Digital Commons Network^™

Emulating Human Personality With Large Language Models Through Contextual Prompts And Fine-Tuning, Mrunal Zambre

Master's Projects

The quest for AI systems that can mirror the intricate aspects of human emotion and personality is crucial for enhancing their performance. This project delves into the capabilities of Large Language Models (LLMs) to mimic the Big Five personality traits in human-written essays by utilizing contextual prompts and fine-tuning methods. Diverging from traditional research in this domain, this project explores smaller, open-source LLMs, including LLaMA 2 7B chat, LLaMA 2 13B chat, and Vicuna v.15 13B, to assess their potential in personality prediction tasks, thereby making high-level personality emulation more accessible and practical for application integration. Through meticulous prompt engineering, …

Sudoku As A Proof Of Useful Work Protocol On The Blockchain, Abishek Padaki

Master's Projects

The Proof of Work (PoW) consensus used by many blockchain networks like Bitcoin has been criticized for its excessive energy consumption and lack of tangible utility beyond maintaining the network. This report proposes a Proof of Useful Work (uPoW) protocol as an alternative consensus mechanism that utilizes computational resources to solve intrinsically valuable problems. Specifically, it explores the implementation of uPoW on the SpartanGold blockchain test network, where miners must solve Sudoku puzzles to validate new blocks. The report examines the shortcomings of traditional Proof-of-Work protocols, such as their environmental impact and inefficient use of computing power. It then delves …

Ranking-Based Hashtag Recommendation With Collaborative And Content-Based Filtering, Fei Pan

Master's Projects

The purpose of this project is recommending relevant hashtags for users using both Collaborative Filtering (CF) and Content-based filtering with Twitter dataset. The Twitter dataset was collected by leveraging Twitter API v2. After data preprocessing, 40,806 tweets posted by 278 users with 3,107 hashtags from 01/01/2022 to 04/30/2022 are used for model training and testing. For CF models, we will mainly focus on generating embeddings to learn about user and hashtag latent factors and finally predict a probability for unseen hashtags with most possibility will be ranked as topK items for corresponding users. In this project, Matrix Factorization (MF), Neural …

Explaining The Maliciousness Of Urls Using Shap And Lime, Ayush Nair

Master's Projects

No system has ever reached the levels of proliferation that the Internet now enjoys. It stands as the most widely spread distributed system across the globe; yet this evolution has given rise to an ever-growing wave of malintent that challenges every user and entity on the vast expanse of cyberspace. Malicious URLs loom large as vulnerabilities leaving users naked as they traverse online landscapes, but cybersecurity experts craft models with esoteric algorithms in a bid to stem this tide and shield users from cybercrime. However, peering into the decision-making corridors of these models holds key importance, it’s through understanding such …

Domain Switch On Sentiment Analysis Using Gradient Reversal Layer, Hemish Veeraboina

Master's Projects

Switching domains in sentiment analysis presents the challenge of transferring learned knowledge from one context to another without the need to label data. Traditional methods often struggle when dealing with differences in data distribution a problem known as the domain shift issue. To tackle this using Gradient Reversal Layers (GRL) has emerged as a solution for adapting to different domains in an unsupervised learning setting. This study introduces an enhancement to the standard GRL approach by incorporating a sigmoid function that gradually adjusts how intensely domain adaptation occurs during training. This upgraded GRL technique ensures controlled learning outcomes making it …

Scalable Container Caching Optimization With Action Masking For Serverless Edge Computing, Manikanta Sanjay Veera

Master's Projects

Serverless edge computing is an emerging technology that realizes the low latency and resource-efficient function calls for responsive computing. In cloud-based serverless computing, it is a common practice to cache sufficiently many function containers for future reuse to reduce the overhead of container initiation. In contrast, the capacity limitation of edge nodes poses a complex problem to the caching strategy in serverless edge computing of selecting an appropriate set of container caches based on the request distribution. Deep Reinforcement Learning (DRL) can play a crucial role in optimizing the caching decisions under dynamic request arrivals. In this paper, we propose …

Passive Sampler Derived Profiles And Mass Flows Of Perfluorinated Alkyl Substances (Pfass) Across The Fram Strait In The North Atlantic, Matthew Dunn, Simon Vojta, Thomas Soltwedel, Wilken-Jon Von Appen, Rainer Lohmann

Graduate School of Oceanography Faculty Publications

Per- and polyfluorinated alkyl substances (PFAS) are a family of pollutants of high concern due to their ubiquity and negative human health impacts. The long-range marine transport of PFAS was observed during year-long deployments of passive tube samplers in the Fram Strait across three depth transects. Time weighted average concentrations ranged from 2.4 to 360 pg L^–1, and 10 different PFAS were regularly observed. PFAS profiles and concentrations were generally similar to those previously characterized for polycyclic aromatic hydrocarbons (PAHs) at these sites. The detection of several anionic PFAS in “old” water demonstrated that they are not perfect …

From Lay Apostles To Missionary Disciples: Father Thomas A. Judge, C.M., And The Future Of The Catholic Laity, William L. Portier Ph.D.

Vincentian Studies

In the early twentieth century, Father Thomas Judge founded the Cenacle, a lay movement consisting of the secular Blessed Trinity Missionary Institute and two religious communities, the Missionary Servants of the Most Blessed Trinity and the Missionary Servants of the Most Holy Trinity. Inspired by Vincent de Paul and the French School of spirituality, Father Judge envisioned the Cenacle as a group that would help return people to the Church. William Portier explains what a lay apostle was in Judge’s time and how we might interpret the term in ours. Pope Francis has called the Church to a “synodal journey,” …

Vincentian Formation In Africa For Missionary Preaching In The Footsteps Of Saint Vincent De Paul, Linus Umoren C.M.

Vincentian Studies

Vincent de Paul was deeply concerned with the proper preparation of the clergy so that the poor could be evangelized. Linus Umoren outlines Vincent's method of preaching and the challenges the Church faced in reforming the clergy during the Counter-Reformation. Many of today’s new priests, including Vincentians, are coming from Africa. It is therefore necessary to develop a formation program that is uniquely suited to the African cultural context. Because of colonialism, the Church in Africa still needs to develop its own theological perspective instead of the one that had been brought to it by Europeans. It also faces several …

Vincentian Heritage 37:2

Vincentian Studies

No abstract provided.

Fifty Years Of 'Cut To Grow': How Changing Narratives Around Corporate Tax Policy Have Undermined Child And Family Well-Being, Reuven S. Avi-Yonah, Emily Divito, Niko Lusiani

Articles

What follows in this report is an assessment, though not exhaustive, of the central worldviews and set of assumptions driving key US corporate tax reform moments in history—and their consequences for the well-being of children and families in the US. Though political narratives of all kinds are never cleanly chronological (and this remains true of those pertaining to corporate taxation and well-being policies), we aim to build on existing understanding of how dominant narratives come to be and how they, to the extent that they do, drive corporate tax policy outcomes in the US. Looking back over the past 50 …

Corporate Taxpayers And Frivolous Arguments, Part 2, Reuven S. Avi-Yonah

Articles

In my previous column, I discussed the Liberty Global cases and argued that the taxpayer’s positions were frivolous or lacked economic substance. I also argued that a corporate tax director who knows that a return position is frivolous or that a transaction has no economic substance should “just say no.” Until the day arrives that most tax directors take this view (I am not holding my breath), the IRS must rely on a combination of the uncertain tax position schedule and penalties under section 6662.

Answering The Right Questions In Rawat, Reuven S. Avi-Yonah

Articles

The Rawat case, which is currently before the D.C. Circuit, has generated a huge amount of commentary. The problem is that much of this commentary has focused on the partnership tax issues in the case and not on the international tax issue, which is the source of the relevant income. In my opinion, the international tax issue should be dispositive.

Should Digital Services Taxes Be Creditable?, Reuven S. Avi-Yonah

Articles

The impending collapse of pillar 1 of the OECD’s base erosion and profit-shifting 2.0 project means that many countries are likely to join Austria, France, Italy, Spain, and the United Kingdom in enacting digital services taxes. There is a moratorium on new DSTs that has been extended until the end of 2024, but any extension beyond that is unlikely because the elimination of DSTs was premised on pillar 1 coming into effect, and that cannot happen without U.S. ratification of the multilateral tax convention (MLC). It is safe to predict that there will not be 67 votes in the Senate …

Why The United States Needs A Gaar, Reuven S. Avi-Yonah

Articles

The Internal Revenue Code of 1986, as amended, has over 1 million words and more than 5,600 pages. It is by far the longest and most complicated law in the U.S. code. The regulations add over 4 million words. Why?

A Fractured Supreme Court: Select Criminal Law And Procedure Cases From The Supreme Court’S 2023-24 Term, Eve Brensike Primus, Jordan Schuler

Articles

In its 2023-2024 Term, the Supreme Court outlined the contours of when a former President of the United States would be immune from criminal prosecution; issued important decisions interpreting the scope of the Cruel and Unusual Punishments Clause, the Double Jeopardy Clause, the Confrontation Clause, and the Second Amendment right to bear arms; decided a number of important statutory interpretation cases; and continued to avoid Fourth Amendment issues, only addressing them in the context of a malicious prosecution charge. Perhaps more striking than the Court’s decisions in these cases, though, was the Justices’ lack of consensus. Of the 16 criminal …

Mitochondrial Dna Genetic Variation Of Feral And Managed Honey Bee, Apis Mellifera, Colonies From Oklahoma, Allen Szalanski

Entomology and Plant Pathology Faculty Publications and Presentations

Understanding the genetic diversity of honey bees in North America provides valuable insight into the conservation, ecology, and evolution of this economically important insect. Here, we characterized the mitochondrial DNA (mtDNA) genetic variation in populations of the honey bee, Apis mellifera L., in Oklahoma by sequencing a portion of the mitochondrial cytochrome oxidase (COI-COII) intergenic region. The samples were primarily of feral origin (n = 164), as well as from 24 managed colonies. Samples were obtained from 50 of Oklahoma's 77 counties, which represented six distinct ecoregions. Of the 188 colonies sampled,19 distinct haplotypes were observed, which included: A (African) …

Mitochondrial Dna Variation In Honey Bee (Apis Mellifera) Colonies From Arkansas, U.S., Allen Szalanski

Entomology and Plant Pathology Faculty Publications and Presentations

This study characterized the mitochondrial DNA (mtDNA) genetic variation in Arkansas honey bee, Apis mellifera L., by sequencing a portion of the mitochondrial cytochrome oxidase (COI-COII) intergenic region). The samples were primarily of hobbyist-managed origin (n=180), as well as 32 feral colonies and two swarms. Of the 214 honey bee colonies and swarms sampled, 23 haplotypes were observed. The haplotypes were from the: A (African) (1.87%); C (South eastern European) (92.52%); M (Northern and Western European) (3.27%); and O (Near East and Middle East) lineages (2.34%). Six C lineage haplotypes were predominantly detected (n=189, 88.31%), all of which are common …

Access And Other Arterial Road Characteristics Influencing Pedestrians And Bicyclists’ Crashes In Albuquerque, New Mexico, Yully Tatiana Chaves Lasso, Lisa Lorena Losada-Rojas Phd., Nick Ferenchak Phd., Yan Lin Phd.

Civil Engineering ETDs

Pedestrians and bicyclists, known as Vulnerable Road Users (VRUs), are disproportionately affected by crashes. Arterial roads significantly impact crash rates, especially for VRUs. Previous research has identified factors contributing to VRU crash frequency. However, limited research focused on the relationship between these factors and VRU crashes in New Mexico, a state with high fatality rates for VRUs. This study aims to answer three research questions: i) Are high-speed, high-access roads more likely to experience crashes than roads with better access management? ii) Do more driveways per mile correlate with more VRU crashes per mile? iii) What other factors related to …

Reflective And Dialogical Approaches In Engineering Ethics Education, Lavinia Marin, Yousef Jalali, Alexandra Morrison, Cristina Voinea

Michigan Tech Publications

This chapter addresses the challenges of implementing reflective thinking in engineering ethics education (EEE). It examines existing methods for teaching ethical reflection in EEE and argues that pedagogical activities aiming to foster ethical reflection need to be infused with dialogical interactions and, at a deeper level, informed by dialogism. Dialogism is understood as a relational approach to inquiry in which interactions between moral agents enable them to develop their own understandings through the process of finding shared meanings with the others in activities such as sharing reasons and deliberation. Drawing on pragmatism and phenomenology, the authors conceptualize reflection as a …

Mixing Measurement On Hydrogen Jet By Libs Under Various Injection Strategies, Youngmin Ki, Jungho Justin Kim, Seong Young Lee, Joonsik Hwang, Choongsik Bae

Michigan Tech Publications

Favorable fuel properties of hydrogen for combustion system opens a new avenue to achieve deep decarbonization in transportation sector. Meanwhile, various technical challenges including low volumetric energy density, nitrogen oxide emissions, and backfire impede successful implementation of hydrogen in combustion engines. To overcome those issues, stratified charge combustion (SCC) is considered to optimize engine performance and emissions. As direct injection approach is utilized in SCC mode, ensuring quality of air-fuel mixing in combustion chamber is crucial. This study aims to understand hydrogen mixing behavior by quantitative measurement on equivalence ratio using laser-induced breakdown spectroscopy (LIBS). This measurement has been conducted …

Data Quality Based Intelligent Instrument Selection With Security Integration, Sergei Chuprov, Raman Zatsarenko, Leon Reznik, Igor Khokhlov

School of Computer Science & Engineering Faculty Publications

We propose a novel Data Quality with Security (DQS) integrated instrumentation selection approach that facilitates aggregation of multi-modal data from heterogeneous sources. As our major contribution, we develop a framework that incorporates multiple levels of integration in finding the best DQS-based instrument selection: data fusion from multi-modal sensors embedded into heterogeneous platforms, using multiple quality and security metrics and knowledge integration. Our design addresses the security aspect in the instrumentation design, which is commonly overlooked in real applications, by aggregating it with other metrics into an integral DQS calculus. We develop DQS calculus that formalizes the problem of finding the …

A Holistic Approach To Performance Prediction In Collegiate Athletics: Player, Team, And Conference Perspectives, Christopher Taber, S. Sharma, Mehul S. Raval, Samah Senbel, Allison Keefe, Jui Shah, Emma Patterson, Julie K. Nolan, N.S. Artan, Tolga Kaya

Exercise Science Faculty Publications

Predictive sports data analytics can be revolutionary for sports performance. Existing literature discusses players' or teams' performance, independently or in tandem. Using Machine Learning (ML), this paper aims to holistically evaluate player-, team-, and conference (season)-level performances in Division-1 Women's basketball. The players were monitored and tested through a full competitive year. The performance was quantified at the player level using the reactive strength index modified (RSImod), at the team level by the game score (GS) metric, and finally at the conference level through Player Efficiency Rating (PER). The data includes parameters from training, subjective stress, sleep, and recovery (WHOOP …

The Ethical Student Scale: Development Of A New Measure, Tuvana Rua, Leanna Lawter, Jeanine K. Andreassi Ph.D.

WCBT Faculty Publications

Purpose

The purpose of this study is to develop the “ethical student scale” to understand the underlying factors that lead to the decisions of cheating and plagiarism and where business students are developmentally from a moral perspective and to help academic institutions assess how best to develop ethical education throughout the curriculum. This three-dimensional nine-item scale based on Kohlberg’s moral development model is proposed to serve as a valuable tool for educators who are struggling with identifying the best approach to help their students make ethical choices both within and outside of the walls of their educational institutions and once …

Digital Transformation: The Global Sport Industry, James Santomier

WCBT Faculty Publications

Sport organizations have capitalized on economic, consumer, and media trends, harnessing the emotional significance of sport to connect with consumers. Digital transformation has revolutionized how these organizations manage their operations and engage with consumers. The 2012 London Olympics was a pivotal moment, marking a technological and marketing milestone in live sport mega events. It served as a catalyst for the convergence of digital technologies, media innovations, and creative business strategies among ecosystem partners. This convergence resulted in a new digital paradigm for sport events, enabling sport organizations and their brand partners to engage and interact with audiences worldwide. The London …

Innovation In Nonprofit Organizations In The Post-Pandemic Era: An Exploratory Study, Chun (Grace) Guo, Ximeng Chen, Valerie Christian, William C. Zhou, Andrés Felipe Cortés, Stephen M. Brown

WCBT Faculty Publications

Using firsthand insights from nonprofit executives, our study aims to contribute to a refined understanding of innovation within nonprofit organizations, particularly in the aftermath of a disruptive event – the COVID pandemic.

Design/methodology/approach

We adopted an inductive, qualitative approach based on in-depth personal interviews with executives of ten nonprofit organizations operating in the Northeast of the United States.

Findings

Our study uncovers the main challenges facing nonprofit organizations in the aftermath of the global pandemic. Our findings provide empirical evidence of how nonprofit organizations responded to these challenges through innovative efforts. We also have identified the innovation-enabling factors and types …

Effect Of Covid-19 On Performance And Recovery Of Division I Women’S Basketball Players: A Case Study, Julie K. Nolan, Christopher Taber, Samah Senbel, Mehul S. Raval, N.S. Artan, Tolga Kaya

Athletic Training Faculty Publications

This report aimed to examine the effects of COVID-19 on athletic performance and recovery in women’s basketball players. Twelve participants were included in this case report, with four serving as the test group and eight serving as the control group. All participants wore a Polar GPS unit and a Whoop Strap. The Polar unit was worn during games and practices and used to collect metrics of physical workload. The Whoop strap was worn during daily activities, including periods of sleep, to collect metrics of sleep and recovery. Data were analyzed via descriptive statistics (mean difference ± standard deviations), and T-tests …

Valorization Of Spent Vetiver Roots For Biochar Generation, Sameer Neve, Dibyendu Sarkar, Manas Warke, Teresa Bandosz, Rupali Datta

Michigan Tech Publications

Vetiver root is widely used to produce essential oils in the aromatherapy industry. After the extraction of oil, the roots are disposed of as waste. The central objective of this research was to explore the conversion of this waste into a resource using a circular economy framework. To generate biochar, vetiver roots were pyrolyzed at different temperatures (300, 500, and 700 °C) and residence times (30, 60, and 120 min). Analysis showed the root biochar generated at 500 °C and held for 60 min had the highest surface area of 308.15 m2/g and a yield of 53.76%, in addition to …

Prediction Of Chlorophyll-A As An Index Of Harmful Algal Blooms Using Machine Learning Models, Ibrahim Busari, Debrabata Sahoo, R. Daren Harmel, Brian E. Haggard

Biological and Agricultural Engineering Faculty Publications and Presentations

The complex dynamics of freshwater harmful algal blooms (HABs) necessitate proactive monitoring approaches to mitigate their impacts. The rapid breakthrough in computing prowess and statistical advances is triggering the development of data-driven techniques such as machine learning (ML) models, which have been shown in different fields to be instrumental in finding patterns for explaining relationships in observed data. This study assesses the ability of ML models for HABs monitoring in a lake using chlorophyll-a concentration as the index. The selected models for this study were regression tree, random forest (RF), multilayer perceptron (MLP), support vector regression (SVR), long short-term memory …

Heating Capacity And Biocompatibility Of Hybrid Nanoparticles For Magnetic Hyperthermia Treatment, Aline Alexandrina Gomes, Thalita Marcolan Valverde, Vagner De Oliveira Machado, Emanueli Do Nascimento Da Silva, Daniele Alves Fagundes, Fernanda De Paula Oliveira, Erico Freitas, José Domingos Ardisson, José Maria Da Fonte Ferreira, Junnia Alvarenga De Carvalho Oliveira, Eliza Rocha Gomes, Caio Fabrini Rodrigues, Alfredo Miranda De Goes, Rosana Zacarias Domingues, Ângela Leão Andrade

Michigan Tech Publications

Cancer is one of the deadliest diseases worldwide and has been responsible for millions of deaths. However, developing a satisfactory smart multifunctional material combining different strategies to kill cancer cells poses a challenge. This work aims at filling this gap by developing a composite material for cancer treatment through hyperthermia and drug release. With this purpose, magnetic nanoparticles were coated with a polymer matrix consisting of poly (L-co-D,L lactic acid-co-trimethylene carbonate) and a poly(ethylene oxide)–poly(propylene oxide)–poly(ethylene oxide) triblock copolymer. High-resolution transmission electron microscopy and selected area electron diffraction confirmed magnetite to be the only iron oxide in the sample. Cytotoxicity …