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Articles 841 - 870 of 18423
Full-Text Articles in Entire DC Network
Exploring Audience Perceptions Of Elementary School Dance Curriculum: Utilizing Informance To Investigate Beliefs Regarding The Presentation Of Student Learning In Dance, Michaela Summers
Master's Theses
The goal of this thesis was to gain insight into the perceptions and expectations of audiences in relation to elementary school dance education curriculum and its representation through showcases or displays, particularly within the context of viewing an informance. The researcher developed three research questions to guide the study:
Q1 What are audience perceptions of elementary school dance education pedagogy and curriculum?
Q2 What methods do audiences expect to be implemented in an elementary school dance performance?
Q3 Can utilizing informances affect audience perceptions of elementary school dance education, thus changing their expectations for dance performance methods?
Thirty-eight audience members …
Psychological Impacts Of Competitive Dance: Understanding Mental Health And Team Dynamics Among Young Dancers, Gloria E. Brunner
Psychological Impacts Of Competitive Dance: Understanding Mental Health And Team Dynamics Among Young Dancers, Gloria E. Brunner
Master's Theses
The purpose of the research was to investigate deeply into the psychological aspects of competitive dance and its influence on the mental well-being of young dancers. Competitive dance has grown significantly in popularity, fueled by reality television shows and social media platforms, creating a high-pressure environment for participants. This research investigated the unique stressors faced by young dancers including performance anxiety, body image concerns, and burnout, while also identifying coping strategies and the positive personal development fostered through dance.
To uncover more information about the positive and negative effects of competition dance, the researcher focused the study on the following …
They Can't Know I Wanna Kiss Robots: Stigma And Audience Segregation In Fanfiction, Micah Arrow Callin
They Can't Know I Wanna Kiss Robots: Stigma And Audience Segregation In Fanfiction, Micah Arrow Callin
Master's Theses
Fanfiction writers have long faced public stigma, which emerged with the rise of fandom and, according to recent claims, may be lessening as fandom identities gain wider acceptance. However, the practice of fanfiction writers intentionally segregating their audiences remains a deeply embedded aspect of fandom culture, with limited understanding of its underlying motivations. The purpose of this study was to analyze the audience segregation employed by online fanfiction authors in order to understand why they choose to segregate their audiences, and specifically to determine the influence of social stigma on these choices, answering these main questions: Is there segregation between …
Exploring The Impact Of Dance Arts Integration On General Education Teaching Practices: Insights Into Classroom Environment, Planning, Instruction, And Assessment, Sara Kessler-Kennon
Exploring The Impact Of Dance Arts Integration On General Education Teaching Practices: Insights Into Classroom Environment, Planning, Instruction, And Assessment, Sara Kessler-Kennon
Master's Theses
The purpose of this research study was to explore the impact of dance arts integration facilitation on teaching practices by emphasizing classroom environment, planning, instruction, and assessment. The researcher created the following four essential questions to guide the study:
Q1 How does incorporating movement-based arts integration alter classroom environment, student behavior, student engagement, and inclusivity of students with various abilities and diverse backgrounds?
Q2 How does incorporating movement-based arts integration impact the general educators' planning time, process, style, and understanding? Does the general educator feel as though they can effectively incorporate movement-based arts integration without collaborating with a dance educator? …
Analyzing The Influence Of Faculty Diversity On Dance Education In Texas High Schools: A Case Study Of Representation In Dance Programs, Aransas Lazo
Master's Theses
The purpose of the study was to explore the relationship between cultural diversity among high school dance instructors and its subsequent impact on students' experiences in high school dance education. The researcher used two types of instrumentation to collect the data: semi-structured interview questions and an online survey. The semi-structured interview questions were researcher-developed and open-ended, allowing the eight participants to provide detailed responses regarding their experiences as a dance instructor, cultural diversity, Texas Education Association (TEA) standards, and the requirements for their dance program. The survey questions asked Yes/No/Unsure questions that involved such questions related to faculty diversity, cultural …
Body Positivity Via Costuming Performances In Grades Nine Through Twelve Dance, Kacey Valentine O'Keeffe
Body Positivity Via Costuming Performances In Grades Nine Through Twelve Dance, Kacey Valentine O'Keeffe
Master's Theses
This thesis explored the impact of body image and self-esteem on high school dancers and the pivotal role of dance educators in fostering a positive environment during concert preparations. The purpose of this research study was to determine if there was a correlation between promotion of health and wellness from dance educators and body positivity among high school dancers. The following research questions were addressed in this study:
Q1 What positively contributes to a dancers’ self-esteem and body image?
Q2 What is an effective solution for costume fitting methods to be used by dance educators while keeping their dancers’ safety …
Cutting Mechanisms And Control Systems Required For Precision Cutting With An Autonomous Lettuce Harvester, Aidan V. Fischer
Cutting Mechanisms And Control Systems Required For Precision Cutting With An Autonomous Lettuce Harvester, Aidan V. Fischer
Master's Theses
43% of California’s vast land is consumed for agricultural production to feed the United States and other nations Lettuce production alone brought in over $3 billion in 2022 in California. Most of the lettuce today is still harvested by hand using large groups of seasonal laborers; however, this has become increasingly difficult with an immigrant labor shortage. The objective of this study was to design a low-cost autonomous lettuce harvester prototype and evaluate the performance of the harvester capable of harvesting romaine lettuce preciously on a raised bed.
The harvester is equipped with an electrohydraulic control system that is used …
Victory Gardens: Helping On The Home Front, A Curriculum Outreach Project, Kelly Hoomes
Victory Gardens: Helping On The Home Front, A Curriculum Outreach Project, Kelly Hoomes
Master's Theses
The Victory Garden: Helping on the Homefront traveling trunk outreach project links past, present, and future by introducing students to the historical significance of World War II victory gardens and emphasizing the continued relevance today. Partnering with Kennesaw State University’s Museum of History and Holocaust Education (MHHE), the traveling trunk focuses on a fifth-grade audience, aligning with Georgia Standards of Excellence for Social Studies, Health, and Science. The traveling trunk designed as a “museum-in-a-box" includes primary sources, artifacts, and a practical gardening activity that fosters critical thinking and analysis. By encouraging an understanding of the past and the connections to …
Policies And Price Controls On The Research And Development Of Orphan Drugs In The United States And The European Union, Bena Pearl Filipczak Smith
Policies And Price Controls On The Research And Development Of Orphan Drugs In The United States And The European Union, Bena Pearl Filipczak Smith
Master's Theses
There is substantive literature surrounding the impact of price controls on the research and development (R&D) of new pharmaceutical products. The European Union (EU) and United States (US) are often studied in contrast to examine the influence of price controls as the US has fewer pharmaceutical price controls than the EU.
We find moderate evidence that the US spent more on annual domestic pharmaceutical R&D than the EU between 2004 and 2021, on average, before and after adjusting for GDP growth per capita and year. We find strong evidence that the US increased annual domestic R&D spending at a faster …
Real-Time Network Simulations For Ml/Dl Ddos Detection Using Docker, Luis D. Garcia
Real-Time Network Simulations For Ml/Dl Ddos Detection Using Docker, Luis D. Garcia
Master's Theses
As the integration of artificial intelligence (AI) within cybersecurity continues to
grow, machine learning (ML) and deep learning (DL) models are increasingly used to
detect cyber attacks. However, these models are rarely evaluated in real-time attack
scenarios to see how subtle changes from the real networking environment can affect
their predictions. To address this issue, we propose a scalable, platform-independent
Docker testbed specifically designed for simulating real-time Distributed Denial of
Service (DDoS) attack scenarios that allows researchers to deploy and evaluate their
pre-trained, ML and DL detection models. Our framework is simple to configure
and can run across Intel and …
Practical Model Of A Labview Controlled Active Magnetic Bearing On A Bently Rotor Kit Validated With Matlab And Msc Adams, Luis Herrera-Delgado
Practical Model Of A Labview Controlled Active Magnetic Bearing On A Bently Rotor Kit Validated With Matlab And Msc Adams, Luis Herrera-Delgado
Master's Theses
This thesis aimed to model a rotor supported by an active magnetic bearing (AMB). The magnetic force equation due to a single electromagnet was first derived which served as the basis of AMB modeling. The finalized model utilized Matlab, Simulink, and MSC Adams to simulate a rotor supported by an AMB. Matlab and Simulink were used to model the AMB control system and actuator output. MSC Adams was used to capture the dynamics of a flexible rotor. This model was verified by comparing the model’s simulated vibration to real vibration data measured from a modified Bently Nevada rotor kit equipped …
The Application Of Generative Ai For Sketch-To-Image Conversion, Jeremy J. Kozlowski
The Application Of Generative Ai For Sketch-To-Image Conversion, Jeremy J. Kozlowski
Master's Theses
Sketches have historically been the primary way to identify individuals when images are unavailable. Most commonly, this appears in a police investigation, where the police release a sketch to the public in an attempt to find a suspect. However, sketches occasionally do not provide much detail due to the limitations of both the witness and the artist. A poor sketch greatly hinders the public’s ability to identify someone, decreasing the chances they will be found. To improve upon this inefficient way of identifying individuals, we propose a new pipeline that leverages deep generative artificial intelligence models to create detailed images …
Peer Collaborative Networks In Undergraduate Computing Classrooms, Noah T. Ravetch
Peer Collaborative Networks In Undergraduate Computing Classrooms, Noah T. Ravetch
Master's Theses
Peers are an invaluable resource for students at undergraduate universities. Many factors can impact how students form connections, some of which are tied to the students’ identities. While social networks have been studied in the context of universities, little research has been done specifically about peer collaboration and even less in the context of computer science classes. Our research aims to gain an understanding of how peer networks form in computing classes and the effect of being involved in one on students’ academic performances. We collected survey data (n = 139) about students’ peer collaborative behaviors in computer science classes. …
Performance Of Multi-Composite Materials With Corrugated And Cell Geometries Under Low-Velocity Impact, Lukas S. Kolbl
Performance Of Multi-Composite Materials With Corrugated And Cell Geometries Under Low-Velocity Impact, Lukas S. Kolbl
Master's Theses
Composite structures have demonstrated great potential to improve mechanical performance in various applications, including ballistics protection. This study demonstrates that the integration of geometrically optimized composites into core-face sheet assemblies provide great impact resistance. The research investigated the performance of two composite manufacturing methods under low-velocity impact through residual strength and damage comparisons. Corrugated core composites were produced with traditional manufacturing methods, namely compression molding, using twelve stacking sequences. These stacking sequences were chosen to represent four laminate groups, where a unique fiber orientation scheme was employed across three laminate thicknesses (6, 8, and 12 layers). In contrast, honeycomb and …
Finite Element Analysis And Verification Of Transverse Mechanical Properties Of Generally Cylindrical Orthotropic Constitutive Modeling Of 3-Phase Nanocomposite Unit Cell, Christopher J. Hawkins
Finite Element Analysis And Verification Of Transverse Mechanical Properties Of Generally Cylindrical Orthotropic Constitutive Modeling Of 3-Phase Nanocomposite Unit Cell, Christopher J. Hawkins
Master's Theses
Fiber-reinforced composites are increasingly popular due to their specific strength and stiffness, making them ideal for high-performance applications. However, these materials primarily exhibit superior properties in-plane, while their out-of-plane characteristics remain comparatively weaker. Previous research has shown that the most effective method to enhance out-of-plane properties involves the incorporation of carbon nanotubes. Experimental tests have demonstrated significant improvements in properties such as tension, flexural, short beam shear, and fracture toughness. Alongside these experimental studies, analytical equations have been developed to predict the behavior of these composites under various loading conditions, including tension, bending, shear, and fracture. Existing models primarily address …
Bonsai Merkle Tree Streams: Bulk Memory Verification Unit For Trusted Program Verification System, Richard J. Rios
Bonsai Merkle Tree Streams: Bulk Memory Verification Unit For Trusted Program Verification System, Richard J. Rios
Master's Theses
Today, all modern computing systems are undoubtedly vulnerable to numerous types of attacks that could be targeted toward any layer of the system from dedicated hardware to highly abstracted software. Unfortunately, many devices and systems naturally contain inadequately protected components or software modules that un- dermine their security as a whole. Additionally, security is heavily variable system to system, and has a huge dependence on adequate implementation and ongoing support from device and software manufacturers. To address these various security issues in a very general way, TrustGuard, a containment security system utilizing an external device called the Sentry that would …
Photophoretic Optical Particle Trapping Improvements Using Beam Reflection, Ian A. Garcia, Xiaomin Jin Phd., Kun Hua Phd.
Photophoretic Optical Particle Trapping Improvements Using Beam Reflection, Ian A. Garcia, Xiaomin Jin Phd., Kun Hua Phd.
Master's Theses
Current research has shown that photophoretic optical trapping (POT) is a promising method for creating true three-dimensional holograms. A landmark study by Smalley et. al. at BYU was able to generate a full hologram within a 2 cm edge cube with remarkable success. However, a key drawback to this method is its poor ability to hold trapped particles within the focal point of the laser for an extended period of time. An investigation from our group presented at SPIE Photonics West 2023 sought to improve these results by varying the focal length of the trapping and the wavelength of the …
Investigating The Conversion Of A Signalized Intersection To A Turbo Roundabout, Vyshnavi P. Shetty
Investigating The Conversion Of A Signalized Intersection To A Turbo Roundabout, Vyshnavi P. Shetty
Master's Theses
Turbo roundabouts are multilane roundabouts that utilize a spiral design with raised lane dividers to guide traffic flow effectively. While they have seen widespread use in Europe, California is the second state in the US (after Florida) to have installed a turbo roundabout. Turbo roundabouts separate the ingress and circulating lanes. The concept was first proposed and implemented in the Netherlands to address safety concerns and improve traffic flow efficiency on conventional multilane roundabouts.
This research evaluates the first-ever turbo roundabout in California and compares its safety and operational performance with the previously existing 4-legged signalized intersection. The research team …
Joseph Moxon: Fueled By Science, Extinguished By Class. How A Forgotten Middle-Classed Early Modern English Puritan Printer Mathematician And Globe-Maker Helped Forge The Scientific Revolution And Democratize Knowledge Among The Trades, Kenneth L. Macro Jr.
Master's Theses
Joseph Moxon, raised within the trades, elevated into the middle-class, was an inducted Fellow of the Royal Society, Hydrographer to the King’s Most Excellent Majesty, Printer, Author, Translator, Maker of Globes and of Spheres, Maker of Maps and of Mathematical Instruments, Engraver, and Entrepreneur. Moxon was the quintessential Renaissance Man. A tradesman living in a time of great scientific intrigue and discovery, Moxon, acknowledged by few mid-seventeenth century historians, rightfully contributed his scientific discoveries—in the forms of tutorials and manuals written for the common man—as a testimony to all printers who have helped in the progression of the Scientific Revolution. …
Ultrasound Denoising And Speckle Reduction Using Artificial Neural Networks, Mark Atttaalla
Ultrasound Denoising And Speckle Reduction Using Artificial Neural Networks, Mark Atttaalla
Master's Theses
This paper focuses on improving speckle reduction and denoising performance in ultrasound images by leveraging neural networks. A dataset of simulated ultrasound images was created using Field-II simulation software based on CT scan images, to create clean and noisy image pairs. Various Convolutional Neural Network models based on U-Net and generative adversarial networks were developed and tested. Peak Signal-to-Noise-Ratio (PSNR) and Structural Similarity Index Measurement (SSIM) were used as metrics along with qualitative assessment. Results show that our tuned U-Net generator network outperformed traditional filtering such as Lee and BM3D.
Exploring Customer Behavior Through Emotion Detection, Darlington Omoifo
Exploring Customer Behavior Through Emotion Detection, Darlington Omoifo
Master's Theses
This thesis investigates the potential of emotion detection, gaze tracking, and hand movement analysis as tools to enhance understanding of customer behavior in retail environments. In retail, subtle indicators such as facial expressions, gaze direction, and hand gestures provide valuable insights into customer preferences and decision-making processes. The study leverages real-time video processing with a multithreaded approach on a Raspberry Pi-powered system embedded in a gift cart equipped with dual cameras. Using FER for emotion detection and a custom model for gaze and hand tracking, this research identifies customer engagement patterns, focusing on how emotions like happiness correlate with purchasing …
Dynamic Knowledge Elicitation: Leveraging Student Feedback For Improved Language Model Distillation, Reuven Muller
Dynamic Knowledge Elicitation: Leveraging Student Feedback For Improved Language Model Distillation, Reuven Muller
Master's Theses
Large Language Models (LLMs) have significantly advanced the field of natural language processing but remain resource-intensive and impractical for many organizations. Specialist models offer a viable alternative, often developed through Knowledge Distillation (KD) techniques. However, traditional KD methods rely on predefined static datasets to elicit knowledge from the teacher model, failing to dynamically address the weaknesses of the student model during training. This research introduces two novel methods for adaptive knowledge elicitation: Feedback-Driven Question Generation and Agent-Based Targeted Question Generation. These methods iteratively expand the training dataset based on the student model’s performance, leveraging a teacher model to generate targeted …
Techno-Economic Analysis Of Waste Plastic Gasification, Henrik Don-Yor Ketting
Techno-Economic Analysis Of Waste Plastic Gasification, Henrik Don-Yor Ketting
Master's Theses
The increasing generation of plastic waste and its environmental impact has driven interest in alternative disposal methods such as gasification. This study presents a techno-economic analysis of the gasification of waste plastics, specifically polypropylene (PP) and polyethylene (PE), to produce syngas. A two-stage process—thermal decomposition followed by steam reforming—was simulated using Aspen Plus. The simulation results were validated against experimental data available in the literature. The economic analysis was conducted by estimating the capital and operating costs of the gasification plant, considering factors such as feedstock costs, energy requirements, and syngas purification systems. Net Present Value Calculations were used to …
Are College Students' Grocery Shopping Habits Consistent With The Mediterranean Diet Guidelines? A Preliminary Report, Montana Grace Ayala
Are College Students' Grocery Shopping Habits Consistent With The Mediterranean Diet Guidelines? A Preliminary Report, Montana Grace Ayala
Master's Theses
The number of people diagnosed with cardiovascular disease, hypertension, obesity, and diabetes mellitus continues to grow. The Mediterranean diet has been shown to reduce the risks of developing heart disease. Fruit and vegetable consumption is low across the country. Improving fruit and vegetable consumption for adults might start with improving intake earlier in life because it can influence better food habits. Following the Mediterranean diet at a young age can prevent chronic diseases from developing. It is well known that college students have diets that are not consistent with healthy eating habits and can be influenced by the need for …
Experimental And Numerical Investigation Of Droplet Dynamics In Microscale Systems: The Influence Of Surfactants And Nanoparticles On Environmental Applications, Negin Bahadori
Master's Theses
Emulsions are suspensions of droplets dispersed into an immiscible liquid phase, with at least a water phase and an oil phase. The capability to incorporate both hydrophilic and hydrophobic components makes emulsions amenable to a variety of applications, such as bilgewater treatment and oil recovery. To optimize bilgewater treatment or oil recovery, many aspects must be considered, such as the effect of emulsion stability, the wetting conditions and, more in general, the possibility to characterize droplet’s behavior over static or dynamic conditions. This thesis investigates the roles of surfactants and nanoparticles in understanding droplet behavior in oil-water systems, with a …
Machine Learning-Driven Process Analysis And Optimization In Solid-State Welding And Fusion-Based Additive Manufacturing, Radif Uddin Ahmed
Machine Learning-Driven Process Analysis And Optimization In Solid-State Welding And Fusion-Based Additive Manufacturing, Radif Uddin Ahmed
Master's Theses
In the modern era of advanced manufacturing, optimizing process parameters is pivotal in ensuring the quality and reliability of sophisticated component fabrication. This study presents a novel, data-driven approach to parameter optimization in two cutting-edge manufacturing techniques: Friction Stir Welding (FSW) and Laser Powder Bed Fusion (LPBF). By leveraging machine learning methodologies, this research addresses the critical challenge of efficiently determining optimal process parameters, a task traditionally relying on time-consuming and resource-intensive trial-and-error methods. This study will lead to a robust data-driven framework for process analysis of more advanced manufacturing techniques like the Additive Friction Stir Deposition (AFSD) process. Friction …
Creatine And Depression In Rodents: A Meta-Analysis, Ruchika S. Tirupachur
Creatine And Depression In Rodents: A Meta-Analysis, Ruchika S. Tirupachur
Master's Theses
Traditional treatments for major depression are based on the monoamine deficiency hypothesis, and they fail to achieve remission in a substantial portion of patients. Newer evidence suggests the pathophysiology of depression is a more complex story, highlighting a need for research in alternative therapies. Mounting evidence shows a linkage between depression and the supplement creatine monohydrate (CRMH). Research in rodent models suggests that CRMH may both alleviate depressive symptoms and enhance the efficacy of standard antidepressants like SSRIs. The following study describes findings from a combined fixed- and random-effects meta-analysis based on four empirical studies investigating the effect of CRMH …
A Novel Reinforcement Learning Method For Efficient Cross-Training Between Real And Simulated Robots, Zhonglin Liang
A Novel Reinforcement Learning Method For Efficient Cross-Training Between Real And Simulated Robots, Zhonglin Liang
Master's Theses
Training reinforcement learning policy in a simulated environment can be a go-to choice for many research topics, as a simulated environment provides flexibility and costs less than building a physical environment for training. However, policy trained in a simulated environment often fails to transfer to the real environment for problems that have a more complex dynamics. As the solution, Sim2Real was proposed and it categorizes techniques that improve the performance of the transfer from simulation to reality. Sim2Real is an area of study that focuses on utilizing simulation data to train models that can apply to real world environment. It …
The Effects Of Stress On Attentional Networks, Alice Tsvinev
The Effects Of Stress On Attentional Networks, Alice Tsvinev
Master's Theses
The human brain has developed mechanisms to aid our survival, including attentional networks and stress response. Attentional shifts allow humans to react accordingly to their environment, following innate processes like fight or flight. Prolonged exposure to acute stress interferes with such cognitive processes as attention and working memory, impacting attentional systems. The present study examined the effects of acute stress on visual attention processes, specifically focusing on the orienting, alerting, and executive attention networks. 49 participants were randomly placed in either a stress or non-stress condition, then asked to reflect on either stressful or positive moments in their lives, respectively. …
The Impacts Of Recreational Infrastructure On Mammal Use Of Riparian Zones In Northern California Regional Parks, Emily A. Matthews
The Impacts Of Recreational Infrastructure On Mammal Use Of Riparian Zones In Northern California Regional Parks, Emily A. Matthews
Master's Theses
Public lands have been important for the protection of riparian habitats; however, many public lands are also used for recreation, which can reduce mammal habitat use. Understanding how mammals are affected by recreation in riparian areas can help guide management decisions. The goal of this research is to understand the effect of recreation on mammal use of riparian habitats in two popular East Bay Regional Parks, Charles Lee Tilden and Wildcat Canyon, and to map the extent of that impact. Cameras were deployed in the riparian areas of a high, moderate, and low development site (Alvarado, Tilden, and Wildcat Canyon) …