Digital Commons Network^™

The Shorthorn: September 6, 1984

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

Lengua, Conocimiento Y Continuidad Cultural: Contextos De La Educación Avanzada Del Maya Kaqchikel, José Israel Herrera

Journal of Maya Heritage

Resumen. La revitalización de las lenguas indígenas ha dejado de concebirse exclusivamente como una estrategia de preservación lingüística para convertirse en un campo de reflexión sobre la continuidad de los sistemas de conocimiento, las pedagogías comunitarias y la diversidad epistémica. En este contexto, el presente ensayo analiza Kik'aslemal ri Kaqchikela': An Advanced Kaqchikel Maya Language Textbook como una propuesta educativa que trasciende la enseñanza avanzada del idioma kaqchikel para constituirse en un modelo de producción comunitaria del conocimiento. A partir del diálogo con la literatura sobre epistemologías indígenas, antropología lingüística y revitalización lingüística, se sostiene que la organización temática …

Exploring The Interactions Between Student–Teacher Relationships, Teacher Passion, And Student Intrinsic Motivation: A Critical Examination Of The Hierarchical Model Of Inspirational Teaching, Stephen W. Rowcliffe

Plymouth Interdisciplinary Education Open Journal

This study critically examines the Hierarchical Model of Inspirational Teaching (Rowcliffe, 2022), a conceptual framework proposing that pedagogical competence, student-teacher relationships, and teacher passion are associated with student intrinsic motivation. Although the model has previously been presented conceptually, it has not been subjected to quantitative scrutiny.

Data were collected from 369 students and 33 teachers across two international post-16 schools. Student questionnaires assessed perceptions of student-teacher relationships, teacher passion, and intrinsic motivation, while teacher questionnaires examined burnout. Exploratory and confirmatory factor analyses were used to examine construct structure, followed by correlation, regression, and mediation analyses to explore relationships among variables. …

Expanding The Cognitive Attentional Standards Platform Through Artificial Influence Assessment (Aia): Rationale, Development, And Measurement Design, Delante Clark

Graduate Scholarship and Creative Works

Artificial intelligence is increasingly shaping how individuals access information, make decisions, and interact with digital environments. The Cognitive Attentional Standards Platform (C.A.S.) was developed to assess attention related harms, cognitive safety, digital autonomy, and platform influence across digital systems (Clark, 2026). However, the growth of generative AI, conversational agents, and algorithmic decision support technologies has introduced new forms of influence that may not be fully captured by existing assessment domains. This paper proposes the Artificial Influence Assessment (AIA) as an expansion of the C.A.S. framework designed to measure AI mediated influence on cognition, behavior, autonomy, and information processing. Drawing on …

Governing Algorithmic Attention: Attention Safeguard Models And The Cognitive Attentional Standard As System Level Interventions In Human Computer Interaction, Behavioral Economics, And Artificial Intelligence, Delante Clark

Graduate Scholarship and Creative Works

Algorithmic recommendation systems and interface designs shape attention by combining visually salient cues with uncertain reward timing and low friction interaction. These conditions can sustain anticipatory checking, extend time on task, and reduce natural disengagement points through patterns such as infinite scrolling and autoplay. This paper synthesizes research across neuroscience, human computer interaction, behavioral economics, and artificial intelligence to argue that attention capture is a predictable outcome of incentive driven design rather than an individual failure of self regulation. It advances the Attention Safeguard Models and the Cognitive Attentional Standard as system level interventions that regulate exposure conditions, pacing, and …

A Stochastic Maximum Principle For Singular Mean-Field Regime-Switching Optimal Control, Maalvladedon Ganet Some, Edward Korveh

Journal of Stochastic Analysis

In this paper, we investigate a mean-field singular stochastic optimal control problem for systems governed by mean-field regime-switching singular stochastic differential equations. The state process is assumed to depend on both a regular and a singular control, and the coefficient associated with the singular component is allowed to be regime dependent. We derive both necessary and sufficient singular stochastic maximum principles. Because the regular control domain is not assumed to be convex, we employ the spike variation technique and obtain the necessary maximum principle by introducing a second-order adjoint process. As an application, we use the main theoretical results to …

Review Of Effective Intercultural Evangelism: Good News In A Diverse World, Authored By Moon And Simon, Terri Champion

Witness

No abstract provided.

Multi-Modal Cross-Platform Recommendation System With Aggregated Social Context Signals, Anonymous

Defensive Publications Series

Systems and methods are described for cross-platform, social-context-aware product recommendation. Interaction signals associated with a user are aggregated across multiple applications and normalized into features used to populate an inspiration graph representing entities and relationships reflecting user interests and context. A conversational shopping mode receives multi-turn requests and constraints and may accept multi-modal inputs such as room, wardrobe, or invitation images. Candidate products are retrieved from one or more catalogs and ranked using features derived from the inspiration graph and, when provided, the multi-modal inputs. In some embodiments, a trend momentum score is computed from velocity and recency of style …

Protocol Bridge Architecture For Chat-Directed Cloud Ai Agent Access To Local Application Interfaces With Knowledge Base Integration, Anonymous

Defensive Publications Series

A cloud-enabled, chat-controlled architecture provides remote AI agent access to a local desktop design application through a protocol bridge. A plugin running inside the desktop application connects to a locally executed bridge service using WebSocket and executes commands via an internal plugin API with deep read/write support, including complex assets such as images and fonts. A cloud-hosted agent receives natural-language instructions from a chat platform, retrieves context from an external knowledge base and optionally a brand asset pipeline, generates structured tool commands subject to design-system constraints, and sends the commands as HTTP requests to the local bridge. The bridge translates …

Automated Insights Generator, Anonymous

Defensive Publications Series

An automated insights generator coordinates multiple specialized AI agents to conduct autonomous, iterative exploratory analysis from a single prompt. A central orchestrator executes outside a large language model (LLM) and manages persistent state, tool invocation, and repeated looping by rotating LLM sessions to avoid context exhaustion. A topic discovery agent monitors leadership communications to populate and prioritize a backlog of unaddressed analysis topics. An exploratory analysis agent executes a codified multi-phase methodology using organizational data tools such as SQL engines, experimentation platforms, metric systems, and visualization services. Outputs are cross-checked by a data validation agent against approved dashboards and canonical …

Pareto Beam Search, Anonymous

Defensive Publications Series

Techniques are described for multi-objective beam search in generative retrieval systems that autoregressively generate semantic identifiers across multiple codebook steps. Each beam carries a vector of objective scores, such as relevance, diversity, freshness, and business value. At each decoding step, candidate beam extensions are evaluated and pruned by Pareto dominance using non-dominated sorting to form fronts. Beam selection proceeds by taking fronts in order until a beam budget is reached, and crowding distance is used to select among candidates within a front to promote spread across objective space. In some implementations, each beam also carries a preference vector used to …

Active-Feedback User Simulation Agent For Bidirectional Content Retrieval In Recommendation Systems, Anonymous

Defensive Publications Series

Techniques are described for bidirectional candidate generation in a recommendation pipeline using an active-feedback user simulation agent. An initial candidate set is retrieved using one or more retrieval paths. A user digital twin consumes a live session state, including an emotional-state embedding, and evaluates the candidates by predicting a session trajectory. When the predicted trajectory indicates low engagement, disengagement risk, or a coverage gap between predicted preference and available candidates, the agent generates a structured, machine-readable retrieval query (e.g., topic, content-type, social, negative, emotional, or mixing requests). A query handler executes the query to obtain additional candidates, forming an expanded …

Multi-Root Trust Chain Management For Secure Boot Firmware Development And Signing Infrastructure, Anonymous

Defensive Publications Series

Techniques are described for managing multiple secure-boot trust chains for firmware development and release on devices that support multiple hardware roots of trust. A provisioning pipeline generates a device configuration image that activates a selected non-production root index and is cryptographically bound to a device identifier such as an SoC serial number. The configuration image is signed using a production root to bootstrap trust, and activation may be policy-gated and generated in an event-driven manner with storage for fast retrieval. A signing service, backed by hardware security modules, signs firmware artifacts via authenticated service-to-service RPC and supports build-time selection between …

Quorum-Certified Partial State Recovery In Replicated Distributed Systems, Anonymous

Defensive Publications Series

A replicated state machine maintains a quorum-attested committed-state shadow in addition to a consensus-replicated durable log. The shadow is organized into serviceable units (e.g., ranges, shards, or object groups) and includes, per unit, a log term/index through which the unit is safe and a deterministic digest of unit state, optionally with predecessor linkage, coverage metadata, and replica attestations. After leader failover, a replacement leader exchanges shadow records or attestations with followers and computes certified recovery frontiers per unit. In partial-recovery mode, a request gate permits reads from the shadow for certified units and may admit writes for certified units into …

Ai-Driven Contextual Terminology Definition Generation For User Interface Elements, Anonymous

Defensive Publications Series

Systems and methods generate contextual, in-product definitions for domain terminology displayed in user interfaces. A client renders an annotated term and, upon a user click, sends the term and UI context to a backend definition service. The service checks a cache keyed by the term and context; when available, a cached definition is returned. Otherwise, the service invokes a language model with references to authoritative knowledge sources and an output contract requiring a definition of 20 words or fewer and a learn hyperlink to a wiki page that defines the term. The definition and hyperlink are presented via a standardized …

Distributed Reconfigurable Logic Cells For Zero-Respin Post-Tapeout Silicon Defect Recovery, Anonymous

Defensive Publications Series

Distributed reconfigurable logic cells are integrated across a system-on-chip and/or multi-chiplet package to enable post-tapeout remediation of defects in hardened circuitry without redesign. Small micro-FPGA cells are placed proximate to selected hardened IP blocks and coupled via local interfaces and steering circuitry. After fabrication, a configuration controller programs one or more proximate cells at boot time and/or runtime with remedial logic that replaces, augments, or bypasses defective behavior, and activates routing/steering to apply the fix. Unused cells may be power-gated or clock-gated to reduce static and dynamic power. The cells may also be repurposed for debug, test, monitoring, security patches, …

Smart Composer With Graduated Ai Engagement Modes For Business Customer Conversations, Anonymous

Defensive Publications Series

A business messaging smart composer provides a composer-native mode switcher for selecting a thread-specific level of AI participation. A selected mode persists per conversation thread and controls AI behavior. In a manual mode, the user composes messages without AI draft insertion. In a suggested mode, an AI-generated suggested reply card presents a preview that can be tapped to load content into the composer for editing prior to user-authorized sending, with a coaching card shown when no useful suggestion is available. In an AI reply mode, AI-generated replies are automatically sent, with handoff to a human user when handling criteria are …

Adaptive Real-Time Video Communication With Latency-Aware Codec Selection And Asymmetric Codec Design, Anonymous

Defensive Publications Series

Techniques for adaptive real-time video communication are described. A device capability classifier, optionally based on a machine-learning model, determines codec eligibility beyond static device attributes. During a session, an endpoint measures encoding latency to adjust encoder complexity presets and to switch from a higher-complexity codec to a lower-complexity codec when real-time criteria are not satisfied. A receiving endpoint measures decoding latency and can signal the sender to change codec or configuration responsive to receiver-side performance. The techniques also support asymmetric operation in which an endpoint transmits using a first codec while receiving using a second codec. Additionally, temporal layering is …

Stochastic Codebook Nearest-Neighbor Decoding For Robust Digital Watermark Recovery, Anonymous

Defensive Publications Series

Systems and methods are disclosed for recovering invisible digital watermark messages from modified media using database-backed nearest-neighbor decoding. An embedding subsystem generates an n-bit binary message sampled uniformly at random, embeds the message into a media item using a watermark encoder, and stores an association between the message and a content identifier in a message database. A decoding subsystem extracts a noisy n-bit message from a candidate media item, performs a Hamming-distance nearest-neighbor search over stored messages to obtain a closest stored message and distance, and applies threshold-based decision logic to determine a match. A two-threshold policy may trigger optional …

Autonomous Configuration Parameter Range Discovery And Optimization Using Co-Located Runtime Feedback, Anonymous

Defensive Publications Series

A configuration intelligence layer (CIL) is executed as a companion process co-located on the same computing node as a target configurable application. The CIL locally ingests a parameter schema that includes declared parameter ranges and current values, and locally monitors runtime key performance indicators and error/event streams with low latency. Using closed-loop optimization, the CIL iteratively adjusts parameter values and detects boundary-limited optimization when improvement trends are constrained at a declared minimum or maximum. Under safety controls such as canary application, change budgets, and rollback on error thresholds, the CIL explores beyond declared bounds to gather operational evidence. The CIL …

Human Artfully Crafted Intellegence .Haci, David Lee Wise

Defensive Publications Series

human artfully crafted intellegence .haci extended mark up language.

Human Artfully Crafted Intellegence Namespace, David Lee Wise

Defensive Publications Series

Human artfully crafted intellegence namespace is a family of human ai collab interpreter languages.

Service-Aware Dynamic Voltage And Frequency Scaling Via Thread Attribution And Synchronous Lock Interception, Vadlamudi Venkata Girish

Defensive Publications Series

In mixed-criticality computing systems, latency-critical services can be delayed when lower-priority tasks hold shared resource locks, causing a priority inversion.  Software that performs aggregate-based power scaling responds more slowly to these events than hardware.  This publication describes a service-aware power management architecture that utilizes synchronous lock interception and hardware-assisted thread profiling to resolve resource contention.  An event-driven interceptor monitors synchronization primitives to detect when a critical task is blocked by a lower-priority thread.  Before altering a power state of the lower-priority thread, however, the system queries hardware performance counters to verify that the blocking task is compute-bound rather than memory-stalled. …

Resource-Provider Rbac For Multi-Domain Ai Platforms, Gustavo Matthew Assuncao

Defensive Publications Series

Flat role-based access control — admin / user / viewer — does not scale to a platform hosting many independently-developed domains (CRM, communications, finance, documents, AI personas) that appear and disappear at runtime and share resources across domain boundaries. Hardcoding a capability map forces a code deploy for every new permission; scattering per-domain access-control lists duplicates safety-critical logic and drifts. This publication describes a resource-provider RBAC model for AI-agent platforms in which each domain module registers its own resource catalogue at boot — resource types, each with a set of actions and a schema — into a central registry. Every …

African Americans’ Perceptions And Experiences Of Aesthetic Environments As A Determinant Of Stress, Clarence Gardener

Walden Dissertations and Doctoral Studies

No abstract provided.

Interview With Orca Award Winner Ross Thompson, Unl Psychology; Childhood Emotional Development, Mark Griep, Ross Thompson

UNL ORCA Interview Series

Ross Thompson was awarded the ORCA in 2000. He was born in 1954 in Madison, Wisconsin. He traveled nearly 2000 miles west to earn a bachelor’s in psychology magna cum laude from Occidental College in Los Angeles. Then, he traveled east over 2200 miles to earn a master’s and doctorate in psychology at the University of Michigan in Ann Arbor. In 1981, he joined the University of Nebraska-Lincoln as an assistant professor of psychology and rose quickly through the ranks while studying childhood emotional development. In 2003, three years after earning the ORCA, Ross left UNL to join the psychology …

Environmental Tolerances And Habitat Association Of Three Endemic Crayfish Species In Texas, Andrew Walker

Biology Theses

Little is known about many of the 52 crayfish species in Texas. This thesis investigates physiological tolerances of three species endemic to the Jackson Vale ecoregion of Southeast Texas, the Bastrop crayfish (Procambarus texanus), Nueces crayfish (Procambarus nueces), and the Fayette’s crayfish (Procambarus fayettei) as well as the White River crayfish (Procambarus acutus), which is ubiquitous throughout East Texas. Thermal, hypoxia, and acidity tolerances were tested on wild caught individuals through laboratory assays. Findings from this study will inform wildlife managers of future conservation strategies relating to these endemic species.

Effective Strategies For Improving Communication In Organizations That Hr Leaders Use To Increase Employee Productivity, Susan Dean

Walden Dissertations and Doctoral Studies

No abstract provided.

Customer Engagement Strategies Among U.S. Food Service Leaders In The Postpandemic Digital Era, E'Yanna Yvette Davis

Walden Dissertations and Doctoral Studies

No abstract provided.

Review And Analasys Of Explainable Artificial Intelligence Applications In Distributed Systems And Microservices, Latafat Abbas Gardashova, Allahshukur Mirzazada

Chemical Technology, Control and Management

The widespread use of AI systems in important infrastructure, it's very important that algorithmic decision-making processes are clear and easy to understand. Explainable Artificial Intelligence (XAI) has emerged as a vital research domain addressing the opacity in contemporary machine learning models, particularly deep neural networks, which function as inscrutable black boxes. This literature review provides a comprehensive examination of XAI methodologies and their applications in distributed systems, with a particular emphasis on microservice architectures. The review compiles contemporary taxonomies of XAI methods and elucidates the fundamental strategies that facilitate the comprehension of models across various computing environments. This study also …