Engineering Commons^™

Epitaxial 4h-Sic Radiation Detectors For Harsh Environment Applications, Joshua W. Kleppinger

Theses and Dissertations

Epitaxial 4H-silicon carbide (4H-SiC) is an essential semiconductor material for the development of harsh environment radiation detectors due to its excellent electrical and thermal properties and resistance to radiation damage, opening the door for a wide variety of applications in NASA space missions, nuclear safeguards, and nuclear energy. However, the low atomic numbers of its constituent atoms Si (Z = 14) and C (Z = 6) make 4H-SiC nearly transparent to most neutrally charged radiation which can only be compensated using thicker active volumes.

In this dissertation, Ni/n-4H-SiC Schottky barrier diode (SBD) radiation detectors are fabricated for the first time …

The Submission Of A Section 513(G) Request For Information, Morgan Ashley Lano

Theses and Dissertations

The Food and Drug Administration designates all medical devices into one of three general classes contingent on their intended use, indications for use, and potential risk to the user. This classification dictates the further path the device must take to be approved for the commercial market. Section 513(g) of the Federal Food, Drug, and Cosmetic Act (21 U.S.C. 360c(g)) is submitted in order to gain the agency’s unofficial classification and suggested regulatory requirements. The Coagulation Companion (MicroVide) is a device designed to fluorescently quantify a key enzyme involved in the coagulation cascade, plasmin, in pediatric patients. clot formation and degradation …

Coalitional Game Theory For Stormwater Management And Green Infrastructure Practices, Carly Lawyer

Theses and Dissertations

As global warming and climate Variability bring about more frequent and intense rainstorms and accelerate sea level rise, our social and built environments are at heightened risk of flood induced damages and consequent costs. This is particularly true for coastal areas, facing the coupled effects of these threats while serving as home to people, businesses, unique landscapes, and historic landmarks. Complex decisions at all levels of government and community planning stand to benefit from increased understanding of possible outcomes and pathways resulting from decentralized human behavior and decision making in the realm of water resources engineering and management. Game theory …

Fundamental Study Of Multiphase Solid/Molten Carbonate Membranes For Co2 Capture And Conversion, Xin Li

Theses and Dissertations

Due to the burning of fossil fuels and human activities, many greenhouse gases such as carbon dioxide are released into the atmosphere, which causes global warming and has a significant negative impact on the human living environment. Therefore, it is imperative to develop carbon capture technologies that can prevent carbon dioxide emission and reduce carbon dioxide concentration in the air. Further, if the captured carbon dioxide can be converted back to fossil fuels, the emission of carbon dioxide is delayed, and more time is gained to develop new and advanced carbon free and clean energy technologies. Motivated by this thought, …

Engineering And Optimization Of An Aav Based Viral Vector To Limit The In-Vitro Expression Of Sars-Cov-2 Spike-Protein, Ronald Anderson Smithwick

Theses and Dissertations

Severe Acute Respiratory Syndrome Corona Virus-2, also known as SARS-CoV-2, is a newly emerged respiratory viral pathogen. The outbreak of SARS-CoV-2 started in Wuhan, China, in late 2019 and rapidly transformed into a pandemic. Several vaccines have been developed and are available to the public on an unprecedented timeline, protecting individuals from a severe infection and saving precious lives. However, none of the vaccines can provide a sterile immunity, and the SARS-CoV-2 transmission cycle continues. Additionally, because of the mutation-prone RNA genome and immunological selection pressure, SARS-CoV-2 is rapidly mutating, especially the Spike(S) protein, and new viral strains are arising …

Classification Of Acoustic Emission Data Into Load Steps Using An Artificial Neural Network, Allen Ross

Theses and Dissertations

The average age of bridges in South Carolina is approaching 40 years, very close to the 50-year service life. Almost 11% of the bridges in South Carolina are rated as structurally deficient, greater than the national average of 7.5% (South 2021). Health monitoring is the concept that in-situ sensors can continuously monitor civil structures and send real time signals of damage. This process allows for automation and could save time and money on the inspection and load rating of bridges. Health monitoring requires sensors that provide uninterrupted data without sacrificing the functionality of the bridge. A prime candidate for this …

Manufacturing Process Considerations When Transitioning From Thermoset To Thermoplastic Composite Material For Urban Air Mobility Propellers, Samuel Leonard Jones Iii

Theses and Dissertations

Aerospace manufacturing has seen continually increased use of carbon fiber reinforced polymers in aircraft structures. The favorable strength to weight ratios, as well as the increased resistance to fatigue and corrosion, compared to metallic structures, provide a common argument for further research and development of composite airframes. Two main classes of carbon fiber reinforced polymers can be distinguished, thermosetting polymers and thermoplastic polymers. Thermoset polymers have been relied on for decades for the ability to reliably produce strong laminates for aircraft structures. By comparison thermoplastic polymers experience less comparable utilization on primary structures despite boasting similar or greater performance capabilities …

In Vitro And In Vivo Studies Of Mediator Kinase, Lili Wang

Theses and Dissertations

This project addresses the molecular and in vivo activities of transcriptionregulating module CKM, comprised of CDK8 (or CDK19) kinases, Cyclin C, MED12 and MED13. Our lab has found that CDK8/19 potentiates NFkB-induced transcription. In this study, we confirmed that both CDK8 and CDK19 regulate gene expression in kinasedependent manner. CDK8 and CDK19 are not required for NFkB-induced transcription, which also occurs in HEK293-dKO (CDK8 and CDK19 double knockout) cells, but such transcription becomes CDK8/19-dependent upon re-expression of CDK8 or CDK19 in dKO. Surprisingly. pre-treatment with a CDK8/19 inhibitor decreases the effect of CDK8/19 on NFkB-induced transcription.

In another set of …

Interrogating The Role Of Ing4 In Hematopoietic Stem Cells And Cancer, Zanshé Thompson

Theses and Dissertations

We recently identified the tumor suppressor, Ing4, as a critical regulator of hematopoietic stem cell (HSC) homeostasis. The mis-regulation of Ing4 in human cancers has also been shown to lend malignant cells specific advantages that support carcinogenesis and tumor progression. This activity is, in part, due to Ing4 mediated regulation of overlapping signaling pathways that regulate stem cell activity and cancer cells, including NF-B and c-Myc. In a two-part study, we have investigated the role of Ing4 in murine hematopoiesis and human malignancies. While the specific mechanisms of stem cell self-renewal, maintenance, and differentiation are poorly characterized, we have determined …

Date-Leaf Carbon Particles For Green Enhanced Oil Recovery, Bashirul Haq, Md Abdul Aziz, Dhafer Al Shehri, Nasiru Salahu Muhammed, Shaik Inayath Basha, Abbas Saeed Hakeem, Mohammed Ameen Ahmed Qasem, Mohammed Lardhi, Stefan Iglauer

Research outputs 2022 to 2026

Green enhanced oil recovery (GEOR) is an environmentally friendly enhanced oil recovery (EOR) process involving the injection of green fluids to improve macroscopic and microscopic sweep efficiencies while boosting tertiary oil production. Carbon nanomaterials such as graphene, carbon nanotube (CNT), and carbon dots have gained interest for their superior ability to increase oil recovery. These particles have been successfully tested in EOR, although they are expensive and do not extend to GEOR. In addition, the application of carbon particles in the GEOR method is not well understood yet, requiring thorough documentation. The goals of this work are to develop carbon …

Macrophage-Targeted Anti-Ccl2 Immunotherapy Enhances Tumor Sensitivity To 5-Fluorouracil In A Balb/C-Ct26 Murine Colon Carcinoma Model Measured Using Diffuse Reflectance Spectroscopy, Shelby N. Bess, Gage J. Greening, Narasimhan Rajaram, Timothy J. Muldoon

Biomedical Engineering Faculty Publications and Presentations

Background

Immunotherapy in colorectal cancer (CRC) regulates specific immune checkpoints and, when used in combination with chemotherapy, can improve patient prognosis. One specific immune checkpoint is the recruitment of circulating monocytes that differentiate into tumor-associated macrophages (TAMs) and promote tumor angiogenesis. Changes in vascularization can be non-invasively assessed via diffuse reflectance spectroscopy using hemoglobin concentrations and oxygenation in a localized tumor volume. In this study, we examine whether blockade of monocyte recruitment via CCL2 (macrophage chemoattractant protein-1) leads to enhanced sensitivity of 5-fluorouracil (5-FU) in a CT26-Balb/c mouse model of CRC. It was hypothesized that the blockade of TAMs will …

Impact Of Corrosion Inhibitors And Metals On Antibiotic Resistance In Drinking Water Distribution Systems, Lee Kimbell

Dissertations (1934 -)

Drinking water distribution systems are important for transporting clean drinking water. Antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs) in drinking water may pose risks to human and environmental health. Aging infrastructure such as metal pipes can experience significant corrosion, which can have impacts on the chemical and microbial water quality inside of drinking water systems. Chemicals are commonly added to drinking water to prevent corrosion (i.e., corrosion inhibitors). The metal pipe materials and corrosion inhibitors containing metals may have impacts on the bacteria and ARGs in drinking water systems. This research investigated the presence of ARGs in real-world …

Evaluation Of Shoulder Complex Kinematics Pre And Post Rotator Cuff Repair And Effects Of Altering Rotation Sequence, Alyssa Joy Schnorenberg

Dissertations (1934 -)

Approximately 25% of adults in the United States will sustain a rotator cuff tear in their lifetime. Rotator cuff tears can impede one's ability to perform activities of daily living and maintain functional independence. Nearly 300,000 rotator cuff repair surgeries are performed annually and aim to decrease pain, increase range of motion, and enable return to the workforce.The goal of postoperative rehabilitation is to allow healing of the repaired cuff while restoring function and range of motion, but it is demanding and may require a year. However, most rehabilitation protocols are based solely on clinical experience rather than on evidence-based …

Prospect-Theoretic Demand Response Management In Smart Grid Systems, Sean A. Pluemer

Electrical and Computer Engineering ETDs

In smart grid systems, demand response management (DRM) permits the efficient utilization and control of electrical loads. This control is accomplished by modifying the price of electricity or by shifting peak electricity consumption to off-peak periods. This thesis proposes a DRM model composed of multiple utility companies and multiple consumers. Due to the risk caused by the users' excessive power demands, each utility company has the potential for failure. Prospect Theory principles capture the individual consumer's risk-aware behavior. As a result, a multi-leader multi-follower Stackelberg game is introduced, involving the utility companies (leaders) and consumers (followers). The Stackelberg game determines …

Beem: Data-Driven Building Energy Benchmarking For Singapore, Pandarasamy Arjunan, Kameshwar Poolla, Clayton Miller

Research Collection College of Integrative Studies

Building energy use benchmarking is the process of measuring the energy performance of buildings relative to their peer group for creating awareness and identifying energy-saving opportunities. In this paper, we present the design and implementation of BEEM, a data-driven energy use benchmarking system for buildings in Singapore. The peer groups for comparison are established using a public energy disclosure data set. We use an ensemble tree algorithm for accurately modeling building energy use and for identifying the most influential factors. Our models reduce the prediction error from 24.39% to 6.04%, on average, when compared to the baseline linear regression models, …

Home Ranch - A Single Family Residential Development In Gilroy, Ca, Patrick Hagerty, Luke Lazzarini

Civil, Environmental and Sustainable Engineering Senior Theses

Project Overview

The purpose of this project was to provide a housing development plan for an undeveloped plot in the South Gilroy area.

Project Statement

The City of Gilroy needs additional housing to support the growth of their community. This project seeks to determine the best use of the undeveloped McCutchin Creek subplot and design its site layout. This plot of land is constrained by the City development codes, the 2023 City of Gilroy housing element, and the site specific development code.

The deliverables presented to the client are a grading plan, site layout plan, stormwater and sewage plan, potable …

Emergency Relief Structure For Natural Disaster Evacuees And The Homeless Population, Madeline Yee, Margaret Tolan, Rodrigo Mendez

Civil, Environmental and Sustainable Engineering Senior Theses

In California, many communities lack the resources to provide support for natural disaster evacuees and those devastated by economic loss (our growing homeless community). An improved interim housing solution needs to be developed - a solution that provides comfort, privacy, and community - in the hopes of maintaining the dignity of those experiencing these hardships. In order to address this problem, the team designed a modular, panelized structure to provide shelter to those who are subject to emergency situations. A structural design and analysis was completed for both a cold-formed steel and a timber structure. A parcel of land in …

Characterization Of Disorder And Its Effects On Two-Dimensional Transition Metal Dichalcogenides, Krystal Rose York

Dissertations

Since the discovery of the unique electrical properties of graphene in 2004, there has been an increased interest in two-dimensional (2D) materials. However, graphene is known as a zero-gap semi-metal, thus spurring further research in order to find suitable 2D semiconductor materials. Transition metal dichalcogenides (TMDs) are a class of layered materials that have recently attracted attention. In particular, MoS2, MoSe2, WS2, and WSe2 have direct band gaps in their monolayer form and favorable electrical properties, making them promising materials for both electronic and optoelectronic applications. Like many 2D materials, studies in semiconductor TMD materials began with mechanically exfoliated sheets …

Water Storage Analysis And Design Portfolio For Nocaima, Colombia, Philip Bortz, Lola Martin Uribe, Claudia Newell, Gisselle Paz-Ortiz

Civil, Environmental and Sustainable Engineering Senior Theses

In partnership with Santa Clara University Frugal Innovation Hub and the Institución Universitaria of Politécnico Grancolombiano, the project aims to provide a single household, self-managed, water storage solution for residents of rural Nocaima, Colombia. Currently, the impacts of climate change and the lack of a sufficient community water system threaten the water security of rural Nocaima and the livelihoods of its residents. Proposed are two rainwater collection and storage systems, one including slow sand filtration and tank storage system, and the other a retention pond that will not be filtered. Components of the solutions include collection, storage, and filtration systems, …

Supetai Well Water Purification, Claire Russon, Geovanni Usher, Nicole Valdivia

Civil, Environmental and Sustainable Engineering Senior Theses

The rural Kenyan community of Oldonya Rasha had depended on water from a distant spring of unknown quality from which there have been reports of typhoid. A non-governmental organization, Sabore’s Well, built the centrally-located Supetai Well with the intention of solving the lack of accessible potable water, but due to high fluoride levels in the groundwater, this water source is unsafe. The team designed a water treatment system to be integrated into the existing well infrastructure that removes fluoride and pathogens to meet Kenyan and World Health Organization (WHO) water quality standards. The design includes dosage of alum and soda …

Pre-Training Graph Neural Networks For Link Prediction In Biomedical Networks, Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee Kong Kwoh, Jiawei Luo, Xiaoli Li

Research Collection School Of Computing and Information Systems

Motivation: Graphs or networks are widely utilized to model the interactions between different entities (e.g., proteins, drugs, etc) for biomedical applications. Predicting potential links in biomedical networks is important for understanding the pathological mechanisms of various complex human diseases, as well as screening compound targets for drug discovery. Graph neural networks (GNNs) have been designed for link prediction in various biomedical networks, which rely on the node features extracted from different data sources, e.g., sequence, structure and network data. However, it is challenging to effectively integrate these data sources and automatically extract features for different link prediction tasks. Results: In …

Understanding The Mechanism Of Deep Learning Frameworks In Lesion Detection For Pathological Images With Breast Cancer, Wei-Wen Hsu, Chung-Hao Chen, Chang Hao, Yu-Ling Hou, Xiang Gao, Yun Shao, Xueli Zhang, Jingjing Wang, Tao He, Yanhong Tai

Electrical & Computer Engineering Faculty Publications

With the advances of scanning sensors and deep learning algorithms, computational pathology has drawn much attention in recent years and started to play an important role in the clinical workflow. Computer-aided detection (CADe) systems have been developed to assist pathologists in slide assessment, increasing diagnosis efficiency and reducing misdetections. In this study, we conducted four experiments to demonstrate that the features learned by deep learning models are interpretable from a pathological perspective. In addition, classifiers such as the support vector machine (SVM) and random forests (RF) were used in experiments to replace the fully connected layers and decompose the end-to-end …

Aerial Radiation Detection Identification And Measurement System Detector Material Comparison Study, Benjamin C. Troxell, Kacey D. Mcgee, Christina L. Dugan

Faculty Publications

The 20th Chemical Biological Radiological Nuclear and Explosives Command (CBRNE) currently utilizes an airborne sodium iodide gamma and beta detection system to map radiation fields over large areas of interest. The 20th CBRNE explored emergent detector technologies utilizing two detection materials; thallium-activated cesium iodide and high purity germanium (HPGe). These detectors were simulated at various altitudes and compared to background measurements. The sodium iodide detector failed to provide isotopic discrimination at distance. The thallium-activated cesium iodide CsI(Tl) detector provided sufficient absolute efficiency and energy resolution to identify isotopics at distance. The HPGe detector provided the best energy resolution. However, current …

Evaluating Climatic Influences On The Technical Performance Of Built Infrastructure Assets, Sarah L. Brown, Steven J. Schuldt, Michael N. Grussing, Michael A. Johnson, Justin D. Delorit

Faculty Publications

Asset performance evaluations serve as a benchmark that can be used to make asset manufacturer selection decisions, i.e., choosing the brand of manufacturer that provides the highest performance among all brand competitors. Understanding the environmental conditions to which assets are subjected provides facility managers another data point to understand asset performance. This research builds upon a previously published performance-based manufacturer selection metric by investigating the linkage between asset performance and exposure to local climate, using chiller and air handler data from 20 United States Air Force installations. The link between environmental factors such as Heating Degree Days (HDD); Cooling Degree …

Pseudo-Modal Expansions For Generating Random Electromagnetic Beams, Milo W. Hyde Iv, Olga Korotkova

Faculty Publications

Excerpt: We derive two pseudo-modal expansions that provide insight into the structure of stationary electromagnetic sources and can be used for their physical realization and in computer simulations. Both expansions are derived from the vectorial version of Bochner’s theorem of functional analysis.

Biomechanical And Psychological Predictors Of Failure In The Air Force Physical Fitness Test, Jeffrey Turner, Brent T. Langhals, Torrey J. Wagner

Faculty Publications

Physical fitness is a pillar of U.S. Air Force (USAF) readiness and ensures that Airmen can fulfill their assigned mission and be fit to deploy in any environment. The USAF assesses the fitness of service members on a periodic basis, and discharge can result from failed assessments. In this study, a 21-feature dataset was analyzed related to 223 active-duty Airmen who participated in a comprehensive mental and social health survey, body composition assessment, and physical performance battery. Graphical analysis revealed pass/fail trends related to body composition and obesity. Logistic regression and limited-capacity neural network algorithms were then applied to predict …

Bistability And Switching Behavior In Moving Animal Groups, Daniel Strömbom, Stephanie Nickerson, Catherine Futterman, Alyssa Difazio, Cameron Costello, Kolbjørn Tunstrøm

Northeast Journal of Complex Systems (NEJCS)

Moving animal groups such as schools of fish and flocks of birds frequently switch between different group structures. Standard models of collective motion have been used successfully to explain how stable groups form via local interactions between individuals, but they are typically unable to produce groups that exhibit spontaneous switching. We are only aware of one model, constructed for barred flagtail fish that are known to rely on alignment and attraction to organize their collective motion, that has been shown to generate this type of behavior in 2D (or 3D). Interestingly, another species of fish, golden shiners, do exhibit switching …

Spydrnet - An Open-Source Python Netlist Representation For Analysis And Transformation, Dallin Mark Skouson

Theses and Dissertations

SpyDrNet is an open-source structural netlist representation framework written in Python that allows users to create, analyze, and manipulate structural netlists. The internal format was designed to hold generic source structural netlists. Verilog and EDIF netlists generated by Vivado were read and written by SpyDrNet. Additional API functionality was built around the netlist representation. An application applying triple modular redundancy and duplication with compare was created and successfully used.

Soft Magnetic Composite Substrates For Rf/Microwave Applications, Poonam Lathiya

USF Tampa Graduate Theses and Dissertations

Novel soft magnetic ferrite materials will play a crucial role in next-generation over one trillion sensors (also known as “trillion sensor economy) related to 5G communications and internet of things, as these materials can achieve improved wireless power and signal transfer efficiency with high operation frequency. In this work, Ni-Cu-Zn and Ni-Co-Zn ferrites with high permeability, high permittivity, and low magnetic and dielectric losses were prepared for RF and microwave device applications. Frequency dispersion of RF complex permeability of Ni-Cu-Zn ferrites prepared under different applied hydraulic pressures and durations have been thoroughly investigated. The Ni0.35Cu0.19Zn0.46Fe2O4 ferrites were prepared by conventional …

Finding Signal In The Noise: High-Fidelity, Quantitative, Optical Blood Perfusion Imaging With Interference, Abdul Mohaimen Safi

USF Tampa Graduate Theses and Dissertations

For label-free, non-invasive, wide field-of-view (FOV) imaging/monitoring of blood flow, speckle-based approaches are gaining popularity. However, to obtain quantitative flow information, speckle techniques rely on the multi-exposure scheme which requires complex, bulky, and expensive instrumentation, limiting its application to preclinical studies. This dissertation directly addresses these issues. In the first part of this dissertation, we report a novel single shot synthetic multi-exposure speckle imaging (syMESI) method to synthetically produce multi-exposure images from one short single exposure speckle image using spatial binning/averaging. We demonstrate that syMESI can reimagine conventional hardware based MESI, with low-cost single exposure laser speckle imaging (LSCI) instrumentation. …