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Genetic Algorithm Optimization To Maximize Sensitivity Of Triboelectric Mems Accelerometers, Yu Tian, Benyamin Davaji, Shahrzad Towfighian Aug 2025

Genetic Algorithm Optimization To Maximize Sensitivity Of Triboelectric Mems Accelerometers, Yu Tian, Benyamin Davaji, Shahrzad Towfighian

Mechanical Engineering Faculty Scholarship

A genetic algorithm is used to optimize the sensitivity of a triboelectric MEMS accelerometer fabricated using CMOS-compatible processes. The optimization focuses on the structural parameters of an awl-shaped serpentine microspring (ASSM) connected to the proof mass. Constraints are defined by microfabrication standards and the available chip area. Three different constraint problems are considered, and the algo- rithm yields designs with maximized sensitivity in each case. Simulations under various sinusoidal vibration scenarios show that the optimized designs significantly outperform the previous version, achieving a 2.72× improvement at 1000 Hz and up to 20× at 500 Hz.

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Advancing Workforce Development In Digital Health: A Regional Model From The Gcc, Manal Almalki, Osama El-Hassan, Jawad Ahmed, Amr Jamal, Mowafa Househ, Evelyn Hovenga, Paul Barach Aug 2025

Advancing Workforce Development In Digital Health: A Regional Model From The Gcc, Manal Almalki, Osama El-Hassan, Jawad Ahmed, Amr Jamal, Mowafa Househ, Evelyn Hovenga, Paul Barach

College of Population Health Faculty Papers

This study examines the evolution of ZIMAM's role in the Gulf Cooperation Council's (GCC) taskforce on workforce development in digital healthcare. Established in 2016 and formalized as a non-profit organization in 2023, ZIMAM integrates international best practices, regional insights, and innovative strategies to develop a scalable digital health knowledge and skills framework. ZIMAM's methodology includes competency mapping aligned with the Skills Framework for the Information Age (SFIA), stakeholder engagement, and iterative validation to ensure relevance and adaptability. Key ZIMAM initiatives encompass the development of governance structures, capacity-building workshops, annual conferences, and recognition programs such as the ZIMAM-ELSEVIER Digital Health Awards. …

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Development Of A Health Knowledge And Skill-Based Framework For The Digital Age, Evelyn Hovenga, Osama El-Hassan, Manal Almalki, Jawad Ahmed, Paul Barach, Mowafa Househ, Amr Jamal Aug 2025

Development Of A Health Knowledge And Skill-Based Framework For The Digital Age, Evelyn Hovenga, Osama El-Hassan, Manal Almalki, Jawad Ahmed, Paul Barach, Mowafa Househ, Amr Jamal

College of Population Health Faculty Papers

The Gulf Cooperation Council (GCC) region is tackling a significant digital healthcare workforce skills gap by creating a computable unified digital health competency framework and repository. Digital technologies and global competency standards are leveraged to professionalize the digital health knowledge domain and facilitate the development of clear career pathways in digital health. A mixed-methods approach was employed to develop the framework. A standardized categorial structure and information model has been developed to support the creation of this computable framework for workforce evaluation and competency-based career development.

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Enhancing Digital Health Development Through Speech Act Theory: Application To Peripartum Depression Management Aug 2025

Enhancing Digital Health Development Through Speech Act Theory: Application To Peripartum Depression Management

Faculty, Staff and Student Publications

The peripartum period is a time of complex transition into motherhood when women may develop peripartum depression (PPD). Digital information sources can help prevent and monitor symptoms through social support and mental health knowledge. However, few studies have characterized the content and form of peer interactions in PPD online forums to inform interventions. In this paper, we present preliminary work using a dataset of 55,301 interactions to inform our digital health development. We combine manual coding for speech acts, behavioral theory mapping, and user engagement modeling to conceptualize dynamic digital education modules for PPD. Results reveal "Expressive" speech act, where …

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Acute Toxicity Of Arsenate And Arsenite In Two Scleractinian Coral Species: Acropora Cervicornis And Orbicella Faveolata, Cailey Dorman Aug 2025

Acute Toxicity Of Arsenate And Arsenite In Two Scleractinian Coral Species: Acropora Cervicornis And Orbicella Faveolata, Cailey Dorman

All HCAS Student Capstones, Theses, and Dissertations

Inorganic arsenic (As), specifically arsenate (As(V)) and arsenite (As(III)) are well-documented toxicants to a range of marine organisms. However, their specific impacts on coral reef species remain largely unstudied. This study is the first to assess the acute and subacute toxicity of inorganic arsenic on two threatened scleractinian coral species, Acropora cervicornis and Orbicella faveolata. Corals were exposed for 96 hours to five analytically verified concentrations and a negative control of either arsenate or arsenite. Toxicity was evaluated through three endpoints: mortality (LC50), coral condition (EC50), and photosynthetic efficiency (IC50). The lethal concentrations to result in 50% mortality (LC50) …

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Vision-Based Estrus Detection: Integrating Yolo Segmentation, Thermal Imaging, And Depth Estimation For Precision Livestock Monitoring, Iyad Almadani Aug 2025

Vision-Based Estrus Detection: Integrating Yolo Segmentation, Thermal Imaging, And Depth Estimation For Precision Livestock Monitoring, Iyad Almadani

Electronic Theses and Dissertations Archive

Traditional methods for predicting sow reproductive cycles are expensive, labor-intensive, and expose workers to occupational hazards, including respiratory toxins, repetitive stress injuries, and mental health issues. On large farms with limited staff, managing individual sow health becomes increasingly difficult, underscoring the need for automated solutions. This is where computer vision offers a promising, non-contact method to detect estrus by analyzing vulva features like size and using thermal imagery to monitor temperature changes, which are key indicators of reproductive readiness. Automating this process enhances breeding efficiency by ensuring insemination occurs at the optimal time while continuously monitoring sows and alerting staff …

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Experimental Investigation Of Strongly Coupled Finite Clusters In Two-Dimensional Dusty (Complex) Plasma, Ravi Kumar Aug 2025

Experimental Investigation Of Strongly Coupled Finite Clusters In Two-Dimensional Dusty (Complex) Plasma, Ravi Kumar

Electronic Theses and Dissertations Archive

Dusty plasma, also known as Complex plasma, are ionized gases containing nanometers – to – micrometers sized particles (often referred as dust). The dust particles instantaneously get negatively charged due to high-mobile electrons present in the background plasma. These charged dust particles confined in a planar (two-dimensional) geometry interact through long-range forces (screened-Coulomb) exhibiting strongly coupled behavior, analogous to those in condensed matter and real 2D materials. This makes complex plasmas an ideal experimental platform to investigate the fundamental classical dynamics of strongly coupled many-body systems, such as phase transitions, configurational and thermodynamic properties. In condensed matter the direct observation …

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Towards Applying Artificial Intelligence To Solve Np-Complete Problems Using Quantum Computing, Andrew Robert Haverly Aug 2025

Towards Applying Artificial Intelligence To Solve Np-Complete Problems Using Quantum Computing, Andrew Robert Haverly

Theses and Dissertations

This dissertation explores the methodology for more thoroughly entangling artificial intelligence and quantum computing. This is explored through a background search of problems solved using Grover’s quantum algorithm, a new quantum protein folding and drug discovery algorithm, using Grover’s algorithm to train quantum artificial neural networks, using quantum artificial neural networks for reinforcement learning, mapping classical assembly instructions to quantum circuits to make quantum programming easier, and using prompt engineering to get a classical artificial intelligence agent to solve an NP-Complete problem using a Grover’s algorithm. This method not only simplifies the creation of algorithms but also opens new avenues …

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Ex Vivo Evaluation Of Polyethylene Cable Compared To Stainless Steel Cerclage Wire In A Canine Fracture Model, Seila Natasha Day Aug 2025

Ex Vivo Evaluation Of Polyethylene Cable Compared To Stainless Steel Cerclage Wire In A Canine Fracture Model, Seila Natasha Day

Theses and Dissertations

A long oblique osteotomy model was created using paired canine cadaveric femurs. The osteotomies were stabilized with either three ultra-high molecular weight polyethylene (UHMWPE) cables (n=10) or three 18 gauge stainless steel loop cerclage wires (n=10). Cyclic testing was performed in four-point bending by applying increasing force at 2 Hz until construct failure, defined as ≥2mm of actuator displacement. Data analyzed included cycles to failure, load at failure, and dynamic stiffness. There was no statistically significant difference in any of the outcomes tested between constructs. Visible loosening was noted in all loop cerclage constructs. No visible loosening of the UHMWPE …

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Mapping Renewable Energy Opportunities: Increasing Rural Energy Resilience In Mississippi Through Extension And National Program Insights, Kaitlyn Brooke Gordon Aug 2025

Mapping Renewable Energy Opportunities: Increasing Rural Energy Resilience In Mississippi Through Extension And National Program Insights, Kaitlyn Brooke Gordon

Theses and Dissertations

There has been an increased interest in renewable energy opportunities in Mississippi in recent years but limited educational material on this topic and a lack of knowledge among residents on various renewable energy options. Therefore, the main objectives of this study were to 1) conduct a comprehensive review of renewable energy educational resources and 2) increase knowledge of renewable energy in youth through the development of a new statewide Extension program. The environmental scan resulted in 45 usable responses from 117 potential participants, and programmatic details were received for 54 Extension programs or other forms of educational material. Evaluation results …

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Synthetic Mrna Induced Tf1.17-Specific Antibody Response Against Tritrichomonas Foetus For Preputial Delivery In Bulls, Kenzie Mcatee Aug 2025

Synthetic Mrna Induced Tf1.17-Specific Antibody Response Against Tritrichomonas Foetus For Preputial Delivery In Bulls, Kenzie Mcatee

Theses and Dissertations

Bovine trichomoniasis, caused by Tritrichomonas foetus, remains a persistent reproductive disease in cattle due to asymptomatic carriage in bulls and lack of effective treatments. This thesis evaluated the use of synthetic mRNA to drive expression of TF1.17- specific antibodies, targeting a conserved surface adhesin essential for parasite colonization. Membrane-anchored and secreted IgG1 constructs were transfected into bovine kidney cells, resulting in time-dependent antibody expression verified via NanoLuc luminescence. In vivo, aerosolized mRNA administration to bull calves led to localized antibody expression in preputial secretions. Although immunofluorescence assays detected fluorescence signal, high background limited interpretation of specific binding to T. foetus. …

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Augmenting Healthcare Communication: Context-Aware Ai Frameworks For Clinical Decision Support And Automated Summarization, Subash Neupane Aug 2025

Augmenting Healthcare Communication: Context-Aware Ai Frameworks For Clinical Decision Support And Automated Summarization, Subash Neupane

Theses and Dissertations

Healthcare communication is plagued by fragmented medical knowledge, patient misunderstanding of care plans, and clinician burnout from documentation burdens. These inefficiencies cost the U.S. healthcare system over $300 billion annually due to preventable nonadherence and administrative waste [47, 19]. While Artificial Intelligence (AI) technology like Large Language Models (LLMs) offer potential solutions, existing systems fail to deliver personalized, context-aware guidance or automate documentation without sacrificing accuracy. This dissertation addresses these gaps through three novel context-aware AI frameworks such as MedInsight, ClinicSum, and ClinicDuo. MedInsight leverages a multi-source context augmentation approach to synthesize patient centric medical responses by integrating Electronic Health …

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Advancing Rangeland Vegetation Mapping Through Integrated Uav And Satellite Imagery: A Comparative Machine Learning Framework For Fractional Cover Classification, Nishat Shermin Aug 2025

Advancing Rangeland Vegetation Mapping Through Integrated Uav And Satellite Imagery: A Comparative Machine Learning Framework For Fractional Cover Classification, Nishat Shermin

Theses and Dissertations

This study presents a multi-scale remote sensing framework to classify fractional vegetation cover (FVC) across rangelands by integrating UAV multispectral imagery, LiDAR structural data, and multisource satellite inputs. Four machine learning models, ranging from UAV-only to fused UAV-LiDAR-Sentinel models, were developed and evaluated using Random Forest (RF) and Extreme Gradient Boosting (XGBoost) algorithms. The research was conducted at Martin Ranch, Texas, using Uncrewed Ariel Vehicle (UAV)-collected multispectral imagery, LiDAR-derived canopy height, and Sentinel-1/2 indices. Model 2 (UAV + LiDAR) emerged as the optimal model for balancing accuracy, processing time, and compatibility with ecological simulation tools. This model captures both spectral …

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The Case For Mass Media Communication Theories In The Study Of Artificial Intelligence: A Uses And Gratifications & Parasocial Interaction Theory Approach, Colin Farmer Aug 2025

The Case For Mass Media Communication Theories In The Study Of Artificial Intelligence: A Uses And Gratifications & Parasocial Interaction Theory Approach, Colin Farmer

Theses

This study analyzes communication and relationship building between textual generative Artificial Intelligence programs and their users through the lens of parasocial interactions and uses and gratifications. It measures loneliness, knowledge gaining, and task completion as the primary reasons motivating perceived relationship development with AI applications. Through a quantitative survey, it explores the connections between time spent using AI, as well as the previously mentioned factors and seeks to determine what influences a user’s perceived relationship with an AI chatbot program. Comparisons are also drawn between the relationships with AI and the user’s relationships with celebrities, further expanding the justification for …

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Analyzing Heat Transfer Mechanisms In Tapered Microgaps And Film Boiling With Computational Modeling Incorporating Nucleation Sites And Subcooled Fluids, Divyprakash Pal Aug 2025

Analyzing Heat Transfer Mechanisms In Tapered Microgaps And Film Boiling With Computational Modeling Incorporating Nucleation Sites And Subcooled Fluids, Divyprakash Pal

Theses

Applications such as nuclear reactors, data centers, and microelectronics require an understanding of the hydrodynamic and thermal behavior of liquid and vapor phases on heated surfaces. Phase change and interfacial dynamics enhance heat transfer in evaporation and condensation systems. This study simulates film evaporation, subcooled nucleate boiling, and confined boiling in tapered microgaps using customized Ansys Fluent with user-defined functions (UDFs) for sharp interface tracking and temperature-gradient-driven mass transfer. In film evaporation, the peak local heat transfer coefficient (HTC) reached 2170 W/(m²·K) at 0.5 mm film thickness. The maximum Nusselt number was 5.69 at 0.5 mm and the minimum was …

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Effect Of Arm Movement On Lower Body Muscle Contributions To Standing Long Jump Performance, Abigail Douglas Aug 2025

Effect Of Arm Movement On Lower Body Muscle Contributions To Standing Long Jump Performance, Abigail Douglas

Masters Theses

Previous jumping studies have proven that jumping with arm motion enhances performance compared to jumping without arm motion. The purpose of this study was to investigate the effect of arm motion on the muscle contributions of the lower extremities during the standing long jump using muscle-actuated modeling informed by experimental data. Specifically investigating how arm motion enhances performance at the muscle level and how the muscle contributions of the lower extremities differ in jumps with and without arm motion. Three male and three female participants performed three jumps with arms and three jumps without arms. The longest jumps with and …

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Policy Recommendations For Higher Education Institutions To Begin Advancing From Digital Transformation To Bifurcation, Noel Fitzpatrick, Paul Hayes, Jan Cornelius Schmidt, Ester Toribio-Roura, Ceri Almrott, Camila D’Bastiani, Dominik Gager, Gerald Gallagher, Paul Grimm, Alessandra Sannella, Stela Stoykova Aug 2025

Policy Recommendations For Higher Education Institutions To Begin Advancing From Digital Transformation To Bifurcation, Noel Fitzpatrick, Paul Hayes, Jan Cornelius Schmidt, Ester Toribio-Roura, Ceri Almrott, Camila D’Bastiani, Dominik Gager, Gerald Gallagher, Paul Grimm, Alessandra Sannella, Stela Stoykova

Research Outputs: 2025-Present

No abstract provided.

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The Effect Of Wall Temperature And Transpiration On Görtler Vortices In High-Speed Boundary Layers, Asmaa Ahaggach Aug 2025

The Effect Of Wall Temperature And Transpiration On Görtler Vortices In High-Speed Boundary Layers, Asmaa Ahaggach

Theses and Dissertations

Görtler vortices are counterrotating flow structures generated as a result of the imbalance between the wall radial pressure gradients and the centrifugal forces in a boundary layer developing on a curved surface. Their presence leads to secondary instabilities and increases the wall shear stress as they accelerate the transition from laminar to turbulent flow. These secondary instabilities can be mitigated using control techniques aimed at decreasing the energy and the wall shear stress. In this thesis, the combined effect of wall temperature and transpiration on Görtler vortices developing in supersonic and hypersonic boundary layers is investigated. Görtler vortices are excited …

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Load Balancing For Stream Processing In Edge Computing, Faiza Akram Aug 2025

Load Balancing For Stream Processing In Edge Computing, Faiza Akram

Theses and Dissertations

Unlike cloud-based systems, where resources are centralized for data processing and located at a distance from the source, leading to an increase in the response time, edge computing emerges as a transformative paradigm that processes the data closer to the sources to meet the application’s service requirements. Since the resources in edge computing are distributed and limited, load balancing is crucial. To ensure the prevention of bottlenecks and failures in resource-constrained environments, load balancing is an important aspect of edge computing as it optimizes resource utilization while maintaining the requirements of low-latency applications, improved fault tolerance, energy efficiency, adaptability, scalability, …

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Optical Trapping For The Study Of The Chemical And Physical Dynamics Of Single Particles, Yukai Ai Aug 2025

Optical Trapping For The Study Of The Chemical And Physical Dynamics Of Single Particles, Yukai Ai

Theses and Dissertations

This dissertation explores the combined technique of optical trapping and Raman spectroscopy (OT-RS) to study the physical and chemical properties, as well as the dynamic surface changes, of single aerosol particles in air. The study covers a wide range of aerosol types, including bioaerosols (such as pollen, bacteria, and fungi), dust particles (such as black carbon, terrestrial, and extraterrestrial materials), and liquid droplets (such as sea-spray aerosols). The optical trapping system used in this work is based on the universal optical trap (UOT), which is capable of trapping and manipulating a wide variety of particle types. These include both transparent …

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Determining The Toxic Threshold And Other Use Characteristics For Industrial Hemp Seed Oil Used For Wood Product Protection, Daylan M. Barnes Aug 2025

Determining The Toxic Threshold And Other Use Characteristics For Industrial Hemp Seed Oil Used For Wood Product Protection, Daylan M. Barnes

Theses and Dissertations

Plant-based wood treatments have been utilized for many years, with varying success. Oils such as those extracted from linseed (flax), tung, and hemp plants have been used for thousands of years as finishes on wood. These are all drying oils, which dry to a film when exposed to air. Hemp seed oil has a high fatty acid content and can take a long time to dry on wood products but is valued in woodworking for being easy to use, food-safe, and having little to no odor. In this study, cold-pressed hemp seed oil, blended with a soybean carrier oil, is …

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Fungal Resistance Of Citric Acid Crosslinked Chitosan Treated Wood, Samuel Jacob Barton Aug 2025

Fungal Resistance Of Citric Acid Crosslinked Chitosan Treated Wood, Samuel Jacob Barton

Theses and Dissertations

Chitosan (CH), a linear polysaccharide biopolymer derived from chitin, is known for its antimicrobial and antifungal properties. However, its natural hydrophilicity limits its application as a wood preservative. This study explores the crosslinking of chitosan with citric acid (CA) to improve its stability and hydrophobicity, aiming to enhance its efficacy as a wood preservative. The study investigates fungal resistance against Gloeophyllum trabeum (brown-rot) and Trametes versicolor (white-rot) fungi using the AWPA E-10 soil block test for pine and gum samples vacuum-treated and dip-treated with CH-CA concentrations (CH 6%/CA 3%, CH 4%/CA 3%, CH 2%/CA 3%, and CH 1.5%/CA 3%). The …

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Calibration And Validation Of The Thermal Finite Element Model For Er120s-G Wire Arc Directed Energy Deposition Using Infrared Cameras And Thermocouples, Joshua Mykl Bassett Aug 2025

Calibration And Validation Of The Thermal Finite Element Model For Er120s-G Wire Arc Directed Energy Deposition Using Infrared Cameras And Thermocouples, Joshua Mykl Bassett

Theses and Dissertations

Wire Arc Directed Energy Deposition (WA-DED) is a promising additive manufacturing method for producing large metallic components with high deposition rates and low costs. However, its rapid heat input can lead to residual stress, microstructural changes, and dimensional inaccuracies. Accurate thermal modeling is essential to mitigate these effects. This study presents a thermal calibration of a finite element model (FEM) for ER120S-G using thermocouples and infrared (IR) imaging. Thermal data were gathered from three experiments to complete the calibration of the FEM . Calibration focused on tuning the Goldak heat source parameters, power efficiency, and heat transfer coefficients to minimize …

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Autonomous Generation Of Ids Rules From Threat Intelligence, Azim Bazarov Aug 2025

Autonomous Generation Of Ids Rules From Threat Intelligence, Azim Bazarov

Theses and Dissertations

Signature-based Intrusion Detection Systems (IDS) detect malicious activities by matching network or host activity against predefined rules. These rules are derived from Cyber Threat Intelligence (CTI), which includes attack signatures and behavioral patterns obtained through automated tools and manual threat analysis, such as sandboxing. The CTI is then transformed into actionable rules for the IDS engine, enabling real-time detection and prevention of threats. The constant evolution of cyber threats necessitates frequent rule updates, which delay deployment time and weaken overall security readiness. Recent advancements in autonomous agentic systems powered by Large Language Models (LLMs) offer the potential for automatic IDS …

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Tools We Use: Evaluating Uav And Photogrammetry Workflows For Early-Stage Site Documentation; Comparative Analysis For Small Landscape Architecture Firms, Bryant Baugus Aug 2025

Tools We Use: Evaluating Uav And Photogrammetry Workflows For Early-Stage Site Documentation; Comparative Analysis For Small Landscape Architecture Firms, Bryant Baugus

Theses and Dissertations

Landscape architects utilize advanced technologies in the design process. Advancements in automation and data capture have opened up new opportunities for UAVs and photogrammetry to produce high-resolution imagery, contours, and 3D models. By leveraging UAVs early in the design process, landscape architects are able to maximize advantages: site analysis through computational software, 3D sectional information, and hydrology prediction. This research focuses specifically on the advantages UAVs offer compared to established workflow methods. It examines four unique workflows for early-stage site documentation: capturing the site with UAVs through photogrammetry, generating a site plan from publicly available GIS data, gathering information from …

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Creating A Framework For Offering Alternative Credentials At Mississippi State University, Marian Montgomery Chancellor Aug 2025

Creating A Framework For Offering Alternative Credentials At Mississippi State University, Marian Montgomery Chancellor

Theses and Dissertations

As workforce demands evolve and learners seek more flexible, skills-focused education options, Mississippi State University’s College of Professional and Continuing Studies (CPCS) must innovate to remain responsive and competitive. This capstone project explores how MSU can design and implement a scalable framework for micro-credentials that align with employer needs, faculty expertise, and adult learner goals. Grounded in qualitative research, including interviews with faculty and industry leaders, the study identifies key workforce gaps—particularly in communication, leadership, and technical skills—and outlines a 6-stage development lifecycle for credential creation. Findings emphasize the importance of industry collaboration, applied learning, and policy support. The resulting …

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Regulating Artificial Intelligence In The U.S.: A Historical-Innovation-Inspired Framework, Di Kevin Gao Aug 2025

Regulating Artificial Intelligence In The U.S.: A Historical-Innovation-Inspired Framework, Di Kevin Gao

Theses and Dissertations

The emergence of OpenAI\textquotesingle s ChatGPT has marked the dawn of a new Artificial Intelligence (AI) era, unleashing a wave of user excitement, moral panic, and apocalyptic warnings. Yet, these concerns have done little to slow the breakneck pace of AI development and deployment. Should the United States adopt the European Union\textquotesingle s top-down, legislation-first approach, or follow the United Kingdom\textquotesingle s bottom-up, court-driven model? This research draws from historical legislative parallels in the U.S. By examining past regulatory frameworks for disruptive technologies, including electricity, automobiles, the telephone, broadband internet, nuclear technology, cryptocurrency, commodity futures, modern pharmaceuticals, and social media, …

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Extreme Artifacts Removal With Curriculum Learning, Sushant Gautam Aug 2025

Extreme Artifacts Removal With Curriculum Learning, Sushant Gautam

Theses and Dissertations

Restoring severely blurred images remains a significant challenge in computer vision, impacting applications in autonomous driving, medical imaging, and photography. This thesis introduces a novel training strategy based on curriculum learning to improve the robustness of deep learning models for extreme image deblurring. Unlike conventional approaches that train on only low to moderate blur levels, this method progressively increases the difficulty by introducing images with higher blur severity over time, allowing the model to adapt incrementally. Additionally, perceptual loss and hinge loss were integrated during training to enhance fine detail restoration and improve training stability. Various curriculum learning strategies were …

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Topnet R1: A Multi-Stage Ai Framework For Topic Discovery In Scientific Abstracts, Md Elias Hossain Aug 2025

Topnet R1: A Multi-Stage Ai Framework For Topic Discovery In Scientific Abstracts, Md Elias Hossain

Theses and Dissertations

Scientific abstracts are rich sources of knowledge, yet extracting meaningful topics remains challenging due to limitations in existing topic modeling techniques. Traditional methods often struggle with interpretability, scalability, and contextual understanding. To overcome these issues, we introduce TopNet R1, a multi-stage ensemble framework that integrates traditional topic models with contextual embeddings from Bidirectional Encoder Representations from Transformers (BERT) and Generative Pre-trained Transformer 4 (GPT-4) large language models (LLMs). Top- Net R1 operates in three phases: (1) topic generation using Latent Dirichlet Allocation (LDA), Non-Negative Matrix Factorization (NMF), Latent Semantic Analysis (LSA), and Hierarchical Dirichlet Process (HDP); (2) LLM-assisted pattern recognition …

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Spray Characterization And Fuel Property Analysis Of Tier 3 Gasoline In A Gdi System Using Machine Learning, Kyungwon Lee Aug 2025

Spray Characterization And Fuel Property Analysis Of Tier 3 Gasoline In A Gdi System Using Machine Learning, Kyungwon Lee

Theses and Dissertations

This study investigates the spray behavior of Tier 3 gasoline in gasoline direct injection engines using experimental methods. Tier 3 gasoline, formulated with lower sulfur content, enhances aftertreatment system efficiency and supports cleaner combustion. A comparative fuel property analysis between Tier 3 gasoline and PACE-20, surrogate fuel, was conducted to understand compositional effects on spray. A constant volume spray chamber and optical diagnostics, including diffuse back-illumination extinction, Schlieren, microscopic, and 3D CT reconstruction imaging, were used to examine spray morphology under varying injection conditions. Key spray parameters such as liquid volume fraction, projected liquid volume, droplet size, and cone angle …

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