Digital Commons Network^™

Method Of Manufacturing Devices With Surface Patterns

Defensive Publications Series

The subject disclosure is directed to a method of manufacturing eyewear devices with surface patterns, which are cost effective and suitable for smart devices such as smart eyewear including electronic circuitry

Project Sentinel‑Andes Dual‑Platform Concept: A Study‑Only Open‑Hardware Architecture For Rapid Andv Research Diagnostics And Extracorporeal Host‑Response Modulation Concepts, Michael Victor Caldwell Mr.

Defensive Publications Series

This document presents a study‑only, conceptual, open‑hardware systems design created for professional evaluation during the 2026 Andes hantavirus outbreak. It describes two independent research concepts:

1. A multiplex nucleic‑acid detection research cartridge using chemical lysis, magnetic silica bead cleanup, isothermal amplification, and CRISPR‑Cas detection with triplex logic (ANDV S‑segment, pan‑hantavirus L‑segment, synthetic RNA internal control).

2. A modular extracorporeal adsorption cartridge concept using TPMS gyroid geometry with a primary cytokine‑adsorption layer and an optional, highly speculative viral‑decoy layer.

This disclosure is not a medical device, not validated, and not intended for clinical use. No safety, efficacy, or performance is claimed. All biochemical, …

Adaptive Development, Security, And Operations And Machine Learning Operations Pipeline System For Intelligent Processing Of Ai-Generated Artifacts, Kirti Sachin Rasal

Defensive Publications Series

Proposed herein is an adaptive development, security, and operations (DevSecOps) and machine learning operations (MLOps) pipeline system that can transform how organizations deliver Artificial Intelligence (AI)-generated software by embedding intelligence, security, and governance directly into the development lifecycle. Instead of treating AI-generated code and models as static artifacts, the system continuously analyzes their behavior, provenance, risk, and compliance posture. By combining ML–driven risk assessment, continuous security enforcement, and automated policy governance, the platform dynamically adapts testing, deployment, and approval workflows in real time. This ensures that only trustworthy, compliant, and high-quality AI artifacts reach production. The result is a unified …

Persona-Based Style Selection And Visual Feedback For Large Language Model Outputs, Gulmohar Khan

Defensive Publications Series

Large language models currently require extensive and nuanced textual prompting to achieve specific styles, tones, or narrative structures in generated content. Conveying these attributes through text alone is often difficult and requires iterative refinement by the user.

This disclosure describes a method for defining the style and narrative of generated content using non-textual inputs. A library of predefined personas, each associated with specific stylistic attributes and vocabulary, is provided for selection. Upon selection, the persona is represented by a visual color gradient and a summary of its core attributes. The generated output is further enhanced with color-coded visual feedback, where …

Generating Geospatial Visualizations Using Generative Artificial Intelligence, Carsten Isert, Manuel Bertrand Cabral, Simon Lynen, Matthew Strosnick, Michelina Mary Galligan Pallone

Defensive Publications Series

This disclosure describes systems and methods for generating geometric details for digital maps. Some existing cartographic rendering systems may rely on interpolation from schematic data, which can result in visual inaccuracies when representing certain geographic features. The described technology can utilize generative artificial intelligence models to generate geometric primitives, such as polygons and polylines, that represent fine-grained map details. These models can be conditioned on both semantic map data and real-world geospatial data, for example, aerial or ground-level imagery. By generating vector graphics for map features and storing them in a discrete presentation layer, this approach can facilitate the creation …

Real-Time Bio-Adaptive Audio Modification Using Predictive Analysis And Generative Re-Synthesis, Nikhil Kumar

Defensive Publications Series

A described real-time, bio-adaptive audio modification system can operate on a consumer device, such as a smartphone, tablet, or wearable device. The system may use a multi-stage artificial intelligence pipeline to predict potentially startling events from concurrent video and audio streams. It can then use generative source decomposition to isolate a specific sound and apply neural re-synthesis to transform its acoustic characteristics into a form with a potentially reduced physiological impact. System intervention can be dynamically modulated by real-time biometric data from a user, such as heart rate variability, which can provide a proactive, personalized method to reduce physiological responses …

Edge-Computed Dynamic Licensing Using Generative Perception And Agentic Resource Settlement, Nikhil Kumar

Defensive Publications Series

Some digital rights management systems can employ static, user-based licenses that may not fully account for dynamic viewing environments, such as the number of viewers present. An edge computed system can operate locally on a client device, for example, a smartphone, a smart television, or a wearable device. The system may utilize a generative perception engine to analyze multi-modal sensor data, which can generate an anonymized textual description of the viewing scene and perform liveness detection. A dynamic smart contract engine can then synthesize a machine-readable session license based on this real-time contextual information. An autonomous agentic settlement system may …

Letters, Mark D. Martin

Lloyd Clark Papers

Letter to Lloyd C. Clark from Mark D. Martin, Vice President of Development at The University of Texas at Arlington, regarding the Century II Society Donor List, and a correction form. Response letter from Lloyd, listing his previous contributions to The University.

Letter To Tamela, Lloyd C. Clark

Lloyd Clark Papers

Letter to Tamela Herczeg, Executive Director of the UTA Alumni Association, from Lloyd C. Clark, with a nomination form to the Alumni Association Board of Directors, for John Eugene McKee, photograph, bio, and letter from him to Lloyd.

Letter And Form, Tamela Herczeg

Lloyd Clark Papers

Letter to Lloyd C. Clark from Tamela Herczeg, Executive Director of the UTA Alumni Association, regarding the new Alumni Directory. UTA Alumni Association Directory Questionnaire form completed by Lloyd C. Clark.

Articles, Lloyd C. Clark

Lloyd Clark Papers

Newspaper articles and excerpts, from 1947, written by Lloyd C. Clark.

Form And Check, Lloyd C. Clark

Lloyd Clark Papers

Century II Society Donor List form completed by Lloyd C. Clark, with attached check for $150 as a contribution to the annual fund.

Volume 31

Articulāte

No abstract provided.

The Streamlined Illusion: Addressing Progress And Superficiality In U.S. Industrial Design, Misha Maryan

Articulāte

No abstract provided.

A Self-Improving Ai System For Phonetic Name Resolution Via A Closed-Loop, Multi-Modal, Automated Learning Architecture, Puneet Shrivastava, Rajarshee Dhar, Ram Mohan R, Gergely Lukacsy

Defensive Publications Series

Proposed herein are techniques that can facilitate transforming today's "tone-deaf" and static artificial intelligence (AI) receptionists into a self-improving, intelligent system purpose-built for seamless and accurate caller routing in the enterprise. The proposed system introduces a dynamic conversational engine that uses just-in-time (JIT) vocabulary injection for real-time accuracy, an automated learning pipeline that learns from every human-led correction, and a multi-modal fusion engine that intelligently weighs phonetic, acoustic, and contextual signals. This approach empowers enterprises to eliminate caller frustration, drastically improve name recognition accuracy, and bridge the dangerous gap between a caller's intent and an automated system's ability to understand …

Gci-302 — Vascular Leak Stabilization Envelope (Vlse-1), Michael Victor Caldwell Mr.

Defensive Publications Series

The VLSE-1 (Vascular Leak Stabilization Envelope) is a conceptual laboratory-only extracorporeal flow-conditioning and staged adsorption cartridge architecture intended for benchtop investigation within ECMO-style circulation loops.

The proposed system is designed to explore whether ultra-low-shear blood-flow conditioning combined with progressive inflammatory adsorption zones can produce more stable fluidic behavior than conventional abrupt high-resistance adsorption cartridges.

The architecture integrates:

• low-shear inertial flow conditioning,

• staged adsorption regions,

• clot-localization geometry,

• passive thermal stabilization,

• microbubble separation,

• passive zero-energy bypass logic,

• ECMO-compatible flow-path concepts,

• progressive saturation behavior.

Unlike aggressive purification systems, the VLSE-1 concept prioritizes:

• flow continuity,

• hemocompatibility,

• pressure stability,

• predictable degradation behavior,

• preservation of formed …

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Control Software Lifecycle Management, Anonymous

Defensive Publications Series

Control software goes through multiple changes by different people at various phases during its lifetime from design to commissioning to operation to end of life. These frequent software changes make it difficult to track, validate, and maintain consistency. There is no Versioning system to track all the changes contextually. Failures due to software quality issues are often addressed reactively. A Sophisticated versioning system will be of interest to cater Software Quality. Commercial systems like GIT are not designed for Control Software.

Self-Calibrating Product Adoption Measurement System, Chady Saad, David Wolder, Bruce Mcmurdo, Ravi Garg, Tim Barnes

Defensive Publications Series

Proposed herein is a self-calibrating system for measuring product adoption that continuously adapts how adoption is interpreted as customer behavior, peer usage patterns, and product capabilities evolve. Rather than relying on static thresholds or manually defined success criteria, the system dynamically evaluates feature enablement and engagement relative to cohort behavior and customer-selected outcomes. The resulting adoption measurements provide an objective, context-aware view of true adoption progress that remains accurate as products and customer usage mature over time by dynamically recalibrating milestone thresholds and cohort baselines from live peer telemetry distributions.

When The Second Amendment Meets The Third Dimension: Bruen In The Age Of 3d-Printed Firearms, Andrew Touma

Duke Journal of Constitutional Law & Public Policy Sidebar

3D-printed firearms pose a serious threat to the public by allowing individuals to circumvent traditional regulatory safeguards. Although the first shot from a 3D-printed firearm was over a decade ago, these weapons continue to exploit gaps in the federal regulatory scheme. In the meantime, state governments have adopted a variety of approaches to regulating 3D-printed firearms. As 3D printing pushes firearms technology into the future, the Supreme Court's decision in New York State Rifle & Pistol Ass'n v. Bruen directs Second Amendment doctrine to look to history, leaving questions over whether a decidedly historical methodology could effectively adapt to technological …

Automatic Sorting System For Citrus Fruits Based On Machine Vision Algorithms And Intelligent Camera, Li Lei, Gao Yanling, Hou Yakun, Liu Zihui

Food and Machinery

[Objective] To achieve the automatic sorting of citrus fruits. A smart sorting system combining machine vision algorithms and an intelligent camera is designed. [Methods] The system is composed of a detection room, an intelligent camera, a mirror, a lighting system and rollers (including conveyor belts). The intelligent camera is equipped with a microprocessor, which can capture and process images without a dedicated computer. The lighting system consists of LED light strips positioned above the fruits, operating in stroboscopic mode synchronized with the camera to ensure uniform and stable illumination. For the captured fruit images, machine vision algorithms are applied to …

Intelligent Defect Detection On Peanut Surfaces Based On Improved Yolo V 7, Tian Boxuan

Food and Machinery

[Objective] To propose an intelligent defect detection method based on an improved YOLOv7 model for the challenges of strong polymorphism in peanut surface defects and insufficient accuracy of traditional visual inspection methods. [Methods] A cross-channel attention mechanism is integrated to enhance local feature response. Then, a bidirectional feature pyramid is constructed to improve multi-scale defect fusion. Additionally, an angle constraint loss function is introduced to optimize irregular object localization. Furthermore, the model is optimized using an industrial-grade sample library combined with data augmentation strategies. [Results] The improved model achieves a precision of 0.917, a recall of 0.903, [email protected] of 0.948, …

Research Progress On Detoxification And Degradation Technologies For Mycotoxins In Grains, Liang Xuexue, Zhang Yani, Luo Shan, Li Yongjun, Sun Jianyun

Food and Machinery

Mycotoxins are secondary metabolites produced by fungi during their growth. Widely observed in grains and feeds, these toxins pose a significant threat to both human and animal health, resulting in substantial economic losses. Therefore, this paper systematically reviews the principles, application effects, advantages, and disadvantages of mainstream detoxification and degradation technologies, including physical detoxification methods (heat treatment, radiation, adsorption, low-temperature plasma, and photocatalysis), chemical detoxification methods (ammonia treatment, fumigation, and ozonation), as well as biodegradation methods (microbial adsorption, microbial degradation, and enzymatic degradation). It specifically introduces the breakthroughs of new technologies such as low-temperature plasma, novel nano-adsorbent materials, and high-temperature …

Advances In Microwave Drying For Fruits And Vegetables Based On Quality-Efficiency Synergistic Optimization, Pu Zilin, Li Mengqing, Zhang Xuetao, Li Mengyao, Yang Xuhai, Zhang Qian

Food and Machinery

Fruit and vegetable drying constitutes a critical step in food processing, where process optimization should focus on both quality preservation and efficiency enhancement. Among different drying technologies, microwave drying has garnered significant attention due to its characteristics of high efficiency and energy conservation. Therefore, taking microwave drying as the research subject, this study elaborates on the principles and characteristics of various microwave drying techniques, highlighting the challenges for quality-efficiency synergistic optimization in practical applications. Subsequently, by reviewing the applications and development trends of different drying equipment, the study reveals critical bottlenecks faced by existing technologies for this optimization, prospecting the …

Wrike Or Wrong: Exploring Impacts Of Wrike Erp On Productivity And Effectiveness Of Financial Institutions, Sadie Perkins

Honors Theses

This study evaluates the effect of implementing an enterprise resource planning (ERP) system on workforce productivity and effectiveness in a financial institution (Mariner Finance, LLC). To evaluate these metrics, employees self-selected to participate in a survey that measures their general productivity sentiment, general effectiveness sentiment, user experience of the ERP system, and job satisfaction. This survey was given after the ERP system was implemented. Analysis of results from the survey provided insights into the ERP system's effect. The survey was sent to 21 employees and 9 partially or fully completed the survey. While there was variability among employees’ perceptions of …

Developing A Method For Controlled Substance Analysis Using Lcms For Future Dart Ms Applications, Carol N. Muñiz Silva

Honors Theses

Liquid chromatography–mass spectrometry (LC-MS) is an analytical technique used to separate and identify compounds and is widely applied in forensic toxicology and controlled substance analysis due to its strong capabilities in detection, identification, and quantification. In this experiment, a method for analyzing acetaminophen was developed using mobile phases of 0.1% formic acid in water and 0.1% formic acid in methanol. Method development focused on adjusting elution time, mobile-phase gradient, and injection volume. The optimized method produced reliable analysis of acetaminophen across 100–7500 ng/mL. Quantitative and qualitative data were collected through chromatograms and mass spectra of the prepared solutions. Although a …

Re-Imagining The Rimac River: Designing With Mythology, Ecology, And Community, Rodrigo Carbajal

Bachelor of Architecture Theses - 5th Year

The Rímac River sustains Lima, yet the city has treated it more like an edge condition than a living system. Its water moves through the metropolis as a source of life, but its presence is buried behind concrete walls, traffic corridors, pollution, and fragmented access. Over time, the river has been reduced to a controlled channel, stripped of the cultural and spatial relationships that once connected it to everyday life. This thesis begins with that contradiction: the Rímac remains vital to Lima’s survival, but has been pushed out of the city’s public imagination. This project argues that the river’s current …

Synthergy: Social Deduction And Deception In Llm-Powered Agents, Lauren Campbell, Andrew Forney

Honors Thesis

Synthergy is an online social deduction game designed to enable comparative analysis of how large language model-powered agents engage in social deduction and deception under conditions of asymmetric information. Inspired by social deduction games such as Town of Salem, Throne of Lies, and Mafia, the game consists of two factions, Harmony and Discord, to which agents are secretly assigned. Agents must infer others’ affiliations through dialogue, in-game abilities, and voting behavior. To evaluate agent behavior, we conducted 100 simulated games across six agent types: a random baseline agent (RandomSynth), an LLM-based agent (Synth), a chain-of-thought agent (CoT Synth), a Bayesian …

Cover And Contents

Turkish Journal of Mathematics

No abstract provided.

Adaptive Two-Derivative Runge–Kutta–Nyström Method With Trigonometric Fitting Approach, Nur Nabila Huda, Khai Chien Lee, Nurul Huda Abdul Aziz

Turkish Journal of Mathematics

A fifth-order trigonometrically-fitted explicit two-derivative Runge–Kutta–Nyström method with an adaptive step size strategy, denoted as ATFRKN5, is proposed for efficiently solving second-order ordinary differential equations of the form u^″(x) = f(x, u(x)) that exhibit oscillatory behavior. The order conditions of the method are derived using Taylor series expansion, enabling the construction of two-derivative Runge–Kutta–Nyström schemes up to orders four and five. Trigonometric fitting is applied by incorporating the basis functions e^iλx and e^−iλx, λ ∈ ℝ, allowing the method to adapt naturally to problems with dominant frequencies. …

On Sequences Arising From The Action Of Modular Group, Tuncay Köroğlu, Bahadir Özgür Güler

Turkish Journal of Mathematics

This paper examines the sequences produced by the natural action of specific elements of the modular group on extended rational numbers. The polynomial sequences Pr(c) and Qr(c) are derived from the orbit of the point at infinity under a specific modular transformation. These sequences satisfy linear recurrence relations, which are analyzed using generating functions. The polynomials encode k-Fibonacci numbers, and studying their behavior modulo a fixed integer m reveals notable arithmetic and combinatorial properties. We also explore the connection between these modular actions and Farey graphs, illustrating the hyperbolic transformations as nested geodesic paths in the upper half-plane.