Digital Commons Network^™

Toward The Application Of Natural Language Processing In Electronic Health Record Analysis For Taxonomy Development, Latoya Mcdonald

All Dissertations

Electronic health records (EHRs) are pivotal resources for nurse practice because they increase the timeliness and reliability of patient information at the point of care and support access by multiple healthcare providers and the individual patients themselves. However, it is widely recognized that data extraction from EHRs is challenging due to the variability in the language used in clinical care notes and the lack of standardized terminology across healthcare systems. The broad objective of this dissertation is to develop taxonomy-based classification models for nursing care by applying feature engineering approaches to EHRs that include nursing care of ostomy patients following …

Development Of Small-Molecule Inhibitors For Bacteroides, Naegleria, And Toxoplasma Microorganisms And Synthesis Of N-Heterocycles From Thiolated Ene-Ynes And Azodicarboxylates, Samuel Kwain

All Dissertations

Humans and microorganisms are intricately interconnected, with microbes constituting an essential component of human biology and ecology. This interdependence necessitates a delicate balance between leveraging beneficial microbes and mitigating the impact of harmful ones. The human gut microbiome, home to trillions of microorganisms, predominantly comprises commensal species that support health. However, dysbiosis within this ecosystem has been linked to serious diseases. For instance, an overrepresentation of Bacteroides species is associated with Type I diabetes mellitus (T1D) and various chronic gut disorders, including ulcerative colitis, inflammatory bowel disease, celiac disease, and colorectal cancer. Similarly, Naegleria fowleri, a free-living amoeba, causes …

Evaluating Surge Capacity In The Emergency Department: A Comprehensive Literature Review On Preparedness And Response Frameworks, Tanner J. Riscoe

Capstone Experience: Master of Public Health

Medical surge capacity in emergency departments is influenced by four critical factors: staff, stuff, space, and systems. Understanding these factors and the interplay between them is critical. Emergency departments are increasingly encountering issues with overcrowding, patient boarding, and medical surge events causing interruptions in care and depleting critical resources. Coordination of medical surge is challenging during normal operations but is intensified during times of crisis. This comprehensive literature review seeks to better understand the current state of the literature surrounding surge preparedness and response in emergency departments across the United States, identify gaps in the current literature, and ultimately recommend …

Machine Learning And Protein Engineering Approaches To Understanding Kinesin-5 Activity, Jason Eden Sanchez

Open Access Theses & Dissertations

Cancer is a term describing a collection of diseases that result in uncontrolled cell growth. Cancer has manifold etiologies and underlying cancers are rouge biochemical pathways involving many different proteins. In the current work, two approaches are used to enhance knowledge of kinesin-5, a potential cancer target involved in cell division. Kinesin-5 promotes cell division by cross-linking and separating microtubules in dividing cells. The first approach uses machine learning (ML) to identify small molecule inhibitors for kinesin-5. Though decades of research have uncovered classes of small-molecules which inhibit kinesin-5 in vitro and in vivo, no candidates have reached phase III …

Oculomics: Current Concepts And Evidence, Zhuoting Zhu, Yueye Wang, Ziyi Qi, Wenyi Hu, Xiayin Zhang, Siegfried K Wagner, Yujie Wang, An Ran Ran, Joshua Ong, Ethan Waisberg, Mouayad Masalkhi, Alex Suh, Yih Chung Tham, Carol Y Cheung, Xiaohong Yang, Honghua Yu, Zongyuan Ge, Wei Wang, Bin Sheng, Yun Liu, Andrew G Lee, Alastair K Denniston, Peter Van Wijngaarden, Pearse A Keane, Ching-Yu Cheng, Mingguang He, Tien Yin Wong

Faculty, Staff and Student Publications

The eye provides novel insights into general health, as well as pathogenesis and development of systemic diseases. In the past decade, growing evidence has demonstrated that the eye's structure and function mirror multiple systemic health conditions, especially in cardiovascular diseases, neurodegenerative disorders, and kidney impairments. This has given rise to the field of oculomics-the application of ophthalmic biomarkers to understand mechanisms, detect and predict disease. The development of this field has been accelerated by three major advances: 1) the availability and widespread clinical adoption of high-resolution and non-invasive ophthalmic imaging ("hardware"); 2) the availability of large studies to interrogate associations …

Biophysical Studies Of Nucleic Acid - Small Molecule Recognition, Andrea Conner

All Dissertations

The presented work is a collection of studies performed to examine small molecule recognition of nucleic acids. Recognition of nucleic acids was examined using two types of small molecules: aminoglycosides and Hoechst dyes. Chapter One focuses on established experimental techniques (i.e. absorbance, isothermal titration calorimetry, flow cytometry, cell microscopy, etc.) in small molecule recognition of nucleic acids. The emphasis of studies in the group has been on two focus areas. (i) Thermodynamic characterization of mixed A-form and B-form DNA or RNA conformation with aminoglycosides, particularly neomycin-class. (ii) Characterization of new Hoechst-morpholine (HT-MO) derivatives’ interactions with nucleic acids.

Focus area (i) …

The Efficacy Of Incorporating Artificial Intelligence (Ai) Chatbots In Brief Gratitude And Self-Affirmation Interventions: Evidence From Two Exploratory Experiments, Jing Wen Hung, Andree Hartanto, Adalia Y.H. Goh, Zoey K.Y. Eun, K. T. A. Sandeeshwara Kasturiratna, Zhi Xuan Lee, Nadyanna M. Majeed

Research Collection School of Social Sciences

Numerous studies have demonstrated that positive psychology interventions, including brief interventions, can significantly improve well-being outcomes. These findings are particularly important given that many of these interventions are brief and self-administered, making them both accessible and scalable for large populations. However, the efficacy of positive psychology interventions is often constrained by small effect sizes. In light of advancements in generative Artificial Intelligence (AI), this study explored whether integrating AI chatbots into positive psychology interventions could enhance their efficacy compared to traditional self-administered approaches. Study 1 examined the efficacy of a gratitude intervention delivered through Snapchat's My AI, while Study 2 …

Exploring The Biasing Effects Of Gender On Personality Disorder Diagnoses Formulated By Artificial Intelligence, Zoe Colclough

Student Theses

Gender bias is prevalent in personality disorder assessments, and while artificial intelligence has been posited as a solution to improve diagnostic objectivity and accuracy, the potential for such technologies to propagate human gender bias in mental health contexts remains underexplored. This study investigated the influences of gender bias on the diagnostic performance of ChatGPT-4o for personality disorders using three factorial research designs, which involved experimentally manipulating patient gender in a combined sample of 360 vignettes and case studies. Vignettes were synthesized through a novel artificial intelligence-assisted methodology established for this research, and case studies were identified from the literature. Significant …

High-Dimensional Mediation Analysis For Longitudinal Mediators And Survival Outcomes, Lili Liu, Haixiang Zhang, Yinan Zheng, Tao Gao, Cheng Zheng, Kai Zhang, Lifang Hou, Lei Liu

2020-Current year OA Pubs

Mediation analysis with high-dimensional mediators is crucial for identifying epigenetic pathways linking environmental exposures to health outcomes. However, high-dimensional mediation analysis methods for longitudinal mediators and a survival outcome remain underdeveloped. This study fills that gap by introducing a method that captures mediation effects over time using multivariate, longitudinally measured time-varying mediators. Our approach uses a longitudinal mixed effects model to examine the relationship between the exposure and the mediating process. We connect the mediating process to the survival outcome using a Cox proportional hazards model with time-varying mediators. To handle high-dimensional data, we first employ a mediation-based sure independence …

The Role Of Mindset In The Academic Resilience Of Non-Residential Health Profession Students: A Phenomenological Study, Julie Lynn Branagan

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to describe the lived experiences of academic resilience of non-residential healthcare students in rural regions of the Northeast United States. The theoretical framework guiding this study was Carol Dweck's theory on growth mindset, as it exposed the relationship of personal perspective on academic resiliency. This study attempted to answer the central research question: What are the lived experiences of academic resilience among non-residential health profession students? An extensive review of the literature revealed the compounding aspects of resilience research with specific attention to health profession students. Data collection methods included a letter-writing …

Early Prediction Of Mortality And Morbidities In Vlbw Preterm Neonates Using Machine Learning, Chi-Hung Shu, Rema Zebda, Camilo Espinosa, Jonathan Reiss, Anne Debuyserie, Kristina Reber, Nima Aghaeepour, Mohan Pammi

Faculty, Staff and Students Publications

Background: Predicting mortality and specific morbidities before they occur may allow for interventions that may improve health trajectories.

Hypothesis: Integrating key maternal and postnatal infant variables in the first 2 weeks of age into machine learning (ML) algorithms will reliably predict survival and specific morbidities in VLBW preterm infants.

Methods: ML algorithms were developed to integrate 47 features for predicting mortality, bronchopulmonary dysplasia (BPD), neonatal sepsis, necrotizing enterocolitis (NEC), intraventricular hemorrhage (IVH), cystic periventricular leukomalacia (PVL), and retinopathy of prematurity (ROP). A retrospective cohort (n = 3341) was used to train and validate the models with a repeated 10-fold cross-validation …

Brain Morphometry In Infants Later Diagnosed With Autism Is Related To Later Language Skills, Luke E Moraglia, Kelly N Botteron, Natasha Marrus, Et Al.

2020-Current year OA Pubs

Autism spectrum disorder (ASD) presents early in life with distinct social and language differences. This study explores the association between infant brain morphometry and language abilities using an infant-sibling design. Participants included infants who had an older sibling with autism (high likelihood, HL) who were later diagnosed with autism (HL-ASD; n = 31) and two non-autistic control groups: HL-Neg (HL infants not diagnosed with autism; n = 126) and LL-Neg (typically developing infants who did not have an older sibling with autism; n = 77). Using a whole-brain approach, we measured cortical thickness and surface area at 6 and 12 …

Assessing Chatgpt's Capability As A New Age Standardized Patient: Qualitative Study, Joseph Cross, Tarron Kayalackakom, Raymond E. Robinson, Andrea Vaughans, Roopa Sebastian, Ricardo Hood, Courtney Lewis, Sumanth Devaraju, Prasanna Honnavar, Nikhilesh Anand

School of Medicine Publications

Background: Standardized patients (SPs) have been crucial in medical education, offering realistic patient interactions to students. Despite their benefits, SP training is resource-intensive and access can be limited. Advances in artificial intelligence (AI), particularly with large language models such as ChatGPT, present new opportunities for virtual SPs, potentially addressing these limitations.

Objectives: This study aims to assess medical students' perceptions and experiences of using ChatGPT as an SP and to evaluate ChatGPT's effectiveness in performing as a virtual SP in a medical school setting.

Methods: This qualitative study, approved by the American University of Antigua Institutional Review Board, involved 9 …

Cortical Structure In Nodes Of The Default Mode Network Estimates General Intelligence, Abhinav Yadav, Archana Purushotham

Faculty, Staff and Students Publications

Introduction: A growing number of studies implicate functional brain networks in intelligence, but it is unclear if network nodal structure relates to intelligence.

Methods: Using MRI, we studied the relationship of the general intelligence factor (g) with cortical thickness (CT), local gyrification index (LGI), and voxel-based morphometry in the nodes of the default mode network (DMN) and task-positive network (TPN) in a cohort of 44 young, healthy adults. Employing a novel strategy, we performed repeated analyses with multiple sets of g estimates to remove false positives.

Results: CT and LGI in medial and temporal nodes of the DMN were reliably …

Digital Twins, Synthetic Patient Data, And In-Silico Trials: Can They Empower Paediatric Clinical Trials?, Mohan Pammi, Prakesh S Shah, Liu K Yang, Joseph Hagan, Nima Aghaeepour, Josef Neu

Faculty, Staff and Students Publications

Randomised controlled trials are the gold standard to assess the effectiveness and safety of clinical interventions; however, many paediatric trials are discontinued early due to challenges in patient enrolment. Hence, most paediatric clinical trials suffer from lack of adequate power. Additionally, trials are expensive and might expose patients to unproven therapies. Alternatives to overcome these issues using virtual patient data—namely, digital twins, synthetic patient data, and in-silico trials—are now possible due to rapid advances in digital health-care tools and interventions. However, such digital innovations have been rarely used in paediatric trials. In this Viewpoint, we propose using virtual patient data …

Recommendations For Design, Execution, And Reporting Of Studies On Experimental Thoracic Aortopathy In Preclinical Models, Alan Daugherty, Dianna M Milewicz, David A Dichek, Ketan B Ghaghada, Jay D Humphrey, Scott A Lemaire, Yanming Li, Ziad Mallat, Yvan Saeys, Hisashi Sawada, Ying H Shen, Toru Suzuki, Zhen Zhou

Faculty, Staff and Students Publications

There is a recent dramatic increase in research on thoracic aortic diseases that includes aneurysms, dissections, and rupture. Experimental studies predominantly use mice in which aortopathy is induced by chemical interventions, genetic manipulations, or both. Many parameters should be deliberated in experimental design in concert with multiple considerations when providing dimensional data and characterization of aortic tissues. The purpose of this review is to provide recommendations on guidance in (1) the selection of a mouse model and experimental conditions for the study, (2) parameters for standardizing detection and measurements of aortic diseases, (3) meaningful interpretation of characteristics of diseased aortic …

Opioid Epidemic In Maine: An Analysis Of Increasing Overdose-Related Deaths Following The Coronavirus, Aysel S. Hamlin

Thinking Matters Symposium

The rate of drug overdose resulting in death doubled in Maine following the COVID-19 pandemic from the onset of the COVID-19 pandemic in late 2019 through 2022. The correlation between increased isolation during the pandemic and overdose death rates sheds a concerning light on the insufficient resources for people struggling with Opioid Use Disorder (OUD) throughout Maine. The increasing trade and access to fentanyl following the pandemic accounted for the majority of drug-related deaths in Maine in 2021 and 2022. This study examines the need for long-term access to drug treatment in rural and urban Maine, both environments with varying …

Cross-Cultural Adaptation And Psychometric Validation Of The Medication Compliance Questionnaire (Mcq) For Type 2 Diabetes Mellitus Patients In Indonesia, Much Ilham Novalisa Aji Wibowo, Angelia Yuliana Safitri, Didik Setiawan

Makara Journal of Health Research

Background: Medication adherence is critical for managing type 2 diabetes mellitus (T2DM). The Medication Compliance Questionnaire (MCQ) is a widely recognized tool for assessing adherence but has not been adapted for T2DM in Indonesia. This study aimed to adapt and validate the MCQ in the Indonesian socio-cultural context.

Methods: A cross-sectional study at community health centers (May–Aug 2024) involved forward/back translation, content validation using Aiken’s V, and psychometric assessment among 230 patients. Exploratory Factor Analysis (EFA) assessed construct validity, including convergent, discriminant, and reliability.

Results: Aiken's V index indicated strong content validity (average = 0.881). EFA identified …

Artificial Intelligence In Orthopedic Medical Education: A Comprehensive Review Of Emerging Technologies And Their Applications, Kyle Sporn, Rahul Kumar, Phani Paladugu, Tejas Sekhar, Swapna Vaja, Tamer Hage, Ethan Waisberg, Chirag Gowda, Ram Jagadeesan, Nasif Zaman, Alireza Tavakkoli

SKMC Student Presentations and Publications

Integrating artificial intelligence (AI) and mixed reality (MR) into orthopedic education has transformed learning. This review examines AI-powered platforms like Microsoft HoloLens, Apple Vision Pro, and HTC Vive Pro, which enhance anatomical visualization, surgical simulation, and clinical decision-making. These technologies improve the spatial understanding of musculoskeletal structures, refine procedural skills with haptic feedback, and personalize learning through AI-driven adaptive algorithms. Generative AI tools like ChatGPT further support knowledge retention and provide evidence-based insights on orthopedic topics. AI-enabled platforms and generative AI tools help address challenges in standardizing orthopedic education. However, we still face many barriers that relate to standardizing data, …

Exploring The Correlation Between Self-Esteem And Academic Success Among Special Needs Students In Kwara State, Nigeria, Florence Famolu

Jurnal Kajian Bimbingan dan Konseling

Special education has shifted from a position of delivering professional services to students with disabilities to a system that seeks to encompass the broad concept of promoting quality education for students. This study examined the correlation between self-esteem and academic success among special needs students in Kwara State, Nigeria. the study adopted a descriptive survey research type. special needs students in the three local government areas in Ilorin, Ilorin South, East, and West Local Governments Area constituted the total population for this research. The researcher designed questionnaire was entitled: self-esteem as correlate of academic success among special needs students’ questionnaire” …

Prevalence Of Peri-Implantitis And Assessment Of Oral Health-Related Quality Of Life Among Patients With Dental Implants At Hospital Universiti Sains Malaysia, Esther Li-Ching Ang, Zurairah Berahim, Normastura Abd Rahman, Akram Hassan, Siti Lailatul Akmar Zainuddin

Journal of Dentistry Indonesia

Patient-reported outcomes about peri-implantitis are lacking among the Asian population, impacting decision-making in dental implant therapy. Objectives: This study aimed to assess the prevalence of peri-implantitis among Malaysian adults, and its impact on oral health-related quality of life (OHRQoL). Methods: Randomly selected 105 participants (adults aged 18 and above) having 265 implants were examined and diagnosed as with or without peri-implantitis (PI). Clinical examinations, including peri-implant probing depth, bleeding, and suppuration on probing with radiographic bone loss, were used to determine peri-implant status. OHRQoL of all participants were recorded using the short version of the Malaysian Oral Health Impact Profile …

Ambulatory Ekg Project, Samuel G. Grisham

ATU Scholars Symposium

This project seeks to advance the work of previous researchers in the field of cardiac arrhythmia detection [1]. By leveraging existing wearable technology, a system which is capable of real time heart rate monitoring, timely alerts and electrocardiograph data acquisition was designed. In addition, a python script capable of identifying potential pathological patterns present in EKG recordings was designed. Future endeavors may include integrating these two systems

For real time heart rate monitoring and timely alerts, a Galaxy watch FE is used. Using Android studio integrated development environment, a wearable app was developed to notify a user when their heart …

The Effects Of Climate Change On The Advancement Of West Nile Virus, Mackenzie R. Epperson

ATU Scholars Symposium

The West Nile virus (WNV) first emerged in the United States in the year 1999 within the state of New York and has become endemic throughout the country over time. This virus is contracted from an avian species acting as the reservoir host, by the vector species which are mosquitoes. From this point, the mosquitoes transmit the virus to humans and other mammals, which are the dead end hosts. The WNV often presents itself as flu-like symptoms, but in serious cases can cause severe arboviral neurological disease. Since this is an arbovirus, it is important to have the ability to …

Detecting Ideological Bias In Trump's Tweets: Trump's Peace Plan As A Case Study, Amer Qasem

Middle East Journal of Communication Studies

This study aims to explore the extent of ideological bias in the discourse of elected U.S. President Donald Trump on social media platforms, specifically Twitter (now known as X), regarding his peace plan, commonly referred to as the "Deal of the Century." The study employs Critical Discourse Analysis (CDA) to examine all of Trump’s tweets related to the Deal of the Century, seeking to answer the following research questions: How did Trump portray the parties affected by the deal in his tweets? What rhetorical strategies did he employ to present the deal? The analysis spans the period from the announcement …

The Use Of Artificial Intelligence Applications By Media Students In Palestinian Universities And Their Achieved Gratifications “A Field Study”, Said Shaheen Allani, Ahmad Al Sallaq

Middle East Journal of Communication Studies

The study aimed to identify the extent to which media students in Palestinian universities use artificial intelligence applications and the achieved gratifications from it. The study belongs to the descriptive studies approach utilizing questionnaire as a tool for collecting data, for an available sample of (165) individuals that were distributed in five Palestinian universities. The study reached to; (54.5%) of media students in Palestinian universities use artificial intelligence applications, they use it for several reasons, the most important phrase is “it helps me to produce good digital content,” with a relative weight of (47.4%), it also achieves a number of …

Media Frameworks In Addressing Environmental Issues On Al Jazeera Net Website: An Analytical Study, Sabah Al Harahsheh

Middle East Journal of Communication Studies

This study aimed to recognize the media frameworks used to address environmental issues on (Al Jazeera Net) between 2009 and 2024. The study relied on the descriptive survey method, the theory of media frames, and the content analysis as a method and tool. The study population consisted of all articles, reports and interviews published on the (Al Jazeera Net) throughout the period specified by the study. A purposive sample was selected from the articles, reports and interviews interested in environmental issues only, which numbered eighteen journalistic works. The study identified the most important frameworks that presented the environmental issues during …

The Mediating Role Of Remote Communication On The Relationship Between Electronic Human Resource Management Practices And Organizational Performance In Iraqi Commercial Banks, Shuhub Basel Ahmad Taqa

Middle East Journal of Communication Studies

This study aimed to measure the impact of remote communication as a mediating variable on the relationship between electronic human resources (e-HRM) and organizational performance in Iraqi commercial banks. The study adopted a descriptive-analytical approach, with the study population consisting of managers, their deputies, and department heads in Iraqi commercial banks, totaling 242 individuals distributed across 24 commercial banks by the end of 2023. A total of 234 questionnaires were analyzed, achieving a response rate of 96.7%. The study employed Smart PLS software for data analysis and result extraction. The study revealed several key findings, the most significant of which …

The Feasibility Of A Telerehabilitation Screening Protocol For Wheelchair Follow-Up In A Rural Clinic: A Pilot Exploration, Rachel G. Taylor

Post-Professional Occupational Therapy Doctorate - Innovations in OT Symposium: Transforming Possibilities into Practice

Objective: This capstone project aimed to determine the feasibility of a telerehabilitation approach to wheelchair follow-up care coordination within the East Carolina University Student Run Clinic (SRC). Methods: A Wheelchair Follow-Up Protocol was developed and piloted with a student clinician. Guided by the AHRQ Care Coordination Measurement Framework, this 9-week feasibility project was completed in 3 steps: (1) resource and process development, (2) student training, (3) implementation and data collection. Quantitative and qualitative pilot data were collected from the student clinician who completed the Wheelchair Follow-Up Protocol to examine the feasibility and acceptability of the protocol. Questions included …

Assessment Of Biotransformation Rates, Biomagnification, And Bioconcentration Factors Of Difficult-To-Test Substances Using In Vitro Rainbow Trout Liver Subcellular Fractions, Mark A Cantu, Beatrice Chee, Talia R Cole, Yung-Shan Lee, Frank A P C Gobas

Faculty and Staff Publications

In vitro hepatic biotransformation assays have been proposed as methods for expediting and improving bioaccumulation assessment for substances that are difficult to test in conventional in vivo bioaccumulation assays and to reduce animal testing. However, to date, there has been no convincing evidence to demonstrate the ability and limitations of in vitro assays to estimate in vivo biotransformation rates and corresponding bioconcentration and biomagnification factors of difficult-to-test substances in fish. The present study presents the first measurements of in vitro biotransformation rates of superhydrophobic and highly volatile linear and cyclic siloxanes in rainbow trout liver S9 subcellular fractions and the …

Analysis And Monitoring Of A Robotics Curriculum: Are Simnow Modules Valuable?, Jacob Applegarth, Ibrahim Baida, Anthony Iacco, Ngan Nguyen, Nathan Novotny

Posters

No abstract provided.