Digital Commons Network^™

The School To Prison Pipeline From The Inside Out: Survivor Narraitves, Nina M. Koufalias

Dissertations

This dissertation examines the lived experiences of two Latino men who traversed the school-to-prison pipeline in the 1980s. The purpose of this study is to investigate how intersecting systems of racism, ableism, poverty, and exclusionary school practices shaped their educational trajectories and contributed to their incarceration. Three overarching research questions guide this inquiry: (1) What can be learned from the stories of two formerly incarcerated relatives that sheds light on how the school-to-prison pipeline is lived? (2) How do their narratives illustrate the impacts of exclusionary discipline policies, such as zero-tolerance, on educational opportunities and life outcomes? (3) How does …

Disability Employment In Côte D’Ivoire: Human Resources Managers’ Experiences And Challenges, Kinanpy Vanessa Toure

Dissertations

This study examined the critical role of human resource (HR) managers in promoting workforce integration and addressing the persistent barriers faced by people with disabilities (PWDs) in Côte d'Ivoire. Focusing on the perspectives, challenges, and lived experiences of HR managers, the research explored how inclusive workplace practices were developed and implemented within the Ivorian context. Employing a qualitative case study design, the study utilized semi-structured, scenario-based interviews and analyzed allowable public documents, specifically the Ivorian Labor Code, a relevant NGO publication addressing disability inclusion in Côte d’Ivoire, and the publicly available websites of participating organizations. This approach was intended to …

Leading With Emotional Intelligence: Strengthening Leadership Effectiveness In Early Childhood Education, Christy L. Martin

Dissertations

This study examined the role of emotional intelligence (EI) in leadership effectiveness within early childhood education settings. Leadership in these contexts involves navigating complex relationships, staff stress, and organizational demands, yet leadership preparation often emphasizes technical skills over emotional competencies. The study explored how EI influences leadership effectiveness and how reflective practices support leadership development. Guided by the question How does emotional intelligence impact leadership effectiveness?, the study used a mixed-methods design. Quantitative data were collected through an EI Inventory of Practices self-assessment measuring four EI domains, and qualitative data were gathered through semi-structured interviews. Findings suggest emotionally intelligent …

Aging Actively, Jada Lindblom, Guangzhou Chen

UNH Cooperative Extension

No abstract provided.

Fractional Bernstein Polynomial Approximations For Nonlinear Timefractional Partial Differential Equations, Reem Abdul Quzli

Theses

This thesis studies the numerical approximation of nonlinear time-fractional partial differential equations using fractional Bernstein polynomials. The main model considered is the nonlinear time-fractional foam drainage equation, in which the classical time derivative is replaced by the Caputo fractional derivative. This formulation introduces memory effects into the model and allows the present drainage behavior to depend on the previous evolution of the liquid fraction.

The proposed method approximates the solution by a finite expansion of fractional Bernstein basis functions. After substituting this approximation into the governing equation, the residual is expanded in powers of t^�� . The unknown coefficient …

A Hybrid Approach To Phishing Email Detection: Leveraging Machine Learning And Large Language Models, Hessa Shamal Biri

Theses

Phishing attacks have reached a new level of sophistication through the deployment of large language models by attackers. The current AI-generated threats defeat existing detection systems which base their operation on past data. The thesis presents a hybrid system for phishing email detection which combines real email data with synthetic LLM-created samples to enhance traditional machine learning classifiers performance. The study created a hybrid dataset of 20,627 emails by combining 18,631 real messages from the Kaggle Email Classification Dataset with 1,996 synthetic emails. The synthetic emails were generated using four large language models LLaMA-3, Falcon, LLaVA, and Mistral to capture …

The Effects Of Virtual Feedback Delivery Methods On Performance For A Remote Work Task, Megan J. Ireland

Masters Theses

Due to its multifunctional nature and wide array of possible applications, feedback has been, and continues to be, a popular topic within scientific research focused on workplace performance improvement. To ensure that feedback is implemented correctly for the desired behavior change, and the context in which it is being delivered, the variables that make up feedback have been a primary focus of more recent research. Previous research has investigated a variety of variables including the effects of delivering different types of feedback and the effects of different feedback delivery modalities on performance for work-related tasks. The present study will be …

Gis-Based Solar Energy Suitability Assessment For Utility-Scale Photovoltaic Development In Texas, Deepak Kumar

Masters Theses

This research developed a GIS-based multi-criteria suitability model to identify sites in Texas favorable for utility-scale solar photovoltaic (PV) development. The model integrated three biophysical variables—Global Horizontal Irradiance (GHI), terrain slope, and land cover—within a weighted overlay framework using the Analytic Hierarchy Process (AHP) for criteria weighting. GHI data were derived from the ERA5-Land Daily Aggregated dataset (ECMWF, 2024), slope was calculated from the USGS 3DEP 10-meter Digital Elevation Model, and land cover was classified from the National Land Cover Database 2021 (USGS). Each variable was reclassified to a 0–4 suitability scale and combined using AHP-derived weights of 0.50 (GHI), …

Understanding The Effect Of Scaling On Aerodynamic Force Analysis Of The Nrel Phase Vi Wind Turbine, Patrick R. West

Masters Theses

It is challenging for small models and prototypes to accurately reflect the aerodynamic performance of a full-scale wind turbine, especially for offshore turbines. It is also not economical to build full-scale models for prototype testing. Scaling makes it possible to modify the dimensions for computational simulations, simplify the prototype construction and testing process, and make aerodynamic load analysis applicable to larger blade diameters. In this work, a model is presented that considers the effects of geometric scaling by modifying the incoming windspeeds and rotational speed of the turbine rotor in capturing aerodynamic load through Computational Fluid Dynamics. The National Renewable …

Study Of Plasma Modification Effects On Cell Proliferation Of 3-D Printed Poly Lactic Acid (Pla) Structures, Temiloluwa Nathan

Masters Theses

3-d printing of structures has recently been adopted for a large number of applications including in-vitro lab-on-chip, organ-on-chip and other bioengineering applications. This thesis presents the results of our investigations on the use of a Poly Lactic Acid (PLA) structures for cell proliferation and their potential application for targeted drug delivery and Organ-on-a-Chip applications. As the previous investigations by the group indicated the requirement of surface modification of these printed structures, this study mainly focusses on the plasma surface modification of 3-D printed PLA structures and its impact on cell growth in different conditions. The first component focused on improving …

High-Density Power Conversion: Analyzing High-Frequency Transformer Scaling Laws And Grid-Filter Efficacy In Integrated Charger Inverters, Thilina Lakshan Dissanayakage

Masters Theses

This thesis investigates frequency scaling in high-frequency transformer (HFT) used in Dual Active Bridge (DAB) converters and evaluates different LCL filter design methodologies for grid-connected applications. The study explores the impact of operating frequency on transformer size reduction, efficiency, and overall performance by analyzing HFT designs at 50 kHz, 100 kHz, and 400 kHz. It is expected that increasing the switching frequency enables significant reduction in transformer volume, while introducing trade-offs in efficiency due to increased core and copper losses. In parallel, the thesis examines and compares three LCL filter design approaches under identical operating conditions using a 1 kW …

Finite Element Analysis And Computational Fluid Dynamics To Design And Analyze A Liquid Cooling System For An Integrated Charger Inverter System, Pihillawala Wijethunga

Masters Theses

This work presents a computational and experimental investigation into the thermal management of power electronic modules for an electric vehicle (EV) integrated charger-inverter (ICI) system, with a focus on the Inverter module, Dual Active Bridge (DAB) converter with a High- Frequency Transformer (HFT) with an external leakage inductor. Analytical loss models are used to calculate conduction and switching losses for the DAB and inverter SiC MOSFET modules, and the Improved Generalised Steinmetz Equation is applied to determine HFT core and winding losses. The adequacy of passive natural convection as a thermal management strategy is first assessed, and its limitations at …

Isolation And Self-Efficacy Among Texas Educators With Disabilities Post-Covid: A Narrative Inquiry, Paul M. Nimon

Electronic Theses and Dissertations

The purpose of this qualitative inquiry was to explore the narratives of 10 current Texas public school educators with disabilities, as defined by the Americans with Disabilities Act, to understand how these narratives shaped their perceptions of burnout in relation to isolation and self-efficacy in the aftermath of the COVID-19 pandemic. The specific problem addressed the systemic, cultural, and interpersonal barriers that contribute to emotional exhaustion and professional marginalization for this population. The paradigm used was action research. The specific research methodology was a qualitative narrative inquiry. Data collection methods included 60-to-90-minute semistructured interviews conducted via Zoom and transcribed for …

Fostering Innovation At The Intersection Of Maker Education And Extended Reality (Xr), Jewoong Moon, Yong Ju Jung, Soo Hyeon Kim, Younggon Bae, Bertrand Schneider

School of Mathematical & Statistical Sciences Faculty Publications

No abstract provided.

Corneal Innervation Research At A Crossroads: A Tool-Driven Roadmap For The Future, Anna Matynia, Ian D Meng, Brian M Davis, Stephen C Pflugfelder, Anat Galor, Victor L Perez, Elizabeth R Felix, Pedram Hamrah, Pantelimon Rompolas, Raul E Ruiz-Lozano, Shamsuddin A Bhuiyan, Kaveh Moghbeli, Evangelia Semizoglou, William Renthal, Harinder Singh, Jishnu Das, Marcin Golczak, Mary Ann Stepp, Catherine W Morgans, Cintia S De Paiva, Carl Y Saab, Igor Spigelman, Rony R Sayegh, Tally M Largent-Milnes, Hao Wu, Wenqin Luo, Sreya Mitra, Heesuk Yoo, Sina Farsiu, Sejiro Littleton, Eden Jacob, Matthew T Mcpheeters, Maryse Lapierre-Landry, Jordan J Smith, Xi Wang, Roxana Florea, Made Airanthi K Widjaja-Adhi, Scott Holmes, Zane Zemborain, Kate E T Laise, Nicholas J Pondelis, Ki-Soo Jeong, Rui Chen, Michael W Jenkins, Vivian Lee, Eric A Moulton, Deborah S Jacobs, Sue A Aicher, Anthony J St Leger, Daniel R Saban

Faculty, Staff and Students Publications

Corneal innervation research has faced long-standing clinical challenges that only recent technological breakthroughs now make tractable. Advances in single-cell analysis, viral vectors, clinical imaging, and artificial intelligence provide integrated approaches for uncovering molecular mechanisms underlying functional outcomes and facilitating clinical applications. The National Eye Institute's U01-funded consortium on ocular surface innervation addresses major knowledge gaps in characterizing corneal-projecting neurons, understanding neuroimmune and epithelial interactions in the cornea, and translating animal model findings to human pathology. The unique properties of the cornea (transparent, avascular, and densely innervated) make it ideal for neurobiology research on peripheral and central sensory processing. Through a …

Systematic Identification Of Cell-Cell Interactions Associated With The Severity Of Patients With Alzheimer’S Disease, Zijian Zhang, Naail Chowdhury, Jing Dong, Lang Wu, Chao Cheng

Faculty, Staff and Students Publications

Background

Alzheimer's disease (AD) is a complex, multifactorial neurodegenerative disorder involving dysfunction across multiple brain regions. While accumulating evidence has implicated the roles of diverse cell types, including neurons, glia, and vascular cells in AD pathogenesis, it is still poorly understood how cell type interactions drive or respond to the disease progression and severity.

Objective

This study aimed to systematically characterize cell-type–specific alterations and intercellular communication changes associated with AD progression.

Methods

We leveraged the transcriptome profiling and a previously established statistical framework to present a comprehensive mapping of the cellular interaction landscape in the human brain of AD.

Results …

Association Of Infection Frequency And Incident Clonal Hematopoiesis Of Indeterminant Potential, Ajibike Lapite, Vernon A Burk, James Decuir, Junichi Ishigami, Seyedmohammad Saadatagah, Pradeep Natarajan, Christie M Ballantyne, Elizabeth A Platz, Katherine Y King

Faculty, Staff and Students Publications

Clonal hematopoiesis of indeterminant potential (CHIP) is an age-related phenomenon associated with increased risk of hematologic malignancy. Preclinical studies have shown that infection is a driver of CHIP; clinical studies in people living with HIV suggest a relationship between chronic infection and CHIP, but the association between infection frequency and incident CHIP in the general population remains unknown. We leveraged the atherosclerosis risk in communities study to design a closed prospective cohort study. CHIP was determined based on whole-exome sequencing at 2 time points 20 years apart. Included were 3,367 individuals without cancer or CHIP at time 1 and without …

Treatment Of Hemifacial Spasm With Endovascular Stenting Of The Vertebral Artery, Maximillian Feygin, Marcus Shee-Tzer Wong, Andrew Zhang, Ashwin Viswanathan, Omar Tanweer

Faculty, Staff and Students Publications

Background and importance: Hemifacial spasm (HFS) is a movement disorder characterized by involuntary spasms of the facial muscles that can lead to debilitating symptoms and is typically caused by vascular compression. Classically, microvascular decompression of the offending vessel is the gold standard; however, in certain cases, microvascular decompression may have increased risk because of patient comorbidities and underlying anatomy. In this report, we describe a unique endovascular approach with flow diversion for the treatment of HFS.

Clinical presentation: A 70-year-old woman presented to the clinic with a 5-year history of HFS on the right side progressing from the eye to …

Decentralizing Dementia Research To The Us–Mexico Border: The Rio Grande Valley Ad-Rcmar As A Model For Translational Equity, Gladys E. Maestre, John Blangero, Eron Manusov, Gabriel A. De Erausquin, Francisco Fernandez, Silvia Mejia-Arango, Vincent P. Diego, Juan C. Lopez-Alvarenga, Claudia Alaniz, Neyra García, Rosa V. Pirela, Andrew Tsin, Michael Mahaney

School of Medicine Publications

Translational equity means ensuring that diagnostics, treatments, care models, and prevention strategies are developed and implemented so they work for populations with the greatest burden and least access to care. In Alzheimer's disease and related dementias (ADRD), where most evidence derives from highly educated, non-Hispanic White participants at large academic centers, translational equity is critical to prevent misclassification, limited access, and widening disparities and to ensure that underrepresented communities shape how new knowledge moves into practice. Hispanic and other populations in the United States are disproportionately affected by ADRD yet remain underrepresented in research, with gaps especially pronounced in high-poverty …

Mindful Self-Compassion To Reduce Pain Interference Among Adults With Osteogenesis Imperfecta, Amena Sediqi, Roya Al-Khalili, Saunya Dover, Corien Peeters, Adam Khalif, V Reid Sutton, Frank Rauch, Brendan Lee, Eric A Storch, Marie-Eve Robinson

Faculty, Staff and Students Publications

Between 60 and 80% of adults with osteogenesis imperfecta (OI) experience chronic pain and associated interference. Currently available pain therapies often provide marginal efficacy. Mindful self-compassion (MSC) has emerged as a promising intervention for coping with chronic pain. We conducted a single-center 8-week pilot intervention study to assess the feasibility and acceptability of a MSC program among adults with OI and co-occurring chronic pain. Individuals attended the validated MSC course consisting of 8 weekly virtual 2-h sessions. Participants completed a battery of validated questionnaires assessing pain, various aspects of well-being, and physical function at baseline and post-intervention. Participants wore the …

Whole Genome Sequencing Analysis Of Over 3500 Individuals Dementia-Free Over 85 Years Old, Gina M Peloso, Dongyu Wang, Sabrina M Abbruzzese, Joshua C Bis, Seung Hoan Choi, Alexa Beiser, Jan Bressler, Josée Dupuis, Alison E Fohner, Mohsen Ghanbari, Richard A Gibbs, Nancy Heard-Costa, M Arfan Ikram, Paul Lacaze, Quentin Le Grand, Oscar L Lopez, Thomas H Mosley, Moeen Riaz, Aïcha Soumaré, Amber Yaqub, Eric Boerwinkle, Bruce M Psaty, Myriam Fornage, Sudha Seshadri, Anita L Destefano

Faculty, Staff and Students Publications

BACKGROUND:

Identifying genetic variants conferring resilience to Alzheimer’s disease and related dementia (ADRD) may hold promise for developing therapeutics.

OBJECTIVE:

To determine genetic associations with being dementia-free at age 85 (DF85).

METHODS:

We examined genetic associations, using whole genome sequencing data, with DF85 in three Trans-Omics for Precision Medicine cohorts and the Alzheimer’s Disease Sequencing Project Phenotype Harmonization Consortium. We tested common variants individually and aggregation of rare (MAF≤1%) coding and non-coding variants in DF85 participants (n=3,657) against individuals who were not DF85 (n=20,010). We verified associations using a stricter control set who developed dementia before age 85 (n=5,552).

RESULTS: …

Anterior Cutaneous Nerve Entrapment Syndrome From Glucagon-Like Peptide-1 Receptor Agonist Injection, Neha Singh, Elisa Chaparro, Jordan Michael Shapiro, Emanuel Narcis Husu

Faculty, Staff and Students Publications

Anterior cutaneous nerve entrapment syndrome (ACNES) is an underdiagnosed cause of abdominal pain. We report the first documented ACNES case following subcutaneous administration of glucagon-like peptide-1 receptor agonist. A 44-year-old man developed focal, neuropathic abdominal pain coinciding with initiation of tirzepatide injections. Clinical examination confirmed ACNES diagnosis, and pain improved after relocating injections away from the abdomen and initiating multimodal pharmacotherapy. This case emphasizes the need to consider ACNES in patients endorsing focal abdominal pain with concurrent use of glucagon-like peptide-1 therapy and highlights injection site modification as a simple, effective management strategy while exercising self-restraint with respect to workup.

Retrospective Analysis Of A Washu-Based Knowledge-Based Planning (Kbp) Model For Breast And Chest Wall Planning In Guatemala: Compliance With American Society For Radiation Oncology (Astro) 2026 Guidelines, Milton E Ixquiac Cabrera, Erick O Montenegro, Matthew Schmidt, Baozhou Sun, James A Kavanaugh, Taoran Li, Angel Velarde, Vicky De Falla, Francisco Reynoso

Faculty, Staff and Students Publications

Background/purpose

Breast cancer is among the most prevalent malignancies treated at the Liga Nacional Contra el Cáncer (LNCC) in Guatemala, representing a significant proportion of annual radiotherapy cases. Access to high-quality, standardized treatment planning in resource-constrained settings remains a critical challenge. This study evaluates the dosimetric performance of knowledge-based planning (KBP) models adapted from Washington University (WashU) in St. Louis for breast and chest wall radiotherapy at LNCC, validated against a retrospective 2025 clinical cohort, and benchmarked against the ASTRO 2026 Practical Radiation Oncology guidelines.

Materials and methods

A retrospective analysis of 84 treatment plans (40 left, 44 right) for …

Treatment Of Obsessive-Compulsive Disorder Via Mental Health Technology, Erika S Trent, Nisha Jagannathan, Eric A Storch

Faculty, Staff and Students Publications

Obsessive-compulsive disorder (OCD) is a debilitating neuropsychiatric disorder that remains chronic unless intervened with evidence-based intervention. Cognitive behavioral therapy (CBT) with exposure and response prevention is the gold-standard psychological intervention for OCD, but many individuals do not receive this intervention due to barriers to accessing treatment. Mental health technology tools such as telehealth, computerized programs, internet-delivered CBT, and mobile applications have been adopted to expand the accessibility of CBT. An up-to-date summary of the evidence base of technology-mediated formats of CBT for OCD treatment is provided. Clinical benefits offered by such approaches, current limitations, and future research directions are discussed.

Initial Injury Type And Violent Reinjury, Nicholas Szoko, Daphne Lew, Taylor Kaser, Zoe M Miller, Matt Vogel, Michael A Mancini, Lindsay M Kranker, Christopher Behr, Vicki Moran, Rachel Ancona, Kristen Mueller

Faculty, Staff and Students Publications

Importance: Violent injuries are the leading cause of death among children and young adults in the United States. Violent injury may increase the risk of subsequent injury (ie, violent reinjury), but it is unclear how this risk varies across different injury types (eg, blunt assault, stabbing, firearm).

Objective: To describe patterns of violent reinjury across different injury types to inform tailored prevention strategies.

Design, setting, and participants: This multicenter cohort study included patients who presented with violent injuries to 2 adult and 2 pediatric level I trauma centers in St Louis, Missouri, from January 2016 to December 2023.

Exposures: Violent …

Non-Isolated Dandy-Walker Malformation: Exome Sequencing Efficacy And Phenotypic Expansions, Sarah Araji, Xiaonan Zhao, Jill A Rosenfeld, Seema R Lalani, Daryl A Scott

Faculty, Staff and Students Publications

Dandy-Walker malformation (DWM) is a rare congenital abnormality of the posterior fossa and the cerebellum and has an incidence of 1 in 10 000 to 30 000 births. Although DWM can present in isolation, it is often associated with other central nervous system (CNS) abnormalities or extra-CNS anomalies (DWM+). A molecular cause is not identified in the majority of individuals with DWM+. This is due, in part, to uncertainty regarding optimal testing strategies and an incomplete understanding of the genetic causes of DWM+. In this study, we analyzed clinical exome sequencing (cES) data from 91 individuals with DWM+ to determine …

World Transit Research June 2026 Newsletter, Institute Of Transport Studies Monash University

World Transit Research Newsletter

No abstract provided.

Assessing Shifts In Research Priority Areas From The Neurological Community Before And After The Covid-19 Pandemic, Leah Dempsey, Travis Cruickshank, Mitchell Turner, Manja Laws, Danielle Bartlett, Barby Singer, Onno Van Der Groen, Moira Sim, Mandy Stanley

Research outputs 2022 to 2026

Introduction: People living with a neurological condition face many difficulties in daily life, impacting their function and quality of life (QoL). There is currently no cure to many neurological conditions, therefore identifying interventions to improve QoL is of high importance. COVID-19 changed society in many ways and understanding the research priorities from the neurological community post pandemic is urgently needed to ensure resources are used efficiently and aligned with the needs and priorities of the community. To better understand the priority areas, it is essential for individuals with lived experience to have input into priority areas for research. Therefore, the …

Optimizing Fpga And Wafer Test Coverage With Spatial Sampling And Machine Learning: Analysis Of Local Spatial Consistency, Weiquan Wang, K. M.Shahriar Alam Adib, Foisal Ahmed, Riaz Ul Haque Mian

Research outputs 2022 to 2026

Wafer and FPGA testing remains costly in semiconductor manufacturing. This paper studies random sampling, stratified sampling, and k-means sampling under a partial-measurement setting with Gaussian Process Regression (GPR), and introduces Short Distance Elimination (SDE), a spatial screening rule that spreads selected training points over the layout. Combining value-based sampling with SDE yields two hybrid methods: S-SDE, which applies SDE within stratified subsets, and K-SDE, which applies SDE within k-means clusters. A calibration-based protocol fixes the value-group labels and SDE thresholds before target-file prediction. The SDE thresholds are selected from (Formula presented.) configurations in (Formula presented.), excluding (Formula presented.), using local …

The Crossroads Between Osteosarcopenia And Intrinsic Capacity—A Narrative Review, Nailton J. Neto, Guy Hajj-Boutros, Wayne Lok Ok Choo, Miguel G. Borda, Konstantinos Prokopidis, Hassan Rammal, Daniel Rivas, Hussein Samhat, Ivan Baltasar-Fernandez, Mahdi Imani, Cristiano Dos Santos Gomes, Oscar Rosas Carrasco, Marc Sim, Julie A. Pasco, Julia Chabot, Ana M. Ayala-Copete, Francisco J. García-García, Claire Godard-Sebillotte, Raman Agnihotram, Lana J. Williams, Anna Andrianova, Robinson Ramirez-Vélez, Emma Connolly, Harmehr Sekhon, Hidenori Arai, Liang-Kung Chen, Andréa Faust, Howard Bergman, Alexandra Papaioannou, Pierrette Gaudreau, Tiago Alexandre, Leocadio Rodriguez-Mañas, Ricardo Oliveira Guerra, Gustavo Duque

Research outputs 2022 to 2026

Intrinsic capacity (IC) is defined as the composite of physical and mental abilities an individual possesses, encompassing 5 domains: cognition, psychological health, sensory function, vitality, and locomotion. This construct is central to the World Health Organization’s framework for assessing functional ability in older adults. Growing evidence highlights the critical role of the musculoskeletal system in maintaining these domains, while conditions such as sarcopenia, osteoporosis, and their coexistence as osteosarcopenia (OS) are increasingly associated with IC decline. This narrative review compiles current evidence on the modulatory role of muscles and bones in IC and the impacts of sarcopenia, osteoporosis, and OS. …