Digital Commons Network^™

Ranging Technology Transition With Make Before Break, Roshan Pius, James Eidson, Ante Culo

Defensive Publications Series

Proximity-based service use cases use ranging technologies to provide distance measurements. However, in such use cases, a single static ranging technology is chosen before a ranging session and used throughout the session. This can degrade ranging performance. This disclosure describes techniques for dynamically switching between different ranging technologies during an ongoing ranging session. Per the techniques, when switching from a first to a second ranging technology, the second technology is activated concurrently with the first technology when a corresponding transition criteria is satisfied and the first technology is deactivated only after an ok-to-stop criteria is satisfied. This prevents gaps in …

System And Automated Method For Isomorphic Concept Discovery And Cross-Domain Architectural Synthesis Via Controlled Hallucination And Reverse Constrained Mapping: Vector-Isolated Rag Pipeline And Bi-Directional Optimization Loop For Open-Domain Structural Analogy Generation., Herbert Gillis

Defensive Publications Series

An automated data processing system and computer-implemented method are disclosed for programmatically synthesizing novel structural architectures in a vacant target domain space utilizing the invariant physical or structural laws of a highly validated source domain. The system executes a generative forward loop by extracting an ordered tuple of structural and functional mechanics from a source domain, removing forward-validation lexicon filters, and enforcing aggressive semantic isolation and lexical pruning to block known industry-specific terms. Forced into a vector space void, an optimization engine or generative model synthesizes a structurally constrained neologism and an associated set of invented mechanisms. The system then …

System For Ai-Generated Interactive Suggestions On Spatially Annotated Digital Media, Harshita Sharma

Defensive Publications Series

Discussions related to shared digital media may be disconnected from the visual content, which can fragment the user experience and delink comments from specific visual details. Systems and methods are described that can augment media with an interactive, context-aware conversational layer. A user can affix an annotation to a specific spatial location within visual media, such as an image, and this annotation may serve as a contextual prompt for a multimodal artificial intelligence (AI) model. The AI model can process the annotation's text in conjunction with the visual data of the underlying media region to generate and present relevant follow-up …

Dynamic User Interface Calibration Of An External Display Using A Head-Mounted Device, Vivek Kushwaha

Defensive Publications Series

User interfaces on external displays can be static, which may lead to suboptimal viewing experiences at varying distances, while some dynamic solutions can have limitations. Systems and methods are described that use a camera on a head-mounted device (HMD) to determine a user's spatial relationship to an external display. The HMD may capture video of the display, calculate the user's distance and viewing angle based on the display's appearance in the camera's view, and transmit this data wirelessly to the display. In response, the external display can dynamically adjust its user interface, for example, by modifying element sizes and information …

Personalizing A Shared Display Using Context From Egocentric Vision, Vivek Kushwaha

Defensive Publications Series

Content recommendation systems for shared displays may lack awareness of a user's real-time physical context, potentially affecting the relevance of suggestions. The described techniques detail a system that can use a wearable computing device (e.g., smart glasses with an egocentric camera, a smart watch, etc.) to identify an object a user is interacting with. This object context can be validated and wirelessly communicated (e.g., via a local or personal area network) to a nearby shared display, such as a smart television or public kiosk.

On-Device Bidding Protocol For Context-Aware Dynamic Media Stream Sequencing, Vivek Kushwaha

Defensive Publications Series

Media consumption may be fragmented across various application-based services, and centralized recommendation engines can operate within separate ecosystems, which may introduce privacy considerations. This disclosure relates to systems and methods for dynamically compiling a personalized media stream on a client device (e.g., a smartphone, smart watch, television, or wearable device). The approach can utilize an on-device, multi-agent bidding protocol where a user agent may initiate a content auction by broadcasting abstracted, locally-derived context tokens to multiple streaming service agents that can represent different providers. These agents may then submit bids containing relevant content, and the user agent can select a …

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final 2023 Reclamation Improvement Sites Sampling: Bres No. 17 – Paymaster Dump Site Evaluation Summary Report, Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Approval Letter For The Draft Final Butte Priority Soils Operable Unit (Bpsou) Unreclaimed Sites: Ur-35 Construction Completion Report (Ccr), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Time-Normalized Evapotranspiration Reveals Substantial Nighttime Water Loss In A Controlled-Environment System, Claudia Garrido-Ruiz, Bruce Bugbee, Juan D. González-Teruel, Sarah Schreck, Scott B. Jones

Plants, Soils, and Climate Faculty Publications

Efficient water management in closed-loop plant production systems requires accurate characterization of evapotranspiration (ET), because crop water loss influences atmospheric moisture conditions within the controlled environment. Day–night ET dynamics were quantified in the Engineering Development Unit of the Utah Reusable Root Module, a zero-discharge system for controlled-environment crop production.

Volumetric water content was monitored at high temporal resolution using two electromagnetic sensors installed at different depths within five independent root modules with different surface-containment configurations. Hourly ET was derived from water-content depletion and cross-checked against irrigation inputs. Following seedling emergence, system ET increased from < 1 L d⁻¹ to approximately 3 L d⁻¹ by day 12. During rapid growth, defined as the four consecutive days when system ET exceeded this threshold, hourly ET differed significantly among four light-period categories, with daytime ET highest, followed by night-transition, day-transition, and nighttime ET.

Although the cumulative daily nighttime-to-daytime ET …

Beyond Fragmentation: A Multidimensional Framework For Green Product Innovation, David Mayorga, Jorge Tello-Gamarra, Martín Hernani-Merino, Sonia Oré

Journal of Management for Global Sustainability

Green product innovation (GPI) has become an essential strategy for companies to address environmental challenges while strengthening their competitiveness in a sustainable manner. However, important gaps remain in understanding how internal organizational factors interact with external pressures that shape their implementation. Existing conceptual frameworks have advanced the identification of these factors, but they often focus only on direct relationships and overlook the mechanisms that connect them. They also tend to adopt narrow perspectives that fail to capture the hybrid complexity observed in empirical evidence. This study aims to develop an integrative conceptual framework that synthesizes the antecedents, processes, and outcomes …

Recipient Of The 2026 Alumni Trailblazer Award, Jared Kaplan ’01

Alumni Trailblazer Award

Jared Kaplan is Chief Science Officer and Co-Founder of Anthropic, an AI lab dedicated to developing safe, beneficial AI. His research on scaling laws revolutionized the field by providing a framework for understanding and predicting advanced AI systems, guiding resource allocation and technological development. He also helped pioneer Constitutional AI, an approach designed to align AI systems with predetermined principles and values. A theoretical physicist for 15 years, Jared helped build GPT-3 and Codex at OpenAI before co-founding Anthropic. He is also an associate professor at Johns Hopkins University, where he teaches deep learning foundations. Jared holds a Ph.D. in …

Recipient Of The 2026 Alumni Titan Award, Courtney M Thompson ’03

Alumni Titan Award

Courtney M. Thompson is a visionary analytics leader whose professional excellence is matched by her sustained service to IMSA. As Executive Director of Marketing Science at PHD Media, she leads teams across analytics, data science, and technology, guiding strategy for Fortune 100 and Fortune 500 organizations and translating complex data into actionable insight. Throughout her career, Courtney has aligned data, innovation, and business strategy to drive measurable impact. Her expertise in AI-driven insights and enterprise analytics continues to shape informed decision-making. Since 2014, Courtney has served on IMSA’s Admissions Review Committee, helping shape incoming classes through a thoughtful, equity-minded approach. …

Recipient Of The 2026 Alumni Distinguished Leadership Award, Dr. Daniel Murariu ‘99

Alumni Distinguished Leadership Award

Dr. Daniel Murariu is an internationally recognized leader in reconstructive microsurgery whose career reflects distinguished achievement, innovation, and service. As a surgeon, researcher, and educator at the University of Hawaii, he has advanced robotic-assisted reconstructive surgery through extensive research, global lectures, and the landmark 2025 textbook Atlas of Robotic Reconstructive Procedures in Plastic Surgery. He has authored nearly 80 peer-reviewed publications and delivered almost 200 national and international presentations, advancing surgical techniques and patient care worldwide. A Diplomate of the American Board of Plastic Surgery and American Board of Surgery, Dr. Murariu is also a Fellow of the American College …

Recipient Of The 2026 Alumni Distinguished Leadership Award, Ms. Lavina Jadhwani ‘01 (Posthumous)

Alumni Distinguished Leadership Award

Ms. Lavina Jadhwani was a visionary theater artist and leader whose career reflected distinguished achievement, courageous advocacy, and a deep commitment to inclusion. As a playwright, director, and dramaturg, she reimagined classical works through contemporary, diverse lenses, becoming the first woman of color to direct Shakespeare at the Guthrie Theater. Her widely produced adaptation of “A Christmas Carol” and other works reached hundreds of thousands, expanding access to inclusive storytelling. Lavina served on the boards of the National New Play Network and Chicago Inclusion Project, advancing new works, inclusive hiring, and equitable theater practices. She championed underrepresented voices, created tools …

Pe2prompt: A Large Language Model-Native Framework For Interpretable Static Malware Analysis, Yilin Sun, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

Large Language Models (LLMs) possess strong general-purpose reasoning abilities, yet their integration into static malware analysis pipelines remains limited due to the representational gap between high-dimensional numerical features and the natural-language input format required for inference. This study introduces PE2Prompt, a Large Language Model-native framework for interpretable and industrially deployable static malware analysis. PE2Prompt formalizes a modular process that bridges numeric PE features and LLM reasoning through three key components: (1) LLM-guided feature curation directly from raw EMBER JSON fields to identify semantically relevant attributes; (2) numerical feature summarization, compressing byte-histogram and entropy distributions into interpretable descriptors; and (3) structured …

Integrating Technologies For Synthetic, Systems, And Spatial Approaches In Cancer Research, Karmella A. Haynes, Kolade Adebowale, Belinda S. Akpa, Joel S. Bader, Trisha Bansal, Joshua Breunig, Ran Brosh, Lukasz J. Bugaj, George M. Burslem, Awalpreet Chadha, Moumita Das, Tara Deans, Cole A. Deforest, Lawrence J. Dooling, Zev Gartner, Laura M. Heiser, Alex Hughes, Melissa L. Kemp, Kirill S. Korolev, Chunru Lin, Timothee Lionnet, Xin Lu, Alison P. Mcguigan, Hamid Reza Mirzaei, Ajit J. Nirmal, Marina Pasca Di Magliano, Alexandros Poulopoulos, Kunal Rai, José Reyes, Dagan Segal, Mary Kathryn Sewell-Loftin, Evegeniya V. Shmeleva, Adam Stevens, Subbaya Subramanian, Thea Tlsty, Jennifer Totonchy, Alexander Vlahos, Pei Wang, Ioannis K. Zervantonakis, Yanding Zhao

Pharmacy Faculty Articles and Research

Emerging tools for spatial analysis, systems biology, and synthetic biology offer opportunities to observe, dissect, and perturb cancer mechanisms, to design strategies for the prevention of oncogenesis, and to identify therapies that lead to durable tumor control. Here, we summarize perspectives from the virtual Innovation Lab on “Synthetic and Systems Approaches to Interrogate Spatiotemporal Processes in Cancer” (S3) hosted by the National Institutes of Health (NIH), which assembled interdisciplinary experts to discuss cancer spatial organization and dynamic cellular interactions and how they can be addressed by leveraging novel synthetic and systems biology approaches. These discussions focused especially on cancer initiation, …

Harmful Algal Bloom Monitoring In South Florida Using Water And Aerosol Payloads On Uncrewed Aircraft, Kayla D. Taylor, Justin Fratto, Avinash Muthu Krishnan, David Zink, Blake Neal, Jose Cabrera, Emel Sen-Kilic, Marc Compere, Kevin Adkins

Student Works

Harmful algal blooms (HABs) threaten aquatic ecosystems, public health, and tourism and fishing industries throughout the United States, including Florida. Because HABs can develop and spread rapidly, geographically representative sampling efforts can be very difficult and labor-intensive, and traditional monitoring methods, such as satellite-based remote sensing, often lack the spatiotemporal resolution needed to characterize bloom dynamics. This project, funded by the Environmental Protection Agency (Grant No. 05D36825), aims to develop an uncrewed aircraft (UA)-based water and aerosol sampling approach to improve HAB monitoring and support prediction and mitigation efforts. One year into our funding period, we have integrated a multi-depth, …

Where Do We Go Now: An Examination Of The Role Of 3d Modeling In Cancer Research, Ella Claire Gregory, Hannah Noelle Cochran

ABE 4523/6523 Biomedical Materials

The development of three-dimensional tumor models has become an important area of cancer research. By incorporating biomaterials that can mimic the physical, chemical, and biological characteristics of the tumor environment. 3D models can provide a more physiologically relevant environment for studying tumor growth, cell interaction, metastasis, and drug response.

Re: Approval Letter For The Revised Draft Final Butte Priority Soils Operable Unit (Bpsou) Butte Treatment Lagoons (Btl) Quarterly Operation And Maintenance Report: Butte Treatment Lagoon System – First Quarter 2026 (Dated September 15, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Trust-Aware Federated Learning For Privacy-Preserving Iot Intrusion Detection, Muhammad Asad, Santosh Kumar Banbhrani, Chen Wei

School of Engineering, Computing and Mathematics

The rapid growth of Internet of Things (IoT) networks has increased the need for intrusion detection mechanisms that provide accurate threat detection while preserving privacy, resisting malicious clients, and limiting communication overhead. Existing Federated Learning (FL)-based intrusion detection systems (IDS) remain challenged by heterogeneous non-IID client data, exposure of model updates, adversarial client participation, and frequent model transmission. To address these limitations, this paper proposes FLZT-IDS (Federated Learning with Zero-Trust for Intrusion Detection in IoT). The framework employs gradient-deviation monitoring to mitigate the effects of heterogeneous client updates, while Graph Neural Networks (GNN) and an Attention-based BiLSTM capture relational and …

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Final 2023 Reclamation Improvement Sites Sampling: Bres No. 31 – Waste Dump #5 Site Evaluation Summary Report, Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Conditional Approval Letter For Butte Priority Soils Operable Unit (Bpsou) Butte Treatment Lagoons (Btl) Hydraulic Capacity Improvements Interim Operations And Water Management Plan (Dated September 18, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Engineering Pegylated Chitosan–Gold Nanoparticles For Radiosensitization And Sirna Delivery To Glioblastoma, Wesley Chiu

Summer Research Program Abstracts

No abstract provided.

2026 October 9 - State Of The University Address, Office Of The President, East Tennessee State University

Office of the President Speeches

No abstract provided.

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Unreclaimed Sites Field Sampling And Investigation Plan: Ur 54 – East Of Main And Gagnon, Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Resources Shaping Science Teachers' Design And Implementation Of Scientific Argumentation Instruction: A Systematic Review, Nannan Fan, Eric A. Kirk, Minghui Zhu, Troy D. Sadler

Instructional Technology and Learning Sciences Faculty Publications

Scientific argumentation is a core scientific practice recognized by multiple national science standards, yet many science teachers experience challenges integrating it into their classrooms. This systematic review examined the resources identified by research as shaping teachers’ argumentation instruction and how these resources were reported to support teachers’ classroom practice. Guided by an adapted version of the Pedagogical Design Capacity Framework, we analyzed 79 empirical studies published between 1983 and 2025. Resources were categorized as personal, instructional, or contextual, and their specific supportive aspects were grouped according to their reported contributions. Personal resources included teachers’ beliefs, knowledge of argumentation, and pedagogical …

Community-Based Water Management Through Cultural Ecosystem Services: Traditional Wisdom And Modern Adaptation In Senjoyo Spring, Indonesia, Puji Winarti, Sri Haryani, Sri Wardani, Langlang Handayani

Journal of Environmental Science and Sustainable Development

Small-scale freshwater ecosystems play vital ecological and cultural roles. However, community-based water management (CBWM) often lacks a clear analytical approach to integrating cultural ecosystem services (CES) and traditional ecological knowledge (TEK), limiting the practical understanding of culturally grounded governance. To address this gap, this qualitative study explores the interactions between CES and TEK, analyzes their roles within CBWM, and identifies their implications for sustainable water governance. The integration between cultural value and local ecological knowledge makes Senjoyo Spring an appropriate location for this study. Data were collected through interviews with 20 key informants, field observations, forum group discussions (FGDs), and …

Increasing Ai-Related Patient Care Discussions In Family Medicine Residency Clinics, Collin Spencer, Kevin Lee, Jessica Sefen, Alonzo Jalan, Will Lehmann, Keyonna Taylor-Coleman, Katharine Kelly, Bonnie Bobot, Meinuo Chen-Baca, Samantha Ladin, Stephanie Malusic, Deborah Simpson

Aurora GME

Introduction: Artificial Intelligence (AI) tools, such as Large Language Model (LLM) powered medical search engines, are rapidly becoming integrated into clinical medicine, yet adoption and correct-use education remain inconsistent among residents and faculty. Building on previous findings that highlighted the need for curriculum refinement and faculty champions, this performance improvement project focused supervision discussions. Actively creating an open dialogue discussing AI utilization during staffing encounters presents a crucial teachable moment to model appropriate use, clear misconceptions, and guide residents in the strategic leveraging of these tools for patient care.

Aims: To increase by 20% the number of discussions occurring between …

Re: Comment Letter For The Silver Bow Creek/Butte Area Npl Site Butte Priority Soils Operable Unit, Remedial Design Documents For The Blacktail Creek Area Groundwater Hydraulic Control System (Dated July 31, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Effects Of Restorative Practices On Student Behavior And School Climate: A Case Study, Victoria Smith, M.A.T., Donna Governor, Ph.D, Carlise Womack-Wynne, Ed.D

Current Issues in Middle Level Education

Schools have been seeking alternatives to punitive discipline measures. As an alternative, restorative practices offer healing, community, and relationships. This case study examined a middle school that had been implementing restorative practices since the 2019–2020 school year, three full years at the time of study. A mixed-methods design was used in order to investigate whether the implementation of restorative practices had resulted in a decrease of student misbehaviors and an increase in staff perceptions of school climate. Staff were interviewed (n = 19) and surveyed (n = 44). A thematic analysis was conducted on the interview data, and …