Digital Commons Network^™

Deep Reinforcement Learning-Based Digital Twin For Risk Improved Decision Making In Transportation Construction, Yong-Cheol Lee, Anisha Deria

Publications

Organizing and overseeing a large number of transportation construction and maintenance projects that generally entail several miles of a worksite are a critical burden for each DOT. In addition, it requires manual monitoring of a project or construction managers to identify a progress status, a work activity, and a safety issue in a job site. Because of the projected huge volume, complexity, significant impacts of future transportation infrastructure projects, it is evident that we are now facing a critical need to create a means of improving the results of work zone management and evaluating their impacts on our society. In …

The Effect Of Covid-19 Lockdown On Traffic Crashes In Texas., Hatim Sharif, Samer Dessouky

Publications

An analysis of traffic patterns during COVID-19 has identified that reduction in the miles traveled has a significant negative correlation with COVID-19 cases and deaths across the USA. Preliminary statistics in the US suggest an increase in fatal crashes over the period of the lockdown in comparison to the same period in previous years. Moreover, while total crashes are down, motor vehicle crashes involving non-motorists became more prevalent. At the same time, non-motorist traffic has increased while motor vehicle traffic and crashes have shifted to the local systems. The main goal of this research is to perform a comprehensive evaluation …

Removal Of Phosphorous, Copper And Zinc From Stormwater Using Powdered Activated Carbon (Pac) Based Water Treatment Residuals, Foysol Mahmud

Electronic Theses and Dissertations

The main aim of this research was to evaluate the efficacy of Powdered Activated Carbon (PAC) based water treatment residual (WTR) in eliminating phosphorus (P), Copper (Cu), and Zinc (Zn) from stormwater. The characteristics of the PAC WTR were analyzed, and a series of batch and column tests were conducted to determine its capacity to remove P, Cu, and Zn from stormwater and synthetic solutions. The PAC WTR conformed to the Langmuir isotherm model, demonstrating P adsorption capacities of 3.51 mg/g at pH 5. Regarding Cu and Zn removal, the PAC WTR also adhered to the Langmuir isotherm model, showing …

Evaluation Of Nutrient Removal From Modified Woodchips And Organic Matter Leached From Tree Leaves After Simulated Wildfire Thermal Alteration, Zengyue Wang

Electronic Theses and Dissertations

Nonpoint source pollution (NPS) from stormwater runoff, carrying a variety of contaminants, presents substantial challenges to water treatment processes and public health. Among the primary pollutants, phosphate and nitrate significantly contribute to the degradation of water quality, resulting in issues such as eutrophication and methemoglobinemia. Tree leaves, which are a major source of dissolved organic carbon (DOC) in forested watersheds and serve as a key fuel for wildfires, further exacerbate these challenges. Post-wildfire, the altered DOC is mobilized by precipitation, leading to stormwater runoff that impacts natural water bodies and complicates treatment processes, particularly through the formation of hazardous disinfection …

Computational Characterization Of Extracellular Electro-Osmotic Flow During Tissue Repair, Ashley Jorgensen-Blocker

Electronic Theses and Dissertations

Electrical stimulation (ES) therapy promotes the healing of chronic epidermal wounds and suppresses the degeneration of articular cartilage. Despite the success of ES therapy, the underlying mechanisms by which ES promotes tissue repair are largely unknown, preventing the standardization and optimization of treatments. One proposed mechanism involves electro-osmotic flow (EOF), electrically driven water flow generated within close proximity to the cell surface. EOF induces the transport of macromolecules and removes metabolic wastes and inflammatory molecules from these dense tissues through interstitial flow. This dissertation investigates the application of weak electric fields (EFs) to non-excitable cells and the generation of EOF …

Electromechanical Mapping Of The In Vivo Porcine Heart And Stomach, Haley Nesmith Patton

All ETDs from UAB

Electrical excitation and mechanical function are integral to the physiologic activity of both the heart and stomach. Electrical depolarization through the myocardium triggers contraction in the heart. When normal sequences of electrical activity are disturbed, the heart’s mechanical function may also be disturbed, affecting its ability to pump blood effectively, sometimes fatally. Similarly, electrical waves called slow waves initiate gastric peristalsis. Abnormalities in slow wave propagation patterns can disturb the stomach’s ability to mechanically process gastric contents, sometimes resulting in delayed gastric emptying, nausea, and vomiting. The relationship between mechanical function and electrophysiology is not unidirectional, though. Mechanical stimuli can …

3d Microtissue Model Of The Aged Ovarian Tumor Microenvironment, Peyton Clark

All ETDs from UAB

Ovarian cancer is the 5th leading cause of cancer deaths for women, primarily due to treatment resistant and/or recurrent disease. Most cases of ovarian cancer are not diagnosed until distant metastases have formed, which drastically reduces overall survival. The median age at diagnosis is 63 and most cases occur in patients who are peri- and post-menopausal. There is a critical gap between the clinical presentation of ovarian cancer and the preclinical models used to study the disease. Most preclinical in vivo investigations use mice who are between 6 and 12 weeks old, which corresponds to roughly a 20-year-old human. Therefore, …

Comparative Enzymatic Analysis Of Different Isoforms Of Group A Streptococcal Bacteriophage H4489a Hyaluronidase, Urvi Prakash Rawal

All ETDs from UAB

The Hyaluronate Lyase derived from Group A streptococcal bacteriophage H4489A gene (HylP) is known for cleaving the glycosidic bonds of high molecular weight hyaluronic acid (HMWHA), a substance often overexpressed in certain types of cancer cells. This enzymatic action produces HA oligosaccharides. Previous research, conducted by our team, has demonstrated that these oligosaccharides play a significant role in reducing the invasion, migration, and proliferation of breast cancer cells. This effect occurs through the disruption of Erk1/2 activation and RhoA expression. This bacteriophage hyaluronate lyase (HylP), a 40kDa protein, possesses a unique collagen-like sequence, consisting of 30 amino acids in a …

Physiologically Relevant Cardiac Tissue Chips For Cardiovascular Disease Modeling, Sachin Budhathoki

All ETDs from UAB

Despite significant advances in our understanding of the molecular basis of cardiovascular diseases (CVD) and the development of new therapeutics, it remains the number one cause of death worldwide, particularly affecting the aging population. This necessitates the development of models that can more accurately recreate aspects of aging and the interaction of the heart with other organs and systems in the body, including the immune system. Tissue chip models are being increasingly considered for studying cardiac diseases as they can potentially address translational hurdles associated with animal models, yet several challenges hinder their full potential. These include a lack of …

Towards Pragmatic Temporal Alignment In Stateful Generative Ai Systems: A Configurable Approach, Kaushik Roy, Yuxn Zi, Amit Sheth

Publications

Temporal alignment in stateful generative artificial intelligence (AI) systems remains an underexplored area, particularly beyond goal-driven approaches in planning. Stateful refers to maintaining a persistent memory or “state” across runs or sessions. This helps with referencing past information to make system outputs more contextual and relevant. This position paper proposes a framework for temporal alignment with several configurable toggles. We present four alignment mechanisms: knowledge graph path-based, neural score-based, vector similarity-based, and sequential process-guided alignment. By offering these interchangeable approaches, we aim to provide a flexible solution adaptable to complex and real-world applications. This paper discusses the potential benefits and …

Adaptive Metric-Driven Load Balancing For Specialized Clusters Using Nginx, Juhi Raju Malkani

Master's Projects

Adaptive Metric-Driven Load Balancer is an innovative two-tier load-balancing system that uses NGINX and Prometheus to optimize resource allocation in specialized cloud clusters. This framework is built to give great performance and flexibility and runs on Google Kubernetes Engine (GKE), but it may also be deployed on local cloud environments for added security. The first tier of our system uses an NGINX-based load balancer to route incoming requests based on content type, sending traffic to hardware-optimized clusters for processing requests through specialized hardware. In our algorithm, the second tier dynamically modifies load distribution throughout each cluster by calculating pod weights …

Near Infrared Upconversion Nanoparticles Modified With Semiconducting Polymers For Anti-Counterfeiting, Abraham Chibuikem Ikeji

Dissertations and Theses

Lanthanide doped up-conversion nanoparticles (UCNPs) are excellent luminescent materials due to their ability to perform photon up-conversion from low energy to high energy using their triplet energy metastable states and because of their long-lived excited state. These properties enable multiple applications with the near infrared upconversion emission. They have been incorporated in developing technologies to help curb counterfeiting activities and other areas of research. However, they still have some limitations such as the hydrophobic nature of the UCNPs, and the absence of functional groups that can also help impact other desired features. Thus, in this work we have coated up-conversion …

Advancements In Sarcoma- And Nerve-Specific Fluorescence Imaging For Surgical Guidance, Kendra A. Hebert

Dartmouth College Master’s Theses

Fluorescence guided surgery (FGS) is an evolving field that aims to improve patient outcomes by using fluorophores to identify important tissues during surgery, such as tumors and nerves. In this thesis work, we explored different methods of identifying nerve and tumor tissues for FGS and a novel fluorescence-based method to determine the depths of these structures.

Researchers have explored using fluorescence guided surgery for surgical resection of cancerous tissues, including recent work by our group focusing on identifying soft tissue sarcomas with ABY-029, an epidermal growth factor receptor targeting probe. However, our preclinical and clinical work shows no single reporter …

Learned Modeling And Control Of Continuum Robots For Surgical Applications, Cameron Jack Wolfe

Dartmouth College Master’s Theses

To reduce morbidity and mortality during surgery, surgeons have increasingly turned to Minimally Invasive Surgery (MIS), which involves passing instruments through small incisions or natural orifices to minimize patient trauma. Although MIS has significantly improved patient outcomes, it hinders a surgeon's dexterity and impairs visual and tactile feedback. These deficiencies have prompted the adoption of Robot-Assisted Surgery (RAS), in which surgeons control robots instead of using handheld instruments. While RAS has improved patient outcomes, robots struggle to navigate constricted spaces due to their rigidity, spurring the development of Continuum Robots (CRs). These flexible infinite degree-of-freedom robots move by bending, allowing …

Tailored Micromagnet Sorting Gate For Simultaneous Multiple Cell Screening In Portable Magnetophoretic Cell-On-Chip Platforms, Jonghwan Yoon, Yumin Kang, Hyeonseol Kim, Abbas Ali, Keonmok Kim, Sri Ramulu Torati, Mi-Young Im, Changyeop Jeon, Byeonghwa Lim, Cheolgi Kim

Center for Bioelectronics Publications

Conventional magnetophoresis techniques for manipulating biocarriers and cells predominantly rely on large-scale electromagnetic systems, which is a major obstacle to the development of portable and miniaturized cell-on-chip platforms. Herein, a novel magnetic engineering approach by tailoring a nanoscale notch on a disk micromagnet using two-step optical and thermal lithography is developed. Versatile manipulations are demonstrated, such as separation and trapping, of carriers and cells by mediating changes in the magnetic domain structure and discontinuous movement of magnetic energy wells around the circumferential edge of the micromagnet caused by a locally fabricated nano-notch in a low magnetic field system. The motion …

A Political Theory Of Engineered Systems And A Study Of Engineering And Justice Workshops, Dominic David Carrese

Dartmouth College Master’s Theses

Since there are good reasons to think that some engineered systems are socially undesirable—for example, internal combustion engines that cause climate change, algorithms that are racist, and nuclear weapons that can destroy all life—there is a well-established literature that attempts to identify best practices for designing and regulating engineered systems in order to prevent harm and promote justice. Most of this literature, especially the design theory and engineering justice literature meant to help guide engineers, focuses on environmental, physical, social, and mental harms such as ecosystem and bodily poisoning, racial and gender discrimination, and urban alienation. However, the literature that …

Reevaluating The Paradox: Does Low-Dose Radiation From A-Bombs Affect Lifespan And Cancer Mortality?, Razieh Rashidfar, Zeynab Seyedi Sarhad, Seyed Mohammad Javad Mortazavi, Lembit Sihver

Informatics and Engineering Systems Faculty Publications

No abstract provided.

Removal Of Pfoa/Pfos In Water Using Electrocoagulation And Associated Life Cycle Impacts And Financial Costs, Tianhong Mu

Electronic Theses & Dissertations (2024 - present)

Electrocoagulation (EC) with a zinc anode demonstrated promising results to remove perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) from an aqueous solution. However, the energy requirement for EC is usually very high due to water electrolysis or aeration. The second chapter of this dissertation aims to reduce energy consumption using an air-cathode in EC (ACEC) to supply oxygen electron acceptor without aeration for attenuating PFOA/PFOS in this new configuration. For the high PFOA concentration (0.25 mM), ACEC with 45 min of the reaction time exhibited an excellent PFOA removal (99.8 ± 0.3% removal) comparable to an EC with aeration (EC-aeration, …

Causal Neuro-Symbolic Ai: A Synergy Between Causality And Neuro-Symbolic Methods, Utkarshani Jaimini, Cory Henson, Amit Sheth

Publications

Causal Neuro-Symbolic AI combines the benefits of causality with Neuro-Symbolic Artificial Intelligence (NeSyAI). More specifically, it (1) enriches NeSyAI systems with explicit representations of causality, (2) integrates causal knowledge with domain knowledge, and (3) enables the use of NeSyAI techniques for causal AI tasks. The explicit causal representation yields insights that predictive models may fail to analyze from observational data. It can also assist people in decision-making scenarios where discerning the cause of an outcome is necessary to choose among various interventions.

Ontolog Summit 2024 Talk Report: Healthcare Assistance Challenges-Driven Neurosymbolic Ai, Kaushik Roy

Publications

Although Artificial Intelligence technology has proven effective in providing healthcare assistance by analyzing health data, it still falls short in supporting decision-making. This deficiency largely stems from the predominance of opaque neural networks, particularly in mental health care AI applications, which raise concerns about their unpredictable and unverifiable nature. This skepticism hinders the transition from information support to decision support. This presentation will explore neurosymbolic approaches that combine neural networks with symbolic control and verification mechanisms. These approaches aim to unlock AI’s full potential by enhancing information analysis and decision-making support for healthcare assistance1.

Neurosymbolic Customized And Compact Copilots, Kaushik Roy, Megha Chakraborty, Yuxin Zi, Manas Gaur, Amit Sheth

Publications

Large Language Models (LLMs) are credible with open-domain interactions such as question answering, summarization, and explanation generation [1]. LLM reasoning is based on parametrized knowledge, and as a consequence, the models often produce absurdities and inconsistencies in outputs (e.g., hallucinations and confirmation biases) [2]. In essence, they are fundamentally hard to control to prevent off-the-rails behaviors, are hard to fine-tune, customize for tailored needs, prompt effectively (due to the “tug-of-war” between external and parametric memory), and extremely resource-hungry due to the enormous size of their extensive parametric configurations [3,4]. Thus, significant challenges arise when these models are required to perform …

A Comprehensive Survey On Rare Event Prediction, Chathurangi Shyalika Jayakody Kankanamalage, Ruwan Wickramarachchi, Amit Sheth

Publications

Rare event prediction involves identifying and forecasting events with a low probability using machine learning (ML) and data analysis. Due to the imbalanced data distributions, where the frequency of common events vastly outweighs that of rare events, it requires using specialized methods within each step of the ML pipeline, i.e., from data processing to algorithms to evaluation protocols. Predicting the occurrences of rare events is important for real-world applications, such as Industry 4.0, and is an active research area in statistics and ML. This paper comprehensively reviews the current approaches for rare event prediction along four dimensions: rare event data, …

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 …

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 …

Environmental Sustainability, Healthcare Workers And Healthcare Students: A Literature Review Of Attitudes And Learning Approaches, Pamela R. Mccauley, Kavita Mathur, Reza Kamali Miab, Nina Cohen, Kedena Henriques-Thompson, Jyo Gopinath

Health Professions Education

Purpose: Today, increased attention has been placed on the healthcare industry and its workers in the wake of the global COVID-19 pandemic. Increases in facemask production, personal protective equipment, and the number of patients admitted into hospitals have resulted in a sharp rise in medical waste and environmental concerns. This has led to a greater interest by the research community to study the type of training and education that healthcare workers and students receive which could facilitate the implementation of sustainability activities during their work.

Design/Methodology: We have conducted a literature review (2010 to 2024) on healthcare worker …

Development Of Halalan Tayyiban Plant-Based Cheese Formulations, Hasna B. Mazalana, Mas M. Rambli, Syazana A. Lim, Beston F. Nore

ASEAN Journal on Science and Technology for Development

The worldwide cheese production is dominated by animal milk sources with various industrial procedures, including animal rennet. There is a need to diversify the animal-based dairy products into plant-based one, not only to nurture the halalan tayyiban concept for Muslims, but also to accommodate the dietary restriction of some consumers. The objective of this work is to formulate a cheese type derived from plant-based milk with permissible ingredients to create a product for Muslim and non-Muslim consumers. In this study, we explored the use of conventional and non-conventional cheese-making procedures. A total of four experimental formulations (EF1-4) combinations were conducted …

One-Pot Microwave-Assisted Approach Of Polydiacetylene/Zinc Oxide Nanocomposite For Reversible Thermochromic, Chanita Khanantong, Thanutpon Srinopkun, Thitirut Boonmak, Jintana Siriboon

Journal of Metals, Materials and Minerals

This study introduces a new technique to fabricate the reversible poly(PCDA/ZnO) nanocomposites thermochromism. Our preparation process is the solution-mixing method, which is supported by microwave synthesis time instead of ultrasonic bath or stirrer. The presence of ethanol molecules in aqueous media in the solution-mixing method induces dipolar polarization. In addition, the presence of Zn2+ leaking out of the ZnO can produce ionic polarization. These factors affect the shape of poly(PCDA/ZnO) nanocomposites based on their thermochromic properties. The optical properties of poly(PCDA/ZnO) nanocomposite were determined through UV-Vis absorption spectroscopy. The morphology of this nanocomposite was examined by scanning electron microscopy, and …

Optimization Of Ultrasound-Assisted Anthocyanin Extraction From Agricultural Waste Purple Corn Silk For Multifunctional Hemp Finishes, Benjamas Klaykruayat, Nattaya Vuthiganond, Pisutsaran Chitichotpanya

Journal of Metals, Materials and Minerals

The utilization of agricultural wastes for textile dyeing has gained popularity due to their safe and environmentally friendly properties, as well as the resource sustainability. Natural dye extraction is usually achieved through solvent extraction, which is time-consuming, requires a lot of solvent, and degrades desired compounds at high temperatures. Thus, this study investigated ultrasound-assisted anthocyanin extraction from agricultural waste purple corn silk as natural functional colorants for hemp finishes, given the numerous health benefits associated with anthocyanin. In order to optimize the extraction processes and evaluate the synergistic impact of these conditions, response surface methodology was implemented. The optimum conditions …

Photoluminescent Carbon Nanodots For Artificial Photosynthesis, Rajie A. Medina, Michael E. Franco, Lyn Marie De Juan-Corpuz, Ryan D. Corpuz

Journal of Metals, Materials and Minerals

The emerging field of carbon dots (CDs), a type of carbon nanostructure that has gained significant attention due to its unique properties and potential applications. CDs possess remarkable attributes, including photoluminescence, electrochemical potential, compatibility with living organisms, solubility in water, chemical stability, and versatile surface properties. The chemical structure, particle size, and surface functionalities of CDs all have an impact on their photoluminescent properties, which are the focus of this review. The photoluminescence mechanism in CDs is discussed, highlighting their amorphous structure, and comparing them to graphene quantum dots. The paper delves into the application of CDs in artificial photosynthesis, …

In Vitro And Vivo Biocompatibility And Degradability Of Low-Alloyed Mg-Zn-Ca-Mgo Composite As Bone Repair Biomaterials, Shuquan Zhang, Jiangtao Feng, Chaokun Tang, Ran Pang, Xinglong Zhang, Chenguang Li, Weihao Zhang, Fengxin Zhou, Feng Xue, Shaoyuan Lyu, Minfang Chen, Hao Wang

Journal of Metals, Materials and Minerals

Magnesium alloys have gained attention as biodegradable bone repair biomaterials. Unlike non-biodegradable materials like titanium and tantalum, biodegradable implants offer advantages in promoting bone healing and minimizing chronic inflammatory reactions. However, the impact of the implant's degradation on the osteogenic environment remains a concern. The Mg-Zn-Ca-MgO composite, being biocompatible and containing osteogenic ions, is a promising candidate. This study assesses the degradability and in vitro/in vivo biocompatibility of two Mg-Zn-Ca-MgO composites with varying degradation rates. The Mg-1Zn-0.2Ca-1.0MgO composite was prepared, and leaching solutions were created following standard protocols. MC3T3-E1 cell cultures were conducted to assess cell toxicity, alkaline phosphatase (ALP) …