Digital Commons Network^™

2024-2025 - Etsu General Academic Operating Budget (July), Budget And Financial Planning, East Tennessee State University

ETSU General Academic Operating Budgets and Analysis

No abstract provided.

Ohio Northern University Catalog, 2024-2025, Ohio Northern University

University Catalogs

No abstract provided.

Tailored-Llama: Optimizing Few-Shot Learning In Pruned Llama Models With Task-Specific Prompts, Danyal Aftab, Steven Davy

Conference Papers

Large language models demonstrate impressive proficiency in language understanding and generation. Nonetheless, training these models from scratch, even the least complex billion-parameter variant demands significant computational resources rendering it economically impractical for many organizations. With large language models functioning as general-purpose task solvers, this paper investigates their task-specific fine-tuning. We employ task-specific datasets and prompts to fine-tune two pruned LLaMA models having 5 billion and 4 billion parameters. This process utilizes the pre-trained weights and focuses on a subset of weights using the LoRA method. One challenge in fine-tuning the LLaMA model is crafting a precise prompt tailored to the …

Taylor University Graduate Catalog 2024-2025, Taylor University

Graduate Catalogs

The 2024-2025 graduate catalog of Taylor University.

A Comparison Of Machine Learning Surrogate Models Of Street-Scale Flooding In Norfolk, Virginia, Diana Mcspadden, Steven Goldenberg, Binata Roy, Malachi Schram, Jonathan L. Goodall, Heather Richter

Community & Environmental Health Faculty Publications

Low-lying coastal cities, exemplified by Norfolk, Virginia, face the challenge of street flooding caused by rainfall and tides, which strain transportation and sewer systems and can lead to personal and property damage. While high-fidelity, physics-based simulations provide accurate predictions of urban pluvial flooding, their computational complexity renders them unsuitable for real-time applications. Using data from Norfolk rainfall events between 2016 and 2018, this study compares the performance of a previous surrogate model based on a random forest algorithm with two deep learning models: Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU). The comparison of deep learning to the random …

Usage And Knowledge Of Online Tools And Generative Ai: A Survey Of Students, Rahul R. Divekar Phd, Lisette Gonzalez, Sophia Guerra, Natasha Boos

Department of Experience Design (XD) Faculty Publications

Artificial Intelligence (AI) tools like ChatGPT are poised to transform student and educator workflows in higher education. However, there is less documentation on the range of tools students in higher education use, how they use them and in coordination with other online tools for learning, and their expertise using AI tools. We present a mixed-method analysis of a survey conducted at a doctoral-granting university in the United States investigating the adoption of AI tools in the context of other technologies. The findings include how the students used GenAI tools in light of other on-line technologies, their perception of expertise on …

A 3d Dlt View Correction Tool For Manual Digitizing: A Cross-Platform Application For Correcting Shifted Image Coordinates Prior To Object Coordinate Reconstruction, William Moynihan

Theses, Dissertations and Capstones

While 3D direct linear transformation is a versatile motion capture method, care must be taken so that the cameras are not bumped or adjusted between the object space calibration phase and the end of video recording. Disturbing the cameras during this time will misalign the view, making the movement data invalid for the associated calibration. The purpose of this study was to design and validate a cross-platform software application for transforming image coordinates from a bumped camera to be compatible with the object space calibration and to determine the relationship between reconstruction error and changes to bumped camera views.

For …

Parodies Of Pleasure: Remedios Varo's Queer Surrealism In Narrative And Painting, Kathryn Everly

Languages, Literatures, and Linguistics - All Scholarship

Remedios Varo (1908-1963) wrote numerous surrealist texts that dialogue with her prolific artistic production. Alchemy, feminism, and psychoanalysis have been studied as central themes in her paintings, yet this paper focuses on humor and parody in Varo’s written works –including her letters, short stories, and dreams– to uncover the seminal ideas and images that emerge in her visual art. Humor and parody are fundamental links between Varo’s narrative and paintings. She embraces the spontaneity of the surrealist écriture automatique and the illogical amor fou but at the same time pushes the limits of surrealist dogma and creates a uniquely nonpatriarchal …

Hybrid Faith: A Study On The Impact Of Digital Technology On Church Communication During The Covid-19 Pandemic, Gertrude Dzirasa-Payne

Doctor of Ministry

The 21st Century has witnessed a new age characterized by exponential growth of global internet users and the central role of digital technology impacting the economy, science, religion, government, and society.1,2 Information is available via digital channels in every form, whether word, image, or sound.3 Digital technology is integrated into society and has influenced the practice of the Church, leading to the emergence of a phenomenon known as “Hybrid Faith,” the merging of in-person faith and online faith into one holistic integrated experience.4 This study explores how small and medium-sized churches in two cities adopted digital communication technology to engage …

Defeating Racism And Overcoming Generational Poverty: Re-Educating African American Youth, Adrian D. Ware

Doctor of Ministry

After the 2023 U. S. Supreme Court ruling that diluted President John F. Kennedy’s Executive Order Number 10925, commonly known as Affirmative Action, this research proposes viable strategies that could afford African American society solutions to re-educate its youth to advance future generations toward an educational and cultural evolution. Evolution suggests a systematic process toward improvement that takes time, strategy, effort, and resources. America’s founding fathers brought Africans to the United States to build an economic empire. While Florida Governor Ron DeSantis puts forth that enslavement was a form of apprenticeship where enslaved persons trained for lucrative careers, a more …

The Effects Of Movement On Elementary Students’ Behavior And Academic Achievement, Susan M. Lehman

All Electronic Theses and Dissertations

It is recommended that children engage in sixty minutes each day of physical activity. Many children do not achieve this goal. Schools are attempting to incorporate more movement into the school day without negatively impacting instructional time and academic outcomes. This research review aims to uncover three questions. How can schools incorporate more physical activity into students’ days? How will this additional movement impact students’ on-task performance and academic achievement? What impact will additional movement have on students with attention deficit hyperactivity disorder (ADHD) and students with ADHD symptoms (deficits in executive function skills)?

The Neuroscience Of Reading And Implications For Early Reading Instruction, Edward J. Barron Jr

All Electronic Theses and Dissertations

The following literature review investigates current research focused on the neural networks involved in reading and the implications of the research on early literacy education and instruction. The neural network is located in the left hemisphere of the brain and consists of two distinct pathways utilized during word reading, a decoding pathway and a sight-recognition pathway. As a reader learns to read they primarily utilize the decoding pathway and as their proficiency increases the more efficient sight-recognition pathway is used more frequently. It is clear from the research that the most effective way to move students toward the use of …

The Formation And Impacts Of Student Self-Efficacy In The Secondary Science Classroom, Alan Daniel Swanson

All Electronic Theses and Dissertations

Student self-efficacy is a student’s belief that they can perform the tasks required to be successful in an academic setting. The focus of this research is how those beliefs are formed, how they impact student performance, and how teachers can increase student self-efficacy in the classroom. Self-efficacy foundations are examined as well as the impact positive self-efficacy beliefs have on student behavior and achievement. Educational practices that increase student self-efficacy are also summarized. A guide to implementing these strategies in the science classroom with an example is given, and connections to other research and future considerations are discussed.

Molecular Identification To Verify The Existence Of Helicotylenchus Dihystera In Coffee Plants At East Java, Indonesia, Ankardiansyah Pandu Pradana, Toyoshi Yoshiga

ASEAN Journal on Science and Technology for Development

Spiral nematodes Helicotylenchus sp. are known to infect a variety of plants, including coffee. This is in line with the studies and surveys of nematodes in Indonesia. However, to date, there has been no study reporting the nematode with molecular analysis. In this study, we surveyed the nematodes in Arabica coffee plantations in Bondowoso regency – Indonesia. These spiral nematodes were collected in DESS solution for morphological, morphometric and molecular analysis. The morphometric analysis was carried out under an Olympus BH-2 compound microscope with an attached calibrated Toupcam M20 camera. The molecular analysis was performed on the total DNA from …

Species Distribution Modelling Using Bioclimatic Variables On Critically Endangered Endemic Species (Macrocephalon Maleo) In Sulawesi, Septianto Aldiansyah, Khalil Abdul Wahid

ASEAN Journal on Science and Technology for Development

The island of Sulawesi isolates migratory fauna from Asia and Australia and creates animal combinations such as the Maleo (Macrocephalon Maleo). The Maleo population is experiencing a downward trend due to habitat fragmentation, deforestation and threats by humans. This study aims to model the potential distribution of Maleo using several famous current and future models as a result of climate change throughout the island of Sulawesi, not only in its natural habitat, but beyond its natural habitat. Bioclimatic variables and in situ attendance data were used in this study. The method used is Maximum Entropy by evaluating the GLM, SVM …

The Musical Descriptor Using Fast Fourier Transform (Fft): Examples In P Ramlee Songs, Ahmad Faudzi Musib, Sinin Hamdan, Kuryati Kipli, Aaliyawani Ezzerin Sinin, Johari Abdullah

ASEAN Journal on Science and Technology for Development

The musical descriptor can be characterize using quantitative evaluation of audio sounds. This paper evaluates the musical descriptors for P Ramlee instrumental songs utilizing the Fast Fourier Transform (FFT) from the audio sounds signal. In this study, Python programming language is used to develop a series of custom scripts to calculate the musical descriptors. The approach involved constructing musical descriptors from instrumental music through analysis and digital processing of the spectra. The signal data were first transformed using the FFT to extract frequencies and intensities, which are crucial for identifying the spectral signature of musical sounds. The FFT is particularly …

Smart Installation Weather Warning Decision Support, Martin Tran, Samuel Kreinberg, Eric Specking, Gregory S. Parnell, Brenda Hernandez, Ed Pohl, George Gallarno, John Richards, Randy Buchanan, Christina Rinaudo

Industrial Engineering Faculty Publications and Presentations

Army installation commanders need timely weather information to make installation closure decisions before or during adverse weather events (e.g., hail, thunderstorms, snow, and floods). We worked with the military installation in Fort Carson, CO, and used their Weather Warning, Watch, and Advisory (WWA) criteria list to establish the foundation for our algorithm. We divided the Colorado Springs area into 2300 grids (2.5 square kilometers areas) and grouped the grids into ten microclimates, geographically and meteorologically unique regions, per pre-defined microclimate regions provided by the Fort Carson Air Force Staff Weather Officers (SWOs). Our algorithm classifies each weather event in the …

Catherine Nelson, Senior Art Exhibition Portfolio, Macrocosm, Catherine Nelson

Senior Art Portfolios

This is artwork by Catherine Nelson, created for the Spring 2024 Senior Art Exhibition at St. Norbert College.

An Analysis Of Corporate Social Responsibility And Real Earnings Management, Rachel Brassine

Theses, Dissertations and Capstones

Real earnings management (REM) is costly in the form of intense loan restrictions, increased interest expense, and public scrutiny. Nevertheless, companies still practice REM. Based on agency and stakeholder theories, this research predicts that as a company’s CSR score increases, REM will decrease, and this association will become more negative when a critical mass of females on the board of directors exists and when a board-level CSR committee is present. This study also predicts that when a company offers an executive incentive plan based on CSR metrics, REM will decrease, and the relationship will become more negative with a critical …

On The Transmuted Distributions; Properties And Application, Jacob D. Kretzer

Theses, Dissertations and Capstones

The transmuted distributions first appeared in (2007) after Shaw and Buckley constructed a quadratic rank transmutation map (QRTM), G(u) = (1 + λ)u − λu², as a transformation of a cumulative distribution function of a random variable X, to generate the transmuted-X distribution. In (2017), Jayakumar & Babu defined the T -transmuted-X family of distributions by incorporating a transmuted-X into a transformer-transformed class of distributions (Aljarrah et al., 2014). This thesis surveys the main properties of the transmuted-X distribution, such as density shapes, moments, and entropy. Detailed attention will be given …

Object-Centric Spatially-Aware Gesture-Based Motion Specification Of Robotic Manipulation Systems, Rehan Nazir

Mechanical Engineering Master's Theses

As collaborative robots (cobots for short) become more prominent in industrial settings, intuitive ways of interaction between humans and cobots are essential for their success. In this Thesis, a novel framework that enables a human to easily guide a cobot to co-manipulate an extended object is presented. The developed framework enables a human to guide the object grasped by the cobot in all dimensions of motion (translation, rotation, and gripper actuation). To achieve this, a novel control has been developed that uses hand gestures and spatially-aware features of the operator (e.g. operator's location in space) with respect to the manipulated …

A New Extinct Species Of Malagodon (Cyprinodontiformes: Pantanodontidae) From Southeastern Coastal Madagascar, With A Discussion Of Its Phylogenetic Relationships And A Redescription Of The Genus., E. M. Carr, R. P. Martin, J. S. Sparks

School of Natural Resources: Faculty Publications

No abstract provided.

Electrochromic Polymers: From Electrodeposition To Hybrid Solid Devices, Haradou Sare, Dongmei Dong

College of Science & Mathematics Departmental Research

This paper reports on the linear colorimetric and electrochromic (EC) characteristics of electrodeposited polyaniline (PANI) films. This paper also investigates the infrared EC properties of acid-doped PANI films. The electrochemical polymerization method was employed to create a porous and thin PANI film layer onto PET-ITO substrates. This layer was capped with WO3 film to create a gel electrolyte sandwich structure that demonstrates the compatibility of PANI films with cathodic WO3 films in full devices. The electrodeposition of the film was fabricated by applying different voltages and time, with the optimal film quality achieved with the 1.7 V voltage and a …

Understanding Patient Profiles In Sickle Cell Disease Using Unsupervised Machine Learning, Raj Kamal Somavarapu

Browse all Theses and Dissertations

Sickle Cell Disease (SCD) is one of the most prevalent genetic blood disorders affecting millions of people worldwide. It is often accompanied by acute and/or chronic pain leading to increased healthcare costs and adverse outcomes. Effective management of SCD requires an understanding of the diverse physiological profiles. This study employs unsupervised machine learning, specifically K-means clustering to categorize the patients suffering with SCD into different clusters based on their vital signs. The main aim is to identify the groups that reflect similarities in physiological and pain profiles, allowing an in-depth analysis to reveal distinctive features distinguishing patient clusters. The project …

Evaluating Medium Decision Tree Model, Support Vector Machine Rational Quadratic Gaussian Process Regression To Estimate The Total Organic Carbon Of Shale Gas Reservoirs, Attia Attia, Sayed Gomaa, Mohamed Mongy Eng., Ramadan Emara Prof., Ashraf Fahmy Prof.

Petroleum Engineering and Gas

As a result of an energy crisis due to the Russian-Ukrainian war, the eyes of great countries such as America and others began to turn strongly towards exploiting unconventional resources to increase the oil and gas production. The first step in exploiting unconventional sources is to estimate the Total Organic Carbon (TOC). TOC measurements are expensive as well as time consuming, as samples of cuttings or core samples must be present to do the required lab tests. This issue encouraged the researchers to develop mathematical correlation to estimate the TOC. The paper aims at evaluating three of machine learning models …

Multivariate Evaluation Of Flash Drought Across The United States, J. A. Otkin, Y. Zhong, T. W. Ford, M. C. Anderson, C. Hain, A. Hoell, Mark D. Svoboda, H. Wang

School of Natural Resources: Faculty Publications

No abstract provided.

A Major Blind Spot In Drought Risk Financing: Water Services In Low-Income Countries, Markus Enenkel, Nathan L. Engle, Mark D. Svoboda

School of Natural Resources: Faculty Publications

No abstract provided.

Evaluation Of Flash Drought Characteristics Using Satellite-Based Soil Moisture Product Between North And South Korea, Hee-Jin Lee, Won-Ho Nam, Jason A. Otkin, Yafang Zhong, Xiang Zhang, Mark D. Svoboda

School of Natural Resources: Faculty Publications

No abstract provided.

2023 Kentucky River Watershed Watch Annual Report, Steven J. Evans, Malissa Mcalister, Andrea N. Drayer

Kentucky River Watershed Watch

No abstract provided.

Simulation Of Soil Temperature Under Maize: An Inter-Comparison Among 33 Maize Models, B. A. Kimball, K. R. Thorp, K. J. Boote, C. Stockle, Andrew E. Suyker Et Al.

School of Natural Resources: Faculty Publications

No abstract provided.