Digital Commons Network^™

External Validation Of A Knowledge-Based Clinical Toxicology Consultant For Diagnosing Single Exposures, Hugo Lerogeron, Joel D. Schipper, Jay L. Schauben, Laurent Guéguen, Valentine Lacotte, Kim An Nguyen

Publications

Introduction

Clinical prediction models assist healthcare providers in estimating disease likelihood using multiple patient-specific factors. While these models are increasingly used, few undergo the essential process of external validation, which limits their clinical utility. In toxicology, timely diagnosis is crucial and expertise scarce, making knowledge-based systems an excellent choice to support medical decision making. A knowledge-based system developed using data from the Florida Poison Information Center Network has shown promise but lacks external validation. This study aims to evaluate its performance using data from the Lyon Poison Information Center to assess its generalizability

Methods

To externally validate the Florida diagnostic …

“We’Re All In The Struggle Together”: The Experiences Of First-Generation Graduate Students During Covid-19, Rebecca Stallworth, Danielle E. Maurici-Pollock, Jade Obler, Rachel A. Starr

Publications

This study explores the experiences of first-generation graduate students (FGGS) during the COVID-19 pandemic, specifically the positive and negative impacts of the pandemic on their learning experiences and their implications for the design of online graduate programs that foster a sense of belonging.

The Idea Of Air, Jonathan Skinner-Thompson

Publications

How we view air, especially clean air, has meaningful normative and practical implications. Today, it is commonly recognized as an exhaustible natural resource. But air was not always thought of as something to be conserved, developed, and used. This Article is the first to explore and interrogate that view.

The shift to seeing air as a resource started in the first part of the twentieth century. Previously, air was characterized by its limitless supply of oxygen: a pure public good. Over time, the quality of that good changed, and a precious resource emerged. That resource—especially its chemical and physical characteristics—inspired …

How To Use Court Websites Like A Law Librarian: Tools And Tactics For Using Colorado's Court Websites For Legal Research, Annakatherine Wherren

Publications

No abstract provided.

Finite Ventures, Andrew A. Schwartz

Publications

The law endows corporations and other business organizations with the awesome power of perpetual life—unless the charter expressly provides for a certain duration, such as ten years. But does anyone ever actually choose limited life? Why would they?

This article reveals that limited-life business entities—finite ventures—play a significant and underappreciated role in modern commerce. Private equity and venture capital funds, SPACs, and insurance syndicates are all organized with a limited lifespan.

Their motivation? This article claims that limited life is a valuable, but often overlooked, tool for ameliorating agency costs: the managers of a finite venture know they must produce …

The Internet And The Lost Law Of Transit, Vivek Krishnamurthy

Publications

For centuries, the law of transit has specified when states must permit foreign persons and goods to traverse their territory on journeys beginning and ending beyond their borders. Transit is a right — not a privilege — that tempers territorial sovereignty. Though largely forgotten today, the right to transit springs from states’ responsibilities to the international community when their territory hosts infrastructure of global utility.

Yet the internet stands as a striking exception to this tradition. Despite its importance, no doctrine of transit constrains states’ power to block or disrupt internet traffic that merely passes through their territory. This is …

Open Source Ai, Open Liability Ai, Bryan H. Choi

Publications

The release of open-source AI foundation models has been advertised as “good for the world.” But free public access comes with significant risks of harm. The tacit assumption has been that the “open source” label carries with it automatic immunity from legal liability. Accordingly, critics and skeptics of open-source AI have focused their attacks primarily on whether open-source AI properly qualifies as “open source.”

But the rule of liability for open-source AI should not depend on openness. This Essay explains that the notion of open-source exceptionalism draws upon a discredited theory of charitable immunity. Conventional tort law principles do not …

Adversarial Certification Of Evidentiary Software, Nicholas G. Vincent, Bryan H. Choi, Eli Siems, Clay Halbert, Katherine J. Strandburg

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No abstract provided.

Toward Neurosymbolic Reinforcement Learning Via Editable Specifications, Vedant Khandelwal, Hong Yung Yip, Amit Sheth

Publications

Reinforcement learning systems are commonly adapted to new settings by retraining or fine-tuning policies. This default is costly, difficult to audit, and poorly aligned with structured requirement changes such as revised safety rules, new operational constraints, or updated user preferences. We argue for an alternative abstraction: adaptation via edits to an external, human-readable specification that the agent consults at execution time. We propose conditioning decision-making on an editable knowledge graph encoding (i) rules capturing action applicability and high-level effects, (ii) hard constraints defining feasibility, and (iii) soft preferences shaping tradeoffs among feasible behaviors. Requirement changes become graph edits, not policy …

Dyno : Dynamic Neurosymbolic Orchestrator For Multi-Agent Systems, Ritvik Garimella, Chathurangi Shyalika, Renjith Prasad, Amit Sheth

Publications

Large Language Model (LLM)-based multi-agent systems (LaMAS) represent an emerging paradigm for tackling complex, multi-step reasoning and decision-making problems. As these systems scale, orchestration, which is the ability to coordinate, manage, and evaluate the interactions among diverse agents, becomes central to their success. While recent orchestrators such as AgentFlow have demonstrated promise in managing communication and task delegation, they remain limited in their ability to understand task semantics, coordinate heterogeneous agent types (e.g., reactive vs. cognitive), and adaptively align outputs with human-defined goals. In this position paper, we introduce the DYNO (Dynamic Neurosymbolic Orchestrator), a system developed as part of …

Ai Is For Alma Implementation: Evolution Of Finding Ex Libris Documentation, James M. Day

Publications

Those of us who administer the Ex Libris Alma Library Services Platform for our institutions often need help with procedures for configuring or customizing Alma and its related applications: Alma-D, Leganto, Rapido, Primo, Summon, Analytics, etc. The way we have done this has evolved over the years. This paper reviews how methods for finding Ex Libris documentation online have changed, even as older methods are still in use today.

Artificial intelligence chatbots are changing the way we access information, including software application help. A recent Alma implementation project at my university provided the perfect opportunity to put a new, fully …

Late-Stage Capitalism And Consumerism In Higher Education: A Morphogenetic Analysis, Kallen Zhou

Publications

Facing widespread student disengagement and dissatisfaction, U.S. higher education is undergoing a paradigm shift, detaching from its civic and pedagogical origins. A key force driving this transformation is the rise of student consumerism. While existing literature documents market-driven actions adopted by higher education institutions (HEIs) and the consumer roles students play, it overlooks structural market forces. Specifically, little theorization exists on the relationship between late-stage capitalism and student consumerism. This paper addresses that gap through two steps: first, offering a historical analysis of the traditional university model, late-stage capitalism, academic capitalism, and the decline of the liberal arts; second, developing …

Sustainable Practices For Aircraft Decommissioning And Recycling In A Circular Aviation Economy, Eva Maleviti, Dimitra Papadaki

Publications

The aviation industry requires a series of actions that will transform its current status, aiming for sustainable operations. Aviation’s end-of-life stream is a pivotal lever for circularity, yet current dismantling and recycling practices leave significant value unrealized. Circular Economy could be considered as a transformational approach to the aviation industry and address its environmental and economic challenges, meeting sustainability principles. This study conducts a PRISMA-guided qualitative systematic review across academic and industry sources to synthesize regulations, technologies, and economics of aircraft decommissioning. It aims to quantify material recovery potential and environmental gains at the aircraft level and assess technology readiness …

Students’ Solutions To Student Problems: A Participatory Assessment Of Student-Centric Approaches To Common Classroom Conflict At Embry-Riddle Aeronautical University, Ernest Ogbozor, Katie Lopez, Claudia Cornejo Happel, Dome Klonggumrai, Jillian Brown

Publications

Classroom conflict between students and instructors, as well as among students, is a phenomenon that significantly impacts student academic engagement, performance, and emotional well-being; yet, it is often overlooked. Conflicts may result from poor attendance, lack of participation, unclear grading policies, miscommunication, and technology-related disruptions, and are frequently addressed through top-down course policies that exclude student perspectives. This research is a participatory assessment of common classroom conflict and student-centered approaches at Embry-Riddle Aeronautical University (ERAU). The purpose of the study is to examine students’ solutions to classroom conflicts in comparison to prevailing faculty-led course policies. Using participatory research (PR) methodology …

Preparing Tomorrow’S Professionals: Industry-Informed Ai Integration, Brent A. Terwilliger Ph.D, John Faraca

Publications

As AI reshapes operations across aviation and aerospace, organizations are investing in ways to preserve data integrity, safeguard proprietary knowledge, and uphold critical professional competencies. This presentation shares emerging findings from a study that surveys and interviews industry professionals about their use of AI tools, their concerns about misuse, and the importance of secure, enterprise-controlled “walled garden” environments. The work explores how employers define appropriate, effective, and innovative AI adoption, particularly in roles requiring high-stakes decision-making, compliance, and technical acumen.

By analyzing organizational expectations around AI-related knowledge, skills, and abilities (KSAs), this research offers practical guidance for academic programs seeking …

Student Perspectives On Ai-Enabled Tools For Adaptive Learning, John Faraca

Publications

Artificial Intelligence (AI) is increasingly influencing the delivery of higher education, especially in aviation technical disciplines. From AI-assisted gimbals and video production tools to generative AI platforms, these technologies are helping learners to engage with course material, accomplish objectives, and connect academic concepts with professional applications. By offering pathways for personalization, streamlining resource access, and supporting interactive instruction, AI tools expand opportunities for effective learning. This work builds on a current collaborative research project with a faculty researcher to explore the student perspective in the active review and application of these tools to highlight their potential to improve usability, address …

Multiscale 3d Whole Joint Cellular And Molecular Mapping Reveals Disease-Specific Neurovascular Plasticity Underlying The Structure-Pain Relationship, Peng Chen, Jiaxin Chai, Abirami Soundararajan, R. Glenn Hepfer, Benjamin Kheyfets, Jiaxin Hu, Ishraq Alshanqiti, Swarnalakshmi Raman, Ikue Tosa, Jun Tae Huh, Matthew Yee, Brooke J. Damon, Shangping Wang, Yu Shin Kim, Man-Kyo Chung, Mildred C. Embree, Janice S. Lee, Tong Ye, Hai Yao

Publications

Understanding musculoskeletal joints from a 3D multiscale perspective, from molecular to anatomical levels, is essential for resolving the confounding relationships between structure and pain, elucidating mechanisms regulating joint health and diseases, and developing new treatment strategies. Here, a musculoskeletal joint immunostaining and clearing (MUSIC) method specifically developed to overcome key challenges of immunostaining and optical clearing of intact joints are introduced. Coupled with large-field light sheet microscopy, this approach achieves 3D high-resolution, microscale neurovascular mapping within the context of whole-joint anatomy without the need for image coregistration across various joints, including temporomandibular joints, knees, and spines, and multiple species, including …

Truck Drivers And Autonomous Trucks: A Topic Modeling Analysis Of Truck Driver Posts, Noah Britt, Amy M. Schuster, Shubham Agrawal, Chu-Hsiang Chang, Jenna A. Van Fossen, Elizabeth A. Mack, Sheila R. Cotten

Publications

Social media provides a rich, alternative data source to interviews or survey-based research to study hard-to-reach populations (e.g., truck drivers, because of their transient work structure and unique subculture). This study uses public social media posts from the largest trucking forum in the United States to examine truck drivers’ views on autonomous trucks (ATs), which are poised to transform the trucking industry. We expand on traditional qualitative strategies of analyzing social media data by combining newer methods, including BERT-based topic modeling, sentiment analysis, stance detection, emotion analysis, topic similarity, and location analysis through a social interaction network, to analyze a …

Detection And Classification Of Invasive Callery Pear From Multisource Satellite Imageries In Google Earth Engine, Kavi Raj Awasthi, Nilesh Timilsina, Denita Hadziabdic, Federico Iuricich, William E. Klingeman, Marcin Nowicki, Brook T. Russell, Jessica A. Hartshorn

Publications

Assessing the spatial distribution of invasive species is a critical component for establishing baselines to examine the rate of spread, documenting key areas where negative impacts on ecosystems can be mitigated, and developing sustainable management strategies. Callery pear (Pyrus calleryana Decne.; PC) is a rapidly spreading invasive woody plant species in the eastern United States (U.S.). The incursion of these wild-type trees into urban, peri-urban, and rural landscapes, which have escaped from transplanted clonal cultivars, poses complex management challenges for land managers and hampers ecosystem function by competing with native plant species and altering the forest environment. We integrated …

Crisis Observatory: Extracting Credible Signals During A Crisis In The Age Of Llms, Kuan-Chieh Lo, Pranav Maneriker, Sriram Sai Ganesh, Dominik Winecki, Kelly Garrett, Ayaz Hyder, Arnab Nandi, Valerie Shalin, Shannon A. Bowen Ph.D., Amit Sheth, Srinivasan Parthasarathy

Publications

Systems for crisis response have required several different models for the analysis of unstructured text, such as identifying needs, locations, topics, routing, and matching of needs with available responders. Large Language Models (LLMs) have replaced task-specific models across various language processing tasks. However, LLMs are known to be limited by their training data, collected before the crisis. In this demo, we explore the use of LLMs for crisis response scenarios with rapidly evolving information environments. We show how the augmentation of these models with external reliable sources of crisis-specific information can help build adaptive systems for response. The demonstration video …

A Knowledge-Driven Deep Learning Framework For Organoid Morphological Segmentation And Characterization, Yiming Qin, Jiajia Li, Yin Heng, Zheyuan Wang, Dezhi Wu, Mahi Rahman, Pengwei Hu, Tobias Plötz, Alexander Hopp, Nicholas Kurniawan, Mathias Winkel, Philipp Harbach, Chunling Tang, Feng Tan

Publications

BACKGROUND: Organoids have great potential to revolutionize various aspects of biomedical research and healthcare. Researchers typically use the fluorescence-based approach to analyse their dynamics, which requires specialized equipment and may interfere with their growth. Therefore, it is an open challenge to develop a general framework to analyse organoid dynamics under non-invasive and low-resource settings.

RESULTS: In this paper, we present a knowledge-driven deep learning system named TransOrga-plus to automatically analyse organoid dynamics in a non-invasive manner. Given a bright-field microscopic image, TransOrga-plus detects organoids through a multi-modal transformer-based segmentation module. To provide customized and robust organoid analysis, a biological knowledge-driven …

Insights On Ai-Supported Uncrewed And Autonomous Systems Education, Brent A. Terwilliger Ph. D, John Faraca

Publications

Artificial Intelligence (AI) related technology is reshaping the educational experience in programs focused on uncrewed and autonomous systems, aviation, robotics, and aerospace, with growing implications for workforce readiness and cross-sector innovation. Early survey data, capturing student, educator, and employer perspectives, reveals that AI-supported tools are notably changing student engagement, communication, and skills development. Initial indications underscores the importance of AI proficiency and technological familiarity in hiring and workforce development, particularly in technical and operational roles. Key areas of focus include the use of AI to strengthen outreach and interactivity; enrich instruction through intelligent simulations; inform curricular improvements using data analytics; …

Beyond The Bipolar: Allowing Satisfaction And Dissatisfaction To Coexist, Dustin J. Souders, Yixiu Yu

Publications

Copyright © 2025 Souders and Yu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).

Rethinking The Narrative Of Turkey’S July 15 Events: An Intelligence Operation Disguised As A Coup Attempt, Mustafa Kirisci, Ibrahim Kocaman, Murat Balci

Publications

Academia, think tanks, and international media have largely adopted the Turkish government’s narrative that the events of July 15, 2016, constituted a failed coup attempt. This dominant framing has shaped policy responses and scholarly interpretations despite the authoritarian context in which it was crafted. Many Turkish and Western scholars accepted the Turkish government’s narrative that the July 15 events were a failed coup attempt. They often rely on surface-level indicators and official statements without critically engaging with available evidence. Also, they disregarded substantial evidence and defendants’ statements in judicial proceedings that directly contradict official statements. One notable exception to this …

Bees (Hymenoptera: Anthophila) Of Seasonal Herbaceous Wetlands In Mississippi, Haley Hughes, Katherine A. Parys, Kim T. Huntzinger, Caleb Lankford, Christine Fortuin, J. Brian Davis

Publications

Seasonal wetlands help meet the biological needs of various autumn migrating and wintering waterfowl species in North America (Reinecke et al. 1989). Management of seasonally flooded impoundments often uses soil and vegetation disturbances and water management to promote early succession plants that produce abundant seeds for foraging birds (Low and Bellrose 1944, Kross et al. 2008). Native bees (Hymenoptera: Anthophila) also occupy these wetland habitats, as they are attracted to a diversity of flowering plants (Stephenson et al. 2018).

The Mississippi Alluvial Valley (MAV) is an alluvial plain and once represented by nearly 10 million ha of bottomland hardwood forests, …

Terra Lunaris: Assessment Of A Lunar Habitat For Scientific Astronauts, Space Miners, Or Space Tourists, Dirk Schumann, Robert A. Goehlich

Publications

This conceptual paper explores ground- based habitable space modules for various applications. The Terra Lunaris concept serves as the baseline and is evaluated in comparison to existing and theoretical studies in this field. Terra Lunaris is a compact hybrid habitat that expands to offer nearly four times its transport volume by combining rigid modules with an inflatable shell. With most interior elements pre-installed and foldable, setup time and complexity are minimized. The design integrates technical zones, living quarters, and shared spaces, while also supporting psychological well-being under extreme conditions. The paper provides both qualitative and quantitative analyses of lunar habitation …

Building Multimodal Knowledge Graphs: Automation For Enterprise Integration, Ritvik Garimella, Hong Yung Yip, Revathy Venkataramanan, Amit P. Sheth

Publications

As enterprises increasingly aim to incorporate artificial intelligence into their workflows to tackle complex, multimodal tasks, the demand for intelligent, robust, and trustworthy systems is paramount. While multimodal large language models offer initial capabilities for processing diverse data streams, their dependence on embedding-based representations limit their effectiveness in delivering semantically grounded explanations and reasoning, as well as qualities essential for enterprise-grade applications. Neurosymbolic approaches provide a promising alternative by enabling traceable, context-aware decision making. However, constructing enterprise-level multimodal knowledge graphs (MMKGs) that enable neurosymbolic approaches remains largely impractical. Although prior efforts have explored MMKG construction, they fall short in addressing …

Data Compression In Additive Manufacturing: Recent Progress And Opportunities, Dongmin Ethan Kang, Wenmeng Tian

Publications

A crucial aspect of quality control for Additive Manufacturing (AM) processes is the acquisition of diverse data from the entire lifecycle of the product. AM data has grown significantly in terms of diversity and volumes, resulting in diverse data formats of increasing volumes, including time series, images, and point clouds. Large quantities of these data are essential for effective in-situ process monitoring and ex-situ non-destructive evaluation. However, this will result in large manufacturing and inspection datasets that are difficult to manage for users, which will delay the broader adoption of AM for mission critical applications. This motivates the urgent need …

Mitigating Melanin-Induced Bias In Pulse Oximetry: Optical, Algorithmic, Engineering, Hardware And Modeling Tools, Mckenzie Bradley, Sydnee Barrett, Ty Mckelvey, Jeremiah Carpenter, Delphine Dean

Publications

Melanin, the primary determinant of skin pigmentation, absorbs light at wavelengths that can have significant impact on the accuracy of pulse oximetry and other optical biosensing methods. This narrative review examines key factors influencing melanin-dependent pulse oximetry inaccuracies, including optical interference in transmission and reflectance modes. These inaccuracies further highlight the need for use of standardized skin tone metrics in device testing and design such as the Monk Skin Tone scale and Individual Typology Angle for performance stratification. There are several approaches in development that hope to address the errors in pulse oximetry measurements on melanin-rich skin. These include algorithmic …

Impact Of Mining Activities On Land Use Land Cover (Lulc) Using Geospatial Techniques In The Obuasi Municipality, Jonathan Arthur Quaye-Ballard, Samira Naa Yemoley Nsiah, Jephthah Marfo Nimoh, Titus Tienaah, Tina Dzigbordi Wemegah, Precious Adwoa Okyere

Publications

Introduction: Sustainable development, which balances economic, social, and environmental factors to meet the needs of the present and future generations, is a collective responsibility. Rapid population growth and intensification of socio-economic activities are causing significant changes in Land Use Land Cover (LULC), directly impacting ecosystem services, biodiversity, and climate. The Obuasi community is already facing environmental degradation and health problems due to gold mining.

Methodology: The study assessed the spatial extent and intensity of mining activities in the Obuasi Municipality on the LULC and predicted future LULC changes due to mining activities using geospatial techniques. The LULC changes were analysed …