Digital Commons Network^™

A Phenomenological Study Of The Experiences And Teaching Strategies Of Private Music Instructors Working With Elementary School Students, Ana Maria Fusu-Kommidi

Theses and Dissertations

The lack of consistent elementary musical education in the United States has sustained a steady demand for private music instruction. Private instruction, however, does not usually align with the general music education standards, or the school requirements. There is a lack of research about private music instructors’ role in music education for elementary-aged students. The purpose of this study was to explore the experiences and teaching strategies of private music instructors who supplement elementary students' school-based music education. The two research questions were

RQ1: What are the experiences of private music instructors who supplement elementary students' school-based music education?

RQ2: …

Synthesis And Kinetic Investigation Of Oxidation In A Palladium-Methyl System, Richard A. Cardrino , '23

Senior Theses, Projects, and Awards

The current industrial syngas process for transforming methane to methanol is an indirect process that requires the initial oxidation of methane to carbon monoxide with a subsequent reduction to form methanol under high pressure and temperature conditions. An alternative green chemical process is desirable, especially one that directly oxidizes gaseous methane to liquid methanol under mild conditions with an environmentally benign oxidant, such as dioxygen. The current study investigates the synthesis of a novel palladium complex with activated methane and the selective oxidation of this complex resulting in the liberation of methanol under more ambient conditions, a model system for …

Object Tracking With An Event Camera, Nader Ahmed , '23, Rezhwan A. Kamal , '23

Senior Theses, Projects, and Awards

In this project, an event-based camera was used to develop a functional proof of concept for a procedural 3-D cube tracking system. Hough space shape detection was used to track the position of cube edges in the image space, and an optimization-based algorithm was used in conjunction for finding the pose of the cube. Additionally, a ghosting effect was seen following the trailing edge of events. A sensor model was developed for simulating and investigating this phenomenon.

Prevalence Of Hesperevax Sparsiflora Var. Brevifolia (Short-Leaved Evax) At Ocean Ranch, Humboldt County, California: Exploring The Effects Of Disturbance, Shelby Diquirco, Matthew Estrada, Alana T. Fraley, Alexander D. Smith

Environmental Science & Management Senior Capstones

The prevalence of special-status plants within a landscape can be an indicator of the ecological health of that site, and therefore inform restoration efforts and post-restoration monitoring. Hesperevax sparsiflora var. brevifolia (short-leaved evax) is a special status species found within the Ocean Ranch unit of Humboldt, California. A primary threat to native plant communities are invasive plant species. Coastal dune ecosystems are largely dominated by invasive species, including Ammophila arenaria (European beachgrass). To work towards the eradication of A. arenaria, the California Department of Fish and Wildlife utilized treatment combinations of herbicide and prescribed fire at Ocean Ranch in …

Understanding And Predicting Cognitive Improvement Of Young Adults In Ischemic Stroke Rehabilitation Therapy, Helard Becerra Martinez, Katryna Cisek, Alejandro Garcia-Rudolph, John Kelleher, Andrew Hines

Articles

Accurate early predictions of a patient's likely cognitive improvement as a result of a stroke rehabilitation programme can assist clinicians in assembling more effective therapeutic programs. In addition, sufficient levels of explainability, which can justify these predictions, are a crucial requirement, as reported by clinicians. This article presents a machine learning (ML) prediction model targeting cognitive improvement after therapy for stroke surviving patients. The prediction model relies on electronic health records from 201 ischemic stroke surviving patients containing demographic information, cognitive assessments at admission from 24 different standardized neuropsychology tests (e.g., TMT, WAIS-III, Stroop, RAVLT, etc.), and therapy information collected …

New Fxlmat-Based Algorithms For Active Control Of Impulsive Noise, Alina Mirza, Farkhanda Afzal, Ayesha Zeb, Abdul Wakeel, Waqar Shahid Qureshi, Ali Akgul

Articles

In the presence of non-Gaussian impulsive noise (IN) with a heavy tail, active noise control (ANC) algorithms often encounter stability problems. While adaptive filters based on the higher-order error power principle have shown improved filtering capability compared to the least mean square family algorithms for IN, however, the performance of the filtered-x least mean absolute third (FxLMAT) algorithm tends to degrade under high impulses. To address this issue, this paper proposes three modifications to enhance the performance of the FxLMAT algorithm for IN. To improve stability, the first alteration i.e. variable step size FxLMAT (VSSFxLMAT)algorithm is suggested that incorporates the …

Calcareous Nannofossils, Planktonic Foraminifera, And Revised Stratigraphy Of The Eocene Çayraz Formation; The Final Stage Of Marine Sedimentation In Central Anatolia, Turkey, Ali̇ Osman Yücel, Ercan Özcan, Rita Catanzariti, Aynur Hakyemez, Aral Okay, Tahsi̇n Atti̇la Çi̇ner, Ali̇ Akin

Turkish Journal of Earth Sciences

New field observations and discovery of calcareous nannofossils and planktonic foraminifera from the 'shallow-marine' Çayraz Formation (Haymana Basin, Central Anatolia), a contributing Eocene section to the shallow benthic zonation (SBZ) in the Tethys, allow us to revise its stratigraphy and establish an integrated biostratigraphic scheme for the first time. The hemipelagic marls in the uppermost part of the Eskipolatlı Formation that underlies the Çayraz Formation yielded nannofossil assemblages of Zone CNE3, pinning down the initiation of the Çayraz shelf system into the 'middle' Ypresian. The prominent marly part (Member B) between the carbonate-clastic packages of the Çayraz Formation with prolific …

Classifying Recaptured Identity Documents Using The Biomedical Meijering And Sato Algorithms, John Magee, Stephen Sheridan, Christina Thorpe

Academic Posters Collection

Recaptured identity documents are a low-cost, high-risk threat to modern eKYC systems. Bad actors can easily manipulate images and print them. Existing solutions typically demand manual review of remotely captured identity documents, this is expensive and does not scale. In 2022, the UK National Crime Agency estimated fraud cost business hundreds of billion pounds per year and document forgery is an area of investigation by Europol.

A Mode Sum Regularization Prescription In Quantum Field Theory In Curved Spacetimes In Higher Dimensions And For Charged Scalar Fields, Eoin Scanlon

Academic Posters Collection

Semi-classical gravity combines classical treatment of the gravitational field with quantum mechanical treatment of matter fields. A significant challenge however is the divergence contained within the stress-energy tensor when solving the semi-classical Einstein equations. This work extends to higher dimensions an extremely efficient method for renormalizing the stress-energy tensor of a quantum scalar field in spherically-symmetric black hole spacetimes, thereby removing the divergences. The method applies to a scalar field with arbitrary field parameters. The utility of the method is demonstrated by computing the renormalized stress-energy tensor for a scalar field in the Schwarzschild black hole spacetime for odd dimensions.

Feedback, Learning Outcomes And Mathematics Anxiety In A Digital Game Based Learning Approach In Mathematics Education, André Almo

Academic Posters Collection

Feedback is a crucial part of learning, and an essential element in digital game-based learning approaches, in which digital games - known as 'serious games' - are used to deliver educational content. Feedback features respond to players' actions within the game, providing them with information and guidance, as well as potentially impacting their learning, motivation and engagement. However, these features may be designed differently, since they include various distinct characteristics and dimensions. This work proposes a new taxonomy for feedback features in serious games, with an emphasis in game design aspects, in order to provide clearer descriptions and distinctions of …

Cslinc: A Nationwide Cs Mooc For Second-Level Students, Karen Nolan, Keith Quille, Brett A. Becker

Academic Posters Collection

This poster introduces CSLINC, a free scaffolded MOOC framework tailored to second-level students in Ireland that consists of: an online platform built for accessibility; a suite of modules developed upon international best practices with varying co-creators; and automated assessment and certificates of completion. Its aim is to provide content to promote national CS curricula to all second-level students in Ireland. In September 2021, CSLINC launched to 10,000 students across 100 schools. Future work will include collecting and collating research to validate CSLINC’s goals, scaffolding that will build foundations for national curriculum learning outcomes, and measure its impact on students, their …

A Framework For Confusion Mitigation In Task-Oriented Interactions, Na Li, Robert J. Ross

Academic Posters Collection

Confusion is a mental state that can be triggered in task-oriented interactions and which can if left unattended lead to boredom, frustration, or disengagement from the task at hand. Previous work has demonstrated that confusion can be detected in situated human-robot interactions from visual and auditory cues. Therefore, in the next step, we propose appropriate interaction structures in this study, which should be used to mitigate confusion. We motivate and describe this dialogue mechanism through an information state-style dialogue framework and policies, and also outline the approach we are taking to integrate such a meta-conversational goal alongside core task-oriented considerations …

Techmate: A Research-Driven Toolkit To Enhance Gender Balance In Computing Education, Alina Berry, Sarah Jane Delany

Academic Posters Collection

This poster presents a toolkit of practical initiatives and guidance on how to enhance gender balance in computing higher education. The suggested initiatives are designed in the way that could be adapted for a use in a local context, especially in universities in the UK or in Ireland. The initiatives are categorised under four main areas: Policy, Pedagogy, Influence & Support and Promotion & Engagement. Additionally, guidance is given on mechanisms to evaluate the impact of these initiatives. This work will be of interest to champions looking to enhance gender balance in their computing courses.

They Followed The Cheese - Visual Web-Based Experiments Showcasing The Opportunities Available For The Presentation Of Information In Ar, Nina Lyons

Academic Posters Collection

The desktop paradigm bridged a sizeable usability gap at a time before the term “usability” became a conscious objective goal of developers. Mapping the capabilities of the computer to how a user understands their work desk, helped users understand how to interact with a computer. The paradigm has evolved and continues to evolve and reshape itself in different platforms. However, the UIs still rely heavily on established laws and principles that suit the conditions of screens. AR has the opportunity to leverage Semiotic Extension to create context relevant UIs that rely on the focus of the real-time view to inform …

Fired Shards From Selected Ancient Anatolian Ceramics: A Brief Review Of Their Mineralogical Nature And Pedological?Microstructural Evolution, Seli̇m Kapur, Selahatti̇n Kadi̇r, Gilbert Kelling, Erhan Akça, Mustafa Topaksu, Necdet Sakarya, Zehra Yeği̇ngi̇l, Muhsi̇n Eren, Ewart Adsil Fitzpatrick

Turkish Journal of Earth Sciences

This review is concerned with some key features observed within grouped samples of ancient ceramics that provide important evidence concerning the selection of appropriate raw materials and the evolution of the firing technologies employed in their production. It also demonstrates the importance of distinguishing and accounting for the mineralogical and microstructural attributes and identifying the processes responsible for the microstructural evolution of these ancient ceramics. The mineralogy largely reflects both the nature of the raw materials used and the maximum temperatures achieved during firing, deduced from the presence of specific high temperature minerals (HTMs). The microstructural evolution processes, deduced by …

Structural Analysis And Interpretation Of Deformation Along The Keweenaw Fault System From Lake Linden To Mohawk, Michigan, Nolan G. Gamet

Dissertations, Master's Theses and Master's Reports

The Keweenaw fault is likely the most significant and most studied fault associated with the Midcontinent Rift System. The fault roughly bisects the Keweenaw Peninsula and places Portage Lake Volcanics (~1.1 Ga) over much younger Jacobsville Sandstone (~1.0 Ga). Published bedrock geology maps with cross sections from the 1950s show the fault as a single continuous trace that is locally associated with smaller cross faults and splays. The accompanying cross-sections show hanging-wall volcanic strata having a well-defined, listric geometry with dip decreasing away from the fault to the northwest.

This M.S. thesis presents a structural analysis and interpretation of the …

Dynamic Mode Decomposition Approach For Estimating The Shape Of A Cable, Yash Manik Chavan

Dissertations, Master's Theses and Master's Reports

This study investigates the dynamic behavior of a flexible cable with heterogeneous stiffness using a data-driven approach. The study aims to develop accurate models describing intricate structures with rigid or flexible components. To achieve this, reflective markers were attached to the cable at equal spacing, and the motion was manually excited and captured using an 8-camera setup and OptiTrack's Motive software.

The cable displacement data at the marker locations were used as initial conditions for various Dynamic Mode Decomposition (DMD) models. The performance of the data- driven cable model is compared against the performance of the DMD modeling approach, fitting …

Knowledge Discovery On The Integrative Analysis Of Electrical And Mechanical Dyssynchrony To Improve Cardiac Resynchronization Therapy, Zhuo He

Dissertations, Master's Theses and Master's Reports

Cardiac resynchronization therapy (CRT) is a standard method of treating heart failure by coordinating the function of the left and right ventricles. However, up to 40% of CRT recipients do not experience clinical symptoms or cardiac function improvements. The main reasons for CRT non-response include: (1) suboptimal patient selection based on electrical dyssynchrony measured by electrocardiogram (ECG) in current guidelines; (2) mechanical dyssynchrony has been shown to be effective but has not been fully explored; and (3) inappropriate placement of the CRT left ventricular (LV) lead in a significant number of patients.

In terms of mechanical dyssynchrony, we utilize an …

On The Gaussian-Core Vortex Lattice Model For The Analysis Of Wind Farm Flow Dynamics, Apurva Baruah

Dissertations, Master's Theses and Master's Reports

Wind power science has seen tremendous development and growth over the last 40 years. Advancements in design, manufacturing, installation, and operation of wind turbines have enabled the commercial deployment of wind power generation systems. These have been due, in a large part, to the expertise in the simulation and modeling of individual wind turbines. The new generation of wind energy systems calls for a need to accurately predict and model the entire wind farm, and not just individual turbines. The commercial deployment of these wind farms depends on model's ability to accurately capture the different physics involved, each at its …

Development And Implementation Of A Ngss Curriculum Unit For Astronomy In Ninth-Grade Earth And Space Science, Jessica Hughes

Graduate Research Papers

Since the release of the NGSS in 2013, there has been a gap in available curricula that is aligned with the new standards. To fill this gap, I created and implemented a unit of study aligned to the Next Generation Science Standards (NGSS) on the topic of astronomy for a ninth grade earth and space science course. Much of the available curriculum is above the level of ninth grade students. This curriculum approaches the astronomy standards at the level of ninth grade students.

The research questions were “how well does the curriculum prepare students for the disciplinary core ideas (DCIs) …

Prediction Of Sumoylation Sites In Proteins From Language Model Representations, Evgenii Sidorov

Dissertations, Master's Theses and Master's Reports

Sumoylation is an essential post-translational modification intimately involved in a diverse range of eukaryotic cellular mechanisms and plays a significant role in DNA repair. Some researchers hypothesize that a high level of SUMOylation events in cancer cells improves cells' chances for survival under stress conditions by regulating tumor-related proteins.

This study belongs to a booming field of harnessing computational power to the domain of life. Prediction of protein structure, its molecular function, and the design of new drugs are just a few examples of the applications within this exciting area of research. By leveraging computational power, researchers can analyze vast …

Nonlinear Two-Dimensional Water Waves With Arbitrary Vorticity, Delia Ionescu-Kruse, Rossen Ivanov

Articles

We consider the two-dimensional water-wave problem with a general non-zero vorticity field in a fluid volume with a flat bed and a free surface. The nonlinear equations of motion for the chosen surface and volume variables are expressed with the aid of the Dirichlet-Neumann operator and the Green function of the Laplace operator in the fluid domain. Moreover, we provide new explicit expressions for both objects. The field of a point vortex and its interaction with the free surface is studied as an example. In the small-amplitude long-wave Boussinesq and KdV regimes, we obtain appropriate systems of coupled equations for …

Turbulence Phenomena In Magnetohydrodynamic Phase Transitions, Giovambattista Amendola, Mauro Fabrizio, John Murrough Golden

Articles

The model developed in (Fabrizio in J. Eng. Math., 2023) and (Fabrizio in Int. J. Eng. Sci. 44:529–539, 2006), involving the use of a local Reynolds number, is applied to describe phase transitions in a fluid. Specifically, it is applied in a magnetohydrodynamics context to study the evolution of turbulence in certain phenomena. The relevant equations describing the system are those of Navier-Stokes, Ginzburg-Landau and the magnetohydrodynamic equations, all suitably interconnected.

Facial Recognition Using Neural Network, Georges Diego Hawile Pinheiro, Allison Alves De Moura

ICT

Face recognition technology using machine learning and neural networks has become increasingly prevalent in recent years, revolutionizing various fields such as security, law enforcement, and marketing. The development of an AI-based system that can perform face recognition using these technologies has become a significant focus for researchers and developers worldwide. This project aims to create such a system that can recognize and classify faces accurately using machine learning algorithms and neural networks. By leveraging these advanced technologies, the system can learn and improve over time, leading to higher accuracy rates and enhanced performance.

Investigating The Effects Of Network Dynamics On Quality Of Delivery Prediction And Monitoring For Video Delivery Networks, Obinna C. Izima

Doctoral

Video streaming over the Internet requires an optimized delivery system given the advances in network architecture, for example, Software Defined Networks. Machine Learning (ML) models have been deployed in an attempt to predict the quality of the video streams. Some of these efforts have considered the prediction of Quality of Delivery (QoD) metrics of the video stream in an effort to measure the quality of the video stream from the network perspective. In most cases, these models have either treated the ML algorithms as black-boxes or failed to capture the network dynamics of the associated video streams.

This PhD investigates …

X-Rays Vision: Finding Success Through Sabermetrics In Major League Baseball, Madelyn Dickinson

Honors Theses - Providence Campus

This study aims to evaluate the correlation between a Major League Baseball team’s success and the team’s use of sabermetrics, advanced baseball analytics. The timeline of the sabermetric revolution and its implementation into each MLB team are cross examined with that team’s payroll, attendance, win/loss record, playoff success, and fan opinions. This study is conducted by cross-analyzing raw data regarding team records, attendance, and payroll data as well as background internet research on the sabermetric revolution as well as fan reactions to its use from social media or team-specific online forums. This research finds that there is a positive correlation …

An Entropy-Based Risk Index (Eri) Of Mining Health And Safety Using Clustering And Statistical Methods, Dharmasai Eshwar Reddy Sirigiri

Dissertations, Master's Theses and Master's Reports

Over the last decade, the mining industry has seen a significant reduction in the number of fatalities in the United States. However, the annual employee hours have also decreased during the same period. Therefore, it is crucial to evaluate the historical mining data and identify the potential risks of a mine through the mine risk index. The risk indicators also describe the severity of accidents and injuries at mine sites. The variables such as citation, order, significant & substantial citations, lost time, and no lost time injuries and penalties are considered for the determination of the risk index. However, using …

The Rhetorical Art Of Risk Assessment: Lessons From Risk Management In Rural And Tribal Communities, John L. Velat

Dissertations, Master's Theses and Master's Reports

Risk assessment, mitigation, and communication rely on data from multiple sources to form a complete understanding of hazards and how to manage them. Experts can use these data to make informed decisions about the nature and extent of risks and inform the public to protect health, the environment, and economic welfare. However, in an effort to objectively make decisions, technical experts and policymakers increasingly rely on quantitative data as the most important determiner of risk, which can alienate the public, limit risk understanding, and delay or miss obvious signals of impending catastrophe. I examine several cases based on my experiences …

Exploring High Performance And Energy Efficient Graph Processing On Gpu, Robert P. Watling

Dissertations, Master's Theses and Master's Reports

Parallel graph processing is central to analytical computer science applications, and GPUs have proven to be an ideal platform for parallel graph processing. Existing GPU graph processing frameworks present performance improvements but often neglect two issues: the unpredictability of a given input graph and the energy consumption of the graph processing. Our prototype software, EEGraph (Energy Efficiency of Graph processing), is a flexible system consisting of several graph processing algorithms with configurable parameters for vertex update synchronization, vertex activation, and memory management along with a lightweight software-based GPU energy measurement scheme. We observe relationships between different configurations of our software, …

Study Of Droplets Interactions On Solid Surface For Manufacturing Applications, Menghan Zhao

Dissertations, Master's Theses and Master's Reports

Droplet impact behaviors on a solid substrate is a complicated process that involves multiple phenomena on a small scale within a short time. This phenomenon has wide applications in the industrial, medical, and scientific fields. To understand the complicated mechanism, we select the oscillation process as the marked phase to observe and analyze the dynamical balancing between different forces and conservation of energies and compare it to the typical damped harmonic oscillator (DHO) model to examine the character of variables as viscosity, surface tension, and wettability. From the testing results, we created a precise model for post-impact dynamics and described …