Engineering Commons^™

Understanding Control Of Metabolite Dynamics And Heterogeneity, Christopher John Hartline

McKelvey School of Engineering Graduate Student Theses & Dissertations

Microbes live in complex and continually changing environments. Rapid shifts in nutrient availability are a common challenge for microbes, and cause changes in intracellular metabolite levels. Microbial response to dynamic environments requires coordination of multiple levels of cellular machinery including gene expression and metabolite concentrations. This coordination is achieved through metabolic control systems, which sense metabolite concentrations and direct cellular activity in response. Several reoccurring control architectures are found throughout diverse metabolic systems, which suggests underlying evolutionary advantages for using these control systems to coordinate metabolism. One common, yet understudied, control architecture is the positive feedback metabolite uptake loop, which …

Development Of Noninvasive Biomarkers For Cervical Spondylotic Myelopathy, Dinal Jayasekera

McKelvey School of Engineering Graduate Student Theses & Dissertations

Cervical spondylotic myelopathy (CSM) represents the most common cause of chronic spinal cord injury (SCI) in adults. Many patients with symptomatic CSM will experience a decline in neurological function and consequently undergo surgical decompression. Unfortunately, surgeons are unable to adequately counsel patients about the benefits of surgery because the natural history of disease and outcome after decompression vary widely among patients. This can hinder the decision-making capacity of patients and physicians. Therefore, we require additional tools to help guide therapy and counsel patients with CSM. Noninvasive biomarkers present valuable potential as predictors of a patient’s recovery in the long term. …

Evaluation And Clinical Implementation Of A Dual-Energy Ct Stopping-Power Ratio Mapping Technique For Proton-Therapy Treatment Planning, Maria Jose Medrano Matamoros

McKelvey School of Engineering Graduate Student Theses & Dissertations

Proton radiotherapy has the potential to treat tumors with better conformal dose distribution than competing modalities when the rapid dose falloff at the end of the proton-beam range is correctly aligned to the edge of the clinical target volume (CTV). However, its clinical potential is dependent on the accurate localization of the Bragg-peak position from predicted stopping-power ratio maps. The method that is most commonly used in today’s clinical practice for predicting stopping-power ratio (SPR) consists of a stoichiometric calibrationtechnique based on single-energy CT (SECT) for direct estimation of patient-specific SPR distribution from vendor-reconstructed Hounsfield Unit (HU) images. Unfortunately, this …

Machine Learning And Scalable Informatics Methods To Predict Disease Status From Multimodal Biomedical Data, Hossein Mohammadian Foroushani

McKelvey School of Engineering Graduate Student Theses & Dissertations

Biological understanding of complex diseases such as stroke and obesity is critical for the advancement of medicine. Further knowledge discovery can provide effective biomarkers to improve disease diagnosis and prognosis, identify driver mutations, predict individual genetic susceptibility for early prevention and effective disease management, and facilitate development of personalized drugs. Stroke is the second leading cause of death and long-term disability in the world. Thus, stroke management is a time-sensitive emergency. The initial hours after stroke onset map the trajectory of subsequent neurologic complications. Cerebral edema develops hours to days after acute ischemic stroke and may result in midline shift …

Focused Ultrasound-Enabled Blood-Based Liquid Biopsy (Sonobiopsy) For Brain Disease Diagnosis, Christopher Pham Pacia

McKelvey School of Engineering Graduate Student Theses & Dissertations

Brain cancer severely threatens human health due to its disruption of neurological function, poor prognosis, and substantial reduction in quality of life. Glioblastoma (GBM) is the most devastating brain cancer; not only is it the most common malignant primary tumor in adults, but also it has a median survival of 14 months with a 5-year survival rate of less than 5%. Despite advances in multidisciplinary treatment that includes surgical resection, radiation therapy, and chemotherapy, almost all patients experience tumor progression and nearly universal mortality within 2 years. However, advances in patient care have suggested that the accurate diagnosis of molecular …

Noninvasive Neuromodulation Via Ultrasonic Activation Of Endogenous And Exogenous Ion Channels, Yaoheng Yang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Neuromodulation technology is key to understanding brain function and treating brain diseases. Conventional neuromodulation technologies, such as direct current stimulation, transcranial magnetic stimulation, and optogenetics, predominately rely on electromagnetic waves. However, the fundamental physical law  the tradeoff-relationship between penetration and spatial resolution, limits their transcranial penetration within the superficial cortex layer. To overcome this challenge, electrodes or optical fibers need to be surgically implanted into the brain to modulate specific brain regions. Different from electromagnetic waves, ultrasound, as a mechanical wave, can non-invasively penetrate through the intact skull to reach deep brain regions with millimeter spatial focus. Ultrasound has …

Pet/Mr Imaging Biomarkers For Cerebral Small Vascular Diseases: Tissue Oxygenation Stress And Neuroinflammation, Chunwei Ying

McKelvey School of Engineering Graduate Student Theses & Dissertations

Fifty million people are affected by dementia worldwide. Cerebral small vessel disease (CSVD) often leads to vascular contributions to cognitive impairment and dementia (VCID), the second leading cause of dementia after Alzheimer’s disease (AD), accounting for up to 45% of dementia. White matter hyperintensities (WMH) on fluid-attenuated inversion recovery (FLAIR) imaging and disrupted white matter microstructure on diffusion tensor imaging (DTI) have been widely used as biomarkers to evaluate CSVD.

The pathogenesis underlying CSVD is not well understood. It has been postulated that exposure to risk factors, including hypertension, diabetes, and smoking over years injures small arterioles, impairs autoregulation and …

Development Of The Assessment Of Clinical Prediction Model Transportability (Apt) Checklist, Sean Chonghwan Yu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Clinical Prediction Models (CPM) have long been used for Clinical Decision Support (CDS) initially based on simple clinical scoring systems, and increasingly based on complex machine learning models relying on large-scale Electronic Health Record (EHR) data. External implementation – or the application of CPMs on sites where it was not originally developed – is valuable as it reduces the need for redundant de novo CPM development, enables CPM usage by low resource organizations, facilitates external validation studies, and encourages collaborative development of CPMs. Further, adoption of externally developed CPMs has been facilitated by ongoing interoperability efforts in standards, policy, and …

Advancing The Portability, Field Of View, And Spatiotemporal Resolution Of Multi-Parametric Photoacoustic Microscopy, Fenghe Zhong

McKelvey School of Engineering Graduate Student Theses & Dissertations

Capable of structural, functional, molecular, and metabolic imaging with high spatial resolution in vivo, photoacoustic microscopy (PAM) is an emerging tool in biomedical research. Further, recent advances in multi-parametric acquisition and analysis make PAM uniquely capable of simultaneously mapping the total concentration of hemoglobin (CHb), oxygen saturation of hemoglobin (sO2), and blood flow speed. However, there are multiple major limitations, including, the large footprint, low imaging speed, limited imaging contrast, and insufficient axial resolution, which impedance its applications in basic and translational research. In this dissertation, I presented potential solutions to overcome the limitations above.In the first part of this …

Labeling Melanoma Cells With Black Microspheres For Improved Sensitivity In Detection Via Photoacoustic Flow Cytometry, Tori Kocsis

Electronic Theses and Dissertations

Melanoma is an aggressive form of skin cancer known for developing into metastatic disease. Current clinical diagnostics, including medical imaging and tissue biopsy, provide a poor prognosis since the cancer is in the late stages of disease progression. In recent years, photoacoustic flow cytometry has allowed for the detection of circulating melanoma cells within patient blood samples in vitro. Although this method exploits the naturally-produced melanin within the cells, it has only successfully detected highly-pigmented melanoma cell lines. Since various forms of melanoma exist, each with varying melanin concentrations, this research aims to provide a novel method for detecting lightly-pigmented …

Nonordered Dendritic Mesoporous Silica Nanoparticles As Promising Platforms For Advanced Methods Of Diagnosis And Therapies, S. Malekmohammadi, Riaz Ur Rehman Mohammed, H. Samadian, A. Zarebkohan, A. García-Fernández, G. R. Kokil, F. Sharifi, J. Esmaeili, M. Bhia, M. Razavi, M. Bodaghi, T. Kumeria, R. Martínez-Máñez

Department of Chemical and Biomolecular Engineering: Faculty Publications

Dendritic mesoporous silica nanoparticles (DMSNs) are a new generation of porous materials that have gained great attention compared to other mesoporous silicas due to attractive properties, including straightforward synthesis methods, modular surface chemistry, high surface area, tunable pore size, chemical inertness, particle size distribution, excellent biocompatibility, biodegradability, and high pore volume compared with conventional mesoporous materials. The last years have witnessed a blooming growth of the extensive utilization of DMSNs as an efficient platform in a broad spectrum of biomedical and industrial applications, such as catalysis, energy harvesting, biosensing, drug/gene delivery, imaging, theranostics, and tissue engineering. DMSNs are considered great …

Liquid-Phase Effects On Adsorption Processes In Heterogeneous Catalysis, Mehdi Zare, Mohammad S. Saleheen, Nirala Singh, Mark J. Uline, Muhammad Faheem, Andreas Heyden

Faculty Publications

Aqueous solvation free energies of adsorption have recently been measured for phenol adsorption on Pt(111). Endergonic solvent effects of ∼1 eV suggest solvents dramatically influence a metal catalyst's activity with significant implications for the catalyst design. However, measurements are indirect and involve adsorption isotherm models, which potentially reduces the reliability of the extracted energy values. Computational, implicit solvation models predict exergonic solvation effects for phenol adsorption, failing to agree with measurements even qualitatively. In this study, an explicit, hybrid quantum mechanical/molecular mechanical approach for computing solvation free energies of adsorption is developed, solvation free energies of phenol adsorption are computed, …

Novel 3d Bench Top Model For Vascular Calcification Research, Ursla-Marie K. Offiah

Theses and Dissertations

Cardiovascular disease is the leading cause of non-communicable disease in the whole world killing 17 million people in 2012. Among the many vascular diseases is vascular calcification (VC) which is the mineral build up in the walls of blood vessels. Medial calcification is the plaque buildup in the medial layer of the blood vesicle that is characterized by arterial stiffness and high blood pressure. Current calcification research involves two dimensional (2D) lab methods such as flat petri dishes to investigate the mechanism that causes and inhibits vascular calcification. Research has shown that the use of three-dimensional (3D) models can be …

Behavioral And Histological Inflammatory Analysis Of A Single, Mild Traumatic Brain Injury And Repeated Subconcussive Brain Injury Using A Rodent Model., Anna Marie Clay

Theses and Dissertations

Subconcussive (SC) impacts have become a growing concern within the neuroscience community regarding the immediate and long-lasting effects of sports-related injuries. While a single low-level impact, i.e., a subconcussion, may not cause cerebral perturbations, it has been increasingly recognized that repeated SC exposure can induce deleterious effects. Therefore, determining the lower limits of systematic perturbation resulting from multiple SC impacts is of critical importance in expanding our understanding of cerebral vulnerability and recovery. Currently, there is a lack of correlation between a mild traumatic brain injury (mTBI) and repeated SC impacts with respect to injury biomechanics. Moreover, the cumulative threshold …

Energy Consumption Analysis Using Measured Data From A Net-Zero Energy Commercial Building In A Cold And Dry Climate, Sukjoon Oh, John F. Gardner

Mechanical and Biomedical Engineering Faculty Publications and Presentations

Zero-energy buildings have a critical role in reducing global energy use and greenhouse gas emissions. However, few studies have analyzed net-zero energy commercial buildings using measured energy use such as whole-building level and end-use level data. This paper presents an energy consumption analysis for the first net-zero energy commercial building in Idaho, U.S., in a cold and dry climate using measured end-use data from this building as well as measured whole-building energy use. Monthly bill data analysis, end-use data analysis, and Energy Use Intensity (EUI) analysis were conducted. The combined analysis of this study shows that the HVAC system was …

Smart Spine Tape: Active Wearable Posture Monitoring For Prevention Of Low Back Pain And Injury, Samuel J. Borda

Master's Theses

Back pain and injury are a global health issue and are a leading cause of work and activity absence. Prevention would not only save those affected from the burden of pain and discomfort, but would also save people from loss of over 290 million workdays annually and save the healthcare system billions of dollars in expenses per year. Successful research and development of a wearable technology capable of comprehensively monitoring spinal postures that are leading causes of back pain and injury can result in prevention of mild to severe back pain and injury for high-risk people. To accomplish this, the …

Optimizing Crispr/Cas9-Mediated Knockdown Of Angptl3 In Liver Cell Lines And Mouse Hepatocytes, Meredith Reeves

All Theses

Familial hypercholesterolemia (FH) is a genetic condition characterized by elevated levels of low-density lipoprotein cholesterol (LDL-C) that leads to an increased risk of developing cardiac disease early in life (Shah et al., 2020). Current treatments such as statins and PCSK9 inhibitors have helped lower LDL-C levels, however they require repeated administration every 4-6 weeks to remain effective (Raal et al., 2018). Angiopoietin-like 3 (ANGPTL3) is an inhibitor of plasma lipid metabolism that has become a promising molecular target for the treatment of FH. Individuals with non-functional copies of ANGPTL3 demonstrate low levels of plasma LDL-C and triglycerides, indicating a protective …

Novel Nanoparticles To Stimulate Therapeutic Angiogenesis For The Treatment Of Peripheral Arterial Diseases, Tam Phung Nguyen

Bioengineering Dissertations - Archive

Peripheral arterial disease (PAD) is a severe impairment of arterial vessels resulting in obstruction of normal blood flow in the legs, leading to acute or chronic lower limb ischemia and subsequently high morbidity and mortality rates. Common treatments for PAD, such as medications and surgical revascularization, have several limitations. For instance, medications used to lower cholesterol, reduce high blood pressure, control blood sugar, prevent blood clots, and reduce/delay symptoms such as leg pains. Still, they cannot treat the established disease directly and often cause side-effects, including bleeding, headache, and diarrhea. Meanwhile, many elderly PAD patients cannot undergo surgical options. Therefore, …

Engineering Elastic And Functional Electrospun Nano-Fibers For Potential Heart Repair, Alan Mark Taylor

Bioengineering Dissertations - Archive

In the United States and around the world, cardiovascular disease (CVD) has been one of the main causes of death since 1921, responsible for approximately 1 in 4 deaths domestically. Myocardial infarction (MI), or commonly called a heart attack, is a subset of CVD that often ends in heart failure (HF). Cardiac cells are incapable of regeneration, leading to severe impacts on quality of life. Current treatments for MI fail to target left ventricular remodeling and therefore do little to address the progression towards HF. Cardiac scaffolds for tissue engineering (TE) are a prominent solution in recent research. Developing various …

Advancing The Radiation Oncology Clinic With Motion Management And Automatic Treatment Planning, Damon Anton Sprouts

Bioengineering Dissertations - Archive

The leading cause of premature death (death under the age of 70) is cancer. The top five cancers for both male and female are: lung, colorectum, pancreas, breast cancer, and prostate. In 2020 there was an estimated 19.3 million new cases with an estimated 9.9 million deaths. The cancer burden is expected to grow to 28.4 million by the year 2040. Surgery, chemotherapy, and radiotherapy are the three pillars in the modern clinic for cancer treatment. In radiotherapy, ionizing radiation particles can travel through the patient body, deposit energy along the way and damage the DNA Structure. There needs to …

Electrophysiological, Hemodynamic, And Metabolic Effects Of Transcranial Photobiomodulation (Tpbm) On Topographical And Physiological Connectivity In The Human Brain, Sadra Shahdadian

Bioengineering Dissertations - Archive

Transcranial photobiomodulation (tPBM) targets the human brain with near-infrared (NIR) light and is shown to affect human cognitive performance and neural electrophysiological activity as well as concentration changes of oxidized cytochrome-c-oxidase ([CCO]) and hemoglobin oxygenation ([HbO]) in human brain. Brain topographical connectivity, which shows the communication between regions of the brain, and its alteration can be assessed to quantify the effects of external stimuli, diseases, and cognitive decline, in resting-state or task-based measurements. Furthermore, understanding the interactions between different physiological representations of neural activity, namely electrophysiological, hemodynamic, and metabolic signals in the human brain, has been an important topic among …

Effect Of Dorsal Quadrant Or Ventral Quadrant Spinal Cord Injury On Gait Features During Locomotion., Anya Nicole Trell

Electronic Theses and Dissertations

In the Unites States, approximately 1.5 million people currently have a spinal cord injury and suffer permanent sensory and motor loss due to the disruption of the spinal cord. Due to the significant morbidity, it is vital to understand the functional impact of disrupting neural descending pathways that modulate spinal neurons involved in intermuscular coordination critical for gait behaviors. Tasks that are more difficult require additional input from these neural pathways; therefore, fourteen feline subjects were familiarized with level overground locomotion and stair descent gait tasks. After collection of baseline kinematic data, the subjects received either a dorsal or ventral …

Role Of Deep Learning Techniques In Non-Invasive Diagnosis Of Human Diseases., Hisham Abouelseoud Elsayem Abdeltawab

Electronic Theses and Dissertations

Machine learning, a sub-discipline in the domain of artificial intelligence, concentrates on algorithms able to learn and/or adapt their structure (e.g., parameters) based on a set of observed data. The adaptation is performed by optimizing over a cost function. Machine learning obtained a great attention in the biomedical community because it offers a promise for improving sensitivity and/or specificity of detection and diagnosis of diseases. It also can increase objectivity of the decision making, decrease the time and effort on health care professionals during the process of disease detection and diagnosis. The potential impact of machine learning is greater than …

Role Of Machine Learning In Early Diagnosis Of Kidney Diseases., Mohamed Nazih Mohamed Ibrahim Shehata

Electronic Theses and Dissertations

Machine learning (ML) and deep learning (DL) approaches have been used as indispensable tools in modern artificial intelligence-based computer-aided diagnostic (AIbased CAD) systems that can provide non-invasive, early, and accurate diagnosis of a given medical condition. These AI-based CAD systems have proven themselves to be reproducible and have the generalization ability to diagnose new unseen cases with several diseases and medical conditions in different organs (e.g., kidneys, prostate, brain, liver, lung, breast, and bladder). In this dissertation, we will focus on the role of such AI-based CAD systems in early diagnosis of two kidney diseases, namely: acute rejection (AR) post …

Restoring An Iso:5840-Compliant Pulse Duplicator Device For Hydrodynamic Performance Characterization Of Artificial Cardiac Valves, Denver Eagar

Biomedical Engineering Undergraduate Honors Theses

During the summer of 2021, I was employed as an intern at Dynatek Labs, an implantable prosthetics testing company located in southern Missouri. My primary project was to modernize an abandoned pulse duplicator device and protocol to allow the company to re-enter a market area which they left nearly 15 years prior: heart valve testing. The company halted this initiative due to changes in international testing standards in previous years. The International Standards Organization Cardiac Valves Working Group released the latest version of standards concerning artificial heart valve testing (ISO 5840) in January of 2021. Accordingly, my project required that …

A 3d Tissue Engineering Model To Study Mitral Valve Annulus Calcification Under Diabetic Conditions, Erin James

All Theses

The most complex heart valve is the mitral valve (MV). Many pathologies can affect the MV, including stenosis, regurgitation, prolapse, and mitral annulus calcification (MAC). MAC is chronic degeneration of the annulus, which is the fibrous, saddle-shaped “ring” that can contract and relax with the myocardium. The prevalence of MAC is around 15% but increases in patients with other cardiovascular diseases and risk factors. It is also thought to increase in patients with type 2 diabetes, but MAC has not been properly characterized within this population because of confounding factors such as cardiac disease and kidney disease. The goal of …

Soft Robotic Arms For Fall Mitigation: Design, Control And Evaluation, Param Malhotra

All Theses

Most fall mitigation devices present a heavy system that avoid injuries to the user by preventing the impact of a fall. They are dependent on the user capability or on the probability that the user falls in the assumed manner the system was designed for. Often that is not the case, hence this project initiates a novel concept of using soft robotic arms to prevent falls from happening in the first place itself and save the user from any injuries. This thesis describes the prototype and development of a soft continuum robotic backpack system. The system can validate its use …

Characterization Of Thermal Gelation Properties In Bioresorbable Thermally Activated Hydrogel Polymers For Hernia Surgery Applications, Alexander Mayfield

All Theses

Hydrogel adhesives are a new class of materials with excellent biocompatibility, which makes them very attractive for biomaterial applications. It has been previously shown that Tetronic T1107, a four-arm poly (propylene oxide)-poly (ethylene oxide) (PPO-PEO) block copolymer, is useful as a chemical crosslinking thermo-responsive hydrogel for bioadhesive applications. The end groups of this polymer are modified with acrylate and N-hydroxysuccinimide (NHS) functional groups. The acrylate end group gives the polymer cohesive properties with long-range chemical crosslinking using dithiothreitol (DTT), while the NHS end group gives the polymer adhesive properties through bonding with amines found in organic tissue. It was found …

The Development And Analysis Of Methods Used To Evaluate American Football Facemasks, Alexander Bina

All Dissertations

The motivation for this Ph.D. dissertation is to provide football equipment managers, coaches, parents, athletes, and relevant industry personnel with an understanding of the implication a chosen football facemask design will have on the safety of the athlete. As athletes have increased their capacity for speed, size, and strength, so too has the head injury risk increased in American football. To align with the increase in head impact injury in American football, the protective head impact community must expand its capacity to evaluate protective equipment systems. This dissertation focuses specifically on one helmet system component: the football facemask. This dissertation …

Tissue-Engineered Living Pulmonary Valve For Young Adult Patients, Erica Hoskins

All Theses

Cardiovascular disease (CVD) is a non-communicable disease responsible for 659,000 deaths annually in the United States. While CVD can affect all components of the cardiovascular system, heart valve disease is responsible for 25,000 deaths yearly. Of specific interest is the pulmonary valve since there is limited research on resolving pathologies that affect it. Like the aortic and mitral valves, common pathologies include stenosis, regurgitation, and atresia. Notably, the pulmonary valve requires repair and replacement in pediatric patients and young adults due to congenital disabilities. Even with technological advances in valve replacements, limitations still present themselves for use with younger patients …