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A Privacy Preserving Online Learning Framework For Medical Diagnosis Applications, Trang Pham Ngoc Nguyen Jan 2022

A Privacy Preserving Online Learning Framework For Medical Diagnosis Applications, Trang Pham Ngoc Nguyen

Theses: Doctorates and Masters

Electronic Health records are an important part of a digital healthcare system. Due to their significance, electronic health records have become a major target for hackers, and hospitals/clinics prefer to keep the records at local sites protected by adequate security measures. This introduces challenges in sharing health records. Sharing health records however, is critical in building an accurate online diagnosis framework. Most local sites have small data sets, and machine learning models developed locally based on small data sets, do not have knowledge about other data sets and learning models used at other sites.

The work in this thesis utilizes …


Techno-Economic Feasibility Of Electrifying Food Markets In Nigeria With Biogas Hybrid Mini-Grids, Demi Temitope Ogunwo Jan 2022

Techno-Economic Feasibility Of Electrifying Food Markets In Nigeria With Biogas Hybrid Mini-Grids, Demi Temitope Ogunwo

Cal Poly Humboldt theses and projects

This thesis explored the feasibility of electrifying a food market in an urban city in Nigeria with a hybrid biogas-powered mini-grid. Under the Energizing Economies Initiative of the Rural Electrification Agency of Nigeria, nine markets in the country currently receive constant access to electricity via hybrid mini-grid systems. As a majority of these systems are diesel-solar-battery systems, this thesis explored the use of biogas generators as a substitute for diesel generators in hybrid mini-grids for food markets. A fruit and vegetable market in Ketu, Lagos was used as a case study for the research. The research for this thesis was …


Process Optimization For An Integrated Reverse Osmosis—Pressure Retarded Osmosis Pilot-Scale System Operated On Humboldt Bay, Ca, Galen O'Toole Jan 2022

Process Optimization For An Integrated Reverse Osmosis—Pressure Retarded Osmosis Pilot-Scale System Operated On Humboldt Bay, Ca, Galen O'Toole

Cal Poly Humboldt theses and projects

Pressure retarded osmosis (PRO) is an emerging osmotic power technology that could mitigate the major challenges faced by seawater reverse osmosis desalination (RO): brine disposal and high energy consumption. The primary focus of this paper is process optimization for a linked seawater reverse osmosis (RO) and pressure retarded osmosis (PRO) water purification system. PRO generates power by using osmosis to “pump” water through a membrane from low pressure and low concentration to high pressure and high concentration (RO brine). This commercial-scale pilot effort explores process optimization for pressure retarded osmosis as an industrial process rather than theoretical or experimental process. …


Raman Spectroscopy Reveals Phenotype Switches In Breast Cancer Metastasis, Santosh Kumar Paidi, Joel Rodriguez Troncoso, Mason G. Harper, Zhenhui Liu, Khue G. Nguyen, Sruthi Ravindranathan, Lisa Rebello, David E. Lee, Jesse D. Ivers, David A. Zaharoff, Narasimhan Rajaram, Ishan Barman Jan 2022

Raman Spectroscopy Reveals Phenotype Switches In Breast Cancer Metastasis, Santosh Kumar Paidi, Joel Rodriguez Troncoso, Mason G. Harper, Zhenhui Liu, Khue G. Nguyen, Sruthi Ravindranathan, Lisa Rebello, David E. Lee, Jesse D. Ivers, David A. Zaharoff, Narasimhan Rajaram, Ishan Barman

Biomedical Engineering Faculty Publications and Presentations

The accurate analytical characterization of metastatic phenotype at primary tumor diagnosis and its evolution with time are critical for controlling metastatic progression of cancer. Here, we report a label-free optical strategy using Raman spectroscopy and machine learning to identify distinct metastatic phenotypes observed in tumors formed by isogenic murine breast cancer cell lines of progressively increasing metastatic propensities. Methods: We employed the 4T1 isogenic panel of murine breast cancer cells to grow tumors of varying metastatic potential and acquired label-free spectra using a fiber probe-based portable Raman spectroscopy system. We used MCR-ALS and random forests classifiers to identify putative spectral …


Modeling Document Classification To Automate Mental Health Diagnosis, William M. Tadlock Jan 2022

Modeling Document Classification To Automate Mental Health Diagnosis, William M. Tadlock

EWU Masters Thesis Collection

The objective of this study is to determine if diagnosis documents can be used with document classification to automatically diagnose mental health conditions. Document classification allows text documents to be analyzed and organized into their appropriate classes based on the features and words presented in the text. One application of this is within the medical field to automatically classify different patient diagnosis based on medical or patient notes. This research applied mental health diagnosis documents to automatically diagnose a group of patients with a mental health condition based on text-based survey data. This classification was approached through several feature engineering …


An Antimicrobial Polydopamine Surface Coating To Reduce Biofouling On Telemetry Tags Used In Marine Conservation Practices, Ariana Smies Jan 2022

An Antimicrobial Polydopamine Surface Coating To Reduce Biofouling On Telemetry Tags Used In Marine Conservation Practices, Ariana Smies

Dissertations, Master's Theses and Master's Reports

Satellite telemetry tags are used to track the migration patterns of large cetaceans. These tags penetrate the dermis and remain embedded in the underlying blubber tissue. As the dermis of cetaceans is host to a diverse microbiome, and it is impossible to clean the skin before implanting the devices, the potential for infection is increased when the tags penetrate through the skin. H2O2 is a potential antimicrobial agent that, in addition to showing broad-spectrum efficacy against gram-negative and gram-positive bacteria, can promote wound healing outcomes by promoting proliferative factors and peptides that protect against oxidative stress. However, …


Characterizing Locomotor Disturbance Perception In Young Adults, Daniel James Liss Jan 2022

Characterizing Locomotor Disturbance Perception In Young Adults, Daniel James Liss

Graduate Theses, Dissertations, and Problem Reports (ETD)

Falls during walking are a leading cause of injuries across aging. Many of these falls are due to slips and trips. The ability to perceive disturbances to ongoing motion may play an important role in the control of walking balance. However, disturbance perception has been investigated in standing balance, but its role in walking balance due to slip- and trip-like disturbances remains largely unknown. Characterizing locomotor disturbance perception in young adults may lead to a more comprehensive understanding of sensorimotor walking balance control.

This work defined locomotor disturbance perception in response to slip and trip-like disturbances in young adults. We …


A Novel Computational Network Methodology For Discovery Of Biomarkers And Therapeutic Targets, Qing Ye Jan 2022

A Novel Computational Network Methodology For Discovery Of Biomarkers And Therapeutic Targets, Qing Ye

Graduate Theses, Dissertations, and Problem Reports (ETD)

Lung cancer has the second highest cancer incidence rate and the top cancer-related mortality worldwide. An estimate from the American Cancer Society shows that, in 2022, there will be about 236,740 lung cancer cases (117,910 men and 118,830 women) in the US. To date, there are no prognostic/predictive biomarkers to select chemotherapy, immunotherapy, and radiotherapy in individual non-small cell lung cancer (NSCLC) patients. There is an unmet clinical need to identify patients with early-stage NSCLC who are likely to develop recurrence and to predict their therapeutic responses. This dissertation developed a novel computational methodology for modeling molecular gene association networks …


Tumor-Targeted Ph-Sensitive Manganese Oxide Nanoparticle For Enhanced Detection Of Breast Cancer Using Mri, Celia Martinez De La Torre Jan 2022

Tumor-Targeted Ph-Sensitive Manganese Oxide Nanoparticle For Enhanced Detection Of Breast Cancer Using Mri, Celia Martinez De La Torre

Graduate Theses, Dissertations, and Problem Reports (ETD)

In the United States, approximately 287,850 new cases of invasive breast cancer will be diagnosed, and over 43,000 women will die because of it in 2022. Currently, mammography is the gold standard for breast cancer surveillance. Although this detection technique is relatively cheap and fast, it misses about 1 in 5 breast cancers in younger women with dense breast tissue, causing a delay in treatment. Compared to mammography, magnetic resonance imaging (MRI) has superior soft-tissue contrast that elucidates structural differences within soft tissue to detect more breast cancers. However, MRI still misses

NEMO particles were produced by synthesizing manganese oxide …


Comparison Of Maintenance Cost Of Medium And Heavy-Duty Alternative Fuel And Diesel Vehicles, Isaac C. Boyce Jan 2022

Comparison Of Maintenance Cost Of Medium And Heavy-Duty Alternative Fuel And Diesel Vehicles, Isaac C. Boyce

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

Comparison of Maintenance Cost of Medium and Heavy-Duty Alternative Fuel and Diesel Vehicles

Isaac Boyce

This study was conducted to provide an in-depth analysis of the differences in maintenance cost with the use of alternative fuel and diesel in medium (MD) and heavy-duty (HD) vehicles. With the push toward lower emissions from transportation vehicles for a cleaner future, the United States of America (US) has incentivized the conversion from the use of conventional fossil fuel, diesel, to lower carbon alternatives. With the increased potential for the use of alternative fuels, an investigation is warranted to understand the differences. This …


Predictions Of Produced Water Quality And Recycled Water Optimization For Spatially-Distributed Wells In Point Pleasant Formation, Armel Quentin Mbakop Jan 2022

Predictions Of Produced Water Quality And Recycled Water Optimization For Spatially-Distributed Wells In Point Pleasant Formation, Armel Quentin Mbakop

Graduate Theses, Dissertations, and Problem Reports (ETD)

The treatment of produced water as a fracturing fluid is becoming an increasingly important aspect of water management surrounding the booming of the unconventional oil and gas industry. Two main problems facing the oil and gas industry are the availability of water for well drilling and completion and disposal of the produced water. Unconventional well drilling and completion in the Utica shale requires large amounts of water. The wastewater that results after production—containing high levels of organic and inorganic matter— is usually disposed of through deep well injection. A new approach reuses this produced water as part of subsequent fracturing …


A Tool For Biometric Interpretation Of Forensic Str Dna Profiles, Ahmad Jamal Baroudi Jan 2022

A Tool For Biometric Interpretation Of Forensic Str Dna Profiles, Ahmad Jamal Baroudi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Rapid DNA biometric identification applications are becoming more essential and widely used in human identity validation processes. Despite their powerful identification capabilities, processing a sample to generate a forensic DNA profile still takes longer compared with other rapid biometric technologies. Methods used to speed up the analysis could lead to signal artifacts similar to those arising from low copy or degraded DNA samples, making the electropherogram unsuitable for forensic interpretation and analysis. The goal of this research effort is to apply biometrics and mathematical approaches to forensic STR (Short Tandem Repeat) profiles. To accomplish this goal, a multi-function software tool …


Aerodynamic Performance Of A Biologically Inspired Hybrid Plasma-Mechanical Flow Control And Sensing Device, Joseph Dygert Jan 2022

Aerodynamic Performance Of A Biologically Inspired Hybrid Plasma-Mechanical Flow Control And Sensing Device, Joseph Dygert

Graduate Theses, Dissertations, and Problem Reports (ETD)

The continued high global demand for passenger and freight air traffic along with increased use of unmanned aerial vehicles operating in broader Reynolds number regimes has resulted in researchers examining alternative technologies, which would result in safer, more reliable, and superior performing aircraft. Aerodynamic flow control may be one of the most promising approaches to solving this problem, having already proven its ability to enable higher flow efficiency while simultaneously improving overall control of flow behavior such as laminar-to-turbulent transition. Recent research in aerodynamic flow control has seen a pronounced growth in the areas of biomimicry and plasma flow control …


Influence Of Saturation Nonequilibrium And Variable Operation Conditions On The Electromechanical Performance Of Ionic Polymer Metal Composite Actuator Architectures, Allison Maria Arnold Jan 2022

Influence Of Saturation Nonequilibrium And Variable Operation Conditions On The Electromechanical Performance Of Ionic Polymer Metal Composite Actuator Architectures, Allison Maria Arnold

Graduate Theses, Dissertations, and Problem Reports (ETD)

Electroactive polymers (EAPs) continue to gain attention for their potential to offer unique and versatile solutions in the soft robotic and flexible electronic industries. Ionic Polymer-Metal Composites (IPMCs) are a class of ionic-type EAPs which can be configured as capacitor actuators with very low voltage requirements (≤ 5 V AC or DC). Their compact, portable, and lightweight properties, coupled with a biomimetic bending actuation response make them ideal for human-machine integrated technologies such as medical implants, active skins, and artificial muscles. The Nafion-based IPMC can be described as a layered composite capacitor containing an ionic polymer core, sandwiched between chemically …


Machine Learning Based Real-Time Quantification Of Production From Individual Clusters In Shale Wells, Ayodeji Luke Aboaba Jan 2022

Machine Learning Based Real-Time Quantification Of Production From Individual Clusters In Shale Wells, Ayodeji Luke Aboaba

Graduate Theses, Dissertations, and Problem Reports (ETD)

Over the last two decades, there has been advances in downhole monitoring in oil and gas wells with the use of Fiber-Optic sensing technology such as the Distributed Temperature Sensing (DTS). Unlike a conventional production log that provides only snapshots of the well performance, DTS provides continuous temperature measurements along the entire wellbore.

Whether by fluid extraction or injection, oil and gas production changes reservoir conditions, and continuous monitoring of downhole conditions is highly desirable. This research study presents a tool for real-time quantification of production from individual perforation clusters in a multi-stage shale well using Artificial Intelligence and Machine …


Evaluating Effects Of Sediment On Microbial Loading In A Drinking Water Distribution System, Erika Osborne Jan 2022

Evaluating Effects Of Sediment On Microbial Loading In A Drinking Water Distribution System, Erika Osborne

Graduate Theses, Dissertations, and Problem Reports (ETD)

Drinking water distribution systems (DWDS) are critical for protecting public health by ensuring safe water is transported from centralized treatment facilities to consumers. Sediment accumulation in DWDS is a common challenge that water utilities face that may pose some health risks when waterborne pathogens colonize biofilms formed on the sediment surface. Water utilities often establish flushing routines to help mitigate sediment accumulation in their system but the role that sediment plays in contributing to the total microbial loading in the system is unclear. The main objective of this study was to determine if sediment in a DWDS presents a significant …


Modeling, Fabrication, And Characterization Of Rf-Based Passive Wireless Sensors Composed Of Refractory Semiconducting Ceramics For High Temperature Applications, Kavin Sivaneri Varadharajan Idhaiam Jan 2022

Modeling, Fabrication, And Characterization Of Rf-Based Passive Wireless Sensors Composed Of Refractory Semiconducting Ceramics For High Temperature Applications, Kavin Sivaneri Varadharajan Idhaiam

Graduate Theses, Dissertations, and Problem Reports (ETD)

Real-time health monitoring of high temperature systems (>500oC) in harsh environments is necessary to prevent catastrophic events caused by structural failures, varying pressure, and chemical reactions. Conventional solid-state temperature sensors such as resistance temperature detectors (RTDs) and thermocouples are restricted by their operating environments, sensor dimensions and often require external power sources for their operation. The current work presents the research and development of RF-based passive wireless sensing technology targeting high temperatures and harsh environmental conditions. Passive wireless devices are generally classified as near-field and far-field devices based on the interrogation distance. Near-field sensors are placed at …


Combinatorial Approaches For Effective Design, Synthesis, And Optimization Of Enzyme-Based Conjugates, Jordan Scott Chapman Jan 2022

Combinatorial Approaches For Effective Design, Synthesis, And Optimization Of Enzyme-Based Conjugates, Jordan Scott Chapman

Graduate Theses, Dissertations, and Problem Reports (ETD)

The specificity and efficiency with which enzymes catalyze selective chemical reactions far exceeds the performance of traditional heterogeneous catalysts that are predominant in industrial applications such as conversion of commodity chemicals to value-added products, fuel cells, and petroleum refinement. Moreover, biocatalysts exhibit exceptionally high product turnover at ambient conditions with little health and environmental burden. These advantageous qualities have led to the prolific use of enzyme catalysis in pharmaceutical, detergents, and food preservation industries wherein their use has greatly reduced waste generation, Unfortunately, the full slate of benefits that enzymes can impart to a broader range of chemical processes is …


Analysis Of Emissions Profiles Of Hydraulic Fracturing Engine Technologies, Nicholas Joseph Wells Jan 2022

Analysis Of Emissions Profiles Of Hydraulic Fracturing Engine Technologies, Nicholas Joseph Wells

Graduate Theses, Dissertations, and Problem Reports (ETD)

In the past twenty years natural gas production in the United States has significantly increased. This is largely due to technological advancements in unconventional methods of horizontal drilling and hydraulic fracturing. With these new and improved technologies, the United States has been able to increase its natural gas dry production per year by 14.5 trillion cubic feet per year from 2001-2021, a 74.1% increase. Horizontal drilling allows the wellbore to have more contact with the source rock, thus allowing more hydrocarbons to be extracted. Hydraulic fracturing allows oil and gas companies to have access to low permeable source rock, previously …


Post-Processing Precise Point Positioning Solutions With Parameter Optimization, Maria A. Gonzalez Castaneda Jan 2022

Post-Processing Precise Point Positioning Solutions With Parameter Optimization, Maria A. Gonzalez Castaneda

Graduate Theses, Dissertations, and Problem Reports (ETD)

Precise Point Positioning (PPP) technique can offer position solutions with centimeter-level accuracy by fusing precise satellite orbits and clocks with un-differenced, dual-frequency, pseudo-range, and carrier-phase observables. PPP presents a compelling alternative to Differential Global Positioning Systems, with the benefit that it only requires a single receiver and does not require simultaneous observations from many stations, making it appealing for ongoing research on hydro-graphic survey applications. The National Oceanic and Atmospheric Administration has been working on a buoy system tracked with a Global Positioning Systems receiver and Inertial Measurement Unit sensor using the PPP technique. In the interest of obtaining accurate …


A Workflow For Unconventional Reservoirs Optimization Using Supervised Machine Learning In Conjunction With Orthorhombic Elasticity Modeling, Aymen Ab Ali Alhemdi Jan 2022

A Workflow For Unconventional Reservoirs Optimization Using Supervised Machine Learning In Conjunction With Orthorhombic Elasticity Modeling, Aymen Ab Ali Alhemdi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Due to the anisotropy and heterogeneous nature of unconventional reservoirs like shale, a comprehensive parametric study to optimize hydraulic fracture treatment for such reservoirs is a tough challenge, especially when natural fractures are present. Most of the current frac simulators do not consider the anisotropy of rock elasticity in the shales. Besides, using the fracture simulation linked with reservoir simulation for the parametric study to understand the impact of multiple different design parameters on fracture propagation and production is time expensive and low efficient. The study proposes a workflow including a new orthorhombic (OB) rock algorithm to interpret geomechanical properties …


Face Recognition With Attention Mechanisms, Qiangchang Wang Jan 2022

Face Recognition With Attention Mechanisms, Qiangchang Wang

Graduate Theses, Dissertations, and Problem Reports (ETD)

Face recognition has been widely used in people’s daily lives due to its contactless process and high accuracy. Existing works can be divided into two categories: global and local approaches. The mainstream global approaches usually extract features on whole faces. However, global faces tend to suffer from dramatic appearance changes under the scenarios of large pose variations, heavy occlusions, and so on. On the other hand, since some local patches may remain similar, they can play an important role in such scenarios. Existing local approaches mainly rely on cropping local patches around facial landmarks and then extracting corresponding local representations. …


Gan-Based Super-Resolution And Segmentation Of Retinal Layers In Optical Coherence Tomography Scans, Paria Jeihouni Jan 2022

Gan-Based Super-Resolution And Segmentation Of Retinal Layers In Optical Coherence Tomography Scans, Paria Jeihouni

Graduate Theses, Dissertations, and Problem Reports (ETD)

Optical Coherence Tomography (OCT) has been identified as a noninvasive and cost-effective imaging modality for identifying potential biomarkers for Alzheimer's diagnosis and progress detection. Current hypotheses indicate that retinal layer thickness, which can be assessed via OCT scans, is an efficient biomarker for identifying Alzheimer's disease. Due to factors such as speckle noise, a small target region, and unfavorable imaging conditions manual segmentation of retina layers is a challenging task. Therefore, as a reasonable first step, this study focuses on automatically segmenting retinal layers to separate them for subsequent investigations. Another important challenge commonly faced is the lack of clarity …


Elucidating Biogeochemical Reactions Of Iron For Ammonium Removal And Nutrient Recovery From Wastewaters: Moving Toward Sustainable Wastewater Management, Rifat Anwar Jan 2022

Elucidating Biogeochemical Reactions Of Iron For Ammonium Removal And Nutrient Recovery From Wastewaters: Moving Toward Sustainable Wastewater Management, Rifat Anwar

Graduate Theses, Dissertations, and Problem Reports (ETD)

Development and applications of anaerobic treatment technologies has been discussed as an effective alternative to conventional aerobic processes for removal of nitrogen from wastewaters. With abundance of iron and its high reduction potential, employing ferric reduction-based reaction pathways in engineering processes could be an effective strategy to promote energy efficiency of wastewater treatment. In particular, ferric reduction coupled to ammonium oxidation (Feammox), a novel microbial metabolic function recently found to occur under anaerobic/anoxic condition through iron dosing, can be used for nitrogen pollutant removal. Iron dosing for wastewater treatment could also promote other microbial and chemical reactions that facilitate nutrient …


Top-Down & Bottom-Up Approaches To Robot Design, Dylan Michael Covell Jan 2022

Top-Down & Bottom-Up Approaches To Robot Design, Dylan Michael Covell

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis presents a study of different engineering design methodologies and demonstrates their effectiveness and limitations in actual robot designs. Some of these methods were blended together with focus on providing an easily interpreted project design flow while implementing more bottom-up, or feedback, elements into the design methodology. Typically design methods are learned through experience, and design taught in academia aims to shape and formalize previous experience. Usually, inexperienced engineers are taught approaches resembling the Verein Deutscher Ingenieure (VDI) 2221 process. This method presented by the Association of German Engineers in 2006 is regarded as the general system design process. …


Examining The Relationship Among Perceived Academic Climate, Belongingness, And Engineering Identity, Sumaia Ali Raisa Jan 2022

Examining The Relationship Among Perceived Academic Climate, Belongingness, And Engineering Identity, Sumaia Ali Raisa

Graduate Theses, Dissertations, and Problem Reports (ETD)

An attempt to cultivate an inclusive learning environment in engineering is trending as a response to women's underrepresentation and a lower retention rate than men undergraduates. This study was situated in such an undergraduate engineering program where interventions were embedded in the course curriculum focusing on cultivating an inclusive engineering identity. Following a sociocultural perspective, the present study aimed to examine the relation of engineering identity with perceived academic climate, sense of belonging, and gender among two engineering cohorts (before covid and during covid context). A total of 482 first-year engineering undergraduates' survey responses were analyzed in this study using …


Methodology For Enhanced Filtration And Dewatering Of Fine-Grain Amd Precipitate Using Geocomposites For Rare Earth Elements Recovery, Iuri Lira Santos Jan 2022

Methodology For Enhanced Filtration And Dewatering Of Fine-Grain Amd Precipitate Using Geocomposites For Rare Earth Elements Recovery, Iuri Lira Santos

Graduate Theses, Dissertations, and Problem Reports (ETD)

Research performed by the West Virginia Water Research Institute (WVWRI) in partnership with the Department of Energy (DOE) has identified that coal mining by-products contain significant amounts of Rare Earth Elements (REEs). REEs currently are in high demand, and extraction from coal mining reject presents a potential for commercialization if extraction is feasible. The coal mining reject include Acid Mine Drainage (AMD) in the aqueous phase and sludge from AMD treatment. A novel two split selective precipitation method was implemented to remove gangue metals, increasing the concentration of REEs in the sludge.

This process presents a two-fold benefit: 1) treatment …


Direct Ink Writing Printability – Ashby-Like Plots For Guided Design, Domenic Cipollone Jan 2022

Direct Ink Writing Printability – Ashby-Like Plots For Guided Design, Domenic Cipollone

Graduate Theses, Dissertations, and Problem Reports (ETD)

Direct Ink Writing (DIW), an extrusion-based 3D printing technique, offers a broad application space. As such, the technique continues to find use in biomedical, flexible electronic, ceramic, and energy device applications, among others. With this broad application space comes an expanding material library of inks with diverse rheological and microstructural properties. This begs the question: what constitutes a printable ink? How does one define printability? And how does one design for printability?

Researchers currently have a broad understanding of what constitutes a printable ink. However, time and time again, inks with unique rheological properties and formulations are printed. Currently, ink …


Development Of A Thermal Desalination System Using Low Quality Thermal Energy, Takudzwa C. Chipunza Jan 2022

Development Of A Thermal Desalination System Using Low Quality Thermal Energy, Takudzwa C. Chipunza

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

Development of a Thermal Desalination System Using Low Quality Thermal Energy

Takudzwa Chipunza

The blowdown water from the cooling tower of the power plant and the produced water from shale gas industry cannot be disposed directly to the environment as they may contain dissolved solids that are harmful to the environment. A detailed physical and chemical process to remove the mineral and organic solids has been developed in West Virginia University. Such a process includes running the blowdown and produced water through a softening tank, activated carbon tank, and a reverse osmosis (RO) system. The RO reject contains a …


Revision Total Hip Femoral Stem Micromotion And Statistical Shape Modeling Of The Knee, William Fugit Jan 2022

Revision Total Hip Femoral Stem Micromotion And Statistical Shape Modeling Of The Knee, William Fugit

Electronic Theses and Dissertations

The first purpose of this thesis was to compare the amount of micromotion seen in the femoral stem in a revision total hip arthroplasty between simple loading conditions and loading conditions derived from activities of daily living, through the use of experimental and computational methods. The amount of micromotion at the bone-implant interface was larger for activities of daily living, with ranges of 200μm more than the largest simple loading conditions. The second purpose of this thesis was to compare measurements of accuracy in a statistical shape model between individual bone and joint-level models, specifically for the knee. Using computational …