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Cut And Cultivate: Process And Practice, Kailey Atkinson Jun 2026

Cut And Cultivate: Process And Practice, Kailey Atkinson

Master of Fine Arts in Visual Arts

Using a candy-coated, flower-ridden, bright palette and maximalist sense of composition, my artwork builds community through narrative collage, photography, painting, sculpture, poetry, and social practice. Through a feminist lens, these bright works explore body image, gender roles, and social issues. Obsessively collecting and repurposing an archive of vintage imagery, my work draws parallels between traditional and contemporary topics through the language of collage and redaction.  My nascent social practice has led me to engage with narratives outside my own experience and offer my process as a healing modality to other women.

In a tumultuous political climate where art can serve …


Darkness Seen By Candlelight: Painting To Discover Feeling, Shelby Feltoon Jun 2026

Darkness Seen By Candlelight: Painting To Discover Feeling, Shelby Feltoon

Master of Fine Arts in Visual Arts

This thesis discusses the ways that a phenomenological experience can translate itself through the medium of painting. This translation evokes deep feelings through physical considerations of materiality, light, context, distance, and time. Through a series of intimate and abstracted oil paintings created in thin layers, the work conveys an interdependent relationship between light and darkness. This project draws from research on art movements like Suprematism, Minimalism, and Expressionism, as well as larger practices and philosophies about photography and the sublime. The body of work draws direct reference to Junichiro Tanazaki’s essay In Praise of Shadows. Ultimately, the work described …


Exploring Regenerative Vegetable Systems On The Central Coast Of California, Una S. O'Connell Jun 2026

Exploring Regenerative Vegetable Systems On The Central Coast Of California, Una S. O'Connell

Master's Theses

As climate change and current agricultural practices place pressure on the long term sustainability and resilience of food production systems, there is growing interest in whether existing agricultural systems can adapt to maintain productivity while improving environmental outcomes.

This study evaluated the effects of regenerative versus standard organic vegetable production systems on yield, insect communities, and weed suppression across three field trials conducted on California's Central Coast. In addition, I collected baseline soil health data for all trials. Trials 1 and 2 were carried out at the Cal Poly San Luis Obispo Organic Farm using cabbage and broccoli as cash …


A Comparative Study Of Model Predictive Control And The Stanley Method For Vehicle Path Tracking Applications, Noah S. Fitzgerald Jun 2026

A Comparative Study Of Model Predictive Control And The Stanley Method For Vehicle Path Tracking Applications, Noah S. Fitzgerald

Master's Theses

This thesis compares a model predictive controller (MPC) and a lateral Stanley controller for vehicle path-tracking applications under simulation-based and perception-driven operating conditions. Both controllers were evaluated in simulation using a nonlinear dynamic bicycle model executing single and double lane change maneuvers. Following simulation-based evaluation, both controllers were implemented on hardware within a perception-driven steering-control pipeline. This pipeline utilized recorded sensor data from the MXcarkit 1/8th-scale autonomous vehicle platform, incorporating lane instance segmentation and homography-based roadway estimation.

Under idealized simulation conditions, the MPC demonstrated improved trajectory-tracking performance during aggressive maneuvers while requiring greater steering activity and computational effort …


Constructing Orthonormal Bases With The Residuals Of Successive Approximations, An Introduction To Multiresolution Analysis, Elijah J. Guptill Jun 2026

Constructing Orthonormal Bases With The Residuals Of Successive Approximations, An Introduction To Multiresolution Analysis, Elijah J. Guptill

Master's Theses

Wavelets and wavelet analysis are used in the study of signal processing, quantum field theory, functional analysis, multifractal analysis, and various other areas of mathematics. Multiresolution analysis provides a framework for building a wavelet basis of $\mathcal{L}^{2}(\mathbb{R})$ from a scaling function $\phi$, whose dyadic dilations and translations, $\{2^{j /2}\phi(2^{j}x-k):j,k\in \mathbb{Z}\}$, approximate $\mathcal{L}^{2}(\mathbb{R})$. One of the key properties of  $\phi$ is that it must satisfy $\phi(x)=\sum_{k\in \mathbb{Z}}{p_{k}2^{j /2}\phi(2^{j}x-k)}$ with respect to the norm on $\mathcal{L}^{2}(\mathbb{R})$. This equation is called a two-scale difference equation. Such equations enforce a regularity on the ordinary generating function $2^{-1 /2}\sum_{k\in \mathbb{Z}}{p_{k}z^{k}}$, known as the quadrature condition. …


Developing A Humpback Whale Vocalization Detector Using Machine Learning Models, Lucas Kantorowski Jun 2026

Developing A Humpback Whale Vocalization Detector Using Machine Learning Models, Lucas Kantorowski

Master's Theses

Humpback whale songs are notoriously complex. Identification of humpback whale song units requires bioacousticians to tediously listen, analyze, and annotate collected sound data. Even sparse data requires listening to the entirety of the collected acoustic data. In this study, three hours of audio containing over one-thousand humpback whale song units was collected in Monterey Bay, California.

Prior studies have seen success using convolutional neural networks by performing image classification on hundreds of hours worth of spectrograms. Our study uses traditional machine learning models, as they are less computationally demanding, and require less data.

We use time splitting and Mel-frequency cepstrum …


How Human Vs. Ai Chatbots Support Psychological Needs Of Students, Tymon T. Vu Jun 2026

How Human Vs. Ai Chatbots Support Psychological Needs Of Students, Tymon T. Vu

Master's Theses

AI auto graders and virtual assistants are increasingly prevalent in educational set- tings. Although current literature demonstrates that AI chatbots can positively im- pact student motivation, there is little definitive evidence exploring whether these systems can replicate the effective motivational methods used by human teachers. Thus, in this experiment, we investigate how the perception of the identity of a tutor (AI versus human) impacts the psychological needs of students. 27 undergraduates taking introductory computer science courses were asked to explain code in plain English (EiPE). Participants received feedback from two tutors in within-subjects fashion: one human and one labeled as …


A Study On Quantization And Hardware Cost Tradeoffs In A 5g Nr Ldpc Decoder On Fpga, Giancarlo Acosta Jun 2026

A Study On Quantization And Hardware Cost Tradeoffs In A 5g Nr Ldpc Decoder On Fpga, Giancarlo Acosta

Master's Theses

The fixed-point implementation of a 5G New Radio LDPC decoder forces a tradeoff between precision and hardware cost, governed by the variable node word length WL, the check node message width WR, and the normalized min-sum correction factor α. This thesis characterizes how these three parameters affect both error correction performance and FPGA resource utilization for an LDPC decoder on an established LDPC decoder architecture. A bit-accurate MATLAB core model records bit error rate (BER) and frame error rate (FER) while a verified HDL Coder model generates synthesizable VHDL for Vivado synthesis, and both are swept …


Deep Learning For Affect Recognition: A Comparative Study Of Physiological Sensor-Based And Facial Image-Based Approaches, Ravi Panchal, Ravi Panchal Jun 2026

Deep Learning For Affect Recognition: A Comparative Study Of Physiological Sensor-Based And Facial Image-Based Approaches, Ravi Panchal, Ravi Panchal

Master's Theses

This thesis investigates deep learning approaches for affect recognition using wearable physiological signals and facial image data. The sensor-based component evaluates stress and affect recognition on the WESAD dataset using wrist-based physiological windows and examines multiple temporal modeling strategies, including convolutional, recurrent, hybrid CNN-LSTM, attention-based, ensemble, and time-frequency approaches.

The image-based component evaluates hard-label facial expression recognition on AffectNet+ using pre-trained ResNet-50, EfficientNet-B3, and ConvNeXt-Tiny architectures across Easy, Challenging, and Difficult subsets representing different levels of expression ambiguity.

Experimental results show that the proposed Multi-Branch Attention CNN-BiLSTM (MBA-CNN-BiLSTM) model achieves the strongest wearable stress- and affect-recognition performance among the evaluated …


Integrating Sustainability Into Engineering Education, Riley R. Moller Jun 2026

Integrating Sustainability Into Engineering Education, Riley R. Moller

Master's Theses

Engineering decisions shape lasting technology that affects environmental integrity, public safety, economic stability, and social equity. As global challenges such as climate change, infrastructure vulnerability, and rapid technological advancement intensify, the responsibilities placed on engineers continue to expand. Sustainability provides a framework for addressing these interconnected pressures through systems-based design and long-term thinking. Yet, sustainability education within engineering programs remains unevenly integrated, often positioned as elective or peripheral rather than as a foundational component of professional preparation.

Prior research shows that sustainability is most frequently addressed through stand-alone courses rather than embedded across required curricula, reflecting disciplinary structures that prioritize …


Reproducing And Evaluating Charger Surfing: Robustness Of Smartphone Charging-Line Side-Channels, Colby M. Watts Jun 2026

Reproducing And Evaluating Charger Surfing: Robustness Of Smartphone Charging-Line Side-Channels, Colby M. Watts

Master's Theses

Smartphones are frequently connected to external, untrusted charging hardware, creating opportunities for side-channel attacks that do not require malware or direct access to device data. Charger Surfing, a recently proposed charging-line power analysis side-channel attack, reported high accuracy in inferring touchscreen input from voltage measurements collected from a smartphone’s charging cable; however, the reproducibility and robustness of these results under different conditions remain unclear. This thesis presents an independent replication and evaluation of Charger Surfing, including the development of an end-to-end data collection pipeline consisting of a modified charging cable, oscilloscope-based recordings, custom Android app, automated trace processing, and convolutional …


Improving The Reliability And Performance Of A Supersonic Indraft Tube Wind Tunnel, Christian J. Kaml Jun 2026

Improving The Reliability And Performance Of A Supersonic Indraft Tube Wind Tunnel, Christian J. Kaml

Master's Theses

Access to supersonic testing is increasing in demand, and wind tunnels remain one of the safest and most cost-effective methods for gathering high-speed flow data. Despite being more economical than alternative options, supersonic wind tunnel facilities often require substantial investment to construct, operate, and maintain.

The novel indraft tube tunnel architecture was conceived as a high-speed flow testbed that incorporates features of both Ludwieg tubes and indraft wind tunnels to maintain costs low enough to be accessible even to small universities. This design was first developed and tested in 2018 at California Polytechnic State University, featuring a cost per test …


Praxsmith: An Actor-Centric Domain Specific Language For Emergent Narratives In Video Games, Jacob C. Kelleran Jun 2026

Praxsmith: An Actor-Centric Domain Specific Language For Emergent Narratives In Video Games, Jacob C. Kelleran

Master's Theses

The video game industry is rapidly growing, and interest in game development is growing alongside it. Among this growing interest is a desire to include branching and emergent narratives in games. This subject is understood to be difficult, as every possible trajectory within the story creates exponential complexity. Large studios are sometimes able to create convincing implementations, but that is often with hundreds of developers and writers. Over the years, various solutions have been proposed to create frameworks and languages that aim to tackle this problem, with varying degrees of success. Some frameworks attempt this by placing the focus on …


An Evaluation Of Road Network Structure As A Predictor Of Traffic Volume, Colin M. Mcdonald Jun 2026

An Evaluation Of Road Network Structure As A Predictor Of Traffic Volume, Colin M. Mcdonald

Master's Theses

This thesis evaluates the relationships between various graph theory metrics and taxi traffic volume for the cities of San Francisco, California and Porto, Portugal. We also evaluate a modified betweenness centrality metric which incorporates the count of distinct origin-destination pairs from the taxi data as the weight function. This thesis extends a paper by Pengyao Ye, Bo Wu, and Wenbo Fan by reducing circularity through a temporal train-test split and by comparing both line-graph and primal-graph formulations of betweenness centrality.

We found that past traffic volume is almost perfectly correlated with future traffic volume and that the modified betweenness centrality …


Sustainable Management Of Soilborne Pathogens In Strawberry Production Through Host Resistance And Sanitation Practices, Maria G. Alvarez Arredondo Jun 2026

Sustainable Management Of Soilborne Pathogens In Strawberry Production Through Host Resistance And Sanitation Practices, Maria G. Alvarez Arredondo

Master's Theses

Strawberry production in California is significantly impacted by soilborne pathogens that reduce plant productivity and increase management costs. This research addressed management of these pathogens through two independent approaches: evaluation of host resistance in strawberry cultivars and assessment of sanitation practices for reducing pathogen movement between fields.

Macrophomina root rot, caused by Macrophomina phaseolina, was evaluated over two growing seasons (2024–2025 and 2025–2026) using field trials at California Polytechnic State University, San Luis Obispo. In Year 1, disease incidence varied widely among genotypes, with mortality ranging from 1.3% to 88.8% and an average mortality of 26.4%. Area under the …


Clinical Presentations Of Pemphigus Vulgaris In Patients With Skin Of Color: A Systematic Literature Review, Haya Alkiswani, Simona Alomary, Jared Boetes, Nicole J. Baker, Susan C. Taylor Jun 2026

Clinical Presentations Of Pemphigus Vulgaris In Patients With Skin Of Color: A Systematic Literature Review, Haya Alkiswani, Simona Alomary, Jared Boetes, Nicole J. Baker, Susan C. Taylor

SKMC Student Presentations and Publications

Background: Pemphigus vulgaris (PV) is a rare, often severe autoimmune disease affecting skin and mucous membranes. Despite the scarce literature on PV in skin of color (SOC) populations (Fitzpatrick III-VI), existing studies suggest that there are misdiagnosis, delayed treatment, and recurrence of symptoms in SOC patients with PV. Objective: This review explores the clinical presentations of PV reported in patients with SOC, diagnostic challenges and delays, treatments, and patient outcomes to allow for an improved understanding of how PV manifests clinically in darker skin. Methods: A systematic literature review was conducted using articles found in PubMed and Embase. Two independent …


2026 Cyber-Resilient Health Care Workshop Report, Malcolm Schongalla, Sergey Bratus Jun 2026

2026 Cyber-Resilient Health Care Workshop Report, Malcolm Schongalla, Sergey Bratus

Computer Science Technical Reports

The ISTS and the Dartmouth College Cybersecurity Cluster hosted the successful, inaugural Cyber-Resilient Health Care (CRHC) Workshop, March 5th & 6th, 2026. The event theme was "Innovation and Implementation," in response to the need to shift from reactive to proactive resiliency measures in the healthcare sector. Approximately 30 experts in clinical health care, cybersecurity, medical technology, policy, and innovation met to discuss solution-focused innovations addressing hard, cyber-related problems in health care. The agenda featured keynotes, an expert panel, innovation pitches, small group discussions, and a tabletop infrastructure disaster exercise. Participants gained insights into the obstacles and solutions involved in supporting …


The Impact Of Ai Companions On Family Law, Clare Huntington Jun 2026

The Impact Of Ai Companions On Family Law, Clare Huntington

Faculty Scholarship

People of all ages and backgrounds regularly use AI companions — virtual friends, lovers, and confidantes powered by artificial intelligence. As a new form of relationship, this development poses novel doctrinal and policy questions for family law. As a doctrinal matter, what does child neglect look like when a parent delegates caretaking to an AI companion? How should standards for elder neglect adapt to the widespread use of robotic caregivers? Should lawmakers impose mandatory reporting requirements on therapy bots if children share experiences of abuse or neglect? And can people designate an AI companion as a health care proxy? As …


Public Perceptions Of Family Caregiving Of Children Versus Older Adults, Elizabeth S. Scott, Tamar Kricheli-Katz Jun 2026

Public Perceptions Of Family Caregiving Of Children Versus Older Adults, Elizabeth S. Scott, Tamar Kricheli-Katz

Faculty Scholarship

The population of older adults in the United States is growing at a rapid rate, both because people are living longer lives and because older adults are an increasingly large share of the population as baby boomers age. It is predicted that by 2030, one in ¿ve adults in the United States will be of retirement age, and one in six people worldwide will be age 60 or older. By 2034 there will be more adults age 65 and older in this country than minor children under age 18.

Among the important consequences of this demographic trend will be a …


(R2133) Analysis Of A Bulk Queue With Balking, Adaptive Overloading Service, Multiple Vacation, Inspection And Rework, S. Karpagam, R. Lokesh Jun 2026

(R2133) Analysis Of A Bulk Queue With Balking, Adaptive Overloading Service, Multiple Vacation, Inspection And Rework, S. Karpagam, R. Lokesh

Applications and Applied Mathematics: An International Journal (AAM)

We consider a queueing system that utilizes a single server to manage product flow through bulk and overload service modes, depending on queue length. Balking occurs when the queue length reaches ‘N’. After completion of service, products undergo quality inspection, with defective products sent for rework based on specific probabilities. If the product is non-defective, the server continues processing until the queue length exceeds a certain threshold; beyond this point, the server is either routed back to bulk service or directed to an overload service. Also, the server goes into a vacation mode when the queue size is below a …


A Copula-Based Framework For Multivariate Count Time Series With Mixed Marginal Distributions, Dimuthu Fernando, Yuxin Wen, Wimarsha Jayanetti Jun 2026

A Copula-Based Framework For Multivariate Count Time Series With Mixed Marginal Distributions, Dimuthu Fernando, Yuxin Wen, Wimarsha Jayanetti

Engineering Faculty Articles and Research

We developed a class of multivariate integer-valued time series models using copula theory. Each count time series is modeled as a Markov chain, with serial dependence characterized through copula-based transition probabilities for Poisson and negative binomial marginals. Cross-sectional dependence is modeled via a trivariate Gaussian or a “t-copula”, allowing for both positive and negative correlations and providing a flexible dependence structure. Model parameters are estimated using likelihood-based inference, where the trivariate Gaussian or t-copula integrals are evaluated through standard randomized Monte Carlo methods. Simulation results, along with an analysis of annual counts of major hurricanes (Category 3+) across the North …


2026 June, Morehead State University. Office Of Communications & Marketing. Jun 2026

2026 June, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for June of 2026.


Fairlinked: Data Fairification Tools For Materials Data Science, Van D. Tran, Brandon Lee, Ritika Lamba, Henry Dirks, Quynh D. Tran, Balashanmuga Priyan Rajamohan, Ozan Dernek, Laura S. Bruckman, Yinghui Wu, Erika I. Barcelos, Roger H. French Jun 2026

Fairlinked: Data Fairification Tools For Materials Data Science, Van D. Tran, Brandon Lee, Ritika Lamba, Henry Dirks, Quynh D. Tran, Balashanmuga Priyan Rajamohan, Ozan Dernek, Laura S. Bruckman, Yinghui Wu, Erika I. Barcelos, Roger H. French

Student Scholarship

FAIRLinked is a software package created to support the FAIRification of materials science data, ensuring proper alignment with FAIR principles: Findable, Accessible, Interoperable, and Reusable. It is built to be compatible with MDS-Onto, an ontology designed to capture the semantics of various types of materials data, enabling integration and sharing across different research workflows. The package is subdivided into three subpackages: InterfaceMDS, RDFTableConversion, and QBWorkflow. The first subpackage, InterfaceMDS allows users to search for terms using either string search or various filters, explore different domains and subdomains, and add terms to MDS-Onto. RDFTableConversion is used for serialization and deserialization of …


Rehab Mechanics, Sierra Spierling, Nicole Garcia, Joel Gonzalez, Diana Garcia-Becerra, Mia Kwan Jun 2026

Rehab Mechanics, Sierra Spierling, Nicole Garcia, Joel Gonzalez, Diana Garcia-Becerra, Mia Kwan

Mechanical Engineering Senior Theses

Stroke survivors often struggle to regain grip strength and hand mobility due to limited access to physical therapy, lack of progress tracking during independent rehabilitation sessions, and reduced motivation from slow or unmeasured progress. There is a need for more effective rehabilitation approaches, as current at-home strengthening tools do not provide quantitative feedback or adjustable resistance, and clinical devices are expensive. This makes it challenging for patients and their physical therapists to guide recovery and monitor improvement effectively. To address these obstacles, we developed a low-cost, customizable grip-strengthening device that tracks patient progress and assists in regaining strength and mobility …


The Polysubstance Assessment Tool, Amanda M. Bunting, Charles M. Cleland, S. Michaela Barratt, Brittany Griffin, Jaimee Williams, Carrie B. Oser, Joshua D. Lee, Jennifer Mcneely Jun 2026

The Polysubstance Assessment Tool, Amanda M. Bunting, Charles M. Cleland, S. Michaela Barratt, Brittany Griffin, Jaimee Williams, Carrie B. Oser, Joshua D. Lee, Jennifer Mcneely

Sociology Faculty Publications

Background and aims: There are currently no brief quantitative assessments that capture the drug patterns of people who engage in use of more than one drug on the same day or simultaneously. The current study examined the retest reliability, acceptability and feasibility of a new quantitative assessment to measure polysubstance use. Design: A tool for assessing simultaneous and same-day polysubstance behaviors, the polysubstance assessment tool (PAT) was developed in interviewer-administered and electronic self-administered formats. Participants were allocated 1:1 to receive either version of the PAT and returned one to three days later to repeat the assessment. Setting: New York City, …


Forecasting With Uncertain Persistence, Joel Flynn, Maksim Meinert, Karthik Sastry Jun 2026

Forecasting With Uncertain Persistence, Joel Flynn, Maksim Meinert, Karthik Sastry

Cowles Foundation Discussion Papers

With uncertainty about persistence, we show that forecasts necessarily become more persistent and over-react at long horizons. For these reasons, correctly specified and Bayesian forecasts may under-react at short horizons and over-react at long horizons. These results provide a unified explanation for several asset pricing and forecasting puzzles, including: (i) the excess responsiveness of long-horizon rates to short rates, (ii) the dominance of apparent term premia for long-term rates, (iii) the ex post predictability of bond yields, (iv) the excess volatility of long-horizon forward prices, (v) the excess persistence of long-horizon forecasts, and (vi) the over-reaction of long-horizon forecasts.


Good Intentions, Mixed Messages: Considering Mental Health In Attorney Discipline, Sarah J. Schendel Jun 2026

Good Intentions, Mixed Messages: Considering Mental Health In Attorney Discipline, Sarah J. Schendel

Suffolk University Law School Faculty Works

The legal profession urges struggling lawyers to seek help—but what happens when those same lawyers become the subject of discipline? As mental health challenges among lawyers become more widely acknowledged and understood, the disciplinary systems that govern the profession remain uneven and opaque in their treatment of mental health as a mitigating factor. This Article presents the first comprehensive review of over a decade of disciplinary decisions and admonitions in Massachusetts, focusing on how mental health is considered during sanctioning and whether current standards meaningfully reflect the profession’s stated commitments to fairness, public protection, and attorney well-being.

The analysis reveals …


Veiled Justice: Secularism And The Hijab Across Democracies, Mohamed ‘Arafa Jun 2026

Veiled Justice: Secularism And The Hijab Across Democracies, Mohamed ‘Arafa

Seattle University Law Review

For much of 2022, Iran was gripped by widespread protests led by women who openly challenged the regime’s authority, particularly its compulsory veiling laws, following the death of Mahsa Amini in police custody. Women around the globe came around and showed solidarity with the women in Iran. However, in non-Islamic countries and societies, one can still make out many prejudices and stereotyping connected to the question of whether and to what extent veiling is mandatory for women according to Shārīe’ā law. Is wearing the hijab a choice, or rather, an essential religious practice that religious Muslim women need to obey? …


Regulating Wellness: Reimagining Legal Frameworks In The Age Of Preventative And Aspirational Health, Barbara Zabawa Jun 2026

Regulating Wellness: Reimagining Legal Frameworks In The Age Of Preventative And Aspirational Health, Barbara Zabawa

UMKC Law Review

The 2025 Wellness Law Symposium was held October 3, 2025 at the University of Missouri-Kansas City School of Law.


Wellness Disputes, Maria Cudowska Jun 2026

Wellness Disputes, Maria Cudowska

UMKC Law Review

No abstract provided.