Digital Commons Network^™

Understanding Battery Degradation And Failure With Impedance And Imaging Techniques, Megan F. Gober

Dissertations

With the increasing desire for fast charging capabilities in lithium-ion batteries due to the popularity of electric vehicles, research has recently been focused on increasing energy and power density while simultaneously revealing the need for improved understanding of degradation mechanisms to achieve the desired safety and fast charge performance. The work presented seeks to further understanding of mechanical, temperature, and electrochemical degradation mechanisms within varying battery chemistries and geometries through evaluation of impedance response and multiscale imaging techniques. First, in order to understand the limitations of mechanical and electrical integrity of battery systems, a combined application of impedance characterization and …

A Framework For Identifying Transit Deserts In Rural Areas With Demand-Response Transit Services, Agnes L. Barnwell

Dissertations

The primary objective of this research is to develop a comprehensive framework for identifying transit deserts in rural areas with Demand Response Transit (DRT) services. This framework will focus on marginalized rural areas in Alabama, providing a foundation for better understanding their transportation needs. The research gap regarding transit deserts in rural areas is significant. While the concept of transit deserts has been explored in urban settings, rural areas with DRT services remain largely under-researched. Addressing this gap is vital for establishing equitable access to transit services across rural areas. This research contributes to the existing body of literature in …

Nonlinear Dynamics Of Acoustic Fluctuations In One-Dimensional Ducts With And Without Unsteady Combustion, Swarnalatha Kathalagiri Vasantha Kumar

Dissertations

The overall objective of this research is to analyze the nonlinear dynamics of combustors in one dimensional Cartesian coordinate. This research was carried out in four parts, with each successive part building on the previous one. The first part begins with investigation of the coupled nonlinear evolution of acoustic modes in a quasi 1-D duct with axially inhomogeneous mean velocity and mean thermodynamic properties. A novel modification of the Krylov--Bogoliubov method of averaging (KBMA) is developed to analytically solve the modal-amplitude equations that are linearly and nonlinearly coupled with both quadratic and cubic nonlinearities. Approximate analytical solutions based on the …

Liner Implosion Of Magneto-Inertial Fusion Plasmas Across The Periodic Table, Brian Dale Taylor

Dissertations

The goal of achieving net energy production from fusion reactions would have many positive and transformational impacts upon society and is therefore of great interest. Magneto-Inertial Fusion may be a path to achieving the high energy density requirements. One possible method for reaching the necessary plasma conditions is through a z-pinch driving a magnetized liner to compress and heat the fusion fuel. Progress has been made through both modeling and experiment, largely through Sandia National Laboratories, in recent years in developing this process and achieving neutron yields in the range of 1013 neutrons per pulse. Magnetized liner z-pinch experiments have …

Analysis Of A Magnetically Enhanced Microwave Powered Split-Ring Resonator Plasma Source For Micropropulsion, Andrew Walsten

Dissertations

This work focuses on better understanding split-ring resonators (SRRs) as plasma devices and exploring their use as a plasma source in a two-stage Hall thruster. This is done by first studying the effect of a single versus a coupled SRR on plasma production. Through the use of simulations in ANSYS HFSS and Langmuir probe measurements, it is found that coupled SRRs result in a more uniform plasma at higher pressures due to the introduction of a secondary ionization point, and the electromagnetic coupling resulting in a slightly stronger electric field being produced at the primary gap. Experiments were also done …

Evaluating The Susceptibility Of The Lew.1wr1 Rat To Glucose Intolerance, Insulin Resistance, And Masld : Is Fat10 The Key?, Quiana Claudette Wilkerson Vidal

Dissertations

Obesity is an epidemic that affects over 40% of adults in America. Obesity can be divided into metabolically healthy and metabolically unhealthy obesity, with the latter being characterized by symptoms closely associated with metabolic syndrome, type 2 diabetes, and metabolic dysfunction-associated steatotic liver disease (MASLD). What causes the transition from metabolically healthy to metabolically unhealthy obesity is not fully known. Further, it is unclear how this transition correlates with the onset of co-morbid conditions. We propose that Ubiquitin D (FAT10) may play a role in transitioning into a metabolically unhealthy state in response to obesity. This dissertation evaluated two main …

Experimental Investigation Of Steady And Unsteady Effects Of A Circulation Control Wing With Spanwise Segmented Blowing, Tulasi Ram Vechalapu

Dissertations

Active Flow Control (AFC) techniques are a class of methods that improve aerodynamic efficiency by affecting the flow field through actuation or interaction to produce a desired change in flow behavior. Circulation control (CC), which is considered one of the most effective AFC methods, holds significant potential to enhance aircraft efficiency and has been researched for lift enhancement and boundary layer control, among other applications. However, its practical application has been constrained by high mass flow requirements and several unanswered questions in current research. A critical area of investigation is the interaction between trailing-edge blowing and 3D unsteady effects under …

The Role Of Surface Processes In Modulating Land-Sea Breeze Circulation : An Observational And Numerical Modeling Study In Java, Georgios Priftis

Dissertations

In the Maritime Continent (MC), sea and land breezes (SLB), shaped by its numerous islands, are key drivers of the tropical climate. Island morphology, terrain, land cover, and orientation relative to prevailing winds affect these breezes and associated convection. While research has largely focused on larger islands, smaller islands like Java remain understudied. Java features a mountainous chain with several gaps and experienced significant land use and land cover changes (∆LULC) over the past two decades. This dissertation aims to: 1) adapt observational methods to detect mesoscale boundaries in numerical models, 2) analyze the role of Java’s topography and cloud- …

Unveiling The Mechanisms Of Bromate Formation And Nom Treatment In Drinking Water Via Plasmon-Enhanced Catalytic Ozonation, Amir Ahmadi Zahrani

Dissertations

High energy consumption and the formation of harmful byproducts are significant challenges in advanced oxidation processes (AOPs). While much research has focused on improving treatment efficiency, controlling byproduct formation requires more attention. The focus of this dissertation is divided into three main focuses: Firstly, the underlying mechanism of bromate formation inhibition during a plasmon-enhanced catalytic ozonation (PE catalytic ozonation) process using silver-doped spinel ferrite (0.5wt%Ag/MnFe2O4) as the catalyst was investigated by scrutinizing the effects of each factors involved in PE catalytic ozonation including irradiation, catalyst, and ozone, both individually and in combination, on major bromine species involved in bromate formation. …

Nuclear Fission Rovers For Martian Exploration, Alexander Constantine Bendoyro

Dissertations

A comprehensive analysis was performed on the impact of embedding a Kilopower-style fission reactor into a pressurized rover on architectural performance for a sample lunar, Mars opposition, and Mars conjunction mission. The high gamma ray flux necessitated the addition of substantial shielding for the crew. A single material shielding analysis using the Taylor formulation revealed that varying the distance between the crew and the reactor core from 3 m to 6 m reduced the required shielding thickness by 7%. Increasing the power output of the reactor from 3.4 kWe (comparable to radioisotope power capability) up to 10 kWe (Kilopower design …

Physical Activity, Anxiety, Depression, And Coping In Turkish Men And Women During The First Wave Of Covid-19, Bijen Filiz, Funda Coşkun Özyol, Bengü Güven, Ezel Nur Korur, Yılmaz Yüksel, Cavit Işık Yavuz, Kele Ding, Jingzhen Yang, J. Larry Durstine Phd, Facsm, Faacvpr, Fnak, Ming-Kai Chin, Gıyasettin Demirhan

Faculty Publications

A need exists to better understand the relationships between COVID-19, coping behaviors, physical activity and stress, and COVID-19’s impact on way of life. A cross-sectional study design was used to examine adult physical activity, hope, depression, anxiety, and coping status by gender during the COVID-19 pandemic, and to determine the impact of these variables on the coping process. The study also examined the effect of gender on the relation between physical activity and dependent variables. A global survey instrument was used in this study, including 1,400 Turkish adults. This study identified significant gender-based differences regarding physical activity, hope, depression, anxiety, …

Teaching Analytics Online: A Self-Study Of Professional Practice, Andrew J. Collins, Brandon Butler, James F. Leathrum Jr., Christopher J. Lynch

Engineering Management & Systems Engineering Faculty Publications

As the COVID-19 pandemic caused severe disruption to education enterprises throughout the world, the main response by educational institutions was to move to online learning environments. The purpose of this study was to understand better how instructors could improve online learning for a professional-level week-long short course in a highly technical area (data analytics), which had, pre-COVID, been a hands-on computer, laboratory-based learning experience. The authors used self-study of professional practice to elicit and understand the major issues and concerns of the transition to an online learning environment. Under the guidance of a colleague in teacher education, three course instructors …

Abmscore: A Heuristic Algorithm For Forming Strategic Coalitions In Agent-Based Simulation, Andrew J. Collins, Gayane Grigoryan

Engineering Management & Systems Engineering Faculty Publications

Integrating human behavior into agent-based models has been challenging due to its diversity. An example is strategic coalition formation, which occurs when an individual decides to collaborate with others because it strategically benefits them, thereby increasing the expected utility of the situation. An algorithm called ABMSCORE was developed to help model strategic coalition formation in agent-based models. The ABMSCORE algorithm employs hedonic games from cooperative game theory and has been applied to various situations, including refugee egress and smallholder farming cooperatives. This paper discusses ABMSCORE, including its mechanism, requirements, limitations, and application. To demonstrate the potential of ABMSCORE, a new …

Methods That Support The Validation Of Agent-Based Models: An Overview And Discussion, Andrew Collins, Matthew Koehler, Christopher Lynch

Engineering Management & Systems Engineering Faculty Publications

Validation is the process of determining if a model adequately represents the system under study for the model’s intended purpose. Validation is a critical component in building the credibility of a simulation model with its end-users. Effectively conducting validation can be a daunting task for both novice and experienced simulation developers. Further compounding the difficult task of conducting validation is that there is no universally accepted approach for assessing a simulation. These challenges are particularly relevant to the paradigm of Agent-Based Modeling and Simulation (ABMS) because of the complexity found in these models’ mechanisms and in the real-world situations they …

Advancing Household Robotics: Deep Interactive Reinforcement Learning For Efficient Training And Enhanced Performance, Arpita Soni, Sujatha Alla, Suresh Dodda, Hemanth Volikatla

Engineering Management & Systems Engineering Faculty Publications

The market for domestic robots—made to perform household chore, is growing as these robots relieve people of everyday responsibilities. Domestic robots are generally welcomed for their role in easing human labour, in contrast to industrial robots, which are frequently criticised for displacing human workers. But before these robots can carry out domestic chores, they need to become proficient in a number of minor activities, such as recognizing their surroundings, making decisions, and picking up on human behaviours. Reinforcement learning, or RL, has emerged as a key robotics technology that enables robots to interact with their environment and learn how to …

Predicting The Need For Cardiovascular Surgery: A Comparative Study Of Machine Learning Models, Arman Ghavidel, Pilar Pazos, Rolando Del Aguila Suarez, Alireza Atashi

Engineering Management & Systems Engineering Faculty Publications

This research examines the efficacy of ensemble Machine Learning (ML) models, mainly focusing on Deep Neural Networks (DNNs), in predicting the need for cardiovascular surgery, a critical aspect of clinical decision-making. It addresses key challenges such as class imbalance, which is pivotal in healthcare settings. The research involved a comprehensive comparison and evaluation of the performance of previously published ML methods against a new Deep Learning (DL) model. This comparison utilized a dataset encompassing 50,000 patient records from a large hospital between 2015-2022. The study proposes enhancing the efficacy of these models through feature selection and hyperparameter optimization, employing techniques …

Role Of Occupational Therapy Assessment And Office Ergonomics To Support Students With Accommodations In Higher Learning: A Narrative Review, Behdin Nowrouzi-Kia, Christi Tam, Raabia Khan, Bushra Alam, Sujatha Alla

Engineering Management & Systems Engineering Faculty Publications

Postsecondary students with disabilities (SWDs) face significant challenges to their academic and personal well-being. There is a demand for more supportive strategies to facilitate fulfilling and equitable academic experiences for SWDs. This review aimed to (1) determine the effectiveness of various interventions, programs, and accommodations for enhancing the overall well-being of postsecondary SWDs and (2) evaluate the implications of these support strategies for disability service providers at postsecondary institutions. A narrative review was conducted, examining 13 studies aimed at enhancing the well-being of postsecondary SWDs. Studies were classified using the International Classification of Functioning, Disability and Health (ICF) Model. Ergonomics, …

A Generative Approach For Document Enhancement With Small Unpaired Data, Mohammad Shahab Uddin, Wael Khallouli, Andres Sousa-Poza, Samuel Kovacic, Jiang Li

Engineering Management & Systems Engineering Faculty Publications

Shipbuilding drawings, crafted manually before the digital era, are vital for historical reference and technical insight. However, their digital versions, stored as scanned PDFs, often contain significant noise, making them unsuitable for use in modern CAD software like AutoCAD. Traditional denoising techniques struggle with the diverse and intense noise found in these documents, which also does not adhere to standard noise models. In this paper, we propose an innovative generative approach tailored for document enhancement, particularly focusing on shipbuilding drawings. For a small, unpaired dataset of clean and noisy shipbuilding drawing documents, we first learn to generate the noise in …

Integrative Machine Learning Approaches For Enhanced Classification Of Genomic Sequences: A Next-Generation Sequencing Perspective, Sujatha Alla, Nagesh Bheesetty, Sai Gireesh Komaragiri, Prasanthi Chidipudi, Joshit Mohanty, Sathish Kumar Chintala, Jubin Thomas, Jayapal Vummadi, Hemanth Volikatla, Navin Kamuni

Engineering Management & Systems Engineering Faculty Publications

The advent of Next-Generation Sequencing (NGS) techniques has revolutionized genomic research by enabling the rapid sequencing of DNA and RNA. This data can be used for various applications, including genome sequencing, transcriptome profiling, metagenomics, and epigenetics studies. For this study, DNA classifier dataset was extracted from UCI repository of machine learning databases. This vast amount of genomic data necessitates the development of sophisticated machine learning (ML) models for effective classification and analysis. This study presents a comprehensive comparison of various ML models, including Support Vector Machines (SVM), Random Forests (RF), and Neural Networks (NNs), approaches, in classifying genomic data. We …

Reinforcement Learning For Optimal Kicking Actions In Humanoid Robotics: Advancing Robotic Autonomy And Versatility, Suresh Dodda, Sathish Kumar Chintala, Sukender Reddy Mallreddy, Sharath Chandra Macha, Yashwanth Vasa, Sapan Bharadwaj Bonala, Navin Kamuni, Sujatha Alla

Engineering Management & Systems Engineering Faculty Publications

Acquiring the necessary skills to perform a work effectively and efficiently requires a significant investment of time and computing power. Previous applications of Reinforcement Learning (RL) for action optimization in humanoid robotics have shown how promising this technology is for moving robotics towards true autonomy and versatility. Therefore, this study offers the first use of RL to create an entirely optimal kicking action for the Alderbaran Nao robot. Kicking motions that were steady, precise, quick, and able to kick farther than any existing RoboCup squad were generated by optimizing for a multi-objective reward function. We demonstrate that the ideal kicking …

Data Driven Trade-Off Analysis For Cybersecurity, Goskel Kucukkaya, Murat Ozer, Murat Balci, Emrah Ugurlu

Engineering Management & Systems Engineering Faculty Publications

Trade-off analysis, a specialization of systems engineering, addresses design criteria like security, cost, performance, and compliance. Monte Carlo simulations are commonly employed to generate impact scenarios for trade-off analysis combined with solution alternatives that accommodate industry-specific considerations and uncertainties. In the cyber domain, this paper proposes a methodology for data-driven trade-off analysis in cybersecurity, leveraging industry reports as primary data sources using confidentiality, integrity, and availability as trade-off analysis objectives. Distribution functions are derived to manage and model uncertainties for various industries. The approach given in this study aims to facilitate informed choices and to enhance cybersecurity decision making and …

Conflict Profiles And Team Outcomes In Cross-Disciplinary Teams: An Integrated Latent Profile Analysis And Natural Language Processing Approach, Francisco Cima, Pilar Pazos

Engineering Management & Systems Engineering Faculty Publications

Team conflict is a naturally emerging phenomenon resulting from individuals' interactions during project execution. Cross-disciplinary teams can experience higher levels of conflict than single-discipline teams because of the increased diversity of knowledge and perspectives. Research has shown that team conflict can emerge from different types of disagreements (cognitive and interpersonal), which have different implications for team functioning. Past empirical research has focused on the impact of both conflict types independent from each other while overlooking their combined effects. This work examines the conflict profiles resulting from the combined levels of interpersonal and cognitive disagreements and their association with team outcomes. …

Asem 4.0/5.0 - Evolving The Engineering Management Profession Through Industry 4.0/5.0 Collaborative Networks, T. Steven Cotter, Faisal Mahmud, Ziniya Zahedi

Engineering Management & Systems Engineering Faculty Publications

The American Society for Engineering Management was created and matured under Industry 3.0 automation. The emergence of Industry 4.0 and 5.0 are forcing all organizational sectors to rethink their long-term strategy with respect to emerging horizontal/vertical cyber-physical systems integration. This leaves open the question of the directions in which ASEM should evolve into the 21st century. This paper reports an initial mapping of Industry 4.0 and 5.0 technologies and initiatives as goal-oriented, long-term strategic collaborative networks. The research method began with the Boston Consulting Group nine technologies of Industry 4.0 (2015) and the Industry 5.0 technologies within its human-centric, sustainability, …

Advances In Nanoprobes For Molecular Mri Of Alzheimer’S Disease, Parag Parekh, Andrew A Badachhape, Eric A Tanifum, Ananth V Annapragada, Ketan B Ghaghada

Faculty, Staff and Students Publications

Alzheimer's disease is the most common cause of dementia and a leading cause of mortality in the elderly population. Diagnosis of Alzheimer's disease has traditionally relied on evaluation of clinical symptoms for cognitive impairment with a definitive diagnosis requiring post-mortem demonstration of neuropathology. However, advances in disease pathogenesis have revealed that patients exhibit Alzheimer's disease pathology several decades before the manifestation of clinical symptoms. Magnetic resonance imaging (MRI) plays an important role in the management of patients with Alzheimer's disease. The clinical availability of molecular MRI (mMRI) contrast agents can revolutionize the diagnosis of Alzheimer's disease. In this article, we …

Generation And Characterization Of In Vitro Transcribed Mrna, Cristina Poveda, Yi-Lin Chen, Ulrich Strych

Faculty, Staff and Students Publications

Here we describe the in vitro preparation of mRNA from DNA templates, including setting up the transcription reaction, mRNA capping, and mRNA labeling. We then describe methods used for mRNA characterization, including UV and fluorescence spectrophotometry, as well as gel electrophoresis. Moreover, characterization of the in vitro transcribed RNA using the Bioanalyzer instrument is described, allowing a higher resolution analysis of the target molecules. For the in vitro testing of the mRNA molecules, we include protocols for the transfection of various primary cell cultures and the confirmation of translation by intracellular staining and western blotting.

Management Advice For Patients With Reflux-Like Symptoms: An Evidence-Based Consensus, A Pali Hungin, Rena Yadlapati, Foteini Anastasiou, Albert J Bredenoord, Hashem El Serag, Pierluigi Fracasso, Juan M Mendive, Edoardo V Savarino, Daniel Sifrim, Mihaela Udrescu, Peter J Kahrilas

Faculty, Staff and Students Publications

Patients with reflux-like symptoms (heartburn and regurgitation) are often not well advised on implementing individualised strategies to help control their symptoms using dietary changes, lifestyle modifications, behavioural changes or fast-acting rescue therapies. One reason for this may be the lack of emphasis in management guidelines owing to 'low-quality' evidence and a paucity of interventional studies. Thus, a panel of 11 gastroenterologists and primary care doctors used the Delphi method to develop consolidated advice for patients based on expert consensus. A steering committee selected topics for literature searches using the PubMed database, and a modified Delphi process including two online meetings …

It Is Time To Screen For Homozygous Familial Hypercholesterolemia In The United States, Samuel S Gidding, Christie M Ballantyne, Marina Cuchel, Sarah De Ferranti, Lisa Hudgins, Allison Jamison, Mary P Mcgowan, Amy L Peterson, Robert D Steiner, Melissa K Uveges, Yunshu Wang

Faculty, Staff and Students Publications

Homozygous familial hypercholesterolemia (HoFH) is an ultra-rare inherited condition that affects approximately one in 300,000 people. The disorder is characterized by extremely high, life-threatening levels of low-density lipoprotein (LDL) cholesterol from birth, leading to significant premature cardiovascular morbidity and mortality, if left untreated.

Homozygous familial hypercholesterolemia is severely underdiagnosed and undertreated in the United States (US), despite guidelines recommendations for universal pediatric lipid screening in children aged 9–11. Early diagnosis and adequate treatment are critical in averting premature cardiovascular disease in individuals affected by HoFH. Yet, an unacceptably high number of people living with HoFH remain undiagnosed, misdiagnosed, and/or receive …

Anemia, Iron Deficiency, And Cause-Specific Mortality: The Atherosclerosis Risk In Communities Study, Ethan J Cannon, Jeffrey R Misialek, Leo F Buckley, Iman A F Aboelsaad, Christie M Ballantyne, John Leister, James S Pankow, Pamela L Lutsey

Faculty, Staff and Students Publications

Introduction: Anemia is a risk factor for all-cause mortality in older adults. Iron deficiency may also be associated with adverse outcomes, independent of its role in causing anemia. This study tested the hypotheses that anemia, and low ferritin among non-anemic participants, were associated with all-cause and cause-specific mortality in a community-based cohort of older adults.

Methods: Fasting blood was obtained from 5,070 ARIC participants (median age: 75 years) in 2011-2013. Anemia was defined by hemoglobin concentrations < 12 g/dL in women and < 13 g/dL in men. We classified 4,020 non-anemic participants by quartiles of plasma ferritin, measured by the SomaScan proteomics platform. Cox proportional hazards regression was used. Mortality was ascertained via phone calls with proxies as part of twice-yearly cohort follow-up, surveillance of local hospital discharge indexes, state death records, and linkage to the National Death Index.

Results: Of the total participants, 21% had anemia at baseline. Over a median of 7.5 years, there were 1,147 deaths, including 357 due to …

Diagnostic Accuracy Of Urinary N Terminal Pro-B Type Natriuretic Peptides For Hemodynamically Significant-Patent Ductus Arteriosus In Preterm Infants, Srirupa Hari Gopal, Ganga Gokulakrishnan, Madhulika Kulkarni, Caraciolo J Fernandes, Mohan Pammi

Faculty, Staff and Students Publications

Background: Echocardiography is the gold standard for the diagnosis hemodynamically significant-patent ductus arteriosus (hs-PDA). It requires trained personnel and is not readily available. Urinary biomarkers can be used as an adjunct.

Objective: The objective of this study was to systematically review the diagnostic accuracy of urinary N terminal pro-B type natriuretic peptides (NT-proBNP) for hs-PDA in preterm neonates.

Methods: We included studies that evaluated urinary NT-proBNP and urinary NT-proBNP/creatinine ratio (index tests) in preterm neonates with hs-PDA (participants) in comparison with echocardiogram (reference standard). Methodological quality and certainty of evidence were assessed using Quality Assessment of Diagnostic-Accuracy Studies (QUADAS-2) and …

Physical Violence And Aggression In Parkinson's Disease: A Systematic Review, Melissa B Jones, Lakeshia Gibson, Malena Gimenez-Zapiola, Ana Guerra, Gursimrat Bhatti, Dakota Broadway, Juliann Tea, Aksa Prasad, Rachel Gates, Elizabeth Hinton, Ricardo E Jorge, Laura Marsh

Faculty, Staff and Students Publications

Background: Physical violence and aggression (PVA), defined as behaviors with the potential to cause bodily injury, are unfortunate risks in the management of all-cause neurodegenerative dementias. While dementia in Parkinson's disease (PD) may not be evident for many years after clinical onset, neuropsychiatric disturbances occur at all stages of the disease. At issue is whether PVA in PD is associated with clinical factors that can be targets for prevention and management in the absence of a prevailing dementia syndrome.

Objective: This systematic review examined the extent to which PVA in PD without dementia is a clinically significant concern and whether …