Digital Commons Network^™

Analysis Of Neutron Star Structure And Equation Of State Using Computational Simulations, Sohila Sameh

2024 REYES Proceedings

Understanding neutron star structures is crucial for advancing astrophysical research. This study explores the structure of neutron stars using advanced equations, including the Tolman-Oppenheimer-Volkoff (TOV) equations, and various equations of state (EoS). We investigate the mass-radius relationship, stability criteria, and cooling mechanisms. Key findings highlight the impact of relativistic corrections and rotational effects on neutron star properties. The results demonstrate how integrating these advanced equations enhances the understanding of neutron star behavior and stability. This research provides a comprehensive framework for analyzing neutron star structures, with implications for future astrophysical studies.

Ants And Their Response To Chili Powder, Antu Biswas

2024 REYES Proceedings

Spices can be used as an eco-friendly ant repellent. In this study, I tried to observe the ants’ response to chili powder and whether or not the spice can be an effective ant repellent.

The Efficacy Of Dry Peppermint Leaves As An Ant Repellent, Amal Chacko

2024 REYES Proceedings

Ant (Formicidae) infestation is a typical residential disturbance, often necessitating the use of chemical repellents that pose environmental and health dangers. This study looks into the possibilities of a natural alternative, dry peppermint (Mentha piperita L) leaves as a chemical repellent. Given the diversity of ant species and their variable responses to stimuli, this study seeks to determine the efficiency of dried peppermint leaves as a general ant repellent. A pilot study will be carried out to determine the repellent qualities of this spice against a specific ant species. The precise aims include evaluating if dry peppermint leaves …

The Energy Spectrum Of Kaon From Lattice Qcd, Arunangshu Bora, Anirban Mandal, Shreya Mittal, Mihir N. Pandey, Rohan Rana, Harsh Saxena, Priyajit Jana, Rijul Dhumane, Tanmoy Bhowmik

2024 REYES Proceedings

This study presents the analysis of data related to the two-point function of kaon generated from lattice QCD simulations. Using gauge configurations of twisted-mass fermions, we obtain the correlation functions for 6 values of momentum for the kaon between 0 and 2 GeV (both inclusive), we use statistical techniques such as jackknife resampling to derive the energy of the particle. The lattice results are compared to the continuum dispersion relation for the particle, to assess systematic uncertainties in the lattice data. We establish consistency with theory by comparing our results with the theoretical predictions.

The Energy Spectrum Of The Pion From Lattice Qcd, Dilan Arik, Navneeth C, Sufiyan Mirza, Ameer Mustafa, Debarshi Mukherjee, Rajath R, Anantha Srinivasan, Preksha Uniyal, Martha Constantinou

2024 REYES Proceedings

In this report, computational techniques are employed to extract the energy eigenvalues of the pion from two-point correlation function data that has been simulated using the lattice formulation of Quantum Chromodynamics (QCD) across various momentum values for the particle. The analysis focuses on systematically obtaining these eigenvalues to understand better the behavior of the pion under different kinematic conditions. Once extracted, these energy eigenvalues obtained through plateau fitting of the Energy vs Time graph, are utilized to plot the dispersion relation of the pion. This resulting dispersion relation is then compared with theoretical predictions to assess the accuracy and validity …

Ants And Spices: Investigating The Repellent Effects Of Household Spices On Ants: A Study Of Chili, Coriander, And Cumin Powders, Abhishikta Pradhan

2024 REYES Proceedings

The aim of this study was to test the ant-repellent potential of household spices, namely chili powder, coriander powder, and cumin powder, against ants (Formicidae). The experiments were conducted using sticky note paper as a substrate, on which granulated sugar was placed as bait. In the control baits, only granulated sugar was used, while in the treatment baits, granulated sugar mixed with each spice was used. The baits were placed near ant nests. One hour after placing the baits, the number of ants on the control and treatment baits was counted for each control-treatment pair (five pairs in total, with …

Cardamom Spice: A Potential Ant Repellent, Deepanshi Gupta

2024 REYES Proceedings

This novel research has been conducted to identify the efficacy of cardamom powder to repel ants (Formicidae) in the households and analyze the ant behavior towards the spice. The study was done using a bait and a substrate along with a spice. Granulated sugar was used as a bait material with butter crackers as a substrate. The granulated sugar was topped over the substrate in the control sample while the cardamom powder was added on top of the sugar in the treatment sample. The control sample (no cardamom powder) and treatment sample (with cardamom powder) were kept at a distance …

Evaluating The Repellent Properties Of Paprika On Ants, Jonathan J. Toj Castellanos

2024 REYES Proceedings

Ants are a problem no matter where you are, which is why we should always have a way to repel them on hand. Spices can be an eco-friendly and cheaper alternative to common insecticides sold in supermarkets. These insecticides are generally made from toxic products, which can affect both humans and animals. This research aimed to find the perfect spice to replace insecticides. Paprika was chosen because it is very common, especially in Guatemalan territory. Several experiments were conducted to verify the effects of paprika on ants. It was tested on one of the most common ant species in Central …

Replicating Calculations Of A White Dwarf’S Mass And Size Using The Tov Equation, William (Ha Quang) Dang

2024 REYES Proceedings

In this project we followed the instructions in the ”Neutron Stars for Undergraduates” paper to simulate the mass and size of a white dwarf star to be 1.233 solar masses and 0.0144 solar radius.

Bert-Based Detection Of Ai-Generated Text For Content Verification, Soham Biren Katlariwala

2024 REYES Proceedings

With advancements in AI-driven natural language generation, distinguishing between AI-generated and human-written text has become imperative for ensuring content authenticity across industries. This study explores the effectiveness of Bidirectional Encoder Representations from Transformers (BERT) in addressing this classification challenge. Utilizing a diverse dataset and robust preprocessing techniques, BERT achieved a peak F1-score of 0.94364, outperforming traditional models such as Logistic Regression and Support Vector Machines. The results underscore the potential of transformer-based models in addressing real-world con- tent verification problems. Future enhancements include fine-tuning and expanding datasets for greater generalizability.

Investigating Turmeric’S Sustainable Properties For Pest Control As An Ant Repellent, Sabyasachi Parija

2024 REYES Proceedings

Spices have long been known to possess various properties, including their ability to deter pests. This study investigates the potential of turmeric (Curcuma longa) as a natural ant-repellent. By testing the spice in various controlled environments, this research aimed to identify its efficacy compared to untreated baits. The results reveal that turmeric is a promising alternative to chemical pesticides, with significant effects in repelling ants without harm to the ecosystem.

The Ant-Repellant Activity Of Ginger (Zingiber Officinale) And Cardamom (Elettaria Cardamomum), Nevil S

2024 REYES Proceedings

Ants, while beneficial in natural ecosystems, can become pests when they invade human habitats. This study explored the potential of common household spices as a non-toxic alternative to chemical pesticides for ant repellency. Experiments were conducted using powdered ginger and crushed cardamom, which were applied to sugar biscuits (bait) in two ways: sprinkled on top and arranged in a circle around the bait. Ant activity was monitored over time, and data was analyzed using the Sign Test. The results indicated that both ginger and cardamom significantly repelled ants, demonstrating their effectiveness as natural ant deterrents. These findings suggest that spices …

White Pepper Powder Repels Ants, Mobashar Ahmad

2024 REYES Proceedings

In this study, I investigated ant responses to white pepper to see whether the spice can repel foraging ants. I performed several bioassays by placing control and treatment baits. The results demonstrated that white pepper powder significantly reduces ant activity.

Predicting Compressive Strength Of Concrete Incorporating Fly Ash, Blast Furnace Slag, And Superplasticizer Using Machine Learning Techniques, Muhammad Faisal Yaqub

2024 REYES Proceedings

Concrete is the second most essential element in the construction industry, and its strength requirements vary based on the specific conditions of each project. However, determining the compressive strength of concrete involves laboratory tests, which wastes a lot of time and money. Researchers have developed machine learning models that predict the compressive strength of cement-based concrete having various mixes. In this research, the compressive strength of concrete incorporating fly ash, blast furnace slag, and superplasticizer is predicted using different machine learning models, namely, Linear Regression, Random Forest Regression, Decision Tree Regression, Extreme Gradient Boosting, Light Gradient Boosting, AdaBoost, and CatBoost …

Investigations Into The Ant Deterrent Properties Of Asafoetida Ferula Asafoetida And Star Anise Illicium Verum, Chinmayaram K

2024 REYES Proceedings

This study assesses asafoetida and star anise as eco-friendly alternatives to chemical ant deterrents. It involved placing replicates of two bait types, a control (granulated sugar) and a treatment (granulated sugar and spice), on yellow paper substrates at five different ant-infested sites. The efficacy of the spice was evaluated by comparing the ant count on each bait every 10, 40, 60, 120, and 180 minutes. Percentage repellency (PR) was calculated for both the spices, and the data was analysed with the sign test. Further tests used only the treatment bait to evaluate the efficacy of the two varieties of asafoetida …

Nuclear Physics And Neutron Stars: Structure Of Compact Stellar Objects, Michel Geralddi Coria Magaña

2024 REYES Proceedings

The Tolman-Oppenheimer-Volkoff (TOV) equations provide a theoretical framework for modeling the structure of neutron stars and white dwarfs in hydrostatic equilibrium. Using Python and MATLAB, we simulate the mass-radius relationship, pressure, and density profiles of these compact stars, focusing on how ionized plasma dynamics contribute to their stability. By incorporating particle simulations into the visualization process, we model the internal forces of neutron stars and white dwarfs, demonstrating how computational tools offer unique insights into these celestial objects. The results align well with theoretical predictions and provide a solid foundation for future studies incorporating additional physical effects such as magnetic …

A Computational Study On The Structural Limits Of Neutron Stars Under Relativistic Conditions And Nuclear Phenomena, Marcelo Siles

2024 REYES Proceedings

This project investigates the modeling of neutron stars and white dwarfs using polytropic equations of state and relativistic corrections. By integrating relativistic effects into the Tolman-Oppenheimer-Volkoff (TOV) equations, we obtain more accurate predictions of neutron star properties, including mass-radius relationships and neutron degeneracy pressure. Non-relativistic models are inadequate under high pressures. Considering nucleon-nucleon interactions suggests that neutron stars can surpass the Tolman-Oppenheimer-Volkoff limit, theoretically reaching masses up to 2.3 𝑀_⊙. However, empirical data supports a more realistic mass range of 1.5 to 2.3 𝑀_⊙. The inclusion of neutron star crust modeling refines these predictions, indicating possible …

Part 2: Virginia's Metropolitan Areas: Growth, Challenges, And The Road Ahead, Dragas Center For Economic Analysis And Policy, Old Dominion University

State of the Commonwealth Reports

In this chapter, we survey the performance of Virginia’s metropolitan areas this decade. We first discuss population trends and the demographic challenges facing metro areas. We then delve into measures of economic activity, including taxable sales and Gross Domestic Product (GDP). We also discuss labor markets in each metro area. We conclude with thoughts about how Virginia can foster growth across its metropolitan areas.

A Review Of Hybrid Cyber Threats Modelling And Detection Using Artificial Intelligence In Iiot, Yifan Liu, Shancang Li, Xinheng Wang, Li Xu

Information Technology & Decision Sciences Faculty Publications

The Industrial Internet of Things (IIoT) has brought numerous benefits, such as improved efficiency, smart analytics, and increased automation. However, it also exposes connected devices, users, applications, and data generated to cyber security threats that need to be addressed. This work investigates hybrid cyber threats (HCTs), which are now working on an entirely new level with the increasingly adopted IIoT. This work focuses on emerging methods to model, detect, and defend against hybrid cyber attacks using machine learning (ML) techniques. Specifically, a novel ML-based HCT modelling and analysis framework was proposed, in which regularisation and Random Forest …

It Is Not Only About Having Good Attitudes: Factor Exploration Of The Attitudes Toward Security Recommendations, Miguel A. Toro-Jarrin, Pilar Pazos, Miguel A. Padilla

Engineering Management & Systems Engineering Faculty Publications

Numerous factors determine information security-related actions (IS-actions) in the workplace. Attitudes toward following security rules and recommendations and attitudes toward specific IS actions determine intentions associated with those actions. IS research has examined the role of the instrumental aspect of attitudes. However, authors argue that attitudes toward a behavioral object are a multidimensional construct. We examined the dimensionality of attitudes toward security recommendations, hypothesized its multidimensional nature, and developed a new scale [attitudes toward security recommendations (ASR scale)]. The results indicated the multidimensional nature of attitudes toward security recommendations supporting our hypothesis. The results revealed two dimensions corresponding to the …

Reinforcement Learning For Optimal Kicking Actions In Humanoid Robotics: Advancing Robotic Autonomy And Versatility, Suresh Dodda, Sathish Kumar Chintala, Sukender Reddy Mallreddy, Sharath Chandra Macha, Yashwanth Vasa, Sapan Bharadwaj Bonala, Navin Kamuni, Sujatha Alla

Engineering Management & Systems Engineering Faculty Publications

Acquiring the necessary skills to perform a work effectively and efficiently requires a significant investment of time and computing power. Previous applications of Reinforcement Learning (RL) for action optimization in humanoid robotics have shown how promising this technology is for moving robotics towards true autonomy and versatility. Therefore, this study offers the first use of RL to create an entirely optimal kicking action for the Alderbaran Nao robot. Kicking motions that were steady, precise, quick, and able to kick farther than any existing RoboCup squad were generated by optimizing for a multi-objective reward function. We demonstrate that the ideal kicking …

Data Driven Trade-Off Analysis For Cybersecurity, Goskel Kucukkaya, Murat Ozer, Murat Balci, Emrah Ugurlu

Engineering Management & Systems Engineering Faculty Publications

Trade-off analysis, a specialization of systems engineering, addresses design criteria like security, cost, performance, and compliance. Monte Carlo simulations are commonly employed to generate impact scenarios for trade-off analysis combined with solution alternatives that accommodate industry-specific considerations and uncertainties. In the cyber domain, this paper proposes a methodology for data-driven trade-off analysis in cybersecurity, leveraging industry reports as primary data sources using confidentiality, integrity, and availability as trade-off analysis objectives. Distribution functions are derived to manage and model uncertainties for various industries. The approach given in this study aims to facilitate informed choices and to enhance cybersecurity decision making and …

Is The Gi Bill Enough? An Exploratory Analysis Of Student Veteran Borrowing In College, Kim E. Bullington, Kaycee L. Bills, David J. Thomas, William L. Nuckols, Joshua L. Howell

Educational Leadership & Workforce Development Faculty Publications

In the United States, many student veterans use their GI Bill benefits to help fund their postsecondary education; however, when the GI Bill is not enough, student veterans may turn to grants and loans to subsidize their financial needs. This study examines the degree and extent to which Pell Grants and student loans are being used by student veterans using data pulled from the National Center for Education Statistics’ Baccalaureate and Beyond dataset. We found that Pell Grant awards were higher for student veterans with disabilities as well as Blacks and that a student’s age contributed to the overall amount …

Exploring Hedonic And Utilitarian Aspects Through Perceived Warmth In Human-Designed Vs. Ai-Generated Fashion, Dooyoung Choi, Ha Kyung Lee

Educational Leadership & Workforce Development Faculty Publications

Among various ways in which artificial intelligence (AI) is used in the fashion industry, its utilization in design has sparked public discussion about the potential replacement of human designers by AI. Along with this critical question, it is imminent to examine how consumers would respond to designs by AI. The purpose of this study is to explore consumers’ perceptions toward a fashion product labeled as generated by an AI system, comparing it to the same product labeled as designed by a human designer. Specifically, drawing from existing literature, we examine if the design source affects consumers’ perceptions of a product …

Smart Learning Development Model Of Indonesian Higher Education, Jajat Sudrajat, Widodo Samyono

Mathematics & Statistics Faculty Publications

This research aims to provide input to the Entrepreneurship Study Program to improve the learning process in the context of accelerating National Entrepreneurship so that it can be implemented in 59 Entrepreneurship Study Programs that are members of the apski.net, as a follow-up to the Focus Group Discussion with members of APSKI and KEMENKOPEKM. The research method used in this study is the Research and Development (R&D) method through a case study of the intelligent learning process in the Entrepreneurship Study Program, Bina Nusantara University (Binus). The result of this research is that the Entrepreneurship Study Program can brand entrepreneurship …

Latent Space Dynamics Learning For Stiff Collisional-Radiative Models, Xuping Xie, Qi Tang, Xianzhu Tang

Mathematics & Statistics Faculty Publications

In this work, we propose a data-driven method to discover the latent space and learn the corresponding latent dynamics for a collisional-radiative (CR) model in radiative plasma simulations. The CR model, consisting of high-dimensional stiff ordinary differential equations, must be solved at each grid point in the configuration space, leading to significant computational costs in plasma simulations. Our method employs a physics-assisted autoencoder to extract a low-dimensional latent representation of the original CR system. A flow map neural network is then used to learn the latent dynamics. Once trained, the reduced surrogate model predicts the entire latent dynamics given only …

Cats, Dogs, And Roll Waves: Solutions For Fermi Questions, April 2024, John Adam

Mathematics & Statistics Faculty Publications

On a hot afternoon in western North Carolina, the heavens opened and (to mix metaphors) it started raining “cats and dogs.” The rain was torrential, and soon a river of water was flowing downhill into the parking lot. In rivers and dam spillways, these are known as flood waves. The picture shows a particular type of flood waves known s roll waves—shock-like patterns separated by smooth profiles. In a steady-state situation, the drag forces on the water in the channel are balanced by the down-slope gravitational force. The dimensionless friction coefficient is C, the stream depth is h, v is …

Cats, Dogs, And Roll Waves, John Adam

Mathematics & Statistics Faculty Publications

This article discusses the phenomenon of roll waves, which are shock-like patterns separated by smooth profiles that occur in flood waves. The author mentions that in a steady-state situation, the drag forces on the water in the channel are balanced by the down-slope gravitational force. The article also includes questions for readers to estimate the speed and length of the roll waves, as well as determine the stability of the flow. The author provides additional information about the Chezy formula, an empirical equation used in fluid mechanics to estimate the mean flow velocity of open channel flow.

Tapped In: The Rise Of Mobile Malware, Chrystofuer Davenport

Cybersecurity Undergraduate Research Showcase

As the world of technology continues to evolve and become more advanced with our life, so do the dangers and threats that are determined to hinder that development. Malware continues to be a danger to internet surfers or people with access to technology. At first it was an issue that existed only with computers but since the evolution of smartphones in the early twenty-first century, mobile devices have been a target for multiple malware viruses. It’s important to be aware of what different viruses are capable of doing and how to avoid them when they are encountered. Even though computers …

Development Of A Positive Urinalysis Criteria Using A Machine Learning Approach, Kari Flicker, Jessica Parrott, Tammy Speerhas, Turaj Vazifedan, Theresa Guins, Jeffrey Bobrowtiz, Anne Mcevoy, Jade Eves, Debra Conrad, Benjamin Klick

Ellmer School of Nursing Faculty Publications

Background: Urinary tract infections (UTIs) are a commonly encountered diagnosis at pediatric urgent care (UC) centers. The urinalysis (UA) is usually the initial study in UC settings used to guide decisions regarding initiating empiric antibiotics and/or pursuing urine culture. However, studies in pediatric UC settings examining the ideal threshold for a positive result are lacking.

Methods: UA result data were extracted from the records of 6,327 pediatric patients, which were collected as part of a previous QI project. Logistic regression was used to determine the predictors of positive urine cultures. Decision trees for a positive UA result for both clean …