Digital Commons Network^™

Advancing Quality In Online Nursing Education: A Global Perspective, Kaneez R. Odgers, Shantha Franks

International Nursing Research Congress (INRC)

The global shift toward online and hybrid nursing education has transformed how nurses learn, offering flexible pathways for students across diverse geographic and socioeconomic contexts. As nations continue to face nursing shortages, digital and distance education models have expanded access, yet ensuring high-quality, competency-based preparation in virtual environments remains a major challenge. Concerns include the adequacy of virtual learning for developing clinical reasoning, variability in clinical training standards across countries, and disparities in technological access that directly affect learning outcomes. These issues reflect findings in current literature, showing the need for evidence-based strategies to ensure that digitally educated nurses are …

Harnessing Expert Insights To Strengthen Hiv Care Through Innovative Programme Development, Mebelo Medupe, Deliwe Rene Phetlhu

International Nursing Research Congress (INRC)

Purpose: The aim of this study was to develop and validate an education programme designed to improve the quality of life (QoL) of people living with HIV (PLHIV) on antiretroviral therapy (ART) in the Johannesburg Metropole. The Delphi technique was employed to gather expert consensus on the content, scope, and relevance of the program to ensure its appropriateness and effectiveness.

Methods: A three-round Delphi process was conducted with ten purposively selected experts, including HIV/AIDS specialists, practitioners, nurses, and PhD students with relevant experience. Round one involved the development of an initial questionnaire based on literature review and previous research, which …

Usa-Kenyan Primary Care Teams Offer Phq-9 And Gad-7 Screening For Hiv+ Women In Kenya, Janet Meda, Laura L. Van Auker, Stephen J. Cavanagh, Miriam Carole Atieno Wagoro, Mariana Omenda

International Nursing Research Congress (INRC)

Background: As HIV treatment advances in sub-Saharan Africa, care for women living with HIV (WLWH) shifted from acute AIDS management to chronic disease care, with need to integrate mental health and HIV services. In low-resource settings comorbidities and antiretroviral (ARV) side effects can heighten anxiety and depression. Anemia, diabetes, hypertension, malaria, and ARV-related fatigue, pain, and neuropathy complicate diagnosis and treatment. Mental health screening in primary care improves identification and supports better outcomes. Rural and urban WLWH face different barriers and resources, emphasizing context-specific approaches. Expanding nursing education and advanced nursing roles may help reduce gaps in integrated care.

Objectives: …

Individual Factors Associated With Self-Management In People With Coronary Heart Disease In Colombia, Jennifer Rojas Reyes, Edith Arredondo Holguín, Maria Paulina Florez Gonzalez

International Nursing Research Congress (INRC)

Introduction: The rise in mortality from ischemic heart diseases such as acute myocardial infarction in Colombia—14,964 deaths by 2024 (1)—shows the need to identify factors that support self-management, an issue scarcely studied in Latin America, where most research focuses on cardiovascular risk (2–4) or other chronic diseases (4,5).

Objective: To examine correlations between individual factors and self-management in people with acute myocardial infarction in a quaternary hospital in Medellín, Colombia.

Method: A cross-sectional study with 177 participants with confirmed AMI who were close to hospital discharge. After ethical approval and informed consent, the adapted “Partners in Health Scale” (6) and …

Analyzing Proposed Federal Policy For Nurse-To-Patient Staffing Ratios: Insights From State Data, Brayton Amidon

International Nursing Research Congress (INRC)

Background: Approaches to nurse staffing in the United States is a highly debated topic. Nurses, policymakers, and hospital administrators are interested in improving patient outcomes and many researchers have looked to safe staffing as a way to improve these outcomes (Costa & Yakusheva, 2016). Mandated nurse-to-patient staffing ratios have been implemented at the state level and have been proposed at the federal level (Bartmess et al., 2021). Many state hospital associations oppose mandated staffing ratios as they claim these ratios could exacerbate the nursing shortage, deny nurses the flexibility to determine staffing needs, limit access to healthcare, and increase hospital …

Decisions Under Fire: Healthcare Students Reactions To An Active Shooter Simulation, Linda S. James, Sarah Hirsch

International Nursing Research Congress (INRC)

The Joint Commission (2021) recommended that hospitals train their employees on how to act and respond during an AS event. Students are required to complete agency trainings (i.e. fire, HAZMAT etc.) prior to attending practicum but are not required to complete AS response, sending them into clinical settings ill prepared.

The purpose of this study was to examine healthcare professional students’ moral and ethical challenges experienced from an interprofessional active shooter (AS) simulation. This simulation also explored ethical decision-making and provided students an opportunity to practice critical thinking in high-stress situation and had a secondary impact on their development of …

Metal Oxide Semiconductor Gas Sensors For Exhaled Breath Cancer Biomarker Detection, Guanglan Chen, Huihui Luo, Wenwen Peng, Shiyu Xu, Yuting Li, Huijie Ke, Sihui Zhong, Jiaao Wei, Tong Chen, Xiaokun Li, Youlin Zhang, Wei Chen

Online First

Early cancer screening can significantly improve therapeutic outcomes, volatile organic compounds (VOCs) and other related gases in exhaled breath, as cancer-specific biomarkers, offer a novel approach for non-invasive diagnosis. Metal oxide semiconductor (MOS)-based gas sensors are pivotal for exhaled breath VOCs detection, featuring compact size, cost-effectiveness, and rapid response. This review summarizes the most recent five-year research advances in cancer biomarker detection and clarifies the core mechanisms of electrical property changes from sensing material-VOCs interactions and key performance metrics including sensitivity, selectivity, humidity tolerance, response/recovery time, stability, and operating temperature. This review highlights the optimization strategies of sensing materials such …

The Ecological Impacts Of Un-Protecting Forests: The Case Of Gold Mining In Ghana, Tate Alexander Barend

Master's Theses

This paper estimates the causal effect of Ghana’s Legislative Instrument 2462 (L.I. 2462) on deforestation in protected areas. The policy redefined the regulatory regime governing small-scale gold mining in protected areas, moving from prohibition to discretionary permitting. I exploit the implementation of L.I. 2462 as a policy shock and apply a difference-in-differences event-study framework to a propensity score–matched sample of pixels derived from high-resolution satellite images. Contrary to widespread concerns that the policy would accelerate deforestation, the results provide no evidence of large-scale vegetation loss in exposed protected areas following the policy change. Instead, protected area pixels located within 5 …

Interpretable Multimodal Learning For Integrating Neuroimaging And Genetic Data In Alzheimer’S Disease, Kun Zhao, Siyuan Dai, Yingying Zhang, Guodong Liu, Pengfei Gu, Chenghua Lin, Paul M. Thompson, Alex D. Leow, Heng Huang, Haoteng Tang

Computer Science Faculty Publications

Introduction: Early detection of Alzheimer's disease (AD) requires models that combine brain structure changes with genetic risk, but existing methods struggle to align these different data types.

Methods: We present R-GenIMA, an interpretable multimodal large language model that pairs a region-of-interest vision transformer with genetic prompting to jointly analyze structural MRI and single nucleotide polymorphisms (SNPs). Each brain region becomes a visual token and SNP profiles are encoded as structured text, letting the model link regional atrophy to genetic factors through cross-modal attention. Tested on the ADNI cohort, R-GenIMA performs well in classifying four groups: normal cognition, subjective memory concerns, …

In-Transit Debris Remediation: Dual-Use Logistics For Sustainable Cislunar Smallsat Constellations, Wanjiku Chebet Kanjumba

Small Satellite Conference

A Debris Crisis Meets A Logistics Boom: Low- and high-Earth orbit keep accumulating debris faster than the atmosphere can clear it, even as NASA's Artemis and CLPS programs establish routine trans-lunar traffic. The 2009 Iridium-Cosmos collision and later anti-satellite tests proved that single fragmentation events can irreversibly degrade critical orbital shells, raising the specter of Kessler Syndrome. 

• 46,600+ objects tracked on orbit today, with ~130 million sub-cm fragments (ESA, 2025)
• $500K-$2M cost per kilogram for dedicated ADR, fiscally intractable at system scale
• 5-10 / yr large objects must be removed to stabilize LEO (Liou & Johnson)

The Unit-Economics Problem: Purpose-built …

Autonomous Microelectronics See Payload For Validating Terrestrial Predictions In Space, Michael A. Blacconiere, Isaac Hudson, John W. Burgoon, Terrance Sacks, Spencer Westfall, Sajal Islam, Davidson Juhke, George Randel, Jared Harvey, Merek Chertkow, Daniel Loveless

Small Satellite Conference

The radiation environment in space is complex and time-varying, causing major risks for microelectronic applications. Terrestrial radiation sources are used to characterize devices before missions to predict in-orbit error rates. However, these predictions are rarely validated in deployment. The payload, designed by IU CREATE and The Radiation Team, the IUB-SAT-1, integrates IU’s RadFX-IC and commercial SRAMs with well-characterized terrestrial radiation responses into a modular payload to collect on-orbit radiation-response data. Results will refine radiation error-rate models and improves confidence in deploying advanced microelectronics to radiation-rich space environments.

A Comparative Analysis Of Radio Frequency And Optical Inter-Satellite Link Communications For Leo Mega-Constellations, Alexa Houck, Suryansh Aryan, Kevin Schroeder, Samantha Kenyon

Small Satellite Conference

SpaceNet design  

Software-based testbed for simulating large satellite networks, specifically LEO-based constellations to analyze network behavior, connectivity, routing, and overall communication.  

• Phase one focuses on connectivity and routing: Given the topology and link availability over time, how does my network behave? 
• Phase two focuses on network emulation: Given the topology and link availability over time, how does my network behave? 

Austronauts 3u Cubesat Space Weather Payloads Proposal, Tiana Pendray

Small Satellite Conference

CubeSats are becoming increasingly prominent due to their accessibility, affordability and versatility. An emerging field of satellite application is the monitoring of ionospheric space weather, made possible by sensitive instruments that collect data on plasma potential, temperature and ion density. These parameters vary due to changing solar activity in the form of Coronal Mass Ejections (CMEs) and solar flares, which can have severe impacts on satellite navigation systems, radio communication networks and orbital estimations. The AUStronauts team at the University of New South Wales is developing a 3U CubeSat with two space weather payloads – an Electrodynamic Tether (EDT) and …

Multi-Phase Guidance And Control For Small Satellite Docking Via Deep Reinforcement Learning, Tanner Gill, Greg Furlich, Nisar Ahmed

Small Satellite Conference

As interest in small satellite Rendezvous, Proximity Operations, and Docking (RPOD) grows, so does the need for high-level autonomy in space systems. Current systems relying on constrained hardware and ground-in-the-loop decision-making are ill-equipped for the evolving, contested space domain. Recent research on autonomous spacecraft guidance and control has moved beyond established optimal control and trajectory optimization methods to incorporate Reinforcement Learning (RL), though these efforts have predominantly focused on a single operational phase. This research advances small satellite docking autonomy by formulating the reference scenario as a Hierarchical Markov Decision Process (H-MDP), expanding the scope of the learned guidance and …

Numerical Characterization Of Phase Coherence In Distributed Smallsat Sar Interferometry, Cameron Kaminski

Small Satellite Conference

Distributed SmallSat SAR requires independent spacecraft to maintain phase coherence over long integration times. This work presents a Monte Carlo simulation that combines manufacturer-derived oscillator phase noise, spacecraft thermal dynamics, and orbital perturbations to evaluate passive coherence limits. The results show that oscillator quality alone is insufficient; differential thermal-state evolution becomes a dominant driver of long-duration coherence performance.

Promoting Assured Formation Flight Autonomy Onboard Resource Constrained Systems, Ryan Johnson, Maggie Michelsen, Jackson Gardner, Mario Harper, Charles Swenson, Jackson Kulik, Shawn Jones

Small Satellite Conference

Autonomously determining fuel-optimal, formation-keeping trajectories for small spacecraft operating in formation flight is often limited by available processing power. Because SmallSat missions are constrained by size, weight, and power (SWaP), field-programmable gate arrays (FPGAs) are an attractive option for onboard computing. Traditional formation-keeping relies on convex optimization to solve for fuel-optimal burns and burn times; however, implementing these solvers on FPGAs is challenging due to limited board resources.

To address the need for fast, reliable trajectory planning onboard space vehicles, we investigate leveraging machine learning to reduce computational cost for real-time, onboard execution. We propose using a deep neural network …

Onboard Ai At The Orbital Edge: A Mission Debrief From Stp-H7-Caspr, Evan W. Gretok, Linus Silbernagel, Diego Wildenstein, Michael J. Cannizzaro, Seth Roffe, Alan D. George

Small Satellite Conference

Goals: Enable autonomous Earth observation and onboard sensor data processing with novel compute

Motivations: Growing numbers of spacecraft demand autonomy in operation and data collection

Challenges: Harsh radiation and thermal environment of space over four-year mission lifetime

Squidsat: A Modular, Open-Source 3u Cubesat Bus For Low-Cost Cubesat Missions, Aaron Bournias, Joseph Dukowitz, Mark Jaber, Tyler Field, Micah Nguyen, Koowum Joshi, Noah Campos, Daphne Riordan, Ryan La Ra, Jonathan Luse, Joshua Sink, Tyler Nielsen, Ricardo Ontivaros, Michael Goryll, Joe Dubois

Small Satellite Conference

CubeSat launches continue to increase yearly, yet over 51% of missions from 2002–2016 failed. Primary faults were often due to power, mechanical, or design issues. Costs still remain high in a market driven by expensive flight-heritage hardware with proprietary designs. In order to counteract such costly practice, Sun Devil Satellite Lab (SDSL) at ASU has developed an open-source, modular 3U CubeSat bus built for low cost reliability. Unlike other bus architectures, SquidSat distributes control across independent microcontrollers linked via a CAN bus. CAN is commanded by the OBC but is capable of independent operation for fault isolation and easier testing. …

Mobile Health (Mhealth) Interventions To Promote Exclusive Breastfeeding In Low-Income Communities: A Scoping Review, Winarsih Winarsih, Dayat Subekti, Herdini Widyaningpertiwi, Tri Sunarsih, Endah Puji Astuti, Elvika Fit Ari Shanti

Journal of Health Research

Background: Exclusive breastfeeding (EBF) is a critical determinant of infant health and survival, yet its prevalence remains suboptimal in low-income communities globally. Barriers such as limited access to lactation support and misinformation continue to challenge EBF promotion efforts in these settings. This review maps and evaluates mHealth interventions that promote exclusive breastfeeding in low-income populations.

Methods: This scoping review was conducted following the JBI methodology and reported in accordance with the PRISMA-ScR guidelines. A systematic search of PubMed, Scopus, and Web of Science was conducted for articles published up to July 2025. Eligible studies involved any mHealth-based breastfeeding intervention …

Journal Of Communication Pedagogy, Complete Volume, 2026

Journal of Communication Pedagogy

No abstract provided.

Artificial Intelligence (Ai) As A Communication Pedagogy Mega-Risk, Deanna Sellnow

Journal of Communication Pedagogy

With the ever-expanding capabilities offered by artificial intelligence (AI), communication teachers, scholars, and practitioners are currently in the midst of heated debates about whether and how to use AI both in our classrooms and in our research. This essay contextualizes the debate by describing generative AI as a technological mega-risk that, if left unchecked, may manifest into a mega-crisis impacting people and planet in extraordinarily harmful ways. Consequently, I argue that it is our responsibility as instructional communication scholars, communication education teachers, and communication pedagogy experts to discover strategies for harnessing its power to manage the potential threats posed by …

The Mundanity Of Ai, David Westerman, Nicholas Bowman

Journal of Communication Pedagogy

The emergence of ChatGPT in late 2022 brought with it a reemergence of utopian and dystopian claims of the grand power of AI. Yet, AI has failed to achieve such lofty expectations and instead has trended toward far more banal, yet productive, tasks and goals. We argue that this mundanity is precisely what makes AI an important technology, and moreover, those “mundane tasks” are central to communication education. Specifically, we advocate for a decreased focus on the hyped ideas of AI that dominate popular discourse and obfuscate more reasoned analyses of AI as communication technology. A more pragmatic focus should …

Ai Didn’T Break Our Teaching, It Revealed Our Teaching, Michael G. Strawser

Journal of Communication Pedagogy

The rapid emergence of generative artificial intelligence (AI) has prompted widespread concern about academic integrity, student learning, and the future of higher education. While AI is often framed as a disruptive force, this commentary argues that many of the challenges attributed to AI predate the technology itself. Rather than creating new problems, AI has exposed long-standing tensions embedded within higher education and communication pedagogy. Three tensions that have become increasingly visible in the presence of AI are identified: learning versus completion, efficiency versus depth, and human connection versus algorithmic mediation. First, AI challenges assumptions that the successful completion of assignments …

Teaching Ai Through Communication: Rethinking Evidence, Interaction, And Learning, Chad Edwards, Matthew J. A. Craig, Varun Rijhwani, Habeeb Abdulrauf

Journal of Communication Pedagogy

This conceptual essay advances a central claim: Communication pedagogy is increasingly engaged in teaching AI through communicative interaction. Moving beyond the familiar distinctions between teaching with AI and teaching about AI, it argues that classrooms function as sites where AI communication is shaped through prompting, critique, revision, and ethical evaluation. Drawing on human–machine communication scholarship, the essay reconceptualizes evidence of learning as visible in students’ reasoning, justification, and contextual adaptation rather than in polished outputs. By foregrounding relational engagement, transparency, and communicative judgment, it positions teaching AI as a defining pedagogical task in AI-mediated educational environments.

How To Blow Up An Ai Data Center, Tyler Rife

Journal of Communication Pedagogy

This essay advocates a critical pedagogical orientation to AI guided by a politics of refusal. I pursue this advocacy by, first, showing how the social and environmental harms of AI technology outweigh any promises to its social good and then, second, locating resonances between our contemporary technological situation and similar inflection points in the histories of labor organizing and environmental justice activism. Together, these material implications of the emergent technology help form a pedagogical framework for how communication educators can advance critical literacy about AI in the classroom as a constructive counterpoint to its uncritical adoption in the learning process. …

Ai And Agency: Policy As Problem Posing In The Introductory Communication Studies Classroom, Deanna L. Fassett, Nancy Park

Journal of Communication Pedagogy

This forum essay examines artificial-intelligence policy in introductory communication courses through the lens of critical communication pedagogy. It identifies a tension between institutional pressures for readily enforceable, surveillance-oriented AI policies and relational approaches that support instructors’ and students’ long-term agency. Drawing on problem-posing pedagogy, the authors argue that prepackaged policies can position teaching assistants as policy enforcers rather than reflective educators. They propose collaborative policy development as a means of fostering dialogue, ethical discernment, human connection, and critical engagement with AI’s role in communication education.

When They Automate, We Conversate: Tensions On Ai In Communication Pedagogy, Kyle Vareberg, Meggie Mapes

Journal of Communication Pedagogy

This forum introduction invites communication pedagogues to move beyond binary debates about whether to use or resist artificial intelligence. It frames AI as a set of enduring pedagogical, ethical, institutional, environmental, and communicative tensions that require critical inquiry rather than premature certainty. The forum’s contributors examine questions of agency, policy, relational communication, infrastructure, learning processes, and risk management, positioning communication pedagogy as essential to helping students and educators engage AI with rigor, curiosity, and human-centered intentionality.

From Weaponized Doubt To Educated Doubt: Critical Communication Pedagogy’S Deconstruction Of Post-Truth, David H. Kahl Jr.

Journal of Communication Pedagogy

Powerful and hegemonic entities in society disseminate post-truth messages in order to gain wealth, maintain power, and increase control. Unsuspecting individuals encounter these inimical messages and often find themselves experiencing difficulty discerning fact from fiction because they are largely unprepared to deal with this type of deceitful persuasion. Specifically, unethically utilizing principles of communication pedagogy through what I deem the post-truth process of weaponizing doubt, hegemonic actors deter people from responding and taking action. Because of this, a critical communication pedagogy is needed, utilizing dialogue to prebunk and debunk the process to help people learn to develop educated doubt that …

Speaking In Color: Code-Meshing Against Standard Language Ideology In The Public Speaking Classroom, Darrion A. Walker

Journal of Communication Pedagogy

Public speaking courses do more than teach presentation skills; they also teach students which voices count as credible. In Predominantly White Institutions (PWIs), instructional norms tied to standard language ideology position standardized English as the unmarked benchmark of professional communication. For students who speak African American Language (AAL) or other culturally informed language varieties, this creates a double bind: conform linguistically or risk being penalized for rhetorical authenticity. This reflective essay identifies the double bind as an underexamined problem in communication pedagogy and suggests that code-meshing—the intentional blending of multiple language varieties within a single communicative act—offers a more equitable, …

Creating Safe(R) Classrooms: Trauma-Informed Teaching Practices In Higher Education, Shannon Pappas, Nolan Bowers, Lili R. Romann

Journal of Communication Pedagogy

Trauma is a public health issue, with effects being increasingly harmful for adolescents. While instructors cannot control how students respond to trauma, they can work to create traumainformed teaching practices to support student learning and safety. Based on the principles of trauma-informed pedagogy, this manuscript details how safety, trustworthiness and transparency, choice, collaboration, and empowerment can be implemented in higher education communication courses. Additionally, a sixth principle, responding to the current climate, is introduced. Currently, instructors are grappling with supporting vulnerable students and answering to those in power. These practices offer insights into classroom adaptations to assist instructors in these …