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Evidence Brief: Shifting Attitudes And Social Norms On Fgm Through Community-Based Interventions In Somaliland, Stella Muthuri, Dennis Matanda, Francis Obare, Stephen Kizito, Chi-Chi Undie

Sexual and Reproductive Health, Rights, and Choices

This study, conducted in Sool and Sanaag regions of Somaliland within the context of The Girl Generation Support to the Africa-Led Movement (TGG-ALM), provides insights into how community-based, dialogue-driven interventions influence attitudes, social norms, and behavioural intentions related to FGM and gender.

Findings show that while personal opposition to FGM is relatively high, this does not consistently translate into perceived or collective opposition. Individuals tend to view their own attitudes as more progressive than those of their families and communities, pointing to a critical “norms misalignment” that constrains behaviour change. This gap suggests that entrenched social expectations – particularly around …

Paidar: Private Sector Allied For Inclusive Delivery Of Accessible Reproductive Health, Population Council Pakistan

Sexual and Reproductive Health, Rights, and Choices

Pakistan continues to face critical challenges in increasing contraceptive use and reducing the unmet need for family planning (FP). While public-sector facilities remain key providers, a substantial proportion of healthcare seekers rely on private family physicians as their initial point of contact.

Recognizing this strategic opportunity, the PAIDAR study was designed to strengthen the role of private- sector male family physicians in FP service delivery. Implemented across six diverse districts of Punjab, supported by Health Care Commission Punjab and Department of Health and Population Punjab, the intervention enhanced providers' capacity to deliver quality FP counselling, contraceptive services, structured referrals, and …

Making Better Use Of Data For Improved Health Service Delivery In Punjab: Transforming Data Into Action Evidence, Population Council Pakistan

Sexual and Reproductive Health, Rights, and Choices

Strong health systems depend not only on collecting data, but on using it effectively for planning, monitoring, and decision-making. To strengthen evidence-based management across Punjab's health sector, the Population Council partnered with the Health and Population Department, Punjab, particularly the Health Information and Service Delivery Unit (HISDU), to improve the utilization of routine health information. This brief summarizes the collaboration's focus on three complementary areas: (1) Development of the ASET (Analytics for Service Efficiency and Tracking) platform to transform routine data into actionable information; (2) Strengthening the Capacity of Data Users through specialized training in data analytics, visualization, and use …

Social Media Is A Juggernaut: Lagged Correlation Analysis Using Ngram Data On “Internet” And “Social Media” With Amplification By The Advent Of The “Iphone”, William Zywiak, Gao Niu, Nicolas Petrell, Victoria Nichele, Kirsten Hokeness

Mathematics and Economics Faculty Journal Articles

The amount of new information transmitted per day can be overwhelming. The data available through Ngram Viewer allows statistical examination to determine the most salient topics, as well as lagged correlation and lagged variance to support possible causal connections between concepts. Using this database, we determined that COVID, crypto, microplastics, and especially social media are important topics of the last few years. We also present results that suggest the development of the internet and the iPhone fueled the prominence of social media, and the access of the iPhone also increased access to the internet.

The Impact Of New York's 2026 Climate Law Retreat, Jonathan A. Binder, Vincent M. Nolette

Sabin Center for Climate Change Law

On May 26, 2026, New York State enacted significant revisions to its 2019 Climate Leadership and Community Protection Act (CLCPA). The 2026 Amendments, which include changes to the greenhouse gas (GHG) emission accounting methodology, the statewide GHG emission limits, and the requirement to adopt implementing regulations, collectively weaken the Act's ambition. New York’s retreat from state climate action after championing it for years reflects a broader national trend of de-prioritizing mitigation efforts.

The 2026 Amendments will have vast and important consequences for the implementation of the CLCPA. Numerous actions will need to be updated through rulemaking, guidance, or other administrative …

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

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 …

Determinants Of Extended Postanesthesia Care Unit Stay, Jonathan Vaughn

Nursing Publications

Frustration is a common emotion felt by up to 70% of workers in high-stress environments.1 As a Certified Registered Nurse Anesthetist, I can attest to the postanesthesia care unit (PACU) as being a high-stress environment. The PACU Registered Nurses and staff provide expert care to postoperative patients. The PACU offers postoperative patients a safe recovery from anesthesia through monitoring and stabilization, as well as pain and symptom management through prevention and early intervention. It prepares patients for timely discharge or transfer.2 At times, some patients may experience adverse effects in the PACU, resulting in a longer than 90-minute length of …

Trim-Transfer: A Transfer Learning Approach For Cross-Trim Level Can Intrusion Detection, Baylor J. Whitehead

Master's Theses

Modern vehicles contain many Electronic Control Units (ECUs) that communicate through CAN. While CAN enables efficient data communication, it lacks built in authentication and encryption, allowing adversarial actors to inject malicious CAN messages. This limitation has motivated the development of CAN intrusion detection systems (IDS). However, deploying IDS across a vehicle lineup requires collecting large labeled datasets and retraining models, increasing development cost and limiting scalability.

This thesis investigates the use of transfer learning with LSTM-based deep neural networks to reduce retraining cost while maintaining model detection performance. A baseline LSTM model is trained using CAN data from a base …

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

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 1/8^th-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

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

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 …

Discovering Differentially Correlated Sets Across Multiple Treatments, Tyler J. Stoen

Master's Theses

When comparing data sampled under several different conditions, we often want to study not only the overall treatment effect but also how treatments influence the relationships among variables. Differential Correlation Mining (DCM) is an existing method for identifying groups of variables whose average pairwise correlation differs significantly between exactly two sampling conditions. We extend this framework to the setting of three or more treatments, where the goal is to identify variable sets whose pairwise correlation structure varies across all conditions simultaneously. Our proposed method, VSAT for three or more treatments, generalizes the DCM search procedure using a multi-treatment hypothesis test …

Discrete S-Band Low-Noise Amplifier Designs For High Data-Rate Cubesat Uplink, Alejandro Martin Cosper, Alejandro Cosper

Master's Theses

In the world of small satellites, there is growing interest in higher-data-rate systems and the technologies that enable them. Due to limitations in the extremely reliable and proven Ultra-High Frequency (UHF) systems, the current CubeSats developed by the Cal Poly CubeSat Laboratory operate at 9600 Baud. However, the low Baud rate is rooted in decades of proven flights and is very resistant to many forms of signal degradation. While a slow but simple system was critical to past successes, future satellite payloads may require higher data rates to drastically reduce the number of passes needed to transfer large amounts of …

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 …

The Effects Of Maceration And Enzymes On The Chemical Characteristics Of Hard Apple Cider, Manou De Pelsmaeker

Master's Theses

The purpose of this study was to analyze the effects of maceration and pectinase enzymes on the base chemical, polyphenolic, and volatile characteristics of cider. The apples (Fuji) were milled and macerated for 0, 4, 12, 24, or 36 hours, both with and without an enzymatic pectinase addition. While base chemical characteristics such as sugar content and ABV were unaffected, the acidity of cider was influenced maceration and enzymes. Extended maceration time resulted in lower concentrations of malic acid, and enzymes resulted in a lower pH compared to the control. Polyphenols were extracted during maceration time, resulting in higher concentrations …

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 W_L, the check node message width W_R, 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

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

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

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

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 …

Preserving Structural Alias Information Across The Mlir-To-Llvm Lowering Boundary, Shravan Sheth

Master's Theses

Machine learning training and inference workloads run at massive scale, where the efficiency of generated machine code directly affects throughput and energy consumption. The compilers that lower model specifications to hardware instructions rely on optimization passes that can only exploit information visible in the representations they operate on. MLIR, the intermediate representation framework underlying production machine learning compilers such as IREE and Triton, is designed so that each abstraction level can encode semantics that lower levels cannot represent. One example is memref.subview, which partitions a buffer into typed regions with explicit offsets and sizes, making structural non-overlap provable from the …

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

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

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 …

Improving The Clinical Trial Landscape For Patients With Atypical Variants Of Alzheimer's Disease, Nick Corriveau-Lecavalier, Neus Falgàs, Deepti Putcha, Jonathan Graff-Radford, Keir X.X. Yong, Baayla D.C. Boon, Rosaleena Mohanty, Eric Westman, Colin Groot, David T. Jones, Lea T. Grinberg, Gil D. Rabinovici, Jennifer L. Whitwell, Liana G. Apostolova, Melissa E. Murray, Dustin B. Hammers, Suzanne E. Schindler, Inga Atonsdottir, Elizabeth K. Rhodus, Jonathan M. Schott, Ignacio Illán-Gala, Ogbuagu Chukwuanugo, Jorge J.Llibre Guerra, Ruth Peters, Erin L. Abner, Carla Abdelnour, Albert Lladó, Renaud La Joie

Epidemiology and Environmental Health Faculty Publications

Patients with atypical variants of Alzheimer's disease (AD) often present at a younger age with predominantly non-amnestic impairments and a more aggressive disease course. Historically, individuals with atypical presentations have not been included in large-scale clinical trials, which typically focus on late-onset, sporadic amnestic-predominant AD. Consequently, treatment options and research efforts specific to atypical AD remain limited. The emergence of amyloid-targeting therapies that slow disease progression underscores these challenges, as evidence supporting their efficacy in early-onset amnestic and non-amnestic AD variants is scarce. This perspective article argues that atypical AD represents an excellent disease model for clinical trials and proposes …

Transportability Analyses In Comparative Effectiveness Research, Blythe Adamson, Wei Liu, Stephen Duffield, Anouk Déruaz-Luyet, Dimitri Bennett, Montse Soriano Gabarró, Mehmet Burcu, Daniela Claudia Moga, Sarah Welby, Tianze Jiao, Xuerong Wen, Grammati Sarri

Epidemiology and Environmental Health Faculty Publications

The Problem: Transportability considerations are increasingly important to answer research questions in comparative effectiveness research (CER) to support the transfer of evidence on medicinal products across countries or settings. As drug development costs rise and healthcare systems and professionals face economic and resource pressures, leveraging existing data and evidence generated across borders or settings can improve efficiency and inform decisions in product development and decision-making (regulatory, health technology assessment [HTA] and clinical care). Differences in population characteristics, healthcare systems, and data availability, including coding discrepancies, may present significant challenges to the transportability of CER evidence. Without rigorous methodological approaches, the …

Understanding The Contribution Of Toxicant Exposures To Alzheimer's Disease And Related Dementias., Gareth R Howell, Paul R Territo, David Aylor, Lee E Goldstein

Faculty Research 2026

Alzheimer's disease and related dementias (AD/ADRD) are modulated by gene-environment (GxE) interactions across the lifespan. Variants of specific genes increase AD risk and synergize with exposures to environmental toxicants ("exposome"), including neurotoxic metals and metalloids such as lead (Pb), cadmium (Cd), and arsenic (As). These neurotoxicants enter the body (via drinking water, contaminated food, and airborne particulates), transit in blood, cross the blood-brain barrier, and distribute in brain where the retained toxicant disrupts central nervous system development, structure, and function. Chronic exposure to these ubiquitous toxicants is common in disadvantaged communities, raising concerns about health risk disparities linked to geographic, …