Physical Sciences and Mathematics Commons^™

Building Bridges Of Knowledge, Cuny Innovative Teaching Academy (Cita)

Open Educational Resources

Building Bridge of Knowledge (BBK) is a CUNY-wide faculty fellowship project, aiming to help students use generative artificial intelligence (AI) tools ethically, responsibly, and effectively. Funded by Lumina Foundation in 2024-25, the project was executed by the CUNY Innovative Teaching Academy (CITA) of the Office of Faculty Affairs at CUNY Central Office, with 25 Faculty Fellows in five disciplinary areas (Education, Health, Humanities, Social Sciences, and STEM) chosen from across CUNY’s senior and community colleges. Each disciplinary cohort was led by a CUNY faculty member with expertise in the use of AI. The final materials, described and linked in this …

Understanding Microsoft's Qubit, Alexander Escobedo, Eric Deyo

SACAD: Scholarly Activities

In this presentation, we attempt to understand the device that was recently developed by the Microsoft Azure Quantum group that creates, manipulates, and measures qubits using Majorana Zero Modes (MZM).

Experimental Evaluation Of Friedel’S Salt For Chloride Removal In Road Salt-Impacted Stormwater And Lakes, Marwan Alhinaai

Masters Theses

Road salt (e.g., NaCl) application in cold-temperature regions has increased Cl- concentrations in freshwater. Removing Cl- from water is challenging because it’s highly soluble. This paper is the first to demonstrate and characterize the removal of Cl- from stormwater by Friedel’s salt (Ca4Al2(OH)12Cl2(H2O)4) precipitation (FSP), achieved by adding calcium oxide (CaO) and sodium aluminate (NaAlO2). Laboratory tests were done on Cl- removal with FSP using a range of Ca/Al/Cl ratios in deionized (DI) water and in stormwater samples impacted by road salt. Even the lowest doses resulted in significant removal of Cl- with maximum removal rates for comparable Ca/Al/Cl ratios …

Chalmers Library Research Award Winner 1 2025, Tasnim Islam Orco

Chalmers Library Research Award

No abstract provided.

Ask An Hci Research Ethicist: A Recurring Column On Research Ethics Challenges, Casey Fiesler, Jessica Vitak, Michael Zimmer

Computer Science Faculty Research and Publications

Created in 2016, the SIGCHI Research Ethics Committee advises SIGCHI conferences and communities on ethical issues that arise in the course of conducting research. The committee also provides guidance and feedback on research ethics issues that arise during the peer review process; as a result, we have a broad sense of novel and persisting open questions within our community. Through this recurring column, we will continue this work by raising awareness and increasing discussion of ethics in the context of conducting HCI research.

“Synchronized Parenting Is Like Mixing Oil And Water”: Reimagining Parental Control For Co-Parenting In The Divorced Households, Prakriti Dumaru, Audrey Flood, Mahdi Nasrullah Al-Ameen

Computer Science Student Research

Children from divorced households are granted access to devices (e.g., smartphones, tablets), helping them to maintain meaningful contact with both parents. However, regulating their device usage across two households presents unique co-parenting challenges, which are little studied in the existing literature on parental mediation. As we begin to address this gap, we used low-fidelity prototype designs, guided by the principles of fostering open communication and instilling self-regulation. We evaluated those designs (presented in the form of storyboards) through semi-structured interviews with 23 divorced parents, whose children are active Internet users and aged 13 years or below. Based on our analysis, …

Code Of Faith: Programming Spirituality In The Digital Age, Caleb Martin

Senior Honors Theses

With the increasing pervasiveness of technology in our daily lives, it is critical to consider the potential effects on an individual's religious practices and beliefs from software applications developed within a religious framework. This thesis delves into the relationship between software development and religious experiences, examining the manner in which the creation, operation, and application of religious technology can mold and impact an individual's spiritual development. This thesis aims to inform the implementation of technologies with a nonsecular application, ensuring that they are developed with a deep respect for the nuances of religious experience. The findings of this study will …

Increasing Annual Rainfall As Recorded At Five Weather Stations In The Cedar River Watershed And Adjacent, Eastern Iowa, Lee S. Potter

The Compass: Earth Science Journal of Sigma Gamma Epsilon

Monthly and annual rainfall totals were examined from five weather stations in and near the Cedar River watershed in eastern Iowa. The basin has headwaters in southern Minnesota and trends northwest to southeast across the eastern part of the state. Graphical presentation highlights noisy signals within these, with annual values showing increase of about 4 to 7 inches over the most recent 100 years. This information is presented without reference to correlation with broader climate signals to inform residents and policy makers of the increasing trend. Monthly totals show consistent increase April and June, with lesser increases in May, July, …

Uni Science Education Update Conference, Save The Date Flier, Spring 2025, University Of Northern Iowa. Science Education Program.

Science Education Update Conference Documents

No abstract provided.

Black Mothering And Environmental Justice Activism: A Black Ecofeminist Framework, Kayla N. Miller , '25

Senior Theses, Projects, and Awards

No abstract provided.

Material Point Method Computer Simulations Of The Tharsis Region Mars Forming From An Impact-Driven Antipodal Event: Program Development And Validation, Timothy L. Nikoley, Daniel Hunter, Michael W. Roth

The Compass: Earth Science Journal of Sigma Gamma Epsilon

The planet Mars has features that suggest uprisings could have been created by antipodal events driven by the focusing of seismic waves generated by impact. To investigate the feasibility of such a process resulting in observed features, we have developed a hybrid Newtonian dynamics-Material Point Method (MPM) computer program modeling impact to the surface of Mars, and have carried out extensive computer simulations and data analysis. In this first of two companion papers, we present the theoretical background behind the code development, remarks about program validation and typical visuals.

Streamlining Wildlife Regulation, Robert L. Fischman

Michigan Journal of Environmental & Administrative Law

A recent burst of revisions in the bedrock regulations governing projects that may adversely affect wildlife represents a generational shift in policy. Streamlining federal decision -making drove much of this reform. Streamlining offers a path to address climate change without abandoning a longstanding commitment to wildlife conservation. The conservation community recognizes the need to build new infrastructure to reduce the rate of climate change through air emissions. The most urgent priority is decarbonizing the electrical ~rid through renewable energy generation and a better transmission network. Adaptation to the "new abnormal" of climate-driven environmental disruption demands federal approvals for a host …

Lead Telecommunications Cables: A Call For Concern?, Zachary Young

Michigan Journal of Environmental & Administrative Law

From the late 1800s until the 1950s, telecommunication companies across the United States utilized lead casing to protect their telecommunication lines. As technology developed and different types of plastic coatings were created, telecommunication companies phased out the use of lead cables. However, the lead cables remain in the air and buried in the ground, even continuing to provide telephone service for some. The failure to remove these cables, most of which are not in use anymore, has generated a slew of issues for the modem-day telecommunication companies that have inherited these cables from their predecessors. As the protective casing decays, …

Cogprog: Utilizing Large Language Models To Forecast In-The-Moment Health Assessment, Gina Sprint, Maureen Schmitter-Edgecombe, Raven Weaver, Lisa Wiese, Diane Cook

Computer Science Faculty Scholarship

Forecasting future health status is beneficial for understanding health patterns and providing anticipatory support for cognitive and physical health difficulties. In recent years, generative Large Language Models (LLMs) have shown promise as forecasters. Though not traditionally considered strong candidates for numeric tasks, LLMs demonstrate emerging abilities to address various forecasting problems. They also provide the ability to incorporate unstructured information and explain their reasoning process. In this article, we explore whether LLMs can effectively forecast future self-reported health state. To do this, we utilized in-the-moment assessments of mental sharpness, fatigue, and stress from multiple studies, utilizing daily responses (N = …

Simulation Research On Financial Competitive Intelligence Early Warning Mechanism Of New Ventures Based On Big Data Thinking, Keping Wang, Jingyi Zhou, Yao Che, Zhen Qiao

Journal of Scientific Information Research

[Purpose/significance]Financial competitive intelligence is a core element in promoting the stable development of new ventures. Based on big data thinking, exploring the construction process and simulation effects of financial competitive intelligence warning mechanisms for new ventures is of great significance for improving their competitiveness and promoting healthy development. [Method/process]The article takes startups as the research object, constructs a financial competitive intelligence early warning mechanism for startups based on big data thinking, and uses system dynamics methods to construct causal relationship diagrams and system flow diagrams, and simulates them using Vensim PLE software. [Result/conclusion]The system dynamics model constructed in the article …

Necrorun, Jeremiah R. Mcdonald

SPARK Symposium Presentations

NecroRun is a fast-paced endless runner game set in a post-apocalyptic world overrun by zombies. The player must avoid obstacles, collect points, and survive as long as possible while navigating a decaying wasteland. You accrue points the longer you stay alive.

Assessing Maths Modules Online, Blathnaid Sheridan

Case studies: Digital Education

With class sizes increasing and students anxious to know their CA results asap, I began looking at an alternative way of assessing students on their maths modules. Furthermore, in an attempt to ensure better engagement with the content and continuity across maths modules in Years 1 & 2, students are now assessed using online quizzes with immediate results.

The Use Of Call Graphs And Deep Learning To Improve Software Testing, Ziad A. Al-Sharif, Hemanth G. Chintala, Safwan Omari

Engineering, Computing and Mathematical Sciences Faculty Conferences

Software testing is a critical part of software development, it is essential for preventing failures and enhancing software quality attributes. However, the testing process can be costly and time-consuming, often involving a large number of test cases. Over time, the accumulation of redundant and overlapping test cases can complicate and lengthen the testing time. To address these challenges, this paper utilizes graph similarity and deep learning techniques to optimize test suites. It uses call graphs from test cases to identify redundant and similar test cases. A machine learning model is used to calculate and predict the similarity scores between these …

Enhancing Metacognitive Competencies Through Human-Centered Ai: The Role Of Custom-Trained Intelligent Agents In Workforce Upskilling, James Hutson

Faculty Scholarship

This editorial examines the integration of human-computer intelligent interaction (HCII), specifically through human-centered artificial intelligence (AI) and custom-trained intelligent agents, to foster metacognitive competencies critical for workforce upskilling. With 59% of the workforce projected to require substantial upskilling by 2030, developing personalized AI models tailored to individual cognitive and learning profiles presents an innovative pathway. These custom-trained agents leverage human-computer interaction (HCI) technologies and machine learning methodologies to enhance understanding of one’s own learning processes-metacognition-thus empowering individuals to optimize their future learning and adaptability. This approach not only enhances the individual’s ability to engage effectively with complex tasks in the …

Leaf It To The Ai: Visualizing Foliage With Machine Learning, Chelsy Tinacba, George Sikazwe, Michael Frye

Posters - 2025

This project sets out to create a tool to help aid in the research and monitoring of the threatened prickly cacti [Fig. 1]. due to an invasive species of insect growing to be a threat. This website displays current and predictive locations of foliage within a region.

To get the data of the predictive location, an additional program was developed that uses a machine learning model to provide coordinates of potential areas where more plants may be. The computer program provides a visualization of potential patterns for the foliage in the database. The machine learning model combs through the data …

Water Current, Volume 57, No. 1, Spring 2025

Water Current Newsletter

No abstract provided.

Perspectives On Gaming Throughout The Years, Noh Fekre

ART 108: Introduction to Games Studies

Video games are a lot younger of an art form compared to other mediums like books or movies which means how they fit into our culture isn’t really set in stone yet. They have existed for a while but got their first big boom through arcades and home consoles. I want to look at how video games present themselves differently to other mediums and how that might have affected their perception amongst the general populace while also looking at how that perception has changed over time due to how games have changed themselves.

When The Audience Takes The Controller: How Streaming Is Changing The Way We Play Games, Lea Wilhelmer

ART 108: Introduction to Games Studies

For decades, video games have been understood as solitary experiences. A player would sit alone or with a small group, controller in hand, navigating digital worlds where every action, decision, and outcome was shaped by their own input. At its core, gaming was personal. The lines between the audience and player were clearly drawn. The player was the one actively involved in the game, while everyone else was an observer, watching from the sidelines. This traditional model has seen significant transformation in the last decade, as the rise of streaming platforms like Twitch, YouTube Gaming, and other similar services radically …

Redefining Fun: How Realism And Effort Engage Players In Video Games, Marsel Abdullin

ART 108: Introduction to Games Studies

In the current era of video game development, the gaming industry frequently pursues instant gratification, creating a landscape for immediate and empowering rewards. Current trends clearly show that experiences allow players to become superhuman or extraordinary beings with very little difficulty, satisfying a common desire for escapism and power. This suggests that “fun” is commonly associated with ease, speed, and constant positive feedback. However, my counter-argument is the emergence of games such as Kingdom Come: Deliverance and Red Dead Redemption 2. These games operate with a different game design and philosophy. In fact, they embrace slowness, hardship, and the detailed …

The Evolution Of Video Game Collectibles And Marketplaces, Leland Lee

ART 108: Introduction to Games Studies

Digital Collectibles such as weapon skins, avatar skins, emotes, and in-game art were created as a playful surprise for the video game experience. Many years later, it has produced a multibillion-dollar economy in the gaming industry and is also responsible for the high demand for intriguing in-game collectibles. Although these cosmetic features were initially meant for looks, they have evolved into something of actual value that has completely changed the landscape of games and how they are played. As a result, this has created an intricate environment where players are able to buy, trade, and sell in-game collectibles in both …

Nothing Is Off Limits, But Not Everything Is Done Right: Exploring Ineffability, Alejandro Maciel

ART 108: Introduction to Games Studies

Games are capable of addressing absolutely anything. No topic is too big, too controversial, or too emotional. but not everything is done well; the problem isn't the subject, it's always the delivery. When the developers approach heavy topics without care, they risk doing harm. bwhen they do their research and consult communities and write with purpose, the result can be transformative. Representation, when handled with attention, isn't political correctness; it's simply good storytelling. it's how games become more than entertainment. They become tools for empathy, education, and more valuable connections

Sita: Structurally Imperceptible And Transferable Adversarial Attacks For Stylized Image Generation, Jingdan Kang, Haoxin Yang, Yan Cai, Huaidong Zhang, Xuemiao Xu, Yong Du, Shengfeng He

Research Collection School Of Computing and Information Systems

Image generation technology has brought significant advancements across various fields but has also raised concerns about data misuse and potential rights infringements, particularly with respect to creating visual artworks. Current methods aimed at safeguarding artworks often employ adversarial attacks. However, these methods face challenges such as poor transferability, high computational costs, and the introduction of noticeable noise, which compromises the aesthetic quality of the original artwork. To address these limitations, we propose a Structurally Imperceptible and Transferable Adversarial (SITA) attacks. SITA leverages a CLIP-based destylization loss, which decouples and disrupts the robust style representation of the image. This disruption hinders …

Comadice: Offline Cooperative Multi-Agent Reinforcement Learning With Stationary Distribution Shift Regularization, The Viet Bui, Tien Mai, Hong Thanh Nguyen

Research Collection School Of Computing and Information Systems

Offline reinforcement learning (RL) has garnered significant attention for its ability to learn effective policies from pre-collected datasets without the need for further environmental interactions. While promising results have been demonstrated in single-agent settings, offline multi-agent reinforcement learning (MARL) presents additional challenges due to the large joint state-action space and the complexity of multi-agent behaviors. A key issue in offline RL is the distributional shift, which arises when the target policy being optimized deviates from the behavior policy that generated the data. This problem is exacerbated in MARL due to the interdependence between agents' local policies and the expansive joint …

Prioritizing Speech Test Cases, Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, Donggyun Han, David Lo

Research Collection School Of Computing and Information Systems

As Automated Speech Recognition (ASR) systems gain widespread acceptance, there is a pressing need to rigorously test and enhance their performance. Nonetheless, the process of collecting and executing speech test cases is typically both costly and time-consuming. This presents a compelling case for the strategic prioritization of speech test cases, which consist of a piece of audio and the corresponding reference text. The central question we address is: In what sequence should speech test cases be collected and executed to identify the maximum number of errors at the earliest stage? In this study, we introduce PRiOritizing sPeecH tEsT …

Tritium As A Model Tracer For Predicting Per- And Polyfluoroalkyl Exposure And Potential Ecosystem And Human Health Impacts, Erika Craig

Theses and Dissertations

For this thesis, historical tritium and per-and polyfluoroalkyl substances (PFAS) concentrations measured in surface waters of South Carolina at or near the Savannah River Site (SRS) were compared. Statistical linear regression analysis was used to assess the ability of tritium as a model tracer for predicting PFAS concentrations, specifically perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) distributions. Nine years of tritium monitoring data, (2014 – 2022), were analyzed and used in linear regressions to assess their association with PFAS levels of PFOA and PFOS measured during 2023, in and around the SRS and the adjoining Savannah River. Initially, a normality …