Digital Commons Network^™

'Coming Here, It’S Just Weird': 'Making The Familiar Strange' Through Exploring Experiences Of Sexism And Feminisms, Emilia A I Little

Plymouth Interdisciplinary Education Open Journal

This paper explores personal experiences with gender and how these experiences changed whilst attending university as an undergraduate student. The paper uses gender and feminist theory to guide a critical and auto-ethnographic exploration of personal experiences of a young woman within a patriarchal system. The paper uses journal excerpts to recount past and current experiences through feminist lenses. Through exploring gender theory, binary and performativity, personal experiences are validated and explained. The force of patriarchal oppression and privilege were illuminated as personal conceptions of gender were disrupted. The paper argues for much-needed feminist education in schools, centring around: avoiding the …

Two Years Of Iqts: Its Current State, And Implications For English Itt By Distance Learning, Oliver C S Au Yeung

Plymouth Interdisciplinary Education Open Journal

International qualified teacher status (iQTS), a new programme which enables candidates to qualify while teaching overseas, marks one of the latest major developments in England’s teacher training system. This study endeavours to survey its current state and make an assessment of the nature of its training. The literature review situates the programme in the historical trajectory of English initial teacher training (ITT) and, in turn, the higher education and socio-economic contexts. As an analytic framework, Furlong’s fourfold categorisation of teachers’ knowledge is used to represent competing approaches to teacher training. It is argued that the liberal approach, emphasising a broad, …

The Impact Of Exercise On Albuminuria And Kidney Function In The 2nd And 3rd Trimesters Of Physiological Pregnancy, Wojciech Wołyniec, Andrzej Kochanowicz, Jan Mieszkowski, Łukasz Radzimiński, Marcin Renke, Anna Szumilewicz

Baltic Journal of Health and Physical Activity

Background: Physical activity is an important part of healthy lifestyle and should be continued during low-risk pregnancy. Several studies have suggested that most pregnant women had no contraindications to perform exercises. The aim of the study was to assess the acute effect of an exercise test up to refusal and a chronic impact of an 8-week HIIT program on albuminuria and kidney function in the 2nd and 3rd trimester of pregnancy. Material and Methods: A group of 36 pregnant women was studied. At the beginning of the study, all participants had normal kidney function and albuminuria at rest. Nineteen women …

System And Method For Automatically Selecting Context-Aware Llms Using A Reward-Based Multi-Objective Learning Mechanism, Sumit Kumar, Shivam Mohan, Ravi Shanker Kumar Sinha, Dheeraj Dhamija, Soumendra Kumar Mishra

Defensive Publications Series

The present disclosure provides a method and a system for automatically selecting context-aware large language models (LLMs) using a reward-based multi-objective learning mechanism. The method includes receiving an input task and extracting a corresponding context vector comprising one or more contextual attributes. The method includes computing, for each of a plurality of LLMs, a confidence-adjusted expected performance score using the context vector, the score being generated using a contextual learning algorithm. The method includes selecting at least one of the plurality of LLMs having the highest confidence-adjusted expected reward for the input task. The method includes executing the selected LLMs …

Lost In Translation: How The Criminal Justice System Fails Individuals With Autism, J.Mckenna Harris

Master of Arts in Human Services

Adults with autism spectrum disorder face significant challenges throughout the criminal justice system, from initial police contact through incarceration. This capstone examined how the core features of autism, literal language processing, difficulty reading social cues, sensory sensitivities, and executive function deficits, create vulnerabilities that legal professionals frequently misunderstand. The literature review revealed a consistent pattern: behaviors rooted in autism are routinely misinterpreted as signs of guilt, defiance, or lack of remorse. During interrogations, individuals with autism are highly susceptible to false confessions because they struggle with abstract legal language, tend to comply with authority figures, and cannot predict the consequences …

Connecting Business Innovation & Climate Impact, San Diego Regional Climate Collaborative, Alexander Pourfard, Aranza Ruvalcaba, Fowzia Farah

San Diego Regional Climate Collaborative

The La Mesa Green Business Network (GBN) is a City-led initiative developed in partnership with the San Diego Regional Green Business Network to advance local climate goals by engaging the business community in practical, measurable sustainability actions. Launched in 2022 as part of La Mesa’s Climate Action Plan, the GBN addresses common barriers faced by small and medium-sized businesses such as limited capacity, resources, and technical expertise by providing free, industry-specific consulting, certification, and public recognition. Through tailored guidance on energy efficiency, water conservation, waste reduction, and transportation practices, the program translates citywide climate objectives into on-the-ground action while delivering …

Impact Of Childhood Abuse And Trauma On Ptsd, Charlie Schultz

Master of Arts in Human Services

Child abuse and trauma is very present in our society today and there is a strong link between child abuse and PTSD. A strong literature review was carefully crafted that highlighted the importance of understanding PTSD and childhood trauma. Chapter two included a major in-depth look at the link between PTSD and childhood trauma and the lasting results. The literature review explained not only how PTSD is linked with childhood trauma, but it also included a really in depth look at PTSD and how it relates to some of the other known mental childhood disorders. The paper explained the major …

Post Traumatic Stress Disorders Within The Hmong Community, Keng Moua

Master of Arts in Human Services

The paper will provide an overview of who the Hmong folks are, the history of PTSD as well as some background knowledge of the mental health, and comparing them together. This paper will also dive a bit deeper to explore more about mental health in the Hmong community.

Chad Dobson Reflects On The Launch Of The World Bank Reform Campaign, Chad Dobson, Julie Radomski

Perspectives

Chad Dobson is the founder of the Bank Information Center (BIC) and led BIC from 1987 to 1997 and 2007 to 2016. He is widely accredited with developing the global campaign strategies for environmental and social reforms of multilateral development banks (MDB). In this interview, he recounts the early days of BIC and the development of the global campaign.

"Flyers In Chicago" Connects Pr Seniors With Windy City Alumni, Devin Chivers

College of Arts and Sciences Newsroom

The annual immersion trip connects UD public relations majors with PR professionals and alumni in Chicago.

Mission Command’S Asymmetric Advantage Through Ai-Driven Data Management, Sorin Adam Matei, Kyle Parris Reed

The US Army War College Quarterly: Parameters

Artificial intelligence can optimize mission command by condensing multisource field data that ascends the decision chain while distilling concise, decision-quality guidance to the tactical edge. Diverging from existing publications, this article positions information asymmetry as a defining pillar of mission command rather than a limitation. This article presents a condensation-distillation framework that manages complexity through data condensation, AI-driven distillation, and conceptual metrics to assess asymmetric information flows. Drawing on military doctrine, algorithmic-warfare literature, and current modernization programs, military practitioners will engage with a systems-thinking perspective, revealing how AI-enabled command and control can enhance decision clarity and reinforce the intent of …

Enhancing Readiness Of Novice Nurse Educators To Use Concept Mapping As An Active Learning Strategy, Kaitlyn Dutch

MSN Student Capstones

No abstract provided.

A Comparative Analysis Of Domestic Violence Legislation In India And The United States: Understanding Protection Of Women Against Violence Act 2005 And Violence Against Women Act 1994, Deon Rodrigues

2025 Fall Honors Capstones Projects - Archive

Domestic violence continues to affect millions of individuals worldwide, yet legal systems respond to it in very different ways. This research compares how India’s Protection of Women from Domestic Violence Act (2005) and the United States’ Violence Against Women Act (1994; 2021) protect victims and hold offenders accountable. Using a comparative legal analysis, the study examines both laws’ language, enforcement mechanisms, and effectiveness through court cases, government reports, and statistical data. By identifying the strengths of the United States model such as mandatory arrest provisions and victim support systems, the study aims to propose practical reforms for India’s legal framework. …

Effective Strategies To Reduce Burnout For Employees With High Workload Demands, Michelle Healy

Walden Dissertations and Doctoral Studies

Ineffective strategies to reduce burnout for employees can decrease productivity and quality of work, and can increase turnover. Event industry leaders who struggle to reduce burnout of employees with high workload demands are at risk of employee turnover. Grounded in the Job Demands-Resources (JD-R) model, the purpose of this qualitative, pragmatic inquiry research project was to explore effective strategies to reduce burnout for employees with high workload demands. The participants were eight event industry leaders who had effectively implemented strategies to reduce burnout. Data were collected using semistructured interviews and a review of public websites and documents. Using thematic analysis, …

Examining The Role Of Early Bilingualism On Interference Suppression And Prefrontal Connectivity, Matthew L. Cook, Lisa K. Boyce, Allison S. Hancock, Mackenzy S. Turner, Spencer D. Bradshaw

Human Development and Family Studies Student Research

Inhibitory control is a core cognitive function that is primarily associated with activation in the prefrontal cortex (PFC) and is the cognitive function that inhibits impulses, thoughts, and suppresses irrelevant information to an identified goal or task. Prior research suggests that bilingualism may affect brain activity related to inhibitory control, yet few studies have compared functional activity between monolingual and bilingual children. The current study used functional near-infrared spectroscopy (fNIRS) to examine region of interest comparisons and task-state functional connectivity across the PFC during an interference suppression Simon task with 13 bilingual (East Asian or Ibero-romance paired with English) and …

Kuleana Mākua: Native Hawaiian Parents' Exercise Of Agency In K-12 School Selection, Joseph Piikeha Kahaka`Ulamaikalaniki`Eki`E Hao

Theses and Dissertations

In this qualitative study the author investigates how Native Hawaiian parents on Hawai`i Island navigate educational choices for their children amidst a history of centralized, Western-dominated schooling and systemic cultural suppression. Grounded in Bandura’s Social Cognitive Theory (SCT), the research explores parent perceptions of different K–12 school types and the complex factors that drive their selection. Through semi-structured interviews and a card sort activity with sixteen Native Hawaiian parents (n = 16), the study confirms that parental choice is fundamentally an act of indigenous self-determination defined by Kuleana Mākua (parental responsibility, authority, and privilege). The findings reveal that parents’ choices …

Cv: Bruce Law (Educational Leadership), Bruce Law

Education Department Faculty Curricula Vitae

No abstract provided.

That’S Not Art! Artificial Intelligence And Its Role In The Arts, Molly Katherine Horn

Honors Program Theses and Projects

Artificial intelligence (AI) has been deeply integrated into our modern lives; from social media algorithms, to email summaries, to software that will write your essays, and even tools to photoshop relatives out of family photos. AI software is trained on countless data points. Famous artwork, philosophical texts, TikTok trends, movies, wars, and star-crossed stories. It is steadily becoming a collection of human history; learning and growing alongside us. Art, too, is a reflection of society; it informs us of our history, our cultures, our desires and dreams. Thus, it is only fitting that AI has become a tool to create …

Gauss’S Method For Orbital Determination, Milagros Tamara Giraldo

Honors Program Theses and Projects

Accurately predicting the orbital trajectory of celestial objects is essential for precise spacecraft navigation, planning planetary missions, avoiding potential collisions with space debris, and studying the long-term stability of planetary systems. Gauss’s method for orbital determination provides a way to predict the path of a celestial body accurately using only a small number of observations. In this project, we create an implementation that is not just a tool for executing Gauss’s method, but also an opportunity to study the formulation of the method itself. It allows for a practical and detailed examination of how different inputs, assumptions, and numerical choices …

An Analysis Of Ukrainians' Language Attitudes And Ideology: A Conflict-Catalyzed Language And Identity Shift, Kateryna Kravchenko

Theses and Dissertations

On February 24, 2022, the Russian Federation invaded Ukraine. According to Vladimir Putin's speech, the main goal of the war was to protect the Russian-speaking population of the Donbas region in eastern Ukraine. Many Ukrainians indeed speak Russian on a daily basis, largely due to the long and complicated history between the two countries. Recently, there has been an increase in pro-Ukrainian ideologies (Kulyk 2016); however, as the full-scale invasion began, people started advocating for Ukrainian usage in all public domains, and many even vowed to never speak Russian again. Since then, there has been a profound change in language …

Enhancing Silicon Sampling In Large Language Models: Fine-Tuning Techniques Using Survey Data, Davis P. Forster

Theses and Dissertations

Large language models (LLMs) are increasingly used to simulate responses of human demographic groups, a task known as silicon sampling. This paper investigates whether supervised fine-tuning can improve algorithmic fidelity in such settings. We construct a dataset from the General Social Survey (GSS), converting demographic attributes into natural-language backstories and randomly selecting one attribute as a held-out target. Fine-tuning a LLaMA-3.1-70B model on this dataset yields significant improvements on two tasks: (1) imputing missing attributes at the individual level, and (2) reproducing response distributions for demographic slices, such as racial and age groups. Notably, these improvements are achieved with minimal …

Fsec Meeting Minutes December 17, 2025, University Of Rhode Island Faculty Senate

Faculty Senate Executive Committee Minutes

No abstract provided.

Trauma Informed Education Practices: A Guide For Implementation For High Schools, Angie Byzewski

Dissertations, Theses, and Projects

Abstract

Trauma has an impact on all schools. Ignoring this fact can have serious implications for staff and students. School Counselors are Highly Educated and Licensed mental health professionals who understand how to safely implement a Trauma Informed Practices (TIP) model in schools. This training aims to improve safety and security among students and staff at the high school level. All schools in the Grand Forks Public School District implement Multi-Tiered Systems of Support (MTSS) for students. Utilizing these practices can be made more effective by setting up a foundation of Trauma Informed Practices. Several sources have stated that a …

Reframing The Nature Of Strategic Competition, Antulio J. Echevarria Ii

The US Army War College Quarterly: Parameters

In this Corner, Dr. Antulio J. Echevarria II, professor of strategic competition at the US Army War College, critiques the essential concepts underpinning US doctrine concerning intrastate strategic competition. In this, his inaugural contribution, Dr. Echevarria discusses the shortfalls in the Joint concept of interstate strategic competition, namely, its failure to capture the true nature of that competition. A more extensive reading of the scholarly literature on strategic rivalry suggests the nature of strategic competition should be reframed to align more closely with the nature of war.

The Feasibility Of Transaldolase Inhibitors As Anti-Cancer Therapeutics, Daniel Scot Baer

Chemistry and Biochemistry

Metabolism was a major focus of cancer research 100 years ago, but its prevalence declined in the latter part of the twentieth century. In the last several decades, however, it has become clear that cancer cells frequently modify their metabolic programs to enable both their survival and rapid proliferation. Transaldolase (TA), an enzyme within the pentose phosphate pathway, contributes to these outcomes when its activity is increased, yet for a variety of reasons inhibition of the enzyme has remained comparatively understudied. Since TA flux enables nucleotide production and high levels of NADPH synthesis, aberrant, cancer-causing signaling pathways often increase expression …

Cyber-Physical Framework For Smart Paint Manufacturing: Hybrid Integration Of Plc And Recipe Management Simulation, Stephen A. Michael, Anas M. Atieh, Emmanuel Nkwocha, Nathir A. Rawashdeh

Michigan Tech Publications

This study investigates the implementation of Industry 4.0 paradigms in the context of smart paint manufacturing, focusing on process control and recipe management through the integration of Ignition SCADA, a Siemens programmable logic controller (PLC), and a MySQL Workbench database. The developed architecture employs Ignition as an interoperable communication interface that facilitates bidirectional data exchange between the PLC and the database, thereby establishing a cyber-physical system for automated monitoring and control. The digital recipe management module formalizes paint formulations into parameterized datasets specifying paint and solvent ingredient ratios, process variables, and operational constraints, which are executed autonomously by the control …

Discourse, Power, And Pedagogy In Ai And Human-Designed Efl Lesson Plans: A Clil And Systemic Functional Linguistic Perspective, Christian D. Libunao, Vincent A. Morales

Journal of English and Applied Linguistics

The integration of generative artificial intelligence (GAI) into English language teaching (ELT) raises important questions about how AI-generated lesson plans shape pedagogy, interaction, and ideology compared to human-designed materials. This study examines how ChatGPT-generated lesson plans converge with or diverge from those published by the British Council, with particular attention to teacher and learner roles, classroom power dynamics, and pedagogical scaffolding. A triadic framework combining systemic functional linguistics (SFL), critical discourse analysis (CDA), and content and language integrated learning (CLIL) was applied to three British Council lesson plans and three thematically matched ChatGPT outputs. Findings reveal that both sets of …

Framing Of Immigration In The News And Its Effects On Social Media Discourse On The Southcoast Of Massachusetts, Mariel Surprenant

Political Science Undergraduate Theses

Why do immigrant communities often express anti-immigrant sentiment? This study will focus on examining what political discourse about immigration dominates the news ecosystem of the Southcoast of Massachusetts, and what effect that discourse has. Immigration in the U.S. has become an increasingly politicized issue, dominating political discourse, motivating voter behavior, and shaping regional political identities. This study will use content analysis of Southcoast newspapers to examine how the local news frames immigration and discourse analysis to examine the opinions of everyday citizens revealed as by their social media comments on posts about immigration by the same local news sources. The …

Brief Of The Notre Dame Education Law Project, Islam And Religious Freedom Action Team, Jewish Coalition For Religious Liberty, And Manhattan Institute As Amici Curiae In Support Of Petitioners, John A. Meiser, Meredith Holland Kessler, Domenic Canonico

Court Briefs

No. 25-581
St. Mary Catholic Parish v. Lisa Roy

On Petition for Writ of Certiorari to the United States Court of Appeals for the Tenth Circuit

From the Summary of Argument

Three times in the last eight years, this Court has struck down efforts to exclude religious institutions from otherwise available funding programs. Each time, opponents of the Court’s decisions have sought to riddle them with holes, requiring the Court to intervene to prevent its rulings—and the First Amendment’s command against religious discrimination—from being so easily evaded. Regrettably, this Court must step in again, as some states, like Colorado, still …

Comparative Analysis Of Machine Learning And Statistical Models For Railroad–Highway Grade Crossing Safety, Erickson Senkondo, Deo Chimba, Masanja Madalo, Afia Yeboah, Shala Blue

Civil and Architectural Engineering Faculty Research

Railroad-highway grade crossings (RHGCs) are critical points of conflict between roadway and rail systems, contributing to over 2000 crashes and 250 fatalities annually in the United States. This study applied machine learning methods (ML) techniques to model and predict crash frequency at RHGCs, using a comprehensive dataset from the Federal Railroad Administration (FRA) and Tennessee Department of Transportation (TDOT). The dataset included 807 validated crossings, incorporating roadway geometry, traffic volumes, rail characteristics, and control features. Five ML models—Random Forest, XGBoost, PSO-Elastic Net, Transformer-CNN, and Autoencoder-MLP—were developed and compared to a traditional Negative Binomial (NB) regression model. Results showed that ML …