Digital Commons Network^™

Biogenic Calcite Precipitation For Coastal Sand Stabilization: A Synergistic Approach Using Marine Bacteria And Natural Fibers, Aparna Gs

Theses and Dissertations

Coastal erosion, driven by natural forces such as waves, tides, winds, and currents and further intensified by anthropogenic activities like urbanization, climate change, and coastal infrastructure development, poses a significant threat to shoreline stability. Conventional erosion control methods, including jetties, embankments, and artificial reefs, often face limitations in sustainability and effectiveness. In this context, microbially induced calcite precipitation (MICP) has emerged as a promising ecofriendly solution for ground stabilization.

The present study investigates the potential of an indigenous ureolytic marine bacterium, Bacillus sp. N₉, isolated from the coastal sediments of Nagapattinam, Tamil Nadu, for coastal sand stabilization. The strain was …

Bioprospecting Of Wheat Straw Pyrolysis Aqueous Phase To Combat Multi-Drug Resistant Pathogens, Srividhya K

Theses and Dissertations

Hospital-acquired infections (HAIs) significantly contribute to the emergence and spread of antimicrobial resistance (AMR), primarily through the contamination of high-touch surfaces. Current disinfectants have drawbacks like high environmental persistence, ecotoxicity, and resistance development, prompting the need for environmentally friendly alternatives.

One potential approach is pyrolysis, during which the biomass components are broken down into solid, liquid, and pyro-gas. The aqueous phase of the liquid fraction is usually discarded as waste, but it contains a variety of organic compounds that have the potential for antibacterial and antifungal activity. The present study assessed the anti-infective and anti-biofilm properties of wheat straw pyrolysis …

Fabrication Of Transparent Conducting Electrodes By Chemical Approaches & Their Application Towards Sensing And Energy Storage, Namuni Sneha

Theses and Dissertations

In the intelligent era, there is a growing demand for developing highly efficient and robust wearable electrodes through simple chemical approaches. We developed highperforming transparent electrodes using interconnected Au nanoparticle networks via a simple liquid-liquid interface approach that offers high conductivity, transparency (>85%), and mechanical durability. Additionally, the prepared electrodes exhibit tunable transmittance and sheet resistance, and the method was also adaptable to various substrates without harsh chemical or thermal treatments.

Furthermore, using Au 1L (1-layer) nanonetwork, a highly transparent breath sensor is fabricated with short response and recovery times (1.1 s and 1.3 s). The Au-1L sensor is …

Design And Investigation Of Deep Eutectic Solvent-Assisted Extractive Fermentation Of Biomolecules, Ramya M

Theses and Dissertations

The increasing demand for sustainable and efficient bioprocessing techniques has prompted the development of novel separation strategies integrating bioproduction with downstream processing. Extractive fermentation has emerged as a promising process intensification to overcome product inhibition and enhance productivity by constantly removing target biomolecules from the fermentation medium. Although the extractive fermentation of acids and alcohols has been extensively studied, less attention has been focused on green solvents and their compatibility, phase-forming abilities, and reactor configurations.

Therefore, advancing extractive fermentation technology necessitates comprehensive studies on solvent systems and the development of modified bioreactor configurations to aid future optimization. Initially, 22 DESs …

Fabrication Of Protein-Based Nanomicelle Against Inflamed Synoviocytes In Rheumatoid Arthritis, Madhumithra Thangadurai

Theses and Dissertations

Rheumatoid arthritis (RA) is a chronic autoimmune disease marked by persistent synovial inflammation, progressive cartilage and bone destruction, and systemic complications. 1% of the global population are affected by RA, when their immune system targets synovial tissues, leading to joint pain, swelling, and functional disability. Standard treatments, such as disease-modifying antirheumatic drugs (DMARDs) like methotrexate (MTX), are limited by systemic toxicity and inconsistent patient responses, highlighting the need for improved therapies. This research work explores protein-glycosaminoglycan nanomicelles engineered using Zein with Chondroitin or carboxymethylated Dextran Sulfate as targeted drug delivery vehicles for RA.

MTX was encapsulated within these nanomicelles to …

Aerodynamics And Vibrational Characteristics Of Vertical Axis Wind Turbine With Bio-Inspired Lep (Leading Edge Protuberance) Blades, Karthik Vel E

Theses and Dissertations

The growing wind energy sector and demand for renewable energy have led to increased wind turbine installations and alternatives to horizontal-axis wind turbines, such as small-scale turbines. The trends are shifting toward the use of readily available energy alone or with sustainable sources, such as solar or geothermal energy. The creation of self-sustaining energy capture and urban installations for developing smart grids is in great demand. A vertical-axis wind turbine is one such alternative. The performance of vertical-axis wind turbines is affected by drag, dynamic stalls, and vibrations from turbulent flow. Time-varying flow causes structural instabilities, leading to the vibration …

Developing A Deep Learning Model For Detection Of Spontaneous Combustion In Open Pit Coal Mines, Jatin Juneja

Engineering

Spontaneous combustion in coal mines have been a concern for miners all over the world, particularly in China, the USA and India. If allowed to establish over a large area it can become a serious environmental concern. It is important to detect it at initial stages and isolate affected coal seam to quench fire. Monitoring combustion in spoil piles of abandoned and artisanal coal mines is even more difficult due to lack of access to regulating authorities. By using Deep Learning Neural Networks, Convolutional Neural Network models can be trained to detect spontaneous combustion. These scans can be made more …

Optimal Control And Inverse Problems For Partial Differential Equations And Variational Inequalities, Olha Sus

Mathematics and Statistics

This dissertation addresses optimal control problems for nonlinear evolutionary variational inequalities involving Volterra-type operators and inverse problems for the Dirac system on finite metric graphs. The first part presents the historical background, novelty, and motivation behind the research studies. In the second part, we focus on solving the initial value problem for nonlinear evolutionary variational inequalities with Volterra-type operators, proving the existence of a unique solution using the Banach fixed-point theorem. The third part explores an optimal control problem for these inequalities, establishing the existence of a solution under specific assumptions on the given data. In the last part of …

Reanalysis And (Near) Real-Time Inversion Of Deformation Observations At Alaskan Volcanoes, Mario Fernando Angarita Vargas

Geosciences

Forecasting volcanic eruptions remains challenging due to the complexity and limited understand­ing of volcanic processes. However, recent studies have shown that integrating multidisciplinary data from past eruptions can improve forecasts for monitored volcanoes. The PREEVENTS project addresses this challenge identifying patterns prior, during or following volcanic eruptions on mul­tidisciplinary data. The project considers four disciplines: Geodesy, Petrology, Seismology and Gas/Geochemistry. This dissertation contributes with two novel tools to analyze geodetic data. The first tool exploits the amplitude from SAR imagery to quantify morphology changes during erup­tions. The tool has been verified with a synthetic case and validated with a dome …

Toward Multidisciplinary Volcanic Eruption Models And Forecasts In Alaska: Contributions From Automated Seismic And Acoustic Signal Detection, Darren Tan

Geosciences

Explosive, ash-generating volcanic eruptions pose an increasing threat to a growing, globally connected population. Accurate forecasts of volcanic eruptions remain challenging due to the complex­ity of volcanic systems, but recent multidisciplinary synthesis efforts have proven effective. The National Science Foundation Prediction of and Resilience against Extreme Events (PREEVENTS) project aims to re-analyze and combine multidisciplinary observations at eight Alaska volcanoes to develop eruption forecast models. Leading the seismology and infrasound discipline, this dis­sertation details the development of automated tools capable of producing high-resolution catalogs of volcanic unrest signals from continuous seismic and acoustic data. By leveraging these catalogs and synthesizing …

Social Thought From The Ruins: Quixote’S Dinner Party, David A. Westbrook

Books

Through stories, conversations, and essays, this book pursues interwoven critical and philosophical inquiries into the nature of the contemporary in the North Atlantic, asking how are we to live as intellectuals, individually and in community? Social Thought From the Ruins: Quixote’s Dinner Party is the product of informal discussion and academic work done over the last two decades among an international group of social scientists. An extended critique of academic life today and the context of our own thinking, this book interrogates aspects of our modernity, with its pervasive sense of crisis and uncertainty, and the difficulty of thinking clearly …

Exploring Longitudinal Stability Of Spatiotemporal Sequential Patterns By Means Of Autoencoder Schemes For Eeg Based Personal Identification, Muhammed E. Oztemel

LSU Doctoral Dissertations

Robust personal identification remains a critical and challenging task in the digital era. Electroencephalography (EEG) offers a unique biometric modality that captures individual brain dynamics through complex neural signals. This dissertation proposes autoencoder (AE) based feature extraction and subject identification through these features. EEG recordings are first transformed into topographic maps to represent spatial brain activity. Consecutive topomaps are then concatenated to capture temporal transitions across frames. Convolutional autoencoders (CAEs) are used to learn spatial and temporal patterns, while domain-adaptive AEs are designed to model evoked potential based responses. Additionally, self-attention mechanism is incorporated to enhance feature representation. To analyze …

Effects Of Eogo In Metakaolin-Based Geopolymer, Chaewon Lee, Hoyoung Lee, Jinwoo An, Boo Hyun Nam

Civil Engineering Faculty Publications

Geopolymer concrete uses a geopolymer binder instead of traditional Portland cement; thus, it reduces carbon emissions by a significant amount. In this study, Edge-Oxidized Graphene Oxide (EOGO), a carbon-based nanomaterial, was added into a metakaolin-based geopolymer, and its effect on the mechanical and rheological properties of the mixture was investigated. EOGO was added into the mixture at 0% (control), 0.1%, 0.5%, and 1% of the metakaolin mass. Several experiments were conducted to characterize the properties of the metakaolin–EOGO (MKGO) geopolymer, including its compressive strength, free–free resonance column (FFRC), void content, water absorption, setting time, flow, and rheology. It was found …

Strontium Isotope Movement Modeling Of Modern And Ancient Megafauna In Alaska, Audrey Rowe

Biological Sciences

Strontium isotope analysis is a technique that can be used to infer the geographic origin of biological materials. The strontium isotope ratios (87Sr/86Sr) of biological tissues can be matched to locations on a modeled strontium geographic distribution (“isoscape”) with similar 87Sr/86Sr. In this dissertation, I measured 87Sr/86Sr and other stable isotopes along the length of a mammoth tusk to model its lifetime movement and infer details about its food sources and nutritional status. I then adapted this modeling method to caribou tooth enamel to compare modern and premodern caribou space use in interior Alaska and built a new 87Sr/86Sr isoscape …

Investigation Of Dependency Parsing Techniques For Digital Document Analysis Through Deep Learning Approach, Rekah D Ms

Theses and Dissertations

Digital document dependency parsing is a significant task in natural language processing. Dependency parsing supports verification of the grammatical correctness of a sentence besides enabling extraction of relevant documents. Inappropriate extraction of features may result in falsely parsing a document, leading to decreased accuracy. Machine learning methods have been employed to perform feature extraction. However, selecting pertinent features was never achieved which minimizes the time consumption and overhead.

Hence, novel machine learning and deep learning techniques have been designed in our work for accurate and computationally efficient digital document analytics through dependency parsing. Four different contributions have been proposed for …

Bridging Scales In Epidemic Modeling From Individuals To Networks And Ecosystems, Saiprasasd Vr

Theses and Dissertations

Epidemics have shaped the trajectory of human history, repeatedly exposing vulnerabilities in healthcare systems and influencing socio-economic dynamics on a global scale. The COVID-19 pandemic, in particular, underscored the pressing need for flexible and responsive modeling framework capable of adapting to dynamic and evolving epidemic scenarios. Motivated by these challenges, this thesis explores the development of innovative epidemic models that integrate classical mathematical modeling techniques, network-based frameworks, and modern data-driven approaches. Each chapter addresses a distinct dimension of epidemic spread, from vaccination dynamics and community coupling to ecological complexity and adaptive human behavior, culminating in a model-free paradigm suitable for …

Evidentiary Practices In Arbitration: Need For A Minimum Framework, Krishnaja Olappamanna

Theses and Dissertations

Indian arbitration has emerged as a preferred method of dispute resolution, offering the benefits of flexibility, cost-effectiveness, and confidentiality over conventional litigation. Although this flexibility, more specifically in evidentiary matters, has brought procedural inconsistencies and uncertainties that detract from the enforceability of arbitral awards.

This is in line with Section 19 of the Arbitration and Conciliation Act of 1996, which prohibits arbitral tribunals from following the Indian Evidence Act of 1872 or the Code of Civil Procedure of 1908. While the provision allows procedural autonomy, it also brings with it an uncertainty in the evidentiary process of arbitrations, mostly when …

Cyclone Intensity Prediction In The Bay Of Bengal Using Deep Learning Methods, Senthil Kumar J

Theses and Dissertations

The Bay of Bengal region's coastlines have been badly devastated by tropical cyclones, as the region experiences an average of five to six cyclones per year, with about two to three of these intensifying into tropical storms or severe cyclones. Thus it necessitates to study the accurate and efficient forecasting of their intensity to improve preparedness and response to natural disasters. The present study compares and examines three distinct approaches to cyclone intensity prediction using historical datasets from 1998 to 2020: hybrid optimisation, deep learning-based, and empirical approaches.The predicted accuracy, computational effectiveness, and feasibility for real-time scenarios of each model …

Development Of Powder Activator From Agro-Industrial Waste And Its Application In The Preparation Of One-Part Alkali Activated Concrete, Anoop Kn

Theses and Dissertations

The environmental concerns associated with the traditional ordinary Portland cement (OPC) such as CO2 emission and high energy demand along with resource depletion as binder has led to the development of alkali activated binders (AABs). Even with the reduction in environmental issues, the implementation of AAB in practice is hindered by the handling issues of liquid activators. Hence, it is required to develop AAB with powdered activators to address the handling issues and to further reduce the environmental issues related to the production of activators. This research investigates the development of one-part alkali-activated concrete (OAAC) system utilising wastederived materials as …

Design Of An Integrated Lightweight Cryptographic Algorithm For Device Level Security And Fraternal Cryptographic Algorithm For Communication Security In Medical Cyber Physical Systems, Vimala Devi P

Theses and Dissertations

Healthcare involves detecting symptoms, diagnosing conditions and giving treatment to patients. It is one of the fundamental human rights, and it might be difficult to provide healthcare to those with chronic illnesses, elderly people with disabilities and those under distant observation. The World Health Organisation (WHO) states that Cardio Vascular Disease (CVD) is the leading cause of death worldwide.

According to the prediction, CVD-related causes such as heart attacks and strokes, could result in 23.3 million deaths by 2030. In addition, the number of people with diabetes will reach 246 million; thereby, the prevalence of CVD patients and diabetics will …

Design And Development Of Machine Learning And Deep Learning Based Algorithms For Cyberattacks Detection, Abiramasundari S

Theses and Dissertations

E-mail is the fastest mode of communication. It is amongst the most commonly used modes of communication and can be used for both legal and illegal purposes. Many elements that could be useful in detecting email fraud are constantly being investigated. Phishing assaults in which thieves use Internet to trick consumers into visiting fake websites are very common and are causing significant harm to victims. Several methods of filtering phishing emails have been devised but a solution to the problem still evades. One of the attacks addressed in this research is email phishing. Machine learning is a popular and efficient …

Investigations Of Secure Memory For Vlsi Based Crypto System, Vijay Sai R Mr

Theses and Dissertations

Semiconductor technology is growing very rapidly in their architectural developments, involving the usage of processor and memory. Presence of memory, in general is a vital commodity in various devices which are almost embedded into human activity, from robust work stations to handy mobile phones. Security of data stored in memory is very important, and hence, observation must be made that these valuable data should not be thwarted by malicious means. Security in cache memory is a major issue in memory related applications such as smart cards and bio-metric implementations.

Cache, is a small and limited memory located between central processing …

Genomic Surveillance Of Indian Klebsiella Pneumoniae And Exploration Of Resistance Inhibitors, Abhirami Ks Ms

Theses and Dissertations

Klebsiella pneumoniae is an important ESKAPE pathogen that causes life threatening infections. The strains exhibiting multidrug-resistance (MDR) and hypervirulence are the priority pathogens for which immediate treatment and dissemination prevention strategies are required. To address this, genome profiling was performed to understand the AMR patterns, role of episomes, phages, virulence determinants and its association with sequence types.

The study includes 267 publicly available Indian K. pneumoniae genomes over a period of ten years and four sequenced isolates. Whole genome analysis revealed the widespread presence of diverse β-lactamase genes, with β-lactam resistance being predominant. Genes such as blaCTX-M-15, blaTEM-1B and blaOXA-232 …

An Investigation Of Ichthyophonus Infection Related In-River Mortality In Yukon River Chinook Salmon From Multiple Knowledge Systems: Indigenous, Local, And Western Science, Keith D. Herron

Fisheries

The recent historic low salmon returns in the Yukon River contribute to an ongoing humanitarian crisis for subsistence users and Indigenous Peoples with cultural and well-being ties to salmon. After over a decade of relative calm, the marine parasite Ichthyophonus has undergone a resurgence and is once again infecting Yukon River Chinook salmon (Oncorhynchus tshawytscha; king; Taryaqvak; Ggaal; Gath; Łuk choo, hereafter referred to as king salmon) at high rates, with currently unknown consequences for survival of migrating adults. This thesis pairs multiple knowledge systems to assess the prevalence, severity, and impact of Ichthyophonus on adult Yukon River king salmon …

Geotechnical Investigation Of Sand Flow Slides, Haines, Alaska, Christopher Kalev

Engineering

The Lutak Spur (LS) - a prominent glacio-deltaic landform located near Haines, Alaska - formed during the retreat of the Cordilleran Ice Sheet during the Last Glacial Maximum. This study evaluates its geologic evolution, soil development, and hydrologic-slope stability response to a December 2020 atmospheric river (AR) event, which triggered multiple slope failures. Geologic mapping and interpretation of previous work suggest that the LS formed as an ice­ contact kame delta at the margin of a retreating valley glacier. Following deglaciation, post­ glacial isostatic adjustment and sea-level changes exposed the LS surface, allowing for the development of Spodosols with iron-cemented …

Effect Of Climate Change On Arctic Water Quality, Karki Sarthak

Engineering

Climate change is fundamentally altering Arctic hydrological systems, impacting water quality and posing challenges for communities dependent on these vulnerable sources. This study examines water quality trends across three distinct Arctic contexts: (1) Arctic glaciers, (2) the Yukon River Basin (YRB), encompassing a five-year dataset (2019-2023) of dissolved organic carbon (DOC), sulfate, and stable water isotopes (δ2H, δ18O, and d-excess) across varying permafrost regions and seasons, and (3) Shishmaref, Alaska, where a washeteria-based drinking water system is affected by environmental and seasonal changes triggered by climate change and coastal erosion. By addressing both regional hydrology and community-specific challenges, the study …

Design And Assembly Of A Low-Cost Active Vacuum Insulation Automatic Control System, Micah Vanderhart

Engineering

Vacuum insulated panels (VIPs) are a developing type of insulation that use an airtight volume evacuated of air to achieve thermal resistivity values as high as ten times that of traditional insulation. One of the areas of use for VIPs is the building industry, but adoption is slow due to issues such as air leaks causing panel degradation over time, panel fragility, and the inability to customize VIP dimensions on-site. These issues have the potential to be solved by utilizing active VIPs, which have a vacuum pump permanently connected to them, allowing them to be periodically evacuated. The purpose of …

Hazard Identification And Analysis For Equipment-Related Fatal Incidents In The Us Underground Coal Mining, Ebenezer Kofi Anthony

Engineering

This study investigates equipment-related fatal incidents in U.S. underground coal mining from 1993 to 2023, analyzing trends, causes, and the effectiveness of safety measures. Using data from the Mine Safety and Health Administration (MSHA), this study examined 205 fatalities linked to continuous miners, shuttle cars, roof bolters, load-haul-dump (LHD) vehicles, longwall systems, and hoisting equipment. A mixed-methods approach combines the quantitative analysis of accident trends with qualitative models, such as Failure Mode and Effects Analysis (FMEA) and Bowtie Analysis. The findings revealed that powered haulage and machinery accidents were the leading causes of fatalities, with mechanical failures (40%), human errors …

Seasonal Predictability Of Sea Ice And Boreal Fire In Alaska, Cecilia Borries-Strigle

Atmospheric Sciences

Attribution studies have shown that warming Arctic temperatures have led to a substantial loss of sea ice and an increase in large wildfire seasons. With wildfire and sea ice decline impacting everyday life by disrupting transportation or damaging infrastructure, for example, a clear need for skillful forecasts at seasonal timescales has emerged. This dissertation addresses critical challenges in seasonal prediction for wildfire and sea ice in Alaska. The first study evaluates outlooks of Buildup Index derived from three seasonal forecasts to assess their skill in predicting fire conditions. Forecast skill is greatest during the wind (April 1-June 10) and drought …

Performance Analysis Of Pem Fuel Cells Via Puma Optimizer With The Aid Of Practical Verifications, Hossamm Ashraf, Sameh O. Abdellatif, Mahmoud M. Elkholy \, Attia A. El-Fergany

Electrical Engineering

This manuscript presents a novel application of the recently developed Puma Optimizer (PO) for identifying the unknown parameters in Mann’s model, which is widely used for characterizing the behavior of Polymer Electrolyte Membrane Fuel Cells (PEMFCs). The proposed PO-based methodology is rigorously evaluated using three test cases. One test case involves experimental I–V measurements under various operating conditions from a commercial PEMFC stack, the Horizon H-100 (100 W), which was assembled and tested in the laboratory. The other two cases are established benchmark PEMFC systems, the Ballard Mark V 5 kW and BCS 500 W units. Comprehensive statistical analyses over …