Digital Commons Network^™

Comparative Genomics Across Ganoderma Species To Identify Secondary Metabolite Clusters With Cytotoxic Properties, Fatima Muhammad, Maya Pasapuleti, Emily Abraham, Navya Mysore

Undergraduate Student Symposium

Fungi in the genus Ganoderma have been widely studied in Chinese culture for their medicinal properties and promoting overall health and longevity. Our prior work on eight Ganoderma species showed that they contain Secondary Metabolite Clusters (SMCs) that code for multiple terpenes, betalactones, and ribosomally synthesized and post-translationally modified peptides (RiPPs). These compounds are well known for their cytotoxic and anticancer potential. Using the bioinformatics platform antiSMASH, we previously identified and annotated the specific SMCs within these genomes that are predicted to produce such bioactive metabolites. To test the results obtained from the bioinformatics analysis, fungal extracts were prepared from …

Developing A Novel Protocol To Isolate Mitochondria From The Cnidarian Aiptasia Pallida For Bioenergetic Studies , Chelsea Nguyen, Kiran Sajnani

Undergraduate Student Symposium

The symbiotic relationship between cnidarian hosts and photosynthetic dinoflagellates relies on a dynamic exchange of metabolites between key organelles including chloroplasts and mitochondria. Understanding how temperature affects this exchange is pivotal to determine its role in metabolic dysbiosis, but methodological challenges in isolating mitochondria from cnidarian tissue must be addressed. The aim of this project is to develop a reproducible homogenization and isolation protocol of mitochondria from the upside-down sea jelly Cassiopea xamachana, to be used as a model for subsequent bioenergetic studies. Mesogleal tissue from laboratory acclimated C. xamachana was finely minced, and several mechanical homogenization methods were …

Passion Versus Predisposition: How Engagement, Personality, And Trait-Anxiety Predict Homesickness, Bala Sivani Padala, Porsha Adoghe, Alyssa Harris

Undergraduate Student Symposium

Homesickness is a prevalent condition affecting many college students. Several factors contribute to homesickness, including, but not limited to, adjustment difficulty, missing family and friends, rumination, and loneliness. To better understand homesickness, we explored how engagement, anxiety, and personality moderate each factor. Engagement and personality were hypothesized to negatively correlate with homesickness. Trait anxiety was hypothesized to positively correlate with homesickness. We examined these variables by having participants complete a Google form that included questions from four surveys: the Utrecht Homesickness Scale (UHS), the National Survey of Student Engagement (NSSE), the State-Trait Anxiety Inventory (STAI), and the Ten-Item Personality Inventory …

Biomechanical Stress And Asymmetrical Loading: Comparing Unilateral Landings Across Volleyball Hitter Positions, Nihar Patel

Undergraduate Student Symposium

Jump-based movements in volleyball, particularly unilateral landings, generate substantial injury risk to the anterior cruciate ligament (ACL). These landings create asymmetrical ground reaction forces and patellar joint instability, with outside and right-side hitters most affected since they often land on a single leg after spiking. Prior studies show that unilateral landings produce higher peak forces and reduced knee flexion compared to bilateral landings, increasing biomechanical stress. Lead-limb dominance and player position further influence landing mechanics and loading patterns. Using VERT, a wearable sensor that records jump height, frequency, and landing impact, along with synchronized video analysis, this study compares landing …

Mapping Neurobehavioral Outcomes Of Glyphosate Application In The United States Through A Data Science Framework, Parushi Porwal, Sharvani Nune, Japji Madan, Arrin Carter, Mitali Athwale, Aliyah Khan, Roham Hadidchi, Umayyah Ahsan, Junaid Muktadir, Rishi Porwal

Undergraduate Student Symposium

Glyphosate is the most widely used active ingredient in herbicides globally, yet its impact on mental health and neurodegenerative disorders is under-researched. This project developed a data science approach to build a structured database that consolidates evidence of glyphosate exposure and neurological health outcomes, with a primary focus on the United States. A systematic search of scientific databases identified over seventy peer-reviewed studies, primarily U.S.-based with some global representation. Data for six primary health outcomes (depression, anxiety, reported suicide, ADHD, Parkinson's disease, and Alzheimer's disease) were extracted. Each study was reviewed for design type, study location, exposure assessment methods, health …

Pattern Formation In A Β-Amyloid Plaque Model For Alzheimer's Disease , Hannah Prudhomme

Undergraduate Student Symposium

Alzheimer's disease is a neurodegenerative disorder with complex physiological mechanism that are not fully understood. Over 7 million Americans are known to be living with the disease, and an Alzheimer's diagnosis accounts for 60-70% of dementia cases. Current hypotheses attribute the cause to an interplay between β-Amyloid plaques and neurofibrillary tangles, resulting in central nervous system disruption and decline in cognitive functioning. In this project, we study a spatial dynamical system model that incorporates the interaction between β-Amyloid monomers, oligomers, microglia, and interleukins in the context of plaque aggregation. We establish conditions for the existence and stability of a spatially …

Repurposing Nilotinib In A Metabolically Compromised Mouse Model Of Alzheimer's Disease, Maria Ramirez Aleman, Victoria Pullido-Correa, Ariana Hernandez, Chana Vogel, Ana Carvalho, Daniel Lopez, Esperanza Barrios, Katilin Martin, Dylan Kuni, Maria A. Paiz

Undergraduate Student Symposium

Diet-related metabolic disorders, including obesity, prediabetes, and type 2 diabetes, significantly increase the risk of Alzheimer's disease (AD). Despite substantial research, effective disease-modifying therapies remain limited. Nilotinib, a tyrosine kinase inhibitor approved for leukemia, has shown neuroprotective effects in preclinical AD models, including reduced amyloid-β pathology and improved cognition. In vitro studies also suggest nilotinib enhances mitochondrial bioenergetics. However, its efficacy under conditions of metabolic dysfunction remains unclear. This study therefore evaluated the effects of nilotinib in an AD mouse model with diet-induced metabolic impairment. Male and female B6129SF1/J control and 3xTg-AD mice were fed a low-fat (LFD) or high-fat …

The Effects Of Gender Crime Congruency On Jurors' Decisions And Confidence, Elizabeth Avila

Undergraduate Student Symposium

A basic principle of the U.S. court system is that every individual has the right to a fair and unbiased trial. While this is the ideal, it is not always reality. Jurors come in with their own beliefs and attitudes before the trial starts. These preconceived beliefs can jeopardize the integrity of the trial. An example of these beliefs is gender stereotypes. Gender stereotypes can influence a juror's attitude towards a defendant, to either have a more negative or positive view on whether the defendant's gender matched the nature of their crime. This is called gender crime congruency. In this …

A Review Of Reproductive Cycling In Batoid Dentition Morphology With New Data On Two Dasyatid Stingrays From The Western North Atlantic, Lacey Adamik

Undergraduate Student Symposium

Elasmobranchs continuously replace their teeth throughout their lifespan, allowing changes in tooth morphology associated with feeding and reproduction to occur. In many batoid species, males will bite females during pre-copulatory behavior, placing male dentition under selective pressure to meet the demands of both diet and grasping of females. Previous research has documented sexual dimorphism and seasonal dentition changes in several species of batoids, suggesting that this phenomenon is widespread. Much of this research is observation-based, and quantitative studies of dentition are limited, particularly in pelagic species. Pelagic Stingray (Pteroplatytrygon violacea) specimens were previously collected by commercial fishermen, and …

Towards Safer Epirubicin Based Anti-Cancer Treatments, Alanis Malave Carmona, Julian Oliver Bozek, Elizia Jijon, Shivansh Patel, Alvin Binoj, Samuel Dinh

Undergraduate Student Symposium

Epirubicin is a widely used anticancer agent whose mechanism of action (DNA intercalation leading to disruption of the double-stranded helical structure) has been extensively studied. Despite its clinical effectiveness, epirubicin is associated with significant side effects that limit its therapeutic window. In this work, we investigated the interaction of epirubicin with a circular double-stranded plasmid DNA (2686 bp) in the presence and absence of 5-amino-4-imidazolecarboxamide (AIC). Spectroscopic studies combined with a modified Stern-Volmer methodology were used to determine binding constants. The results indicate that stepwise addition of AIC enhances epirubicin intercalation, yielding a higher DNA-epirubicin binding constant compared to epirubicin …

Temperature-Driven Changes In Lysis Kinetics Of Bacteriophages Infecting Gordonia Rubripertincta, Bianca Gonzalez, Jyothi Vivekananda

Undergraduate Student Symposium

Antibiotic resistance represents a significant global health crisis creating a necessity for alternative treatments to combat drug-resistant pathogens. One alternative treatment is bacteriophages, such as those targeting Gordonia rubripertincta, a gram-positive, aerobic actinomycete bacterium which has shown intrinsic resistance to some antibiotics. Furthermore, G. rubripertincta can cause endocarditis and CNS infections in immunocompromised individuals. Phages that successfully target G. rubripertincta (Alyssamiracle, Fribs8, Genamy16, and NovaSharks) have been discovered by NSU students. The phages work in a lytic manner, bursting the bacteria and releasing its viral progeny. The goal of this research was to evaluate the lysis kinetics of these …

Comparison Of Bacteria From Varied Soils With Potential Antimicrobial Activity, Nicole Nesterovitch, Nyobi Fleming, Andrew Sourial

Undergraduate Student Symposium

Antibiotic resistance is increasing at a rate that surpasses the discovery and development of new antimicrobial compounds, creating a widening resistance-innovation gap that poses a global public health concern. To address this need for new antibiotic-producing organisms, we partnered with Tiny Earth, a global initiative that engages students in antibiotic discovery through soil sample collection, bacterial isolation, and antimicrobial screening. We isolated bacteria from local soil in Davie, Florida as well as soil from the White River Badlands, South Dakota with the hypothesis that distinct soil conditions may yield different antimicrobial producers with varied activity and chemical profiles. 42 unique …

Is Left Ventricular Dysfunction Associated With Increased Risk Of Alzheimer's Disease Independent Of Classical Vascular Dementia Pathways?, Priyanshi Patel

Undergraduate Student Symposium

This poster examines the potential connection between left ventricular dysfunction and the risk of Alzheimer's disease in older adults. Studies suggest that reduced heart function may affect brain health by limiting blood flow to the brain, increasing inflammation, and interfering with the brain's ability to clear harmful proteins such as amyloid-β and tau. These processes resemble changes commonly seen in Alzheimer's disease. In population-based studies, individuals with heart failure or structural abnormalities of the left ventricle appear to have a higher risk of developing dementia, including Alzheimer's disease, even after accounting for major risk factors such as hypertension and clinical …

Training Language Models For Bilateral Trade With Private Information, Dirk Bergemann, Soheil Ghili, Xinyang Hu, Chuanhao Li, Zhuoran Yang

Cowles Foundation Discussion Papers

Bilateral bargaining under incomplete information provides a controlled testbed for evaluating large language model (LLM) agent capabilities. Bilateral trade demands individual rationality, strategic surplus maximization, and cooperation to realize gains from trade. We develop a structured bargaining environment in which LLMs negotiate via tool calls within an event-driven simulator, separating binding offers from natural-language messages to enable automated evaluation. The environment serves two purposes: as a benchmark for frontier models and as a training environment for open-weight models via reinforcement learning. In benchmark experiments, a round-robin tournament among five frontier models (15,000 negotiations) reveals that effective strategies implement price discrimination …

A Model For Professional Organization Membership Support: Trust, Commitment, Membership Value, And Relationship Quality Commitment, Shawn F. Clouse, Nader H. Shooshtari, Simona Stan, Liz Kohl

AMTP Proceedings 2026

Members of professional associations join these organizations for reasons that include benefits and services to members, advocacy and lobbying on behalf of members and their interests, networking opportunities, and a sense of community and identification with fellow association members. Members are likely to commit to the association and remain as members to the extent they are satisfied with what the association provides and if they perceive the benefits to exceed the costs (not just monetary) of membership. This survey of members of a professional association investigates the relationship between trust, relationship quality commitment, membership dues value and commitment (normative, affective, …

When Faces Do Not Help: Visual Design And Engagement For B2b Technology Brands On Instagram, Ali Jamei, Sima Sabahi

AMTP Proceedings 2026

Firms increasingly use visual content on social media to connect with customers, yet most evidence on what drives engagement comes from consumer or personal contexts. This study examines how simple visual features in Instagram photos posted by B2B technology brands relate to engagement, interpreted through processing fluency. The dataset contains 600 photos from 30 B2B technology brands. For each image, we record likes and comments, collect brand and post level metadata, and use Microsoft Azure computer vision tools to detect faces, classify their age group and gender, and identify the dominant background color. Negative binomial models show that the presence …

Transactional Platforms Under Goal Duality: Managing Tensions With Coordination Strategies, Nikolina Koporcic, Vesna Damnjanovic, Johan Frishammar, Vinit Parida

AMTP Proceedings 2026

While traditional transaction platforms like Airbnb emphasize economic value creation, some emerging platforms increasingly strive to pursue both economic and social goals. Balancing these dual goals creates tensions, especially in resource-constrained contexts, requiring innovative coordination strategies. Drawing on collective action theory and platform literature, we investigate how four start-up platforms pursuing dual goals manage these tensions. Using case study data from 64 interviews and extensive secondary sources, we identify six core tensions related to mission, user inclusion, scalability, operational control, community engagement, and stakeholder communication. We demonstrate how three key coordination strategies—framing, convening, and multivocality—help alleviate these tensions. Our study …

Consumer Insights About Wood Pellets And The Heating Industry, Marlana Krug, Camille Gagnon, Harrison Synder, Ashton Rounsley

AMTP Proceedings 2026

This study investigates consumer purchasing behaviors and decisions within the wood pellet and heating industry with a focus on Central Pennsylvania. Research examined the decisions behind heating sources, pellet retailers, and pellet vendors. These findings are focused on understanding the purchasing habits of consumers, preferred retailers, and other considerations that influence pellet choice. Gaining an understanding of these purchasing choices and heating options is essential for improving marketing strategies. The Customer Engagement Theory served as the theoretical framework for this research, while the survey used quantitative questions to conduct and gather data on household decision-making.  Overall, the findings highlight the …

Deploying Root-Cause Analysis (Rca) Agents: An Implementation Blueprint For Ai-Augmented Marketing Analytics, Seojoon Oh

AMTP Proceedings 2026

Artificial intelligence is widely adopted in marketing, yet many organizations struggle to translate analytical outputs into timely action. This paper presents a practitioner-oriented blueprint for deploying root-cause analysis (RCA) agents within AI-augmented marketing analytics systems. We propose a three-layer reference architecture—semantic data layer, autonomous RCA agent, and action layer—that enables continuous anomaly detection, causal diagnosis, explanation generation, and recommendation delivery. Through simulated e-commerce use cases, we demonstrate how RCA agents identify performance disruptions such as email engagement declines and checkout failures, and translate diagnostic findings into actionable guidance. Beyond system design, we outline organizational workflows, trust-building validation loops, scalability pathways …

Aiw26s: Machine Learning Of Structured Data, Moumita Saha

Paul English Applied Artificial Intelligence (AI) Institute Publications

This workshop introduces the fundamentals of machine learning for structured data, focusing on tabular datasets and real-world applications. Participants explore key concepts such as data types, data preprocessing, feature engineering, and supervised learning methods. The session covers commonly used models, including linear regression, logistic regression, decision trees, and neural networks, along with evaluation metrics such as RMSE, accuracy, and confusion matrices. By the end of the workshop, participants will have gained a practical understanding of how to build, interpret, and evaluate machine learning models for structured data.

Geography And Environmental Studies Apr 2025 Self-Study Report & Documents, Unm Academic Program Review

UNM Academic Program Review

NM Geography and Environmental Studies APR self-study report, review team report, response report, and initial action plan for AY2025, fulfilling requirements of the Higher Learning Commission.

Exploring System Wide Trust And Dependency Behavior Within An Aviation Environment, Austin Jackson

Psychology Theses & Dissertations

The present study examined the theory of system-wide trust within the context of a multi-tasking aviation environment. Previous research suggested that unreliable automation can negatively affect a human operator’s trust in reliable automation within the same system (Rice & Geels-Blair, 2010). However, previous studies have not looked at how trust develops in the context of a multi-tasking environment, nor how different types of errors may affect trust in and the use behavior of automation. The current study employed a 2 x 2 mixed design with drone reliability (60% reliable vs 90% reliable) and error bias (false alarm vs. miss errors) …

An Integrated Bayesian Network-Based Zero Trust Model To Quantify Cyber Risk In Small-Medium Businesses, Ahmed Abdelmagid

Engineering Management & Systems Engineering Theses & Dissertations

Small-medium businesses (SMBs) play a pivotal role in the worldwide economy as they constitute the most considerable portion of businesses in developed countries like the UK and the US. As such, SMBs are likely targets of cybercrimes by malicious agents because of their vulnerable IT systems. The digital infrastructure of SMBs is more likely to be hit by cyberattacks than large businesses due to many factors that facilitate hackers’ missions. These factors include a limited financial budget devoted to cybersecurity, a lack of knowledge, an underrating of how dangerous cyber threats are, and a shortage of IT expertise. The enormous …

Shadowrunning The Human: Harebrained Schemes' Shadowrun Series And Transhumanism, Alexander P. Orelup

English Theses & Dissertations

I argue that Harebrained Schemes’ video game series Shadowrun critiques transhumanism in three distinct yet related ways: in terms of religion, political control, and identity capitalism. In doing so, Shadowrun attempts to counter claims that video games are an inherently transhumanist medium and provides an opportunity for players to resist a potential transhuman future. This further elucidates the trends and perceptions of transhumanism within American culture around the time period. I utilize a variety of methodologies in my argument, ranging from cultural studies, narratology, ludology, and close reading in order to grasp all of the audio-visual and gameplay elements that …

Examining The Impact Of Restorative Practices On Student Behavior, Discipline, And Relationships In A K–5 Elementary School, Kathleen Tomaszewski

Dissertations

This study examined the implementation of restorative practices in a K–5 elementary school and their influence on student behavior, disciplinary actions, and teacher–student relationships. Restorative practices in schools focus on building a positive school climate and addressing student behavior through community and relationship-building rather than punitive measures. The rationale for the study was grounded in concerns regarding the use of exclusionary discipline practices and the need for proactive, student-centered approaches to improving school climate. Two main research questions guided the inquiry: To what extent do restorative practices impact student referrals and disciplinary actions in a K-5 elementary school? How do …

Workforce Resilience In Public Transportation Agencies, Kristal D. Metro

Civil Engineering ETDs

A strong, resilient public workforce is necessary to keep the United States’ infrastructure system running smoothly. Across the public sector, hiring is lagging behind increasing retirement rates, leaving public agencies facing the loss of institutional knowledge at unprecedented levels. Combined with above-average retirement rates, low unemployment rates, and below-average salaries, workforce shortages are expected to become critical, putting the resilience of the public transportation workforce, and by extension, the United States public infrastructure and services at risk. The purpose of this research is to determine the best practices for recruiting and retaining employees at public transportation agencies, thereby positively influencing …

Bridging Mission And Execution: Integrating Participatory Design In Early-Phase Mission Engineering For Stakeholder Alignment And Mission Clarity, Rafi Soule

Engineering Management & Systems Engineering Theses & Dissertations

This dissertation develops and evaluates an integration-centered approach to early-phase Mission Engineering that improves mission clarity under ambiguity. Stakeholder interpretations diverge, and interoperability constraints are not surfaced early. These conditions reduce mission clarity and weaken mission-to-system mapping readiness. The dissertation proposes an integration-centered approach that strengthens early mission framing through two complementary mechanisms: (1) a participatory design-inspired, artifact-first workflow that surfaces and repairs interpretation divergence, and (2) closed-corpus, RAG-enabled retrieval that grounds mission-to-system mapping in traceable evidence. The study was organized around a construct spine linking shared understanding, stakeholder alignment, and interoperability feasibility to mission clarity. A three phase mixed-methods …

Modeling Early Indicators For Success In An Associate Degree In Nursing Program, Joseph D. Moss

Educational Leadership & Workforce Development Theses & Dissertations

Persistent nursing workforce shortages across the United States have increased the importance of Associate Degree in Nursing (ADN) programs as primary entry points into the profession. Community colleges prepare a substantial portion of the nursing workforce; however, attrition within ADN programs limits the number of graduates entering practice. Understanding factors associated with academic performance and program completion is essential for strengthening nursing education pathways and supporting workforce development. The purpose of this quantitative study was to examine early academic and sociodemographic factors associated with successful completion of an ADN program at a suburban community college.

Guided by Becker’s Human Capital …

Downstream Effects Of Post Aerobic Digestion And Divalent Cation Treatment: Dewaterability, Phosphorus Mitigation, And Process Odors, Maya Marisol Quijano Garcia

Civil & Environmental Engineering Theses & Dissertations

This study evaluated post-aerobic digestion (PAD) with aeration, mixing, and divalent cation addition to improve phosphorus capture, dewaterability, and odor control in thermal hydrolysis process (THP)–treated anaerobic digestate at the Hampton Roads Sanitation District’s Atlantic Treatment Plant. A three-day PAD process was operated under constant air flow (5 LPM) and dissolved oxygen (DO)-setpoint (0.2 mg/L) aeration conditions with Ca(OH)₂ or Mg(OH)₂ dosing. Aeration and mixing alone increased polymer demand by 14–46 % relative to untreated influent, indicating enhanced extracellular polymeric substance release. Chemical conditioning partially mitigated this increase but did not restore polymer demand to baseline levels. Dewatered cake total …

Swimming Behavior Of Longfin Squid Doryteuthis Pealeii Paralarvae: Escape Jets To Pirouettes, Mel Lhuillier

Biological Sciences Theses & Dissertations

Upon hatching, squid paralarvae must become proficient at locomotion and prey capture before their yolk reserves are depleted, while also contending with the physical constraints associated with low/intermediate Reynolds number (Re) environments. Although some aspects of behavior and jet dynamics have been examined in squids during early ontogeny, little is known about routine behaviors in paralarvae, whether repeatable patterns are employed, or how these behaviors are achieved dynamically. To better understand swimming behaviors and the propulsive flows that drive them in paralarvae, high-speed video data and digital particle image velocimetry (DPIV) data were collected simultaneously from longfin squid Doryteuthis pealeii …