Digital Commons Network^™

The Forgotten Occupation In Stroke Rehabilitation: Use Of Keyform Mapping To Address Sleep Disturbance & Student Research Therapist Experience, Erin Elenz

Entry-Level Occupational Therapy Doctorate - Doctoral Capstone Symposium

Purpose: The purpose of this MUSC Occupational Therapy (OT) Doctoral Capstone project was to elucidate the concept of post-stroke sleep disturbance by 1) gathering quantitative data from stroke patients using a sleep disturbance questionnaire, 2) conducting qualitative interviews to understand stroke patients' subjective experiences of sleep disturbance, and 3) utilizing Rasch item response theory analysis to develop a person-item map, i.e., a “keyform”, that visualizes the interplay between a patient's sleep disturbance severity-level and specific sleep disturbance symptoms that the patient demonstrates.

Background: Sleep disturbances (SD) affect over 50% of stroke survivors, negatively impacting recovery and increasing risk of mortality …

Doctor Or Ai? Efficient Neural Network For Response Classification In Health Consultations, Olumide E. Ojo, Olaronke O. Adebanji, Hiram Calvo, Alexander Gelbukh, Anna Feldman, Ofir Ben Shoham

School of Computing Faculty Scholarship and Creative Works

Patients seek quality healthcare because they trust their doctors and the healthcare system. However, the use of AI models in medical consultations has undermined this trust. AI systems typically depend on accurate and large volumes of data for training, but in cases of insufficient or incorrect data, this can lead to incomplete or flawed outputs. The inaccuracies in the response generated by AI systems may result in biased outcomes, compromising patient care and further eroding the trust patients place in the healthcare system. In this paper, we describe an innovative approach to distinguishing between responses generated by AI and those …

Characterization Of Human Trust In Robot Through Multimodal Physical And Physiological Biometrics In Human-Robot Partnerships, Jesse Parron, Rui Li, Weitian Wang, Mengchu Zhou

School of Computing Faculty Scholarship and Creative Works

Trust is an attribute that many people use daily, whether consciously thinking of it or not. Although commonly designated as a firm belief in reliability, trust is more complex than many think. It is not just physical, but rather an emotion, feeling, or choice that has many layers, and can be influenced in a variety of ways. As robotics and artificial intelligence grow, humans have to deliberate whether they trust working with these technical counterparts or not. In this work, we build computational models to quantitatively characterize and analyze humans' trust in robots using multimodal physical and physiological biometric data …

Report On The Multilingual Euphemism Detection Task, Patrick Lee, Anna Feldman

School of Computing Faculty Scholarship and Creative Works

This paper presents the Multilingual Euphemism Detection Shared Task for the Fourth Workshop on Figurative Language Processing (FigLang 2024) held in conjunction with NAACL 2024. Participants were invited to attempt the euphemism detection task on four different languages (American English, global Spanish, Yorùbá, and Mandarin Chinese): given input text containing a potentially euphemistic term (PET), determine if its use is euphemistic or not. We present the expanded datasets used for the shared task, summarize each team’s methods and findings, and analyze potential implications for future research.

Meds For Pets: Multilingual Euphemism Disambiguation For Potentially Euphemistic Terms, Patrick Lee, Alain Chirino Trujillo, Diana Cuevas Plancarte, Olumide Ebenezer Ojo, Xinyi Liu, Iyanuoluwa Shode, Yuan Zhao, Jing Peng, Anna Feldman

School of Computing Faculty Scholarship and Creative Works

This study investigates the computational processing of euphemisms, a universal linguistic phenomenon, across multiple languages. We train a multilingual transformer model (XLM-RoBERTa) to disambiguate potentially euphemistic terms (PETs) in multilingual and cross-lingual settings. In line with current trends, we demonstrate that zero-shot learning across languages takes place. We also show cases where multilingual models perform better on the task compared to monolingual models by a statistically significant margin, indicating that multilingual data presents additional opportunities for models to learn about cross-lingual, computational properties of euphemisms. In a follow-up analysis, we focus on universal euphemistic “categories” such as death and bodily …

A Speech And Facial Information Based Emotion Recognition System Of Collaborative Robot For Empathic Human-Robot Collaboration, Jianna Loor, Jordan Murphy, Rui Li

School of Computing Faculty Scholarship and Creative Works

A robot's ability to effectively recognize human emotions is critical in human-robot collaboration. However, most of the current collaborative robots were designed to improve productivity. Few of these robots consider human emotions. This situation would cause humans to be unwilling to work with robots for a long time. Motivated by this gap, this research developed a human emotion recognition system for enhancing the interaction abilities of collaborative robots. In this project, both speech and facial information were analyzed for robust human emotion recognition in complex working environments like manufacturing assembly environments. In the experiment, the developed system has been tested …

Using Generative Large Language Models For Hierarchical Relationship Prediction In Medical Ontologies, Hao Liu, Shuxin Zhou, Zhehuan Chen, Yehoshua Perl, Jiayin Wang

School of Computing Faculty Scholarship and Creative Works

This study extends the exploration of ontology enrichment by evaluating the performance of various open-sourced Large Language Models (LLMs) on the task of predicting hierarchical relationships (IS-A) in medical ontologies including SNOMED CT Clinical Finding and Procedure hierarchies and the human Disease Ontology. With the previous finetuned BERT models for hierarchical relationship prediction as the baseline, we assessed eight open-source generative LLMs for the same task. We observed only three models, without finetuning, demonstrated comparable or superior performance compared to the baseline BERT -based models. The best performance model OpenChat achieved a macro average F1 score of 0.96 (0.95) on …

Turkish Delights: A Dataset On Turkish Euphemisms, Hasan Can Biyik, Patrick Lee, Anna Feldman

School of Computing Faculty Scholarship and Creative Works

Euphemisms are a form of figurative language relatively understudied in natural language processing. This research extends the current computational work on potentially euphemistic terms (PETs) to Turkish. We introduce the Turkish PET dataset, the first available of its kind in the field. By creating a list of euphemisms in Turkish, collecting example contexts, and annotating them, we provide both euphemistic and non-euphemistic examples of PETs in Turkish. We describe the dataset and methodologies, and also experiment with transformer-based models on Turkish euphemism detection by using our dataset for binary classification. We compare performances across models using F1, accuracy, and precision …

Personalizing Text-To-Image Diffusion Models By Fine-Tuning Classification For Ai Applications, Rafael Hidalgo, Nesreen Salah, Rajiv Chandra Jetty, Anupama Jetty, Aparna S. Varde

School of Computing Faculty Scholarship and Creative Works

Stable Diffusion is a captivating text-to-image model that generates images based on text input. However, a major challenge is that it is pretrained on a specific dataset, limiting its ability to generate images outside of the given data. In this paper, we propose to harness two models based on neural networks, Hypernetworks and DreamBooth, to allow the introduction of any image into Stable Diffusion, addressing versatility with minimal additional training data. This work targets AI applications such as augmenting next-generation multipurpose robots, enhancing human-robot collaboration, feeding intelligent tutoring systems, training autonomous cars, injecting subjects for photo personalization, producing high quality …

Defining 'Victim' Through Harm: Crime Victim Status In The Crime Victims' Rights Act And Other Victims' Rights Enactments, Paul Cassell, Michael Ray Morris

Utah Law Faculty Scholarship

Who qualifies as a “victim” is the foundational question for the Crime Victims’ Rights Act (“CVRA” or “Act”) and other crime victims’ rights laws. This article provides the first comprehensive exploration of this “victim” definition question. It traces how the CVRA (and many states) define “victim” as broadly covering anyone who has been harmed as the result of a crime. This article begins by reviewing how the definition of “victim” has evolved in the criminal justice system since the Nation’s founding. In the last several decades, as crime victims’ rights protections have proliferated, it has become necessary to define “victim” …

Moral Panic And The First Amendment, Michael L. Smith

Faculty Articles

Debates over free speech in the United States frequently see advocates of strong, broad protections at odds with those who argue that unfettered free speech tends to harm society's most vulnerable. Free speech advocates invoke the marketplace of ideas and argue that the antidote to false or harmful speech is more speech. In response, critics contend that speech itself causes harm and chills counter-speech effectively excluding marginalized groups, including women and LGBTQ people, from discourse altogether. These critics support limitations on robust free speech doctrine targeting speech that harms marginalized communities.

This Article identifies a significant wrinkle in this narrative: …

Oil & Gas And Corpus Linguistics, Chad J. Pomeroy

Faculty Articles

Oil and gas law focuses on the subsurface mineral estate, which is just what it sounds like: the estate that entitles one to the subsurface, to the stuff that is underground. That, of course, includes the minerals under a given piece of property, and the value associated with that is enormous. So, it is a big deal to have the right to minerals, and, if I convey to you "the mineral estate" of Blackacre or "the minerals under Blackacre" or something similar, then I have given you something very significant, indeed. As such, it is critical to know just what …

Milk Tooth, 2024, Bemidji State University, Eddie Anderson, Caroline Bender, Connor Brahms, Kendra Carriere, Shawn Cruze, Madelyn Dakken, Liz Fisher, Donovan Floyd, Brooke Froehle, Eve Gwendolyn Hansen, Gordon Hess, Sadie House, Iris Jensen, Lacey Lacey, Hannah Lewis, Marissa Marxhausen, Izzy Mcclintic, Jenika Moen, Emma Niessink, Grace Roecker, Lauren Winkelman, Nicholas Wolter

Milk Tooth

"Writings by Bemidji State University Students."  Sponsored by the Bemidji State University English Department.

Why Should Early-Career Scientists Publish In Society Journals, Stephen K. Dolan, Lori D. Banks, Wenqi Yu

Molecular Biosciences Faculty Publications

In this editorial, written by early-career scientists, we advocate for the invaluable role of society journals in our scientific community. By choosing to support these journals as authors, peer reviewers, and as editors, we can reinforce our academic growth and benefit from their re-investment back into the scientific ecosystem. Considering the numerous clear merits of this system for future generations of microbiologists and more broadly, society, we argue that early-career researchers should publish our high-quality research in society journals to shape the future of science and scientific publishing landscape.

The Inaugural Mbio Junior Editorial Board—Lessons Learned And The Path Forward Toward Improving The Peer Review Process, Cynthia Ayefoumi Adinortey, Stephen K. Dolan, Sarah Doore, Rebeccah Lijek, Diana Priscila Pires, Wenqi Yu, Elizabeth B. Draganova, Lennart Schada Von Borzyskowski

Molecular Biosciences Faculty Publications

The inaugural Junior Editorial Board (JEB) of mBio consisted of 64 early-career researchers active from 2022 to 2023. The goal of the JEB was to train early-career researchers in the art of peer review under the guidance of experienced editors. JEB members gained hands-on experience in peer review by participating in modules detailing the publishing process through the lenses of the journal, editor, and reviewer. Ultimately, JEB members applied this new knowledge by reviewing mBio manuscripts. Here, we summarize the background, the mission, and the achievements of the first mBio JEB. We also include possible trajectories for the future editions …

Escape The Planet: Revolutionizing Game Design With Novel Oop Techniques, Qusai Kamal Fannoun

All Graduate Theses, Dissertations, and Other Capstone Projects

Mobile devices are continuously evolving and greater computing power and graphics capabilities are being introduced every year. As a result, there is an increasing demand for challenging and engaging mobile games that leverage these advanced features. This project explores best design practices using the development of Escape the Planet, which is an intricate maze game for mobile devices in which players navigate using a spaceship that is trapped in a hostile planet’s maze while avoiding obstacles and enemy attacks. The goal is to safely guide the spaceship out of the maze without colliding into walls or taking bullets from defensive …

A Gift That Keeps On Giving: The Egmond Dedication Miniatures In The Light Of Aristocratic Donation Activity Around 1000, Gregor Von Kerssenbrock-Krosigk

Peregrinations: Journal of Medieval Art and Architecture

No abstract provided.

Heavenly Court: The Lady Chapel At St. Albans, Isabelle Ostertag

Peregrinations: Journal of Medieval Art and Architecture

No abstract provided.

The Present Absence: Eyewitnesses, Pilgrims, And The Anastasis Rotunda In The St. Albans Psalter, Stephen Westich

Peregrinations: Journal of Medieval Art and Architecture

No abstract provided.

Whs Guidelines For The Treatment Of Pressure Ulcers: 2023 Update, Lisa J. Gould, Jenny Alderden, Rummana Aslam, Adrian Barbul, Kath M. Bogie, Mohamed El Masry, Letitia Y. Graves, E. Foy White-Chu, Amany Ahmed, Kerriann Boanca, Jessica Brash, Katie R. Brooks, Wendy Cockron, Susan M. Kennerly, Aaron K. Livingston, Jeni Page, Catherine Stephens, Velena West, Tracey L. Yap

Nursing Faculty Publications and Presentations

The major populations at risk for developing pressure ulcers are older adults who have multiple risk factors that increase their vulnerability, people who are critically ill and those with spinal cord injury/disease. The reported prevalence of pressure ulcers in the United States is 2.5 million. However, this estimate is derived from acute care facilities and does not include people who are living at home or in nursing facilities. Despite the implementation of hospital and facility-based preventive measures, the incidence of pressure ulcers has not decreased in decades. In addition to the burden of pain, infection and death, it is estimated …

Household Chaos Relates To Cortisol Levels For Children In Head Start Preschool, Mary Ann Blumenthal

West Chester University Doctoral Projects

Poverty and related stressors have been demonstrated to negatively impact child development. Few studies to date have investigated the relationship between one such poverty related stressor, household chaos, and its impact on cortisol levels-a biomarker for stress- throughout the day. The present study investigated the relationship between household chaos and cortisol in a diverse sample of 288 children attending Head Start preschool. Household chaos was measured by a standardized parent report measure of chaos in the home. Salivary cortisol samples were obtained during four time points across the preschool day on two days at the beginning of the preschool year. …

Cognitive Functioning In Well-Controlled Asthma, Erin Walsh

West Chester University Doctoral Projects

Asthma is a common lung disease that impacts lung functioning through inflammatory based mechanisms. Past research suggests that decreased blood oxygenation due to asthma attacks may impair cognitive capabilities (Irani et al., 2017). Moreover, the observed differences in cognition between those with and without asthma may be associated with disease severity or asthma control respectively in asthma populations. The current study explored differences in cognitive functioning between college students with and without self-reported asthma. Sociodemographic data, self-reported asthma severity, and measures of asthma control were collected. The current study did not find significant differences in measures of cognitive efficiency between …

Applying Executive Function For The Sake Of Well-Being: A Case Study Of Gifted Middle School Students, Erika Lucas

West Chester University Doctoral Projects

This study provided gifted middle school student participants the opportunity to discuss the complexities of gifted culture in academia as they have experienced it. This study also sought to pinpoint the emotions or feelings that students and their parents experienced as they transition to high school concerning their perceived sense of confidence and readiness as it pertained to executive function. Gen Z students deemed "gifted" are at a higher risk for depression and suicide due to the rising levels of stress and anxiety they experience (Andrews, 2014). Klimkeit et al. (2011) discovered that teenagers with depression and/or anxiety disorders exhibited …

Cortisol And Executive Functioning For Young Children Attending Head Start Preschool, Zachary Weaver

West Chester University Doctoral Projects

Poverty circumstances impact the hypothalamic-pituitary-adrenal or HPA axis. Early childhood dysfunction in the HPA axis, marked by irregularities in cortisol, poses risk for the development of key executive functioning (EF) abilities. No studies have investigated the relation between cortisol and performance-based measures of EF in settings such as Head Start preschool that aim to promote positive outcomes for children facing economic hardship. This pilot study examined EF and cortisol for 50 children ages 3 to 5 years, who attended a Head Start preschool. This study was disrupted by the COVID-19 pandemic, which led to a sample size less than half …

Exploring Perceptions Of Self-Compassion In Individuals With Complex Trauma Symptomology: A Qualitative Approach, Brooke Roseman

West Chester University Doctoral Projects

The aim of the present study sought to explore the perceptions of self-compassion through the perspectives of individuals who experience complex trauma symptomology and low rates of self-compassion to inform and enhance trauma treatment. Despite a growing accumulation of studies implicating self-compassion as an integral construct for alleviating symptoms associated with complex trauma, most research designs were quantitative and did not investigate the internal processes occurring within the individual. Based on this gap, the current study expanded the scope of the current literature to include a qualitative thematic analytic approach to better understand the nuances of how this population relates …

Screening For Postpartum Depression In Mothers Whose Newborns Are Admitted To The Nicu: A Quality Improvement Project, Megan Mustachio

West Chester University Doctoral Projects

Women whose newborns are admitted to the Neonatal Intensive Care Unit (NICU) are at an increased risk to experience feelings associated with Post-partum Depression (PPD) than women whose newborns are not. The screening of this population is imperative for early identification and dissemination of community resources as a source of early intervention. The purpose of this project is to increase the number of screenings performed on the new mothers at the bedside of their NICU admitted newborn and deliver the screen to the NICU Social Work department for early intervention, and resources. This quality improvement project used a six-week retrospective …

Understanding The Experiences Of A First Grade Class With Explicit Phonics Instruction: A Qualitative Case Study, Haley Fry

West Chester University Doctoral Projects

The reading wars in American education have raged on with the most recent Science of Reading movement, with the discussion centered around phonics. This qualitative case study examined a real first-grade class as they experienced explicit phonics instruction within the context of a classroom environment in public elementary school in northeastern United States. Participants of this study included eight first-grade students and one first-grade teacher, in one first-grade class. Data collection was broken down into two phases that were rooted in Social Constructivism’s Zone of Proximal Development and Ehri’s Phases of Word Learning Theory. Phase I consisted of classroom observations …

Evaluating Change In Teacher Stress, Burnout, And Classroom Behavior In A School Implementing A New Mindfulness-Based Curriculum, Emily Hershorin

West Chester University Doctoral Projects

Teachers experience higher job stress compared to non-human service professionals (Braun et al., 2019), leading to burnout and negative perceptions of work and students (Arens & Morin, 2016; Yong & Yue, 2007). Mindfulness training has been effective in reducing stress and burnout in teachers (Meiklejohn et al., 2012; Roeser et al., 2013; Fabbro et al., 2020; Guidetti et al., 2019), potentially aiding emotional support for students. However, its benefits for teachers in underserved, bilingual schools remain understudied despite their heightened stress levels. This study aimed to address this gap.

The study had three aims. Firstly, to examine if teachers’ self-reported …

Power To Elect: Voter Perception Of Accessibility In North Carolina, Kristi Langford

West Chester University Doctoral Projects

North Carolina has been the subject of controversy surrounding voting rights for many years. Those controversies include voting ID laws, voter intimidation at the polls, and systematic changes to early voting times, dates, and locations. The North Carolina General Assembly has been accused of gerrymandering the district maps to dilute the vote of Democrats and people of color. This study looks at how registered voters in North Carolina perceive their access to voting despite the controversies. Two hypotheses were tested: those in North Carolina who were people of color or of lower socio-economic standing would feel they have a higher …

Enhancing Commercial Driver Safety Screening For Obstructive Sleep Apnea Through Educational Intervention, Wendy Mortimer

West Chester University Doctoral Projects

This quality improvement project aimed to identify if an educational intervention will increase obstructive sleep apnea (OSA) screening in commercial medical drivers over six weeks. Eight healthcare providers certified as commercial medical examiners from a national occupational company in central Pennsylvania engaged in an optional educational poster for two weeks. A pre-and post-educational retrospective chart review was performed on 80 charts, 40 from pre-educational and 40 from post-educational. Each chart was reviewed to determine if the commercial driver was at risk for OSA and, if so, if the commercial medical examiner performed an obstructive sleep apnea screening. The educational intervention …