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Articles 301 - 330 of 15481
Full-Text Articles in Entire DC Network
Ai Literacy: An Annotated Oer Bibliography, Houy Yvonne
Ai Literacy: An Annotated Oer Bibliography, Houy Yvonne
UNLV Best Teaching Practices Expo
"Scalable, discipline-agnostic AI literacy instruction can be implemented incrementally without requiring full course redesign in higher education, supporting both technical understanding and critical engagement with the social and ethical dimensions of AI: The curated list of open educational resources (OER) on this poster enable a flexible, modular approach to teaching foundational AI literacy. The annotated list includes self-paced, hands-on projects with complementary educator-guided activities and discussion to support conceptual understanding of machine learning, training data, and algorithmic bias, drawing on OER such as Code.org’s AI curriculum, MIT RAISE’s Day of AI, and the multi-lingual Elements of AI course. Many resources …
Uncertainty Handling In Stock Market Prediction: A Fuzzy Markov Chain Approach, Alpa Singh Rajput, Arpan Singh Rajput
Uncertainty Handling In Stock Market Prediction: A Fuzzy Markov Chain Approach, Alpa Singh Rajput, Arpan Singh Rajput
Neutrosophic Systems with Applications
Predicting the stock market is never easy because it is influenced by many uncertain and constantly changing factors such as economic conditions, investor behaviour, and global events. Traditional models like the Crisp Markov Chain (CMC) try to predict market movements by using fixed probabilities for different states like bullish, bearish, or stagnant. However, real markets do not behave in such a strict way—they often move gradually between states, which these models fail to capture. To overcome this limitation, this study introduces a Fuzzy Markov Chain (FMC) model, where fuzzy logic is used to handle uncertainty and allow smoother transitions between …
Warming Climate Amplifies Vapor Pressure Deficit Limits On Gross Primary Productivity, Shiqin Xu, Nate G. Mcdowell, Tim R. Mcvicar, Diego G. Miralles, Stephen Sitch, Pablo Sanchez-Martinez, Joshua B. Fisher, Pierre Friedlingstein, Hylke E. Beck, Matthew F. Mccabe
Warming Climate Amplifies Vapor Pressure Deficit Limits On Gross Primary Productivity, Shiqin Xu, Nate G. Mcdowell, Tim R. Mcvicar, Diego G. Miralles, Stephen Sitch, Pablo Sanchez-Martinez, Joshua B. Fisher, Pierre Friedlingstein, Hylke E. Beck, Matthew F. Mccabe
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Ongoing climate warming may profoundly impact terrestrial gross primary productivity (GPP), a key component of the global carbon cycle. However, uncertainty in the relative roles of atmospheric water demand (vapor pressure deficit, VPD) and root-zone soil moisture (SM) limits predictions of drought impacts on GPP. Here, we show that growing-season GPP was more strongly constrained by VPD than SM globally, based on observation-constrained model estimates, satellite retrievals and Dynamic Global Vegetation Model simulations. The importance of VPD increased with higher temperatures and more severe and prolonged droughts. This pattern reflects VPD’s critical role in regulating stomatal conductance and plant hydraulic …
Volume 12 Full Text, Bjur Staff
Volume 12 Full Text, Bjur Staff
Butler Journal of Undergraduate Research
No abstract provided.
Exploring Gender As An Analytical Framework In The 2018-2019 Revolution And Ongoing Civil War: The Role Of Gendered Violence And Sudanese Women's Resistance, Ami John
Butler Journal of Undergraduate Research
This paper will interrogate the intersection of gender, war, and political upheaval within Sudan while focusing on the role of women in both the 2019 resistance and the ongoing conflict and revolution. By the end of 2018, mass protests had called for the ousting of Omar al-Bashir, the long-standing Sudanese president. This event set off a chain reaction which led to events that fueled the long-standing rivalry between the two militant groups that were active in Sudan, the Rapid Support Forces (RSF) and the Sudanese Armed Forces (SAF). The tension caused by this rivalry created unforeseen circumstances for the local …
Front Matter And Table Of Contents, Bjur Staff
Front Matter And Table Of Contents, Bjur Staff
Butler Journal of Undergraduate Research
No abstract provided.
Automated, Modular, Agentless Adversarial Emulation In Cloud Environments For Higher Education And Student Training, Doc Harley
Senior Honors Theses
Currently, the leading technologies in the market of adversarial emulation are MITRE Caldera, Atomic Red Team by IBM, and multiple proprietary products that come with support packages for different vendors like AttackIQ, Cymulate, SafeBreach, and many more. While it is clear that much work has been done in the broad category of adversarial emulation, when it comes to open source solutions, there are no agentless options with built in automation and modularity that have good support for cloud environments. Agentless adversarial emulation provides a unique advantage in that it can be both simpler and a better representation of the true …
Cooperation And Conflict: Oswald Veblen And Abraham Flexner, Juan Carvajalino, Della Dumbaugh
Cooperation And Conflict: Oswald Veblen And Abraham Flexner, Juan Carvajalino, Della Dumbaugh
Department of Math & Statistics Faculty Publications
In 1929, Caroline Bamberger Fuld and her brother, Louis Bamberger, sold their department stores, Bamberger & Co., at a particularly timely moment. They invested their sizeable fortune in a new academic initiative in America, an institute devoted to research that would go by the name of the Institute for Advanced Study. This paper introduces two colleagues, Abraham Flexner and Oswald Veblen, and explores the cooperation and conflict between them as they worked alongside one another to shape the Institute for Advanced Study and the School of Mathematics within it.
Building Human-Aware Ai: Learning From And Assisting Human Decision-Makers, Saumik Narayanan
Building Human-Aware Ai: Learning From And Assisting Human Decision-Makers, Saumik Narayanan
McKelvey School of Engineering Graduate Student Theses & Dissertations
As artificial intelligence systems become more capable, they are increasingly used not only as standalone problem-solvers, but as systems that learn from and interact with humans. In these settings, success depends not only on the strength of the model in isolation, but also on how well it fits the humans it is trained on or deployed alongside. This dissertation argues that human heterogeneity is a central ingredient in the design of effective human-aware machine learning systems. Rather than treating differences between people as noise to be averaged away, I show that variation in human expertise and preferences can provide useful …
Revisiting Visualization Literacy: What Standardized Assessments Reveal And Conceal Across Instruments, Cultures, And Ai Systems, Saugat Pandey
Revisiting Visualization Literacy: What Standardized Assessments Reveal And Conceal Across Instruments, Cultures, And Ai Systems, Saugat Pandey
McKelvey School of Engineering Graduate Student Theses & Dissertations
Data visualizations are now a primary medium for public communication, scientific reasoning, and decision-making. By transforming complex data into accessible graphical forms, visualizations are widely assumed to make information comprehensible to broad audiences. Yet the ability to accurately read, interpret, and critically evaluate a visualization, what researchers call visualization literacy, is neither uniform nor universal. It is a learned, multidimensional skill shaped by prior exposure, educational opportunity, and context. While the field has developed standardized instruments to measure visualization literacy, these tools were built under narrow assumptions: participants are typically paid, English-speaking, and recruited from Western online panels. When any …
Coexistence Of“Emotion”And“Rationality”：Analysis Of The Impact Mechanism Of Frequent Reversal Events On The Evolution Of Online Public Opinion, Liqiang Wang, Xueqi Li, Yixian Wang
Coexistence Of“Emotion”And“Rationality”：Analysis Of The Impact Mechanism Of Frequent Reversal Events On The Evolution Of Online Public Opinion, Liqiang Wang, Xueqi Li, Yixian Wang
Journal of Scientific Information Research
[Purpose/significance] In recent years, frequent reversal events have negatively impacted the online media environment, leading to an increasing number of skeptical voices during the evolution of public opinion.These doubts are no longer merely emotional outbursts but also involve rational understanding of the event's authenticity. This study aims to gain a deeper understanding of this phenomenon and attempts to reveal the impact mechanism of frequent reversal events on the evolution of online public opinion. [Method/process] Through surveys and computer simulation experiments, the study analyzes various elements such as individuals, media environment, and evolution patterns in online public opinion,then according to the …
Rosenzweig's Elements And Universal History, Martin Zwick
Rosenzweig's Elements And Universal History, Martin Zwick
Complex Systems Faculty Publications and Presentations
This paper uses Rosenzweig’s conception of the three elements of God, World, and Human from The Star of Redemption in a model of universal history. The model also has some relation to Rosenzweig’s geopolitical essay, Globus, which is very different from the meta-historical Star. Based on a systems-theoretic schema of events and processes, the model views human history in terms of three linked processes: a primary process labeled “World” – the origin and development of human society embedded in nature, a secondary process labeled “God” – the origin and development of the Axial religions and philosophies, and a …
The Intersection Of Visual Communications, User Experience, & Design Theory: A Case Study With The Dog Spaw, Jessica Miltner
The Intersection Of Visual Communications, User Experience, & Design Theory: A Case Study With The Dog Spaw, Jessica Miltner
Honors Projects
This project explored the intersection of visual communication, user experience, and design theory, focusing on researching design and UX principles and applying them in a real-world case study with The Dog Spaw from Celina, Ohio. The project resulted in a redesigned website that aims to influence user behavior by improving perceptions of trust, professionalism, brand consistency, and ease of use, and by examining how these perceptions, in turn, influence user action.
2026 - The Thirtieth Annual Symposium Of Student Scholars
2026 - The Thirtieth Annual Symposium Of Student Scholars
Symposium of Student Scholars Program Books
The full program book from the 30th Annual Symposium of Student Scholars, held on April 22-24, 2026. Includes abstracts from the presentations and posters.
Worldview-Bench: A Benchmark For Evaluating Global Cultural Perspectives In Large Language Models, Abdullah Mushtaq, Imran Taj, Rafay Naeem, Ibrahim Ghaznavi, Junaid Qadir
Worldview-Bench: A Benchmark For Evaluating Global Cultural Perspectives In Large Language Models, Abdullah Mushtaq, Imran Taj, Rafay Naeem, Ibrahim Ghaznavi, Junaid Qadir
All Works
Background: Large Language Models (LLMs) are predominantly trained and aligned in ways that reinforce Westerncentric epistemologies and socio-cultural norms, leading to cultural homogenization and limiting their ability to reflect global civilizational plurality. Existing benchmarking frameworks fail to adequately capture this bias, as they rely on rigid, closed-form assessments that overlook the complexity of cultural inclusivity. Objectives: To address this cultural bias problem, we introduce WorldView-Bench, a benchmark designed to evaluate Global Cultural Inclusivity (GCI) in LLMs by analyzing their ability to accommodate diverse worldviews. Methods: Our approach is grounded in the Multiplex Worldview proposed by Senturk et al., which distinguishes …
The Role Of Human-Centered Artificial Intelligence In Crewed Mars Missions, Jordan Neuman
The Role Of Human-Centered Artificial Intelligence In Crewed Mars Missions, Jordan Neuman
Student Publications and Presentations
The suggestion of implementing Artificial Intelligence (AI) in crewed missions to the Martian surface can revolutionize mission operations, psychological support, and ethical decision‑making under challenging conditions. This study is a structured, qualitative literature review of current AI research for the future of human space exploration. It uses publicly available peer‑reviewed journal articles and NASA/ESA technical reports on AI for Mars missions. Using Perplexity, the researcher first prompted the AI tool to identify recurring topics across these sources and generate themes. The researcher independently reviewed all sources to confirm and refine those themes. Three themes—mission autonomy, local resource utilization and life‑support, …
Ex-04-142 Modeling Distress And Evaluating Chatbot Safety For Suicide-Related Social Media Texts, Rehma Razzak
Ex-04-142 Modeling Distress And Evaluating Chatbot Safety For Suicide-Related Social Media Texts, Rehma Razzak
C-Day Computing Showcase
This project addresses the urgent need for transparent chatbot safety evaluations amid rising concerns about AI-facilitated self-harm. Using public social media datasets, we simulate two tasks: (1) detecting suicidal ideation via emotion-based risk scoring, and (2) stress-testing a support-style chatbot against 888 high-risk prompts, including euphemisms and “for a story” framing. A multi-label classifier trained on GoEmotions feeds emotion profiles into a logistic regression model to generate suicidality risk scores. These scores guide a local chatbot built with Ollama’s llama3, which analyzes user messages and steers responses toward safe, empathetic behavior. Evaluation shows ~90% of replies were safe or supportive. …
The Item Response Warehouse: What It Is, How To Use It, And Targets For Potential Improvements, Savira D. Nadela, Hansol Lee, Nishka Jain, Ayaan Gupta, Xingyi Zhang, Benjamin W. Domingue
The Item Response Warehouse: What It Is, How To Use It, And Targets For Potential Improvements, Savira D. Nadela, Hansol Lee, Nishka Jain, Ayaan Gupta, Xingyi Zhang, Benjamin W. Domingue
Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊
The Item Response Warehouse (IRW) is a repository of harmonized item response datasets designed to support secondary analysis and methodological research in psychological and educational measurement. This paper serves as a practical guide for researchers interested in using the IRW. We describe the structure of IRW datasets and the quantitative and qualitative metadata available for dataset selection, and we demonstrate how researchers can navigate the IRW website to explore and compare available tables. We further show how the IRW R and Python packages can be used to filter datasets programmatically, download response-level data, and generate standardized citations for reproducible research …
Sustainability, Culture, And Higher Education: An Autoethnographic Sustainability Comparison Of The Sustainability Initiatives At The University Of Salzburg And Bowling Green State University, Madison Alt
Honors Projects
Human activity is already triggering damaging environmental tipping points (Lenton, 2020), emphasizing the need for sustainability in all aspects of development. Institutes of Higher Education (IHEs) have the power and responsibility to contribute to a more sustainable world (Parr et al., 2022). Bowling Green State University (BGSU) in Ohio, United States, and the Paris Lodron University of Salzburg (PLUS) in Salzburg, Austria are two IHEs with multifaceted sustainability programs. While living and studying at BGSU and PLUS, I used autoethnography, a personal narrative approach, combined with public sustainability information to compare the sustainability initiatives at each university, and determine what …
Phishing Restraint: University Simulated Phishing Campaigns, Alexander M. Abou Khir
Phishing Restraint: University Simulated Phishing Campaigns, Alexander M. Abou Khir
Cybersecurity Undergraduate Research Showcase
Universities face heightened vulnerability to phishing attacks due to their open information-sharing culture and diverse user populations. This study examines how phishing exploits human factors within campus environments and evaluates three major training strategies: embedded phishing, microlearning, and role-based instruction to understand their individual and combined effectiveness. I explored studies that implement these strategies in pairs and use the strategies alone, identified trends in susceptibility reduction, behavioral reinforcement, and contextual relevance. I suggest that, while each method independently improves user awareness, multiple approaches offer stronger, more adaptable protection by addressing both psychological triggers and role-specific risks. The paper contributes a …
Emergent Dynamics In Multiplex Social Networks: Agent-Based Modeling Of Information Diffusion For Misinformation Control, Harshvardhan Prabhakar Ghongade, Anjali Ashokrao Bhadre, Shivani Agarwal, Harjitkumar Uttamrao Pawar, Harshal Subhash Rane
Emergent Dynamics In Multiplex Social Networks: Agent-Based Modeling Of Information Diffusion For Misinformation Control, Harshvardhan Prabhakar Ghongade, Anjali Ashokrao Bhadre, Shivani Agarwal, Harjitkumar Uttamrao Pawar, Harshal Subhash Rane
Northeast Journal of Complex Systems (NEJCS)
Information misrepresentation is widespread in multi-layered social networks which provide multiple avenues to communicate information. As such, it presents significant opportunities for both information integrity and public discourse to be undermined by disinformation. This paper outlines a new agent-based model, developed to capture emergent dynamics of multi-layered social networks and to help identify technical means to mitigate information misrepresentation in complex systems. A key component of this research includes a novel Multi-Layer Information Diffusion Model (MLIDM), integrating both cross-layer communication among agents, as well as heterogeneous agent behaviors and adaptive intervention strategies. Our methods employ a three-stage process to model …
Empowering Futures: Inspiring Young Girls In Stem Through Comics, Angel M. Griggs
Empowering Futures: Inspiring Young Girls In Stem Through Comics, Angel M. Griggs
Honors Theses
Women have historically been underrepresented in STEM fields. In my analysis, I explored how children’s literature representing historical women role models empower young girls to possibly pursue STEM careers. I applied Vekiri’s et. al (2024) research on attracting girls to STEM through interactive video games displaying STEM role models to comic books. In this project, I review academic literature, historical sources, and research articles to develop an educational comic book about historical women in STEM to help support the idea that creative activities and resources displaying role models can be influential to young children, specifically young girls. I focused on …
Understanding The Role Of Tiktok As A Source Of Support For Cyberbullying Victims, Saba Iqbal
Understanding The Role Of Tiktok As A Source Of Support For Cyberbullying Victims, Saba Iqbal
Theses and Dissertations
Cyberbullying poses a significant threat to teenagers and young adults, who often seek support and advice online. Little is known about the support and advice shared online for victims of cyberbullying and whether it is helpful. In this study, we used qualitative thematic analysis to examine a sample of 150 TikTok videos that give support or advice for cyberbullying victims. We identify 33 unique pieces of support and advice across 5 categories, with differences in tone and delivery among different types of videos. We then evaluated the quality of 33 unique pieces of cyberbullying advice in a user study with …
The Impact Of An Interactive Open Education Textbook For An Undergraduate Introductory Chemistry Course For Nonmajors, Erin Avram
Chemistry Faculty Publications
Reading informational text is a critical skill across most professions. Unfortunately, students are less likely to purchase the required course materials now compared to 2010. A free, interactive text was developed for an introductory chemistry course for non-STEM majors. This involved remixing existing texts and incorporating interactive activities to engage students during the learning process and provide opportunities for them to gauge their learning. Based on the results of a student survey, 82% of students reported that it was very important to them that the text was free and 80% of students who responded reported that they used the eText …
Negotiating Digital Identities With Ai Companions: Motivations, Strategies, And Emotional Outcomes, Renkai Ma, Shuo Niu, Lingyao Li, Alexander Hirth, Ava Brehm, Rowajana Behterin Barbie
Negotiating Digital Identities With Ai Companions: Motivations, Strategies, And Emotional Outcomes, Renkai Ma, Shuo Niu, Lingyao Li, Alexander Hirth, Ava Brehm, Rowajana Behterin Barbie
Computer Science
AI companions enable deep emotional relationships by engaging a user's sense of identity, but they also pose risks like unhealthy emotional dependence. Mitigating these risks requires first understanding the underlying process of identity construction and negotiation with AI companions. Focusing on Character.AI (C.AI), a popular AI companion, we conducted an LLM-assisted thematic analysis of 22,374 online discussions on its subreddit. Using Identity Negotiation Theory as an analytical lens, we identified a three-stage process: 1) five user motivations; 2) an identity negotiation process involving three communication expectations and four identity co-construction strategies; and 3) three emotional outcomes. Our findings surface the …
Characterizing User-Reported Risks Across Llm Chatbots, Lingyao Li, Renkai Ma, Zhaoqian Xue, Junjie Xiong
Characterizing User-Reported Risks Across Llm Chatbots, Lingyao Li, Renkai Ma, Zhaoqian Xue, Junjie Xiong
Computer Science Faculty Research & Creative Works
As Large Language Models (LLMs) become increasingly integral to daily life, users are engaging with multiple LLM chatbots for various needs; however, prior research on LLM risks often remains lab-based or focuses on single LLMs like ChatGPT or singular risks like privacy. To gain a multi-risk, cross-chatbot understanding of user experiences, we analyze Reddit discussions around seven major LLM chatbots using the NIST AI Risk Management Framework. We find that user-reported risks are unevenly distributed and chatbot-specific: ChatGPT is associated with safety and fairness concerns, Gemini with privacy, and Claude with security and resilience. Less frequent risks, such as explainability …
Older Adults And Emerging Technology Fraud In The Ai Deepfake Era, Thiago Neves
Older Adults And Emerging Technology Fraud In The Ai Deepfake Era, Thiago Neves
Research Days
Artificial intelligence has accelerated faster than society's ability to adapt, leaving older adults extremely vulnerable to AI-generated fraud. Americans over age 60 lost $4.9 billion to scams in 2024, 43% more than the previous year. In this research, I investigate how digital illiteracy, combined with AI-generated deepfakes, creates this crisis. Older adults struggle with three principal vulnerabilities: distinguishing legitimate sites from scams, judging whether online information is truthful, and understanding how algorithms use their data. AI weaponizes these gaps through voice clones, synthetic video calls, and personalized phishing emails that avoid the trust cues seniors tend to rely on. I …
Motivation Without Borders: Applying The Octalysis Framework To Global Faculty And Student Engagement In Ai Era, Harika Rao
Faculty and Staff Publications & Presentations
No abstract provided.
Llm-Based Stock Sentiment And Market Intelligence Platform, Joshua Thrower, Andrew Pinkerton, Ian Duggan, Wyatt Lester
Llm-Based Stock Sentiment And Market Intelligence Platform, Joshua Thrower, Andrew Pinkerton, Ian Duggan, Wyatt Lester
ATU Scholars Symposium
Financial markets increasingly react to social media discourse, yet investors lack tools to translate this unstructured commentary into measurable indicators. Platforms such as YouTube host extensive discussions about publicly traded equities, but extracting reliable sentiment trends from high-volume, noisy comment streams remains technically challenging. This project develops a stock sentiment and market intelligence platform that transforms YouTube comment data into aggregated sentiment indicators aligned to specific equities. Comments are mapped to equities using ticker specific keyword identification combined with contextual filtering to reduce false associations from ambiguous or off-topic mentions. The system assigns numerical sentiment scores to individual comments and …
Reday Program 2026, Bryant University
Reday Program 2026, Bryant University
Bryant REDay (Research and Engagement Day)
Program for the 2026 Bryant REDay (Research and Engagement Day). Program includes schedule at a glance, descriptions for panels, workshops, and presentations, along with sign-up links for specific sessions in the electronic version of the program. Printed program was in color with double-sided printing on 8 1/2" x 11" paper stapled together in the upper left corner.