Digital Commons Network^™

Miserly Thinking: Understanding The Factors Shaping Public Support Towards Project Wolbachia In Singapore, Shirley S. Ho, Agnes S. F. Chuah, Fiona J. W. Goh, Nova Mengxia Huang, Mengxue Qu, Hye Kyung Kim, Sonny Rosenthal

Research Collection College of Integrative Studies

Project Wolbachia is a vector control method that releases male Wolbachia-infected Aedes mosquitoes to curb dengue transmission in Singapore. While research has primarily focused on its efficacy, few studies have examined public opinion. This study draws upon the cognitive miser model and scientific literacy model to examine the factors shaping public support for Project Wolbachia. A nationally representative door-to-door survey was conducted in Singapore (N = 1,000) using multi-stage stratified random sampling. Our findings revealed that while knowledge about Project Wolbachia explains public support, laypeople may often rely on cognitive shortcuts, such as value predispositions, media attention, and pre-existing perceptions, …

Optimisation Of Photosensitive Recording Materials For Broadband Holographic Optical Elements, Michael Murray

Doctoral

The introduction of broadband (white) LED outdoor lighting has led to significant energy savings. However, this has come at the cost of increased light pollution which has negative impacts both on ecological systems and human health. This light pollution is largely the result of the lack of control measures for the directionality of the light emitted by outdoor LED lighting. The lack of directionality also results in higher energy consumption in order to compensate for the light scattered to the atmosphere and sufficiently illuminate the target area. In this thesis holographic optical elements (HOEs) are proposed as a complementary technology …

An Investigation Of Data Granularity In Rag Pipelines For Personalized Medicine, Paritosh Pandey

Master's Theses

Generative AI, exemplified by large language models like the OpenAI GPT and Meta LLaMA families, can produce diverse content in response to prompts. This capability offers a promising solution to challenges in precision medicine, which seeks to tailor treatments to individual clinical profiles but often struggles with data collection, cost, and privacy concerns. By generating realistic, privacy-preserving patient data, generative AI has the potential to transform patient-centric healthcare. With such motivation, this research develops a comprehensive Generative AI pipeline emphasizing data granularity for accurate prediction of personalized treatments. The pipeline features a central Large Language Model interacting with a Machine …

Robots And Ageing Population – Rehabilitation And Social Robots, Yuzhou Qian, Keng Siau

Research Collection School Of Computing and Information Systems

Population ageing is placing increasing pressure on healthcare and caregiving worldwide. Governments in different countries are looking into the use of advanced information technologies such as artificial intelligence and robotics to help in caring for ageing population. Older adults often need both physical assistance and psychological support, and robots have emerged as a promising technological approach to supplement eldercare. This paper provides an overview of the current state of robots in eldercare. It reviews the major definitions, categories, and features of robots used in healthcare and eldercare. The paper also examines the potential benefits of robotic technologies, such as reducing …

Long Covid Persistence And Surveillance Gaps Across 58 Us Hospitals, Jiazi Tian, Alaleh Azhir, Matthew Decaro, Ngan Chau, Jonas Hügel, Michele Morris, Jingya Cheng, Pedram Fard, Ingrid V Bassett, Douglas S Bell, Elmer V Bernstam, Shyam Visweswaran, Jeffrey G Klann, Shawn N Murphy, Hossein Estiri

Faculty, Staff and Student Publications

Importance: Surveillance of postacute sequelae of SARS-CoV-2 infection (PASC) depends on diagnostic coding systems that capture fewer than one-half of affected individuals, rendering millions invisible to health systems and policymakers.

Objective: To quantify the gap between true PASC burden and diagnostic code-based estimates, determine the proportion representing chronic disease, and characterize organ system heterogeneity and temporal trends across diverse populations.

Design, setting, and participants: This retrospective cohort study used electronic health record data from 58 hospitals and affiliated clinics in 4 US regions, from 2017 to 2025. Adults (aged ≥18 years) with laboratory-confirmed SARS-CoV-2 infection or a COVID-19 diagnosis code …

Molecular Mechanisms Of Pfas Induced Protein Dysfunction: Implications For Neurodegenerative Risk, Daisy Lee Wilson

Open Access Theses & Dissertations

Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants with widespread human exposure and well-established links to adverse health outcomes. However, despite increasing epidemiological and experimental evidence, the molecular mechanisms underlying PFAS-induced neurotoxicity remain incompletely defined. This dissertation investigates PFAS toxicity across biological scales, integrating protein biophysics with neuronal cell models to elucidate pathways relevant to neurodegeneration. At the molecular level, we demonstrate that PFAS disrupts the structure and function of globular proteins, including the impairment of α-lactalbumin's calcium-binding capacity and of β-lactoglobulin's retinol binding, through concentration-dependent conformational destabilization. By applying these findings to a neuronal model, we show that …

Prediabetes Prediction Before Disease Onset Using Multimodal Health Data: A Machine Learning Approach, Luisa Veronica Gracia Mazuca

Open Access Theses & Dissertations

Prediabetes is a critical health condition that increases the risk of developing type 2 diabetes. The hemoglobin A1c (HbA1c) test diagnoses patients with prediabetes, but the disease has already caused metabolic alterations. Early detection is essential for timely interventions, and machine learning models offer a promising approach to identify prediabetic individuals through the analysis of biomarkers such as cytokines. We compared four classifiers-logistic regression, decision tree, random forest, and k-nearest neighbors - using cytokines (TNF-α, MCP-1, IL-1β, IL-6, IFN-γ), age, BMI, and waist-to-hip ratio (WHR). Models were evaluated using stratified 5-fold cross-validation and ROC-AUC. K-Nearest Neighbors (k-NN) achieved the highest …

Adverse Childhood Experiences, Resilience, And Adaptive Functioning Among Student Veterans With Disabilities. A Resilience Portfolio Model Perspective, Donyeill Mozer

Open Access Theses & Dissertations

Adverse Childhood Experiences (ACEs) are associated with long-term psychological, physical, and behavioral outcomes; however, limited research has examined their relationship with multidimensional college adjustment among student veterans with disabilities, particularly those attending Hispanic-Serving Institutions (HSIs). Guided by the Resilience Portfolio Model, this study examined associations among ACEs, perceived resilience, and multidimensional college adjustment within an understudied population of student veterans with disabilities enrolled at an HSI. Using a cross-sectional secondary analysis of survey data, the analytic sample consisted of 129 student veterans. ACEs were measured using the Adverse Childhood Experiences Questionnaire, perceived resilience was measured using the Brief Resilience Scale, …

Optimized Ultrasound Imaging Of Phase-Change Nanodroplets, Charles R Dyall, Dmitry Nevozhay, Andy Liu, Trevor M Mitcham, George J Lu, Konstantin V Sokolov, Richard R Bouchard

Faculty, Staff and Student Publications

Phase-change nanodroplets (PCNDs) continue to generate significant research interest due to their potential to extravasate into tissue, to be targeted for molecular imaging and drug delivery, and to undergo an induced phase-change to "activated" microbubbles (MBs) for ultrasound (US) imaging. To accurately quantify molecular markers, however, one assumes a consistent proportion of PCNDs in a region of interest (ROI) are stably activated and imaged. Herein we present a framework for developing a diagnostic sequence that is optimized for PCND activation uniformity, contrast, and acquisition time. To develop this framework, activation was examined at three scales of increasing complexity: single, adjacent, …

Artificial Intelligence In Medicine: Barriers, Solutions, And Strategies, Anil Harrison, Melissa Stradley Moreno, Caroline E. Williams, Munevver Mine Subasi, Ersoy Subasi

HCA Healthcare Journal of Medicine

The integration of artificial intelligence (AI) and machine learning (ML) into health care holds the potential to revolutionize patient care by enhancing clinical decision-making, improving diagnostic accuracy, and reducing costs. Despite this promise, adoption remains limited due to a range of technical, regulatory, educational, and cultural barriers. This paper examines these challenges and proposes strategies to support safe and effective implementation of AI in clinical practice.

Key barriers include the lack of model interpretability, often referred to as the "black box" problem, which undermines clinician trust and accountability in clinical settings, evolving regulatory frameworks and unresolved questions surrounding liability, and …

The Role Of Simulation In General Surgery Residency: Advancing Technical Proficiency And Clinical Confidence, Matthew A. Daniel, Alyssa Mcmandon, Rachel Daley, Andrew Gustetic, Alexis Howarth, Meghana Jacob, Holden Lewis, Kushali Patel, Taylor Locklear, Saptarshi Biswas

HCA Healthcare Journal of Medicine

Surgical training has changed significantly over the past several decades, largely due to advances in technology. After the introduction of laparoscopic and robotic surgery into residency programs, simulation-based training (SBT) has become an important addition to surgical education. Simulation-based training offers a safe and structured environment to practice skills, receive feedback, and develop technical and non-technical abilities. While its benefits are well recognized, wider use of SBT continues to face challenges, including high costs, limited faculty availability, and time constraints within residency schedules. New technologies such as artificial intelligence, virtual and augmented reality, and standardized simulation frameworks may help address …

An Innovative Model For Graduate Medical Education Faculty Development Through Physician-In-Training Delivery, Daniel A. Nguyen, Dustin Wilkes, Marshall Hall, Michael Carletti, Stephen E. Weis

HCA Healthcare Journal of Medicine

Background

Faculty development is a core requirement for Accreditation Council for Graduate Medical Education (ACGME)-accredited residency programs. Successfully delivering content to faculty can be challenging. This pilot study aimed to assess expert-developed sessions delivered by resident physicians to faculty at the completion of their clinical rotations.

Methods

A prospective cohort project was conducted, involving precepting faculty and resident physicians in a dermatology residency program. Each resident, at the end of their rotation, delivered a faculty development program to their attending physician. Each resident participated in the program for 1-3 years. The faculty development programs were based on faculty development programs …

Establishing Nurse Innovator Competencies: A Collaborative Initiative, Lori M. Brodie, Susan B. Patton, Dara Lanman, Ismail Dilek, Noah R. Zanville, Tracy A. Ortelli

HCA Healthcare Journal of Medicine

Background

Rapid advancements in augmented and artificial intelligence (AI) are reshaping health care, necessitating a strategic approach to integrating innovation into nursing education and practice. This article details a collaborative initiative between academic and practice partners aimed at the initial steps towards establishing the required knowledge, skills, and abilities for nurses to lead change through the creation of Nurse Innovator Competencies.

Methods

After an extensive review of literature, the team identified the absence of established Nurse Innovator Competencies. Through a collaborative and iterative process involving subject matter experts (SMEs) in both innovation and academia, key domains for the competencies, including …

Dementia Detection In Low-Resource Languages: Evaluating Translation-Assisted Transfer Learning For Multilingual Clinical Assessment, Kylar A. Deloach

Honors Theses

Alzheimer's disease (AD) is a growing global health concern, with millions of people affected worldwide and cases expected to rise significantly in the coming decades. Early detection is critical for patient treatment and care, and recent advances in natural language processing (NLP) have shown promise in identifying linguistic markers associated with AD. However, most existing work has focused on English, leaving speakers of other languages with limited access to such tools. This study investigates how effective AD detection models trained on English data are at transferring to Greek, a low-resource language with limited dementia-related speech data available. We propose a …

Investigating The Synthesis And Antibacterial Activity Of A Main-Chain Cationic Polymer, Emily Smith

Honors Theses

Antibiotic resistance is a growing threat to public health. Due to the overuse of antibiotics in agriculture, the overprescription of antibiotics, and the misuse of antibiotics by patients, antibiotic resistance is spreading at an alarming rate. As antibiotic resistance spreads, the antibiotics we depend on to treat common infections become ineffective. Therefore, it is imperative to develop novel treatments for infections that do not increase the prevalence of antibiotic resistance. One treatment being explored is the use of synthetic polymers with antibacterial properties. Synthetic polymers are advantageous because they can be synthesized from widely available precursors and their structure is …

Neuroinflammation At The Crossroads Of Neurodegeneration: The Roles Of Microglia And Astrocytes In Parkinson's Disease, Alzheimer's Disease, And Multiple Sclerosis, Mohannad A. Almikhlafi

Neurosciences

Neuroinflammation plays a critical role in the pathogenesis of neurodegenerative disorders such as Parkinson's disease, Alzheimer's disease, and multiple sclerosis. This review explores the underlying mechanisms of neuroinflammation, with a focus on the roles of microglia, astrocytes, peripheral immune cell infiltration, and cytokine release. The complex interplay between oxidative stress and chronic inflammation accelerates neurodegeneration, contributing to disease progression. Microglial activation, initially protective, becomes harmful when sustained over time, driving chronic inflammation. Similarly, astrocytes once considered passive are now recognized for their active involvement in both inflammatory and neuroprotective responses, depending on their activation state. Prolonged activation of microglia and …

Protein Intake In Children With Cerebral Palsy: A Narrative Review Highlighting The Implications Of Protein Intake On Muscle Mass, Growth, And Overall Nutritional Status, Manar Waleed Simbawa, Sheikha Nasser Alqahtnai

Neurosciences

Children with cerebral palsy experience nutritional challenges that affect protein intake and may contribute to poor muscle mass and growth faltering. Since protein plays a major role in preserving muscle mass and supporting growth, ensuring adequate intake is critical. A comprehensive literature search was conducted for observational studies published between 2006 and 2025. The reviewed studies results were grouped into: [1] Protein intake, with values ranging from 0.66 to 4.1 g/kg/day, with higher intake observed among ambulatory or orally fed children, [2] Nutritional Status and Body Composition, as reduced muscle was reported in children with severe motor impairment, and [3] …

Time And Dose Dependent Effects Of Adipose-Derived Stromal Vascular Fraction Exosomes On Human Dental Pulp Stem Cell Proliferation, Sylva Dinie Alinda, Anggraini Margono, Indah Julianto, Dini Asrianti Bagio

Journal of Dentistry Indonesia

Background: Cell proliferation is essential for tissue repair and immunomodulation in regenerative dentistry. Adipose-derived stromal vascular fraction (AD-SVF) is a promising autologous source for tissue engineering. Its exosomes (AD-SVF Exo), as cell-free products stable under ischemic conditions, represent an ethical and attractive modality for dental tissue regeneration and broader regenerative applications. Prior study indicates that AD-SVF Exo can enhance human dental pulp stem cell (hDPSC) migration and proliferation, particularly at low concentrations, but their detailed time- and dose-dependent proliferative effects remain unclear. This study aimed to investigate the time- and dose-dependent effects of low-concentration AD-SVF Exo on hDPSC proliferation …

Balanced Scorecard In Healthcare Facilities: A Ten-Year Review Of Strategies To Improve Organizational Effectiveness, Larasati Tunggadewi, Sofa Dewi Alfian, Auliya A Suwantika

Pharmacology and Clinical Pharmacy Research

The Balanced Scorecard (BSC) has increasingly been adopted as a strategic performance management framework within healthcare organizations. Evidence from the past decade shows varied implementation outcomes, shaped by institutional readiness, leadership commitment, and the maturity of health information systems. This narrative review synthesizes findings from 47 scientific articles selected through a systematic screening process, covering studies conducted in hospitals, primary health centers, and pharmacy units in Indonesia, Morocco, Iran, China, and other countries. The studies employed case study and descriptive cross-sectional designs using both quantitative and qualitative approaches. Overall, BSC implementation contributed to improvements in service performance across the financial, …

Quantitative Fluorescence Imaging Using A Paired Agent Approach For Improving Surgical Decision Making, Sanjana Pannem

Dartmouth College Ph.D Dissertations

Surgical resection remains to be the cornerstone of treatment for most solid tumors, where the primary objective is to remove all visible and microscopic disease. However, the extent of tumor resection is inherently limited by the surgeon’s ability to distinguish tumor from normal tissue, intraoperatively. As a result, positive surgical margins (PSM), where residual tumor remains after surgery, are a common occurrence and are associated with increased recurrence, need for adjuvant therapies, dismal patient outcomes, and high healthcare costs.

Fluorescence guided surgery (FGS) has emerged as a promising technique to enhance intraoperative visualization of tumors and may help reduce the …

Improving Human Experience In Health Care: Leveraging ``Humanistic Learning Health Systems'' To Accelerate Change At Scale, Brant J. Oliver, Jason A. Wolf

Patient Experience Journal

Included in a special segment in this issue of the Patient Experience Journal, are a series of reports on improving HX in healthcare supported by a humanistic LHS– the Dartmouth Promise Partnership Coproduction Learning Health System in New Hampshire, USA. Promise is a strategic partnership between a medical school and a multi-center rural academic health system. It integrates translational science education and research, data informatics, and scaled and networked humanistic applied change initiatives. One of these initiatives is the Care Experience Collaborative, a multi-center improvement initiative across the health system focused on improving HX. This special segment includes five reports …

Patient Engagement In Developing Radiology Patient Education Materials, T Arleo, Harrisd Harrisd, J Hislop, J Moon, H Li, N Kadom

Patient Experience Journal

Purpose: This initiative aimed to engage patients in the process of developing patient education materials (PEM) on the major imaging modalities at our institution. Materials and Methods: PEM were created for computed tomography (CT), magnetic resonance imaging (MRI), ultrasound (US), fluoroscopy, and radiography. Content was sourced from various sources, consolidated into a draft, and iteratively updated: They were simplified using a ChatGPT-4.0 prompt designed to achieve a 7th grade reading level; they were reviewed for accuracy by subject matter experts (SME); they were assessed for readability and understandability using the Flesch-Kincaid Grade Level (FKGL) and the Patient Education Materials Assessment …

System-Level Barriers To Patient Engagement With Electronic Medical Records, Corey Adams, Reema Harrison, Guncag Ozavci, Kathleen Gray, Nilmini Wickramasinghe, Vicky Yuan, Tracey Bucknall, Elizabeth Manias

Patient Experience Journal

Objective: Electronic medical records (EMRs) can support patient-centered care, but system-level barriers often limit how patients engage with EMR systems. This study explored the system-level barriers and enablers to patient engagement with EMRs from the perspectives of healthcare leaders. Methods: Semi-structured interviews were conducted with 20 participants in senior EMR-related roles across healthcare organizations in two Australian states. Data were analyzed using reflexive thematic analysis to identify key system-level influences on patient engagement. Results: Seven themes were identified: 1) EMRs for digital storage, not connection, 2) Privacy rules create challenges to accessing information, 3) Communication barriers when using EMRs, 4) …

Leveraging Digital Patient And Family Advisory Councils To Drive Patient Engagement, Priya Radhakrishnan, Shambhavi Mishra, Melissa Price, Cammy Sanders, Fiker Bekele, Kathi Zarubi, Craig Kartchner, Amrit Singh Johal, Carol Mayer, Craig Norquist

Patient Experience Journal

Patient and Family Advisory Councils (PFACs) have been integral in enhancing patient care, but their limited reach often excludes underrepresented populations. Digital PFACs present an opportunity to overcome these barriers and engage a broader spectrum of patients and families, fostering more inclusive healthcare decision-making. We implemented a Digital Patient and Family Advisory Council (DPFAC) at HonorHealth, as part of the Patient Centered Outcomes Research Institute (PCORI) capacity building grant. We used the RE-AIM and PRISM frameworks to engage participants through a digital platform. The process began with a needs assessment and was followed by the development of the platform, during …

Applying A Patient Journey Mapping Approach To Understand Maternal Care Patient Journeys: A Pilot Study, Nicole Hicks, Kristin Tully, Christopher Goodier, Sreenath Chalil Madathil, Ayaba Logan, Myrtede Alfred

Patient Experience Journal

Introduction: In the United States, giving birth is the most common cause of hospitalization. Maternal care frequently represents birthing people's first experiences of prolonged interactions with the healthcare system. However, the structure of services is often fragmented and misaligned with individuals' needs, particularly for Black birthing people. Documenting birthing people's experiences during pregnancy and postpartum allows for identification of practices working well and opportunities to improve patient-centered maternal care. Methods: The mixed-methods study was conducted in the southeastern United States and used patient journey mapping(PJM) to document experiences of patients receiving maternal care at a large academic hospital …

Volume 12 Full Text, Bjur Staff

Butler Journal of Undergraduate Research

No abstract provided.

Evaluation Of The Compliance Of Ultra-Low Dose Drugs Available In Local Iraqi Markets With Regulatory Weight Variation Test, Yousif K. Younis

Al-Mustaqbal Journal of Pharmaceutical and Medical Sciences

Mixing and formulation of drugs with very low dose is a brutal challenge to formulators sometimes due to all kinds of difficulties like segregation, content uniformity and physicochemical stability issues. A careful consideration of all related factors is essential during manufacturing of very low dose drug products. The aim of this study is to evaluate the quality control of ultra-low dose drugs of different companies available in local Iraqi and their compliance with regulatory weight variation test. Quantitative analysis conducted to five drugs using weight variation technique with 20 randomly selected tablets for each drug. All of these drugs passed …

Ethnopharmacology, Phytochemistry, And Pharmacological Potential Of Philenoptera Laxiflora: An Emerging African Medicinal Plant For Drug Discovery, Albashir Tahir

Al-Mustaqbal Journal of Pharmaceutical and Medical Sciences

Medicinal plants remain an important source of therapeutic agents and play a significant role in modern drug discovery. Philenoptera laxiflora (Fabaceae) is a tropical African plant widely used in traditional medicine, but the scientific evidence supporting its therapeutic potential remains fragmented. This review aims to comprehensively summarize the current knowledge on the ethnomedicinal uses, phytochemical composition, pharmacological activities, and toxicological profile of P. laxiflora, while highlighting research gaps and future directions for drug discovery. A comprehensive literature search was conducted using electronic scientific databases, including PubMed, Google Scholar, Scopus, Web of Science, and ScienceDirect. Relevant publications on the ethnobotany, …

Impact Of The Menstrual Cycle On Female Endurance Athletes' Performance, Julia M. Monk

Doctoral Dissertations and Projects

Background: During different phases of the menstrual cycle, a female endurance athlete will experience some physiological and fatigue variables. This study aims to analyze whether the differences in variables, specifically an increase in heart rate and fatigue, impacts endurance performance. Method: 20 endurance-trained, runners performed a maximal treadmill test in each of the phases of the menstrual cycle: early follicular phase (days 2–3, ± 1 day), mid-follicular phase (days 10–12, ± 1 day), and luteal phase (days 21–22, ± 1 day). Heart rate was measured before, during, and immediately after the test as well as time to exhaustion and the …

Success Or Setback: A Literature Review Of The Association Between Youth Athlete Sport Specialization And Injury Incidence From Adolescence To Adulthood., Kelis Adams

Honors College Theses

For a multitude of reasons, in the United States, present day society is a persistent witness and contributor to the adultification and professionalization of children alongside the activities they engage in. Single-sport specialization in youth sports is one of our most clear and poignant instances of the existence of this subcurrent. But, in recent years, following the uptick in single-sport specialization among youth athletes there has also been a marked increase in sports medicine professionals cautioning athletes and their families of premature commitment to a sole sport due to concerns of physical health risks. As sport typically involves forceful and …