Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 5881 - 5910 of 5207185

Full-Text Articles in Entire DC Network

Free University Press: May 11, 1970 Oct 2026

Free University Press: May 11, 1970

UTA Underground Newspaper Collection

No abstract provided.

Go to article

Expanding Ai Literacy: The 5cs Of News Literacy In The Era Of Generative Ai, Seth Ashley, Adam Maksl, Paul Cook Oct 2026

Expanding Ai Literacy: The 5cs Of News Literacy In The Era Of Generative Ai, Seth Ashley, Adam Maksl, Paul Cook

Journal of Media Literacy Education Pre-Prints

This article adapts the 5Cs framework of news literacy—context, creation, content, circulation, and consumption—to media environments shaped by generative artificial intelligence. We argue that prevailing discussions of AI literacy overemphasize technical or functional competencies while underemphasizing the social, cultural, political, and communicative systems in which AI operates. Drawing on previous research, we define AI literacy as knowledge of the technical, social, and ethical dimensions of AI-mediated content production, distribution, and consumption, along with the critical capacities needed to exercise agency within those processes. We show how the 5Cs can be reinterpreted for generative AI environments and integrate pedagogical implications for …

Go to article

Marjorie Eisenberger Smith Bc 1950 Finding Aid Oct 2026

Marjorie Eisenberger Smith Bc 1950 Finding Aid

Finding Aids

No abstract provided.

Go to article

Identity Verification And Data Processing In Single Interaction, Kiushan Pirzadeh Oct 2026

Identity Verification And Data Processing In Single Interaction, Kiushan Pirzadeh

Defensive Publications Series

A method includes a computer providing an identity information request message to an identity function. The computer receives an identity information response message comprising identity data. The computer verifies that a current user of the computer matches a user of the identity data. The computer provides an update request message comprising the identity data to update an interaction function. The update to the interaction function updates an interaction device associated with the user using the identity data.

Go to article

System, Method, And Computer Program Product For Allocating Computing Resources, Santosh Kumar Kvs Oct 2026

System, Method, And Computer Program Product For Allocating Computing Resources, Santosh Kumar Kvs

Defensive Publications Series

Methods, systems, and computer program products are provided for allocating computing resources.  An example system includes a processor configured to publish a list including a plurality of computing resources associated with a server node and receive, from a plurality of service agent models, a plurality of requests for at least one computing resource, each request associated with a service and including a bid value.  The processor is also configured to determine a capacity value of the server node based on the plurality of computing resources associated with the server node.  The processor is further configured to determine an optimal distribution …

Go to article

Computerized Method For Reverse Logistics Of Medical Devices With Non-Overrideable Safety Blocking, Actual-Cost Valuation, And Atomic Transactions, Alessandro Caccia Oct 2026

Computerized Method For Reverse Logistics Of Medical Devices With Non-Overrideable Safety Blocking, Actual-Cost Valuation, And Atomic Transactions, Alessandro Caccia

Defensive Publications Series

A computer-implemented method is disclosed for managing reverse logistics of medical devices and injectable products with limited remaining shelf life. Each movement is subject to a mandatory safety check per individual unit, designed to operate also in the absence of network connectivity, using a local copy of safety notices. Notices are collected from heterogeneous regulatory sources, with qualified-operator validation for sources lacking a programmable interface, and a two-level block with distinct revocation authorities is applied. In the presence of an active safety notice the product value is zero; otherwise value is calculated from the actual lot purchase price, applying nonlinear …

Go to article

Sensor-Driven Synthesis Of Group-Optimized Models Using Personalized Adapters, Vivek Kushwaha Oct 2026

Sensor-Driven Synthesis Of Group-Optimized Models Using Personalized Adapters, Vivek Kushwaha

Defensive Publications Series

Intelligent agents on shared computing devices, such as smart displays or in-vehicle infotainment systems, may not effectively serve groups of concurrent users, as they can be tied to a single user account or a generic profile, which can limit their ability to adapt to a specific group composition. After obtaining appropriate permissions and consent, the disclosed technology can use on-device sensors, for example, cameras and microphones, to detect and identify multiple users. For each identified user, a corresponding personalized, parameter-efficient adaptation module can be retrieved. These modules may then be dynamically weighted based on real-time contextual signals, such as user …

Go to article

Asymmetric Workload Offloading For Real-Time Media Moderation On A Local Device Network, Vivek Kushwaha Oct 2026

Asymmetric Workload Offloading For Real-Time Media Moderation On A Local Device Network, Vivek Kushwaha

Defensive Publications Series

Real-time media moderation on resource-constrained devices, for example, smart televisions, may present computational challenges, while cloud-based solutions can introduce latency and privacy concerns. A system can distribute computational workloads for content moderation across a local area network, such as a Wi-Fi network. A primary media device can operate a lightweight trigger agent to heuristically scan for potential anomalies in a media stream. Upon detection, a segment of the media may be offloaded to one or more available secondary devices, for instance, smartphones or personal computers, on the network. These secondary devices can perform computationally intensive analysis using advanced models and …

Go to article

Resilient Automated Communication Management Using Limit-Aware Orchestration And Persistence-First Logging, Parnika Singhal, Martin Pauser-Cowman Oct 2026

Resilient Automated Communication Management Using Limit-Aware Orchestration And Persistence-First Logging, Parnika Singhal, Martin Pauser-Cowman

Defensive Publications Series

In some large-scale data processing environments, such as customer relationship management platforms, automated systems for managing inbound communications can be unreliable. These systems, which can be configured to filter non-actionable cases, may fail silently when platform-enforced processing limits are exceeded, potentially leaving cases unresolved and affecting data integrity. A described technology can provide a framework featuring persistence-first logging and limit-aware dynamic orchestration. For example, before analysis, a durable tracking record can be created to facilitate auditability. An orchestration component can then evaluate platform resource availability and select an execution path, such as synchronous, asynchronous, or batch, to help mitigate failures. …

Go to article

Multimodal Generative Biosignal Synthesis Using Continuous-Time Diffusion, Dongeek Shin Oct 2026

Multimodal Generative Biosignal Synthesis Using Continuous-Time Diffusion, Dongeek Shin

Defensive Publications Series

Everyday wearable devices, such as smartwatches, smart rings, and fitness trackers, track valuable health metrics, but analyzing this data becomes tricky when sensors record at different speeds, miss measurements, or get bumped during exercise. Traditional processing methods attempt to fix this by dropping or padding data, which visibly destroys important physiological details. This publication describes a generative artificial intelligence (AI) system that uses machine learning to seamlessly combine health signals recorded at different speeds, automatically reconstruct corrupted data gaps (data imputation), and dynamically generate a biometric profile or digital twin of the user’s physiology to run interactive “what-if” simulations and …

Go to article

System And Method For Recomputation Difficulty Scoring And Cost-Differential Storage Placement For Distributed Ai Pipeline-Execution, Shubham Shivhare, Faiz Ahmed Oct 2026

System And Method For Recomputation Difficulty Scoring And Cost-Differential Storage Placement For Distributed Ai Pipeline-Execution, Shubham Shivhare, Faiz Ahmed

Defensive Publications Series

A system and method for managing intermediate computational states in a distributed artificial intelligence pipeline are disclosed. For each intermediate computational state generated during execution of the pipeline, a recomputation difficulty score is determined based on a plurality of factors comprising a computational cost of regenerating the intermediate computational state, a pipeline latency associated with regeneration, a depth of an upstream dependency chain, a semantic importance of the intermediate computational state, and a likelihood of subsequent reuse. The recomputation difficulty score is mapped to one of a plurality of difficulty classifications, and a storage placement action is selected based on …

Go to article

Cellular Network Failure Diagnosis Using High-Throughput, Low-Latency Lazy Decoding, Longlong Zhu, Allan Ke, Kuo-Yu Huang Oct 2026

Cellular Network Failure Diagnosis Using High-Throughput, Low-Latency Lazy Decoding, Longlong Zhu, Allan Ke, Kuo-Yu Huang

Defensive Publications Series

Conventional diagnostic platforms for diagnosing complex field failures in cellular networks suffer from several drawbacks, such as garbage collection spikes or pauses, memory fragmentation, memory exhaustion, out-of-memory kernel crashes, and/or LLM context-window overflow. This disclosure describes techniques for diagnosing complex field failures in cellular networks by performing high-throughput, low-latency lazy decoding of raw binary trace files. For example, temporal anchors received from an edge device are used to selectively load and parse only the relevant frames of the binary trace file that correspond to the anomaly, bypassing non-relevant protocol frames without payload expansion. Protocol state trees are instantiated within a …

Go to article

Cloud Diagnostic Platform For Wireless Network Failure Diagnosis Utilizing An Asymmetric Edge-Cloud Architecture, Longlong Zhu, Jie Tang, Kevin Tsailin, Vincent Huang Oct 2026

Cloud Diagnostic Platform For Wireless Network Failure Diagnosis Utilizing An Asymmetric Edge-Cloud Architecture, Longlong Zhu, Jie Tang, Kevin Tsailin, Vincent Huang

Defensive Publications Series

This disclosure describes an asymmetric edge-cloud architecture for distributed telecommunication fault diagnosis. Per the techniques, an edge processing terminal processes high-dimensional binary baseband events into a low-dimensional semantic summary and timestamp array associated with an anomaly and sends the data to a cloud-based diagnostic platform server. The server allocates contiguous physical memory pages on-demand using zero-copy memory-mapped file offsets, constrains an LLM-based diagnostic engine via a dynamically structured constraint matrix generated based on target segments of raw binary protocol trace files to obtain an RCA report, and executes an automated diagnostic action, such as transmitting a physical control command to …

Go to article

Real-Time Protocol Stream Triage And Adaptive Log Slicing At Edge Terminal, Longlong Zhu, Weiyue Huang, Li Wang Oct 2026

Real-Time Protocol Stream Triage And Adaptive Log Slicing At Edge Terminal, Longlong Zhu, Weiyue Huang, Li Wang

Defensive Publications Series

This disclosure describes techniques for real-time triage of network anomalies in telecommunication protocol streams and adaptive slicing of binary trace files within an edge terminal. Network anomalies are classified based on a correlation between Layer 1 physical radio performance metrics and Layer 3 protocol state transitions. When a physical channel environmental failure is detected, transmission of diagnostic data is suppressed to save network bandwidth and wear of local flash memory storage. When a protocol stack software defect is detected, a time-bounded log snippet is extracted from a local memory buffer, the log snippet is prevented from being overwritten by subsequent …

Go to article

Automated Power Measurement For Mobile Devices Using Completion Signaling, David Yu Oct 2026

Automated Power Measurement For Mobile Devices Using Completion Signaling, David Yu

Defensive Publications Series

This disclosure describes techniques for automated power measurement for a mobile device. According to the techniques, prior to initiation of the workload, pre-configuration is performed to establish a session identifier (e.g., a 128-bit ephemeral UUID). The device is disconnected from the host system. Turning off wireless interfaces and disconnecting the host system ensures that there is no interference with physical power measurement during workload execution, since the mobile device is physically untethered and operates in an RF-quiet state. A local background process executing on the mobile device detects completion of the workload and causes the mobile device to transmit an …

Go to article

Ranging Technology Transition With Make Before Break, Roshan Pius, James Eidson, Ante Culo Oct 2026

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 …

Go to article

Crystalline Form Of (2s)-2-{[(2s)-1-(2-Aminoacetyl)-2- Methylpyrrolidine-2-Carbonyl] Amino}Pentanedioic Acid And Its Process For The Preparation, Msn Laboratories Private Limited, R&D Center, Hyderabad, India, Srinivasan Thirumalai Rajan, Sagyam Rajeshwar Reddy, Kommera Rajashekar, Kondeti Raju, Kamatam Sathish Oct 2026

Crystalline Form Of (2s)-2-{[(2s)-1-(2-Aminoacetyl)-2- Methylpyrrolidine-2-Carbonyl] Amino}Pentanedioic Acid And Its Process For The Preparation, Msn Laboratories Private Limited, R&D Center, Hyderabad, India, Srinivasan Thirumalai Rajan, Sagyam Rajeshwar Reddy, Kommera Rajashekar, Kondeti Raju, Kamatam Sathish

Defensive Publications Series

The present disclosure relates to crystalline form of (2S)-2-{[(2S)-1-(2-aminoacetyl)-2-methylpyrrolidine-2-carbonyl]amino}pentanedioic acid of formula-1 referred to as Trofinetide, which is represented by the following structural formula.

Go to article

Autonomous Net-Snare Device For Dismounted Soldiers (Ansd), Adam Kwas Oct 2026

Autonomous Net-Snare Device For Dismounted Soldiers (Ansd), Adam Kwas

Defensive Publications Series

A soldier-portable counter-UAS system (targeting FPV-class drones) that integrates passive acoustic detection, automatic net-launcher deployment, and networked squad alerts via a mesh network.

Go to article

Sense-Level Vocabulary State And In-Reading Inference For Assisted Reading: Methods And System, Xiang Wu Oct 2026

Sense-Level Vocabulary State And In-Reading Inference For Assisted Reading: Methods And System, Xiang Wu

Defensive Publications Series

This technical disclosure describes methods and a system for assisted reading of foreign-language text in which a reader's vocabulary knowledge is recorded per word sense rather than per word form. During offline preprocessing, every content-word occurrence in a book is mapped to an ID in a global, incrementally built sense inventory (dictionary defaults for unambiguous words; a language model for the rest, which also reviews the defaults). While reading, the reader clicks the words they do not know in a paragraph and confirms the paragraph; the senses of clicked tokens are recorded as unknown and the senses of all other …

Go to article

Unified Phase-Cycle Model Of Cosmology, Peter Stevenson Oct 2026

Unified Phase-Cycle Model Of Cosmology, Peter Stevenson

Defensive Publications Series

This model explains cosmology without relying on any paradoxes whatsoever. In doing so, it explains most, if not all, unresolved cosmological questions. And it maintains mass energy equivalence, confirming the Law of Conservation.

Go to article

Decoupled Multi-Objective Optimization For Document Generation Using Intermediate Representations, Pinkesh Badjatiya Oct 2026

Decoupled Multi-Objective Optimization For Document Generation Using Intermediate Representations, Pinkesh Badjatiya

Defensive Publications Series

Generating long-form documents from large, diverse data sources can present challenges for some generative systems, which may exhibit unstable optimization and difficulty isolating various error types, such as factual hallucination or poor evidence selection. A disclosed technology can address these potential issues using a decoupled, two-stage framework. An offline stage can perform multi-objective optimization by distilling source data and a candidate draft into intermediate representations for selection salience, informational semantics, style, and factual provenance, which can provide granular feedback for refining generative prompts. In an online stage, these optimized prompts can be compiled for efficient, low-latency document generation. This separation …

Go to article

System For Custom Object Classification, Leonid Kuligin, Thomas Zettl Oct 2026

System For Custom Object Classification, Leonid Kuligin, Thomas Zettl

Defensive Publications Series

Classifying custom, domain-specific object subcategories can present challenges, as retraining classical models may be resource-intensive and using generative models alone might produce unreliable results. A technique is described for a hybrid computational pipeline to address such challenges. For example, a classical object detection model can identify general object categories within an image. These detections may then be filtered according to a user-defined mapping that links general categories to specific, custom subclasses of interest. For remaining candidate objects, a large vision model may generate a textual description, and a large language model can perform a detailed classification against a user's list …

Go to article

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 Oct 2026

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 …

Go to article

System For Ai-Generated Interactive Suggestions On Spatially Annotated Digital Media, Harshita Sharma Oct 2026

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 …

Go to article

Dynamic User Interface Calibration Of An External Display Using A Head-Mounted Device, Vivek Kushwaha Oct 2026

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 …

Go to article

Personalizing A Shared Display Using Context From Egocentric Vision, Vivek Kushwaha Oct 2026

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.

Go to article

On-Device Bidding Protocol For Context-Aware Dynamic Media Stream Sequencing, Vivek Kushwaha Oct 2026

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 …

Go to article

Volume Cxlvi, Number 3, October 9, 2026, Lawrence University Oct 2026

Volume Cxlvi, Number 3, October 9, 2026, Lawrence University

The Lawrentian

No abstract provided.

Go to article

Effects Of A Health Belief Model-Based Educational Programme On Medication Adherence Among Older Adults With Coronary Artery Disease: A Randomised Controlled Trial, Mengai Xu Oct 2026

Effects Of A Health Belief Model-Based Educational Programme On Medication Adherence Among Older Adults With Coronary Artery Disease: A Randomised Controlled Trial, Mengai Xu

Sigma Foundation for Nursing Research Grant Reports

The purpose of this study is to evaluate the effects of a newly designed health belief model-based educational programme on medication adherence among older adults with coronary artery disease.

Go to article

Magnolia Plaza Housing Lp V. Hayslett Oct 2026

Magnolia Plaza Housing Lp V. Hayslett

All Decisions

After a bench trial in a licensee holdover following the death of the prior tenant, the court denied succession to a step-grandson who resided in the project-based Section 8 apartment for six years but was never listed on the household composition. A successor must establish family member status, co-residency, and either compliance with HUD Chapter 3-16(B) household listing requirements or a satisfactory explanation for the omission. The court found testimony about unfamiliarity with the requirement not credible; tenant failed to demonstrate reasonable efforts to be added before his grandmother's death. Final judgment for landlord; warrant issued.

Go to article

First Prev Next Last