Digital Commons Network^™

Intermediate Stage Densification Kinetics Of High-Entropy Ceramics During Spark Plasma Sintering, Steven M. Smith, William G. Fahrenholtz, Greg E. Hilmas, Stefano Curtarolo

Materials Science and Engineering Faculty Research & Creative Works

The intermediate stage densification kinetics of (Hf, Nb, Ta, Ti, Zr) B2 and (Hf, Nb, Ta, Ti, Zr) C were studied using a Coble creep rate model. (Hf, Nb, Ta, Ti, Zr) B2 was synthesized by boro/carbothermal reduction and (Hf, Nb, Ta, Ti, Zr) C was synthesized by carbothermal reduction. Both ceramics were densified by spark plasma sintering at 1700–1850°C. The activation energies for densification were 575 ± 53 kJ/mol for the high-entropy boride and 646 ± 4 kJ/mol for the high-entropy carbide. The densification mechanisms were grain boundary diffusion for the high-entropy boride and lattice diffusion for the high-entropy …

Interfacial Defect Properties Of High-Entropy Carbides: Stacking Faults, Shockley Partial Dislocations, And A New Evans-Polanyi-Semenov Relation, Samuel E. Daigle, Stefano Curtarolo, William G. Fahrenholtz, Jon Paul Maria, Douglas E. Wolfe, Eva Zurek, Donald W. Brenner

Materials Science and Engineering Faculty Research & Creative Works

Using first principles calculations, {111} intrinsic stacking fault (ISF) energies in groups IVB, VB, and VIB high-entropy transition metal carbides (HETMCs) are shown to be predictable from an optimized rule of mixtures based on the atomic arrangement near the stacking fault. A composition-independent linear relationship is demonstrated between the ISF energies and the unstable stacking fault (USF) energies along the (112¯){111} γsurface slip path. This relationship represents a new application of the Evans-Polanyi-Semenov principle by treating the ISF and USF energies as analogous to the heat of reaction and transition state barrier in chemical reactions. Further, a full defect energy …

The Small Gtpase Rap1 In Pomc Neurons Regulates Leptin Actions And Glucose Metabolism, Kentaro Kaneko, Weisheng Lu, Yong Xu, Alexei Morozov, Makoto Fukuda

Faculty, Staff and Students Publications

The hypothalamic leptin-proopiomelanocortin (POMC) pathway is critical for regulating metabolism. POMC neurons in the arcuate nucleus respond to leptin and play a pivotal role in mediating energy and glucose balance. However, during diet-induced obesity (DIO), these neurons often develop resistance to exogenous leptin. Recently, the small GTPase Rap1 has been implicated as an inhibitor of neuronal leptin signaling; however, its specific role within POMC neurons remains unexplored. We generated tamoxifen-inducible, POMC neuron-specific Rap1 knockout mice to selectively delete both Rap1a and Rap1b isoforms in POMC neurons. By analyzing these mice through metabolic phenotyping, immunohistochemistry, and biochemical assays, we show that …

Is Subjective Well-Being Insured Against Income Shocks? Evidence From 20-Year Panel Data In South Korea, Jiyeon An, Taehyun Ahn, Kim

Research Collection School Of Economics

Using 20 years of nationally representative panel data in South Korea, we estimate how life satisfaction responds to income shocks. We document that unexpected income changes significantly impact an individual's life satisfaction, and the magnitudes depend on the persistence of income shocks. We find that permanent income shocks substantially penetrate life satisfaction, while transitory income shocks have minimal impact. We also find that life satisfaction regarding external factors such as family income and leisure activities is more sensitive to income shocks than life satisfaction related to social relationships. Our findings imply that it is critical for the government to address …

The Impact Of Nafta On Prices And Competition: Evidence From Mexican Manufacturing Plants, Felipe Brugués, Ayumu Ken Kikkawa, Yuan Mei, Pablo Robles

Research Collection School Of Economics

This paper assesses the impact of the North American Free Trade Agreement on Mexican manufacturing plants’ output prices and markups. We distinguish between Mexican goods that are exported and those sold domestically, and decompose their prices separately into markups and marginal costs. We then analyze how these components were affected by the reductions in Mexican output tariffs, intermediate input tariffs, and U.S. tariffs on Mexican exports. We find that domestically sold products saw a decline in prices as Mexican plants faced more competition and gained access to cheaper inputs. Prices of exported goods fell only slightly as plants increased their …

Valuation Of Crypto Assets On Blockchain With Deep Learning Approach, Xi Zhou, Yin Pang, Esther Ying Yang, Jing Rong Goh, Shaun Shuxun Wang

Research Collection School Of Economics

With the rapid expansion of the blockchain ecosystem, crypto asset valuation has become an essential area of study for investors and institutions. Here, we introduce a deep learning framework that was designed to predict the value index of crypto assets by integrating intrinsic value variables and decomposing market prices into value and sentiment components. The Crypto Asset Value-indexing Model (CAVM) was applied to Ethereum’s cryptocurrency ETH to demonstrate its effectiveness. Four econometric tests were conducted to verify the informativeness, predictiveness, and reasonability of the generated value indices, as well as the efficiency of price decomposition. Our findings suggested that the …

Impact Of Classroom Environment On Bilingual Elementary School Students’ Learning, Denisse Mosqueda

Capstone Projects and Master's Theses

There are many students who may not have a stable environment at home; therefore, it is important that schools provide an environment where students feel safe space at school to encourage learning. A safe learning environment fosters students' social, physical, and emotional development. When students feel safe, they are more engaged and take more intellectual risks in a healthy and supportive climate. This senior capstone research project examines the impact of classroom environment on the learning of bilingual elementary students. Through the use of literature review, anonymous surveys of students, and teacher interviews, the results indicated that, while a positive …

Global Nomads: Identity And Belonging In Third Culture Kids And Adult Third Culture Kids, Vallon Bucayu-Lee

Capstone Projects and Master's Theses

This capstone examines the subculture of Third Culture Kids and Adult Third Culture Kids who have experienced living abroad as children. There were two main objectives in this study. First, to understand the perceptions of Adult Third Culture Kids on how their global childhoods have impacted their self-identity and sense of belonging as adults. Secondly, to understand the opinions of Adult Third Culture Kids on transitional programs through their personal experiences with them. The methodology of this capstone included a twelve-question survey distributed to seventeen Adult Third Culture Kids born in six different countries around the world. The questions in …

Empirically Exploring The Physical Realizability Of Adversarial Examples, Ruoyao Wen

McKelvey School of Engineering Graduate Student Theses & Dissertations

The development of autonomous vehicles (AVs) has been accelerated by advancements in deep neural networks (DNNs), which power the complex perception systems necessary for safe and efficient real-world navigation. However, as AVs increasingly integrate into public transportation networks, the robustness of their perception systems against potential vulnerabilities is critical. Among these threats, adversarial attacks—particularly through the use of adversarial patches—pose significant risks. These patches are carefully crafted perturbations designed to mislead DNNs, potentially compromising AV safety by causing incorrect object recognition or misclassification.

While extensive research has demonstrated high attack success rates for adversarial patches in controlled digital environments, their …

Compartmental Disaggregation: Bridging Simulation And Sampling Methods For Synthetic Population Data Generation, Dylan Mack

McKelvey School of Engineering Graduate Student Theses & Dissertations

As agent-based models (ABMs) grow increasingly widespread in public health, their associated challenges have become all the more significant. Lauded for their ability to capture population heterogeneity, nonlinear dynamics, and emergent behaviors, disease ABMs are also computationally expensive and often require detailed inputs that describe each agent at the individual-level, known as synthetic population data. Current approaches for synthetic population data generation generally fall into one of two categories: sampling or simulation. These methods are both feasible only under restricted conditions and suffer from challenges surrounding data availability and computing power. This thesis proposes compartmental disaggregation, an intermediate method for …

The Truth Behind Accessing Care For Underserved Populations, Patricia Daniela Vallejo Gomez

Capstone Projects and Master's Theses

A large number of patients are using the emergency department for non-urgent care. The Visiting Nurse Association, known as VNA & Hospice, offers services to residents in Monterey County through two major programs: hospice and home health. In partnership with Central California Alliance for Health (CCAH), VNA’s home health patients who meet the criteria for preventable emergency department visits are enrolled in the Enhanced Care Management (ECM) program to serve Monterey County residents facing challenges when trying to access healthcare services. The purpose of this project is to learn from patients based on their experiences. A quantitative survey was administered …

Improving Hospice Care Awareness In The Hispanic/Latino Community Of Monterey County, Dulce M. Cortez Cruz

Capstone Projects and Master's Theses

Montage Health is a nonprofit healthcare provider in Monterey County, offering many services, including the Hospice of the Central Coast. This hospice agency supports older adults and their families with end-of-life care. Although Monterey County has a large Hispanic/Latino population, only a small number use hospice services—mainly due to language barriers, lack of awareness, and insurance concerns. This project focuses on helping the Hispanic community learn more about hospice care through surveys and Spanish-language presentations in the future. The goal is to clarify misunderstandings and help more families feel comfortable using hospice when needed. By sharing information and building trust, …

Learning For Life College Field Trip, Omar Martinez

Capstone Projects and Master's Theses

The high school dropout rates in Monterey County continue to challenge individuals, particularly Learning For Life Charter School students. Contributing factors to the high school dropout rates include academic underperformance, unmet basic needs, an agricultural economy, and migrant labor. This translates to significant consequences such as substance abuse, increased poverty, and low-paying jobs. The project consisted of a university field trip to UC Santa Cruz with 9 juniors and seniors. The field trip included a tour guide explaining various pathways and college perspectives. With many students experiencing their first on-site college field trip, this project was to create college awareness …

Incorporating Science Into The Moderate/Severe Curriculum, Edgar Serrano

Capstone Projects and Master's Theses

Science education is often absent from the high school, moderate/severe special education classroom curriculum. When students in moderate/severe special education classrooms do not receive science instruction, they miss out on a key learning opportunity like the other curricular subjects and life skills. Increasing science education for students with disabilities may provide them with opportunities for critical thinking skills, problem solving, and creativity. In order to address this issue, I will create a three day lesson for 9 to 12 graders in a moderate/severe classroom setting at Soledad High School in Soledad, California.

Impact Of Afterschool Programs On Students; Social Development And Emotional Learning, Natalie B. Harper

Capstone Projects and Master's Theses

Afterschool programs are described as activities that are organized and structured outside of the regular school day where there is a time where there is no academic pressure and, therefore, is a time with the potential to enhance social-emotional skills development and learning. The capacity to genuinely implement social emotional learning (SEL) programs that are hindered by difficulties in staff training and turnover, in addition to funding. This senior capstone project explores the impact of afterschool programs on students' social and emotional learning at a Monterey Bay charter school, especially in their ability to impact peer and teacher relationships, ultimately …

Teaching To Belong: Embracing Latino Culture In The Classroom, Ruby A. Ramirez-Mendoza

Capstone Projects and Master's Theses

Elementary school curriculum often lacks content on diversity in the classroom. Children who are not taught about diversity can develop limited understanding of diverse cultural backgrounds. The lack of diversity in education may have negative effects including children feeling unwelcome and unrepresented in the curriculum. Introducing children to diversity in the curriculum can promote inclusivity and compassion towards each other. In order to address the lack of diversity in the curriculum, I created a three-day lesson for third graders at Jesse G. Sanchez Elementary School in Salinas, California.

The Impacts Of Instructional Technology On The Socio-Academic Development Of K-12 Students, Alivia L. Haines

Capstone Projects and Master's Theses

Becoming an educator in a post-Covid society results in many unknowns in regards to the socio-academic development of students. Specifically, the utilization of instructional technology in the classroom has become a centralized topic within educational settings over the past six years. Through research conducted from peer-reviewed journals, as well as surveys with fourteen educators and one hundred and fifty-one students, the result and findings revealed that, while there is a great divide over whether or not instructional technology is a net-positive or negative classroom asset, the use of technology in instruction impacts students’ socio-academic development with the overall consensus that …

Teaching Social Emotional Skills In Early Childhood, Shawni M. Hughes

Capstone Projects and Master's Theses

Children in early childhood may not have yet fully developed social-emotional skills around self-regulation. Without the ability to self-regulate, children will act out or misbehave in order to communicate their needs or express their feelings. Children that are taught social-emotional skills may be able to express their feelings in developmentally appropriate ways, exhibit fewer externalized behaviors, develop stronger social relationships, experience decreased emotional stress, and present better self-confidence. In order to promote social-emotional development, I created a three-day lesson for preschoolers at the Monterey Peninsula College Early Childhood Education Lab School in Monterey, California.

Exploring The Potential Of Large Language Models For Heterophilic Graphs, Yuxia Wu, Shujie Li, Yuan Fang, Chuan Shi

Research Collection School Of Computing and Information Systems

Large language models (LLMs) have presented significant opportunities to enhance various machine learning applications, including graph neural networks (GNNs). By leveraging the vast open-world knowledge within LLMs, we can more effectively interpret and utilize textual data to better characterize heterophilic graphs, where neighboring nodes often have different labels. However, existing approaches for heterophilic graphs overlook the rich textual data associated with nodes, which could unlock deeper insights into their heterophilic contexts. In this work, we explore the potential of LLMs for modeling heterophilic graphs and propose a novel two-stage framework: LLM-enhanced edge discriminator and LLM-guided edge reweighting. In the first …

On Learning Informative Trajectory Embeddings For Imitation, Classification And Regression, Zichang Ge, Changyu Chen, Arunesh Sinha, Pradeep Varakantham

Research Collection School Of Computing and Information Systems

In real-world sequential decision making tasks like autonomousdriving, robotics, and healthcare, learning from observed state-action trajectories is critical for tasks like imitation, classification,and clustering. For example, self-driving cars must replicate humandriving behaviors, while robots and healthcare systems benefitfrom modeling decision sequences, whether or not they come fromexpert data. Existing trajectory encoding methods often focus onspecific tasks or rely on reward signals, limiting their ability togeneralize across domains and tasks.Inspired by the success of embedding models like CLIP andBERT in static domains, we propose a novel method for embeddingstate-action trajectories into a latent space that captures the skillsand competencies in the …

Limit Theory For Local Polynomial Estimation Of Functional Coefficient Models With Possibly Integrated Regressors, Ying Wang, Peter C. B. Phillips

Research Collection School Of Economics

Limit theory for functional coefficient cointegrating regression was recently found to be considerably more complex than earlier understood. The issues were explained and correct limit theory derived for the kernel weighted local level estimator in Phillips and Wang (2023b). The present paper provides complete limit theory for the general kernel weighted local th order polynomial estimators of the functional coefficient and the coefficient derivatives. Both stationary and nonstationary regressors are allowed. Implications for bandwidth selection are discussed. An adaptive procedure to select the fit order  is proposed and found to work well. A robust -ratio is constructed following the new …

Graphics Processing Unit-Enabled Path Planning Based On Global Evolutionary Dynamic Programming And Local Genetic Algorithm Optimization, Junlin Ou, Ge Song, Yi Wang

Faculty Publications

This paper presents a novel path planning method for real-time robotic path planning in a dynamic environment involving moving obstacles. It combines on a holistic platform a global approach to rapidly generate initial paths of prominent diversity and a heuristic approach to enable local path refinement for enhanced computational efficiency, exploration, and robustness. The global approach innovates a formulation that treats a path planning problem with a visibility graph as a Markov decision process and decomposes the process into many subproblems. A new evolutionary dynamic programming approach (EDP) is proposed to solve these subproblems in an iterative manner using …

Predicting Which Genes Will Respond To Transcription Factor Perturbation, Eric L. Jia

McKelvey School of Engineering Graduate Student Theses & Dissertations

A fundamental issue in mapping regulatory networks between transcription factors and their target genes is the poor overlap between the set of genes bound by a given transcription factor (TF), and the set of genes that are differentially expressed after knocking out or overexpressing the same TF. We began with the hypothesis that to predict whether a gene will respond to perturbation of a TF, it is important to not only consider whether that TF is bound at the gene’s promoter, but also whether other TFs bind at the same promoter.

In this work, we propose a novel modeling procedure …

A Neuroimmune Circuit Mediates Chemo Brain Pathology, Daniel Ahmadi

McKelvey School of Engineering Graduate Student Theses & Dissertations

Chemotherapeutic agents, while effective in targeting malignant tumors, often reduce the patients’ quality of life by inducing fatigue, pain, and motivational deficits. These symptoms are collectively referred to as “chemo brain.” The mechanisms underlying these adverse effects, and specifically whether fatigue and motivational impairments share a common etiology, remain poorly understood. The neural–immune substrates of these symptoms remain obscure, in part because standard preclinical regimens either bypass key systemic signals or introduce local toxicity confounds. Here, I establish and validate a three‑day, low‑dose intravenous cisplatin protocol that avoids peritoneal inflammation and severe renal injury yet produces robust, reversible fatigue and …

Reducing Measurement Error In Three-Point Bend Test Using Linear Gradient Correction Model, Juan J. Becerra-Garcia

McKelvey School of Engineering Graduate Student Theses & Dissertations

Endovascular devices like catheters feature non-uniform flexural rigidity (EI) profiles (flexi- ble tip, stiff shaft) crucial for navigation and pushability. Standard three-point bend analysis (assuming uniform stiffness) yields inaccurate apparent rigidity (B0) for these graded devices, especially in transition zones. This inaccuracy hinders device comparison, clinical selection, and predictive modeling. This thesis develops and validates a correction model for three-point bend tests aimed at improving local flexural rigidity accuracy for devices with varying stiffness, particularly those exhibiting transition zones similar to logistic profiles. The model assumes a linear gradient in rigidity (B(x) = Bm(1 + 2mx/L)) across the test span …

Registration Of 'R19c-1012': A High-Yielding Soybean Cultivar With Improved Flooding Tolerance At Early Vegetative Stages, Caio Canella Vieira, Rafael Marmo, C. Wu, Liliana Florez-Palacios, Andrea Acuna, D. Harrison, D. Rogers, Leandro Mozzoni, T. Roberts, J. F. Carlin, Travis Faske, F. Lin, G. Shannon, H. T. Nguyen

Crop, Soil and Environmental Sciences Faculty Publications and Presentations

'R19C-1012' (Reg. no. CV-564, PI 707837) is a high-yielding, conventional maturity group Mid-IV (Relative maturity 4.6) soybean [Glycine max (L.) Merr.] cultivar with improved flooding tolerance at V2-V4 vegetative growth stages. It was developed and released by the University of Arkansas System-Division of Agriculture Research & Extension Center in 2024. R19C-1012 has an indeterminate growth habit, purple flowers, gray pubescence, brown pods, and seed with an imperfect black hilum. From 2019 to 2023, R19C-1012 was evaluated across 40 irrigated environments, with an average grain yield of 4302 kg ha-1, representing 93% and 99% relative yield of the Xtend and non-Xtend …

The Imposition Of Constitutional Rights, Alvin Padilla-Babilonia

Faculty Publications

One of the central principles of constitutionalism is that citizenship stands for equal rights under the law. According to this ideal, a U.S. citizen living in Puerto Rico or Guam should have the same constitutional rights as a citizen living on the mainland. However, throughout U.S. history, constitutional rights have been neither uniform nor centralized. While constitutional rights held im- portance, they coexisted with ideals of democratic self-governance and legal pluralism. Today, Supreme Court justices and legal scholars argue that all constitutional rights should apply in the territories. This view upholds citizenship, equal rights, and the rule of law. But …

The Little Diagram That Could: Geometric Properties And Statistical Applications Of Persistence Diagrams In Topological Data Analysis, Eugene Kler

McKelvey School of Engineering Graduate Student Theses & Dissertations

Topological Data Analysis (TDA) is a collection of techniques for data analysis that leverages topological invariants of spaces formed from data points. These methods excel at extracting useful information from noisy or sparse data, making them attractive to many mathematicians, statisticians, and scientists. In this thesis, we explore TDA on three fronts: algebraic foundations, statistical applications, and metric properties. Throughout, the central object of study is the Persistence Diagram (PD), a summary of the changes in homology that occur as one builds simplicial complexes from the data by increasing a parameter.

From Guns To Scalpels: Reproductive Violence And The (In)Visibility Of Non-Lethal Genocidal Acts, Anthony Ghaly

Vanderbilt Journal of Transnational Law

No abstract provided.

Through The Garden, Across The Pond, And Beyond: Comparing Noncompetes With Garden Leave And Trade Secret Law, Kathleen Fink

Vanderbilt Journal of Transnational Law

No abstract provided.