Digital Commons Network^™

Lidss Raft Battery Pack Integration, Jack Maxwell, Vincent Stevens, Matthew Hoodmaker, Colin Flanders

Mechanical Engineering

Lawrence Livermore National Laboratory is a critical member of the United States Department of Defense. Their Independent Diagnostics Scoring System (LIDSS) uses rafts that operate in the ocean to collect missile test data. Several times a year, the United States will test their Inter-Continental Ballistic Missiles by launching them into the ocean near the Marshall Islands. This is where the LIDSS rafts collect their test data. Our project was centered around re-designing the battery pack used by the rafts. The current battery pack design experiences water ingress problems and is difficult to access. Our re-designed battery pack is waterproof to …

Tread: A Digital Solution For Sustainable Travel, Audrey Claire Talmi, Amy Besford

Graphic Communication

This senior project aims to create an eco-tourism website that promotes sustainable and ethical travel by connecting users with local businesses, communities, and culturally respectful experiences. As mainstream tourism increasingly contributes to environmental degradation and social displacement, this platform will provide responsible alternatives by avoiding over-touristed destinations and favoring underrepresented areas. It will allow users to book flights, lodging, and activities while educating them on the consequences of over-tourism. Through a combination of intuitive user interface, thoughtful user experience, engaging visual design, and curated educational content, the website will serve not only as a booking platform but as a digital …

Truehue: Finding The Right Shade For You, Rania Price

Graphic Communication

Six in ten women struggle to find the right foundation or concealer due to the lack of representation and unreliable color-matching tools. This highlights the need for a more inclusive solution in the beauty industry. Introducing TrueHue—an innovative app prototype designed to address the widespread challenge of accurate color matching. TrueHue leverages Convolutional Neural Network (CNN) AI technology to provide precise, personalized makeup shade recommendations. Users begin by selecting their skin type, desired price range, and type of product they’re seeking. The app then captures a full-face image to analyze undertones and overall skin tone. TrueHue recommends the best shade …

Analyzing “Sex Ed: The College Edition” - A Comprehensive Workshop Increasing Sexual Literacy On Cal Poly’S Campus, Merav Tzori

Kinesiology and Public Health

"Sex-Education: The College Edition", is a comprehensive and interactive workshop based on Cal Poly student data collected via survey. The workshop aimed to address sexual health knowledge and behavior gaps in the student population and provide sexual education about anatomy, barrier methods, contraception, STIs, and more. The following paper discusses the creation, execution, and efficacy of the workshop that was conducted with seven student groups.

Derivation And Internal-External Validation Of Clinical Prediction Model For Postoperative Clinically Important Hypotension In Patients Undergoing Noncardiac Surgery: An International Prospective Cohort Study, Stephen Su Yang, German Malaga, Maria Lazo-Porras, Patricia Busta-Flores, Aida Del Carmen Rotta-Rotta, Pavel S Roshanov, Daniel I Sessler, Amal Bessissow, Thomas Schricker, Vicky Tagalakis, Diane Heels-Ansdell, Shirley Pettit, P J Devereaux

Faculty, Staff and Student Publications

Background: Intraoperative and postoperative hypotension are associated with myocardial injury/infarction, stroke, acute kidney injury, and death. Because of its prolonged duration, postoperative hypotension contributes more to the risk of organ injury compared with intraoperative hypotension. A prediction model for clinically important postoperative hypotension after noncardiac surgery is needed to guide clinicians.

Methods: We performed a secondary analysis of the Vascular Events in Noncardiac Surgery Patients Cohort Evaluation (VISION) study. Patients aged ≥45 yr who had inpatient noncardiac surgery across 28 centres in 14 countries were included. In 14 of the centres selected at random (derivation cohort), we evaluated 49 variables …

Large-Scale Plasma Proteomic Profiling Unveils Diagnostic Biomarkers And Pathways For Alzheimer’S Disease, Gyujin Heo, Ying Xu, Erming Wang, Muhammad Ali, Hamilton Se-Hwee Oh, Patricia Moran-Losada, Federica Anastasi, Armand González Escalante, Raquel Puerta, Soomin Song, Jigyasha Timsina, Menghan Liu, Daniel Western, Katherine Gong, Yike Chen, Pat Kohlfeld, Allison Flynn, Alvin G Thomas, Joseph Lowery, John C Morris, David M Holtzman, Joel S Perlmutter, Suzanne E Schindler, Natalia Vilor-Tejedor, Marc Suárez-Calvet, Pablo García-González, Marta Marquié, Maria Victoria Fernández, Mercè Boada, Amanda Cano, Agustín Ruiz, Bin Zhang, David A Bennett, Tammie Benzinger, Tony Wyss-Coray, Laura Ibanez, Yun Ju Sung, Carlos Cruchaga

Faculty, Staff and Student Publications

Proteomic studies have been instrumental in identifying brain, cerebrospinal fluid and plasma proteins associated with Alzheimer's disease (AD). Here, we comprehensively examined 6,905 aptamers corresponding to 6,106 unique proteins in plasma in more than 3,300 well-characterized individuals to identify new proteins, pathways and predictive models for AD. We identified 416 proteins (294 new) associated with clinical AD status and validated the findings in two external datasets representing more than 7,000 samples. AD-related proteins reflected blood-brain barrier disruption and other processes implicated in AD, such as lipid dysregulation or immune responses. A machine learning model was used to identify a set …

Filling The Sackett Gap: The Private Governance Option, Michael P. Vandenbergh, Elodie O. Currier Stoffel, Steph Tai

Vanderbilt Law School Faculty Publications

The Supreme Court's decision in Sackett v. EPA reversed fifty years of federal Clean Water Act wetlands protections and removed federal oversight from roughly half of the wetlands in the United States. This Article proposes a viable new conceptual model and tools to close the Sackett Gap-the gap between the wetlands protected before and after Sackett. Scholars have argued for federal measures to fill the Sackett Gap, but these actions face substantial challenges. Congress is unlikely to adopt new wetlands legislation, agencies are constrained by Sackett's expansive language, the end of Chevron deference, and the 2024 presidential election, and lower …

Data Driven Analysis Of Samara Seed Kinematics And Dynamics, Shashwat Sparsh

Master's Theses

Samara Seeds are a class of fruit most famously belonging to the Acer species and are characterized by their single-bladed geometry and their auto-rotation response during descent. This steady-state auto-rotation response is the subject of aerodynamic analysis which aim to quantify the performance. The period prior to the beginning of steady-state auto-rotation is classified as the transition regime and has not been the subject of intense scrutiny.

This thesis employs a data-driven approach to analyzing the kinematic and dynamic response of these seeds during both the transition and auto-rotation stages of flight to quantify the performance with respect to the …

Implementation Of Area-Based Aggregation On Multivariate Continuous Uncertain Data, Rahul Nair

Master's Theses

Uncertain data is incredibly widespread - from sensor data to AI-based learned information, there exists a need to associate information with a certain probability of its veracity. Traditional relational databases lack a built-in functionality to support uncertain data, instead assigning them boilerplate values. Probabilistic databases tackle this problem by assigning non-deterministic data with an associated, often discrete, probability. Variants of probabilistic databases, namely continuous uncertain databases, are used to better model data represented through ranges and distributions. This is especially applicable with sensor-based geographic data as most commercial equipment contains some inherent margin of error.

While uncertain and probabilistic databases …

Spatial And Functional Metrics For Analyzing Seedling Roots, Irina Ivchenko

Master's Theses

To study the complicated structure of a maestro pea seedling root, we investigate three spatial metrics and one functional metric. The spatial metrics are fractal dimension which measures the complexity, convex hull area which measures the occupied space, and Euler characteristic which topologically describes the shape of the root. We discuss the successes of various metrics and the possible limitations they bring to analysis. As a functional metric, we study the rhizosphere: the volume radially around the root branches from which the plant accesses nutrients and water. We investigate the relationship of the rhizosphere to the root, and propose how …

Chatgpt On Chatgpt: An Exploratory Analysis Of Its Performance In The Public Sector Workplace, Jieshu Wang, Elif Kiran, S. R. Aurora, Michael Simeone, Jose Lobo

Management Faculty Publications

This study explores the impact of Generative Artificial Intelligence (GenAI), in particular, ChatGPT, on the public sector workforce in the United States, focusing on task replacement, assistance potential, and the evolving landscape of skills. Utilizing GPT-4 to evaluate 1,022 core tasks across 51 public sector occupations, we provide an exploratory analysis of the roles susceptible to ChatGPT automation and those in which ChatGPT can augment human efforts. Our findings reveal that while 63% of tasks are resistant to ChatGPT replacement, primarily due to their requirement for physical presence, emotional intelligence, and complex decision-making, tasks that are routine, rule-based, and involving …

Non-Tariff Measures On Indonesian Tea Products: Do Sps And Tbt Impede Or Promote The Export?, Fikri Aldi Dwi Putro, Widyastutik Widyastutik, Nia Kurniawati Hidayat

Economics and Finance in Indonesia

Previous studies highlight the heterogeneous effects of Non-Tariff Measures (NTMs) on international trade. This study identifies the enforcement of NTMs and examines the effects on the export performance of Indonesian tea products. This study employed an inventory (coverage ratio) approach and panel regression with the Poisson-Pseudo Maximum Likelihood (PPML) method. The results indicate that 31 out of 36 analyzed destination countries enforce NTMs, with Vietnam imposing the most prevalent ones. Furthermore, SPS measures substantially promote the export of Indonesian tea products, whereas TBT measures show no significant effect. Therefore, the government needs to provide incentives and harmonize the national Voluntary …

Adaptive Expectation, News Impact And Lending Rate Behaviour In Nigeria: Evidence From Garch Models, Innocent Chile Nzeh

CBN Journal of Applied Statistics (JAS)

This study investigates how adaptive expectations and news impact shape lending rate behavior in Nigeria within the framework of both symmetric and asymmetric GARCH models. Using monthly data spanning 2006M1 to 2024M5, the paper analyzes the persistence, volatility, and responsiveness of the prime lending rate to positive and negative news shocks. Three error distributions (Normal, Student’s t, and Generalized Error Distribution (GED)) were employed to ensure robust estimation. The findings reveal that, in all models, the recent past value of the prime lending rate has a positive and sig nificant impact on the current value, indicating the presence of adaptive …

Relative Price Changes And Monetary Policy Stance In Nigeria, Elijah A. Udoh, Ibrahim D. Mohammed, Yakubu M. Sanusi, Philom Ena Y. Oksakei

CBN Journal of Applied Statistics (JAS)

This study estimates a baseline Taylor Rule and an augmented Taylor Rule incorporating relative price movements (RELP) using Generalized Method of Moments (GMM) on Nigerian data. The baseline model shows weak and statistically insignificant responses of the MPR to inflation, the output gap, and crisis conditions, confirming earlier findings that inflation and output in Nigeria do not have contemporaneous effects on the MPR. By contrast, the augmented model reveals that the relative price level positively and significantly influences the policy rate, indicating that the CBN raises interest rates when domestic prices rise relative to external or bench mark prices. Across …

Complete Issue, Patrick J. O'Connor Phd, Diana Camilo, Moya Malcolm, Laura Owen, Christopher W. Tremblay

Journal of College Access

No abstract provided.

Fault Tolerant Dynamic Task Allocation For Heterogeneous Multi-Robot Systems, Jack R. Cline

Master's Theses

This research presents a novel approach to dynamic task allocation in heterogeneous multi-robot systems with integrated fault detection capabilities. As multiple industries are becoming more reliant on multi-robot systems for tasks, maintaining operational efficiency despite robot failures becomes critical. We propose a framework that combines optimization-based task allocation with a Kalman filter that estimates task progress for anomaly detection to identify unreliable agents and dynamically redistribute tasks. Observing values such as the normalized innovation squared (NIS), covariance, and progress rate, the algorithm can designate a robot as faulty. Embedding information about which robots are faulty in the task algorithm allows …

Identification And Functional Assessment Of Candidate Causal Cis-Regulatory Variants Underlying Electrocardiographic Qt Interval Gwas Loci, Supraja Kadagandla, Lavanya Gunamalai, Dongwon Lee, Ashish Kapoor

The Brown Foundation: Institute of Molecular Medicine

Background: Identifying causal variants among tens or hundreds of associated variants at each locus in genome-wide association studies is challenging. As the vast majority of genome-wide association studies variants are noncoding, sequence variation at cis-regulatory elements (CREs) affecting transcriptional expression of specific genes is a widely accepted molecular hypothesis. Following this hypothesis, combined with the observation that open chromatin is a universal hallmark of all types of CREs, we aimed to identify candidate causal cis-regulatory variants underlying QT interval genome-wide association studies loci.

Methods: Common variants in high linkage disequilibrium with genome-wide significant variants were identified using variant …

All Things Pass Away, John Stuart Wilson

Dartmouth College Master’s Theses

“All Things Pass Away” is a work of crime fiction. Set amidst the downfall of local print journalism, laid off sportswriter Mark McGinnis travels from Rochester, New York to the oil boomtown of Fort McMurray, Alberta to pursue a freelancing project on troubled NHL draft prospect Noah Jeannot. Once there, McGinnis’s profile on the player is thrown into question when Jeannot disappears after an apparent violent altercation near his billet family’s home. Exploring themes of nostalgia, ambition, and obsession, the novella traces McGinnis’s attempts to understand not only the culture of the twin gods – oil and hockey – which …

Early Life Exposure To Fine Particulate Matter And Fine Motor Function, Attentional Function, And Working Memory Among Spanish School-Aged Children, Kristina W Whitworth, Aitana Lertxundi, Mingze Yuan, Alison Rector-Houze, Wei-Jen Chen, Mònica Guxens, Jordi Julvez, Michael Swartz, Elaine Symanski, Antonia Valentin, Carmen Iniguez, Llúcia L González-Safont, Jesús Ibarluzea

Faculty, Staff and Student Publications

Background: Evidence of the association between fine particulate matter (PM2.5) exposure and child neuropsychological function is equivocal. We examined early life PM2.5 exposure in relation to fine motor function, attention, and working memory in early childhood.

Methods: We used data from the Spanish INfancia y Medio Ambiente Project, 2003-2008. Exposure to PM2.5 (μg/m3) was assessed using spatiotemporal land-use random forest models and assigned based on residential address histories. Around age six, children completed the finger tapping test, attentional network test (ANT), and n-back task to evaluate fine motor speed, attention, and working memory, respectively. A total of 1,310 children had …

Optical Character Recognition For Early Handwriting Legibility Assessment, Franceli L. Cibrian, Kayla Anderson, Yingying 'Yuki' Chen, Lauren Min, Lizbeth Escobedo

Engineering Faculty Articles and Research

Monitoring children’s handwriting, such as avoiding writing assignments, displaying uneven letter formation, or showing slow writing speed, can help identify developmental and academic issues early. Poor handwriting affects up to 34% of children, leading to academic and self-esteem challenges. Handwriting assessments, typically conducted by teachers, are often delayed due to workload and could be subjective and inconsistent. This paper explores the potential of Optical Character Recognition (OCR) technology to augment and ease handwriting assessments. Based on an evaluation of 10 OCR algorithms using 33 handwriting samples assessed by two experts, the research indicates that Pen to Print and Google are …

The Effects Of Sirulina And Nannochloropsis Supplementation On Broiler Performance, Intestinal Morphology, And Gut Microbiology, Emily Beckerman

Master's Theses

The poultry industry is constantly searching for new nutritional strategies and better feed conversion ratio to enhance broiler growth and productivity. Microalgae have been shown to improve broiler performance and health depending on species and supplementation levels. The objective of this study was to determine the effects of Spirulina supplementation (Experiment I) and Nannochloropsis supplementation (Experiment II) on broiler production performance, intestinal morphology, and gut microbiology. In Experiment I, a total of 270 broiler chicks (one-day-old Ross 708) were obtained from a local hatchery after vaccinating against Newcastle, Marek’s disease, and Infectious Bronchitis. They were weighed and sorted into 18 …

Understanding Utilization And Prevention Measures Associated With A Caries Risk Assessment In Oral Health Transformation, Melody Mcgee, Ryan Brandon, Muhammad Walji, Joel White, Kristen Moses, Eric P Tranby, Lisa J Heaton, Kristen Simmons

Faculty, Staff and Student Publications

Objectives: Dental decay is endemic in the United States, underscoring the need to measure the utilization of caries risk management tools to elucidate the effect of prevention interventions in reducing the dental decay rates of individuals. An academic institution partnered with a third-party institute to call attention to the utilization and prevention measures associated with caries risk assessment (CRA) used with children 0-18 years. This environmental scan examined claims across the United States to evaluate the proportion of dental examinations, CRAs, and caries prevention procedures within a calendar year.

Methods: A 12-month deidentified participant list categorized by age, race, sex, …

Europe–Africa Collaboration: Working Together To Strengthen Health Research, Implementation, And Equitable Systems, Lara Pandya, Irene Norstedt, Martin Seychell, Emer Cooke, Isabel De La Mata Barranco, Niklas Blomberg, Marleen Temmerman, Michael Makanga

Centre of Excellence in Women and Child Health

In September 2024, key representatives from European Union (EU) directorates and agencies convened to enhance collaboration with Africa in strengthening health research, innovation, and implementation. The meeting focused on bolstering joint efforts to improve health outcomes and support wellbeing across all ages in Africa. Despite progress in addressing infectious diseases, the continent faces a dual burden with the rise of non-communicable diseases and emerging threats such as antimicrobial resistance, climate change, falsified medicines, and pandemic risks. These challenges are exacerbated by fragile health systems, rapid population growth, urbanisation, and limited access to affordable medical interventions.

To address these issues, the …

A Bayesian Approach To Grappa Parallel Fmri Image Reconstruction Increases Snr And Power Of Task Detection, Chase J. Sakitis, Daniel B. Rowe

Mathematical and Statistical Science Faculty Research and Publications

In fMRI, capturing brain activation during a task is dependent on how quickly k-space arrays are obtained. Acquiring full k-space arrays, which are reconstructed into images using the inverse Fourier transform (IFT), that make up volume images can take a considerable amount of scan time. Undersampling k-space reduces the acquisition time but results in aliased, or “folded,” images. GeneRalized Autocalibrating Partial Parallel Acquisition (GRAPPA) is a parallel imaging technique that yields full images from subsampled arrays of k-space. GRAPPA uses localized interpolation weights, which are estimated prescan and fixed over time, to fill in the missing …

Marching To College: Exploring Military-Connected Students’ Access Experiences Navigating College Choice, Latosha R. Henderson, Jennifer Johnson, Shannon Martin

Journal of College Access

This study analyzed how pre-college advising and transition experiences impact the postsecondary success of military-connected students (MCS). Each year, approximately 200,000 military veterans transition to civilian life, with around 40% seeking higher education. Despite the financial support of the Post-9/11 GI Bill, MCS face unique challenges in accessing and succeeding in higher education, including restrictive admissions policies, unclear credit transfer processes, and insufficient pre-college advising.

Through a case study approach, this study explores the college transition experiences of MCS and the role of pre-college advising in supporting these transitions. Data were collected via surveys and interviews, focusing on the participants' …

Kin 460.01: Electrocardiogram Assessment, Ronald Michalak

University of Montana Course Syllabi, 2021-2025

No abstract provided.

Csd 261.51: Introduction To Speech-Language Pathology Assistant, Collie A. Putman

University of Montana Course Syllabi, 2021-2025

No abstract provided.

Intraoperative Dynamic Contrast-Enhanced Fluorescence Imaging For Navigating Open Orthopedic Surgeries, Yue Tang

Dartmouth College Ph.D Dissertations

Infection following trauma is one of the most prevalent and challenging complications faced by orthopedic surgeons. Inadequate tissue perfusion plays a critical role in this complication, as poorly perfused bone can be a nidus for bacterial biofilm formation and promote resistance to antibiotic treatments. Consequently, the management of open fractures and fracture-related infections relies on aggressive and thorough debridement to remove all poorly perfused bone. This thesis focuses on developing an indocyanine green (ICG)-based dynamic contrast-enhanced fluorescence imaging (DCE-FI) to objectively measure bone perfusion during open orthopedic surgeries and guide surgical debridement of devitalized bone.

Novel methodologies were developed to …

Property Testing Ai: An Efficient Frontier, Paul Sopher Lintilhac

Dartmouth College Ph.D Dissertations

In this dissertation, we take a step towards addressing the major problem of a lack of standardized and rigorous approaches to testing and evaluation of AI systems. Taking inspiration from both the fields of Property Testing and Property Based Testing (for programs), we develop a novel taxonomy of partially overlapping classes of properties of AI systems, including simple properties, compound properties, higher order properties, data relation properties, and architecture-utility properties. We argue that this taxonomy categorizes a diverse set of AI traits -- including accuracy, fairness, robustness, monotonicity, point-wise and global privacy properties, sensitivity, and more -- according to the …

Final Bpsou Unreclaimed Sites: Ur-05 Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.