Digital Commons Network^™

Evaluation Of Strip-Tillage And Banded Phosphorus And Potassium Fertilizer For Corn Production In Eastern South Dakota, Charles N. Tesch

Electronic Theses and Dissertations

In South Dakota, the adoption of no-till and other conservation tillage practices has grown in recent years. However, conventional tillage is still a common practice in the eastern third of the state, negatively affecting soil health and the environment. Strip-tillage has gained interest in this region as a way to transition to conservation tillage while retaining some benefits of conventional tillage. Strip-tillage also provides the ability to subsurface band nutrients, particularly phosphorus (P) and potassium (K) fertilizers within the tillage strip, potentially improving nutrient accessibility and recovery while reducing environmental risks. This study aimed to investigate (i) the effects of …

Analysis Of Gas Station Drugs Using Gas Chromatography Mass Spectrometry And Fourier Transform Infrared Spectroscopy, Megan Joos

All ETDs from UAB

Gas stations and head shops are a seemingly safe and legal marketplace for drug purchase. However, although marketed as dietary supplements or cognitive enhancers, the products sold there have been known to contain psychoactive substances which may be mislabeled or actually contain regulated substances. This study investigates the composition of such products, specifically those labeled as kratom and non-kratom Mitragyna species using gas chromatography-mass spectrometry (GC-MS) and those labeled as phenibut using GC-MS and fourier transform infrared spectroscopy (FTIR). Samples were acquired from retailers in the Birmingham, AL area. The products underwent both qualitative and quantitative analysis of their ingredients …

Radioactive Seed Localization For The Resection Of Nonpalpable Breast Lesions, Katherine Ward

All ETDs from UAB

Accurate localization of malignant tissues is critical in breast cancer treatment to ensure effective therapy while minimizing damage to surrounding healthy tissues. Radioactive seed localization, specifically using Iodine-125 (I-125), is a prominent method due to its precision and minimally invasive nature. However, this technique poses a risk of radiation exposure to adjacent healthy tissues. This study aims to quantify the radiation dose to healthy breast tissue from I-125 seed implantation by employing two distinct computational approaches: a hemisphere breast model in MATLAB and Monte Carlo simulations in Mathematica. The American Association of Physicists in Medicine (AAPM) Task Group 43 (TG- …

Synthesizing Deception: Countering Large Language Model-Generated Phishing Campaigns Through Adaptive Semantic Anomaly Detection, Bekim Fetaji, Debabrata Samanta

Mesopotamian Journal of Computer Science

The paper fills in a gap in the literature that demonstrates an insufficient number of sturdy detection schemes that can recognize the small semantic aberrations inherent in LLM-generated deceptive text. Our proposed co-design hybrid model is Semantic Anomaly Detection with Isolation Forest (SADI) model that combines the synergistic mixture of a fine-tuned transformer-based LLM for deep semantic feature extraction with Isolation Forest algorithm that detects anomalies efficiently. This study introduces SADI, an adaptive semantic-anomaly detector for large-language-model phishing emails. Using a corpus of 10 000 messages, SADI attains an F1 score of 0.981 (95 % CI 0.978–0.984) and processes a …

A Biogeochemical Perspective On Acidification And Buffering Capacity In The Piscataqua Estuary, Sanjana Varanasi

Master's Theses and Capstones

Coastal acidification is influenced not only by rising atmospheric CO2 and river-ocean mixing, but also by metabolic processes that alter seawater carbonate chemistry and buffering capacity. This study examines how sedimentary biogeochemical processes contribute to carbonate system variability in the Piscataqua Estuary, a tidally dynamic channel connecting Great Bay to the Gulf of Maine. The biogeochemical processes considered include sedimentary aerobic respiration, denitrification, sulfate reduction, and carbonate dissolution or precipitation. Two incubation experiments were conducted in September and October of 2024 at the University of New Hampshire’s Coastal Marine Laboratory (CML) to quantify changes in pH, dissolved inorganic carbon (DIC), …

Generalizing Classification Of Pilot Workload: Transfer Learning Versus A Jepa-Inspired Transformer Architecture, Naim Barnett, Shivani Nagrecha, Morgan Glover, Clayton Harper, Justin Wilson, James Maher, Eric C. Larson

International Journal of Aviation, Aeronautics, and Aerospace

Within the context of learning, there poses difficulty when objectively measuring human performance. In this work, we investigate the evaluation of human performance via its relation to the individual's mental capacity by classification of cognitive load within the domain of aviation. By utilizing a mixed virtual and physical flight simulation environment in conjunction with biometric sensing, we create and evaluate the predictive capabilities of a Joint-Embedding Predictive Architecture (JEPA) and compare the architecture and results to traditional methods for transfer learning and domain adaptation. We find that our JEPA inspired architecture can achieve more than 70% accuracy of cognitive workload, …

Ml Model To Better Identify Instances Of Bullying Faced By Members Of The Lgbtq+ Community, Arslan Bisharat

Master's Theses

Cyberbullying poses a significant threat to online communities, with the LGBTQ+ community facing disproportionately higher rates of harassment. While existing cyberbullying detection systems have made progress in identifying general instances of online harassment, they often fail to capture the nuanced and context-dependent nature of LGBTQ+-targeted bullying. This thesis presents a novel approach to this challenge by developing SpectrumNet, an LGBTQ+-centric transformer-based model for cyberbullying detection. Our research was conducted in two phases. In Phase 1, we evaluated the effectiveness of pre-trained transformer models (RoBERTa, BERT, and GPT-2) in identifying LGBTQ+-related cyberbullying. Building on these findings, Phase 2 introduced SpectrumNet which …

Early Entering Research And Writing (Eerw) In College-Level Statistics, Rebecca Fang

2025 Faculty Bibliography

With the high demand for data-driven knowledge, students today need to comprehend skills in problem-solving, critical thinking, communication, and collaboration. However, in traditional statistics lectures, students learn descriptive algorithms, hypothesis, and linear regression at their early stage of college. Unfortunately, they often analyze numbers without considering the context, purpose, audience, and the meaning of the numbers. Therefore, providing students the early opportunity to research and write with data in college will allow them to deepen their understanding of the subjects, to think critically about the data and the results, to communicate effectively with diverse audience, and to prepare for their …

Complex Missing Data Problems In Education Surveys, Thomas Wesley Robertson

Electronic Theses & Dissertations (2024 - present)

Missing data are a nearly universal problem in human subjects research, including in education. However, reporting and addressing missing data is an issue, despite guidelines from the APA style guide and the What Works Clearinghouse, as well as guidance from prominent statisticians on the best methods to use. Prior research conducted in 2004 and 2014 found that in the field of education, most studies do not report or address missing data. In addition, no study has looked specifically at how missing data are reported and addressed in complex surveys. The current study has two main objectives: first, to determine if …

Ai-Generated Messaging For Life Events Using Structured Prompts: A Comparative Study Of Gpt With Human Experts And Machine Learning, Christopher Lynch, Erik Jensen, Ross Gore, Virginia Zamponi, Kevin O'Brien, Brandon Feldhaus, Katherine Smith, Joseph Martínez, Madison H. Munro, Timur E. Ozkose, Tugce B. Gundogdu, Ann Marie Reinhold, Hamdi Kavak, Barry Ezell

VMASC Publications

Large Language Models (LLMs) play an increasingly integrated and pivotal role in generating diverse types of texts, such as social media messages, emails, narratives, and technical reports, among other textual communication forms. As AI-generated messaging filters into human communication, a systematic exploration of their effectiveness for mimicking human-like communication of life events is needed. In this study, we employ a zero-shot structured narrative prompt to generate 24,000 life event messages for birth, death, hiring, and firing events using OpenAI's GPT-4. From this dataset, we manually classify 2880 messages and evaluate their validity in conveying these life events through the form …

Examining Non-Traditional Online Learners' Ownership Of Learning In The Context Of Chatgpt-Facilitated Design, Mohan Yang, Tian Luo, Kristin Herman, Belle Li, Shanan Chappell Moots, Noah Glaser, Shiyan Jiang

STEMPS Faculty Publications

Generative artificial intelligence (GenAI) offers potential solutions to educational challenges by personalizing learning experiences for diverse learners. However, it also introduces complexities around issues of ownership of learning. As an indicator of empowered learning, ownership is a multifaceted but underexplored concept. In this study, the authors adopted a mixed-methods multiple-case study design to explore non-traditional online students’ perceived ownership of learning when using ChatGPT for instructional design. The authors adopted the psychology ownership construct consisting of self-efficacy, accountability, belongingness, and self-identity as the theoretical framework. Findings revealed students’ prior AI experiences and educational levels played a significant role in their …

Identifying The Impacts Of Land Use/Land Cover Changes On Ecosystem Services From A Geospatial Perspective In Albany County, Kyaw Khaung Thant Zin

Electronic Theses & Dissertations (2024 - present)

Ecosystem services encompass the broad array of direct and indirect advantages that people derive from nature and its ecosystems. Considering accelerating environmental change and degradation, recognizing the importance of these services is more crucial than ever, as they illustrate the many ways in which healthy ecosystems sustain human life. However, these services are diminishing at a rapid and unprecedented rate, raising global concern over both the transformations taking place and their root causes. Among the leading threats, land-use change stands out as a particularly significant one, influenced by a variety of driving factors. Albany County, New York, characterized by its …

Socially Shared Regulation Of Learning And Artificial Intelligence: Opportunities To Support Socially Shared Regulation, Jinhee Kim, Rita Detrick, Seongryeong Yu, Yukyeong Song, Linda Bol, Na Li

STEMPS Faculty Publications

Supporting learners in achieving high-level socially shared regulation of learning (SSRL) in the online collaborative learning (OCL) context presents challenges that the utilization of artificial intelligence (AI) technologies may help solve. However, the effective uses of AI to support multifaceted areas (cognition, metacognition, and motivation) and phases (forethought, performance, and reflection) of SSRL remain elusive. Furthermore, research on developing an educational AI and what pedagogical attributes and elements are required for AI to support students' SSRL effectively is limited. This study, therefore, aims to investigate students' perceptions of AI applications in enhancing SSRL and to explore the essential pedagogical elements …

Leveraging Custom Gpts For Formative Assessment And Feedback, Nari Kim, Jason Vickers, Shaimaa Alyehaibi, Chikezie Ozuzu, Xinyue Ren, Suhasini Kotcherlakota

STEMPS Faculty Publications

As artificial intelligence (AI) advances, the use of custom generative pre-trained transformers (Custom GPTs) in formative assessments opens new opportunities for improving student learning and engagement. Custom GPTs increase cognitive and emotional engagement by providing timely, context-sensitive, and tailored responses based on unique learner profiles. This paper aims to investigate how custom GPT-driven formative feedback can enhance individualized learning experiences and improve student performance. This paper will discuss the promise of this AI tool, the challenges associated with its application, and recommendations for educators and academics looking to use these technologies for formative assessments.

Evaluating The Emotional Accuracy Of Ai-Generated Facial Expressions In Neurotypical Individuals, Antonio Pagán, Katherine A Loveland, Ronald Acierno

Faculty, Staff and Student Publications

This study examines the ability of generative artificial intelligence to produce facial expressions representing basic emotions in a neutral context using black-and-white cartoon imagery. Mentalization, the capacity to recognize and interpret one’s own and others’ mental states, is critical for social interaction and emotional regulation. We explored the emotional validation of artificial intelligence (AI)-generated images by assessing the agreement between human interpretations of emotions and those generated by an AI model. Thirty-four participants evaluated images depicting six basic emotions: sadness, anger, happiness, surprise, fear, and disgust. Our findings revealed significant variability in human agreement, with higher concordance for sadness, anger, …

Check Your Data Before You Wreck Your Model: The Impact Of Careless Responding On Substance Use Data Quality, Abby L. Braitman, Anna M. Petrey, Jennifer L. Shipley, Rachel Ayala Guzman, Emily Renzoni, Alison Looby, Adrian J. Bravo

Psychology Faculty Publications

Background: The accuracy of survey responses is a concern in research data quality, especially in college student samples. However, examination of the impact of removing participants from analyses who respond inaccurately or carelessly is warranted given the potential for loss of information or sample diversity. This study aimed to understand if careless responding varies across a number of demographic indices, substance use behaviors, and the timing of survey completion.

Method: College students (N = 5809; 70.7% female; 75.7% White, non-Hispanic) enrolled in psychology classes from six universities completed an online survey assessing a variety of demographic and substance use-related information, …

Am I As Effective At Identifying Emotions As Artificial Intelligence? A Comparative Study Of Emotional Recognition, Traci R. Grove, Alexandra T. Lucas, Maryann Martin, Cathleen M. Deckers, Lulu Sherif Mahmood, Nicole Danaher-Garcia, Mark W. Scerbo, Suzan Kardong-Edgren, Janice C. Palaganas

Psychology Faculty Publications

Background

Learning conversations, or dialogues aimed at deepening understanding and reflection, are deeply influenced by emotions. Effective communication is influenced by emotional intelligence - the ability to recognize, understand, and manage both one’s own and others’ emotions. While advances in artificial intelligence (AI) offer new tools for emotion recognition, these technologies still struggle with accurately interpreting subtle and culturally diverse emotional expressions, sparking debate about their reliability and effectiveness. This article provides a comparative analysis of human versus AI recognition of emotions during an end-of-course reflective learning conversation.

Methods

Emotions during a structured post-conference debriefing were analyzed and coded by …

Automation To Autonomy: Temporal Dynamics Of Trust And Visual Attention Allocation Did Not Evolve, Tetsuya Sato, Eric Chancey, Yusuke Yamani

Psychology Faculty Publications

Emerging work environments are expected to implement autonomy that performs various functions without human input. Previous works has shown that trust in automation is negatively correlated with visual attention allocation, indicating that trust is a dynamic construct. Moreover, trust in automation and trust in autonomy appears to evolve in similar ways. However, recent work has demonstrated differences between trust in automation and trust in autonomy within Kaber’s (2018) theoretical framework (Sato et al., 2023b). Yet, it is uncertain whether the development of trust and visual attention allocation differs between automation and autonomy. The present study examined the temporal dynamics of …

The Interacting Roles Of Attention Allocation And Trust In Highly Automated Aam Environments, Yusuke Yamani

Psychology Faculty Publications

[First slide]

Mechanisms of attentive visual processing

• Attention control
• Visual search
• Eye movement
• Aging and individual differences

Limits of human performance in applied environment

• Complex displays
• Machine operation
• Surface transportation
• Advanced air mobility
• Nuclear operation

Methods to ameliorate human cognitive performance

• Human-machine interface
• Human autonomy/AI teaming
• Human-systems integration
• Training

Trustworthiness And Trust: Identifying Factors That Drive Successful Human-Ai Interaction In Nuclear Power Plant Applications, Yusuke Yamani, Austin Jackson, Casey Kovesdi, Jeffrey Joe, Jeremy Mohon

Psychology Faculty Publications

Emerging technologies such as artificial intelligence (AI) and machine learning are rapidly evolving and promising tools for efficient and continued safe operations of the U.S. nuclear power plants (NPPs). Emerging AI techniques like large language models (LLMs) are one such technology that may help personnel at existing NPPs perform work more efficiently. For example, operators may query the current operational status of a power plant via a chat interface, leveraging LLMs to access plant-related information in an interactive manner rather than manually collecting various sensor data for surveillance or work order tasks. This is a fundamental shift in the way …

Avoiding Racial Equity Detours: Racial Equity Trainers’ Visions Of Racially Equitable Residential Environmental Education, Anna Mooney Ph.D.

Antioch University Dissertations & Theses

This study investigated how racial equity trainers envision racially equitable residential environmental education (REE). While addressing racial inequities has been central to environmental scholarship, equity detours undergirded by systemic power structures continue to pose significant barriers in addressing inequities in practice. The research explored the question: “How do racial equity trainers envision racially equitable residential environmental education?” Using constructivist grounded theory and drawing on portraiture’s “search for goodness,” the study conducted 1-hour virtual interviews with six racial equity trainers, employing iterative coding through the constant comparative method. A 2-hour virtual focus group and subsequent 30-minute “dissertation reality check” provided additional …

Co-Becoming Our Way From Ecocide To The Pluriverse, Jupong Lin Ph.D.

Antioch University Dissertations & Theses

Coloniality/modernity is dying. Rising temperatures over land and sea, the extreme weather of the past decade, rising sea levels, arctic ice loss, and mass extinction are just a few indicators that the world has moved far beyond climate change to climate catastrophe. My arts-informed research takes the view that climate catastrophe, perhaps more accurately described as “collective trauma,” is part of the prevailing story and worldview of modernity, defined by patterns of domination, conquest, extractivism, and capitalism. East Asian and Indigenous worldviews share an emphasis on relationality with the world of nonhuman beings and animist traditions that do not …

Complexity, Polycentricity, And Climate Change: An Embedded, Multi-Level Case Study Of A Climate Meta-Network, Timothy Staub

Antioch University Dissertations & Theses

The earth is in crisis, and without urgent, systemic, and collective global action to address the emerging threat of climate change, we will continue to see catastrophic events impacting humanity, threatening our very survival in many regions of the world. Temperatures will rise, ice shelves will melt, seas will rise, crops will fail, water scarcity from drought and new weather patterns will increase and spread, wildfires will accelerate, and food and water insecurity, violence, and the largest human migration in history will ensue. These climate crises will displace over 1.2 billion people by 2050 at a rate currently exceeding 21.5 …

21st-Century Stewardship: Infusing Environmental Education With Global Citizenship, Ava Y. Goodale

Antioch University Dissertations & Theses

In today's interconnected world, where socioecological issues transcend political borders, integrating environmental stewardship education with global citizenship education offers valuable opportunities for student empowerment. The goal of this multi-article dissertation was to conceptualize and operationalize 21st-century stewardship in educational settings. Twenty-first-century stewardship is a pedagogical approach that recognizes the limitations of environmental stewardship education as it is traditionally taught and is defined in Chapter II as an updated stewardship model that is infused with global citizenship’s multiscalar perspectives, global compacts, and layered identities to achieve its maximum impact in our interconnected world. This goal was first accomplished in Chapter II …

Summer Research Fellowship Project Descriptions 2025, Clark Science Center's Summer Research Fellows Program

SURF Abstracts (Women in Science)

A summary of research done by Smith College’s 2025 Summer Research Fellowship (SURF) Program participants. Ever since its 1967 start, SURF has been a cornerstone of Smith’s science education. Supervised by faculty mentor-advisors drawn from the Clark Science Center and connected to its eighteen science, mathematics, and engineering departments and programs and associated centers and units. At summer’s end, SURF participants were asked to summarize their research experiences for this publication.

Is Youth's Engagement In Agribusiness An Opportunity Or A Necessity? A Closer Look At The Situation In South Kivu, Eastern Democratic Republic Of The Congo, Cool Dady Mangole, Paul Martin Dontsop Nguezet, Shiferaw Feleke, Victor Manyong, Kamala Kaghoma Christian, Zoumana Bamba, Tahirou Abdoulaye

All Peer-Reviewed Publications

Despite the broad focus on necessity- and opportunity-driven entrepreneurship in research and policy, the entrepreneurial dichotomy within the agribusiness context has not been adequately addressed. This study contributes to closing this knowledge gap by examining youth's perceptions of agribusiness through the lens of the push-pull motivation framework. Results reveal that 47% of youth are driven into agribusiness by both necessity and opportunity, while 41% by necessity alone and only 12% by opportunity alone. Key factors shaping youth's perceptions include gender, education, food processing participation, agribusiness-related training, land ownership, monthly income, and family farming background. The result further identifies significant heterogeneity …

A Case Study Using The Transparency Framework And Artificial Intelligence To Promote Effective Writing And Student Success In A Writing-Intensive Course, Elizabeth A. Brown, Maria Kronenburg, Ashlee Steeley, Diana Tagbor

Health Behavior, Policy & Management Faculty Publications

Program evaluation data suggest that undergraduate students struggle with writing in a clear and concise manner and appropriately citing. Faculty implemented the plan-do study-act cycle to pilot the Transparency in Learning and Teaching (TILT) project framework and to explore the use of artificial intelligence (AI) and discuss approaches to using AI, along with the TILT framework, in a writing-intensive course to identify the pros and cons of using ChatGPT in an online classroom. The TILT framework reinforces adult learning by helping students clearly understand the assignment's purpose and establish a clear relationship between assignment and students' professional lives. Faculty encouraged …

A Qualitative Analysis Of College Students' Interest In Mhealth Solutions, Leslie Hoglund, Craig M. Becker, Cara Tonn

Health Behavior, Policy & Management Faculty Publications

This study explores college students' perceptions of an AI-driven mHealth application designed to promote well-being. With rising mental health challenges in academic settings, students increasingly seek digital tools that provide holistic support for physical, mental, and financial health. Through focus groups, this qualitative study examines students' preferences for personalized health tracking, educational content, and flexible reminders within a private, supportive community. Key findings emphasize students' desire for a balanced, all-in-one app that integrates health and wellness tools without overwhelming them with notifications. Students also highlighted the importance of social media integration for outreach, though concerns were raised about potential stress …

In Search Of The Rational Voter In The 2020 Presidential Election: Understanding The Impact Of Voter Costs And Benefits On Turnout, Norou Diawara, Tiffany Henley, Samuel L. Brown, Md Iqbal Hossain

Mathematics & Statistics Faculty Publications

The ability to vote is one of the most valuable rights and privileges afforded by the Constitution of the United States to its citizens. For many, voting is not just a civic duty; it is also a choice. Voting is crucial to our democracy, and any changes to it may affect the efficiency of the democratic process. The bigger question is whether voters behave rationally by engaging in a cost-benefit calculus in deciding whether or not to vote. Using data science, this paper will examine the probability of voting and investigate its impact via cost and benefit among other variables …

Intrinsic Motivation, Future Orientation, And Financial Stress: A Student-Centered Model Of Metaverse Classroom Adoption In Low-Income Contexts, Mousa Al-Kfairy, Omar Alfandi, Saed Alrabaee

All Works

The rapid rise of immersive technologies has placed metaverse-based classrooms at the center of higher education innovation. Yet, little is known about how students in low-income contexts perceive and adopt these platforms, particularly when motivation, career goals, and financial pressures intersect. This study develops and tests a student-focused model that integrates intrinsic motivation, future time perspective, career relevance, and financial stress to explain behavioral intention toward metaverse adoption. A survey of 292 university students in Jordan—a lower-income national setting—was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results showed all hypothesized paths were significant. Future time perspective and career …