Digital Commons Network^™

Evaluation Of A New Approach For Qualitative Gas Analysis Based On Diffusion Properties, Abdalla Jamal Abunamous

Theses

The design and construction of a 6-channel parallel gas diffusion system and its application to evaluating the proposed novel approach for gas fingerprinting are described. The present gas diffusion system allows the simultaneous recording of the pressure accumulation of the permeating test gas behind six different gas permeable membranes, respectively. The obtained simultaneous diffusion rates through different membranes demonstrated clear potential as a new technique for qualitative gas identification of the ten test gases used in the present work. The test gases were helium, neon, argon hydrogen, nitrogen, carbon dioxide, methane, ethane, propane, and ethylene, which are representative examples of …

Three Dimensional Digital Alloying With Reactive Metal Inks, Chaitanya G. Mahajan

Theses

3D printing of multifunctional components using two or more materials is a rapidly growing area of research. Metallic alloy inks have been used with various 3D printing techniques to create functional components such as antennas, inductors, resistors, and biocompatible implants. Most of these printing techniques use premixed metallic alloy inks or nanoalloy particles with a fixed composition to fabricate the functional part. Since the properties of alloys vary with changes in the elemental composition, a printing process which could digitally dispense alloy inks having specific desired compositions would enable different functionalities and be highly desirable.

Using the binary copper-nickel system …

Lvad Occlusion Condition Monitoring Using Boost Classification Trees, Steven Paul Reuter

Theses

Cardiac related diseases are a serious health risk for adults. Consequently, therapies exist to treat these aliments such as heart transplant and medication. Heart transplant remains the gold standard for treating severe heart failure, however left ventricular assistive devices, a cardiac blood pump, are become a viable long term treatment. Unfortunately, with the benefits of these devices come risks of clot formation. These occlusions can cause strokes, further cardiac damage, or even death. Therefore, it is critical that these occlusions be detected as early as possible. This work presents an expanded method to non-invasively monitor the condition of a Thoratec …

Kick Boxing Coaching System, Wentian Chen

Theses

There are three key considerations when training for kickboxing; correct body position, motivation, and how to achieve different training goals. Training gear available on the market does not provide enough relevant feedback to the user to validate the effectiveness of their training. I will design a coaching system for recreational and avid kick boxers that records user input while also providing an interactive experience that tracks training in a more meaningful way. This is a project focused on user experience and product testing. User Experience requires me to study the response of the human body when it is hit, and …

Investigating Dynamic Stiffening And Softening Of A System Of Colloids Cross-Linked Via Polymers, Elisabeth Rennert

Theses

With the goal of ultimately deciphering the design principles for biomimetic materials that can autonomously stiffen and soften, we investigate colloids as a model system that can dynamically transition from fluid-like (sol) to gel-like (gel) when crosslinked with polymers. The model was first developed with colloids only, interacting via a Lennard-Jones potential and undergoing Brownian dynamics, with experimentally relevant parameters, to test and refine the simulation. We then added polymer crosslinkers that connect the colloids via an attractive spring force, and investigate resulting collective properties, such as the time needed for the formation of system spanning networks and the elastic …

Human Auditory Discrimination Of Bottlenose Dolphin Signature Whistles Masked By Noise: Investigating Perceptual Strategies For Anthropogenic Noise Pollution, Evan L. Morrison

Theses

Anthropogenic masking noise in the world’s oceans is known to impede many species’ ability to perceive acoustic signals, but little research has addressed how this noise pollution affects the detection of bioacoustic signals used for communication. Bottlenose dolphins (Tursiops truncatus) use signature whistles which contain identification information. Past studies have shown that human participants can be used as models for dolphin hearing, but most previous research investigated echolocation. In Experiment 1, human participants were tested on their ability to auditorily discriminate among signature whistles from three dolphins. Participants’ performance was nearly errorless (M = 98.8%). In Experiment 2, participants identified …

Aesthetics Of Food: The Role Of Visual Framing Strategies For Influence Building On Instagram, Shuhan Yang

Theses

This thesis employs quantitative content analysis to investigate how social media influencers use aesthetic image design to engage followers. The study investigates the ten most-followed food influencers on Instagram in the United States. The study looks at the effectiveness of visual framing strategies, focusing on the images (N = 120) of influencers which have received more than 10,000 likes in 2017. Results show that food influencers prefer to post images about cooked food, without any decorations, using high contrast colors and close-up shots. Raw food images were found to be associated with cluttered composition and far away shoots, whereas cooked …

Pulsed Photonic Sintering Of Lithium Doped Potassium Sodium Niobate (Knn) For Flexible Energy Harvesting Devices, Sara Hernandez Juarez

Theses

In this work, KNNL was sintered as a lead-free alternative to PZT using a pulsed photonic sintering method. The KNNL post-sintering composition remained close to theoretical composition indicating minimal volatilization of alkali metals. Furthermore, a remnant polarization was observed in the processed material. Energy and time demands were greatly reduced using the pulsed photonic sintering method versus conventional furnace sintering.

Piezoelectric materials can produce electric current when bent or compressed. Currently lead zirconium titanate (PZT) is the most widely used piezoelectric material. A promising lead-free alternative is sodium potassium niobate (KNN), which can be doped with lithium (KNNL) to improve …

A(Meme)Rican Politics: Gender Representation In Political Memes Of The 2016 Election, Taylor C. Lincoln

Theses

Utilizing the lens of feminist theory, this research examines gender representation in the political memes of the 2016 Presidential election in the United States. Using a mixed-methods approach, I first examine the use of the #election2016 on Twitter (N = 2,108) through a network analysis to understand the driving actors of discourse surrounding the election. A textual analysis was used to examine the views and opinions through the vocabulary and terms utilized within that network. Finally, a content analysis was conducted to interpret the latent messages and representations of gender within the memes (n = 100). Results show that political …

Modeling Composite Cytoskeletal Networks Using Effective Medium Theory, Jacob Wales

Theses

The mechanical response of most living cells arises from their cytoskeleton, a polymeric scaffold made of different types of biopolymers and associated crosslinking proteins.

We used rigidity percolation theory to devise a set of models using an effective medium approach to study the mechanical properties of cytoskeleton-like networks. We first successfully recreated a model which obtains the mechanical response of a disordered network of a single filament type, given the constitutive material properties of individual filaments and the network geometry. In this model, wherever two filaments cross they are crosslinked together, and these crosslinkers allow for energy free rotation of …

Population Genetics Of Rice Rats (Oryzomys Palustris) At The Northern Edge Of The Species Range, Phillip Conrad Williams

Theses

The marsh rice rat (Oryzomys sp.) is a semiaquatic rodent native to wetlands in the southeastern United States. The northwestern-most part of the rice rat’s range extends to Illinois where rice rats are found in wetlands across the southern part of the state. Recent studies have shown that rice rats in the United States can be divided into two species: O. palustris and O. texensis, but the taxonomic status of rice rats in Southern Illinois is unclear. To resolve this, I sequenced cytochrome-b and the control region, two regions of mitochondrial DNA, for 16 rice rats and constructed a phylogeny …

Deep Grassmann Manifold Optimization For Computer Vision, Breton Lawrence Minnehan

Theses

In this work, we propose methods that advance four areas in the field of computer vision: dimensionality reduction, deep feature embeddings, visual domain adaptation, and deep neural network compression. We combine concepts from the fields of manifold geometry and deep learning to develop cutting edge methods in each of these areas. Each of the methods proposed in this work achieves state-of-the-art results in our experiments. We propose the Proxy Matrix Optimization (PMO) method for optimization over orthogonal matrix manifolds, such as the Grassmann manifold. This optimization technique is designed to be highly flexible enabling it to be leveraged in many …

Implantable Microsystem Technologies For Nanoliter-Resolution Inner Ear Drug Delivery, Farzad Forouzandeh

Theses

Advances in protective and restorative biotherapies have created new opportunities to use site-directed, programmable drug delivery systems to treat auditory and vestibular disorders. Successful therapy development that leverages the transgenic, knock-in, and knock-out variants of mouse models of human disease requires advanced microsystems specifically designed to function with nanoliter precision and with system volumes suitable for implantation. The present work demonstrates a novel biocompatible, implantable, and scalable microsystem consisted of a thermal phase-change peristaltic micropump with wireless control and a refillable reservoir. The micropump is fabricated around a catheter microtubing (250 μm OD, 125 μm ID) that provided a biocompatible …

Scanning Single Shot Detector For Math In Document Images, Parag Shrikrishna Mali

Theses

We introduce the Scanning Single Shot Detector (ScanSSD) for detecting both embedded and displayed math expressions in document images using a single-stage network that does not require page layout, font, or, character information. ScanSSD uses sliding windows to generate sub-images of large document page images rendered at 600 dpi and applies Single Shot Detector (SSD) on each sub-image. Detection results from sub-images are pooled to generate page-level results. For pooling sub-image level detections, we introduce new methods based on the confidence scores and density of detections. ScanSSD is a modular architecture that can be easily applied to detecting other objects …

Factors Influencing Farmers’ Adoption And Intentions To Adopt Pollinator Conservation Programs And Practices In Illinois, U.S.A., Christopher M. Sedivy

Theses

Due to the growing recognition of the social and ecological consequences of the global decline in pollinator species, the need for more effective policies for the conservation of pollinator habitat is now more than ever. These trends call for research that provides a deeper understanding of farmers' decision-making processes. In this regard, this study tested a modified version of the Theory of Planned Behavior as a conceptual model for explaining farmers' perceptions and behavior regarding the adoption of pollinator conservation programs and practices. Specifically, the study tested how farmers' perceived behavioral control, attitudes, subjective norms, concern about herbicide resistance issues, …

A Microchemical Analysis Of Native Fish Passage Through Brandon Road Lock And Dam, Des Plaines River, Illinois, Claire Snyder

Theses

Modifications to Brandon Road Lock and Dam (BRLD), located on the Des Plaines River in northeastern Illinois, have been proposed to prevent the upstream transfer of aquatic invasive species, particularly Asian carps, into the Great Lakes Basin. These modifications, including the installation of an electric barrier, acoustic fish deterrent, and air bubble curtain, are designed to completely eliminate all upstream fish passage and may negatively impact native fish populations in the Des Plaines River by reducing upstream movement and potentially fragmenting populations. BRLD is situated just 21 km upstream of the Des Plaines River mouth, and fish are only able …

Spatial And Temporal Variation In The Diet Composition Of Zooplankton In Mission Bay, Bryanna Paulson

Theses

Analyses of quantitative data on zooplankton diets are vital for understanding the drivers of zooplankton abundance within an ecosystem. Such analyses also provide insight into trophic pathways within the lower planktonic food web, which support populations of higher trophic level species. This study used carbon and nitrogen stable isotope ratios of size-fractionated plankton in Mission Bay, San Diego, CA to examine the spatial and temporal variation in zooplankton trophic ecology and determine potential environmental drivers of zooplankton community structure. Carbon stable isotopes reflect primary production sources in an organism’s diet, and nitrogen stable isotope ratios can be used to estimate …

Predicting The Emotional Intensity Of Tweets, Intisar M. Alhamdan

Theses

Automated interpretation of human emotion has become increasingly important as human-computer interactions become ubiquitous. Affective computing is a field of computer science concerned with recognizing, analyzing and interpreting human emotions in a range of media, including audio, video, and text. Social media, in particular, are rich in expressions of people's moods, opinions, and sentiments. This thesis focuses on predicting the emotional intensity expressed on the social network Twitter. In this study, we use lexical features, sentiment and emotion lexicons to extract features from tweets, messages of 280 characters or less shared on Twitter. We also use a form of transfer …

Registration Of Diffusion Tensor Images In Log-Euclidean And Euclidean Space, Kevin Tuttle

Theses

Diffusion Tensor Imaging is a type of Magnetic Resonance Imaging that allows for the examination of brain connectivity and axonal integrity. Diffusion Tensor Images are created by capturing Diffusion-Weighted MRI images with specific RF pulses, inputing the images and the RF pulse gradient vectors into a set of equations, and solving the equations with linear algebra. To compare one DTI image with another, the images can be aligned using Image Registration. Image Registration works by defining a metric that describes the similarity between two images and iteratively transforming one of the images until the similarity measure is minimized. Existing methods …

Methodology For The Integration Of Optomechanical System Software Models With A Radiative Transfer Image Simulation Model, Keegan S. Mccoy

Theses

Stray light, any unwanted radiation that reaches the focal plane of an optical system, reduces image contrast, creates false signals or obscures faint ones, and ultimately degrades radiometric accuracy. These detrimental effects can have a profound impact on the usability of collected Earth-observing remote sensing data, which must be radiometrically calibrated to be useful for scientific applications. Understanding the full impact of stray light on data scientific utility is of particular concern for lower cost, more compact imaging systems, which inherently provide fewer opportunities for stray light control. To address these concerns, this research presents a general methodology for integrating …

Numerical Model To Predict Hemolysis And Transport In A Membrane-Based Microfluidic Device, Matthew D. Poskus

Theses

Microfluidics has become an increasingly popular tool in the design and development of medical devices and artificial organs. Two promising applications of microfluidics are dialyzers and oxygenators. As a step toward portable dialysis treatment, continuous microfluidic dialysis may resolve many clinical issues with current dialysis treatments. Additionally, commercially available oxygenators exceed the blood volume of neonatal patients; low-volume microfluidic devices may safely deliver oxygen to these patients. Two critical parameters in the development of these devices is mechanical hemolysis and membrane diffusion, which are intricately connected to the geometry, flow rate, properties of the membrane, and each other. A computational …

Functional Comparison Of Current Software Tools For Genomic Assembly From High Throughput Sequencing Data, Lars J. Olsen

Theses

De novo genomic sequencing, which is the process of discovering the sequence of a genome which has not previously been elucidated, provides unique challenges, especially for larger genomes. Modern high-throughput sequencing technologies have addressed the issue of covering the entire genome in a reasonable time by fragmenting the genome into portions that can be examined in a massively-parallel approach. While these have saved considerable time and cost for the chemical process of determining the sequence of a genome, they result in sets of many tens of millions of sequence fragments called reads, each of which is typically on the order …

Breaking The Stigma: Major Depressive Disorder, Joanna Cox

Theses

Major Depressive Disorder (MDD) is a mood and mental disorder affecting the brain; it is caused by the reduction of three monoamine neurotransmitters: serotonin, norepinephrine, and dopamine (Rot, M. A., Mathew, S. J., & Charney, D. S. 2009). MDD is one of the world’s most common mental disorders, affecting a predicted 4% of the world’s population and roughly 16.1 million adults in United States alone (Major Depression. 2019; Ritchie, H., & Roser, M. 2018). The concentrations of these neurotransmitters are reduced in the brains of people with MDD due to their increased reabsorption from synapses in the brain back into …

Decadal Changes In Salt Marsh Succession And Assessing Salt Marsh Vulnerability Using High-Resolution Hyperspectral Imagery, Sarah Goldsmith

Theses

Change in the coastal zone is accelerating with external forcing by sea-level rise, nutrient loading, drought and over-harvest is impacting salt marshes. Understanding marsh resilience, including recovery from coastal storms and detection of stress, is essential for conservation and prediction of ecosystem services. The ‘chronosequence approach’ of predicting future state change by examining ecosystem structure and function in existing ecosystems of different ages is a powerful tool, but assumes that the past mimics the future, and time is the dominant driver of change. This approach was evaluated by replicating a 1995 salt marsh chronosequence study in back-barrier marshes ranging from …

Fabrication Of Organic-Inorganic Hybrid Nanocomposite-Based Sensor For H2s Gas Detection, Fajr Ibrahim Musa Ali

Theses

Low power consumption, low limits of detection, and low cost are the compelling demands in the world of gas sensors development that motivate the search for new materials. Recently, gas sensors based on organic-inorganic nanocomposite materials have attracted much attention due to their high performance and low working temperatures in comparison with the commercial sensors for Hydrogen sulfide (H_₃S) gas. The development of H_₂S gas sensors is vital because H_₂S is one of the major air pollutants produced in large quantities in petroleum/natural gas drilling and refining. H_₂S gas is extremely toxic, …

Towards Lightweight Ai: Leveraging Stochasticity, Quantization, And Tensorization For Forecasting, Zachariah Jl Carmichael

Theses

The deep neural network is an intriguing prognostic model capable of learning meaningful patterns that generalize to new data. The deep learning paradigm has been widely adopted across many domains, including for natural language processing, genomics, and automatic music transcription. However, deep neural networks rely on a plethora of underlying computational units and data, collectively demanding a wealth of compute and memory resources for practical tasks. This model complexity prohibits the use of larger deep neural networks for resource-critical applications, such as edge computing. In order to reduce model complexity, several research groups are actively studying compression methods, hardware accelerators, …

Modular Synthesis Of Targeted Molecular Imaging Agents For Mri, Pet, And Pet-Mri Of Cancer, Kelsea Jones

Theses

Molecular imaging is a field widely used in the diagnosis and treatment of cancer. We offer here a modular method for the synthesis of targeted molecular imaging agents (TMIAs), which will improve the accuracy of current molecular imaging methods, as well as allow for earlier detection of tumors. The use of TMIAs in molecular imaging yields increased signal at cancerous cells and reduced signal from healthy cells. Our modular approach is useful as a facile method for the synthesis of dual-modal TMIAs for PET-MRI, which combine the sensitive detection of functional activity from PET with the high-resolution structural information obtained …

State Policies Of Medical Marijuana Versus Food & Drug Administration Policies Of Pharmaceutical Drugs, Kayla Stephan

Theses

In the past 22 years, 32 states have legalized and regulated marijuana for medical use. However, marijuana is scheduled as a Schedule I drug according to the federal government. This means that states have no specific regulations to follow for regulating marijuana for medical use. Because of this, states may be risking the safety of medical marijuana patients. Research was conducted to analyze the policies set out by the Food & Drug Administration (FDA) regarding the regulation of a prescription drug. Since the FDA is responsible for the safety and efficacy of prescription drugs, this analysis included what types of …

Colonialism To Carnival: Tracking Centuries Of Racialized Imagery Of Brazilian Woman, Livia Dias

Theses

The thesis explores how the image of Brazilian women, which is highly racialized and sexualized, was constructed historically, and try to understand why Brazilian women are seen as they are in the twentieth century. Throughout the chapters, I will analyze historical documents that I argued helped to construct this image inside Brazil and worldwide.

A Study Of Machine Learning And Deep Learning Models For Solving Medical Imaging Problems, Fadi G. Farhat

Theses

Application of machine learning and deep learning methods on medical imaging aims to create systems that can help in the diagnosis of disease and the automation of analyzing medical images in order to facilitate treatment planning. Deep learning methods do well in image recognition, but medical images present unique challenges. The lack of large amounts of data, the image size, and the high class-imbalance in most datasets, makes training a machine learning model to recognize a particular pattern that is typically present only in case images a formidable task.

Experiments are conducted to classify breast cancer images as healthy or …