Engineering Commons^™

Klf2 Regulation Of Glycocalyx Expression, Barrier Function, And Thromboinflammation In Human Lung Microvascular Endothelial Cells, Cambria O'Grady

All ETDs from UAB

KLF2 is an important transcription factor for maintaining vascular homeostasis. Its expression in endothelial cells is triggered by shear stress. The endothelial glycocalyx also plays a role in regulating vascular function, and prior work has shown that glycocalyx expression is affected by shear stress as well. However, the direct link between KLF2 and mechanisms that regulate glycocalyx synthesis has not been established. In the present study, we used human lung microvascular endothelial cells (HLMVECs) to observe changes in glycocalyx expression, barrier function, and thromboinflammation caused by KLF2 overexpression. Lentiviral transduction was the method used for KLF2 overexpression, resulting in a …

Adapting Nlp Techniques In Transfer Learning For Forensic Authorship Profiling, Esam Alzahrani

All ETDs from UAB

Cybercrimes have risen and caused threats to regular internet users. In recent times, the increased use of online social networks (OSNs) allows people to easily share opinions, personal information, and others. Since a major part of OSNs content is textual content, immense research has focused on text analysis techniques using machine learning and Natural Language Processing (NLP). One important area of research focused on text analysis using machine learning is forensic text analysis. Digital forensics is a discipline concerns finding, preserving, and presenting admissible evidence in court. Sadly, the convenience of OSNs creates an optimal venue for cybercriminals to perform …

A Value-Based Framework For Process Alignment In Complex Provisioning Systems, Michael Lipscomb

All ETDs from UAB

Provisioning systems are human-built, process-based systems whose activities are directed toward providing something of value to another entity. The things provided are not limited to any one type but may include, for example, objects, services, and information. Systems under consideration herein are limited to those that are human based, decentralized, and complex. “Human based” means that many of the agents and all the customers of the system are human. “Decentralized” means that agents act beyond central control. Such a system presents different challenges from one in which tasks are delegated from a central authority. In a decentralized system, agents are …

Pkd-1 Signaling Inthe Regulation Of Cancer Stem Cell-Like Features And Cancer Cell Interactions With Endothelial Cells In Breast Cancer And Pancreatic Neuroendocrine Tumor, Yichen Hailey Guo

All ETDs from UAB

Cancer stem cells (CSCs) are a subpopulation cancer cells that play critical roles in tumor progression, recurrence, metastasis, and drug resistance. CSCs are characterized by self-renewal and plasticity. Protein kinase D-1 (PKD-1) signaling regulates CSC/stemness features in both breast cancers and pancreatic neuroendocrine tumors. In PNETs, PKD-1 signaling regulates not only stemness properties of cancer, but also epithelial-mesenchymal transition (EMT). PNETs are typically well vascularized and heterogeneous. Everolimus (an mTOR inhibitor and the 2nd generation derivative of rapamycin) has been approved as a targeted chemotherapy for PNET patients. Unfortunately, nearly all patients will progress on treatment due to drug resistance …

Biomanufacturing Of Micro-Myocardial Tissue Through Suspension Differentiation With Improved Yields, Purity, And Quality, Asher M. Kahn-Krell

All ETDs from UAB

Despite major advances in revascularization and drug therapy for post-myocardial infarction (MI) heart failure (HF), heart transplantation remains the only curative therapy to prevent progressive and debilitating disease. Researchers have long sought a replenishable and expandable source of cardiomyocytes (CMs), the primary functional cell in the heart muscle, for a broad array of applications related to the treatment of HF ranging from direct implantation to high throughput drug testing. The lack of cell cycle activity and cell division in adult CMs prevented the development of an expandable primary cell line. However, with the discovery of high efficiency stem cell differentiation …

Generating Individual Class Latent Vector Distribution Based On The Variational Autoencoder Framework, Jonnada Manga Tayaru

All ETDs from UAB

oencoders is an unsupervised neural network architecture that can be used for a compressed representation of the original input. They can be used for dimensionality reduction, anomaly detection, and signal de-noising. While Principal Component Analysis (PCA) uses linear transformation, autoencoders use more complex non-linear functions for encoding. In one special case of autoencoders, called Variational Autoencoders (VAE), the latent attributes are described using probability distribution functions (PDF). This probabilistic representation of the latent space helps with synthesizing new data which looks akin to the original input data. The fundamental idea of a VAE is to represent the entire input data …

Towards Cloud-Based Cost-Effective Serverless Information System, Isaac C. Angle

EWU Masters Thesis Collection

E-commerce information systems are becoming increasingly popular for businesses to adopt. In this work, we propose a serverless information system that will reduce costs for small businesses trying to create an e-commerce website. The proposed serverless system is built entirely in Amazon Web Services (AWS). The proposed serverless system allows businesses to pay for the use of cloud resources on a per-order granularity. This model reduces the cost of the information system when compared to a traditional cloud-based system. As e-commerce websites become more vital for small businesses, a cost effective serverless approach is promising.

Assessment Of Scientific Payload Carrying Spirulina Onboard Blue Origin’S New Shepard Vehicle, Pedro J. Llanos, Morgan Shilling, Kristina Andrijauskaite, Kody Kidder, Vijay V. Duraisamy

Publications

The research team at ERAU and UTHSCSA analyzed the effects of suborbital flight stressors and various light conditions (red, white, no light) on the Arthrospira platensis (Spirulina), onboard Blue Origin’s New Shepard vehicle. Commercially available cyanobacterium species were cultivated and closely monitored in mother colonies several months before the suborbital flight mission. The aim of this study was to estimate the biomass production and growth as a potential dietary alternative for prospective human spaceflight's life support system. Spirulina samples were flown in a NanoLab with adjacent avionics supporting the light conditions and sensors to monitor the temperature, relative humidity, and …

Cool Thermal Energy Storage: Water And Ice To Alternative Phase Change Materials, Sandra K. S. Boetcher

Publications

Cool thermal energy storage has a long history dating back to ancient times with modern developments beginning in the mid-nineteenth century where blocks of ice were cut from frozen lakes for cooling applications. Today, the prevalent mode of thermal energy storage is the utilization of ice tanks in commercial buildings for peak shaving and load shifting. In this chapter, a summary of different types of water/ice thermal energy storage systems is provided; an overview of alternative phase change materials for use in cool thermal energy storage is given; and alternative phase change material thermal energy systems, their implementation, challenges, and …

Experimental Study Of Wall Bounded Harbor Seal Whisker Inspired Pin Geometries, Anish Prasad, Mark Ricklick

Publications

Conventional cylindrical/elliptical pins are one of the most widely used geometries in convection cooling systems and are used in the internal cooling of gas turbine blades and other applications, as they promote better heat transfer at the expense of large pressure losses and unsteadiness in the flow. The need to reduce pressure drop and maintain the heat transfer rates are a pressing requirement for a variety of industries to improve their cooling efficiency. One such prominent field of research is conducted in optimizing the design of pin geometries. In this study, a harbor seal whisker inspired geometry is being studied …

Improving Continuity And Quality Assurance In Internet Of Things Infrastructure Using Blockchain, Hussain A. Alshehri

All ETDs from UAB

In this research I present a rigorous study on the service continuity and quality assurance using the Internet of Things (IoT). The research aims at identifying risks and improving the risk mitigation tools that are currently in use for improving the IoT performance, and for pushing forward the implementation of IoT in mission critical applications. This objective can be accomplished by identifying the impact of the strategic planning, quality assurance, performance assurance, and risk management on the IoT used in businesses. While the focus is mainly on the business continuity domain, the technical aspects of IoT solutions are also covered. …

How Does Loss Of Pulsatility Lead To Non-Surgical Bleeding In Continuous Flow Ventricular Assist Device Patterns, Khahn Tu Nguyen

All ETDs from UAB

The primary goal of this study is to evaluate the effect of diminished pulsatility associat-ed with Continuous Flow Ventricular Assist Devices (CF-VADs) on endothelial respons-es of pro-angiogenic/proinflammatory soluble factors and von Willebrand Factor (vWF). Non-surgical bleeding is one of the most common adverse events after CF-VAD implan-tation and is a major cause of morbidity in patients supported by CF-VAD therapy. Alt-hough the exact mechanisms remain unclear, development of arteriovenous malfor-mations (AVMs) and acquired von Willebrand factor syndrome (AVWS) are widely be-lieved to be major risk factors. Another challenge with the study of pulsatility is that pre-clinical studies to understand how …

Effect Of Connection State & Transport/Application Protocol On The Machine Learning Outlier Detection Of Network Intrusions, George Yuchi, Torrey J. Wagner, Paul Auclair, Brent T. Langhals

Faculty Publications

The majority of cyber infiltration & exfiltration intrusions leave a network footprint, and due to the multi-faceted nature of detecting network intrusions, it is often difficult to detect. In this work a Zeek-processed PCAP dataset containing the metadata of 36,667 network packets was modeled with several machine learning algorithms to classify normal vs. anomalous network activity. Principal component analysis with a 10% contamination factor was used to identify anomalous behavior. Models were created using recursive feature elimination on logistic regression and XGBClassifier algorithms, and also using Bayesian and bandit optimization of neural network hyperparameters. These models were trained on a …

Machine Learning Land Cover And Land Use Classification Of 4-Band Satellite Imagery, Lorelei Turner, Torrey J. Wagner, Paul Auclair, Brent T. Langhals

Faculty Publications

Land-cover and land-use classification generates categories of terrestrial features, such as water or trees, which can be used to track how land is used. This work applies classical, ensemble and neural network machine learning algorithms to a multispectral remote sensing dataset containing 405,000 28x28 pixel image patches in 4 electromagnetic frequency bands. For each algorithm, model metrics and prediction execution time were evaluated, resulting in two families of models; fast and precise. The prediction time for an 81,000-patch group of predictions wasmodels, and >5s for the precise models, and there was not a significant change in prediction time when a …

Precise Landing Of Vtol Uavs Using A Tether, Jeremy W. Rathjen

Graduate Theses, Dissertations, and Problem Reports (ETD)

Unmanned Aerial Vehicles (UAVs), also known as drones, are often considered the solution to complex robotics problems. The significant freedom to explore an environment is a major reason why UAVs are a popular choice for automated solutions. UAVs, however, have a very limited flight time due to the low capacity and weight ratio of current batteries. One way to extend the vehicles' flight time is to use a tether to provide power from external batteries, generators on the ground, or another vehicle. Attaching a tether to a vehicle may constrain its navigation but it may also create some opportunities for …

Quantitative Analysis Of Rate Transient Analysis In Unconventional Shale Gas Reserviors, Gabriel Quintero

Graduate Theses, Dissertations, and Problem Reports (ETD)

Rate Transient Analysis is a quick reservoir modeling solution that has been used throughout the oil and gas industry over its continuous development and has provided breakthroughs for modeling conventional plays for decades. As the Marcellus Shale play continues to be a massive producer of Natural Gas in the world, operators look to find economical yet fairly accurate solutions to develop accurate reservoir models of their wells given the complex nature of unconventional reservoirs. Due to extremely low permeability and heterogeneity along with its complex fracture networks, it becomes an extremely difficult problem to model and predict the fluid flow …

Controlling The Thermal And Electrical Properties Of Camno3-Δ Based Perovskite Ceramics, Sergio Andres Paredes Navia

Graduate Theses, Dissertations, and Problem Reports (ETD)

Most of the energy lost during the conversion process comes in the form of waste heat. The world's energy consumption loses over 60% of its energy after conversion. In order to increase the efficiency of the conversion process, it is essential to harness waste heat and reutilize this energy resource. Heat recovery technology as thermoelectric (TE) technology is one of the growing alternatives to harvest excessive amounts of energy lost as waste heat for a more efficient, safe, and sustainable future. Due to the Seebeck effect, TE materials have the potential to convert waste heat directly into electricity, improving efficiency …

An Electrochemical-Mechanical Investigation Of Next Generation Lithium Metal Electrode And Solid Electrolyte, Andrew Meyer

Theses and Dissertations--Chemical and Materials Engineering

Lithium-ion batteries (LIBs) are a staple in today’s society. From our cellphones, laptops, power tools, the ever-growing electric vehicle, and many more application, LIBs are more important to us than most realize. They provide the best combination of both high-energy and high-power density compared to other battery types such as Ni-Cd, Ni-MH, or the lead acid batteries used in our cars. Plus, LIBs are much safer. However, as new technologies grow and are developed, the demand for higher energy and power density, better safety, lower costs, and longer life increases. One way to achieve the ever-increasing demands is to replace …

Improving Manufacturing Processes For Making Lithium Ion Battery Electrodes, Ming Wang

Theses and Dissertations--Chemical and Materials Engineering

Rechargeable lithium-ion batteries (LIBs) are widely used to provide energy and power in portable electronics, electric vehicles, and energy storage systems. The LIB market has grown dramatically as they have a combination of high energy density, high power density, proven reliability, and long cycle life. The manufacturing process is one of the key factors as it strongly affects the cost and performance of LIBs.

This dissertation is focused firstly on the development of a conventional slurry-based electrode manufacturing process. Slurry making is a critical step that affects the subsequent steps in battery manufacturing. In this work, we have investigated the …

Microscale Contact And Friction Of Low Modulus, Lightly Crosslinked Polydimethylsiloxane, Justin Glover

Theses and Dissertations--Chemical and Materials Engineering

Friction and adhesion of soft materials are important for pressure sensitive adhesives, biomaterials, and soft robotics; however, the behavior on the microscale is not fully understood. When two objects come into contact, their interactions are usually mediated by small contact points due to surface roughness. At the microscale size, surface forces can deform soft materials to minimize energy by increasing the contact area, which is balanced by the elastic deformation of the polymer network. However, for soft, crosslinked materials with a modulus below ~100 kPa, it is challenging to predict the behavior with prior contact and friction models. Additionally, lightly …

Versatile Functionalization Strategy For The Capture Of Antibodies Using Silica Nanoparticles, Sayma Afrin

Theses and Dissertations--Chemical and Materials Engineering

In this work, the synthesis of protein-functionalized nonporous silica nanoparticles and their application to capture antibodies was demonstrated. Silica nanoparticles were chosen as they offered particle and pore size tunability, low toxicity, thermal stability, ease of synthesis and ease of surface functionalization. A biotin-streptavidin-biotin bridge was constructed on the surface of the particles and used to attach biotinylated Protein A/G (PAG), which has high affinity for antibodies. The biotin-streptavidin-biotin bridge is hypothesized to orient the PAG in a favorable manner for efficient antibody capture. Nonporous silica nanoparticles (approximately 270 nm in diameter) were synthesized via the Stöber method. Following amine …

Development Of Soluble Bioactive Poly(Beta Amino Esters) (Pβaes) For Post-Synthesis Processing, Kelley Wiegman

Theses and Dissertations--Chemical and Materials Engineering

Polymers have proven to be a viable platform to facilitate the controlled and targeted release for a variety of therapeutic agents. Polymeric prodrugs are a growing area of drug delivery in which active pharmaceutical ingredients are covalently linked to a polymeric form in an effort to enhance stability, delivery, and pharmacology. One naturally occurring class of active ingredients, known as polyphenols, can potentially offer a vast array of beneficial therapeutic properties. However, the therapeutic efficacy of these compounds is severely limited due to poor solubility and bioavailability as well as an oxidative and thermal instability. To improve the efficacy of …

Photocatalytic Degradation Of Lignin By Supported Silver Nanoparticles, Ning Wei

Theses and Dissertations--Chemical and Materials Engineering

Lignin is the second most abundant form of biomass on earth. The phenolic structure and high carbon to oxygen ratio make lignin an attractive renewable source of fuel and chemicals. However, its recalcitrance and heterogeneous nature prove difficult for decomposing lignin’s polymer structure and separation of the products. This work has focused on the use of low-energy catalytic approaches to overcome these barriers. A mimic of the lignin degrading enzyme laccase, consisting of a copper cluster Cu4Py4I4 modified with AgNO3, was developed to function similarly to the laccase active site. The prepared copper complex solution was found to be active …

Derivation, Exploration And Evaluation Of Non-Equiatomic High Entropy Alloys, Artashes Ter-Isahakyan

Theses and Dissertations--Chemical and Materials Engineering

High-entropy alloys (HEAs) are a class of multicomponent alloys based on an innovative alloying strategy that employs multi-principle elements in relatively high concentrations. Commonly defined as alloys that contain at least five principal elements, each with a concentration between 5 and 35 at %. The term entropy refers to the excess configurational entropy associated with HEAs, which is thought to facilitate the formation of solid solutions. The design strategy results in vast compositional space for exploration and innovative potential triggering a renaissance in physical metallurgy. These alloys may have favorable properties compared to conventional dilute solid solutions, but their preeminent …

A Highly Conductive, Flexible, And 3d-Printable Carbon Nanotube-Elastomer Ink For Additive Bio-Manufacturing, Andy Shar, Phillip Glass, Daeha Joung Ph.D.

Undergraduate Research Posters

The synthesis of a highly conductive, flexible, 3D-printable, and biocompatible ink has been of great interest in the field of bio-based additive manufacturing. Various applications include ultra-sensitive, microscale tactile sensors, patient-customizable scaffolds for cardiac and nerve tissue regeneration, and flexible electrocardiogram (ECG) electrodes. Here, a novel elastomeric carbon nanocomposite is presented consisting of amino-functionalized carbon nanotubes (CNT-NH₂) homogenously dispersed in a one-part room-temperature vulcanizing (RTV) silicone matrix. The use of acetone as a swelling solvent aids in electrical percolation through the elastomer matrix. CNT-NH₂ ratios can be tuned to fit various needs; higher tensile strength is favored …

Lessons From Real-Time, Online Collaborative Modeling To Discuss More Adaptive Reservoir Operations, David E. Rosenberg

Civil and Environmental Engineering Faculty Publications

This work had the purpose to model and discuss in real-time more adaptive Colorado River reservoir operations with manager and experts. I created real-time, online collaborative modeling environments by using an interactive web spreadsheet (Google Sheet) during video conference sessions. 26 Colorado River managers and experts participated. Within each session, up to 6 people from the same stakeholder group simultaneously consumed, saved, and traded water in six basin water accounts, protected reservoirs, and sustained endangered, native fish of the Grand Canyon. The collaboration differed from prior studies that excluded stakeholders, extracted data from participants, had a lead modeler or facilitation …

Adapting Colorado River Basin Depletions To Available Water To Live Within Our Means, Jian Wang, David E. Rosenberg

Publications

The Colorado River’s two largest reservoirs are drawing down because releases exceed inflows and releases adapt to reservoir elevations instead of elevation and inflow triggers. To help slow reservoir drawdown and sustain target elevations, we introduced a new rule that adapted basin depletions to available water. We simulated inflow-based operations and validated existing operations in a new open-source exploratory model for the Colorado River Basin. We developed the exploratory model to more easily adapt Upper and Lower Basin depletions to available water, reduce run time, and lower costs to use compared to the proprietary RiverWare Colorado River Simulation System (CRSS) …

Attainable Moment Set And Actuation Time Of A Bio-Inspired Rotating Empennage, Christian R. Bolander, Douglas F. Hunsaker, David Myszka, James J. Joo

Mechanical and Aerospace Engineering Faculty Publications

Future tactical aircraft will likely demonstrate improvements in efficiency, weight, and control by implementing bio-inspired control systems. This work analyzes a novel control system for a fighter aircraft inspired by the function of – and the degrees of freedom available in – a bird’s tail. The control system is introduced to an existing fighter aircraft design by removing the vertical tail and allowing the horizontal tail surfaces to rotate about the roll axis. Using a low-fidelity aerodynamic model, an analysis on the available controlling moments and actuation speeds of the baseline aircraft is compared to that of the bio-inspired rotating …

Me-Em Enewsbrief, December 2021, Department Of Mechanical Engineering-Engineering Mechanics, Michigan Technological University

Department of Mechanical and Aerospace Engineering eNewsBrief

No abstract provided.

Biom 1720: Introduction To Biomedical Engineering Tools (Syllabus), Stephen Strain

Biomedical Engineering Syllabi Archive

Course Description: Use of computer tools for data analysis, presentation, documentation; introduction to programming; individual and group design projects.