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Articles 272851 - 272880 of 5212026
Full-Text Articles in Entire DC Network
Experimental And Numerical Investigation Of Combined Mechanical, Electrical, And Thermal Response Of Lr61 Alkaline Batteries At Various Loading Rates, Abigail C. Schauer
Experimental And Numerical Investigation Of Combined Mechanical, Electrical, And Thermal Response Of Lr61 Alkaline Batteries At Various Loading Rates, Abigail C. Schauer
Theses
Lithium batteries are present in most electronic devices and machines but pose a serious threat to users if they are over heated, over charged, or otherwise physically damaged. In order to better understand the underlying causes of lithium battery fires, testing procedures at various rates of low, intermediate, and dynamic are established with less volatile 1.5 V LR61 alkaline batteries. The various rates are to cover representative loading rates from scenarios ranging from dropping a cell phone a short distance to a high-rate drone collision with an aircraft. Material characterization is also done on the metal casing to better understand …
Efficient Lossless Compression Of Malaria Infected Image Datasets Using Vision Transformers And Deep Autoencoders, Md Firoz Mahmud
Efficient Lossless Compression Of Malaria Infected Image Datasets Using Vision Transformers And Deep Autoencoders, Md Firoz Mahmud
Theses
In the field of medical imaging, lossless compression techniques play a critical role in maintaining the fidelity of medical data, while improving the efficiency of data storage and transmission, especially in telemedicine applications. This thesis addresses the development of a novel machine learning-based method for lossless compression of images of erythrocytes infected with malaria. The proposed method has two stages. In the first stage, a Vision Transformer, a computer vision model that can learn long-range dependence, is employed to separate erythrocyte images into two categories: infected and uninfected. This classification stage is essential as it allows the subsequent compression approaches …
Performance Comparison Of Variable Center Body Configurations For A 25 Mm Rotating Detonation Rocket Engine, Kaito Jonathan Durkee
Performance Comparison Of Variable Center Body Configurations For A 25 Mm Rotating Detonation Rocket Engine, Kaito Jonathan Durkee
Theses
Rotating detonation rocket engines (RDREs) are propulsion devices that harness circumferentially traveling detonation waves, providing theoretical benefits compared to classical, deflagration-based combustors. Because of the integration challenges posed by typical annular (Center Body, CB) RDREs, a cylindrical (Center Bodiless, CBL) chamber geometry is attractive. To understand the corresponding trade-offs for small-scale devices, the performance and operational characteristics for a 25 mm with removable 15 mm center body are compared using gaseous methane and hydrogen with oxygen, operating at varying equivalence ratios and at a total mass flow rate of 0.076 kg/s and varying mass flow rates at an equivalence ratio …
Internal Kinematic Structure And Environment Of An Extremely High-Shear, Low-Cape Qlcs Across North Alabama On 03 March 2023, Caleb Kiser
Theses
During the morning of 03 March 2023, a potent Quasi-Linear Convective System (QLCS) impacted northern Alabama, The QLCS was characterized by extremely High Shear and Low CAPE (HSLC), with CAPE below 500 Jkg-1 and 0-6 km wind shear approaching 49 ms-1. A total of 315 damaging straight-line wind reports were noted by the SPC, with the majority of those occurring across the southeastern US. This study examines the mesoscale variability in vertical wind profiles (VWPs) and storm-relative helicity (SRH), including documenting the presence of extreme shear and the variance in SRH magnitudes across northern AL. VWPs indicated that wind shear …
170 Years Of San Francisco Sea Level Pressure, Brendan Heaven
170 Years Of San Francisco Sea Level Pressure, Brendan Heaven
Theses
This data-recovery project and subsequent data analyses address the construction of a continuous, long instrumental record of sea level pressure for San Francisco, California, USA and examines what the time series may reveal about atmospheric patterns through time. Atmospheric pressure is a physical component which is associated with both daily and seasonal weather phenomena and is one of the most robust of the meteorological variables. Observational data of surface pressure (SFP) and later sea level pressure (SLP) were accessed from digital archives, with a large part of these being manually keyed from original observations on paper. San Francisco, being near …
Analyzing Code Generation By Ai Models: An Anova-Based Study Of Quality, Consistency, And Composite Ranking, Rajavi Gontiya
Analyzing Code Generation By Ai Models: An Anova-Based Study Of Quality, Consistency, And Composite Ranking, Rajavi Gontiya
Theses
As generative Artificial Intelligence(AI) tools become increasingly common in software development, there is a growing need to understand how well these tools perform beyond just producing code that runs. This thesis examines the performance of four popular generative AI models, ChatGPT (GPT-4 mini), GitHub Copilot, Code LLaMA 3.3, and DeepSeek Web, in generating code that is not only functionally correct but also efficient and maintainable. To do this, we tested each model on six real-world-style coding problems sourced from LeetCode, covering a range of algorithmic challenges like dynamic programming, graph traversal, and array manipulation. Using a consistent prompting strategy, we …
Expression, Purification, And Characterization Of The Angiopoietin-Like 4 Protein N-Terminus, Alexis Leann Paskach
Expression, Purification, And Characterization Of The Angiopoietin-Like 4 Protein N-Terminus, Alexis Leann Paskach
Theses
This research focused on developing protocols to express and purify the N-terminus of angiopoietin-like protein 4 (nANGPTL4), and identify its structural characteristics to understand its possible contribution to cancer metastasis. Bacteria expression was optimized by adding magnesium, calcium, and glycerol to the initial Luria-Bertani (LB) broth incubation, then transferring to Terrific Broth (TB) for induction. Purification was enhanced through overnight nickel resin suspension, extended sonification, and buffer adjustments. Protein recovery was further improved by transferring size exclusion columns to G50 superfine resin. Protein purity was analyzed using SDS-PAGE and native gel electrophoresis, while protein content was determined through UV-Vis spectroscopy. …
Deep Learning Time Series Prediction Strategies For Efficiently Emulating Noah Land Surface Model Soil Moisture Dynamics, Mitchell T. Dodson
Deep Learning Time Series Prediction Strategies For Efficiently Emulating Noah Land Surface Model Soil Moisture Dynamics, Mitchell T. Dodson
Theses
This work examines the ability of deep learning time series generative models to accurately and efficiently emulate the hourly temporal dynamics of the Noah Land Surface Model (Noah-LSM) out to a 2 week forecast horizon, given atmospheric forcings and static parameterization provided by the second phase North American Land Data Assimilation System (NLDAS-2) framework. Results from multiple neural network architectures are compared alongside variations in prediction target, loss function characteristics, and model properties. The most performant model types are subsequently evaluated with respect to forecast distance, annual seasonality, and against a variety of regional scenarios, including several event case studies. …
Ai Enabled Scrabble Scoring System : Design And Implementation, Aditya Narayan Jha
Ai Enabled Scrabble Scoring System : Design And Implementation, Aditya Narayan Jha
Theses
The scope of this thesis is to present an AI-powered system for automatically scoring real-world Scrabble games using computer vision and deep learning. To achieve this purpose a DeepLabv3 model is trained to segment the board from top- down images, while an EfficientNet-B0 classifier identifies individual tile characters, including blank and empty tiles. The system continuously tracks the gameplay by detecting newly placed tiles and applies official Scrabble rules to compute scores, including crosswords, bonus tiles, and bingo logic simultaneously. The scoring engine supports multi-move gameplay, player turns, and endgame handling. All moves are visualized with a color-coded board and …
Subterranean Drought Classification And Ecological Risk In Karst Systems, Shaelyn Deal
Subterranean Drought Classification And Ecological Risk In Karst Systems, Shaelyn Deal
Theses
Cave ecosystems depend on stable groundwater inputs, yet no standard method exists for detecting subterranean drought. This study develops a framework to define and monitor drought in karst cave systems by adapting surface-based hydrologic indicators. Using long-term water level data from Bobcat Cave in northern Alabama, we identified drought events through percentile-based thresholds and evaluated multiple surface metrics, including the Standardized Precipitation Index (SPI) and deep-layer soil moisture, as predictors of cave drought severity. Random Forest models supported the selection of key indicators and informed classification thresholds. These thresholds were then applied across the Middle Tennessee Elk watershed to map …
Unbound Subgenres : Overlapping Age Categories In Contemporary Romance And Their Implications, London Stevenson
Unbound Subgenres : Overlapping Age Categories In Contemporary Romance And Their Implications, London Stevenson
Theses
This thesis aims to highlight the importance of genre labelling in contemporary romance fiction and the larger implications that come from the misuse of labels. Considerations of the genre based on narrative elements (Regis, 2003; Michelson, 2022), age categorization (Cart, 2011; Tribunella, 2007), and emerging market conditions (McAlister, 2018; Stewart, 2013) have generated considerable discussion over the last twenty-five years. While each of these scholars draws important conclusions about romance and its subgenres, none of them consider the significance of reader opinion, which is now enhanced due to literary digital spaces. In this paper, I examine nine romance novels for …
Sidelobe Reductions In Linear And Circular Phased Array Antennas Based On Hybrid Synthesis Techniques, Eli C. Brothers
Sidelobe Reductions In Linear And Circular Phased Array Antennas Based On Hybrid Synthesis Techniques, Eli C. Brothers
Theses
The concentration of electromagnetic waves within an angular space is made possible by radiating devices, typically realized in the form of an antenna. Hence, energy emitted or received outside of the intended field of view is manifested in the sidelobes and minor lobes of a radiation pattern, of which sidelobes are commonly responsible for unwanted interference and signal spread. To mitigate these issues, this study seeks to investigate the efficacy of a hybrid synthesis technique based on electrically displaced phase center antenna (E-DPCA) and partially-tapered methods in reducing the sidelobes of linear and planar arrays by optimizing the excitations of …
Evaluation Of Strain-Rate Sensitivity Of 3k70pw/Inf114 Woven Fiber-Reinforced Composite Material, Elias James Gerstein
Evaluation Of Strain-Rate Sensitivity Of 3k70pw/Inf114 Woven Fiber-Reinforced Composite Material, Elias James Gerstein
Theses
Fiber reinforced composites have seen continued use in aerospace and automotive industries due to their inherent high strength-to-weight ratios, which makes them ideal choices for vehicles where fuel economy is an important design factor. However, it is necessary for structures in these industries to preserve the life and safety of passengers in the event of a crash; thus, crashworthiness of these vehicles must be tested. Many finite element material models for simulating composite materials exist, but few take strain rate effects into account, which is important for accurate modeling of dynamic crash scenarios. LS DYNA MAT_213 is a material model …
An Evaluation Of The Idm Car-Following Model : Simulation And A Dynamical Systems Perspective, Trevor Mcclain
An Evaluation Of The Idm Car-Following Model : Simulation And A Dynamical Systems Perspective, Trevor Mcclain
Theses
The Intelligent Driver Model (IDM) is a car-following model that has existed since the early 2000s, existing as one of the most widely used follow-the-leader models to simulate safe and realistic driver behavior. In this work, the IDM is used to evaluate the suitability of ROS 2-Gazebo for vehicle simulation, showing that significant non-determinism is present within the simulation. Additionally, we evaluate the effects of delay and an inserted Followerstopper car following model on the traffic dynamics of the system. Specifically, the generation of stop-and-go waves in idealized traffic from a dynamical systems perspective is examined. We also show that …
A Mutually Exclusive 3d Convolution Based Time Dilation Framework For Future Frame Prediction In Video Streams Of Natural Events, Benjamin Robinson
A Mutually Exclusive 3d Convolution Based Time Dilation Framework For Future Frame Prediction In Video Streams Of Natural Events, Benjamin Robinson
Theses
In this thesis, a framework for predicting future frames from videos of naturally occurring processes will be presented. This is achieved by learning the underlying physical laws of the natural process through the exploitation of spatiotemporal features from the frames of the video. Our framework defines windows containing frames at varying time intervals, which we call dilations, and uses them to predict future frames using a 3D convolutional neural network (CNN). The network architecture accepts six time-dilated windows of input video frames and computes spatiotemporal features for each window maintaining the exclusion of the resulting features across three phases of …
Exploration Of Various In-Space Fuels With Differing Characteristic Timescales For Small-Scale Rotating Detonation Rocket Engines, Raj Tejas Dave
Exploration Of Various In-Space Fuels With Differing Characteristic Timescales For Small-Scale Rotating Detonation Rocket Engines, Raj Tejas Dave
Theses
This thesis summarizes the performance of a small-scale rotating detonation rocket engine (RDRE) using methane or hydrogen as the fuel with oxygen as the oxidizer. Specifically, a 25 mm RDRE with a 5 mm annular width and 31.2 mm length is experimentally evaluated at varying equivalence ratio for a fixed total mass flow rate of 0.076 kg/s, as well as varying total mass flow rate for fixed equivalence ratios of 1.25 and 1.00. Experimental measurements for the hot-fire tests include thrust, chamber pressure, specific impulse, and detonation mode parameters. For both sensitivity studies, hydrogen outperforms methane with a peak thrust …
Effects Of Band-K Reordering On Sparse Tensor Formats For Parallel Architectures, Shae Nicolas Bolt
Effects Of Band-K Reordering On Sparse Tensor Formats For Parallel Architectures, Shae Nicolas Bolt
Theses
This thesis presents a background in sparse tensor formats and a study of the effects of Band-K and lexi-ordering on the HiCOO sparse tensor format using the matricized tensor times Khatri-Rao product (MTTKRP). We provide a background of sparse tensors and tensors in general. We cover several foundational sparse tensor formats including CSR, BCSR, and COO, and extensions to those formats HiCOO and CSR-K. Furthermore, we discuss methods of reordering tensors using Band-K and lexi-ordering. Finally, we modify HiParTI to supporting Band-K reordering over slices and benchmark the results against lexi-ordering and natural ordering.
Evaluating The Accuracy Of Johnson-Cook Strain Rate Sensitivity For Fcc Aerospace Structural Materials, Sydney Carlota Resnick
Evaluating The Accuracy Of Johnson-Cook Strain Rate Sensitivity For Fcc Aerospace Structural Materials, Sydney Carlota Resnick
Theses
Understanding aerospace materials’ strain rate sensitivity is crucial for accurate designs and analysis for structural performance in dynamic loading conditions, such as rocket launches, airplane collisions, and debris impacts. Three common aerospace face-centered cubic (FCC) metals are evaluated through various strain rate tests and FEA and simulation modeling. Quasi-static and intermediate tests are performed on a hydraulic load frame, and dynamic tests are run on a split-Hopkinson pressure bar, all in tensile motion. This covers the range of strain rates from 1x10-3 s-1 to 1x103 s-1. Results reveal little strain rate sensitivity at room temperature for A286 steel and AL7075 …
Heat Transfer And Aerodynamic Losses Caused By Additively Manufactured Turbine Blades Enhanced By Micro-Machining And Chemical Polishing, Mason Hancock
Theses
As turbine engines are pushed to operate at higher temperatures and pressure ratios, turbine blades are forced to interact with more extreme conditions. Additive manufacturing (AM) offers new possibilities for meeting these challenges by allowing the fabrication of complex shapes from advanced materials like GRX-810, an alloy designed to maintain strength and durability at extreme temperatures. However, one of the trade-offs with AM is its inherently rough surface finish, which can vary depending on how the surface is treated after printing. This thesis investigates how different surface treatment methods, including micromachining and chemical polishing, as well as the untreated, as-built …
Optimizing Reliability And Design Efficiency Of Liquid Rocket Engines : A Structural Margin Approach For The Early Design Lifecycle, Mason Tudor
Theses
This thesis introduces a reliability-based design methodology aimed at mitigating costs incurred during the Test-Fail-Fix cycle for Liquid Rocket Engines (LREs) by addressing the limitations of the standard Factor of Safety (FoS) approach. By integrating a neural network informed by a structural model into a Bayesian framework for uncertainty quantification, the methodology enables the characterization of structural margin and early analysis of failure risks in the design lifecycle. A generalized 3D component geometry is subjected to typical LRE loading environments within Finite Element Analysis software to gather data for stress and strength distributions. These distributions serve as a foundation for …
The Elite And The Illicit: Women, Power, And History In Cormac Mccarthy’S All The Pretty Horses And Cities Of The Plain, April Trepagnier
The Elite And The Illicit: Women, Power, And History In Cormac Mccarthy’S All The Pretty Horses And Cities Of The Plain, April Trepagnier
College of Graduate Studies: Theses & Dissertations
Much of the discussion concerning female characters in Cormac McCarthy’s oeuvre revolves around assertions of narrative misogyny and subjection resulting from overly reductive criticism based on identity singularity. Had the critics taken this approach with McCarthy’s male characters, there would be little discussion of his work today as they, too, would have appeared as shallow stereotypes. Such readings are of limited interest or usefulness. Rather, when readers pay attention to the richness of the literary craft of McCarthy’s works, it is possible to read his male characters with great complexity. The same treatment, applied to his female characters, reveals precisely …
Contextual Augmentation In Artificial Intelligence, Emmanuel Joshua Balogun
Contextual Augmentation In Artificial Intelligence, Emmanuel Joshua Balogun
College of Graduate Studies: Theses & Dissertations
Contextual understanding is a significant challenge of Large Language Models (LLMs), which are typically trained on general-purpose datasets. Due to this, LLMs fail to capture nuanced or domain-specific information and may struggle to interpret user queries accurately. Consequently, prompt engineering can become complex in automating, and LLMs are prone to “hallucinating”—generating random or irrelevant texts—when they lack sufficient context. This undermines their ability to provide focused, accurate responses. Accordingly, this thesis seeks to enhance the contextual understanding capabilities of Artificial Intelligence systems to facilitate more precise and relevant answer generation. Study A looks into a new approach to combating misinformation …
Structured Conference Participation: Building Professional Identity In Preservice Mathematics Teachers
Proceedings of the Annual Meeting of the Georgia Association of Mathematics Teacher Educators
This paper describes a structured approach to engaging preservice teachers in professional mathematics education conferences through a combination of presentation or volunteer opportunities. We detail a small-scale program implemented at Author’s University that removes financial barriers to conference participation while providing scaffolded support and mentorship. The program design emphasizes building a community through shared experiences and structured reflection. We offer practical guidance for teacher preparation programs seeking to implement similar initiatives, including timeline considerations, mentoring structures, and assessment strategies.
Senir A-10018/2025, Royee Assis, Mayar Harb
Senir A-10018/2025, Royee Assis, Mayar Harb
Favissa: Past Archaeological Excavation Reports
In March 2025, a salvage excavation (Permit No. A-10018/2025; map ref. 26345-70/79448-65) was conducted in an area designated for the development and expansion of Kibbutz Senir. The excavation was carried out on behalf of the Israel Antiquities Authority and funded by the Upper Galilee Regional Council. The excavation was directed by R. Assis, with the assistance of M. Harb (field supervision), Y. Ya‘akobi (administration), V. Atrash (scientific consultation), and laborers from Kafr Sha‘ab.