations

Breast cancer is one of the most common and deadly cancers in the world. Although doctors can use gene activity data to better understand different types of breast cancer, it is still difficult to identify the most important genes and to track how the disease changes over time. This is partly because gene data are very large and complex.

This dissertation develops a computer-based framework to study breast cancer using gene expression data. The work focuses on three goals: creating realistic synthetic gene data, identifying important genes linked to cancer, and modeling how breast cancer changes from normal tissue to …

Why Families Stay Or Leave: Experiences In Spanish-English Dual Language Immersion Programs, Rachel L. Hall

All Dissertations

Many school districts across the United States offer dual language immersion (DLI) programs where students learn academic content in two languages, most often English and Spanish. These programs are designed to help students become bilingual and biliterate while also building cultural awareness and appreciation. Although DLI programs continue to grow in popularity, less is known about why some families stay in these programs while others choose to leave. This study examined enrollment and retention patterns in Spanish-English DLI programs in a suburban school district in North Carolina. Using a mixed methods approach, the study combined district enrollment data, parent surveys, …