Digital Commons Network^™

8. Many Stories Matter, So Let Us Make Them Accessible: Transforming Student Literature And Essays To Open Anthologies, James Thibeault

Open Educational Resources For and As Assessment

This chapter delves into the concept of open literature, emphasizing the importance of creating accessible and diverse literary works through open pedagogy. It explores the definition of open literature, distinguishing it from analytical and instructional resources, and highlights current examples of open literature initiatives. Throughout the chapter, it outlines methods for designing open literature anthologies through classroom assignments, including the integration of auxiliary works and the selection of appropriate open licenses. Finally, it discusses various open publication options for these anthologies. Overall, the chapter aims to foster a more inclusive and representative literary landscape that benefits both current and future …

More Than Money: Holistic Outcomes Of Catholic Higher Education, Jason King

Journal of Catholic Education

In an era dominated by financial metrics and return-on-investment rhetoric, this study offers a counternarrative by examining the holistic outcomes of Catholic higher education. Drawing on a nationally representative survey of 2,000 college graduates, it compares alumni of Catholic and secular institutions across three domains: life satisfaction and personal fulfillment; civic engagement and community involvement; and ethical development. The findings reveal that graduates of Catholic colleges report higher life satisfaction, greater civic participation, and a stronger ethical orientation than their secular peers—patterns that persist across demographic subgroups. While Catholic colleges perform well on traditional financial indicators, their distinctive value lies …

Credit Card Fraud Detection Via Model Retraining And Fine-Tuning, Anamol Khadka

Computer Science and Engineering Student Research - Archive

Credit card fraud detection is a critical task in financial systems, especially given the rarity and evolving nature of the fraudulent behavior. The highly imbalanced class levels of the fraudulent and non-fraudulent transactions make it a challenging classification problem to solve. This study investigates the effectiveness of machine learning models: Logistic Regression, XGBoost, and Multi-Layer Perceptron (Neural Network), evaluated under temporal retraining and fine-tuning scenarios using a publicly available, highly imbalanced dataset of European credit card transactions. The dataset includes 284,807 transactions, of which only 492 (0.172%) are labeled as fraudulent, making it a well-known example of an imbalanced classification …

Comparative Evaluation Of Traditional Machine Learning And Deep Cnn Models For Static Hand Gesture Recognition, Anamol Khadka, Prit Desai

Computer Science and Engineering Student Research - Archive

Hand gesture recognition plays a vital role in facilitating natural and intuitive human-computer interaction, with applications ranging from sign language translation to touchless control systems. This study presents a comparative evaluation of traditional machine learning models and a deep convolutional neural network (CNN) for static hand gesture classification. The experimental dataset comprises 24,000 training images and 6,000 testing images, spanning 20 gesture classes. Traditional models, including k-Nearest Neighbors (KNN) and Support Vector Machines (SVM), utilize handcrafted features such as convex hull, convexity defects, and Hu moments. In contrast, the deep learning approach fine-tunes a ResNet18 architecture to learn features directly …

A Random Walk Simulation Of Positron Annihilation Depth As A Function Of Positron Beam Energy, Saniya Anjum Aqeel Ahmed Yadgeer

Physics Theses - Archive

Depth resolved defect and chemical characterization studies using positron annihilation spectroscopy depend on the ability to estimate the fraction of positrons annihilating at surface, in the bulk, at defects or as Positronium. The depth resolution is limited by the implantation profile of the energetic positrons and the diffusion of the thermalized positrons. Here we implement a random walk simulation as described in S. Eichler et al. [1] to track the monoenergetic positrons implanted into multilayer graphene on Cu. For our simulations the implantation depths were sampled from a Makhovian distribution that has been shown to accurately represent the implantation profile …

Menstrual Cycle Variations In Ultrasound And Biomechanical Risk Factors For Acl Injury In Adolescent Female Athletes, Jessica Garcia

Kinesiology Dissertations - Archive

Anterior cruciate ligament (ACL) injuries are a significant concern in adolescent female athletes, with rates consistently higher than their male peers. This disparity is attributed to a complex combination of anatomical, hormonal, and neuromuscular factors that elevate injury risk while performing dynamic movements common in running and cutting sports such as soccer, basketball, lacrosse, and volleyball. Knee laxity has been identified as a potential risk factor, yet current measurement tools lack the sensitivity, reliability, and validity needed for practical application. Additionally, fluctuating sex hormones throughout the menstrual cycle (MC) have been implicated in changes to ligament properties and neuromuscular control, …

Smart Irrigation System Using Iot And Lstm For Optimal Water Management, Farley Y. Ruiz

Electrical Engineering Theses - Archive

This thesis presents the design and implementation of a smart irrigation system that combines Internet of Things hardware with a Long Short-Term Memory (LSTM) neural network for predictive soil moisture management. The goal is an affordable and reliable solution that uses real-time sensor data and environmental data to schedule irrigation before the substrate moisture drops below its target range. The system integrates soil moisture, temperature, humidity, and sensors on an Arduino Nano that communicates wirelessly with a Raspberry Pi. The Raspberry Pi runs a Python/Flask backend that collects and processes data, executes the LSTM model, and serves a secure web …

Power Quality Event Diagnosis Using Multi-Rate Neural Networks, Jordan D. Lloyd

Electrical Engineering Theses - Archive

Power quality disturbances (PQDs) are among the primary challenges facing modern electrical systems, as they degrade the performance and lifespan of connected equipment. This thesis investigates the relationship between the rate at which voltage waveform data are sampled, the reliability of these measurements, and the ability of deep neural networks to classify PQDs accurately. A one-dimensional convolutional neural network (CNN) was trained and evaluated across multiple sampling rates and signal-to-noise ratios to quantify how information loss in the temporal and spectral domains affects classification reliability. The results demonstrate that model accuracy degrades nonlinearly as sampling rate and signal-to-noise ratio (SNR) …

The Evolution Of The Stress Response In The Trinidadian Killifish: Ecological Drivers And Maternal Mediation, Mikaela E. Feder

Biology Dissertations - Archive

Ecological variables can induce the stress response in organisms. Yet, few studies have tested for evolutionary shifts in stress responses across ecological gradients. In these studies, we used Trinidadian killifish found in sites with predators (high predation, HP) and sites where they are the only fish present (killifish only, KO). HP and KO populations differ in a suite of behavioral and life-history traits, making the Trinidadian killifish an excellent model to examine evolutionary physiology. My dissertation addresses the knowledge gap by examining: (1) how baseline cortisol differs in wild-caught Trinidadian killifish found in HP and KO sites, (2) the influence …

Understanding Misinformation On Social Media Through Truthfulness Stance, Zhengyuan Zhu

Computer Science and Engineering Dissertations - Archive

Misinformation on social media has become a pervasive issue that profoundly influences public opinion and decision-making. As false or misleading claims circulate widely online, there is a critical need for analytical tools to understand how people react to such claims. This dissertation introduces the concept of truthfulness stance as a key lens for social sensing. In essence, truthfulness stance assesses whether a textual utterance believes a factual claim to be true, false, or expresses a neutral stance or no stance toward the claim. Leveraging stance in this manner fills an important gap in misinformation research: it enables us to gauge …

Small Farms And Climate Change: Accomplishing Sdgs 2 And 13 By Supporting Food Sovereignty, Taylor Jeanfreau

Lex Specialis

United Nations member states have fallen woefully short on progress in accomplishing the Sustainable Development Goals (SDGs), and more urgent action is needed to combat the effects of climate change. International promotion of food sovereignty—an ideology that encourages localized, environmentally friendly food production— would help with the accomplishment of the SDGs, particularly goals 2 (ending world hunger and achieving food security) and 13 (combating climate change). This paper surveys the history of food sovereignty and explores the ways in which the concept supports SDGs 2 and 13, examining its production and environmental benefits as they relate to these specific goals. …

The First Thing We Do Is Kill All The Lawsuits, Kenneth S. Klein

Faculty Scholarship

As insurance premiums spike across the Nation, insurers are (yet again) pointing the finger at lawyers and lawsuits as an explanation. This Article offers new and important data on whether, in fact, currently there is a crisis of litigation in the United States. Neither the assertion of a litigation crisis, nor legislatures adopting systemic reform in response to the perception of one, is anything new. For almost two hundred years, there have been recurring cycles of complaints about lawyers, lawsuits, and their impact on society. Yet each time independent researchers have looked at the assertion, they have found the data …

The Impact Of Audit Quality On Earnings Management In Publicly Listed U.S. Companies, Blessing Chidiebere Uwakwe, James N. Mohs

Accounting Faculty Publications

This study examined the effect of Audit quality on Earnings management of publicly listed US companies. The dependent variable; Earnings management, was measured using discretionary accruals, while the Independent Variable; Audit quality, was proxied by factors Auditor size (Big Four), audit fees, and auditor tenure. The study adopted a quantitative research design to investigate the relationship between audit quality and earnings management. A sample of publicly listed U.S. companies was selected from the SandP 500 index, spanning a period of five years (e.g., 2018-2022). Financial data were sourced from publicly available databases such as SEC filings, annual reports, and audit …

Volume 49 (2025), Canada-United States Law Journal

Canada-United States Law Journal

No abstract provided.

Panel Ii: Disinformation, Deepfakes, And The Law, Rachel Freedman Lyngaas, Michael Cass-Antony

Canada-United States Law Journal

No abstract provided.

A Moonshot In An Uncertain Time, Griffin Thomas Brown

Communication 300 Papers

This is a rhetorical analysis of John F. Kennedy’s speech at Rice University given on September 12th, 1962. This speech was chosen because of its cultural and temporal significance, and it has been analyzed in a myriad of ways according to the surrounding texts within the COMM 300 framework. The paper contains a synopsis of the rhetorical situation at the time, as well as an analysis of the speech using the 5 canons, symbolic convergence theory, and visual perspectives. Kennedy’s speech is deconstructed, and his juxtaposition of pride and careful optimism is studied intently below. In addition, Kennedy’s argument surrounding …

Town Of Lincoln, New Hampshire 2024 Annual Report, Lincoln Town Representatives

Lincoln, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

Ecological Assessment And Restoration Strategy For The Riparian Wetlands Of Woody Ryno Farms, Bee Krstich, Ethan Michael Gilmore, Kai Jeremy Hensley, Nicolas Augusto Yanez, Vanessa Luis

Environmental Science & Management Senior Capstones

Woody Ryno Farms is situated in McKinleyville, Humboldt County, California. The surrounding area is a mosaic of farmland, homes, and wetlands. This project aims to gather information about the health and species composition of the wetlands on Woody Ryno Farms. A step-point method was used to collect data on species composition along 16 m transects at 2 m intervals; all plants within a 1 m radius were identified and documented. Following data collection, we used Excel to analyze data based on several factors, including transect number, plants identified to the lowest taxonomic level, and native versus invasive taxa. Statistical analysis …

Restoring Riparian Health And Cultural Resources Along School Creek, A Baduwa’T Tributary, At Blue Lake Rancheria, Humboldt County, Ca, Karlie G. Hall, Fern W. Mcbride, Natalie R. Christenson, Olivia C. Brock, Emily A. King

Environmental Science & Management Senior Capstones

Riparian corridors are essential components of the landscape, supporting healthy streams and surrounding habitats by stabilizing banks, retaining water, and regulating stream temperatures. Indigenous peoples have stewarded these environments since time immemorial, cultivating deep relationships with the land and its culturally significant plants. Their continued ability to practice, transmit, and sustain this knowledge is vital not only for maintaining Traditional Ecological Knowledge (TEK) but also for fostering resilient and healthy ecosystems. The purpose of this project was to revegetate a riparian area of School Creek with culturally significant plants. School Creek is a tributary in the Baduwa’t watershed at Blue …

Leadership In Times Of Crisis: Motivating Employees Through The Challenges Of The Covid-19 Pandemic, Hanan Khamis

Dissertations

Purpose: This study explores the critical role of leadership and employee motivation in sustaining organizational effectiveness during times of disruption, focusing specifically on the challenges posed by the COVID-19 pandemic. It investigates how leadership styles and motivational theories evolve in response to heightened uncertainty, rapid operational changes, and emotional strain. Central to this purpose is understanding how adaptability, empathy, communication, and relational leadership practices help maintain employee engagement and ensure continuity within higher education institutions during crisis conditions.Methodology: A qualitative phenomenological methodology was used to capture the lived experiences of 10 human resource (HR) leaders representing public and private universities …

Medicare Mandates For Shared Decision Making With Patient Decision Aids: Linking Payment To Preference, Thaddeus Pope

Faculty Scholarship

Since 2015, the Centers for Medicare and Medicaid Services (CMS) has increasingly required shared decision making with evidence-based patient decision aids as an essential Medicare condition for payment. CMS is doing this because it recognizes that most healthcare is preference sensitive and value laden. So, whether treatment is “right” or “beneficial” for a patient is not only a matter of clinical expertise. It equally depends on the patient’s values, preferences, and goals. So, CMS wants to ensure that patients understand the risks, benefits, and alternatives to the healthcare that they receive and for which CMS pays. In short, under its …

Understanding Tap As A Narrative Form, Jylian R. Haynes

Williams Honors College, Honors Research Projects

I will be researching tap dancing as narrative form. As a tap teacher and member of the dance community, I feel pulled to learn about tap as a narrative form to educated myself and my students, and to inspire my choreography. I will support my research on tap as a narrative form by looking at tap history, technique, and pull from personal experience. As well as writing a research paper, I will create a piece of choreography to showcase my research. The paper and choreographed piece will work adjacently to emphasize the things I learn about tap as …

Integrating Data Management Plans Into The Unified Architecture Framework Standards Views, Cansu Yalim, Holly A. H. Handley

Engineering Management & Systems Engineering Faculty Publications

System Architecting translates an operational concept into a model of the system to be realized. There is a need for a Data Management Plan (DMP) to be included in the overall system engineering process with the advent of Digital Engineering. Data longevity, accessibility, and integrity can all be improved throughout the system's lifecycle by a well-defined DMP. System engineers use an architecture framework to arrange the system data into several sets of viewpoints. Incorporating a DMP at this point specifies the procedures for gathering, storing, retrieving, and maintaining data to ensure that all interested parties have access to current, correct …

"Discovering The Mysterious Ocean: A New Approach To Igniting Children’S Interest In Marine Sciences", Laura Goretti

Theses & ETDs

This thesis presents the development of a series of interactive musical books designed to ignite children's interest in marine sciences. The project addresses the lack of ocean literacy and school curricula in children’s books by integrating ocean principles and the New College of Florida Marine Biology curriculum with art and hands-on activities. The books target kindergarten and early elementary-aged children as the importance of early exposure to scientific concepts and children's innate scientific inquiry are discussed. Current challenges in science education are examined, highlighting the possible tools that should be utilized to enhance students’ engagement, interest, and excitement towards marine …

Evaluating The Effects Of Coastal Development On Sea Turtle Nesting Success Rates In Southwest Florida, Lydia Ubry

Theses & ETDs

The barrier islands of Sarasota County are one of the highest-density nesting areas for Caretta caretta (loggerhead sea turtle) and Chelonia mydas (green sea turtle) in Florida and the greater Gulf of Mexico region. Additionally, these islands (Lido Key, Siesta Key, Casey Key, and Manasota Key) are all highly developed with varying types of dominant structures on each key. This study aims to examine the different types of development on these islands over time (1974-2023) in conjunction with marine turtle nesting success rates. Findings include a higher number of nesting turtles overall, despite a great increase in development since the …

Educational Resources For Social-Emotional Regulation In Children, Gabrielle A. Walker

Entry-Level Occupational Therapy Doctorate - Doctoral Capstone Symposium

Emotional dysregulation is defined as patterns of emotional experience or expression that interfere with goal-directed activity (Thompson 2019). Emotional development is built on the relationships created between a child and primary caregivers including parents, extended family, and/or teachers (Stern, 2010). This project supports the development of educational resources to implement social-emotional regulation tools with children. There were some resources at the site that already existed. These were updated and revamped, along with new resources created to address social-emotional dysregulation in children.

Two passionate pediatric occupational therapists based in the Charleston area created a self-regulation education program that is implemented by …

Rpl Attack Detection In Iot Environments: An Ensemble Approach, Ashley Etheridge, Vaibhav Anu

School of Computing Faculty Scholarship and Creative Works

The Internet of Things’ rapid growth has given rise to significant security challenges. This paper addresses security concerns in IoT within Low power and Lossy Networks (LLNs) that utilize the Routing Protocol for Low Power and Lossy Networks (RPL). We propose a novel ensemble classifier, DT- NB-ANN-SGD, to detect various RPL attacks. Our experimentation compares this ensemble approach with individual classifiers (DT, NB, ANN, SGD) using the ROUT-4-2023 dataset. Results indicate promising accuracy (86.21%) but highlight the need for further improvement in recall and F1 scores. This study contributes insights for enhancing RPL attack detection in IoT environments.

Robo-Csk-Organizer: Commonsense Knowledge To Organize Detected Objects For Multipurpose Robots, Rafael Hidalgo, Jesse Parron, Aparna S. Varde, Weitian Wang

School of Computing Faculty Scholarship and Creative Works

In the rapidly evolving field of robotics, integration of commonsense knowledge (CSK) in AI systems is becoming highly crucial to enhance the decision-making capabilities of robots, especially in next-generation multipurpose environments. This paper presents Robo-CSK-Organizer, a pioneering system that employs CSK, via a classical knowledge base, to facilitate sophisticated task-based object organization helpful in multipurpose robots. Unlike systems relying solely on deep learning tools such as ChatGPT, our Robo-CSK-Organizer system stands out in various crucial aspects. This includes (1) its ability to resolve ambiguities and maintain consistency in object placement; (2) its adaptability to diverse task-based classifications; and moreover, (3) …

Donor Standing To Enforce Charitable Gifts In The 21st Century, Nancy Mclaughlin

Utah Law Faculty Scholarship

This Article outlines the current state of the law regarding donor standing, which illustrates two realities. First, there is an increasing lack of coherence in the law, which has negative consequences, including that the same charitable gift may now be subject to different donor-standing rules depending on completely arbitrary factors. Second, the trend is in favor of granting donors and certain others standing, although this trend is occurring in a haphazard way. This Article also discusses the various factors that led the law of donor standing down this path. Among other things, there has been a gradual normalization of the …

Senior Capstone 2025, Wren K. Mason

Senior Art Portfolios

No abstract provided.