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.

Modeling, Control, And Fault Detection Of Energy Systems Under Limited High-Confidence Data Scenarios, Selorme K. Agbleze

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

Modeling, Control, and Fault Detection of Energy Systems under Limited High-Confidence Data Scenarios

Selorme K. Agbleze

Utilizing process measurements for fault detection is an established approach for processes with adequate datasets. For systems with limited high-confidence data representing fault cases and some amount of low-confidence data, few quantitative hybrid techniques exist for performing fault detection. In real systems, it is time-consuming, expensive, and sometimes not productive to generate enough high-confidence data with fault characteristics of a specific process. The problem of limited high-confidence data scenarios may also arise due to process novelty, the need for new operating conditions, or …

Evaluation Of Probable Maximum Precipitation (Pmp) For West Virginia To Predict Current And Future Pmp & Utilizing Acid Mine Drainage (Amd) Sludge In Reclamation, Grace Katherine Kerr

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis includes two main topics: 1) evaluation of probable maximum precipitation (PMP) for West Virginia to predict current and future PMP, and 2) utilizing acid mine drainage (AMD) sludge as a reclamation plan.

Probable maximum precipitation (PMP) is essential for dam design as well as for the inspection, operation, maintenance, and repairs of these facilities. West Virginia Department of Environmental Protection Dam Safety utilizes the 6-hr, 10-mi² (26-km²) PMP established by Hydrometeorological Report (HMR) 51 based on the analysis of extreme rainfall. These PMP are outdated because there have been unaccounted for extreme rainfall events that …

On Confidence And Sense Of Belonging In Cybersecurity Students: Analysis & Prediction, Sadaf Amna Sarwari

Graduate Theses, Dissertations, and Problem Reports (ETD)

In recent years, there has been a rapid expansion of cybersecurity programs across higher education institutions in response to the widening skills gap in the cybersecurity job market. This study adopts quantitative and qualitative approaches to identify factors influencing West Virginia University (WVU)’s LANE Department of Computer Science and Electrical Engineering (LCSEE) students’ confidence and sense of belonging in the cybersecurity field. The results are based on data collected from surveys administered to LCSEE students in April 2022 and April 2023. The responses were analyzed using descriptive & inferential statistics and logistic regression techniques. Additionally, the 2023 data was utilized …

Enhancing Reservoir Modeling And Simulation Through Artificial Intelligence And Machine Learning: A Smart Proxy Modeling Approach, Andrew Timothy Jenkins

Graduate Theses, Dissertations, and Problem Reports (ETD)

The application of numerical reservoir simulation (NRS) has been a common approach within the oil and gas industry for decades, providing a means to model and forecast dynamic subsurface interactions, as a basis for reservoir management and development decisions. These techniques have expanded to application within carbon capture utilization and storage (CCUS) projects as domestic and global policy shift towards reducing carbon emissions while maintaining the energy needs of our modern society. NRS techniques have become a core process for permitting approval in Class VI (large-scale geological sequestration) wells due to the fundamental similarity of these types of subsurface processes. …

Ifn-𝜸 And Il-10 Immunosensor With Vertically Aligned Carbon Nanotube Interdigitated Electrodes Toward Pen-Side Cattle Paratuberculosis Monitoring, Shaowei Ding, Benjamin J. Brownlee, Kshama Parate, Cicero C. Pola, Bolin Chen, Jesse M. Hostetter, Douglas Jones, John Jackman, Brian D. Iverson, Jonathan C. Claussen

Faculty Publications

Highly sensitive vertically aligned carbon nanotube arrays (VANTAs) interdigitated electrode (IDE) arrays are developed for electrochemical biosensing of two cytokines (i.e., interleukin-10 (IL-10) and interferon-gamma (IFN-𝜸)) that are useful for early detection Johne’s disease (Bovine Paratuberculosis) in cattle. The high aspect ratio VANTA-IDEs (50–60 μm in height) are grown through a chemical vapor deposition process from an iron (Fe) catalyst that is lithographically patterned on a silicon wafer with equal finger width and inter-finger spacing of 25 μm. After functionalization with distinct antibodies the VANTA-IDEs are capable of selective detection of both IL-10 and IFN-𝜸 within an actual biological matrix …

Investigation Of Mechanically Fatigue Low-Frequency Energy Harvesting Effects On Isotropic Materials, Daniel J. Meade

College of Graduate Studies: Theses & Dissertations

This research project reports an exploratory investigation of energy harvesting effect on isotropic material that goes through low frequency mechanical fatigue. Energy harvesting is a growing field of study that can recycle ambient energy back into a system that would otherwise be lost. This is a significantly useful method for the ongoing energy crisis and provides an alternate route to design and upgrade systems to be more efficient and last longer than current system designs. However, it is time to investigate if there is any effect vibration-based energy harvesting has on the structure from which energy is being harvested. To …

Understanding The Role Of Recalcitrant Organic Phosphorus Mineralization On Harmful Algal Blooms At The Sediment-Water Interface Of Freshwater System, Tasnuva Farnaz

College of Graduate Studies: Theses & Dissertations

Over the past few decades, an enormous number of resources have been allocated to reduce the amount of phosphorus (P) entering the environment from both point and non-point sources. Nevertheless, the decrease in external P loading has not always resulted in a simultaneous decrease in the occurrence of harmful algal blooms (HABs) in waters contaminated with phosphorus. A two-part study is currently being conducted to investigate and measure the role of legacy recalcitrant P forms in the overall pool of soluble reactive phosphorus (SRP). However, the objective of this particular study is to evaluate the potential of Organic Phosphorus (PO) …

Understanding The Impact Of Process Interruption On Mechanical Properties In Metal Additive Manufacturing: A Comprehensive Investigation, Poojith C. Chigurupati

College of Graduate Studies: Theses & Dissertations

Metal additive manufacturing techniques enable rapid prototyping and on-demand manufacturing while improving supply chain resiliency. Changes in microstructure and micro-mechanical characteristics of 3D printed metal parts occur due to the influence of process interruptions on melting-solidification cycles during the layer evolution in additive manufacturing processes. The process interruption can deteriorate the structural integrity of the 3D printed parts and generate micro-flaws in the interruption region. Manufacturing post-processing techniques such as Heat-Treatment methods can enhance the mechanical properties of the parts. Since variations commonly happen at the layer level, the investigation of mechanical properties must be done such that these variations …

Highlighting Opportunities For Anaerobic Co-Digestion Of Food Waste From Universities With Pulp And Paper Mill Sludge, Md Nizam Uddin

College of Graduate Studies: Theses & Dissertations

The disposal of food waste (FW) in landfills presents significant environmental and economic challenges, including greenhouse gas emissions and loss of potential resources. Concurrently, the pulp and paper industry, a major sector in the United States, generates substantial quantities of recalcitrant organic waste that is high in lignocellulosic content. Anaerobic co-digestion of FW with pulp and paper mill sludge (PPMS) emerges as a potential strategy to address both waste streams simultaneously, potentially enhancing organic matter degradation and biogas yield. However, the efficacy of this co-digestion approach and its broader sustainability implications remain insufficiently characterized. This study employs laboratory-scale experiments to …

Monitoring Aerosols With Time Resolution With A Rotating Drum Sampler Using La-Icpms For Elemental Analysis, John V. Piorkowski

Honors Theses

This thesis presents a comprehensive study on the characterization and application of a rotating drum sampler for air quality monitoring, with a focus on aerosol composition analysis using Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICPMS). The study aimed to determine (1) the cut-off points of the drum sampler to better understand its performance characteristics and (2) to investigate indoor air quality, specifically within makerspaces on Bucknell University’s campus. The research highlighted the novelty of applying LA-ICPMS for time-resolved aerosol composition analysis, demonstrating the potential for low-cost pollution concentration studies. The characterization experiments did not yield expected results, but the …

Experimental Evaluation Of Mesh Size In Physically Crosslinked Polymer Gels Using Dynamic Light Scattering, Duncan M. Hill

Honors Theses

Block copolymer gels are under consideration as drug delivery patches. Controlling and modeling the transport inside the gel is an important contribution to the successful delivery of pharmaceuticals. The diffusive transport of a solute – such as a therapeutic compound – within the gel can be described by the mesh size of the gel, which is defined as the distance between polymer chains. Existing experimental evaluations of mesh size do not work for block copolymer gels due to differences in the fundamental gel structure. As such, an experimental method of measuring mesh size of block copolymer gels using dynamic light …

Statistical Analysis For Water Quality Data Using Anova (Case Study- Lake Burullus Influent Drains), Mohamed Hussein Hegazy

Civil Engineering

Lake Burullus is considered one of the most valuable northern lakes in Egypt due to its unique ecological system and special location. Over the past four decades, the lake has suffered from high contamination levels due to expansion in fish farming and increasing of agricultural drainage water entering the southern side of the lake through eight influent drains. This research aims to assess the current situation of the lake’s influent drains. For this purpose, two types of statistical analysis, Mean average method, and Analysis of Variance (ANOVA) were used. The water quality conditions for six major drains (Therah (Tira), Nashart, …

Lecturer Assistant, Aya Hassan

Civil Engineering

Lake Burullus is considered one of the most valuable northern lakes in Egypt due to its unique ecological system and special location. Over the past four decades, the lake has suffered from high contamination levels due to expansion in fish farming and increasing of agricultural drainage water entering the southern side of the lake through eight influent drains. This research aims to assess the current situation of the lake’s influent drains. For this purpose, two types of statistical analysis, Mean average method, and Analysis of Variance (ANOVA) were used. The water quality conditions for six major drains (Therah (Tira), Nashart, …

Applications Of Computational Intelligence And Data Fusion Techniques For Biomedical Images, Anand Krishnadas Nambisan

Doctoral Dissertations

"The realm of melanoma diagnosis has been significantly advanced by deep learning (DL) techniques, yet the current approaches are not without limitations, including missed diagnoses and the challenge of interpreting these "black box" models. The research is comprised of three studies, each contributing uniquely towards advancing melanoma detection accuracy and interpretability. The first study focuses on improving the detection of specific dermoscopic structures through a deep learning-based segmentation approach, while the second study builds upon this by employing a fusion technique that combines traditional image features with advanced deep learning models. This method significantly improves melanoma detection, particularly in recall …

Grid Culture, Eliot Bates, Arseni Troitski

Publications and Research

In this essay, we provide our initial ethnographic research about lines, which at a superficial level can be considered a platform, but which is also synonymous with a community of 8800 users, and with 606k unique posts authored by these users that in aggregate constitute a discourse network (Aufschreibesysteme, see Kittler 1990). lines—as platform, community, and discourse network—is primarily designed to support the development, documentation and user-generated code efforts specific to a set of hardware synthesis-related objects (the two we will focus on are called Norns and Grid; we’ll discuss what they are and what they do through the subsequent …

A Mixed Methods Approach To Evaluation And Modeling Of Ergonomic Stressors Due To Mass Decedent Handling, Vaishakhi Suresh

Graduate Theses, Dissertations, and Problem Reports (ETD)

Work-related injuries, illnesses, and musculoskeletal disorders (MSDs) significantly impact the U.S. healthcare industry, leading to lost working days, high medical costs, and increased turnover rates among healthcare workers (HCWs). Increased physical and mental health risks due to the handling of deceased during COVID-19 pandemic has exacerbated these issues. While the ergonomic risks of patient handling are well-studied, limited research exists on the ergonomic risks of manual handling of the deceased. Therefore, the primary objective of this study was to explore the challenges associated with decedent handling so that effective safety interventions to reduce the risk of injury and mental distress …

Modeling Pulsatile Flows Using Truly Incompressible Finite Volume Lattice Boltzmann Model, Akshay S. Dongre

Dissertations, Master's Theses and Master's Reports

The present study addresses the compressibility error inherent in the standard Lattice Boltzmann Method (LBM) and LBM’s restriction to uniform Cartesian meshes. To mitigate the compressibility error, an incompressible LBM (iLBM) model has been incorporated into the finite volume framework using a cell-centered finite volume approach, leveraging the simplicity of the LBM algorithm for irregularly shaped flow domains with unstructured meshes. Monotonic Upstream-centered Scheme for Conservation Laws (MUSCL) and linear reconstruction (LR) schemes have been used to compute convective fluxes across the cell interfaces with boundary conditions implemented using the second-order accurate Non-Equilibrium Extrapolation (NEE) method.

The finite volume iLBM …

Phase Field Modeling Of Fracture And Phase Separation Using Numerical Methods And Machine Learning, Revanth Mattey

Dissertations, Master's Theses and Master's Reports

Phase field modeling is a crucial tool in scientific and engineering disciplines due to its ability to simulate complex phenomena like phase transitions, interface dynamics, and pattern formation. It plays a vital role in understanding material behavior during processes such as solidification, phase separation, and fracture mechanics. Particularly in fracture mechanics, phase field modeling can be utilized to predict the crack path in complex materials. Understanding the failure behavior is vital for applications of any material. The specific contributions to the field of phase field fracture mechanics, are, Firstly, we propose a novel phase field fracture model to simulate the …

Exploring Market Segmentation For Autonomous Ferries, Ashari Fitra Rachmannullah, Taih Cherng Lirn, Kuo Chung Shang

Journal of Marine Science and Technology–Taiwan

This study aims to investigate the determinants that underlie psychographic segmentation in the domain of autonomous ferries (AFs) by using the theory of planned behaviour (TPB) as a guiding theoretical construct. The paper focuses on Indonesian individuals who had previously utilised conventional ferry services. TPB was applied as a catalyst to identify possible market segmentation among potential AF passengers. In this study, cluster analysis is used to differentiate passengers by their perception of using AFs. The results identified three market segments through cluster analysis based on passengers’ perceptions of using AFs: Resource-Limited, Resource-Capable, and Value-Optimistic. Among these segments, the Resource-Capable …

Adaptive Prediction Horizon Energy-Saving Collision-Free Mpc Of Ships Based On Ship-Shore Cooperation, Han Xue, Enjie Yang

Journal of Marine Science and Technology–Taiwan

ABSTRACT:In order to perform the close association between ship maneuvering control and energy consumption through the control strategy, this paper designs an adaptive prediction horizon based energy-saving robust nonlinear model predictive control (APHERNMPC) for underactuated ships to deal with the actual control and state constraints during berthing based on ship-shore cooperation. An improved Emperor Penguin Optimizer (EPO) method is proposed for collision avoidance decision. To solve the problems of falling into local optimum and reducing the convergence speed, the traditional EPO is improved based on Sobol sequence in order to enhance the diversity and ergodicity of the population. The multi-ship …

Research And Design A Lifeboat Virtual Reality Simulation System For Maritime Safety Training In Vietnam, Nguyen Dinh Thach, Nguyen Van Hung

Journal of Marine Science and Technology–Taiwan

Ensuring maritime safety and security is crucial for all nations. Training trainees and operational officers in this field aims to enhance their professional skills and ability to manage and resolve incidents at sea. This article outlines the development of a lifeboat simulation system that integrates Virtual Reality (VR) technology in accordance with international maritime regulations. It describes the creation of an algorithm designed to optimize data transmission between simulation systems using the ant colony optimization technique in conjunction with intelligent control algorithms on Unity 3D software for human interaction. In particular, the system combines training with a maritime simulation framework …

Optimizing Large Language Models And Multimodal Approaches For Biomedical Publication And Satellite Imagery, Youngsun Jang

Electronic Theses and Dissertations

This dissertation comprises two main sections: the first focuses on natural language processing (NLP) for extracting key information from scientific literature using large language models (LLMs), and the second addresses remote sensing for detecting natural disasters, such as floods, from satellite imagery using a multimodal approach. The first section investigates methods to enhance Transformer-based models in classifying and extracting information from biomedical scientific publications. Key contributions include the development of a custom dataset for classification and Question and Answering (Q&A) tasks, fine-tuning Transformer models like the Bidirectional Encoder Representations from Transformers (BERT) and addressing multi-span answer issues with the TAg-based …

Calculation Of Elastic Constants Of Bulk Metallic Glasses From Indentation Tests, Zhitong Xu, Ming Liu, Fuqian Yang

Chemical and Materials Engineering Faculty Publications

One of the challenges in the applications of instrumented indentation is to simultaneously measure elastic modulus and Poisson’s ratio of homogeneous, isotropic materials. This work proposes empirical equations for simultaneous calculation of elastic modulus and Poisson’s ratio of bulk metallic glasses (BMGs) from the ratio of the short diagonal length to the long diagonal length and the area of the Knoop imprint. The parameters pre- sented in the empirical equations are determined first by Knoop microhardness tests of 24 BMGs, whose elastic moduli and Poisson’s ratios are measured by resonant ultrasound spectroscopy. These empirical equations are further validated by the …

Nano-Pulse Treatment Overcomes The Immunosuppressive Tumor Microenvironment To Elicit In Situ Vaccination Protection Against Breast Cancer, Anthony Nanajian, Megan Scott, Niculina I. Burcus, Brittney L. Ruedlinger, Edwin A. Oshin, Stephen J. Beebe, Siqi Guo

Bioelectrics Publications

We previously reported that nano-pulse treatment (NPT), a pulsed power technology, resulted in 4T1-luc mammary tumor elimination and a strong in situ vaccination, thereby completely protecting tumor-free animals against a second live tumor challenge. The mechanism whereby NPT mounts effective antitumor immune responses in the 4T1 breast cancer predominantly immunosuppressive tumor microenvironment (TME) remains unanswered. In this study, orthotopic 4T1 mouse breast tumors were treated with NPT (100 ns, 50 kV/cm, 1000 pulses, 3 Hz). Blood, spleen, draining lymph nodes, and tumors were harvested at 4-h, 8-h, 1-day, 3-day, 7-day, and 3-month post-treatment intervals for the analysis of frequencies, death, …

Pelletizing Of Attapulgite/Carbon Nanocomposite From Used Bleaching Earth For Continuous Treatment Of Wastewater From A Natural Rubber Factory, Lilis Hermida, Joni Agustian, Yin Fong Yeong

ASEAN Journal on Science and Technology for Development

The increase in global natural rubber production has correspondingly elevated the generation of wastewater. To address this, various wastewater treatment methods are being implemented, with continuous adsorption emerging as a promising approach. In this recent study, pelletizing of attapulgite/carbon nanocomposite was conducted to obtain pellet adsorbent for continuous adsorption of wastewater from natural rubber industry. The study aimed to evaluate the characteristics and performance of the pellet adsorbent in wastewater treatment. In the preparation, spent bleaching earth (SBE) with a 200-mesh particle size was calcined to obtain attapulgite/carbon nanocomposite. This nanocomposite was mixed with bentonite clay at a 70:30 (w/w) …

Lessons Learned From Laboratory Study And Field Application Of Re-Crosslinkable Preformed Particle Gels Rppg For Conformance Control In Mature Oilfields With Conduits/Fractures/Fracture-Like Channels, Baojun Bai, Thomas P. Schuman, David Smith, Tao Song

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

This Paper Surveys the Role of Re-Crosslink able Preformed Particle Gels (RPPG) in Addressing Conformance Challenges within Mature Oilfields. Despite Widespread Preformed Particle Gel (PPG) Application in 15,000+ Wells, their Limitations in Sealing Fractures and Conduits Prevalent in Mature Reservoirs Have Driven the Development of RPPG Formulations. Synthesized in Various Sizes from Micrometer to Millimeter Levels, These Environmentally Friendly RPPGs Are Tailored for Diverse Reservoir Conditions. Findings Showcase the Successful Laboratory-Scale Creation and Upscaling of RPPG Products, Offering Adaptability to Temperatures from 20 to 175°C, Customizable Sizes, Swelling Ratios (5 to 40 Times), and Re-Crosslinking Times Spanning Minutes to Days. …

Bioprinting With Adipose Stem Cells And Hydrogel Modified With Bioactive Glass, Krishna C.R. Kolan, Apurv Saxena, Bradley A. Bromet, Lesa B. Steen, August T. Bindbeutel, Julie A. Semon, Delbert E. Day, Ming C. Leu

Biological Sciences Faculty Research & Creative Works

Bioprinting research is focused on utilizing growth factors and multiple cell types to create clinically relevant three-dimensional (3D) tissue models using hydrogels. Rheological and biological challenges are two main factors that limit the creation of extrudable bioactive hydrogels. In this study, we investigate incorporation of fast dissolving and bioactive borate glass in different weight to volume percentages (0.075 to 0.6%) to alginate-gelatin (1:1) hydrogel to improve rheological properties and enable bioprinting with bioactive glass. The addition of glass improved the stiffness of the hydrogel. Human adipose-derived mesenchymal stem cells (ASCs) were uniformly mixed in this bioink at 1 x 106 …

Borate-Based Bioactive Glasses Properties: Clinical And Biomedical Applications, Sarah Fakher, David J. Westenberg

Biological Sciences Faculty Research & Creative Works

Borate bioactive glasses (BBGs) constitute the recently produced bioactive glasses (BGs) in the domain of bioactive materials, offering enhanced functionalities over conventional silicate and phosphate BGs. This advancement is primarily characterized by BBGs' rapid yet controllable degradation rates, superior bioactivity, and the ability to swiftly form a hydroxyapatite layer (HAP) upon interaction with physiological fluids. A distinguishing feature of BBGs lies in their customizability; doping with therapeutic metal ions tailors their bioactivity towards specific physiological responses, including promoting angiogenesis, antibacterial activity, and osteogenesis. This versatility of BBGs' applications extends to bone regeneration, wound healing, drug delivery systems, and potentially nerve …

Developing Smart Textiles Encapsulated With Single Walled Carbon Nanotubes For Biomedical Applications, Devleena Chowdhury

Open Access Master's Theses

This thesis investigates the creation of core-shell nanofibers for enhanced wound healing applications using a variety of polymer combinations. Chronic wounds are a major worry in the biomedical sector, and researchers are looking at new materials to help the healing process. The PVDF/PVA core-shell structure with single-walled carbon nanotubes (SWCNTs) was chosen due to its balanced mechanical strength, high biocompatibility, and DNA-SWCNT complex stability. PVDF is a preferred shell material due to its biocompatibility and water solubility, making it excellent for wound dressings, implanted scaffolds, and sensors that monitor healing.

The study focuses on improving the electrospinning method to produce …