Digital Commons Network^™

Motivation System Evoked By High Performance Work System In Chinese Universities And Colleges - An Examination Of The Relationship Between Human Resource Practices, Basic Psychological Needs, And Job Performance, Juan Chen

Doctoral

High Performance Work Systems (HPWS) are strategic, integrated Human Resource Practices (HRPS) designed to enhance employee abilities, motivation, and opportunities for participation, driving sustained organisational performance. While early research emphasized commitment HRPS, recent studies recognise that control and commitment HRPS are complementary rather than mutually exclusive, with neither holding an absolute advantage. Their success depends on contextual factors such as country, industry,organisation, economic environment, and workforce. In Chinese higher education institutions, transitioning from a high-commitment “iron rice bowl” system to a more control-oriented HR model has created tensions between efficiency and academic freedom. Based on the resource-based view, social exchange …

Thermal Barrier Coatings And Their Impact On The Mechanical And Thermal Behaviour Of Fused Deposition Modelled Polymers In Harsh Environments, Simon Weait

School of Engineering, Computing and Mathematics Theses

Coordinated deployment of thermally protected unmanned aerial vehicles (UAVs)equipped for active firefighting operations around incidents such as the GrenfellTower fire could have provided substantial support to life-saving efforts. Incurrent practice, UAVs employed in comparable emergencies are largelyconfined to observational and surveillance roles, thereby substantiallyunderutilising their potential. Expanding their use to direct firefighting tasksrequires the integration of advanced thermal protection systems capable ofwithstanding significantly elevated temperatures associated with carbonaceousfire plumes. In particular, the development of a lightweight thermal barrier coatingthat adheres reliably to fused deposition modelled (FDM) polymers, such aspolylactic acid (GTP), is critical for operational viability and the minimisation ofthe …

Leveraging Natural Language Processing Methods For Next Generation Customer Service In Telecommunications Industry, Hesham Abdelmotaleb

School of Engineering, Computing and Mathematics Theses

This research explores application of Natural Language Processing (NLP) methods to better understand and improve customer service feedback in telecom industry. We collect novel reallife datasets of customer reviews and social media comments within British telecommunication industry over one year. Then, we apply three main modelling approaches. First, we study topic modelling for short text: we propose a new evaluation metric for GSDMM model and demonstrate that our metric helps to choose meaningful topics when texts are very brief. Second, we perform an extensive comparative study of word embedding models for text classification: we test nine word embedding and feature …

Investigating The Biocompatibility Of Nanosilver Hydroxyapatite Coatings With Human Gingival Fibroblasts To Enhance Abutment Integrity For Periodontal Health, Sian Morgan

School of Engineering, Computing and Mathematics Theses

Dental implants are susceptible to bacterial colonisation, which can initiate peri-implant inflammation and ultimately lead to peri-implantitis and implant failure. Antimicrobial surface modifications represent a promising strategy to mitigate bacterial infection however, such approaches must preserve biocompatibility with peri-implant soft tissue cells to ensure effective mucosal sealing and long-term implant success. In particular, human gingival fibroblasts (HGFs) play a critical role in soft tissue integration at the implant-abutment interface, yet their interactions with antimicrobial silver-based coatings remain insufficiently understood. This thesis investigates the biocompatibility of nano silver-hydroxyapatite (Ag+nHA) coatings deposited on titanium substrates, with the aim of developing an antimicrobial …

Mapping The Uk Commercial Fishing Network: A Knowledge-Based Framework For Sustainable Technology Adoption And Environmental Decision-Making, Matthew Prowse

School of Engineering, Computing and Mathematics Theses

The UK commercial fishing industry operates within a complex web of stakeholders, technologies, and environmental pressures that challenge traditional approaches to sustainability and resource management. This research develops a comprehensive framework for understanding how technological advancement in UK fisheries creates unintended consequences that threaten long-term sustainability. Through a mixed-methods approach combining PESTLE analysis, grounded theory methodology, stakeholder mapping, case study investigation, this study introduces the "By-Product and Excess" theoretical framework to explain how fishing technologies generate two critical outcomes: by-products (undesirable environmental impacts such as CO₂ emissions, microplastics, and ecosystem damage) and excess (enhanced capacity to harvest beyond sustainable limits).The …

A General Tool To Assist With On Orbit Manufacturing, Richard Arundal

School of Engineering, Computing and Mathematics Theses

On-Orbit Manufacturing (OOM) presents a transformative paradigm in space mission design, enabling the in-situ production of components, tools, and large-scale structures beyond terrestrial constraints. This dissertation investigates the feasibility of OOM missions by developing a modular, iterative algorithm to support early-stage mission design and scenario analysis. The central hypothesis is that such an algorithm can be parameterised to evaluate a wide spectrum of manufacturing cases in space, ranging from small utility items to large structural systems.The research pursues four core objectives: assessing the terrestrial manufacturing lifecycle and its applicability in the space environment; identifying candidate manufacturing techniques suitable for orbital …

Coupled Thermo-Structural Analysis Of Steel Reinforced Geopolymer Concrete Structural Members, Bin Zhang

School of Engineering, Computing and Mathematics Theses

This thesis investigates the coupled thermal, flexural and steel–concrete bond response of steel-reinforced geopolymer concrete (GPC) and ordinary Portland cement concrete (OPCC) beam cross-sections subjected to one-sided standard fire exposure. A sequential analytical framework is developed to link transient heat-transfer analysis, temperature-dependent sectional flexural analysis, and temperature-dependent bond and flexural–bond coupling assessment.The thermal analysis is performed using a one-dimensional transient heat-conduction model implemented in MATLAB PDEPE. Separate temperature-dependent density, specific-heat and thermal-conductivity relationships are adopted for OPCC and GPC. A dedicated OPCC model of the B1 validation specimen is assessed against 13 matched experimental reinforcement-temperature measurements, giving R^2=0.9542 and an …

Life Cycle Assessment Of Marine Composite Recreational Craft Manufacturing And Operations, Badr Moutik

School of Engineering, Computing and Mathematics Theses

Marine composite recreational craft are growing in number. Sectoral roadmaps for sustainable development are increasing pressure to demonstrate life cycle environmental performance. Life cycle assessment (LCA) has been identified as a key strategic decision support tool. However, current practice is undermined by sparse, non-representative data and methodological inconsistencies. These weaknesses increase the risk of biased or misleading interpretation, constrain wider uptake of LCA, and limit the sector’s ability to respond credibly to tightening environmental sustainability expectations. This thesis assesses the cradle-to-grave environmental impacts of a market-representative glass-fibre reinforced plastic (GRP) motor yacht across 16 impact categories. The research builds on …

Modelling And Optimisation Of Dynamic Power Cable Configurations For Floating Offshore Renewable Energy, Anna Holcombe

School of Engineering, Computing and Mathematics Theses

Floating offshore renewable energy requires dynamic power cables to transmit generated electricity from the floating device to the seabed, or to an adjacent device, so that it can be exported to shore. Dynamic power cables are connected at the top end to a floating device, and traverse the water column, subjected to loading at the hang-off, and direct hydrodynamic loading from waves and currents. Their reliability has been a concern within industry and research, particularly due to historically high failure rates of static subsea cables. It is essential that design and analysis of dynamic power cables is accurate, to mitigate …

Systematic Review Of Early Childhood And Pre-Primary Education, Anna Dabrowski, Yung Nietschke, Syeda Kashfee Ahmed, Michelle Hsien, Dan Cloney, Tim Friedman

Early Childhood Education

This systematic review synthesises global evidence from academic and grey literature published between 2015 and 2025, examining effective policies and interventions aimed at increasing ECCE participation across diverse country contexts, with a focus on equity dimensions such as gender, disability, socio-economic status and geographic location. The multifaceted nature of increasing ECCE participation is highlighted, exploring institutional, interventionist, preventative, and compensatory policies as per the GEM policy typology, while emphasising equity, quality, and contextual factors. These categories reflect the different levels and areas within which policies operate, noting that in practice, approaches to increase ECCE participation often are combined or overlap.

Sadqn-Based Residual Energy-Aware Beamforming For Lora-Enabled Rf Energy Harvesting For Disaster-Tolerant Underground Mining Networks, Hilary Kelechi Anabi, Samuel Frimpong, Sanjay Madria

Mining Engineering Faculty Research & Creative Works

The end-to-end efficiency of radio-frequency (RF)-powered wireless communication networks (WPCNs) in post-disaster underground mine environments can be enhanced through adaptive beamforming. The primary challenges in such scenarios include (i) identifying the most energy-constrained nodes, i.e., nodes with the lowest residual energy to prevent the loss of tracking and localization functionality; (ii) avoiding reliance on the computationally intensive channel state information (CSI) acquisition process; and (iii) ensuring long-range RF wireless power transfer (LoRa-RFWPT). To address these issues, this paper introduces an adaptive and safety-aware deep reinforcement learning (DRL) framework for energy beamforming in LoRa-enabled underground disaster networks. Specifically, we develop a …

Code-Switching, Identity-Shifting, And Identity Distress Among Black Undergraduate Women Attending Predominantly White Institutions, Erin Smith

Graduate Studies Theses and Dissertations 2026

Code-switching (altering language or speech) and identity-shifting (modifying appearance or behavior) are adaptive strategies often used by individuals from marginalized groups to navigate environments shaped by dominant cultural norms. Although these behaviors are commonly discussed in qualitative literature, relatively few quantitative studies have examined their psychological correlates among Black undergraduate women attending predominantly White institutions (PWIs). These behaviors may function as coping strategies in response to racialized and gendered expectations, yet the psychological implications of these strategies remain understudied. The present study examined the relationships among identity distress, code-switching, identity-shifting, and gendered racial identity centrality within a diverse sample of …

Toward Urban-Scale Liquefaction Hazard Analysis: Evaluation And Optimization Of Cpt-Based Lateral Displacement Assessment, Varun M. Singh

Graduate Studies Theses and Dissertations 2026

Liquefaction-induced lateral spreading is a major type of earthquake-induced ground failure hazard and poses a significant threat to infrastructure systems. While semi-empirical methods, such as Lateral Displacement Index (LDI), have been developed to estimate lateral spreading displacement (LSD), their efficacy for regional-scale liquefaction hazard assessment remains unknown. This study evaluates and improves the LDI method for urban-scale seismic hazard assessments using a comprehensive dataset consisting of 1,713 Cone Penetration Test (CPT) case histories from the 2011 Christchurch, New Zealand earthquake, and high-resolution topographic data. Comparing the predicted LSDs and ground-truth observations from both field investigations and remote-sensing surveys reveals that …

The Reliability, Validity, And Sensitivity Of Physical Working Capacity At The Pain Intensity Threshold, Danielle A. Sterner

Graduate Studies Theses and Dissertations 2026

The purpose of this dissertation was to evaluate the reliability, validity, and responsiveness to training intervention of a pain-anchored capacity threshold, the Physical Working Capacity at the Pain Intensity Threshold (PWC_PIT), as a practical submaximal marker of endurance-related exercise tolerance. Study one examined the test-retest reliability of pain-based, perceptual, and physiological physical working capacity measures in recreationally active men using a standardized multi-bout cycling protocol, with pain intensity responses demonstrating strong reproducibility and low measurement error, supporting the stability of pain-anchored thresholds when standardized procedures are applied. Study two evaluated the validity of PWC_PIT by examining pain …

Thermomechanical Modeling Of Transpiration Surfaces For Hypersonic Propulsion, Spencer D. Smith

Graduate Studies Theses and Dissertations 2026

Hypersonic flight vehicles are a promising form of high speed passenger transport and efficient space access architectures. However, they are fundamentally a thermally limited technology. High heat fluxes exceeding 10 MW/m2 and gas temperatures between 3000-4000K can be found both within the engine, and on the outer surface. Current conventional engineering materials are non-viable at these conditions. In order to make these materials viable, active cooling strategies could be utilized. One particularly promising type is transpiration cooling, where a coolant is diffused through a porous surface. Although researched heavily in the 1960s, adoption is still minimal. Part of the reason …

Abig4l: A Semantic Reasoning Engine For Verilog Via Abstract Interpretation, Alicia Thoney

Graduate Studies Theses and Dissertations 2026

Modern Electronic Design Automation (EDA) flows treat structural and semantic reasoning as separate concerns. Synthesis structurally optimizes RTL, while dedicated verification teams validate functional behavior through testbenches and formal methods. This organizational divide means designers have no automatic, sound way to understand what their RTL does at the moment they are writing it. This thesis introduces AbIG4L (Abstract Interpretation of Generic 4-valued Logic), a static analysis framework that bridges this gap by delivering sound semantic reasoning automatically, directly within the hardware design loop.

The framework operates on a language-agnostic intermediate representation to compute sound over-approximations of hardware behavior across 0, …

Oblique Detonation Waves In Internal Axisymmetric Converging Flow, Zachary P. White

Graduate Studies Theses and Dissertations 2026

Detonative combustion offers significant thermodynamic advantages for high‑speed propulsion, motivating the development of detonation‑based combustors for hypersonic flight. Among these, oblique detonation wave (ODW) engines require extremely high combustor velocities to achieve steady wave stabilization. While most prior experimental and numerical studies have focused on planar two‑dimensional geometries, axisymmetric combustors offer practical benefits for hypersonic vehicle integration and may influence achievable pressure gain. However, the effects of inward‑turning axisymmetric compression on ODW formation and performance remain largely unexplored. This work presents an experimentally stabilized ODW formed on an internal axisymmetric converging ramp. Experiments were conducted in a high‑enthalpy blowdown wind …

Cfd Analysis Of A Full Heat Exchanger Between Ammonia And Supercritical Co2 In Aviation Application, Mairah Ahmed

Graduate Studies Theses and Dissertations 2026

The aviation industry’s transition toward lower-carbon propulsion systems has accelerated interest in alternative fuels, including ammonia–hydrogen fuel blends. In this work, a supercritical CO2 Brayton cycle is integrated with the exhaust stream of a turbofan engine to recover waste heat and utilize it for ammonia preheating and cracking. The recovered thermal energy raises the ammonia temperature to the level required for catalytic decomposition, enabling onboard hydrogen production. The proposed architecture combines ammonia cracking with a high-bypass, two-shaft turbofan engine representative of the propulsion system employed on the Boeing 737 MAX 8. This approach addresses the challenges associated with onboard hydrogen …

Charge Transport Modeling Of Multifunctional Molecular Transistors, Romena Akter

Graduate Studies Theses and Dissertations 2026

Distinguishing between the current–voltage characteristic curves associated with different transport mechanisms in a molecular electronic device and an artifact arising from device-level disorder is a central challenge in the study of molecular electronics. Characterizing these mechanisms and connecting them qualitatively to molecular-level orbital alignment, electrode coupling, voltage division, energetic disorder, and reorganization energy requires not only experimental data but also a rigorous theoretical framework for extracting physically meaningful parameters from measured transfer characteristics. This dissertation addresses this challenge in Chapters 2, 3, and 4 by developing and applying four complementary transport models —Simmons tunneling, single-level Landauer, Marcus hopping, and McConnell …

Robust Deep Learning One-Class Classification, Shahd Alnofaie

Graduate Studies Theses and Dissertations 2026

One-Class Classification (OCC) focuses on learning the characteristics of normal data and identifying observations that deviate from this learned pattern as anomalies. It is commonly used in applications such as medical diagnosis, cybersecurity, industrial monitoring, and fraud detection, where abnormal examples are often rare or unavailable during training. Classical approaches such as SVDD and LS-SVDD describe normal data using a hypersphere. While effective in some settings, these methods rely on shallow representations and can be sensitive to noise and contaminated observations. To address these limitations, this dissertation introduces a Deep LS-SVDD framework that combines hypersphere-based data description with deep neural …

Making Unsafe Sequences Unexecutable: Formal Protocol Enforcement For Cyber-Physical Systems, Arthur Amorim

Graduate Studies Theses and Dissertations 2026

Cyber-physical systems execute physical actions in response to software commands, making their communication protocols a primary attack surface. A stealthy attack is a sequence of individually valid messages that violates a required ordering, driving the system into an unsafe state without malware or protocol violation. Existing defenses examine messages or physical state in isolation, not protocol level sequences, and cannot prevent them. Preventing them requires enforcement that makes unsafe sequences unexecutable at the communication boundary.

Formal methods offer a principled path to enforcement, but no tool spans specification to safe deployed hardware. Model checking automates proofs but has no certified …

Numerical Investigation Of Reacting Flow In Pmma-Fueled Solid Fuel Scramjet Combustors Under Experimental Test Conditions, Hunter Bassett

Graduate Studies Theses and Dissertations 2026

A simplified steady RANS-based numerical study of reacting flow in solid-fuel scramjet combustors is presented to evaluate the ability of commercial CFD frameworks to reproduce key features observed in experimental test sections. The work focuses on solid PMMA fuel in two supersonic combustor configurations: a cavity-assisted flameholding combustor and a variable-angle diverging combustor. The cavity combustor is analyzed as a baseline case and results are compared directly with experimental data. Three combustor geometry states corresponding to ignition, early-burning, and steady-burning conditions are investigated. Meshes are assessed through a systematic grid refinement method to establish grid independence. A novel variable-angle diverging …

Sensory And Emotional Impacts On Modern Consumer Experiences, Winter E. Bland

Graduate Studies Theses and Dissertations 2026

This dissertation comprises two essays examining how environmental and psychological stimuli shape consumer experience, attitudes, and cognition. The first essay investigates the joint influence of scent temperature (warm versus cool) and scent arousal (stimulating versus relaxing) on experiential attitudes and cognitive performance in digitally mediated consumption environments. Across multiple lab experiments with biometric validation, findings reveal that these two scent dimensions interact to shape downstream outcomes. Warm, low-arousal scents (e.g., vanilla) enhance consumers' experiential evaluations of digital interactions but do not improve task performance, whereas cool, high-arousal scents (e.g., peppermint) boost cognitive efficiency and accuracy but do not elevate experiential …

An Examination Of The Impact Of School Context And Socioeconomic Status On Agency And Creative Productivity In Gifted High School Students, Elizabeth Bronson

Graduate Studies Theses and Dissertations 2026

This explanatory sequential mixed methods study investigated gifted high school students’ perception of the agency afforded them within school settings, and the relationship between these perceptions and their creative productivity. A sample of 140 students was drawn from a population of 966 identified gifted high school students. These students were contacted via their parents and asked to complete the Agentic Engagement Scale (AES) questionnaire which provided gifted high school students’ perceptions of the agency afforded at school. No significant differences in perceived agency were found across demographic variables, including socioeconomic status and school type. Of the respondents, 10 students were …

A Systematic Review And Characterization Of Privacy Noncompliance In Real-World Applications, Alexander E. Charkiewicz

Graduate Studies Theses and Dissertations 2026

Software applications increasingly rely on user data to provide their functionality, but improper handling of such data can lead to serious privacy noncompliance with applicable regulations and policies. A prominent example is the Facebook–Cambridge Analytica scandal, in which a third-party application collected the personal data of approximately 87 million Facebook users without users' consent. Despite growing attention to privacy compliance, two key challenges hinder the systematic understanding and analysis of privacy noncompliance. First, unlike security vulnerabilities, which have been systematically categorized through taxonomies such as the Common Weakness Enumeration (CWE), privacy noncompliance lacks a technical taxonomy describing how it manifests …

Design, Fabrication Modeling, And Optical Metrology Of Mwir Silicon Metalenses, Weiyu Chen

Graduate Studies Theses and Dissertations 2026

Mid-wave infrared (MWIR) optical systems require compact, broadband, manufacturable components whose performance can be predicted and measured reliably. Silicon metalenses are attractive because silicon combines high refractive index, MWIR transparency, and semiconductor-compatible fabrication. This dissertation develops a scale-bridging design–fabrication-modeling–metrology framework for MWIR silicon metalenses.

A shared full-aperture framework connects meta-atom libraries, physical layout generation, angular-spectrum propagation, point-spread-function calculation, and focal-plane energy metrics. Building on this foundation, the Dispersive Sweatt Model (DSM) incorporates meta-atom dispersion into conventional ray-tracing software, enabling broadband co-optimization of metasurfaces and refractive elements. A process-aware design framework then incorporates scanning electron microscopy (SEM)-measured height–radius relationships produced by …

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 …

Non-Gaussian Phenomena In Light Scattering And Applications, Shubham Atul Dawda

Graduate Studies Theses and Dissertations 2026

Physical reality is rarely deterministic; which, when probed by electromagnetic fields that also fluctuate, leads to observables that are most efficiently modelled as statistical processes. At equilibrium, this is usually achieved by invoking the Gaussian statistics of underlying physical processes, however, in practice, one often encounters out-of-equilibrium conditions where Gaussian descriptions may not suffice. Such situations are plentiful in nature– from biology to astronomy. This dissertation addresses several non-Gaussian phenomena associated with light scattering, and includes specific models’ derivations, experimental techniques developments, and demonstrations of potential applications. The systematic presentation will consider circumstances that infringe upon specific assumptions of the …

Exploring The Experiences Of Late Age-On-Arrival Multilingual Learners In Postsecondary Education, Robyn D. Ecklund

Graduate Studies Theses and Dissertations 2026

Multilingual learners (MLs) are the fastest growing population in the United States public school system (Biondi et al., 2024; Kanno & Cromley, 2013; Perez & Morrison, 2016; Varghese & Fuentes, 2020). Within this population of students, there is a subset of students that arrive in the United States during secondary school. These “late age-on-arrival” students face significant linguistic, cultural and social challenges in their pursuit of postsecondary success after high school (Kanno, 2021; Kanno & Cromley, 2013; Perez & Morrison, 2016). This interpretative phenomenological analysis sought to answer the research question: what are the lived experiences of late age-on-arrival MLs …

Investigating The Impact Of School Leaders’ Leadership Style And Teachers’ Intrinsic Motivation For Improved Science Instruction In Elementary Schools, Leila M. Greene

Graduate Studies Theses and Dissertations 2026

A report by the National Academies of Sciences, Engineering, and Medicine, determined that 69% of U.S. elementary teachers are not prepared to teach science, especially in the areas of earth/space and physical sciences. As a result, some elementary teachers avoid teaching science. School administrators play a key role in providing a supportive environment to inspire and motivate elementary science teachers. For this reason, the study utilized the Self-Determination Theory (SDT), to examine three types of school leadership styles (Transformational, Transactional, and Laissez-Faire) and how they impact the intrinsic motivation for elementary science teachers in three areas including autonomy, competency, and …