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Pain Intensity Assessment In Sickle Cell Disease Patients Using Vital Signs During Hospital Visits, Swati Padhee, Amanuel Alambo, Tanvi Banerjee, Arvind Subramaniam, Daniel M. Abrams, Gary K. Nave, Nirmish Shah Jan 2021

Pain Intensity Assessment In Sickle Cell Disease Patients Using Vital Signs During Hospital Visits, Swati Padhee, Amanuel Alambo, Tanvi Banerjee, Arvind Subramaniam, Daniel M. Abrams, Gary K. Nave, Nirmish Shah

Computer Science and Engineering Faculty Publications

Pain in sickle cell disease (SCD) is often associated with increased morbidity, mortality, and high healthcare costs. The standard method for predicting the absence, presence, and intensity of pain has long been self-report. However, medical providers struggle to manage patients based on subjective pain reports correctly and pain medications often lead to further difficulties in patient communication as they may cause sedation and sleepiness. Recent studies have shown that objective physiological measures can predict subjective self-reported pain scores for inpatient visits using machine learning (ML) techniques. In this study, we evaluate the generalizability of ML techniques to data collected from …

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Ink Browser-The Interactive Knowledge Browser, Joseph Zalewski, Lu Zhou, Cogan Shimizu, Pascal Hitzler Jan 2021

Ink Browser-The Interactive Knowledge Browser, Joseph Zalewski, Lu Zhou, Cogan Shimizu, Pascal Hitzler

Computer Science and Engineering Faculty Publications

We present an improved implementation of the Interactive Knowledge Browser (InK Browser), a tool for exploring knowledge graphs visually, using a schema diagram.

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Aligning Patterns To The Wikibase Model, Andrew Eells, Cogan Shimizu, Lu Zhou, Pascal Hitzler, Seila Gonzalez, Dean Rehberger Jan 2021

Aligning Patterns To The Wikibase Model, Andrew Eells, Cogan Shimizu, Lu Zhou, Pascal Hitzler, Seila Gonzalez, Dean Rehberger

Computer Science and Engineering Faculty Publications

When developing a knowledge graph, it is important to promote its (re)usability, accessibility, and persistence. One way of accomplishing (re)usability is through the principled use (i.e., using a structured development methodology) of a schema that describes and documents the relations between concepts in the knowledge graph. With respect to accessibility and persistence, one can consider exposing a SPARQL endpoint and allowing interested parties to query against it. While this is a very exible approach, it makes it difficult to explore the data. On the other hand, one could consider exposing data through a framework such as Wikibase. In this paper, …

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National Survey Of Student Engagement 2021 High-Impact Practices (Main Campus), National Survey Of Student Engagement Jan 2021

National Survey Of Student Engagement 2021 High-Impact Practices (Main Campus), National Survey Of Student Engagement

National Survey of Student Engagement (NSSE) Reports

High-Impact Practices report provides a summary of the information contained in survey of first year and senior students on undergraduate opportunities that are designated as high-impact. Students are surveyed on participation in service-learning, learning community, research with faculty, internship or field experience, study abroad, and culminating senior experience.

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National Survey Of Student Engagement 2021 High-Impact Practices (Lake Campus), National Survey Of Student Engagement Jan 2021

National Survey Of Student Engagement 2021 High-Impact Practices (Lake Campus), National Survey Of Student Engagement

National Survey of Student Engagement (NSSE) Reports

High-Impact Practices report provides a summary of the information contained in survey of first year and senior students on undergraduate opportunities that are designated as high-impact. Students are surveyed on participation in service-learning, learning community, research with faculty, internship or field experience, study abroad, and culminating senior experience.

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National Survey Of Student Engagement 2021 Respondent Profile (Lake Campus), National Survey Of Student Engagement Jan 2021

National Survey Of Student Engagement 2021 Respondent Profile (Lake Campus), National Survey Of Student Engagement

National Survey of Student Engagement (NSSE) Reports

The Respondent Profile presents both student- and institution-reported demographic information, allowing you to examine similarities and differences between your students and those at your comparison group institutions. This report uses information from all randomly selected or census-administered students. The display below highlights important details in the report to keep in mind when interpreting your results.

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Meritocracy-Based Stickiness Measure Of Social Mobility, Curtis G. Tenney Jan 2021

Meritocracy-Based Stickiness Measure Of Social Mobility, Curtis G. Tenney

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I measure the stickiness of social mobility in terms of meritocratic assumptions through the first-known Meritocracy-Based Stickiness Measure of Mobility (MBSMoM) using mobility transition matrices and assumptions based on Full Meritocracy (FM) and Lack of Meritocracy (LM). I develop the Simple Stickiness Measure of Mobility (SSMoM) and the Weighted Stickiness Measure of Mobility (WSMoM). In addition, I create the MBSMoM which is calculated from mobility transition matrices of intragenerational, intergenerational, and multigenerational correlations using various measures of status including education, occupation, class, consumption, income, and wealth. Utilizing mobility transition matrices employed by plethora of studies, MBSMoMs are calculated as a …

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Als-Induced Excitability Changes In Individual Motorneurons And The Spinal Motorneuron Network In Sod1-G93a Mice At Symptom Onset, Christiana S.I. Draper Jan 2021

Als-Induced Excitability Changes In Individual Motorneurons And The Spinal Motorneuron Network In Sod1-G93a Mice At Symptom Onset, Christiana S.I. Draper

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Amyotrophic lateral sclerosis (ALS) is the most common motorneuron (MN) disease in adulthood. ALS is hallmarked by the progressive loss of MNs in the brain, brainstem, and spinal cord. Many hypotheses to explain the pathogenesis of ALS have been explored, but the exact mechanisms underlying the development of this disease remain unknown. However, abnormalities in MN excitability and glutamate excitotoxicity are the most widely studied. For decades, researchers have examined MN excitability in ALS, but the current literature is inconsistent, showing evidence of hyperexcitability, hypoexcitability, or no change in excitability of MNs in ALS. Many of these studies also focus …

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National Survey Of Student Engagement 2021 Respondent Profile (Main Campus), National Survey Of Student Engagement Jan 2021

National Survey Of Student Engagement 2021 Respondent Profile (Main Campus), National Survey Of Student Engagement

National Survey of Student Engagement (NSSE) Reports

The Respondent Profile presents both student- and institution-reported demographic information, allowing you to examine similarities and differences between your students and those at your comparison group institutions. This report uses information from all randomly selected or census-administered students. The display below highlights important details in the report to keep in mind when interpreting your results.

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The Theory And Design Of Class E Power Amplifiers For Impulse Excitation In Nuclear Magnetic Resonance, Owen D. Riemer Jan 2021

The Theory And Design Of Class E Power Amplifiers For Impulse Excitation In Nuclear Magnetic Resonance, Owen D. Riemer

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A new method for analyzing the effectiveness of NMR impulse power amplifiers was developed using a classical linear systems approach to NMR. The method demonstrates a way to compare NMR power amplifiers and outputs. Thermodynamic calculations and the harmonic content of NMR amplifiers is presented to provide a complete description of the NMR power amplifier design problem. A design procedure for class E NMR power amplifiers with a pi-impedance matching network is outlined for matching the amplifier to the transmitter coil. The thesis concludes with the presentation of a 53 MHz power amplifier developed with the procedure. The complete amplifier …

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Multi-Label Classification On Locally-Linear Data: Application To Chemical Toxicity Prediction, Xiu Huan Yap Jan 2021

Multi-Label Classification On Locally-Linear Data: Application To Chemical Toxicity Prediction, Xiu Huan Yap

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Computational models may assist in identification and prioritization of large chemical libraries. Recent experimental and data curation efforts, such as from the Tox21 consortium, have contributed towards toxicological datasets of increasing numbers of chemicals and toxicity endpoints, creating a golden opportunity for the exploration of multi-label learning and deep learning approaches in this thesis. Multi-label classification (MLC) methods may improve model predictivity by accounting for label dependence. However, current measures of label dependence, such as correlation coefficient, are inappropriate for datasets with extreme class imbalance, often seen in toxicological datasets. In this thesis, we propose a novel label dependence measure …

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Edge Processing Of Image For Uas Sense And Avoidance, Christopher J. Rave Jan 2021

Edge Processing Of Image For Uas Sense And Avoidance, Christopher J. Rave

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Today there is a large market for Unmanned Aerial Systems. Although most current systems are remotely piloted by operators on the ground, increasingly, many of these systems will use some sort of automatic flight controller to help mitigate new challenges, due to their deployment at growing scale. These challenges include, but are not limited to, shortage of FAA-certified UAS pilots, transmission bandwidth and delay constraints and cyber security threats associated with wireless networking, profitability of operations constrained by energy capacity and efficiency and air dynamics planning, and etc. In order to address these rising challenges, this thesis is a part …

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Cytoviva Hyperspectral Imaging For Comparing The Uptake And Transformation Of Agnps And Ag+ In Mitochondria, Kristina Steingass Jan 2021

Cytoviva Hyperspectral Imaging For Comparing The Uptake And Transformation Of Agnps And Ag+ In Mitochondria, Kristina Steingass

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Nanomaterials have attracted significant attention in the last decade, with applications in everyday products. Amongst all known nanomaterials in use, silver is the leading metal, present in 531 different types of products, owing to their unique optical, electrical, antimicrobial, and thermal properties. Though silver nanoparticles (AgNPs) come in contact regularly with the general population, there is little known about their toxicity mechanism due to limited techniques for thorough analysis. CytoViva Hyperspectral Imaging (HSI) shows potential for filling these gaps. In this study, borohydride-capped AgNPs with an approximate diameter of 10 nm were synthesized using the modified Creighton method and characterized …

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Developing A Nomological Network To Incorporate Learned Helplessness Into Industrial-Organizational Psychology, Nicholas Kovacs Jan 2021

Developing A Nomological Network To Incorporate Learned Helplessness Into Industrial-Organizational Psychology, Nicholas Kovacs

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Employees are facing personal traumas, higher stress, and work pressures that are likely to result in both short- and long-term impacts. To mitigate these negative impacts, organizations should focus on applying research related to employees’ responses to trauma and stress. Learned helplessness, which is well-established within clinical psychology and less established within the industrial-organizational literature, occurs as a direct response to perceived control over trauma and could thus relate to the ability to overcome trauma. In relation to control-related constructs, industrial-organizational researchers have focused on resilience, hardiness, and work locus of control (LOC). However, each of these constructs account for …

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Arise - Augmented Reality In Surgery And Education, Sadan Suneesh Menon Jan 2021

Arise - Augmented Reality In Surgery And Education, Sadan Suneesh Menon

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Human errors in healthcare can be fatal. Proper physical assessment of patients to avoid such errors is of paramount importance. Incorrect or insufficient assessment of the patient can cause treatment delays that may lead to negative outcomes. In this dissertation we introduce innovative technology to assist surgeons in patient assessment as well as during the training of nurses in order to enhance learning. Technological advancements have made it possible to visualize overlays of computer-generated 3D models on real-world surfaces. This technology is called augmented reality. Using Steady State Topography (SST) brain imaging to examine the brain activity of people who …

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Leveraging Sequential Nature Of Conversations For Intent Classification, Shree Gotteti Jan 2021

Leveraging Sequential Nature Of Conversations For Intent Classification, Shree Gotteti

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Conversations are more than just a sequence of text, it is where two or more participants interact in order to achieve their goals. Conversation Understanding (CU) requires all participants to understand each others intent. In the past decade, CU has been extended from automated human-human text processing to build automated conversational agents for human-machine interactions. Despite their popularity, these automated conversational agents (like Siri, Alexa, etc) can't handle more than one or two utterances, and they don't recognize conversations as intents. The development of approaches that extract intents behind an utterance is essential for the advancements of Question Answering (QA) …

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Carbon Nanotube-Coated Scaffolds For Tissue Engineering Applications, Soham Dipakbhai Parikh Jan 2021

Carbon Nanotube-Coated Scaffolds For Tissue Engineering Applications, Soham Dipakbhai Parikh

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Carbon Nanotubes (CNTs) have beneficial properties for cell scaffolding, which has translated into effective growth of bone, muscle, and cardiac cells. However, loose carbon nanotubes can cause in vivo toxicity. To reduce this risk, our team has developed biomimetic scaffolds with multiscale hierarchy where carpet-like CNT arrays are covalently bonded to larger biocompatible substrates. In this study, we have tested such scaffolds in two distinct types of biomedical applications involving glioblastoma and keratinocyte cells. The growth of glioblastoma (GBM) cells on our CNT-coated biomimetic scaffolds was evaluated to check their suitability as a potential chemotherapy-loaded implant for GBM patient treatment. …

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Modeling Conductive Properties Of Highly Aligned Single-Walled Carbon Nanotube And Graphene Thin Films, Mark Joseph Foster Jan 2021

Modeling Conductive Properties Of Highly Aligned Single-Walled Carbon Nanotube And Graphene Thin Films, Mark Joseph Foster

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Properties of layered material systems have been investigated since the 1940s and are currently very well understood. Classical mechanics combined with the well-developed lamination theory enable the prediction of multi-layered system properties once the properties of its constituents are known. The ability of the lamination theory to predict the conductive properties of multi-layered highly aligned single-walled carbon nanotube (SWCNT) and graphene thin films is investigated. Experimental results showed that the classical lamination theory is not valid in the case of the investigated nanofilm system. Using experimental results, we developed a closed form model using MATLAB which enabled the correct prediction …

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Design And Implementation Of Fully Integrated Cmos On-Chip Bandpass Filter With Wideband High-Gain Low Noise Amplifier, Yu Wang Jan 2021

Design And Implementation Of Fully Integrated Cmos On-Chip Bandpass Filter With Wideband High-Gain Low Noise Amplifier, Yu Wang

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Current trends of fully integrated CMOS on-chip bandpass filter are classified into 1) the component level (i.e., active inductor, Q-enhanced passive inductor, negative resistance cancellation), and 2) the circuit level (i.e., adding transmission zeros on stopband, applying the zigzag technique for fewer inductors, superposition of different resonators). The demand for monolithic designs for portable devices attracts market interest in a fully integrated CMOS on-chip bandpass filter. Optimized minimal inductors (OMI) bandpass filter is a good platform for use in both active and passive bandpass filters, mainly because 1) it provides good stopband rejection for high interface attenuation, and 2) the …

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Enzymatic Post-Translational Halogenation For Adding Functionality To Biomaterials, Alexander L. Compean Jan 2021

Enzymatic Post-Translational Halogenation For Adding Functionality To Biomaterials, Alexander L. Compean

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Silk fibroin from the silkworm, Bombyx mori, is a unique biomaterial that has been extensively studied for a variety of applications due to its promising properties such as controllable self-assembly, robust mechanical properties, and biological compatibility. Previously, there have been numerous methods describing the chemical modification of silk fibroin that utilize synthetic or enzymatic means that do not use halogens as a means of functionalization. Herein, a halogenation strategy is presented to modify silk fibroin with the aim of developing a novel functional material through the carbon-halogen (C-X) bond. Modification with NaX (X = Cl, Br, and I) salts, hydrogen …

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Sample Mislabeling Detection And Correction In Bioinformatics Experimental Data, Soon Jye Kho Jan 2021

Sample Mislabeling Detection And Correction In Bioinformatics Experimental Data, Soon Jye Kho

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Sample mislabeling or incorrect annotation has been a long-standing problem in biomedical research and contributes to irreproducible results and invalid conclusions. These problems are especially prevalent in multi-omics studies in which a large set of biological samples are characterized by multiple types of omics platforms at different times or different labs. While multi-omics studies have demonstrated tremendous value in understanding disease biology and improving patient outcomes, the complexity of these studies may increase opportunities for human error. Fortunately, the interrelated nature of the data collected in multi-omics studies can be exploited to facilitate the identification and, in some cases, correction …

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Influence Of Build Direction On Interface Regions In Additive Manufacturing Of Multi-Material Refractory Alloys, Cherish Christina Clark Lesko Jan 2021

Influence Of Build Direction On Interface Regions In Additive Manufacturing Of Multi-Material Refractory Alloys, Cherish Christina Clark Lesko

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In the pursuit of optimum performance, materials engineering seeks to design the microstructure and thus the properties of a material through the control of the material composition and processing. Functionally graded materials (FGM) are designed to incorporate location-specific material properties through compositional changes within the part. Moving toward location-specific design of material properties requires the ability to produce material gradients in three dimensions which can be accomplished through the use of additive manufacturing (AM). This research examines the composition-process-structure-property relationship of early iteration titanium (Ti) and tantalum (Ta) graded alloys built in a novel laser powder bed fusion (LPBF) process …

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Augmenting Structure/Function Relationship Analysis With Deep Learning For The Classification Of Psychoactive Drug Activity At Class A G Protein-Coupled Receptors, Hannah Willow Shows Jan 2021

Augmenting Structure/Function Relationship Analysis With Deep Learning For The Classification Of Psychoactive Drug Activity At Class A G Protein-Coupled Receptors, Hannah Willow Shows

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G protein-coupled receptors (GPCRs) initiate intracellular signaling pathways via interaction with external stimuli. [1-5] Despite sharing similar structure and cellular mechanism, GPCRs participate in a uniquely broad range of physiological functions. [6] Due to the size and functional diversity of the GPCR family, these receptors are a major focus for pharmacological applications. [1,7] Current state-of-the-art pharmacology and toxicology research strategies rely on computational methods to efficiently design highly selective, low toxicity compounds. [9], [10] GPCR-targeting therapeutics are associated with low selectivity resulting in increased risk of adverse effects and toxicity. Psychoactive drugs that are active at Class A GPCRs used …

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Influence Of Build Direction On Interface Regions In Additive Manufacturing Of Multi-Material Refractory Alloys, Cherish Christina Clark Lesko Jan 2021

Influence Of Build Direction On Interface Regions In Additive Manufacturing Of Multi-Material Refractory Alloys, Cherish Christina Clark Lesko

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In the pursuit of optimum performance, materials engineering seeks to design the microstructure and thus the properties of a material through the control of the material composition and processing. Functionally graded materials (FGM) are designed to incorporate location-specific material properties through compositional changes within the part. Moving toward location-specific design of material properties requires the ability to produce material gradients in three dimensions which can be accomplished through the use of additive manufacturing (AM). This research examines the composition-process-structure-property relationship of early iteration titanium (Ti) and tantalum (Ta) graded alloys built in a novel laser powder bed fusion (LPBF) process …

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Ab Initio Methylammonium Orientation And Monolayer Effects In Hybrid Perovskite Solar Cells, Jacob M. Artz Jan 2021

Ab Initio Methylammonium Orientation And Monolayer Effects In Hybrid Perovskite Solar Cells, Jacob M. Artz

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Methylammonium lead triiodide (MAPbI3) has garnered attention due to their high solar cell efficiencies and low cost to manufacture, but commercialization is not yet possible owing to poor environmental stability. Thus, researchers seek ways which optimize the performance of the MAPbI3 solar cell by modifying the architecture and through interfacial engineering of the charge transport layers. Difficulties in understanding these devices arise from ion migration, charge separation and recombination, and metastable, thermally active precessions of the methylammonium (MA) moiety in the lead iodide framework. In this work, focus is given to the perovskite and an adsorbed monolayer, 2,3,4,5,6-pentafluorothiophenol (C6F5SH), which …

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Gated Hall And Field-Effect Transport Characterization Of E-Mode Zno Tfts, Jason C. Anders Jan 2021

Gated Hall And Field-Effect Transport Characterization Of E-Mode Zno Tfts, Jason C. Anders

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Amorphous and nano-crystalline metal oxide semiconductors are an important class of materials under continuing investigation for emerging technologies. Accurate measurements of electron mobility in these materials is critical for furthering overall device development. This is complicated due to the fact that device measurements such as current response, transistor input and output characteristics, as well as mobility are affected by transport-limiting factors, such as charge trapping effects at the dielectric / active layer interface, and restriction of electronic transport across grain boundaries. In this work, we focus on the binary metal oxide thin film transistor (ZnO TFT), a normally-off (e-mode) transistor …

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The Regulation Of Small Gtpase Rac1 Phosphorylation, Activation And Subcellular Localization By Δnp63Α, Amjad Ahmed Aljagthmi Jan 2021

The Regulation Of Small Gtpase Rac1 Phosphorylation, Activation And Subcellular Localization By Δnp63Α, Amjad Ahmed Aljagthmi

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ΔNp63α, a member of the p53 family of transcription factors, plays a critical role in normal development and human disease. Loss of ΔNp63α expression is associated with increased cancer invasiveness and metastasis. The small GTPase Rac1 is a master regulator of cell motility, and increased Rac1 activity upregulates cell invasion in multiple human cancers. Increased cancer cell invasion associated with ΔNp63α knockdown and Rac1 activation suggests a novel mechanism by which ΔNp63α regulates tumor invasiveness through Rac1. Accordingly, we sought to delineate the effects of ΔNp63α on Rac1 phosphorylation, activation and subcellular localization. We identified a novel ΔNp63α/miR-320a/PKCᵧ signaling pathway …

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Using Fmri Bold Imaging To Motion-Correct Associated, Simultaneously Imaged Pet Data, Joseph M. Williamitis Jan 2021

Using Fmri Bold Imaging To Motion-Correct Associated, Simultaneously Imaged Pet Data, Joseph M. Williamitis

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Because magnetic resonance (MR) and positron emission tomography (PET) scanning sessions last long durations, motion blur during scanning constitutes a problem for clinical interpretation. To counteract this, motion-correction algorithms have been developed to reduce smearing between scan slices of MRI, but these algorithms are not commonplace for PET. This feasibility study determined if applying MRI motion-correction algorithms to simultaneously acquired PET data improved PET signal clarity in specific brain regions. Seven subjects received increasing levels of PET tracers while undergoing two separate simultaneous PET/MRI scans. We modified existing fMRI algorithms to apply them to the accompanying PET data. We hypothesized …

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Modeling Of Excitation In Skeletal Muscle, Sabrina Kinzie Metzger Jan 2021

Modeling Of Excitation In Skeletal Muscle, Sabrina Kinzie Metzger

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Recent experimental findings in the Rich lab suggest there are important gaps in our understanding of muscle excitability in various disease states. To generate and test hypotheses as well as to determine whether our current understanding of various aspects of muscle excitation can fully explain experimental findings, an accurate model of muscle excitation was needed. Previous studies have modeled excitation of muscle, but in each case, important aspects were omitted. One reason for this is that little effort has been made to accurately simulate muscle action potentials. In this thesis I present progress made towards generation of a model of …

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A Rebellion Framework With Learning For Goal-Driven Autonomy, Zahiduddin Mohammad Jan 2021

A Rebellion Framework With Learning For Goal-Driven Autonomy, Zahiduddin Mohammad

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Modeling an autonomous agent that decides for itself what actions to take to achieve its goals is a central objective of artificial intelligence. There are various approaches used to build autonomous agents including neural networks, state machines, utility functions, learning agents, and cognitive architectures. In this thesis, we focus on cognitive architectures. Our approach uses specific knowledge of the world, the goals they pursue, and the actions being performed. Most agents do what they are told (i.e., achieve the goals given to them by a human), but a genuinely autonomous agent does more. It can formulate its own goal or …

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