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A Low-Cost, Wireless, Multi-Channel Deep Brain Stimulation System For Rodents, F. N. U. Tala, Jordan Leiber, Hayden Fisher, Naga Spandana Muppaneni, Benjamin C. Johnson Jan 2021

A Low-Cost, Wireless, Multi-Channel Deep Brain Stimulation System For Rodents, F. N. U. Tala, Jordan Leiber, Hayden Fisher, Naga Spandana Muppaneni, Benjamin C. Johnson

Electrical and Computer Engineering Faculty Publications and Presentations

We present a small (43mm x 24mm x 15mm), off-the-shelf wireless neurostimulator for rodent deep brain stimulation research. Our device enables researchers to wirelessly configure stimulator settings, such as amplitude, pulse width, channel selection, and frequency, via a phone app. The system uses impedance-independent current-mode stimulation and steers current to a selected channel. In addition to monophasic and biphasic stimulation, the system also supports arbitrary waveform stimulation using pre-stored lookup tables. The system uses a configurable grounding phase to clear residual charge and a stimulation compliance monitor to ensure safe operation. The compliance monitor wirelessly reports the current during stimulation, …

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Mechanical Behavior Of Bioceramic Materials: Case Study Of The Skeleton Of The Staghorn Coral, Acropora Cervicornis And The Tibia Of The Laboratory Mouse, Mus Musculus, Mahmoud Omer Jan 2021

Mechanical Behavior Of Bioceramic Materials: Case Study Of The Skeleton Of The Staghorn Coral, Acropora Cervicornis And The Tibia Of The Laboratory Mouse, Mus Musculus, Mahmoud Omer

Electronic Theses and Dissertations, 2020-2023

I studied two types of bioceramics: (A) the aragonite CaCO3 skeleton of the staghorn coral, Acropora cervicornis and (B) the hydroxyapatite Ca10(PO4)6(OH)2 bones of the laboratory mouse, Mus musculus. The research aimed to analyze coral deformation behavior and study dietary and estrogen depletions effects on bone strength. I compared the mechanical and structural properties of staghorn coral skeletons cleaned by chemical bleaching and biological processes. Optical microscopy and computed tomography (CT) revealed a sophisticated microstructure of non-homogenously distributed pores. Staghorn coral skeletons showed ''gracious" fracture, where the unique pore arrangements resisted catastrophic crack growth and prevented instantanous failure. Elastic moduli …

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Processing Of 3d Porous Biomaterial Scaffolds To Enhance The In Vitro Breast Cancer Tumor Microenvironment, Zi Wang Jan 2021

Processing Of 3d Porous Biomaterial Scaffolds To Enhance The In Vitro Breast Cancer Tumor Microenvironment, Zi Wang

Electronic Theses and Dissertations, 2020-2023

Tumors contain heterogeneous cell populations within the tumor microenvironment (TME). TME supports tumor progression and development via the function of multiple cell types and cell-extracellular matrix (ECM) interactions. 3D porous biomaterial scaffolds can be a type of in vitro tumor models to mimic TME ECM. Current tumor models lack structural complexity replicating tumor ECM, tunable mechanical properties, and have limited mass exchange between cells and their microenvironment. In this work, we firstly developed scaffolds with a hierarchical pore structure via the Freeze-FRESH(FF) fabrication technique that combines 3D printing and freeze-casting. Later, we studied the effect of varying processing parameters and …

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Evaluating Source Water Quality, Pretreatment, And Particulate Mass Transport In A Nanofiltration Membrane Process, Courtney Powell Jan 2021

Evaluating Source Water Quality, Pretreatment, And Particulate Mass Transport In A Nanofiltration Membrane Process, Courtney Powell

Electronic Theses and Dissertations, 2020-2023

This document details the source and occurrence of particulates in a nanofiltration (NF) process, considers the implementation of additional pretreatment to improve feedwater quality, and investigates the impact of submicron particles on membrane performance. Much of this research was performed in cooperation with the City of Boynton Beach (City) at the West Water Treatment Plant (WTP) and stemmed from particulate fouling concerns in the pretreatment and NF membrane processes. The water quality of the individual wells that supply the West WTP was evaluated to identify the source of particulates which overload the pre-filters (5-μm cartridge filters) and may contribute to …

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The Effect Of Polyelectrolyte Modification Of Ultrafiltration Membranes On Fouling Resistance And Rejection Of Contaminants Of Emerging Concern, Kunal Olimattel Jan 2021

The Effect Of Polyelectrolyte Modification Of Ultrafiltration Membranes On Fouling Resistance And Rejection Of Contaminants Of Emerging Concern, Kunal Olimattel

Electronic Theses and Dissertations, 2020-2023

This research attempted to leverage the unique properties of poly (allylamine hydrochloride) (PAH)/poly (acrylic acid) (PAA) bilayer coatings to enhance antifouling and antimicrobial properties of a commercially available ultrafiltration (UF) membrane as well as the removal of PFOA and PFOS—the two CECs that most frequently represent the class of PFAS. The effects of selected water matrix components (humic acids [HA] and cations) on PFOA and PFOS removals were also investigated when using the functionalized membrane. PAH/PAA films were first deposited on the membrane using a fluidic layer by layer (LbL) technique and then crosslinked, followed by embedding of the silver …

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Remediation Of Roadway Runoff Nutrients: Querying Sources Delivery Mechanism, Efficacy Of Stormwater Best Management Practices, And Stormwater Routing Through Karst Geology, Mohammad Shokri Jan 2021

Remediation Of Roadway Runoff Nutrients: Querying Sources Delivery Mechanism, Efficacy Of Stormwater Best Management Practices, And Stormwater Routing Through Karst Geology, Mohammad Shokri

Electronic Theses and Dissertations, 2020-2023

Stormwater road runoff is a widespread non-point source of contaminants such as nutrients, which endangers water bodies, especially in vulnerable karst areas such as Florida. While roadside vegetated filter strips (VFSs) and stormwater basins are generally accepted best management practices (BMPs) for stormwater management, uncertainties about VFS nutrient removal are reported and stormwater basins are concerned of facilitating contaminant transport. In this dissertation, the application and efficacy of engineered infiltration media was tested as a subgrade for the enhanced nutrient removal from roadway runoff. Results of field-scale laboratory testing indicated that a VFS with engineered biosorption activated media (BAM) outperformed …

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Integrated Optimization And Learning Methods Of Predictive And Prescriptive Analytics, Mehmet Kolcu Jan 2021

Integrated Optimization And Learning Methods Of Predictive And Prescriptive Analytics, Mehmet Kolcu

Wayne State University Dissertations

A typical decision problem optimizes one or more objectives subject to a set of constraints on its decision variables. Most real-world decision problems contain uncertain parameters. The exponential growth of data availability, ease of accessibility in computational power, and more efficient optimization techniques have paved the way for machine learning tools to effectively predict these uncertain parameters. Traditional machine learning models measure the quality of predictions based on the closeness between true and predicted values and ignore decision problems involving uncertain parameters for which predicted values are treated as the true values.Standard approaches passing point estimates of machine learning models …

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Quantifying Shape Of Star-Like Objects Using Shape Curves And A New Compactness Measure, Gopal K. Mulukutla, Emese Hadnagy, Matthew Fearon, Edward Garboczi Jan 2021

Quantifying Shape Of Star-Like Objects Using Shape Curves And A New Compactness Measure, Gopal K. Mulukutla, Emese Hadnagy, Matthew Fearon, Edward Garboczi

All Materials

Shape is an important indicator of the physical and chemical behavior of natural and engineered particulate materials (e.g., sediment, sand, rock, volcanic ash). It directly or indirectly affects numerous microscopic and macroscopic geologic, environmental and engineering processes. Due to the complex, highly irregular shapes found in particulate materials, there is a perennial need for quantitative shape descriptions. We developed a new characterization method (shape curve analysis) and a new quantitative measure (compactness, not the topological mathematical definition) by applying a fundamental principle that the geometric anisotropy of an object is a unique signature of its internal spatial distribution …

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Pathways To Coastal Resiliency: The Adaptive Gradients Framework, Elisabeth M. Hamin, Pamela K. Judge Jan 2021

Pathways To Coastal Resiliency: The Adaptive Gradients Framework, Elisabeth M. Hamin, Pamela K. Judge

Engineering, Computing & Construction Management Faculty Publications

Current and future climate-related coastal impacts such as catastrophic and repetitive flooding, hurricane intensity, and sea level rise necessitate a new approach to developing and managing coastal infrastructure. Traditional “hard” or “grey” engineering solutions are proving both expensive and inflexible in the face of a rapidly changing coastal environment. Hybrid solutions that incorporate natural, nature-based, structural, and non-structural features may better achieve a broad set of goals such as ecological enhancement, long-term adaptation, and social benefits, but broad consideration and uptake of these approaches has been slow. One barrier to the widespread implementation of hybrid solutions is the lack of …

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Design, Fabrication, And Testing Of A High-Speed, Low-Cost Atomic Force Microscope Housing And Distance Measurement System, Jonathan Menke Jan 2021

Design, Fabrication, And Testing Of A High-Speed, Low-Cost Atomic Force Microscope Housing And Distance Measurement System, Jonathan Menke

All Undergraduate Theses and Capstone Projects

Advances to the state-of-the-art in fields like biology and material science often stand on the foundation of improved imaging. Here a low-cost Atomic Force Microscope (AFM) housing and distance measurement system was designed, fabricated, and tested. The instrument was developed around an Optical Pickup Unit (OPU) and designed for use as part of a high-speed AFM system. A structure to align the OPU with the probe holder was designed to ensure the beam of the OPU is positioned above the probe in addition to accommodating space, manufacturability, and cost constraints by using cost effective components. The designs were fabricated and …

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Catalytic Carbon Dioxide Hydrogenation To Methanol/Dimethyl Ether Over Copper-Based Catalysts, Xiao Fan Jan 2021

Catalytic Carbon Dioxide Hydrogenation To Methanol/Dimethyl Ether Over Copper-Based Catalysts, Xiao Fan

Doctoral Dissertations

Direct synthesis of dimethyl ether (DME) via CO2 hydrogenation has received great attention, owing to the global warming caused by CO2 emission and increasing energy demand worldwide. In this works, three major aspects of bifunctional catalysts development were studied: (1) investigation of the roles of interaction in the CuO-ZnO-ZrO2-Al2O3/HZSM-5 bifunctional catalysts, (2) deactivation and regeneration of CuO-ZnO-ZrO2-Al2O3 with different zeolitic catalysts for one-step CO2 hydrogenation to dimethyl ether, and (3) study on the enhancement of activity and stability of CZZA/HZSM-5 bifunctional catalysts via the introduction of …

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Quantification Of Nitric Oxide Concentration Using Single-Walled Carbon Nanotube Sensors, Jakob Meier, Joseph Stapleton, Eric M. Hofferber, Abigail Haworth, Stephen D. Kachman, Nicole M. Iverson Jan 2021

Quantification Of Nitric Oxide Concentration Using Single-Walled Carbon Nanotube Sensors, Jakob Meier, Joseph Stapleton, Eric M. Hofferber, Abigail Haworth, Stephen D. Kachman, Nicole M. Iverson

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Nitric oxide (NO), a free radical present in biological systems, can have many detrimental effects on the body, from inflammation to cancer. Due to NO’s short half-life, detection and quan- tification is difficult. The inability to quantify NO has hindered researchers’ understanding of its impact in healthy and diseased conditions. Single-walled carbon nanotubes (SWNTs), when wrapped in a specific single-stranded DNA chain, becomes selective to NO, creating a fluorescence sensor. Unfortunately, the correlation between NO concentration and the SWNT’s fluorescence intensity has been difficult to determine due to an inability to immobilize the sensor without altering its properties. Through the …

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Modeling And Prioritizing Interventions Using Pollution Hotspots For Reducing Nutrients, Atrazine And E. Coli Concentrations In A Watershed, Olufemi P. Abimbola, Aaron R. Mittelstet, Tiffany Messer, Elaine Berry, Anna Van Griensven Jan 2021

Modeling And Prioritizing Interventions Using Pollution Hotspots For Reducing Nutrients, Atrazine And E. Coli Concentrations In A Watershed, Olufemi P. Abimbola, Aaron R. Mittelstet, Tiffany Messer, Elaine Berry, Anna Van Griensven

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Excess nutrients and herbicides remain two major causes of waterbody impairment globally. In an attempt to better understand pollutant sources in the Big Sandy Creek Watershed (BSCW) and the prospects for successful remediation, a program was initiated to assist agricultural producers with the implementation of best management practices (BMPs). The objectives were to (1) simulate BMPs within hotspots to determine reductions in pollutant loads and (2) to determine if water-quality standards are met at the watershed outlet. Regression-based load estimator (LOADEST) was used for determining sediment, nutrient and atrazine loads, while artificial neural networks (ANN) were used for determining E. …

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Antibiotic Resistance Genes In Swine Manure Slurry As Affected By Pit Additives And Facility Disinfectants, Maria C. Hall, Jon Duerschner, John E. Gilley, Amy Schmidt, Shannon Bartelt-Hunt, Daniel D. Snow, Kent M. Eskridge, Xu Li Jan 2021

Antibiotic Resistance Genes In Swine Manure Slurry As Affected By Pit Additives And Facility Disinfectants, Maria C. Hall, Jon Duerschner, John E. Gilley, Amy Schmidt, Shannon Bartelt-Hunt, Daniel D. Snow, Kent M. Eskridge, Xu Li

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Manure storage facilities are critical control points to reduce antibiotic resistance genes (ARGs) in swine manure slurry before the slurry is land applied. However, little is known about how exogenous chemicals entering the manure storage facilities may affect the fate of ARGs. The objective of this study was to analyze the impact of six commonly used pit additives and four facility disinfectants on the concentration of ARGs in swine manure slurry. Bench scale reactors, each containing approximately 50 L of liquid swine manure, were dosed with additives or disinfectants and were sampled for 40 days. Seven antibiotic resistance genes along …

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Differential Survival Of Non-O157 Shiga Toxigenic Escherichia Coli In Simulated Cattle Feedlot Runoff, Lisa M. Durso, John E. Gilley, Daniel N. Miller Jan 2021

Differential Survival Of Non-O157 Shiga Toxigenic Escherichia Coli In Simulated Cattle Feedlot Runoff, Lisa M. Durso, John E. Gilley, Daniel N. Miller

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Environmental survival time is important when evaluating adverse health outcomes from foodborne pathogens. Although outbreaks associated with manure-impacted irrigation or runoff water are relatively infrequent, their broad scope, regulatory importance, and severe health outcomes highlight the need to better understand the environmental survival of manure-borne pathogens. Shiga toxigenic Escherichia coli (STEC) are excreted in feces and persist in the environment until they die or recolonize a new host. Surface waters contaminated with manure-borne STEC can infect humans through drinking and recreational water use or irrigated crops that are minimally cooked. In this study, manure-impacted water microcosms mimicking beef cattle feedlot …

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Editorial: Predictive Modeling Of Human Microbiota And Their Role In Health And Disease, Hyun-Seob Song, Stephen R. Lindemann, Dong-Yup Lee Jan 2021

Editorial: Predictive Modeling Of Human Microbiota And Their Role In Health And Disease, Hyun-Seob Song, Stephen R. Lindemann, Dong-Yup Lee

Department of Agricultural and Biological Systems Engineering: Faculty Publications

No abstract provided.

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The Nanotheranostic Researcher’S Guide For Use Of Animal Models Of Traumatic Brain Injury, Brandon Z. Mcdonald, Connor C. Gee, Forrest M. Kievit Jan 2021

The Nanotheranostic Researcher’S Guide For Use Of Animal Models Of Traumatic Brain Injury, Brandon Z. Mcdonald, Connor C. Gee, Forrest M. Kievit

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Traumatic brain injury (TBI) is currently the leading cause of injury-related morbidity and mortality worldwide, with an estimated global cost of USD 400 billion annually. Both clinical and preclinical behavioral outcomes associated with TBI are heterogeneous in nature and influenced by the mechanism and frequency of injury. Previous literature has investigated this relationship through the development of animal models and behavioral tasks. However, recent advancements in these methods may provide insight into the translation of therapeutics into a clinical setting. In this review, we characterize various animal models and behavioral tasks to provide guidelines for evaluating the therapeutic efficacy of …

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Frontier: Discipline-Based Education Research To Advance Authentic Learning In Agricultural And Biological Engineering, Heidi A. Diefes-Dux Jan 2021

Frontier: Discipline-Based Education Research To Advance Authentic Learning In Agricultural And Biological Engineering, Heidi A. Diefes-Dux

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Discipline-based education research (DBER) is research activity aimed at investigating “learning and teaching in a discipline from a perspective that reflects the discipline’s priorities, worldview, knowledge, and practices” for the purpose of producing research-based evidence to improve education in that discipline. DBER arose out of concerns about the quality of post-secondary science education. Physics, chemistry, engineering, biology, geosciences, and astronomy education each have unique DBER histories in the U.S. that date back to the late 1800s or early 1900s when colleges and university systems were expanding and formalizing. The DBER fields accelerated in the 1950s and 1960s as a result …

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Lipid Droplet Membrane Proteome Remodeling Parallels Ethanol-Induced Hepatic Steatosis And Its Resolution, Carol A. Casey, Terrence M. Donohue Jr., Jacy L. Kubik, Vikas Kumar, Michael J. Naldrett, Nicholas T. Woods, Cole P. Frisbie, Mark A. Mcniven, Paul G. Thomes Jan 2021

Lipid Droplet Membrane Proteome Remodeling Parallels Ethanol-Induced Hepatic Steatosis And Its Resolution, Carol A. Casey, Terrence M. Donohue Jr., Jacy L. Kubik, Vikas Kumar, Michael J. Naldrett, Nicholas T. Woods, Cole P. Frisbie, Mark A. Mcniven, Paul G. Thomes

Nebraska Center for Biotechnology: Faculty and Staff Publications

Abstract Lipid droplets (LDs) are composed of neutral lipids enclosed in a phospholipid monolayer, which harbors membrane-associated proteins that regulate LD functions. Despite the crucial role of LDs in lipid metabolism, remodeling of LD protein composition in disease contexts, such as steatosis, remains poorly understood. We hypothesized that chronic ethanol consumption, subsequent abstinence from ethanol, or fasting differentially affects the LD membrane proteome content and that these changes influence how LDs interact with other intracellular organelles. Here, male Wistar rats were pair-fed liquid control or ethanol diets for 6 weeks, and then, randomly chosen animals from both groups were either …

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Mechanics Of Low Dimensional Biomimetic Scale Metamaterials, Hossein Ebrahimi Jan 2021

Mechanics Of Low Dimensional Biomimetic Scale Metamaterials, Hossein Ebrahimi

Electronic Theses and Dissertations, 2020-2023

Combination of topology and material could play an important role in giving rise to nontraditional behavior in mechanical structures and is a typical strategy in nature. Topology is concerned with the geometrical and spatial properties of the objects, which are preserved under continues mechanical deformation of the object such as stretching, bending, twisting, etc. In this work, we focus on structures based on fish scale inspired surface topology. The utilized idea for surface topology is a bioinspired design on the substrate of biological scale-covered systems. Scales are a path breaking evolutionary adaptation that accompanied vertebrate evolution for the past 500 …

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Influence Of Ecm Composition And Intracellular Calcium On Endothelial Biomechanics And Prediction Of Cellular Stresses Using Machine Learning, Vignesh Aravind Subramanian Balachandar Jan 2021

Influence Of Ecm Composition And Intracellular Calcium On Endothelial Biomechanics And Prediction Of Cellular Stresses Using Machine Learning, Vignesh Aravind Subramanian Balachandar

Electronic Theses and Dissertations, 2020-2023

Endothelial cells, which form the inner layer of the vasculature, constantly interact with their external microenvironment called the extracellular matrix (ECM) by exerting contractile cell-substrate stresses called tractions and cell-cell stresses called intercellular stresses. This cellular mechanosensing can become aberrant and act as a precursor for many vascular pathological and physiological processes such as cancer metastasis, atherosclerosis, cell differentiation, migration, and morphogenesis. Also, intracellular calcium signalling plays an important role in endothelial cell motility and in maintaining vascular tone. Alteration in ECM composition has been linked to several pathologies, in fact, a transition to a fibronectin-rich matrix from a type …

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Diffusion Biomarkers To Characterize Tissue Microstructure In Chronic Myocardial Infarction, Mohammad Tanjib Rahman Jan 2021

Diffusion Biomarkers To Characterize Tissue Microstructure In Chronic Myocardial Infarction, Mohammad Tanjib Rahman

Electronic Theses and Dissertations, 2020-2023

Non-invasive imaging techniques to detect and characterize infarcted myocardium are critical for myocardial infarction (MI) prognosis and post-MI risk assessment. Many existing imaging techniques (such as T1-mapping) for MI detection require the use of contrast agents, which are not recommended for patients with renal failure. Cardiac diffusion tensor magnetic resonance imaging (cDTI), a non-contrast imaging technique, allows estimating the aggregate cardiomyocyte microstructure in healthy subjects and its remodeling as a result of cardiac diseases. Two main questions are investigated in this thesis: 1) how cDTI based biomarkers can characterize microstructural changes occurring post-MI; and 2) if cDTI based biomarkers can …

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Identification Of Disease-Linked Hyperactivating Mutations In Ube3a Through Large-Scale Functional Variant Analysis, Joshua P. Steimel, Kellan Weston, Xiaoyi Gao, Jinghan Zhao, Susan Maloney, Jill Gotoff, Sumit Parikh, Marwan Shinawi, Joseph Harrison Jan 2021

Identification Of Disease-Linked Hyperactivating Mutations In Ube3a Through Large-Scale Functional Variant Analysis, Joshua P. Steimel, Kellan Weston, Xiaoyi Gao, Jinghan Zhao, Susan Maloney, Jill Gotoff, Sumit Parikh, Marwan Shinawi, Joseph Harrison

All Faculty Articles - School of Engineering and Computer Science

The mechanisms that underlie the extensive phenotypic diversity in genetic disorders are poorly understood. Here, we develop a large-scale assay to characterize the functional valence (gain or loss-of-function) of missense variants identified in UBE3A, the gene whose loss-of-function causes the neurodevelopmental disorder Angelman syndrome. We identify numerous gain-of-function variants including a hyperactivating Q588E mutation that strikingly increases UBE3A activity above wild-type UBE3A levels. Mice carrying the Q588E mutation exhibit aberrant early-life motor and communication deficits, and individuals possessing hyperactivating UBE3A variants exhibit affected phenotypes that are distinguishable from Angelman syndrome. Additional structure-function analysis reveals that Q588 forms a regulatory site …

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Mechanically Transduced Immunosorbent Assay To Measure Protein-Protein Interactions, Joshua P. Steimel, Joseph Harrison, Brian Strahl, Diego Sandoval, Michael Pappas, Kathyrn Randene, Christopher Petell Jan 2021

Mechanically Transduced Immunosorbent Assay To Measure Protein-Protein Interactions, Joshua P. Steimel, Joseph Harrison, Brian Strahl, Diego Sandoval, Michael Pappas, Kathyrn Randene, Christopher Petell

All Faculty Articles - School of Engineering and Computer Science

Measuring protein-protein interaction (PPI) affinities is fundamental to biochemistry. Yet, conventional methods rely upon the law of mass action and cannot measure many PPIs due to a scarcity of reagents and limitations in the measurable affinity ranges. Here, we present a novel technique that leverages the fundamental concept of friction to produce a mechanical signal that correlates to binding potential. The mechanically transduced immunosorbent (METRIS) assay utilizes rolling magnetic probes to measure PPI interaction affinities. METRIS measures the translational displacement of protein-coated particles on a protein-functionalized substrate. The translational displacement scales with the effective friction induced by a PPI, thus …

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An Improved Version Of Multi-View K-Nearest Neighbors (Mvknn) For Multipleview Learning, Eli̇fe Öztürk Kiyak, Derya Bi̇rant, Kökten Ulaş Bi̇rant Jan 2021

An Improved Version Of Multi-View K-Nearest Neighbors (Mvknn) For Multipleview Learning, Eli̇fe Öztürk Kiyak, Derya Bi̇rant, Kökten Ulaş Bi̇rant

Turkish Journal of Electrical Engineering and Computer Sciences

Multi-view learning (MVL) is a special type of machine learning that utilizes more than one views, where views include various descriptions of a given sample. Traditionally, classification algorithms such as k-nearest neighbors (KNN) are designed for learning from single-view data. However, many real-world applications involve datasets with multiple views and each view may contain different and partly independent information, which makes the traditional single-view classification approaches ineffective. Therefore, this article proposes an improved MVL algorithm, called multi-view k-nearest neighbors (MVKNN), based on the existing KNN algorithm. The experimental results conducted in this research show that a significant improvement is achieved …

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Scalable Approaches For Auditing The Completeness Of Biomedical Ontologies, Fengbo Zheng Jan 2021

Scalable Approaches For Auditing The Completeness Of Biomedical Ontologies, Fengbo Zheng

Theses and Dissertations--Computer Science

An ontology provides a formalized representation of knowledge within a domain. In biomedicine, ontologies have been widely used in modern biomedical applications to enable semantic interoperability and facilitate data exchange. Given the important roles that biomedical ontologies play, quality issues such as incompleteness, if not addressed, can affect the quality of downstream ontology-driven applications. However, biomedical ontologies often have large sizes and complex structures. Thus, it is infeasible to uncover potential quality issues through manual effort. In this dissertation, we introduce automated and scalable approaches for auditing the completeness of biomedical ontologies. We mainly focus on two incompleteness issues -- …

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Evaluation Of Liquid Ice Melting Additives For Winter Maintenance Applications, Erin Lammers-Staats Jan 2021

Evaluation Of Liquid Ice Melting Additives For Winter Maintenance Applications, Erin Lammers-Staats

Theses and Dissertations--Civil Engineering

Winter weather can often pose difficulties for transportation agencies as they work to clear roads of snow and ice quickly so that motorists can travel safely and efficiently. Kentucky has made efforts to maximize efficiency within its winter maintenance program by focusing on optimized equipment usage and personnel time management. This study’s objective was to evaluate novel anti-icers and calculate how their performance compared to the current performance of brine and calcium chloride mixture. New brine additives claim to offer better results, but there is very little guidance about how to systematically evaluate new anti-icers. The author developed a testing …

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Characterization Of Modulation And Coherence In Sensorimotor Rhythms Using Different Electroencephalographic Signal Derivations, Stephen Dundon Jan 2021

Characterization Of Modulation And Coherence In Sensorimotor Rhythms Using Different Electroencephalographic Signal Derivations, Stephen Dundon

Theses and Dissertations--Biomedical Engineering

Electroencephalography (EEG) is a widely used technique for monitoring and analyzing brain activity in experimental, diagnostic, and therapeutic applications. Since EEG is sensitive to noise and artefact sources, referential signals at different locations can be combined in different ways to improve signal quality and better localize cortical activity. Four signal derivations were compared against referential EEG in terms of their ability to measure the alpha rhythm modulation (or reactivity) and spatial coherence associated with an eye closure task: a common average reference (CAR), a local average reference (LAR), a large Laplacian (LL), and a focal Laplacian (FL) estimated using a …

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Laser Powder Bed Fusion Of Ti6al4v-Xcu: Process Parameters, Thywill Ccphas Dzogbewu Jan 2021

Laser Powder Bed Fusion Of Ti6al4v-Xcu: Process Parameters, Thywill Ccphas Dzogbewu

Journal of Metals, Materials and Minerals

The original intent of coating biomedical and surgical devices surface with antibacterial agents is to prevent infections. However, the difference in the material properties between the biomedical devices and the coating materials causes the coating material to spall from the biomedical devices. To address the situation, the current research focused on investigating the possibility of using laser powder bed fusion process a subset of additive manufacturing technology to in situ alloy 1 at% Cu with Ti6Al4V. In situ alloying 1 at% Cu with Ti6Al4V would lead to the production of medical and surgical devices with inbuilt antibacterial property. To determine …

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A Blockchain-Enabled Model To Enhance Disaster Aids Network Resilience, Farinaz Sabz Ali Pour, Paul Niculescu-Mizil Gheorghe Jan 2021

A Blockchain-Enabled Model To Enhance Disaster Aids Network Resilience, Farinaz Sabz Ali Pour, Paul Niculescu-Mizil Gheorghe

Engineering Management & Systems Engineering Faculty Publications

The disaster area is a true dynamic environment. Lack of accurate information from the affected area create several challenges in distributing the supplies. The success of a disaster response network is based on collaboration, coordination, sovereignty, and equality in relief distribution. Therefore, a trust-based dynamic communication system is required to facilitate the interactions, enhance the knowledge for the relief operation, prioritize, and coordinate the goods distribution. One of the promising innovative technologies is blockchain technology which enables transparent, secure, and real-time information exchange and automation through smart contracts in a distributed technological ecosystem. This study aims to analyze the application …

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