Digital Commons Network^™

Utilizing Text Messaging To Increase Annual Mammogram Screening Compliance, Lacey B. Santa Cruz

Doctor of Nursing Practice Projects

Background: Routine mammography can lessen breast cancer deaths, but many patients do not follow the current screening guidelines. Limited access to mammography and insufficient awareness lead to missed screening appointments.

Purpose: The purpose of this Doctor of Nursing Practice (DNP) project was to improve annual mammogram adherence among women aged 40-74 by implementing an electronic medical record (EMR)-based text reminder system.

Project Design: Secondary patient data was collected from a privately owned, rural family practice clinic. Using the Mobilize-Assess-Plan-Implement-Track (MAP-IT) quality improvement framework, the project implemented a text message reminder intervention through the EMR. Eligible patients received a text reminder …

Predicting Emotions Across Schizotypy Levels, Elyssa M. Barrick, Sarah Hope Lincoln

Student Scholarship

Successfully navigating the social world requires making accurate predictions about others. Individual differences in emotion prediction–the ability to predict someone's subsequent emotion given their current emotional state–can lead to variability in social success. In this study (N = 1024) we found evidence that individuals with heightened schizotypy displayed worse emotion prediction accuracy. This difficulty with emotion prediction was associated with increased loneliness, diminished social support, and smaller social networks, partially mediating some of the social difficulties in individuals with heightened schizotypy. Individuals with heightened schizotypy showed disruptions to key sources of affective information, meaning they had less reliable information about …

Beyond Chatbots: The Emergence Of Autonomous Ai Agents In Libraries, Nikesh Narayanan

All Works

This chapter explores how generative AI and agentic AI are redefining library services through enhanced interactivity, personalization, and scalability of support. The rise of machine learning, and specifically natural language processing (NLP) with large language models, brought a new wave of capabilities to library chatbots. Moving beyond single-turn question-answering chatbots, the concept of autonomous AI agents (or agentic AI) in libraries represents a significant leap in capability. An autonomous agent is an advanced form of AI that can understand and respond to inquiries, then take action without human intervention. When they are given an objective, they can generate tasks for …

Bridging Knowledge Gaps In Digital Forensics Using Unsupervised Explainable Ai, Zainab Khalid, Farkhund Iqbal, Mohd Saqib

All Works

Artificial Intelligence (AI) has found multi-faceted applications in critical sectors including Digital Forensics (DF) which also require eXplainability (XAI) as a non-negotiable for its applicability, such as admissibility of expert evidence in the court of law. The state-of-the-art XAI workflows focus more on utilizing XAI tools for supervised learning. This is in contrast to the fact that unsupervised learning may be practically more relevant in DF and other sectors that largely produce complex and unlabeled data continuously, in considerable volumes. This research study explores the challenges and utility of unsupervised learning-based XAI for DF's complex datasets. A memory forensics-based case …

Love Potions And Love Letters: An Argument That Libertarian Free Will Isn't Necessary For Loving God, Netanel Ron

Faith and Philosophy: Journal of the Society of Christian Philosophers

No abstract provided.

Dying In The Light Of Eternity, Daniel Rubio

Faith and Philosophy: Journal of the Society of Christian Philosophers

No abstract provided.

Examining Equitable Participation With K-12 Teacher Leaders, Eva Thanheiser, Kathryn Elizabeth Roman, Ruth Heaton

Mathematics and Statistics Faculty Publications and Presentations

Many organizations and researchers in mathematics education call for antibias practices, but addressing hidden biases remains challenging. Equity QUantified In Participation (EQUIP), a quantitative tool designed to analyze classroom participation patterns by social markers, helps teachers identify these subtle inequities. This paper describes a professional development (PD) intervention introducing EQUIP to five teacher leaders (TLs) and three coaches in a predominantly Latine district, focusing on setting up EQUIP to identify and address participation inequities in their classrooms. The TLs implemented EQUIP in their classroom and gathered participation data twice. Findings revealed that TLs took up EQUIP in different ways and …

Network Segmentation Security With The Implementation Of Threats, Ryan Bredesen, Stephen Mujeye

Faculty Publications – Technology

Network segmentation is an important cybersecurity strategy that aims to reduce an attacker's ability to move laterally and increase security within a network. This study evaluated the effectiveness of network segmentation by simulating attacks on two networks using Infection Monkey. The objective of this study was to examine the impact of network segmentation on the detection and spread of threats across several virtual machines. Two network environments were created, the first unsegmented network (Network A) and a segmented network (Network B). Multiple simulated attacks were conducted on both networks. The attacks confirmed that the segmented network achieved better protection because …

Addressing Iot Vulnerabilities In Smart Homes, Erik Peterson, Stephen Mujeye

Faculty Publications – Technology

The integration of Internet of Things (IoT) devices in smart homes has surged in recent years, accompanied by significant security vulnerabilities. The proliferation of IoT devices in smart homes has significantly enhanced convenience but also introduced substantial cybersecurity risks. This study investigated the susceptibility of Internet of Things (IoT) devices in students' homes to cyberattacks, emphasizing the need for heightened consumer awareness regarding security vulnerabilities. A systematic literature review was conducted to identify common attack methods and trends in IoT cybersecurity, informing the development of a comprehensive survey administered to 34 student respondents. The results indicate a notable awareness of …

A Critical Analysis Of Sme Cybersecurity Policies And Practices, Alex Clark, Stephen Mujeye

Faculty Publications – Technology

This study examines the cybersecurity policies, practices, and preparedness of small and medium-sized enterprises (SMEs) in Central Illinois, focusing on how they align with established standards. Through a detailed literature review and a survey, the research identifies common cyber threats faced by SMEs and evaluates their current cybersecurity measures. Key findings reveal that many SMEs, despite being vulnerable due to their integration of Industry 4.0 technologies, lack comprehensive incident detection and response systems. The study underscores the necessity for improved cybersecurity awareness among all levels of SME staff, including CEOs, managers, and employees. Recommendations are proposed to enhance collective cybersecurity …

The Untapped Power Of Citizen Science: A Survey Of Utah Residents, Wesley Crump, Elizabeth Cohen, Shital Poudyal

Outcomes and Impact Quarterly

Citizen Science is an approach to involve the public in the scientific process to address locally relevant needs. A survey was conducted to explore Utahns’ relationship with citizen science. Results show a gap between respondents’ past participation and willingness to participate in citizen science, indicating an opportunity for USU Extension to strengthen its relationship with the public through citizen science.

Translating The Hba1c Lab Test Name And Results From English To Arabic For Enhanced Patient Access And Workflow Efficiency, Aiman M. Alrawabdeh

Translational Projects (Open Access)

In Jordan, where the healthcare system primarily operates in English, Arabic-speaking patients encounter significant challenges in understanding laboratory test names and results, including Hemoglobin A1c (HbA1c), an essential diagnostic indicator for diabetes management. The lack of multilingual access to medical information limits health literacy and patient autonomy, increasing dependence on healthcare staff for translation assistance. This translational informatics project addressed these challenges by developing and implementing an Arabic translation process for the HbA1c lab test name and results. HbA1c was selected as it is a standard lab test among patients with diabetes in Jordan; nearly 30% of Jordanians had type …

Artificial Intelligence In Healthcare And Science, Sally Brown, Catherine Gouge, Anurag Srivastava

Artificial Intelligence Exhibit

This section explores AI's impact on science and healthcare, including medical diagnostics and treatments, and scientific research.

Developing A Curriculum Audit Tool For Justice, Equity, Diversity, And Inclusion In Occupational Therapy Education, Whitney M. Cranna, Sarah Mckinnon

Translational Science in Occupation

Background: The OT profession is calling for intentional pedagogy that builds future practitioners’ capacity for embodying justice, diversity, equity, and inclusion (JEDI) values; however, the interpretation and application of this mission remain subjective and nebulous. Developing a theory-driven audit tool may help standardize and clarify JEDI pedagogy needs to enhance OT preparation and practice.

Objective: Using a culturally responsive, justice-based theoretical lens, this paper describes the development of a JEDI Curriculum Audit Tool for a Post-Professional Doctor of Occupational Therapy (PP-OTD) program.

Design: Quantitative systematic evaluation of curricular alignment with JEDI principles, including a 3-prong retroactive self-evaluation approach.

Setting: Curriculum …

Visualizing Seascapes As A Method For Engaging Stakeholders In Discussions About Resilience, Dominica Williamson, Louisa Evans, Mark Bryant, Caroline Hattam, Tara Hooper, Andy Hughes, Timur Jack-Kadioglu, Fazlun Khalid, John Martin, Celine Miternique, Karyn Morrissey, Lorna Slade, Ali Thani, Kathy Young

Professional Services

Coastal communities have complex bodies of knowledge around environmental change, resilience, and sustainability, which extractive forms of research are not well suited to understand. This paper outlines an arts-based action research pilot project to understand social-ecological resilience in the Western Indian Ocean. Our project used visual, artistic, and participatory approaches to foster co-learning and action research on: (1) the arts-based methods themselves and (2) resilience building in coastal communities and ecosystems. This paper focuses on the former elements. We present our inherently phenomenological approach as a research assemblage that can be used to bring together different communities and stakeholders, disciplines, …

To Pause With A Cliffhanger Or A Temporary Closure? The Differential Impact Of Serial Versus Episodic Narratives On Children's Physical Activity Behaviors, Amy Shirong Lu, Melanie C Green, Caio Victor Sousa, Jungyun Hwang, I-Min Lee, Debbe Thompson, Tom Baranowski

Children’s Nutrition Research Center Staff Publications

Research has supported the effectiveness of narratives for promoting health behavior, but different narrative presentation formats (serial vs. episodic) have seldom been compared. Suspense theories suggest that serial narratives, which do not provide a full resolution at the end of an episode, may create higher motivation for continued engagement with a story. Forty-four 8 to 12-year-old children were randomly assigned to watch an animation series designed for an existing active video game in which the plot was delivered either continuously across multiple episodes (serial) or in multiple yet relatively independent self-contained episodes (episodic). Controlling for social desirability, children who watched …

A Brief Guide To Statistical Analysis Of Grouped Data In Preclinical Research, Colby J Vorland, Lilian Golzarri-Arroyo, David B Allison

Children’s Nutrition Research Center Staff Publications

Clustering and nesting (C&N) arise in many preclinical studies such as when animals are group-housed, share litters, or in cell culture. Ignoring C&N undermines the validity of analyses. We explain how C&N arise and valid designs and analyses.

Harnessing Zakat To Drive Inclusive Economic Growth: Prospects And Challenges, Moh Najikhul Fajri, Andini Kusumawardhani

Journal of Middle East and Islamic Studies

This study aims to analyze the role of zakat in promoting local inclusive economic growth in Indonesia. This research uses secondary panel data of 34 provinces during 2017-2022. The analysis techniques used in this study include the Poverty Equivalent Growth Rate (PEGR) inclusive economic growth measurement method and the Static Panel Regression Fixed Effect Model. This study concludes that zakat is proven to be an effective instrument in promoting inclusive economic growth in Indonesia, with a significant impact on income distribution even though its potential is still not optimized. Unique findings reveal that inclusive growth recovered faster than GDP post-pandemic, …

“Small” Voices, Big Wins: Analyzing Remedies In Children’S Climate Cases, Maria Antonia Tigre

Washington and Lee Law Review

Children’s climate litigation has emerged as a powerful tool to address the climate crisis, with young plaintiffs around the world taking governments and corporations to court to demand climate action. This Article examines successful cases—those in which relief sought by the applicants was fully or partially granted—across five continents, providing an “around the world” perspective on the evolution and impact of youth-led climate litigation. Focusing on landmark cases in Australia, Colombia, South Africa, South Korea, and the United States, this analysis highlights the arguments presented by young plaintiffs and the judicial reasoning that supported the relief granted. Through a comparative …

Learn, Sleep, Remember, Repeat, Charlie Martinez, Christian Fink

Physics Student Scholarship

My research focused on using computational methods to study the effect of sleep on memory. There are many simplifications that we used to break down this hefty question, but two are essential to understand: (1) we modeled a simple network (connection diagram included in poster) that comprised of only about 800 neurons (for reference the human brain contains about 80 billion neurons) and represented the connection between two brain regions the thalamus and the cortex, and (2) we modeled memory as a simple learning rule that strengthened connections between neurons that fired in sequence and weakened connections that pointed in …

Finding Aid For The Nadine Cohodas Collection (Mum00831)

Archives & Special Collections: Finding Aids (alphabetical)

Collection contains interviews transcripts, handwritten and typed notes, photocopied articles, and newspapers researched by Nadine Cohodas from 1995/1996 on African American students on the University of Mississippi from 1950-1985.

Measuring How Much Judges Matter For Case Outcomes, Ryan W. Copus, Ryan Hübert

Faculty Works

A large empirical literature examines how judges’ traits affect how cases get resolved. This literature has led many to conclude that judges matter for case outcomes. But how much do they matter? Existing empirical findings understate the true extent of judicial influence over case outcomes since standard estimation techniques hide some disagreement among judges. We devise a machine learning method to reveal additional sources of disagreement. Applying this method to the Ninth Circuit, we estimate that at least 38% of cases could be decided differently based solely on the panel they were assigned to.

Biocomposites For Sustainable Construction: A Review Of Material Properties, Applications, Research Gaps, And Contribution To Circular Economy, Waqas Ahmad, Sarah J. Mccormack, Aimee Byrne

Research Outputs: 2025-Present

To promote circular economy practices in the construction sector, researchers are investigating potential alternatives to traditional building materials. Biocomposites might be an eco-friendly substitute for synthetic composites, which has increased demand across numerous applications. This study reviews and synthesises current knowledge in the field of biocomposites for building applications and identifies existing research gaps. The literature highlights several forms of biocomposites employed in the construction industry, which can be broadly categorised as polymer, mineral/cement, and alkali-activated or geopolymer biocomposites incorporating biofibres or fillers. The constituents, production methods, and mechanical and functional properties of these materials are examined. Potential applications of …

Teaching Learning Newsletter Vol 5 Issue 1, Sastra Deemed To Be University

TLC Newsletter

No abstract provided.

Compensation Committee Minutes, Clemson University Board Of Trustees, 2025 July 17, Clemson University Board Of Trustees

Minutes

No abstract provided.

July 2025 News Releases, University Of Montana--Missoula. Office Of University Relations

University of Montana News Releases, 1928, 1956-present

No abstract provided.

Clemson University Board Of Trustees Retreat Minutes, 2025 July 18, Clemson University Board Of Trustees

Minutes

No abstract provided.

Finance And Facilities Committee Minutes, Clemson University Board Of Trustees, 2025 July 17, Clemson University Board Of Trustees

Minutes

No abstract provided.

Executive And Audit Committee Minutes, Clemson Board Of Trustees, 2025 July 17, Clemson University Board Of Trustees

Minutes

No abstract provided.

Growth Mindset And Generative Ai, J. Elizabeth Clark, Casandra Silva Sibilin

Open Educational Resources

This module expands the CUNY Learning Mindsets framework—originally developed with the University of Virginia’s Motivate Lab to support student motivation through growth, purpose and relevance, and sense of belonging (GPS)—by introducing a fourth module focused on generative artificial intelligence (Gen AI). Designed in spring 2025 by CUNY Learning Mindset Ambassadors Casandra Silva Sibilin and J. Elizabeth Clark, the module integrates growth mindset principles with emerging research on Gen AI to help educators and students engage with these tools as opportunities for learning and development rather than shortcuts or sources of academic misconduct.

The module provides an introduction to …