Digital Commons Network^™

Is Political Information Over Facebook Credible? A Look At The 2020 Presidential Election, Kristina Harrison, Shawn Thelen, Boonghee Yoo, John B. Ford

Journal of Applied Marketing Theory

Much controversy still exists surrounding the events before, during, and after the 2020 U.S. presidential election. Some of this is attributable to voters’ uncertainty, driven by conflicting messages transmitted over social media, about the credibility of information surrounding the candidates and election results. Examining data collected shortly before the 2020 election, this study investigates how consumers perceive political information presented on Facebook. Drawing from Source Credibility Theory and the Elaboration Likelihood Model (ELM), the research tests a model that includes medium dependency, medium interactivity, information quality, information presentation, personal expertise, and power perception. Data from 407 participants were analyzed using …

Comments From The Editors, Tulay Girard, Brian Whelan

Journal of Applied Marketing Theory

Comments from the Editors

Dual-Stage Ultrasound Application For Rice Bran Protein Extraction: A Novel Method To Improve Yield, Functional Properties, And Nutritional Profile, Saydul Md Safwa, Nikitha Modupalli, Md Mahfuzur Rahman

Food Science Faculty Publications and Presentations

While ultrasound-assisted protein extraction is well-studied, the application of ultrasound in both the extraction and precipitation stages has not been explored. This study explored the ultrasound (U)-assisted alkaline extraction (AE) at pH 9.5 and ultrasound-assisted isoelectric precipitation (UIP) at pH 3.5 on the rice bran protein yield, functionality, and nutritional quality. The UAE and conventional precipitation (UAE-IP) yielded the highest protein yield of 65.7 %, while conventional extraction yielded 38.9 %. FTIR showed that UAE-IP increased beta-sheets by 96.8 % while AE-UIP decreased the alpha-helices by 42.4 %. Although UAE-IP showed no significant change in surface hydrophobicity, UAE-UIP decreased it …

The Role Of Apparel In College Student Athletic Affiliation, Robin Hardin, Michelle L. Childs

Journal of Applied Marketing Theory

Athletics is often considered the virtual front porch of a university, as it is often the most recognizable aspect of a college or university. This study examines how college students use apparel to affiliate with their university’s athletic brand. Results revealed three key factors influencing athletic-related merchandise preference: fashionable appeal, uniqueness, and official merchandise. Further analysis found that merchandise featuring official logos, colors, and recognizable branding elements significantly enhances consumers’ ability to associate with the university’s athletics brand. Gender differences emerged in preferences for fashionable items, with men showing greater interest. These findings provide valuable insights for marketers and university …

Decoding The Dynamics Of Ceo Sociopolitical Activism And Stakeholders’ Response, Nayyer Naseem, Yuqi Wang, Faraz Moin

Journal of Applied Marketing Theory

Business leaders today function as powerful symbolic figures whose sociopolitical stances can transform consumer loyalty, investor confidence, and organizational stability. This study decodes how stakeholders interpret executive actions and respond through behaviors such as boycotts, divestment, or heightened advocacy, highlighting both short and long-term consequences. Drawing on signaling, stakeholder, social identity, social influence, intrinsic motivation, and reputational risk theoretical frameworks, this study develops a four-stage interpretive model that links leadership behavior to stakeholder perceptions, reactions, and market outcomes within varying contextual and environmental conditions. Through a case-based analysis, it illustrates how CEO stance, media framing, and ideological alignment shape these …

Learning From Unique Approaches And Challenges, Kathryn L. Haughney, Jeongae Kang, Aftynne E. Cheek

Journal of Case Learning & Exceptional Learners

No abstract provided.

Public Defender Discretion, Alma Magaña

Articles

A focus of criminal legal system reform efforts has been the curtailment of police, prosecutorial, and judicial discretion, which has been criticized for its arbitrariness and its contribution to racial, class, and gender disparities. However, one system actor has largely escaped similar scrutiny: public defenders, who, by grant of authority from ethical rules of practice and Supreme Court jurisprudence, have significant decision-making authority in the cases of indigent persons charged with crimes.

This Article will, for the first time, explore the historical rationale for giving public defenders the power to make life-altering decisions for their clients. Specifically, it dissects the …

Short-Arc Angles-Only Initial Orbit Determination For Leo And Geo Objects Using A Genetic Algorithm, Joseph R. Piini

Master's Theses

An ever-growing interest in utilizing space for scientific, commercial, and defense applications has led to an exponential rise in orbital debris recent years. With this sharp increase in space objects comes a greatly increased risk of potential collisions, necessitating an increase in Space Situational Awareness. In order to best mitigate the risk of future collisions in an increasingly congested space environment, it is crucial to be able to accurately determine the orbits of these new objects for trajectory tracking. This process is initial orbit determination (IOD), and is especially difficult when only observation angles are available for short observation times. …

Forecasting Floral Demand To Reduce Operational Cost And Optimize Production, Mackenzi Saleh Mehlberg-Smith

Master's Theses

The floral industry faces rising operational costs, increasingly strict environmental regulations, and high market volatility, all of which threaten the sustainability of flower production. Accurate demand forecasting and production planning are therefore critical to minimize waste and reduce costs while maintaining competitiveness.

This thesis develops mathematical models for optimization, forecasting, and production planning in the floral industry, extending recent work on production planning and trapezoidal demand modeling. We integrate time-series forecasting methods with optimization techniques from production planning and operations research to model both short-term demand fluctuations and medium-term capacity constraints. The mathematical framework links linear and nonlinear optimization, time-series …

Accelerating Relationship Discovery In Chronic Lower Back Pain Through Knowledge Graph And Ontology Enhanced Large Language Models, Damon Lin

Master's Theses

Chronic lower back pain (cLBP) is a widespread public health burden linked to anxiety, depression, and opioid addiction. Interventions aimed at treating cLBP have shown minimal improvements in pain outcomes, leading researchers to reexamine our understanding of cLBP through constructing a causal model. However, constructing causal models through Randomized Controlled Trials are often unfeasible, and relying on domain expertise requires extensive and time-consuming research, posing a serious bottleneck for designing effective treatments. To accelerate this process, we apply Knowledge Graphs, Ontologies, and Large Language Models (LLMs) to aid researchers in determining possible causal relationships. First, we demonstrate how LLMs can …

Dynamic Modeling And Simulation Of A Power Generation Steam Rankine Cycle For A Fluoride Salt-Cooled High-Temperature Reactor Nuclear Power Plant, William R. Ton

Master's Theses

Nuclear Fluoride Salt-Cooled High-Temperature Reactors (FHRs) have the potential to greatly improve nuclear technology in terms of safety and cost. By combining molten salt coolant technology from the Molten Salt Reactor (MSR) and TRISO fuel technology from the Very High Temperature Gas Reactor (VHTR), FHRs may operate at significantly lower pressures than Light Water Reactors (LWRs) and with a more robust fuel source that is excellent at containing fission products. However, as no FHR has been built, there are still many design questions to address. This thesis uses transient computer modeling and simulation to investigate how an FHR could potentially …

A Comparative Evaluation Of Feedback Strategies For Enhancing Student Software Test Suite Writing Outcomes, Ashton Alonge

Master's Theses

Background and Context

Software testing is a fundamental component of computer science education, forming the basis for students’ ability to ensure program correctness and reliability. Despite its importance, many students struggle to design test cases that effectively expose faults and achieve meaningful test coverage. Traditional instructional approaches often emphasize code coverage metrics such as line or branch coverage, but these metrics may not adequately capture the quality of student tests. Mutation analysis, which measures how well tests detect small, artificial faults (mutants) introduced into the program, offers a potentially richer measure of test effectiveness. However, little is known about how …

Real Time Markerless 3d Hand Tracking For Intuitive Robotic Arm Control, Dylan G. Featherson

Master's Theses

This thesis presents a real-time, markerless motion-capture system for intuitive control of a multi-degree-of-freedom robotic arm. Using two synchronized RGB cameras and stereo-vision triangulation, the system reconstructs the three-dimensional position of a user’s hand without the need for physical markers or wearable sensors. The reconstructed 3D coordinates are mapped directly to the end-effector position of the Quanser QArm, a four-degree-of-freedom educational manipulator. Developed entirely in Python, the system integrates stereo camera calibration, 3D hand tracking with MediaPipe, coordinate transformation, and inverse kinematics into a unified real-time control pipeline operating at approximately 200 Hz. Calibration is performed through a checkerboard-based stereo …

Generalized Detection Of Animal Behavior Using Accelerometers, Alexander J. Arrieta

Master's Theses

Animal mounted sensors are becoming increasingly used to passively monitor both domestic and wild animals. Advances in lightweight accelerometer and GPS technology have allowed many animals to be fitted with high accuracy sensors for extended periods of time. This leads to new opportunities to study animal behavior without direct observation. However, interpreting the raw data is difficult due to the high volume and missing context of the information. Machine learning techniques excel at extracting information from raw data streams and are excellent candidates for processing the sensor data. However, due to large variance in how different animals execute the same …

Predicting Newsworthiness Of California Bill Discussions, Venkata Kedarnath Chaturvedula

Master's Theses

Among various California bill hearings, it is crucial to identify which hearings are most likely to receive media coverage, as this highlights the importance of the bill and the hearing, while also underscoring its societal impact. Digital Democracy, established at Cal Poly’s Institute for Advanced Technology and Public Policy, provides users access to a distinctive dataset and information about state legislative committee hearings, hearing transcripts, assets, bill information, etc.

This thesis presents a machine learning framework for predicting whether California legislative bills are likely to receive media coverage. Drawing on a dataset of legislative ”tip sheets” provided by Digital Democracy …

Analyzing Patterns In Hofstede’S Cultural Dimensions Towards Individual Ai Receptiveness For Affective Experiences, Maggie Yang

Master's Theses

The use of artificial intelligence (AI) has significantly advanced efficient decision-making, with trust in algorithmic decisions shown to vary by cultural upbringing [1]. As AI becomes increasingly embedded in everyday life, it is essential to examine how cultural values affect trust in AI in subjective contexts that extend beyond purely quantitative analysis, like the personal interpretation of art. This work utilizes Hofstede’s cultural dimensions to investigate potential patterns in receptiveness towards AI predictions during art interpretation, providing insight into individual susceptibility to bias in AI-assisted affective analysis.

The study leveraged a cultural dimension survey and a custom Java program connected …

Origami-Inspired Pneumatic Soft Robotic Gripper, Conor J. Schott

Master's Theses

This thesis presents the design and evaluation of a vacuum-actuated, origami-based soft robotic gripper. A custom Sea Urchin crease pattern forms a lightweight folding skeleton that collapses radially under vacuum. The system emphasizes low cost and accessibility through laser cutting, 3D printing, and silicone molding. The Sea Urchin geometry was selected after digital and physical screening of candidate crease patterns for smooth folding, low strain concentration, and uniform inward motion. The folding skeleton is laser cut from 4 mil drafting film and folded into a compliant core. Four membrane configurations were developed: an origami gripper with a 36-inch balloon (Design …

Per- And Poly-Fluoroalkyl Substances Fate Across California Wastewater Treatment Plants: A Meta-Analysis Of Formation, Distribution, And Persistence, Elizabeth Reineke

Master's Theses

Per- and poly-fluoroalkyl substances (PFAS) are persistent contaminants that move through municipal and industrial wastewater systems with limited attenuation. As a result, they are increasingly detected in drinking water supplies. Despite growing regulatory concern, a systems-level understanding of PFAS behavior across multiple treatment facilities and watershed settings remains incomplete. This study compiled influent, effluent, and biosolids datasets from more than one hundred California wastewater treatment plants to evaluate PFAS occurrence, transformation, and partitioning across diverse treatment configurations. Analytical steps included calculating removal efficiencies, assessing precursor-to-product oxidation, evaluating co-contaminant correlations, and grouping facilities by process design to quantify configuration-specific fate patterns. …

Building Roads To Engagement: A Survey Of Post-Secondary Community Engagement Education In Transportation, Meghan E. Kolin

Master's Theses

Community engagement is a critical part of the urban planning process for both academics and practitioners, but transportation planning’s significant technical knowledge requirements and focus on special interest groups make such engagement difficult. As such, college- and graduate-level transportation planning programs must include significant education about public participation practices. However, little research exists regarding how community engagement is taught in these programs or how well this education prepares students for real-world practice. This research is aimed at filling this gap by answering two questions: first, how transportation-focused post-secondary programs in the United States conduct community engagement education; and second, whether …

Hallucination Techniques For Self-Supervised Synthetic Datasets For Mobile Robots, Wyatt D. Colburn

Master's Theses

Classical techniques in autonomous navigation struggle in tightly constrained spaces. Machine learning has been shown to perform better in these difficult environments but most techniques require large amounts of navigation experience for training. Using a new machine learning paradigm learning from hallucination (LfH), training data can be collected in a safe environment and not require supervision. Data is collected in real time while an agent performs a random walk in free space, supervision is not required as there are no obstacles for the robot to run into. After a random walk a post processing pipeline will hallucinate a safety corridor …

Birds In Changing Landscapes: Community Diversity And Breeding Phenology, Lindsay Peria

Master's Theses

Humans are altering the environment in varied and widespread ways. Increasing urban and agricultural development causes changes to habitat and resource availability as well as changes to the sensory environment via light and noise pollution. Climate change also causes more extreme temperature anomalies, storms, and droughts that challenge birds in a multitude of ways. In this thesis, we assessed these impacts of these changes on a local and continental scale. In the first chapter, we assessed the impact of natural, anthropic, and structural characteristics of viticultural land on both taxonomic and structural avian diversity. Loss of habitat from agriculture is …

Associations Between Feed Efficiency And Feeding Behavior In Yearling Angus Bulls In A Competitive Environment, Amelia Katz

Master's Theses

Feed efficiency in beef cattle is a complex trait shaped by physiological, behavioral, and social factors that influence how animals access and utilize feed resources. This study examined feed efficiency classification and how it is influenced by feeding behavior, competitive interactions, and bunk approach patterns in yearling Angus bulls housed in a drylot over two years. Bulls were grouped into high and low feed efficiency categories using residual feed intake and feed conversion ratio within pen and year (n = 40 per year; n = 40 per treatment). Continuous electronic monitoring quantified feeder visitation, feeding duration, intake, and rate. A …

Serum Concentrations Of Inflammatory Markers And Selected Nutrient Metabolites In Holstein And Jersey Cows Across The Transition Period, Avery Orr

Master's Theses

The transition period, spanning the weeks surrounding parturition, requires dairy cows to undergo synchronized metabolic, endocrine, and immunological adjustments that support the onset of lactation but also heighten disease susceptibility. Although individual inflammatory or metabolic biomarkers have been extensively studied, the integrated immunometabolic dynamics that occur across this period and the difference between breeds is not fully understood. The objective of this study was to characterize longitudinal patterns in key nutrient metabolites and inflammatory markers in Holstein and Jersey cows and assess how these systems interact across the transition period.

A total of 63 Holstein and Jersey cows were sampled …

Testing For Local Adaptation In Sympatric Monkeyflowers Growing In Serpentine Seeps And Adjacent Rock Outcrops, Avin Niknafs

Master's Theses

Divergent selection across heterogeneous environments can drive ecological differentiation and the evolution of locally adapted populations, even when gene flow occurs. We tested for local adaptation between two sympatric monkeyflowers, Erythranthe guttata and E. serpentinicola (formerly Mimulus), which co-occur on the central coast of California. Erythranthe guttata is a perennial species primarily found in moist serpentine seeps, whereas E. serpentinicola is an annual species restricted to adjacent serpentine rock outcrops. Using a reciprocal transplant experiment with second-generation, greenhouse-derived seed, we quantified germination, survival, and reproductive success across contrasting microhabitats. We further evaluated the relative contributions of species, lineage, …

Purpose And Nonprofit Enterprise, Cathy Hwang, Dorothy S. Lund

Faculty Scholarship

Nonprofit enterprise is responsible for a large share of economic activity across the globe. And yet, leading theories fail to explain why nonprofit business survives and even thrives across a vast number of industries, ranging from artificial intelligence to beer brewing, despite an absence of shareholder control. Indeed, as shareholder ownership and intervention rights have become the core component of successful corporate governance, this success is all the more surprising.

This Essay offers a novel “purposeful enterprise” theory to explain the puzzling success of nonprofit enterprises. Drawing on research in behavioral economics and organizational science, it argues that organizational purpose …

Before Meyer And Pierce, Joshua Gupta-Kagan

Faculty Scholarship

In the standard story taught in typical Parents, Children, and the State or Children & the Law courses, analysis of parental rights has a clear beginning. In 1923, at the height of the Lochner era, in Meyer v. Nebraska, a case of first impression, the U.S. Supreme Court declared that “[w]ithout doubt” the Due Process Clause protected the right “to marry [and] establish a home and bring up children.” Two years later, in Pierce v. Society of Sisters, the Court recognized “the liberty of parents and guardians to direct the upbringing and education of children under their control.” …

U.S. Military Veterans And Socioeconomic Opportunities: A Financial Lens On National Public Service, Corri Zoli, Linda Euto, Rosalinda Maury

The Lender Center for Social Justice

This brief offers policy-relevant insights into how military service is an important lever for socioeconomic opportunity and social mobility in the United States. Drawing on the social science literature and recent data from federal sources, this brief focuses on the many financial advantages that result from service, whether due to standardized military pay rates, military networks, or military and veterans’ benefits, from the GI Bill to housing allowances. Such financial advantages from service may also reduce socioeconomic disparities and create economic opportunities for military service members, from building intergenerational wealth to becoming homeowners, including for underrepresented minority service members.

The Discouraged Borrower: How Stereotype Threat Blocks Capital Access For Urm Entrepreneurs, Mauricio Mercado

The Lender Center for Social Justice

Entrepreneurship thrives on access to capital, yet many underrepresented racial minority (URM) founders find themselves discouraged from even applying for loans. This is not simply due to past denials or lack of financial literacy, it is a response to the psychological burden of stereotype threat. Our research shows that the fear of confirming negative stereotypes shifts entrepreneurs into a prevention mindset, leading them to avoid opportunities for growth in order to minimize the risk of rejection. This dynamic makes Black entrepreneurs nearly three times more likely, and Latino entrepreneurs five times more likely, to self-select out of the loan application …

The Identity Navigation Challenge, Arielle Badger Newman, Mauricio Mercado, Ashley Gomez, Rosalinda Maury

The Lender Center for Social Justice

While veteran status should serve as a credential that opens doors for entrepreneurs, our research reveals a troubling reality: underrepresented racial minority (URM) veteran entrepreneurs must perform complex "identity work" to navigate bias in funding and support systems. Through interviews with 76 veteran entrepreneurs, we discovered the Intersectional Legitimacy Work Model, a three-phase process showing how entrepreneurs strategically manage their race, gender, and veteran identities when seeking resources. Black and Latino veteran entrepreneurs report having to prove they are the "right kind" of veteran, often downplaying or emphasizing aspects of their identity depending on their audience. This creates an exhausting …

Raising An Innovator: A Parent's Guide To Fostering An Entrepreneurial Mindset, Mauricio Mercado

The Lender Center for Social Justice

Empower your teen to thrive in a fast-changing world by instilling an entrepreneurial mindset. This isn't just about starting a company; it's about cultivating a mindset of resilience, creativity, and proactive problem-solving. An entrepreneurial mindset helps your teen see challenges not as roadblocks, but as opportunities. It teaches them to be resourceful, communicate their ideas with confidence, and understand the basics of financial literacy. These are life skills that will serve them well in any career path they choose. This guide offers practical ways you can nurture that spirit at home, based on a structured curriculum designed for young innovators.