Digital Commons Network^™

The Shorthorn: February 8, 1980

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: February 6, 1980

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: February 1, 1980

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: February 5, 1980

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: January 31, 1980

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: January 30, 1980

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: January 29, 1980

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: January 25, 1980

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: January 24, 1980

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: January 23, 1980

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: January 22, 1980

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: January 18, 1980

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: January 17, 1980

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: January 16, 1980

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

The Shorthorn: January 15, 1980

The Shorthorn Newspaper Collection: 1980s

No abstract provided.

Open Pedagogy In Practice: Using Shareable Consultation Worksheets To Promote Equitable Research Learning, Stephanie E. Ard

All Things Open

One-on-one library research consultations provide valuable support, but it can be challenging for students to recall everything discussed once the meeting is over. To help students continue building their skills after a session, I created a shared, editable online worksheet that captures search strategies, keywords, potential resources, and next steps in one document. Students retain access to their worksheets in Microsoft OneDrive and can choose to share them with peers, allowing the documents to function as open, reusable learning tools that support transparency, student agency, and ongoing engagement, particularly for those who may not be able to return for a …

At-Home Computational And Data Literacy For Pre-K–5 Students: A Review Of The Literature, Marc Sager, Sarah Miller, Zarek Drozda

Journal of Educational Research and Practice

This systematic review investigates best practices for promoting data literacy development in pre-K–5 learners, with a specific focus on caregiver involvement in at-home learning environments. A comprehensive search and screening process identified 42 studies for inclusion. The studies were analyzed to determine effective strategies for fostering early data literacy. Key findings emphasize (1) early, developmentally appropriate engagement with attention to equity; (2) core learning outcomes in computational and data literacy; (3) learning approaches integrating real-world contexts and hands-on experiences; (4) balanced use of digital tools and unplugged activities; and (5) essential parental and caregiver involvement. The review highlights integrating data …

Jumping Into The Deep End: Lessons Learned From Editing A Book About Open Movements, Abbey K. Elder, Bryan T. Ricupero, Shannon M. Smith

All Things Open

In 2023, we had a great idea: let’s make an open access book about open movements! Little did we know, this experience would change us all as we learned and grew alongside the authors who contributed to our volume, Open Movements: Recognizing Challenges and Building Connections.

Open Movements is about a lot of things: it’s about the institutional initiatives that support open scholarship, the vendors and programs that connect practitioners to the ideals of openness, and the barriers we run into when we try to communicate all that “Open” can be. Despite coming from separate institutions with backgrounds spanning …

Remixing Labor: The Lockean Proviso In The Age Of Ai, Xavier Schultze

Midwest Ethics Symposium

No abstract provided.

Model-Based Semantic Expansion Of Text Selections With Multi-Tiered Visual Rendering, Jerome Miglino, Brendan Hickey, Will Leszczuk, Mj Shi

Defensive Publications Series

Systems for contextual text analysis can provide results based on a user's selection but may lack transparency in their reasoning. This can be a challenge when a system misinterprets the semantic context of an ambiguous word or phrase. A described technique can address this by using a machine learning model to analyze a user's initial text selection along with its surrounding text. The model can predict an expanded, semantically coherent conceptual unit that may represent a user's likely intent. This system-generated expansion can be displayed to the user, for example, through a multi-tiered visual rendering that distinguishes it from the …

In-Application Transaction Retries For Failed Online Merchant Payments, Nishank Jain, Amish Patel, Vineeth Kumar, Sanket Jain, Varun Gupta, Abhishek Tyagi, Yogesh Agrawal, Piyush Ramuka, Prerna Singh, Paridhi Rawat

Defensive Publications Series

In online payment systems, even retryable transaction failures, such as an incorrect personal identification number entry, result in a failure on the payment app, requiring the user to restart the payment journey from the merchant checkout surface and contributing to transaction drop-off rates. A deferred notification strategy can be used to manage these failures. For example, upon a retryable failure, a user's payment application can signal the retryable nature of the error to the payment aggregator. The aggregator may then withhold the failure notification from the merchant for a configured time window. This approach provides the user an in-application opportunity …

Dynamic Reward Synthesis Via Contextually Weighted Objective Attribute Raters, Agoston Weisz, Roman Goldenberg, Evgeny Sluzhaev

Defensive Publications Series

Reinforcement learning for fine-tuning generative models can be negatively impacted by noisy reward signals from single-score automated evaluation systems, which may lead to training instability and unpredictable model improvements. A framework for dynamic reward synthesis addresses this by decomposing high-level concepts into discrete, objective attributes. By evaluating these attributes individually and weighting them based on the context of the input, the system produces a reward signal that is more stable, interpretable, and aligned with specific goals.

Predictive Computational Arbitrage And Dynamic Resource Allocation In Heterogeneous Networks, Aura Yavary

Defensive Publications Series

A system and method for dynamic allocation of computing resources across local and remote environments based on task complexity and resource availability are described. The approach involves evaluating an input using a probe model to determine a difficulty score and complexity tags. Based on this evaluation, the system isolates the input into individual semantic shards for processing across a heterogeneous network of computational targets. A compute bill of materials is generated to optimize cost and quality, matching specific shards with appropriate models, quantization precision levels, energy limits, and hardware targets. The architecture includes a semantic atomizer for parsing inputs, a …

Gci #285 – Hyperion Seed Accelerator V3.3: Multi‑Modal Acoustic–Nanobubble Seed Priming Platform For High‑Value Crops, Fruit Trees, And Reforestation, Michael Victor Caldwell Mr.

Defensive Publications Series

GCI #285 – Hyperion Seed Accelerator v3.3 is an open‑hardware, multi‑modal seed‑priming platform integrating dual‑frequency ultrasound, nanobubble oxygenation, mechanical stimulation, and direct‑to‑soil rooting to accelerate germination and improve early vigor in high‑value crops, fruit trees, and reforestation species.

The system combines:

• 20/60 kHz ultrasound for seed‑coat weakening and accelerated water uptake,

• a vortex‑driven nanobubble generator for enhanced dissolved oxygen delivery,

• a 55N tensioned Arachne substrate for uniform low‑frequency mechanostimulation, and

• a mycorrhiza‑rich soil buffer enabling immediate root anchoring with zero transplant shock.

Based on published ultrasound and nanobubble research, Hyperion targets 15–30% faster germination, 5–20% higher …

Ai-Powered Socratic Dialogue System For Collaborative Problem Solving, Tamar Yakar

Defensive Publications Series

Complex problem-solving often faces limitations when automated tools provide immediate answers, which can bypass the critical thinking and reflection necessary for addressing intricate challenges. A method is disclosed for an interactive dialogue system that employs Socratic questioning to guide users through the cognitive process of problem resolution. The disclosed technology comprises a problem decomposition engine, an assumption identification module, and a persona-based perspective generator. These components are integrated with a first-principles thinking mode and a dynamic cognitive map visualization that tracks the structure of the dialogue. By systematically challenging underlying assumptions and breaking down complex issues into fundamental elements, the …

Data Distillation Pipeline For Principle-Guided Personalization In Large Language Models, Hugo Lopes, Yang Zheng, Mugurel-Ionut Andreica, Jeffrey Dudek, Cheng Li

Defensive Publications Series

Personalized large language models often exhibit defects such as the overuse of irrelevant user information, unnatural data formatting, and intrusive or repetitive name usage. These issues typically arise from a failure to prioritize relevant context or to integrate user data naturally into responses. A data distillation pipeline is disclosed to address these limitations by generating high-quality supervised fine-tuning examples. The method utilizes a “persona bank” to generate user prompts and profiles, followed by the generation of multiple responses guided by specific personalization principles. These guided responses are evaluated alongside a baseline unguided output using a side-by-side comparison. Training data is …

Harmonic Vector Equilibrium: A Unified Integer-Based Framework For Control, Navigation, And Communication On The Cuboctahedral Matrix, Olexandr Lozovyi

Defensive Publications Series

This disclosure presents an integer-based spatial and phase control framework (HVE) designed for embedded systems and actuators. The method replaces conventional floating-point arithmetic and 360-degree metrics with a base resolution of L = 27720. This metric, being the Least Common Multiple (LCM) of integers 1 through 12, guarantees exact integer division for complex mechanical gear ratios and spatial subdivisions.

The framework eliminates progressive floating-point phase drift and provides a computationally lightweight, pure-integer control law suitable for resource-constrained microcontrollers. The mathematical principle is inherently scalable to higher-precision systems (32/64-bit) for cross-disciplinary applications, including Magnetic Resonance Imaging (MRI) spatial encoding, non-invasive neuromodulation …

Thermally Stable Multilayer Coating With A Diffusion Barrier For Interference Colors, Marco Zhou, Damon Guo

Defensive Publications Series

Multilayer coatings used to create decorative interference colors may experience color degradation when thermally reactive metallic layers, such as copper and aluminum, are subjected to high-temperature manufacturing processes. This can cause atomic diffusion and the formation of intermetallic compounds that may alter the optical properties of the stack. To mitigate this, a separating layer, for example a thin film of niobium, can be incorporated between the reactive metallic layers during fabrication. This separating layer can function as a diffusion barrier to obstruct atomic migration at elevated temperatures. By inhibiting the formation of intermetallic compounds, the barrier layer may help preserve …

Automated Synthesis Of Disparate Product Feedback Using A Contextual Knowledge Base, Michael R. Fitzpatrick, Kanupriya Singhal, Steve Ganem, Jian Yao

Defensive Publications Series

Organizations can face challenges in processing large volumes of diverse product feedback from disparate sources, such as in-product forms and social media platforms. Manual analysis can be slow and difficult to scale, while some text summarization tools may lack the product-specific context to generate actionable insights. This disclosure describes systems and methods for automated feedback analysis that can utilize a data processing pipeline to ingest and standardize user feedback. An analytical engine, which may employ machine learning models, can operate in conjunction with a product-specific contextual knowledge base to classify feedback, generate narrative summaries, and perform sentiment analysis. This approach …

Terra2 Addendum 6 Svru4 Cascade Condensation And Diurnal Thermal Loop (Revised), Vesa Olavi Lius

Defensive Publications Series

This Addendum formally discloses three novel extensions to the ALLFROMAIR® TERRA² Tri-Generation Platform, with thermodynamically verified calculations for Desert (40°C/30%RF) and Tropical Max (40°C/80%RF) climate scenarios.

The first disclosure — SVRU4 Cascade Condensation — establishes a fourth condenser unit (SVRU4), constructed identically to SVRU1 (Heresite P-413, 316L SS), positioned after SVRU3 in the exhaust air stream. SVRU4 condenses moisture from the saturated exhaust (32–34°C/100%RF) using seawater or a pre-cooled buffer as cold medium, producing an additional 99,700–280,000 L/day in desert and 213,000–322,000 L/day in tropical conditions depending on cold medium temperature. This gain applies in both Mode A and Mode …