Digital Commons Network^™

Advancing Chemotaxonomy Of Pollen, Laura Scoble

School of Geography, Earth and Environmental Sciences Theses

Pollen analysis (palynology) is a valuable tool for palaeoecology, providing long-term records of vegetation change for reconstructions of past environments and revealing insights into historical climate variability, environmental change, and the vulnerability of ecosystems in response to anthropogenic impacts. However, its application in contributing to evidence-based conservation and restoration management depends on the accurate identification of fossil and sub-fossil pollen. This remains a persistent challenge for the Poaceae family (grasses), whose pollen grains are morphologically similar and often cannot be distinguished below the family level using traditional light microscopy. As a result, species-level changes in grassland communities are often obscured …

Staphylococcus Aureus Strain Heterogeneity Modulates Virulence Traits Associated To Dual-Species Biofilms With Candida Albicans, Laure Nicolas Annick Ries, Beata Adrienn Brezniczky, Binduja Srelatha Pradeep, Esther Olabamiji, Lee Hutt, Glenn M. Harper, Alexander Strachan, Gyorgy Fejer

School of Biomedical Sciences

Staphylococcus aureus is a commensal Gram-positive bacterium and opportunistic pathogen that exhibits substantial variation in antimicrobial resistance and virulence traits. S. aureus is frequently co-isolated with the fungus Candida albicans, and together they represent the most common microorganisms recovered from biofilm-associated infections originating from both biotic and abiotic surfaces. Despite this clinical relevance, the impact of bacterial intra-species variation on interkingdom interactions remains poorly understood. This study therefore investigated how S. aureus strain heterogeneity influences C. albicans within dual-species biofilms. The majority of the 60 S. aureus strains tested suppressed fungal growth in a contact-dependent manner across different nutrient conditions …

Recent Technological Advances In Monitoring And Neuromodulation Of Non-Malignant And Neurogenic Bladder Conditions, Chang Liu, Yifan Wang, Mario Romero-Ortega, Argyrios Stampas, Yingchun Zhang, Philippe Zimmern, Zhengwei Li

Faculty, Staff and Student Publications

Neurogenic bladder and lower urinary tract (LUT) dysfunctions encompass a wide variety of urinary disorders resulting from nervous system impairments. Unfortunately, conventional treatments are still limited and can have significant complication rates, especially when stent implantations or other surgical procedures are involved. Therefore, there is a critical need to develop novel therapeutic strategies and pharmacological approaches to address these challenging urological conditions. Recent technological advances offer promising solutions to overcome some of these challenges faced by patients with bladder and LUT dysfunction. This review summarizes recent progress in advanced urotechnologies, focusing on bladder monitoring and neuromodulation approaches, advanced medical instruments …

Congenital Syphilis: From Near-Elimination To Crisis, Chad J Abresch, Irene A Stafford, Regan M Johnson, Kayode Olabanji, Ashleigh M Sutphen, Helen E Cejtin, Ashley Hoover

Faculty, Staff and Student Publications

This analytic essay examines the transformation of congenital syphilis (CS) in the United States from near-elimination to crisis. Drawing from the January 2025 Congenital Syphilis Summit in Atlanta, Georgia-convening public health leaders, Tribal health departments, the National Coalition of STD Directors, and Centers for Disease Control and Prevention experts-we contrast prevention systems during near-elimination (1998-2005) with the current crisis (2018-2025). Evidence revealed how dismantling public health infrastructure produced dramatically different outcomes, with CS cases increasing 937% over the past decade and racial/ethnic disparities worsening. American Indian/Alaska Native communities face rates up to 100 times higher than White populations in some …

Biomechanical And Computational Modeling Of Metastatic Acetabular Defects: Influence Of Tumor Location On The Risk Of Fracture, Jacob Doddridge, Hongjia He, Rui Yang, E U Conrad, Nicholas Dunbar

Faculty, Staff and Student Publications

Background: Metastatic bone disease can lead to pathologic fracture of the pelvis which affects quality of life. There are limited validated approaches for biomechanical modeling, classification, or surgical treatment of metastatic acetabular defects.

Methods: An artificial hemipelvis bone was used to calibrate a computed tomography-based computational model of the pelvis with varying locations and sizes of acetabular defects. Metastatic defects affecting the anterior and posterior column, medial wall, and their combinations were created. Mechanical testing was performed on each defect, and images of the lateral surface of the acetabulum were analyzed by digital image correlation to measure peak surface strains. …

Erratum: Assessment Of Skin Fibrosis In A Murine Model Of Systemic Sclerosis With Multifunctional Optical Coherence Tomography (Erratum), Jessica Gutierrez, Shervin Assassi, Kirill V Larin

Faculty, Staff and Student Publications

This corrects the article "Assessment of skin fibrosis in a murine model of systemic sclerosis with multifunctional optical coherence tomography" in volume 30(3), 036007.

The Persistent Shock Of The Old: Making The Case For The Responsive Development Of Artwork Deploying Historical Museological Display Techniques., Duncan Cameron

School of Art, Design and Architecture Theses

My sculpture work and thesis investigate the potential of historical museological practices—particularly Victorian and Edwardian display technologies—in contemporary art-making and sculptural practice. I ask three central questions: how can the collection and display of natural history materials be ethically defended in the present day; how might traditional exhibition orthodoxies be reconfigured to privilege the prosaic, domestic, and handmade over the novel and precious; and what role does the idiosyncratic and beautiful play in narrating material stories within an ethical, Anthropocene-aware framework?The study employs a practice-led methodology combining iterative art-making, critical reflection, and active fieldwork. Working from a studio in Somerset, …

Translating Human Emotion Into Music: A Multimodal Machine-Learning Framework Linking Movement, Facial Expression, And Real-Time Generative Composition, Martin Mc Corry

School of Art, Design and Architecture Theses

This thesis investigates whether embodied human expression—captured through facial and full-body motion—can be translated into musically coherent behaviour using time-series machine learning and real-time generative systems. The project develops and evaluates a multimodal framework that links participant-specific emotion inference to an interpretable, artist-configurable generative music system.Across two sensing modalities, personalised BiLSTM-based models achieved ~99%window-level validation accuracy within participants under a strict leak-free protocol, with no evidence of overfitting. These models were deployed within a low-latency real-time inference system. The research introduces a structured translation layer comprising a consensus mapping matrix and a tiered control architecture, mediating between probabilistic inference and …

Exploring The Impact Of Social Identity-Based Support Groups On Students' Sense Of Belonging In Higher Education, Jasmine D. Patel

University of the Pacific Theses and Dissertations

Students who hold marginalized social identities report experiencing a lower sense of belonging at their institutions of higher education than their peers. A low sense of belonging has in turn been linked to lower academic performance, lower scores on mental health and well-being measures, and lower rates of degree completion. Utilizing a mixed method approach, this researcher examines the experiences of students who participated in a social identity-based support group intervention intended to improve the sense of belonging of students who hold marginalized social identities. Eight university students participated in the support group intervention over the course of one academic …

Supporting First-Generation College Student Success Through Increased Participation In High-Impact Academic Practices, Michael Daly

University of the Pacific Theses and Dissertations

First-generation college students, those with neither parent having earned a bachelor’s degree, represent approximately one-third of all students attending college in the United States. Many enter college not fully prepared for success and, despite decades of research and the development of a variety of student support interventions, substantial and lasting improvements in their institutional retention and graduation rates on a national level have been elusive. This persistent issue creates a variety of negative consequences for the students, the institutions they attend, and society. The purpose of this action research study was to develop recommendations for improving the practice of supporting …

An Empirical Comparison Of K-Nearest-Neighbors And Logistic Regression Classification Models, Jackson Cushing

Graduate Studies Theses and Dissertations 2026

This thesis presents an empirical comparison of two classification methods: Logistic Regression and K Nearest Neighbors (KNN). The primary objective of this research is to evaluate the strengths and limitations of each method when applied to real-world datasets. Several publicly available datasets on diabetes, breast cancer, heart attack risk, and cardiovascular disease, were analyzed. For each dataset, K Nearest Neighbors models were implemented in the same way logistic regression had already been applied. The results demonstrate that while logistic regression offers interpretable parameter estimates and performs well when the underlying predictor and outcome relationship is approximately linear, however KNN can …

An Exploration Of The Professionalization Of Graduate Students Using Rhetorical Theory, Jennifer M. Crowell

Graduate Studies Theses and Dissertations 2026

This qualitative study examines the professionalization of graduate students as a rhetorically mediated and relational process of identity development within an interdisciplinary doctoral program. While existing scholarship emphasizes institutional structures and formal mechanisms of professional preparation, less attention has been given to how graduate students experience professionalization at the individual level. This study addresses that gap by exploring how students interpret expectations, use rhetorical strategies, and construct professional identities across multiple disciplinary contexts.

Grounded in organizational rhetoric and community of practice theory, the study investigates how graduate students in the Texts & Technology Ph.D. Program at the University of Central …

Assessing Fisheries Dependence Of Coastal Communities In Managed Mangrove Forests In Latin America, Ariel Alexander Quintanilla Magana

Open Access Dissertations

Fisheries dependency refers to the action of a person, community, or society linking their social, cultural, and economic actions to different ecosystem services (ES) for covering their food system with essential marine species, developing a governance system to conserve these fishing areas, their local ecological knowledge, and guaranteeing food security in the coastal areas. In Latin America, most fishing activities are practiced within three nautical miles of the shoreline, estuaries, lagoons, and mangrove forest channels, using small vessels and traditional gear such as hooks, trammel nets, and gill nets. Some coastal communities have developed their subsistence and livelihood activities in …

How Is The Use Of Ai Impacting Nursing Students Education?, Lorna H. Strain

Honors College Theses

The use of Artificial Intelligence (AI) in education is rapidly increasing and reshaping how nursing students learn and engage with content. This thesis proposal looks at the impact of AI on the education of nursing students and explores students' perceptions of its use in their learning and education. As AI becomes more prevalent, many students are using it for study aids and content personalization, while schools are using it in simulations and textbook platforms. Many recognize its benefits, such as enhanced critical thinking, improved accessibility of materials, and more immersive learning. Concerns persist around ethical use, academic integrity, and the …

Rydberg Atom Arrays For Electric Field Sensing, James P. Hamilton

Honors College Theses

Rydberg atoms, hydrogen-like atoms that can be excited to states of high principal quantum number that carry correspondingly large electric dipole moments, have become leading candidates for precision electric field sensing. Arrays of such atoms, each trapped in a focused laser beam called an “optical tweezer,” are a particularly promising platform, since the strong dipole-dipole interactions between neighboring atoms provide a resource unavailable in a single-atom sensor. This thesis develops a theoretical and numerical framework for electric field measurement in small Rydberg atom arrays. We begin with a two-level model of a single atom, derive the Hamiltonian and equations of …

A Proposed Conceptual Framework For Assessing Quality Of Life In The United Arab Emirates: Application To Ras Al Khaimah Emirate, Aaesha Saif Al Shehhi

Dissertations

Quality of Life (QoL) has become a central concern in urban planning and sustainable development, particularly in rapidly transforming contexts such as the United Arab Emirates. This dissertation proposes and empirically validates a comprehensive framework for assessing urban QoL, with a focused application to the Emirate of Ras Al Khaimah. A mixed-methods approach integrates objective indicators and residents' subjective perceptions, aligned with national strategies including UAE Vision 2030, the National Strategy for Wellbeing 2031, and UAE Centennial 2071.

The methodology combines Geographic Information Systems (GIS), the Analytic Hierarchy Process (AHP), and statistical analyses to evaluate seven key sectors: environment, infrastructure …

Assessment Of Advanced Glazing Systems For Building Energy Efficiency In Hot-Arid Climates, Ahmad I. Elshamy, Yousef Elgefly, Yara El-Metwally, Serag Salem

Architectural Engineering

The built environment is considered among the most contributing factors to energy consumption. The building envelope plays a crucial role in determining the building energy consumption, regulating heat transfer and maintaining adequate indoor environmental quality. Hence, optimizing the thermal performance of the building envelope by achieving optimal glazing solutions while fulfilling the Sustainable Development Goal (SDG 7) is the main aim of this research. This study investigates the impact of various facade glazing systems on the building energy performance, focusing on the cooling energy consumption of an office building in a hot arid climate, Cairo, Egypt. The novelty of this …

Enhancing Urban Resilience In Ariha City, Syria: Integrating Active And Passive Climate Adaptation Strategies, Rania Rushdy Moussa, Ayham Ahmed Karoum

Architectural Engineering

Ariha City in Syria faces urgent challenges for post-war reconstruction, including damaged infrastructure and environmental pollution resulting from the conflict. Enhancing urban resilience has become a priority to ensure sustainable recovery and mitigate the ongoing environmental impacts. This study investigates how combining traditional passive design strategies with modern active technological systems can strengthen urban resilience in this context. A two-phase methodology was employed. In the first phase, a field assessment examined existing urban conditions through site surveys, spatial analysis, and documentation of passive and active resilience strategies in both the historic center and new growth areas. In the second phase, …

Optimizing Energy Efficiency In Educational Buildings Through Facade Material Selection, Rania Rushdy Moussa, Malak Ayman, Khloud Khalid

Architectural Engineering

Facade material selection is crucial for improving building performance and reducing environmental effect, as evidenced by the growing demand for sustainable architectural solutions, especially in educational institutions. The use of typical, non-sustainable facade materials in Egyptian educational buildings is a major cause of the country's high energy consumption, poor indoor air quality, and rising carbon emissions. This research explores the possibility of using cuttingedge facade materials to promote sustainability in Egyptian university buildings in order to close this crucial gap. The study incorporates a mixed-methods approach and begins with a qualitative theoretical review that includes a thorough literature analysis. A …

Impact Of Therapeutic Design On Patients’ Satisfaction And Wellness In Healthcare Facilities., Dalia Moati

Architectural Engineering

In recent years, there has been a growing recognition of the signi3icance of designing healthcare environments that extend beyond functionality. These healing hospital environments are designed to promote patient satisfaction and well-being. However, despite increased awareness of their bene3its, the global adoption of healing-centred hospital designs remains limited. While the healthcare system has long focused on treating physical ailments, there is a growing recognition that to promote overall wellness, it must shift toward a more comprehensive approach to healing, addressing not only the body but also the emotional and psychological needs of patients. This paper aims to investigate the impact …

Playworld Translanguaging: A Place-Based Approach For Translanguaging Play Pedagogy In Early Childhood, Christine Robinson, Carly Steele, Toni Dobinson, Grace Oakley, Samina Manado, Katie Grace, Graeme Gower

Research outputs 2022 to 2026

Conceptualised from a vision to honour children’s languages, agency and cultural ways of knowing, this research presents findings from a place-based translanguaging play pedagogy for early childhood called Playworld Translanguaging. In the remote Kimberley of Western Australia, researchers collaborated with educators in a Kindergarten/Primary/Yr 1 class of mostly Aboriginal children who have Bardi Jawi as their ancestral language, co-designing ways to revitalise this language through play pedagogy in ways intimately connected to place. Our Playworld Translanguaging approach reimagined Conceptual PlayWorlds (Fleer, 2018) with the intention of integrating pedagogical translanguaging. Following Indigenist research principles, critical participatory action research (CPAR) was the …

Software Architecting In The Brazilian Industry: Results Of A Prior Survey, Valdemar Vicente Graciano Neto, Mohamad Kassab, Diana Lorena Santos, Andrey Gonçalves França, Edson Oliveira, Rafael Z. Frantz, Ahmad Mohsin, Marcos Kalinowski

Research outputs 2022 to 2026

Context: Software architecture is essential for system quality and long-term sustainability, yet little is known about how the architect role is structured in Brazilian companies.

Objective: This study examines how Brazilian organizations incorporate software architecture into their development processes, focusing on the presence and formalization of software architects, and the activities performed by them.

Method: A survey of 105 professionals from 24 states collected data on organizational profiles, architect roles, compensation, and architectural tasks. Quantitative and qualitative analyses were conducted.

Results: Architectural work is widespread but unevenly formalized. Only 41% of companies employ formal architects, and 68% delegate architectural duties …

Assessing Past Storm And Tsunami Events With Coastal Boulder Deposits: Implications For Offshore And Coastal Renewable Energy Infrastructure, Storm Roberts

School of Geography, Earth and Environmental Sciences Theses

Coastal boulder deposits are found on coastlines worldwide, transported inland by extreme storm or tsunami events. These deposits are understudied, yet hold unique information about the magnitude of the waves which emplaced them, enabling the addition of new events to the storm and tsunami record. However, boulder transport by storm waves is commonly misidentified as tsunami events, traditional methods for calculating boulder size are outdated, the influence of boulder shape on transport is understudied, there are difficulties making comparisons between physical experiments and field data, and commonly used equations for estimating wave flow velocities from boulders have been shown to …

Annual Report Of The Town Dalton, Nh, December 31, 2025, Dalton Town Representatives

Dalton, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

The Effects Of Physical Boundaries On The Complexity Of Resonance Processes In Finite-Size Dielectric Metasurfaces, Varsha Vijay Kumar

Dissertations, Master's Theses and Master's Reports

This work investigates dramatic effects produced by the presence of physical boundaries of finite-size metasurfaces, composed of identical cylindrical dielectric resonators without broken symmetry, on the complexity of their responses, observed at normal plane wave incidence, when constituent particles can support only dipolar Mie resonances. Owing to their periodicity, metasurfaces are conventionally analysed using their unit cells with periodic boundary conditions, so that their “finiteness” remains largely under-studied, even though all practical systems are finite.  We demonstrate the opportunities to excite in these finite structures extra high-quality resonance modes, quite distinct from the resonant modes in infinite structures and explain …

Automatic Generation Of Introductory Programming Exercises With Large Language Models, Nguyen Binh Duong Ta, Hua Gia Phuc Nguyen, Gottipati Swapna

Research Collection School Of Computing and Information Systems

Despite recent advances in code generation made possible by large language models (LLMs), programming is still an essential skill that computing students need to master now and in the foreseeable future. In learning programming, frequent practices with exercises set at an appropriate difficulty and knowledge level is of crucial importance for students. However, it’s not a trivial task for instructors to create many good quality exercises customized for each student. Programming problems found on Internet sources such as LeetCode are mostly too challenging for novice programmers with no prior coding knowledge. Recent work in AI-enabled education has been leveraging LLMs …

Do Comments And Expertise Still Matter? An Experiment On Programmers’ Adoption Of Ai-Generated Javascript Code, Changwen Li, Christoph Treude, Ofir Turel

Research Collection School Of Computing and Information Systems

This paper investigates the factors influencing programmers’ adoption of AI-generated JavaScript code recommendations within the context of lightweight, function-level programming tasks. It extends prior research by (1) utilizing objective (as opposed to the typically self-reported) measurements for programmers’ adoption of AI-generated code and (2) examining whether AI-generated comments added to code recommendations and development expertise drive AI-generated code adoption. We tested these potential drivers in an online experiment with 173 programmers. Participants were asked to answer some questions to demonstrate their level of development expertise. Then, they were asked to solve a LeetCode problem without AI support. After attempting to …

Ai Systems For Physicians: A Review From Socio-Technical And Human-Computer Interaction Perspectives, Wu Jiaqi Young, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

The adoption of artificial intelligence (AI) in healthcare is accelerating, yet successful implementations of physician-facing AI systems remain limited and uneven. This paper presents a literature review of 40 peer-reviewed studies published between November 2022 and November 2024, spanning clinical, technical, and human-computer interaction (HCI) domains. Anchored in a socio-technical perspective, the review examines our existing understanding of how technical design, user expertise, and organizational factors shape the effectiveness of AI systems in real-world clinical settings. Our analysis identifies two meta-themes: (1) context as a dynamic, multi-level influence that actively reshapes AI system behavior, and (2) trust as an emergent …

Leveraging Large Language Models For Career Mobility Analysis: A Study Of Gender, Race, And Job Change Using Us Online Resume Profiles, Palakorn Achananuparp, Ye Xu, Yao Lu, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

We present a large-scale analysis of career mobility of college-educated U.S. workers using online resume profiles to investigate how gender, race, and job change options are associated with upward mobility. This study addresses key research questions of how the job changes affect their upward career mobility, and how the outcomes of upward career mobility differ by gender and race. We address data challenges – such as missing demographic attributes, missing wage data, and noisy occupation labels – through various data processing and Artificial Intelligence (AI) methods. In particular, we develop a large language models (LLMs) based occupation classification method known …

Thinkmatter: Panoramic-Aware Instructional Semantics For Monocular Vision-And-Language Navigation, Guangzhao Dai, Shuo Wang, Hao Zhao, Bin Zhu, Qianru Sun, Xiangbo Shu

Research Collection School Of Computing and Information Systems

Vision-and-Language Navigation in continuous environments (VLN-CE) requires an embodied robot to navigate the target destination following the natural language instruction. Most existing methods use panoramic RGB-D cameras for 360° observation of environments. However, these methods struggle in real-world applications because of the higher cost of panoramic RGB-D cameras. This paper studies a low-cost and practical VLN-CE setting, e.g., using monocular cameras of limited field of view, which means “Look Less” for visual observations and environment semantics. In this paper, we propose a ThinkMatter framework for monocular VLN-CE, where we motivate monocular robots to “Think More” by 1) generating novel views …