Digital Commons Network^™

Transfection Of Ionizable Lipid Nanoparticles On Raw 264.7 And Mda-Mb-231, Lavanya Bhargava

Masters Theses

"This thesis investigates the preparation, characterization, and transfection efficiency of various ionizable lipid nanoparticles (LNPs) formulated for the delivery of mRNA encoding enhanced green fluorescent protein (EGFP) in RAW 264.7 macrophages and MDA-MB-231 breast cancer cell lines. The ionizable cationic lipid studied are ALC-035, C12-200, C14-4, PPZ-A10, DLin-MC3-DMA. The study addresses the need for effective gene delivery systems to provide a safe and versatile platform that protects and transports nucleic acids into target cells. LNPs were synthesized using microfluidic mixing methods, incorporating lipid components such as the cationic lipids, DSPE, DOPE, cholesterol and PEG lipids to achieve controlled particle sizes, …

Lidar From The Skies: A Uav-Based Approach For Efficient Object Detection And Tracking, Baya Cherif

Masters Theses

"Recently, there has been a growing interest in deploying the Light Detection and Ranging (LiDAR) technology to gain traction in the autonomous vehicle industry, its applications are expanding into areas like smart cities, agriculture, and renewable energy. This work proposes an advanced approach to enhance aerial traffic monitoring using Li- DAR. We aim to provide accurate, real-time object detection and tracking from an aerial perspective by integrating Unmanned Aerial Vehicle (UAV) with LiDAR, culminating in a smart UAV-integrated LiDAR (A-LiD) sensor for traffic surveillance. We introduce an adapted version of one of the newest methods of the cutting-edge 3D object …

Long Short-Term Memory (Lstm) -Based Neural Network Model For Optimizing Composite Manufacturing Process Using Autoclave, Sourav P. Bolar

Masters Theses

The combination of high pressure and controlled heat plays a critical role in ensuring the uniform curing of composite materials, leading to parts with superior mechanical properties. In this study, three composite samples of IM7/CYCOM 5320-1, each cut into 12x12-inch squares, were placed in an autoclave at three different locations, spaced 6 inches apart. Sixteen thermocouples were randomly distributed across the setup to monitor the curing process as the autoclave temperature was systematically ramped up and down while maintaining constant pressure, creating a fully controlled curing environment. The primary objective was to optimize the curing locations to reduce machine runtime …

On Optimizing Sensor Data Collection, Processing, And Storage For Industrial Additive Manufacturing, Steven Thompson

Masters Theses

The widespread adoption of digital data management methods for transformative technologies, such as additive manufacturing (AM), within the aerospace industry is impeded by poor interoperability between AM component manufacturing processes. Moreover, data quality may be compromised due to sensor failures or other corruptions. Additionally, massive amounts of data are collected during these processes, often needing to remain accessible for decades. These storage costs can place a significant financial burden on smaller suppliers. This work aims to make digital data management methods more affordable and, therefore, approachable for smaller suppliers.

First, the design and initial implementation of an affordable and adaptable …

Investigation Of Arm Stiffness Modulation During Overground Physical Human-Human Interaction, Henry Tien

Masters Theses

The vision of advancing robots capable of direct physical engagement with humans begins with an understanding of how humans interact with each other. Even rudimentary interactive tasks, such as shaking hands, provides tremendous challenges for modern robotics and current research into the biomechanics of such interactions is limited. Thus, further analysis of physical Human-Human Interaction (pHHI) will bolster efforts to enhance collaborative robot capabilities. To this end, a custom Force Perturbation Handle (FPH) was developed, including the requisite mechanical, electrical, and software systems, to investigate the unique role of arm stiffness modulation in haptic communication between humans. The novel device …

Emi Mitigation, Material Characterization, Transformer Equivalent Circuit Modeling, Reza Vahdani

Masters Theses

Modern high-frequency electronic systems demand precise characterization and modeling techniques to ensure signal integrity and electromagnetic compatibility. This thesis presents three core studies focused on real-world challenges in high-speed and power electronics: EMI mitigation using 3D printed absorbers, wideband liquid dielectric characterization, and accurate transformer modeling.

The first study demonstrates a targeted approach to mitigating electromagnetic interference (EMI) in a commercial router. By using holography imaging to identify radiation hotspots, custom absorber structures were designed with commercially available materials, fabricated via 3D printing, and applied directly to emission sources. Radiated emission tests in a reverberation chamber showed up to 9 …

Augmentation Of Quality Of Service, Security, And Trust In Edge-Enhanced Iot Networks Leveraging Blockchain, Kyle Matthew Whitlatch

Masters Theses

The meteoric rise of the Internet of Things (IoT) has led to multiple architectural schemas to handle the data these devices create. Edge-enhancement is a technique where groups of IoT report to a median layer to aggregate the data before relaying to the endpoint. These edges also open opportunities to perform more operations to ensure devices are behaving properly before committing the data to long term storage. By interconnecting these edges with a technology like blockchain, it is possible to have an interconnected and responsive system to ensure the Quality of Service (QoS) of the IoT devices within the architecture …

Ground Testing Of Cryogenic Environments In Vacuum Conditions, Lucas A. Scott

Masters Theses

The environment in the vacuum of space is unforgiving and ever-changing. Not only facing the lack of a protective atmosphere, but powerful radiation and extreme temperature ranges as well. Equipment destined for space must be hardened to withstand them. Just launching satellites that are theoretically able to survive these conditions is unfeasibly costly in the event of failure. Because of this, spacecraft must be tested in a simulated environment that can match the harsh climate in space. Therefore, it is the goal of the Gas and Plasma Dynamics Lab's (GPDL) to test and prove specific methods of recreating these conditions. …

Auto-Tuning And Applications Of Transient Voltage Suppressor Models In Full-Wave Simulations, Daniel Peter Szanto

Masters Theses

System efficient electrostatic design (SEED) combines full-wave geometry information with SPICE models of non-linear protection devices, typically transient voltage suppression (TVS) diodes, to allow optimization and validation of electrostatic design (ESD) protection early in the design process. TVS models have previously been developed which may be used in SPICE simulation tools like Keysight ADS, but these models could not be used directly in full-wave simulation tools like CST Studio. A process was developed for converting existing ADS models of TVS devices to a form that can be used within a CST full wave/SPICE hybrid simulation. Three TVS models were converted …

Frequency-Tracker And Power Supply For Piezoelectric Lunar Dust Removal Actuator, Praneeth Uddarraju

Masters Theses

"This work presents a reconfigurable phase-locked loop (PLL)-based control system for the resonant excitation of piezoelectric actuators aimed at automated removal of particulate contaminants from photovoltaic (PV) surfaces—particularly in extraterrestrial environments such as the lunar surface. Regolith or lunar dust buildup on solar panels is a serious hazard to the effectiveness of energy harvesting on extended missions. By using high-frequency structural excitation and inertial forces the suggested system removes surface impurities. Tunable Sallen-Key low-pass filters for reliable feedback conditioning are used in conjunction with a digitally implemented PLL on an FPGA (XLR8 platform) to precisely lock the drive frequency to …

Aerodynamic Design Workflow Optimization For Fsae: Advanced Cfd And Hpc Automation, Kyle Maynor

Masters Theses

This research identifies and resolves inefficiencies in the Computational Fluid Dynamics (CFD) workflow of the Missouri S&T Racing Formula SAE Team’s aerodynamic development. Key bottlenecks were found in simulation runtime, laborious simulation preparation, an overly manual simulation submission process, and unchecked mesh quality. A fully reimagined workflow was implemented with simulation parameters to adjust vehicle attitudes. From this, an automated design sweep could be executed to generate aero maps of the developing vehicle using the Design Manager Project. A Python-based submission app handles the terminal interfacing and macro editing that significantly slowed the job submission process before. Using a university …

Development Of Stalling Detection Algorithms And Operator Behavior Models For Evaluating Hydraulic Excavator Performance, Mateo Fernando Montenegro Defaz

Masters Theses

This study aims to develop a reliable algorithm for stalling detection and investigate how operator behaviors impact the truck-loading process, focusing on swing and bucket rotations. While the study of excavator digging conditions and equipment performance is well understood, describing stalling from telemetry data and the influence of operators’ behavior on overall system efficiency remain underexplored. This study seeks to: (i) develop a reliable algorithm for stall detection by analyzing key operational variables such as velocity and angles; (ii) implement statistical and machine learning techniques, specifically a Support Vector Machine (SVM) classification algorithm, to differentiate between ideal and non-ideal digging …

Design Of A Spacecraft Power System Experiment, Jay Bakulkumar Kamdar

Masters Theses

This research delves into the design, implementation, and analysis of a controlled experimental framework for photovoltaic cell characterization and its application in spacecraft power systems. Such a system was simulated and validated by benchmarking characteristics of a photovoltaic module and implementing them in a system design simulation yielding performance data for comparative analysis. A hardware setup was developed to perform IV characterization tests under steady state thermal conditions. Experiments conducted across various thermal regulation profiles helped quantify the effects of temperature on the photovoltaic performance parameters. Active cooling reduced the steady state cell temperature by 17.9% and improved the cell …

Enabling Drone-Integrated Active Microwave Thermography Via A Slot Antenna Design, Alec P. Fitzmaurice

Masters Theses

Civil infrastructure inspection quality and inspector safety may be enhanced from the advancement in the capabilities of nondestructive testing and evaluation of remote or otherwise hard-to-reach areas such as nuclear power plants, wind turbines, bridges, or other civil infrastructure using drone-based Active Microwave Thermography (AMT). AMT is a nondestructive testing technique that utilizes high frequency energy (often radiated from an antenna) to induce heating in a specimen. Following this thermal excitation, an infrared camera is used to measure the resulting surface thermal profile. From this, defect indications may be detected. To enable drone-based deployment of AMT, where the antenna size …

Performance Of Standard Medical Mllms On Ecg Image Data, Prisha Anil

Masters Theses

This work presents a structured benchmarking study of multimodal large language models (MLLMs) applied to electrocardiogram (ECG) interpretation tasks. We evaluate three representative architectures: MedGemma, HuatuoGPT-Vision, and LLaVA-Med, across progressive experimental stages involving text-only structured prompt normalization, text–image fusion with ECG plots, and full multimodal fusion incorporating time-series signals. A standardized five-section cardiology prompt was designed to enforce consistent output structure and SCP-code alignment, enabling reproducible metric computation across models. Quantitative evaluation using BERTScore, token-level F1, and diagnostic accuracy demonstrates that HuatuoGPT-Vision achieves the highest semantic and diagnostic alignment, while MedGemma exhibits superior formatting stability and reproducibility. In contrast, LLaVA-Med …

Shifting Attention: Assessing Antennular ‘Gaze’ In The Hermit Crab Pagurus Bernhardus, Ari Drummond, John Spicer, Lucy Turner, Alexander Wilson, Mark Briffa

School of Biological and Marine Sciences

Attention (focused information gathering) is crucial for many cognitive processes. Traditionally dichotomised as reflexive or voluntary, behavioural research often relies on vision for assessments of attention. However, invertebrate information acquisition often utilises chemosensation or mechanosensation, potentially limiting the efficacy of a vision-based approach. We examined attention in Pagurus bernhardus hermit crabs, using antennules (the crustacean first antennae) as indicators of attentional shifts. Considering a change in flicking direction as analogous to a shift in gaze, we examined if hermit crabs show evidence of reflexive or voluntary attention. We exposed crabs to a chemosensory stimulus while manipulating factors influencing vulnerability (i.e., …

Hydrological Repair And Invasive Grass Removal Restore Rhizophora Racemosa Mangrove Communities In West Africa, Claudia M Agraz Hernández, Ebénézer Houndjinou, Jordan E Reyes Castellanos, Carlos A. Chan Keb, Juan Osti Saénz1, Julio C. Chávez Barrera, Janique Etienne, Romain L Glèlè Kakaï, Robert Puschendorf

School of Biological and Marine Sciences

Mangrove ecosystems face significant threats from climate change and human activities. In West Benin, the invasive grass Paspalum vaginatum disrupts sedimentation and hydrology, creating anoxic conditions and nutrient imbalances. To address this, we implemented a cost-effective restoration strategy focused on hydrological repair, engaging local communities to excavate 26 artificial channels and clear 19 existing ones, restoring tidal flow to 30 ha of degraded mangrove forest. Of this, 20 ha were planted with Rhizophora racemosa propagules, while 10 ha remained unplanted due to unsuitable micro-topographic conditions. This intervention, costing $1394.3 USD per hectare, adjusted sediment levels to match natural micro-topography, enabling …

Surf Stewardship And Coastal Change: A Combined Report For The North Devon Unesco Biosphere Reserve And The North Devon World Surfing Reserve, Kizzy Beaumont

School of Biological and Marine Sciences

Executive summaryNorth Devon’s coastline sits within a layered governance setting, including statutory marine plans, inshore fisheries management, coastal and shoreline planning, protected areas, and seasonal bathing water monitoring, led by national regulators and local authorities. Within this wider context, this study focuses on how two non-statutory designations, the North Devon UNESCO Biosphere Reserve and the North Devon World Surfing Reserve (WSR), canwork together. The work forms part of a PhD on Transformative Ocean Governance and was motivated by the North Devon WSR’s designation and the opportunity to understand how the two designations might complement each other in practice. We convened …

Characterisation Of Tyre Wear Particle Transport From Road Runoff To Sea In Coastal Environments, Florence N.F. Parker-Jurd, Geoffrey D. Abbott, Daniel C. Conley, Cijo M. Xavier, Florian Pohl, Richard C. Thompson

School of Biological and Marine Sciences

Data on the fate of tyre wear particles (TWPs) within aquatic environments is limited. This study quantified TWPs entering estuaries in stormwater drainage and atmospheric fallout, and once they have reached the marine environment, within surface waters and sediments. TWPs were found at concentrations of 0.4 mg/L, 2.55 mg/m2/d, 0.00063 mg/L, and 0.96 g/kg respectively. Samples were partitioned by size to examine the distribution of TWP mass. 80-90% of TWP mass entering marine systems (stormwater and atmospheric fallout) lay between 31-125 µm. Larger particles preferentially accumulated in sediments where ∼50 % of TWP mass was >250 μm, compared to surface …

Workshop - Supercharging Your Engineering Classes With Ethics!, Shannon Chance

Research Outputs: 2025-Present

Are you ready to energize your students’ learning of engineering ethics? Join us for a high-voltage, interactive workshop where we’ll unlock the power of the Routledge International Handbook of Engineering Ethics Education—an opensource treasure trove of cutting-edge knowledge and active learning strategies!This dynamic workshop is designed for educators who want to infuse their courses with innovative, discipline-specific ethics learning methods. Through gamified exploration, creative brainstorming, and collaborative problem-solving, you’ll walk away with practical strategies to integrate ethics into any engineering course.We’ll kick things off with a dynamic guided tour of the handbook, unveiling its structure and offerings. Then, we’ll divide …

Colliding Ideas: Artistic Explorations Of Data Surveillance And Data Protection, Lucy Royal-Dawson, Katherine Nolan, Eugene Mcnamee, Laura O’Connor, Emma Campbell, Anna Pathé-Smith, Kyle Boyd, Daniel Philpott

Research Outputs: 2025-Present

This paper presents a case study of a pilot interdisciplinary collaboration between digital technology law scholars and academic creative practitioners leading to the public art exhibition User Content? in Belfast in the autumn of 2024. Called LawTech Collider to encapsulate the premise that communication across disciplinary boundaries is often unpredictable, this interdisciplinary collaboration was conceptualised as a collision of ideas aimed at generating unforeseeable outcomes for collaborators and audience, that could be harvested, analysed and utilised as jumping off points for further work. The LawTech Collider pilot shared research related to data protection issues, particularly in social media and fertility …

Challenges In Adapting Fibre Optic Sensors For Biomedical Applications, Sahar Karimian, Muhammad Mahmood Ali, Marion Mcafee, Waqas Saleem, Dineshbabu Duraibabu, Sanober Farheen Memon, Elfed Lewis

Research Outputs: 2025-Present

Fibre optic sensors (FOSs) have developed as a transformative technology in healthcare, often offering unparalleled accuracy and sensitivity in monitoring various physiological and biochemical parameters. Their applications range from tracking vital signs to guiding minimally invasive surgeries, enabling advancements in medical diagnostics and treatment. However, the integration of FOSs into biomedical applications faces numerous challenges. This article describes some challenges for adopting FOSs for biomedical purposes, exploring technical and practical obstacles, and examining innovative solutions. Significant challenges include biocompatibility, miniaturization, addressing signal processing complexities, and meeting regulatory standards. By outlining solutions to the stated challenges, it is intended that this …

Integration Of The Portionsize Ed App Into Snap-Ed For Improving Diet Quality Among Adolescents In Hawaii: A Randomized Pilot Study, Emerald S. Proctor, Kiari H.L. Aveiro, Ian Pagano, Lynne R. Wilkens, Leihua Park, Leilani Spencer, Jeannie Butel, Corby K. Martin, John W. Apolzan, Rachel Novotny, John Kearney, Chloe P. Lozano

Research Outputs: 2025-Present

Background/Objectives: Coupling mobile health (mHealth) technology with community-based nutrition programs may enhance diet quality in adolescents. This pilot study evaluated the feasibility, acceptability, and preliminary efficacy of integrating PortionSize Ed (PSEd), an image-assisted dietary assessment and education app, into the six-week Hawaii Food and Lifeskills for Youth (HI-FLY) curriculum delivered via Supplemental Nutrition Assistance Program Education (SNAP-Ed). Methods: Adolescents (grades 6–8) from two classrooms were cluster-randomized into HI-FLY or HI-FLY + PSEd. Both groups received HI-FLY and completed Youth Questionnaires (YQ) and food records (written or app-based) at Weeks 0 and 7. Feasibility and acceptability were assessed via enrollment, attrition, …

Ai-Driven Smart Shopping Carts With Real-Time Tracking And Inventory Forecasting For Enhanced Retail Efficiency, Muhammad Imran Zulfiqar, Ayesha Khalid, Abubakr Siddig, Muhammad Junaid Nawaz, Salim Saay

Research Outputs: 2025-Present

This paper presents an AI-driven smart shopping cart system designed to enhance retail efficiency and customer experience through real-time data analytics and machine learning. Traditional shopping carts lack capabilities for adaptive tracking, inventory management, and personalized customer interaction. Our system addresses these gaps with a multi-layered architecture that integrates person-specific tracking, reinforcement learning (RL) for navigation, and Long Short-Term Memory (LSTM) networks for demand forecasting, alongside seamless Point-of-Sale (POS) integration for automated billing. The architecture comprises real-time data capture, edge computing for low-latency decisions, and cloud processing for customer profiling and inventory management. Experimental results demonstrate notable improvements in tracking …

A Dual-Band Planar Antenna For Angle-Of-Arrival Estimation In On-Body Iot Devices, Abel Zandamela, Nicola Marchetti, Max J. Ammann, Adam Narbudowicz

Research Outputs: 2025-Present

This article proposes a planar dual-band beam-steering compact antenna for Angle-of-Arrival (AoA) estimation in on-body Internet of Things (IoT) devices. The antenna operates at 2.34 and 5.65 GHz bands, with a diameter smaller than λ/2 and a profile of λ/100 , where λ is the wavelength at the lower band. The spherical modes theory is used to discuss the beam-steering and dual-band characteristics, demonstrating continuous beam-scanning performance across the entire horizontal plane. These properties are then studied to realize AoA estimation, where the performance is tested in free space and with a multilayer phantom. Overall, it is demonstrated that a …

A High Balance-Ratio Dipole With Low Passive Intermodulation Distortion, Kok Loon Wong, Max J. Ammann

Research Outputs: 2025-Present

A wideband grid dipole with low passive intermodulation (PIM) distortion, low profile, and low cost is proposed for multi-input multi-output (MIMO) cellular base station applications. The proposed dipole with a high ratio of unbalanced to balanced current can be achieved by introducing a circular loop at the center of a dipole arm to suppress the unwanted current traveling from the dipole arm to outer coaxial shield. As a result, the profile can be reduced from 0.25λ 0to 0.19 λ 0 due to a 6-dB improvement in PIM performance. The third-order PIM distortion <-151 dBc (at 2 × 43 dBm carriers) is obtained over the operating bandwidth. The 14-dB impedance bandwidth is 43% over the frequency range of 639-989 MHz.

A Hybrid Transformer Architecture For Multiclass Mental Illness Prediction Using Social Media Text, Adnan Karamat, Muhammad Imran, Muhammad Usman Yaseen, Rasool Bukhsh, Sheraz Aslam, Nouman Ashraf

Research Outputs: 2025-Present

Mental illness prediction through text involves employing natural language processing (NLP) techniques and deep learning algorithms to analyze textual data for the identification of mental disorders. Therefore, machine learning and deep learning algorithms have been utilized in the existing literature for the detection of mental illness. However, current systems exhibit suboptimal performance primarily due to their reliance on traditional embedding techniques and generic language models to generate text embeddings. To address this limitation, there is a requirement for domain-specific pretrained language models that comprehensively understand the context found in posts of person with a psychiatric disability patients. Posts from individuals …

An Empirical Evaluation Of Communication Technologies And Quality Of Delivery Measurement In Networked Microgrids, Yasin Emir Kutlu, Ruairí De Fréin

Research Outputs: 2025-Present

Networked microgrids (NMG) are gaining popularity as an example of smart grids (SG), where power networks are integrated with communication technologies. Communication technologies enable NMGs to be monitored and controlled via communication networks. However, ensuring that communication networks in NMGs satisfy quality of delivery (QoD) metrics such as the round trip time (RTT) of NMG control data is necessary. This paper addresses the communication network types and communication technologies used in NMGs. We present various NMG deployments to demonstrate real-life applicability in different contexts. We develop a real-time NMG testbed using real hardware, such as Cisco 4331 Integrated Services Routers …

A Systematic Review Of The Use Of Electronic Nose And Tongue Technologies For Detecting Food Contaminants, Muhammad Zia Ul Haq, Baljit Singh, Xolile Fuku, Ahmed Barhoum, Furong Tian

Research Outputs: 2025-Present

Sensor operations in the food industry are faced with several major challenges, including in sensitivity, selectivity, accuracy and rapid detection. Among emerging technologies, e-nose and e-tongue systems have attracted much attention from researchers. This review examines 112 studies published from 2004 to 2025, and examines the functionalities and performance in detecting various food product-associated analytes. The sensitivity of e-nose and e-tongue systems was analyzed using various data processing techniques. Recent research and development in leading countries (i.e., China, United Kingdom, Columbia, India, Portugal, Spain, Hungary, Ireland) was examined. The findings indicate that principal component analysis (PCA) was the most widely …

Empirical Study Of Far-Field Radio Frequency Wireless Power Transfer Testbed For Underground Mines Based On 1.8 Ghz, Anabi Hilary Kelechi, Samuel Frimpong

Mining Engineering Faculty Research & Creative Works

A novel 1.8 GHz far-field wireless power transfer (WPT) testbed was designed to achieve long-distance energy harvesting in underground mine (UM). Prior experimental studies confirm that underground mines experience 50 dB radio frequency (RF) signal attenuation compared to a typical wireless environment. Due to this severe signal attenuation, the currently proposed radio frequency energy harvesting (RF-EH) testbed cannot be deployed in underground mines. In this study, we proposed, designed and performed an empirical study with a military-grade class A radio frequency wireless power transfer (RF-WPT) testbed. The various digital modulation schemes experimented with included: BPSK, DBPSK, QPSK, OQPSK, Pi4DQPSK, 8PSK, …