Digital Commons Network^™

Using A Layered Ensemble Of Physics-Guided Graph Attention Networks To Predict Covid-19 Trends, Connie Sun, Vijayalakshmi Kumarasamy, Yu Liang, Dalei Wu, Yingfeng Wang

UTC Spring Research and Arts Conference

The COVID-19 pandemic has rapidly disseminated worldwide, profoundly impacting numerous nations. Accurately forecasting the trajectory of COVID-19 across various scales is crucial for informing public health decisions. However, existing forecasting models primarily operate at the state or country level. Conventional mathematical models face limitations due to oversimplified assumptions, while machine learning algorithms struggle to extrapolate novel trends. This underscores the necessity for hybrid machine learning models that amalgamate domain expertise to enable precise long-term predictions. In response, we propose a sophisticated three-layered ensemble, tailored to geographical insights and fostering extensive peer learning. Our framework aims to forecast COVID-19 trends at …

Sustaining Smart Cities: Benchmarking Success Factors For High School Education, Lora Taylor

UTC Spring Research and Arts Conference

As Chattanooga strides towards becoming a thriving Smart City, it is imperative to evaluate the academic achievement and graduation rates of Hamilton County students. Chattanooga's Smart City growth relies on assessing Hamilton County schools' academic and graduation outcomes. This research project focuses on benchmark data gathered from two magnet schools - STEM School and Tyner Academy - to understand high school achievement drivers. The research aims to guide policymakers, educators, and stakeholders to enhance graduation rates and educational quality. Ultimately, the goal is to prepare students for success in a tech-centric economy, supporting Chattanooga's sustainable development through informed educational strategies.

Pretty Dangerous: The Romanticization Of Grooming In Pretty Little Liars, Katherine G. Johnson, Emma Grace Gilland

UTC Spring Research and Arts Conference

Sexual grooming is the deliberate manipulation of a minor by an adult to reduce their sensitivity to sexual contact, with the specific aim of perpetrating child or adolescent sexual abuse (Winters, 2022). Prevalence rates for sexual grooming vary; however, a recent study by Winters and Jeglic (2022) found that approximately 24% of their sample of undergraduate student sample reported experiencing sexual grooming as a minor. These predatory behaviors were prominently featured between lead adolescent and adult characters throughout the popular television show, Pretty Little Liars. This raises concerns about how such behaviors might be perceived when portrayed in popular media …

Advancements In Gunshot Detection: Ai, Iot, And Deep Learning For Real-Time Response, Vijayalakshmi K Kumarasamy, Anitha Anandhan, Yu Liang, Dalei Wu

UTC Spring Research and Arts Conference

Gun violence is a growing public safety concern, highlighting the need for fast and accurate gunshot detection systems (GDS) to support real-time law enforcement response. This review explores the integration of deep learning (DL), artificial intelligence (AI), and the Internet of Things (IoT) in enhancing GDS performance. It summarizes recent advances ranging from physics-based acoustic modeling to data-driven methods like CNNs, RNNs, and hybrid neural networks, along with edge-based IoT frameworks for low-latency alerts. The review also examines challenges such as differentiating gunshots from similar sounds, ensuring robustness across environments, and addressing surveillance-related privacy concerns. Case studies from urban, indoor, …

A Comparative Study On Viral Fitness Among Influenza Virus Strains Across Different Periods And Locations, J M Imtinan Uddin, Hong Qin

UTC Spring Research and Arts Conference

Influenza viruses, in 1918, 1957, 1968, and 2009 causing pandemics of contagious respiratory illnesses, have taken away millions of lives worldwide [1][2]. Still, many influenza virus strains are circulating worldwide, infecting people in the USA and other countries [3]. Furthermore, influenza viruses are constantly changing, called "antigenic drift"[4]. These circulating influenza virus strains in humans present a potential threat to another pandemic, like the SARS-CoV-2 pandemic. For this reason, We must revise our risk assessment and preparedness plans to mitigate the risk of another pandemic and should continue to put surveillance on influenza virus strains on different hosts [5]. For …

A Combination Of Modified Stacking Method With Voting Ensemble Technique For Binary Classification, J M Imtinan Uddin, Hong Qin

UTC Spring Research and Arts Conference

Binary classification is a frequently encountered machine learning problems. Many machine learning algorithms are used to solve binary classification problems. However, all machine learning algorithms are not suited or efficient for solving binary classification problems.

In this paper, authors has proposed a approach. The proposed approach is a machine learning algorithm, to solve binary classification problems. Authors has combined modified stacking and voting ensemble machine learning techniques for binary classification problems. Before combining the ensemble techniques, authors has modified the stacking ensemble technique for making the proposed method more robust.

This proposed method was applied on two different binary class …

Achieving Outcomes In Analytical Chemistry While Focusing On Active Learning And Self-Care, Gretchen E. Potts Ph.D.

UTC Spring Research and Arts Conference

Pedagogy can support self-care and student outcomes in the chemistry classroom. In fact, intentional course design to support the whole student may improve overall student outcomes. A quantitative analysis lecture course that was designed synchronously online during COVID was transitioned to a face-to-face environment in an active learning classroom. Discussion boards were converted to daily group work that highlighted collaboration. Small adjustments were implemented to the course and syllabus design to help students manage stress and to encourage self-care. Frequent anonymous check-ins were used to monitor student learning progression. Additional anonymous prompts encouraged students to share study tips, how to …

Higher Ed In Half The Time: A Literature Review On The Shortened Course, April B. Kidd

UTC Spring Research and Arts Conference

The shortened course, which reduces the course length from the full semester (Johnson & Rose, 2015), offers a popular higher education format for nontraditional students, especially those at community colleges. The impacts of accelerated learning on both students and faculty have been studied, yet the variety of shortened course lengths makes comparison across studies more challenging. The purpose of this study is to focus on the half semester length for research published from 2010-2024 on undergraduate higher education. The methods used to locate dissertations and articles included searches on Google Scholar and the University of Tennessee at Chattanooga library database …

Machine Learning For Reparameterization Of Molecular Dynamics Water Model To Accurately Capture Electrical And Thermal Behavior, Khowshik Dey, Murat Barisik, Yu Liang

UTC Spring Research and Arts Conference

Water is an important component in many scientific and engineering applications, but precisely modeling its thermal, electrical, and physical properties remains difficult in molecular dynamics (MD) simulations. The widely used TIP4P water model, while useful in many circumstances, requires parameterization to better agreement with experimental results under various conditions. In this study, interpretable machine learning techniques were used to systematically tune the TIP4P model parameters where mathematical relationship between features and targets has been developed using deep symbolic optimization (DSO), resulting in a more accurate depiction of water behavior in molecular dynamics simulation. A data-driven approach was created to optimize …

Assessing The Fidelity Of Ai-Generated Lessons For Elementary-Grades Stem Topics, Deborah Mcallister

UTC Spring Research and Arts Conference

Teachers collaborated using MagicSchool, an AI tool, for generating lesson plans for elementary-grades mathematics, science, and technology topics. The lessons were evaluated for fidelity to content and lesson plan components. The problem to be answered was two-fold: What is the fidelity of AI-generated lessons for elementary-grades STEM topics? What are teacher perceptions of using an AI tool? Teachers evaluated the standards-based, AI-generated lesson plans. Scores for lesson plans were compared by content area (mathematics, science, technology) and elementary level (lower versus upper) to determine if fidelity is better for a particular content area or level. Teacher perceptions, regarding the use …

Quantum Mechanical Insights Into Heterogeneous Surface Reactions In Chemical Vapor Infiltration, Atal Bhowmik

UTC Spring Research and Arts Conference

This study investigates the decomposition mechanism of Methyl trichlorosilane during Silicon Carbide (SiC) deposition during Chemical Vapor Infiltration (CVI). High-performance applications require SiC-based ceramic matrix composites (CMCs); however, producing them presents difficulties due to limited deposition rates, high energy consumption, and uneven coatings. To overcome these challenges, the mechanism of SiC formation must be understood completely. Modeling surface reactions of MTS decomposition on the SiC substrate using density functional theory (DFT) calculations with the Vienna Ab initio Simulation Package (VASP) is the key point of current research. By focusing on the adsorption, reaction, and desorption mechanisms that control SiC development, …

Nifty 50 Stock Market Data Analysis, Margaret M. Coulter

UTC Spring Research and Arts Conference

Abstract of Nifty 50 Stock Market Data Analysis By: Margaret Marie Coulter Instructor: Dr. Monireh Rahmati Bongisouei Data Analytics 3260

Analysis of the Nifty-50 Stock Market Dataset (2000 – 2021) and Stock Price Data of the Fifty Stocks in NIFTY-50 Index from National Stock Exchange (NSE) India The dataset analyzed contained the price history and trading volumes of the fifty stocks in the NIFTY-50 index from the time period January 1, 2000, to April 30, 2021. The analysis focused on determining whether the volume-weighted average, or the simple moving average better predicted the stock’s price. The effect of the stock’s …

Modeling The Dynamics Of User Adoption And Abandonment For A Single Product, Uyen Nguyen

UTC Spring Research and Arts Conference

We introduce a compartmental differential equation model to study the dynamics of user adoption and abandonment for a single product. The model integrates two forms of abandonment: infectious, driven by user interactions, and non-infectious, prompted by external influences. Notably, the infectious abandonment coefficient varies linearly with the number of previous users. We investigate the existence of equilibria of the model and derive the threshold quantity ℛ0. The user-free equilibrium is always present, and its stability is analyzed under the condition ℛ0 < 1. Moreover, a user-prevailing equilibrium does not exist when ℛ0 ≤ 1, but at least one user-prevailing equilibrium is guaranteed when ℛ0 > 1. We further characterize conditions for multiple equilibria and various bifurcations, including saddle-node, 𝑆-shaped, and Hopf bifurcations, and formulate …

Risk-Averse Decision-Making In Multiobjective Combinatorial Optimization, Chathuri M. Aththanayake, Lakmali Weerasena

UTC Spring Research and Arts Conference

Uncertainty in input data significantly affects the quality of solutions in mathematical optimization, making it crucial to explore alternative decisions when the selected decision becomes unavailable or suboptimal. This study introduces a novel risk-averse decision-making approach for cases where objective function coefficients are uncertain in multi-objective combinatorial optimization problems. We construct a region in the objective space based on reference solutions obtained from the deterministic formulation. Alternative decisions, identified using a neighboring structure that falls within this region, are used to determine risk-preference solutions. We propose two sets of indices to quantify the quality of outcomes and neighboring decisions in …

Artificial Wetlands Provide Hope For Municipal Sewage Effluent Treatment And Biodiversity Declines, William T. Bryant

UTC Spring Research and Arts Conference

Wetlands provide habitat for a multitude of species worldwide and exist on almost every continent. They act as water filtration systems, cycle organic and inorganic nutrients, prevent flooding and mitigate storm damage. As the human population continues to expand and cities continue expanding, more infrastructure is needed for water treatment and providing green spaces for citizens to enjoy. This literature review analyzes the current data on the effectiveness of constructed wetlands in the treatment of sewage effluent and how they impact the biodiversity of the local ecosystem. The databases Web of Science, ProQuest and Agriculture, Ecosystems and Environment were utilized. …

St. Augustine: His Age, Life, And Thought, M. D. D'Arcy

Hannah Arendt Marginalia - All

Meridian Books, New York, 1957

Call #: BR1720.A9 M55 1957

Contains marginalia, underlining, and marginal lining.

PDF Information: 9 pages - 1.93 MB

The Survivor: An Anatomy Of Life In The Death Camps, Terrence Des Pres

Hannah Arendt Marginalia - All

New York : Oxford University Press, 1976

Call #: D810.J4 D474 1976

Contains edited markings, marginalia, and is an advance proof copy that is uncorrected

PDF Information: 69 pages – 4.6MB

The Philosophical Works Of Descartes Vol. 2, René Descartes

Hannah Arendt Marginalia - All

Cambridge : University Press, 1977 reprinting, c1931

Call #: B1837 .H254 1977

Arendt copy v.1-2 contains underlining, marginal lining and endpaper notes.

PDF Information: 10 pages – 3 MB

The Unwritten Philosophy And Other Essays, Francis M. Cornford

Hannah Arendt Marginalia - All

Cambridge: University Press, 1950

Call #: B1618.C763 U5

Contains underlining and marginal lining

PDF Information: 46 pages – 27.7 mb

The Constitution And What It Means Today, Edward Samuel Corwin

Hannah Arendt Marginalia - All

Princeton, N.J., Princeton University Press [1958]

Call#: KF4550 .C64 1958

Contains underlining and marginal lining

PDF Information: 36 pages – 3.1 MB

De Offciis, With An English Translation, Marcus Tullius Cicero, Walter Miller

Hannah Arendt Marginalia - All

Cambridge, Mass., Harvard University Press, 1961.

Call #: PA6156.C6 D5

Contains underlining, marginal lining and endpaper notes

PDF information: 128 pages – 5 MB

An Essay On Man, Ernest Cassirer

Hannah Arendt Marginalia - All

Garden City, NY: Doubleday, 1953 [c1944]

Call #: B3216.C33 E8 1953

Marginalia , underlining and marginal lining

PDF Information: 14 pages – 4 MB

The Myth Of The State, Ernest Cassirer

Hannah Arendt Marginalia - All

Garden City, NY: Doubleday, 1955

Call #:JC251 .C3 1955

Contains marginal lining

PDF Information: 8 pages – 1.3 MB

Review Of Comic Books, Special Collections, And The Academic Library, Nicholas Wantsala

Journal of Contemporary Archival Studies

Comic Books, Special Collections, and the Academic Library is a pioneering scholarly work by Brian Flota and Katie Morris that documents the integration of comic books into archival special collections and academic libraries. This book, inspired by the donation of Flota's father's extensive comic collection to James Madison University, traces the growth of comic books as scholarly resources and library holdings. Featuring contributions from 35 scholars across 20 chapters, it explores key questions such as the value of collecting comics and their role in library instruction. The essays, enhanced with suggestions for further reading and informative footnotes, offer a comprehensive …

Multiclass Cyberbullying Detection Using Advanced Neural Network Architectures: A Comparative Study Amidst The Covid-19 Pandemic, Mahyar Alinejad

Data Science and Data Mining

Amidst the COVID-19 pandemic, the digital communication landscape has seen an unprecedented rise in cyberbullying incidents. Addressing this critical issue, our study develops and evaluates a novel multiclass cyberbullying detection framework employing several advanced neural network architectures—namely Neural Networks (NN), Convolutional Neural Networks (CNN), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRU). Utilizing a balanced dataset created through Dynamic Query Expansion, this research benchmarks the performance of these models in accurately classifying cyberbullying according to specific victim attributes such as age, ethnicity, gender, and religion. Our results demonstrate that LSTM and GRU models, in particular, exhibit superior performance …

Multiclass Cyberbullying Detection Using Advanced Neural Network Architectures: A Comparative Study Amidst The Covid-19 Pandemic, Mahyar Alinejad

Data Science and Data Mining

Amidst the COVID-19 pandemic, the digital communication landscape has seen an unprecedented rise in cyberbullying incidents. Addressing this critical issue, our study develops and evaluates a novel multiclass cyberbullying detection framework employing several advanced neural network architectures—namely Neural Networks (NN), Convolutional Neural Networks (CNN), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRU). Utilizing a balanced dataset created through Dynamic Query Expansion, this research benchmarks the performance of these models in accurately classifying cyberbullying according to specific victim attributes such as age, ethnicity, gender, and religion. Our results demonstrate that LSTM and GRU models, in particular, exhibit superior performance …

The Aga Khan University Annual Fund, Many Possibilities

University press releases and calendars

No abstract provided.

Coaching Bilingual Speech-Language Student Clinicians And Spanish-Speaking Caregivers To Use Culturally Adapted Ndbi Techniques For Autistic Preschoolers, Richelle R. Mcguire

Speech and Hearing Sciences ETDs

This study used a cascading coaching model to train bilingual speech-language pathology graduate students and Spanish-speaking caregivers to implement naturalistic developmental behavioral intervention (NDBI) strategies with autistic preschoolers. Two triads, each including a student clinician, minimally vocal child with autism, and caregiver, participated. A monolingual instructor coached student clinicians in culturally adapted NDBI techniques, who then coached caregivers in Spanish. A mixed methods approach evaluated outcomes through single-case experimental design and qualitative interviews. All adult participants increased their use of targeted NDBI skills, with large to very large effect sizes. Qualitative findings suggested areas for improvement (e.g., need for more …

Challenging The Universality Of Poplack’S Syntactic Constraints: Insights From Arabic-English Code-Switching Among Saudi Arabian Women, Sharifa Bahri

Linguistics ETDs

This study investigates the applicability of Poplack's (1980) syntactic constraints, the free morpheme constraint and the equivalence constraint, to Arabic-English code-switching among Saudi Arabian women. Based on 886 intra-sentential code-switching utterances drawn from naturalistic podcast speech, the analysis reveals substantial violations of both constraints: 306 utterances (34.5%) violated the free morpheme constraint, and 601 utterances (67.8%) violated the equivalence constraint, occurring across a wide range of syntactic categories. While violations of the free morpheme constraint were exclusively unidirectional, involving Arabic bound morphemes attached to English free morphemes, equivalence constraint violations were bidirectional, though predominantly shaped by Arabic grammar. Crucially, many …

Emotional Metaphors In Mandarin And English: Fear And Surprise, Jing Yang

Linguistics ETDs

This paper explores the relationship between emotion and experience from a cognitive perspective to fulfill two purposes. First, it seeks to identify the commonalities and differences in emotional metaphors across vastly different languages and the reasons behind these variations. Second, it aims to contribute to typological research in emotion studies beyond established areas such as color, time, and space using innovative approaches. Specifically, this study focuses on fear and surprise to categorize their source domains using lexical and corpus-based methods. Examples were collected from constructions and the corpus, and patterns of FEAR and SURPRISE metaphors in Mandarin were compared with …