Digital Commons Network^™

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.

2025, Significant Natural Disasters And Global Carbon Capture, Utilization, And Storage—Annual Progress Report, Shangli Shi, Yun Hang Hu

Michigan Tech Publications

This annual review summarizes the progress of carbon capture, utilization, and storage (CCUS) technologies in 2025. During this year, the growth rate of atmospheric CO2 concentrations slowed, yet anthropogenic CO2 emissions continued to rise. At the same time, the increasing frequency of severe natural disasters underscored the urgency of climate action and further intensified global efforts to advance CCUS deployment. Scientific interest in CCUS expanded markedly, with the annual number of related publications increasing by 18.5% compared with 2024, reaching 63935. Meanwhile, the total number of operational commercial CCUS facilities worldwide grew by 54%, accompanied by an approximate 25% increase …

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 …

Performance Analysis Of Video Coding For Machines With Vision Transformers, Vaishnavi Dhulipudi

Electronic Theses and Dissertations 2020 - Present

This thesis investigates the performance of Video Coding for Machines (VCM) with Vision Transformer based object detection models. While existing VCM studies and tool designs have largely been developed under CNN-based assumptions, recent advances in computer vision have shown the growing importance of transformer based models. Motivated by this shift, this work studies whether VCM compressed data remains suitable for Vision Transformer based inference in addition to conventional CNN-based task networks.

To address this problem, three representative transformer based object detection models were selected: DETR, SWIN, and YOLOS. These models were chosen to represent different architectural styles, namely a CNN …

Robust Magnetoelectric Backscatter Communication System For Bioelectronic Implants, Fatima Alrashdan, Joshua E Woods, Ellie C Chen, Wendy Tan, Zhanghao Yu, Wei Wang, Mathews John, Lukas Jaworski, Drew Bernard, Allison Post, Angel Moctezuma-Ramirez, Abdelmotagaly Elgalad, Kaiyuan Yang, Mehdi Razavi, Jacob T Robinson

Faculty, Staff and Students Publications

Wireless communication technologies for bioelectronic implants enable remote monitoring for diagnosis and adaptive therapeutic intervention without the constraints of wired connections. However, wireless data uplink from millimeter-scale devices deep in the body struggles to achieve low power consumption while maintaining large misalignment tolerances. Here, we report a passive wireless backscatter communication system based on magnetoelectric transducers that consumes less than 0.3 pJ/bit and achieves less than 1E-6 bit error rate at a distance of 55 mm while tolerating a misalignment of 10 mm. Using this robust data uplink, we designed a wireless cardiac sensing node that can transmit electrocardiogram signals …

A Lifecycle Governance And Learning Health System Framework For Trustworthy, Generalizable, And Sustainable Human-Ai Partnership In Clinical Practice: Lessons From The Asthma-Guidance And Prediction System (A-Gps), Chung-Il Wi, Shauna Overgaard, Momin Malik, Dave Watson, Deepak Sharma, Jennifer Le-Rademacher, Dan Kelleher, Lu Zheng, Joshua Ohde, Brian Lynch, Ashwani Khurana, Sunghwan Sohn, Mahmoud M Aljuhani, Chris Carpenter, Manuel Arteta, Jason Greenwood, Martha Hartz, Randy Foss, Elif Polat, Imad Absah, Carla Davis, Meera Gupta, Lynnea Myers, Björn Nordlund, Cui Tao, Mark L Wieland, Christi Patten, Amie Jones, Prathibha Varkey, Brenna T Loufek, David E Vidal, Nari Gopala, Eric Klee, Vijay H Shah, John D Halamka, Matthew R Callstrom, Nicholas L Rider, Hongfang Liu, Constantin Aliferis, Vesna D Garovic, Young J Juhn

Faculty, Staff and Students Publications

The integration of artificial intelligence (AI) into clinical decision support (CDS) holds promise for proactive, personalized, and precision care. However, current understanding of how to establish trustworthy human-AI partnerships is in its infancy, despite its critical importance for implementing AI in healthcare. We present the Asthma-Guidance and Prediction System (A-GPS) as a case study of a practice-integrated AI platform that demonstrates how trustworthy, generalizable and sustainable AI can be developed, evaluated, and implemented in real-world asthma care. We describe major challenges and solutions based on our real-world experience during the process and offer the practical framework, approaches, tools and workflow …

Indirect Competitive Enzyme-Linked Immunosorbent Assay For The Detection Of Enrofloxacin Residues In Animal-Derived Food, Huang Jiaxiang, Li Yanfei, Wang Kaile, Zhang Min, Wang Yao, Kang Huaibin

Food and Machinery

[Objective] To establish a highly sensitive indirect competitive enzyme-linked immunosorbent assay (ic-ELISA) for detecting enrofloxacin (ENR) residues in animal-derived food. [Methods] ENR was conjugated with keyhole limpet hemocyanin (KLH) using the carbodiimide method to prepare an immunogen, and New Zealand white rabbits were immunized to produce high-sensitivity antibodies. Based on this, the detection system was optimized to establish ic-ELISA, the detection performance was evaluated, and spiked recovery tests were conducted in animal-derived food. [Results] Under the optimized conditions of coating antigen concentration at 0.25 μg/mL, antibody dilution of 1∶40 000, secondary antibody dilution of 1∶5 000, primary antibody incubation for …

Dilemma Of Food Safety Information Release In The Protection Of Consumer Rights And Interests, Kong Fei

Food and Machinery

From the perspective of consumer rights protection, and in light of the existing institutional mechanisms and practical conditions in the field of food safety, this study finds that the current release of food safety information faces several dilemmas, including insufficient transparency in government food safety information disclosure systems, relatively single channels for information dissemination, and a relatively lagging public opinion monitoring system. In response to these dilemmas, solutions can be proposed from three distinct dimensions. First, enhancing the transparency of the government food safety information release system, namely by clearly defining the responsibilities of various departments and enriching the types …

Bearing Fault Detection Of Fruit Puree Packing Machine Based On Multi-Channel Depth Residual Graph Neural Network, Yan Shengli, Fu Hui, Li Hao

Food and Machinery

[Objective] To address the issue of bearing failure in fruit puree packaging machines operating in complex work environments. [Methods] This study proposes a method of bearing fault detection of fruit puree packing machine based on multi-channel depth residual graph neural network. First, it uses the Cmor wavelet to complete signal preprocessing, and converts the original one-dimensional bearing fault signal samples into two-dimensional time-frequency graph signals. Second, the study designs the multi-channel feature extraction module, which reduces the number of parameters and enhances the data interaction between each channel, so as to effectively extract the two-dimensional time-frequency spectrum information of the …

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 …

Non-Destructive Prediction About Storage Quality Of Prunes In Xinjiang Using Visible And Near-Infrared Spectroscopy Technology, Wen Long, Zhang Hui, Lai Lisi

Food and Machinery

[Objective] To establish a prediction model for the soluble solid content (SSC) and firmness of prunes in Xinjiang using visible and near-infrared (Vis-NIR) spectroscopy, enabling nondestructive and accurate evaluation of the internal quality of the fruit. [Methods] Taking 280 prunes in Xinjiang as research samples, the study collects Vis-NIR reflectance spectra at different storage periods with a near-infrared system. Principal component analysis-Mahalanobis distance (PCA-MD) is applied to eliminate abnormal samples. Then, the remaining dataset is divided into a calibration set and a prediction set at a ratio of 3∶1 using the Kennard-Stone (K-S) algorithm. Partial least squares (PLS) and support …

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, …

Exploration In The Mechanism Of Alcohol Extracts Of Moringa Oleifolia Leaves In Improving Sleep, Gao Wenrong, Liu Weiliang, Zhao Dongmei

Food and Machinery

[Objective] To explore the effect of Moringa oleifera leaves, a characteristic plant resource in Yunnan Province, on the sleep improvement mechanism. [Methods] The chemical composition of ethanol extract from M.oleifera leaves (MOLEE) is determined by targeted metabolomics technology. The efficacy of MOLEE in improving sleep is evaluated in vivo through health food standard assays (mouse autonomous activity monitoring, pentobarbital sodium-induced mouse sleep test, and pentylenetetrazole-induced mouse convulsion test). Network pharmacology, molecular docking, and molecular dynamics simulation are employed in vitro to preliminarily investigate the mechanism of MOLEE on sleep-improving efficacy. [Results] MOLEE is rich in some active ingredients such as …

Effects Of Key Factors In Hot Air Drying On The Physical Properties Of Ulva Prolifera, Wang Zhen, Yang Jin

Food and Machinery

[Objective] To explore the quality change patterns of Ulva prolifera during the hot air drying process. [Methods] The effects of three key drying factors (hot air temperature, air velocity, and material thickness) on the physical properties of U.prolifera (including moisture content, porosity, specific heat capacity, and thermal conductivity) are systematically investigated. Then, the influence patterns of each factor are clarified by single-factor experiments combined with multi-factor correlation analysis. Finally, a partial least squares regression prediction model is constructed. [Results] An increase in temperature significantly reduces the moisture content, increases porosity and specific heat capacity, while causing a downward trend in …