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Full-Text Articles in Entire DC Network
Fall 2026 Environmental Sciences Seminar Series, Morgan Crump, Morgan Crump
Fall 2026 Environmental Sciences Seminar Series, Morgan Crump, Morgan Crump
NRESS Seminars
U.S. national parks protect more than landscapes—they preserve natural soundscapes and dark night skies that are vital to ecological integrity and visitor experiences. This presentation highlights interdisciplinary research conducted with the National Park Service's Natural Sounds and Night Skies Division, including studies of artificial light at night, visitor use management, and the Listening Lab at the University of Vermont. Examples from parks across the U.S. demonstrate how science can inform practical conservation and visitor management.
Algorithmic Oversight: Caremark's Fiduciary Framework Applied To Artificial Intelligence, Samar Singh
Algorithmic Oversight: Caremark's Fiduciary Framework Applied To Artificial Intelligence, Samar Singh
Political Science and International Relations: Student Scholarship & Creative Works
Artificial intelligence now drives core corporate decision, such as loan approvals and hiring screens, yet corporate boards have largely treated its governance as a management-level policy questions rather than a fiduciary obligation. This paper argues that this framing is mistaken, using Delaware's Caremark doctrine, as refined by Marchand v. Barnhill, In re Boeing, and In re McDonald's. The relevant cases already impose an enforceable duty on boards to actively oversee mission algorithmic systems, and by applying Marchand's mission-critical standard, this paper demonstrates that AI performs core business functions that expose companies to anti-discrimination, consumer protection, and …
The Effects Of C-Arm Positioning On The Accuracy Of Acetabular Reorientation In A Periacetabular Osteotomy Surgical Model, Cameron S. Baller
The Effects Of C-Arm Positioning On The Accuracy Of Acetabular Reorientation In A Periacetabular Osteotomy Surgical Model, Cameron S. Baller
Summer Research Program Abstracts
No abstract provided.
Experimental Investigation Of Internal Flow Structures And Permeate Flux Behaviour In Direct Contact Membrane Distillation, Ali Kandi, Mehdi Khiadani, Yujie Yuan, Abdellah Shafieian
Experimental Investigation Of Internal Flow Structures And Permeate Flux Behaviour In Direct Contact Membrane Distillation, Ali Kandi, Mehdi Khiadani, Yujie Yuan, Abdellah Shafieian
Research outputs 2022 to 2026
Understanding internal hydrodynamics of Direct Contact Membrane Distillation (DCMD) is crucial for desalination performance and mitigating temperature polarization. Despite its importance, quantitative experimental characterization of hydrodynamics governing boundary-layer development and transport enhancement within DCMD channels remains limited. This study presents the first spatially resolved Particle Image Velocimetry PIV measurement of velocity fields inside a smooth, actively operating flat-sheet DCMD channel, linking observed hydrodynamic structures to permeate flux. Two-dimensional velocity fields were captured at different streamwise positions for feed flow rates ranging from 0.7 to 4 L·min−1, enabling analysis of flow evolution and turbulence characteristics relevant to mass transfer. The results …
Sociodemographic Predictors Of Patient Adherence To Timely Follow-Up Colposcopy/Leep After Abnormal Pap Screening, Gigi Baer
Summer Research Program Abstracts
No abstract provided.
Social And Psychological Well-Being Of Aps Clients With Elder Mistreatment And Self-Neglect, Thara Ayyar
Social And Psychological Well-Being Of Aps Clients With Elder Mistreatment And Self-Neglect, Thara Ayyar
Summer Research Program Abstracts
No abstract provided.
Understanding Men's Health In Down Syndrome, Brian Chicoine
Understanding Men's Health In Down Syndrome, Brian Chicoine
Advocate GME
Males with Down syndrome may experience certain health conditions differently than females and may also face unique health concerns throughout their lives. In this webinar, Brian Chicoine, MD, will discuss common health topics affecting males with Down syndrome, including growth and development, muscle health, mental health, fertility, aging, and cancer risk. Attendees will learn about recommended health screenings, signs and symptoms to watch for, and practical ways to support lifelong health and well-being. This session is designed to help attendees better understand the health needs of men with Down syndrome and feel more confident navigating healthcare decisions. The webinar will …
Modeling Preannouncement And Launch Timing Decisions For Product Line Extension Under Innovation Uncertainty And Resource-Sharing Dual-Sourcing Supply Chain, Adewole Adegbola, Venkat Allada
Modeling Preannouncement And Launch Timing Decisions For Product Line Extension Under Innovation Uncertainty And Resource-Sharing Dual-Sourcing Supply Chain, Adewole Adegbola, Venkat Allada
Engineering Management and Systems Engineering Faculty Research & Creative Works
This research seeks to develop a system dynamics (SD) model to address challenges associated with the product line extension (PLE) problem. In this work, we specifically consider the "Two-Generation Product Line Extension (TGPLE) Problem", where a firm introduces a product variant in the market and plans to extend the launch to include a newer generation product in a resource-sharing dual-sourcing (RSDS) environment. We begin by identifying the key factors that influence product line extension, and we developed a TGPLE-RSDS construct based on three (3) inter-related systems: Market System, Production System and Supply Chain System. The proposed TGPLE-RSDS construct also illustrates …
Pediatric Insulin Resistance And Obesity In A Mexican Border Population – Associations With Inflammation And Metabolic Disease Risks, Glenda N. Asencio
Pediatric Insulin Resistance And Obesity In A Mexican Border Population – Associations With Inflammation And Metabolic Disease Risks, Glenda N. Asencio
Summer Research Program Abstracts
No abstract provided.
Imsa 2026 Profile, Office Of College And Academic Counseling
Imsa 2026 Profile, Office Of College And Academic Counseling
IMSA Profile
The nationally-ranked Illinois Mathematics and Science Academy (IMSA) develops creative, ethical leaders in science, technology, engineering and mathematics. As a teaching and learning laboratory created by the State of Illinois, IMSA enrolls academically talented Illinois students in its tuition-free residential Academy for grades 10-12. Students are challenged with a rigorous curriculum designed to develop them into problem solvers and critical thinkers. Notable IMSA students include YouTube Co-Founder Steve Chen, PayPal Co-Creator Yu Pan, Yelp Co-Founder Russell Simmons, SparkNotes and OkCupid Co-Founder Sam Yagan, and Hearsay Social Founder Clara Shih.
Retraction Notice To "Hydrogen Recovery, Cleaning, Compression, Storage, Dispensing, Distribution System And End-Uses On The University Campus From Combined Heat, Hydrogen And Power System" [International Journal Of Hydrogen Energy 39 (2014) 647-653], Tarek A. Hamad, Abdulhakim A. Agll, Yousif M. Hamad, Sushrut Bapat, Mathew Thomas, Kevin B. Martin, John W. Sheffield
Retraction Notice To "Hydrogen Recovery, Cleaning, Compression, Storage, Dispensing, Distribution System And End-Uses On The University Campus From Combined Heat, Hydrogen And Power System" [International Journal Of Hydrogen Energy 39 (2014) 647-653], Tarek A. Hamad, Abdulhakim A. Agll, Yousif M. Hamad, Sushrut Bapat, Mathew Thomas, Kevin B. Martin, John W. Sheffield
Engineering Management and Systems Engineering Faculty Research & Creative Works
This article has been retracted: please see Elsevier policy on Article Correction, Retraction and Removal (https://www.elsevier.com/about/policies-and-standards/article-withdrawal). This article has been retracted at the request of the Editor.
Payload-Aware Constrained Route Distribution For Ethernet Vpn Ip Prefix Routes, Anonymous
Payload-Aware Constrained Route Distribution For Ethernet Vpn Ip Prefix Routes, Anonymous
Defensive Publications Series
A payload-aware extension to route target constrained route distribution lets a router advertise both the route target it wants routes for and a descriptor of the payload it needs, such as one Internet Protocol version, the other, or both. The descriptor travels inside the route target membership advertisement, so it propagates as a route rather than a session capability and reaches distant originating routers across any number of route reflector tiers. A route reflector merges the descriptors of its clients by bitwise union into one request advertised upstream, and applies each client's descriptor as an outbound filter on routes sent …
Active Rf Privacy Guard For Detecting And Localizing Hidden Cameras Using Existing Wlan/Wwan Modules And Active Stimulus Response, Hp Inc
Defensive Publications Series
This disclosure relates to the field of radio-frequency sensing, wireless signal processing, and privacy protection. A technique is disclosed that reuses existing wireless local-area network (WLAN) and wireless wide-area network (WWAN) modules in a host electronic device to detect, verify, and localize potential hidden wireless cameras. The technique collects radio-frequency (RF) signal and traffic characteristics, identifies camera-like transmission behavior, and applies an active stimulus-response process in which the host device intentionally generates a known visual or audio stimulus and monitors whether nearby RF traffic changes in temporal correlation with that stimulus. This correlation helps verify whether a suspicious wireless transmitter …
Hardware-Rooted Integrity Attestation For Ai Agents, Niranjan M M
Hardware-Rooted Integrity Attestation For Ai Agents, Niranjan M M
Defensive Publications Series
The proposal introduces a hardware-rooted integrity attestation framework for AI agents that enables a platform to verify that a live agent instance is genuine, untampered, and running in an approved execution state before it is trusted with sensitive actions. By measuring agent-specific artifacts such as binaries, models, plugins, policies, and runtime composition, and binding that measured state to a trusted platform identity and freshness evidence, the system enables real-time and continuous trust decisions for AI agents across physical and virtual environments. In some embodiments, the attestation pipeline is further strengthened using a hardware quantum entropy source to improve nonce generation, …
Semantic Evolution Of Biomedical Data Ecosystems Using Dependency Graphs, Soumendra Kumar Mishra
Semantic Evolution Of Biomedical Data Ecosystems Using Dependency Graphs, Soumendra Kumar Mishra
Defensive Publications Series
This disclosure presents a framework for managing semantic evolution across biomedical data ecosystems using dependency graphs. Changes to terminologies, ontologies, information models, mappings, datasets, analytical features, and AI/ML assets are represented as typed semantic changes and propagated across their dependencies. The framework identifies affected artifacts, determines the semantic conditions that must be preserved, and selects the minimum set of transformations required to accommodate the change. Current and proposed semantic states are validated against consistent evaluation criteria to assess mapping consistency, feature compatibility, model dependencies, and traceability. When validation succeeds, the proposed state is released with supporting evidence. When validation does …
Pharmaceutical Compositions Of Nirogacestat Hydrobromide, Msn Laboratories Private Limited, R&D Center, Srinivasan Thirumalai Rajan, Ravi Kumar Nithiyanandam
Pharmaceutical Compositions Of Nirogacestat Hydrobromide, Msn Laboratories Private Limited, R&D Center, Srinivasan Thirumalai Rajan, Ravi Kumar Nithiyanandam
Defensive Publications Series
The present invention provides a pharmaceutical composition comprising Nirogacestat or a pharmaceutically acceptable salt thereof.
The structure of Nirogacestat is shown below
One-Tap Emoji Actions On Chat Messages, Qiujun Zhao
One-Tap Emoji Actions On Chat Messages, Qiujun Zhao
Defensive Publications Series
A system is described herein that turns an emoji reaction on a chat message into a no-typing instruction to an artificial intelligence (AI) agent while preserving the emoji's ordinary emotional use. A quick tap adds the normal reaction, whereas a press-and-hold, or an equivalent action affordance, causes the AI agent to read the reacted message and its context, interpret the emoji intent, and select a concrete action suited to the content. The same emoji can therefore troubleshoot an error in one message and fact-check a claim in another. When the confidence score satisfies a configurable threshold, the action runs automatically …
Invisible Anchor Document Augmentation, Hp Inc
Invisible Anchor Document Augmentation, Hp Inc
Defensive Publications Series
Printed pages can be linked to videos, explanations, translations, and interactive controls without adding a visible code or marker to the page. The system described here identifies a page from its own words and layout, looks up digital attachment points stored as fractions of the page width and height, and projects those points into a live camera image. Because the attachment points are independent of pixels, they remain aligned when the page is printed at a different size, rotated, or viewed at an angle. A staged recognition process first uses recognized text, then page layout, and finally the overall visual …
Robust Nozzle Calibration For Homogeneous Line Printing, Hp Inc
Robust Nozzle Calibration For Homogeneous Line Printing, Hp Inc
Defensive Publications Series
Current ground-printing technology uses a printhead equipped with nozzles to deposit ink onto a surface. Several printhead parameters, such as pressure and firing frequency, can be configured, directly influencing the printing result and image quality. Printing line weight is one outcome of this configuration and is particularly relevant for ground-printing robots, whose primary purpose is the printing of construction layouts on the floor. However, line weight may vary depending on environmental conditions, printhead lifecycle and health, floor substrate characteristics, and other operational factors. These sources of variability can make it difficult to achieve a consistent printed output across different deployment …
Improving Web Accessibility Using On-Device Models, Gudipati Tarun
Improving Web Accessibility Using On-Device Models, Gudipati Tarun
Defensive Publications Series
Modern web environments typically present navigation barriers for assistive technologies when web content lacks explicit programmatic semantics. A system can utilize an intermediating browser layer configured to execute a multimodal edge machine learning model entirely on a device of a user. The system may scan Document Object Model (DOM) structures to extract layout contexts and generate synthesized structural attributes. The generated attributes can be dynamically injected into an accessibility tree of a browser. Such an approach may enable real-time local remediation of interactive elements, embedded frames, tabular data, and visual media without communicating information to a remote server, thereby preserving …
Spatial Management And Visualization Of Digital Agents Within A Mixed Reality Environment, Jason Mayes
Spatial Management And Visualization Of Digital Agents Within A Mixed Reality Environment, Jason Mayes
Defensive Publications Series
Orchestrating a digital agent typically relies on a software interface and a two-dimensional graphical user interface, making it difficult to visualize a current state or a process of the digital agent. A disclosed system may be configured to manage and visualize a digital agent within a mixed reality environment. The system may present a visual representation of the digital agent, such as an avatar, an abstract process indicator, or a branded entity, positioned at a spatial location within a physical space. Additionally, the system can project a virtual screen or a visual indicator into the physical environment to display data …
Identification Of Impurities In Capivasertib, Anonymous
Identification Of Impurities In Capivasertib, Anonymous
Defensive Publications Series
The present publication relates to the identification of impurities in Capivasertib, chemically known as 4-amino-N-[(1S)-1-(4-chlorophenyl)-3-hydroxypropyl]-1-(7H-pyrrolo[2,3-d] pyrimidin-4-yl) piperidine-4-carboxamide, represented by Formula I
The Predictive Scoring For Dynamic Payment Routing And User Interface Adaptation, Sree Sitamahalakshmi Moguluru
The Predictive Scoring For Dynamic Payment Routing And User Interface Adaptation, Sree Sitamahalakshmi Moguluru
Defensive Publications Series
In the field of digital payment processing, transaction routing systems can operate reactively by identifying performance degradation within a payment processor's network after user transactions have failed. A predictive payment orchestration framework can utilize a machine learning inference engine to generate a real-time authorization probability score for a transaction across multiple available payment processors. This score can be calculated using real-time telemetry signals from the processors and the specific metadata of the pending transaction. Based on the calculated scores, an execution engine can dynamically route the payment to a selected processor or signal a user-facing interface (e.g., a web application, …
Dataless Communication Protocol, Amartya Koner
Dataless Communication Protocol, Amartya Koner
Defensive Publications Series
The present disclosure relates to data communication, and in particular to exchanging information between computerized systems using a dataless communication protocol. A community of financial institutions agree to adopt the dataless communication protocol and receive a dataless communication black box, which causes a local database to be created at each financial institution for storing data and corresponding offsets. A leader financial institution is periodically selected from among the community by way of a leader selection process, and selects a base offset and a frequency for changing the base offset, which are distributed to the community as schema updates and interval …
Solar Panel Using 3 Phase Splitter Systems For 21.28% Return, Having Resolved The Physical Degradation Problem That Plagues Almost All High-Efficiency Solar Architectures, Peter Stevenson
Defensive Publications Series
The Micro-Series Solar Splitter is a passive, solid-state, wavelength-sorting solar energy capture architecture. The system avoids traditional vertical material stacking to eliminate color confusion, cross-absorption, and thermal degradation. By combining non-imaging micro-optical funnels with a horizontal, color-matched semiconductor mosaic, the architecture optimizes the total solar energy budget across the ultraviolet (UV), visible, and infrared (IR) spectrums.
The Cascading Gravity-Fed Nanoscopic Asymmetric Displacement Filter With Self-Priming Discard Protocol, Peter Stevenson
The Cascading Gravity-Fed Nanoscopic Asymmetric Displacement Filter With Self-Priming Discard Protocol, Peter Stevenson
Defensive Publications Series
A gravity fed water filtration system to obtain clean potable water from sea water that requires no consumables or osmosis
Trust-Validated Recovery Of Network Interface Hardware Addresses, Vipin Nagar, Sarathy Venkatakrishnan
Trust-Validated Recovery Of Network Interface Hardware Addresses, Vipin Nagar, Sarathy Venkatakrishnan
Defensive Publications Series
A system is proposed herein for allowing a network interface controller (NIC) to self-heal its media access control (MAC) address in the field safely and only when recovery is warranted. The system operates without an operator or manufacturing tooling and can avoid return merchandise authorization (RMA). When a root of trust (RoT)-anchored authoritative source is used, the system provides a tamper-evident basis for the true MAC address.
Generating Content With Cryptographically Verifiable Atomic Facts, Sandeep Kumar
Generating Content With Cryptographically Verifiable Atomic Facts, Sandeep Kumar
Defensive Publications Series
Systems and methods are described that can use a decoupled architecture to separate data generation from data presentation. A data generation layer can extract atomic facts from source documents and apply a per-value cryptographic token to each fact, creating a verifiable link to its origin using, for example, hashes and digital signatures. A verifiable presentation layer can then use a gatekeeper mechanism to cryptographically validate each fact's token before rendering the fact. This approach can enable granular, per-fact verification at the point of presentation, which may reduce the likelihood of displaying unverified data.
Intelligent Universal Power Connection Fabric For Dynamic Datacenter Rack Deployment, N/A
Intelligent Universal Power Connection Fabric For Dynamic Datacenter Rack Deployment, N/A
Defensive Publications Series
An intelligent DC power connection fabric integrates into datacenter infrastructure as a network of high-density smart nodes arranged in a floor or overhead grid. A hardware rack connects to the nearest smart node, and the system automatically senses the rack’s specific power requirements, including voltage, amperage, and phase. The system then negotiates a safe power delivery profile and dynamically routes the corresponding power configuration to that node. This process occurs without manual physical re-wiring, which decouples hardware placement from fixed electrical outlet specifications. This flexible deployment for racks with diverse power needs reduces deployment delays and stranded capacity within the …
A Transactional Provenance Framework For Causal And Counterfactual Debugging In Multi-Agent Ai Systems, Niranjan M M
A Transactional Provenance Framework For Causal And Counterfactual Debugging In Multi-Agent Ai Systems, Niranjan M M
Defensive Publications Series
Multi-agent AI systems are increasingly used to perform complex, high-impact tasks by coordinating multiple autonomous or semi-autonomous agents with distinct roles such as planning, execution, validation, safety enforcement, and tool invocation. While such systems offer significant flexibility and scalability, their distributed and emergent behavior makes them difficult to understand, debug, and govern, particularly when failures manifest as subtle misbehavior rather than explicit errors.
The proposal presents a transactional provenance framework for causal and counterfactual debugging in multi-agent AI systems. The framework captures the evolution of a multi-agent system as a set of verifiable, causally linked transactions that record agent state …