Digital Commons Network^™

Weibull-Aft And Random Forest Hybrid Modeling Of Diesel Generators In Burkina Faso, Zoewendbem Alain Ilboudo, Frédéric Bationo

Engineering and Technology Journal

Diesel thermal power plants are an essential link to ensure energy security in the countries of the Sahel, despite the development of renewable energies. In Burkina Faso, these plants contribute greatly to electricity production. However, their operation is influenced by a particularly restrictive environment characterized by ambient temperatures up to 49 °C, humidity variability greater than 70% and high exposure to dust. These conditions accelerate equipment degradation, reduce reliability and increase unexpected failures. This study proposes a contextualized predictive maintenance tool. Indeed, it is based on a Contextualized Global Risk Index (GPRI) combining a climate risk indicator, a probability of …

System-Level Generation Of Dynamic Information Overlays For Media Content, Harsh Rajotiya, Dev Daftari

Defensive Publications Series

Accessing supplemental information while viewing digital media may involve disengaging from the primary content to use separate applications or devices. This document describes a system level framework for generating dynamic informational overlays that can operate independently of specific media applications. The system may utilize a generative artificial intelligence model to interpret user queries, such as voice commands, and orchestrate the retrieval of data from multiple sources. The model can then dynamically design and specify a custom graphical user interface element, such as a chart or table, which can be rendered as an overlay on a main viewing screen (e.g., a …

Evidence-Based Guidance System For Data Science Teams Using Generative Ai Under Uncertainty, Kristoffer Ahlstrom-Vij

Defensive Publications Series

A method for implementing evidence-based guidance for a data science team using generative artificial intelligence under uncertainty is provided. The method includes reviewing existing evidence on generative AI in knowledge work, including empirical literature on productivity effects, cognition and skill formation, and human factors research on automation complacency and cognitive offloading. The method includes evaluating the existing evidence across parallel considerations and deriving a plurality of principles from the existing evidence. The principles include an accountability principle stating that accountability for work cannot be self-certified, an aggregation principle directing to read more but not think less, a writing reservation principle …

Generative Synthesis Of Context-Aware Media Recaps And Alternative Narratives, Dev Daftari, Akash Verma

Defensive Publications Series

Systems and methods can use generative artificial intelligence to synthesize personalized media content. For example, when a user returns to a series, a system can generate a dynamic recap designed to be spoiler-free based on a user's last-viewed point, for instance, by retrieving relevant plot information from a media knowledge graph. The technology could also generate alternative narrative scenes based on user prompts, for example, by using system guardrails to promote stylistic consistency with the source material. These techniques may provide personalized user interactions, potentially improving viewer re-engagement with serialized content and extending interaction with media franchises within a media …

Dynamically Generating Immersive Environments For Extended Reality From 2d Media, Dev Daftari, Akash Verma

Defensive Publications Series

Watching two-dimensional (2D) media in extended reality can involve static virtual environments that may not be contextually linked to the content being viewed, which can reduce immersion. Systems and techniques are described for dynamically generating a 360-degree virtual environment from a 2D media stream. A system may analyze a buffer of video frames using computer vision methods to extract scene context, including three-dimensional geometry and lighting information. This extracted data can then be used as a seed for a generative artificial intelligence model to perform spatial outpainting, extending the original 2D scene into a volumetric environment. This process can transform …

Natural Language Navigation Of Media Via Generative Ai And A Multimodal Index, Dev Daftari, Akash Verma

Defensive Publications Series

Finding specific moments in media can be challenging, as certain methods like timeline scrubbing or keyword searches may not align with a user's descriptive memory of a scene. A system can facilitate media navigation through natural language queries. For example, a system may create a time-stamped, multimodal index of a media asset by analyzing its visual, auditory, and textual content. When a user provides a descriptive query, a generative artificial intelligence model can semantically evaluate the request against the index to identify a corresponding media segment and its timecode. The system could then provide the timecode to a media player …

Cascaded Liability-To-Feedstock Resource Recovery Architectures: Geothermal-Desalination-Membrane-Mineral Stacks, Cryogenic Storage-Air Separation-Datacenter Cascades, And Parallel-Topology Hybrid Storage, Alexander Smith

Defensive Publications Series

Disclosed are cascaded resource-recovery architectures organized by a common design rule: each processing stage is sequenced so that the waste liability of the preceding stage becomes the feedstock of the following stage. Three families are disclosed in enabling detail.

(A) A geothermal-desalination-membrane-mineral stack in which geothermal heat drives power generation via an Organic Rankine Cycle, waste heat drives or preheats desalination, and desalination brine -- already filtered and cooled by the desalination pretreatment train -- supplies a pressure-retarded osmosis salinity-gradient power stage. Geothermal brine separately supplies mineral recovery including direct lithium extraction, silica, zinc, manganese, barium and strontium sulfate. The …

Extremophile-Inspired Biomimetics Potential Analysis, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3, GPT-5 Thinking, Gemini and Grok, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). This defensive disclosure provides enabling embodiments that translate extremophile mechanisms (thermostability, cryo-activity, anhydrobiosis, halotolerance, radiotolerance, barophily) into materials, devices, processes, control algorithms, interoperable …

Iva‑Ecs‑Plus Max Exhaust Polishing & Conditioning Module, Michael Victor Caldwell Mr.

Defensive Publications Series

The IVA‑ECS‑PLUS MAX is an open‑hardware, bolt‑on exhaust‑polishing module designed to attach directly to the outlet of existing industrial pollution‑control systems—including baghouses, ESPs, cyclones, wet scrubbers, and marine exhaust scrubbers—to provide additional particulate reduction beyond what primary systems achieve. The system integrates a multi‑stage architecture consisting of a J‑groove pre‑swirl intake, dual‑band acoustic agglomeration chamber, CFD‑optimized vortex core with adjustable cone, high‑coverage wet scrubber array, multi‑stage demister (vane pack + mesh pad), and an optional polishing stage using either a mini‑electrostatic precipitator or ceramic microfilter. This combined sequence targets ultra‑fine particulate matter (PM2.5 and PM0.1), aerosols, droplets, and haze‑forming micro‑pollutants …

Innovation Potentials To Scale Green Finance Globally, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of GPT-5.2 Thinking, Gemini 3 Reasoning and Grok, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) entering the prior art under EPC Art. 54(2), French IPC Art. L 611-11, 35 U.S.C. §102(a), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢) and Japanese Patent Act Art. 29(1) (闘旧避). It discloses 90 enabling embodiments (1–90) for verifiable green finance: real-time MRV and ZK oracles, programmable green bonds, IoT/satellite-triggered loans and parametric insurance, carbon and nature tokenization, digital twins, private portfolio optimisation, material provenance (cement, plastics, textiles, H2, batteries), biodiversity indices and …

The Challenges Of Romantic Relationships In Contemporary Societies, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3, GPT-5 Thinking and Grok, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). This disclosure details technical systems, methods, and architectures spanning ethical matching, socio-ecological scoring, closed-loop UX, a!ective VR, safety/consent, intergenerational models, community optimization, data …

A Method For Multi-Modal Tensor Distillation And Non-Perturbative Phase Retrieval Inside Decentralized Anamorphic Substrates, Christopher L. Eckes

Defensive Publications Series

When decentralized edge agents implement Continuous Online Local Plasticity via an Anamorphic Memory Lattice (AML), the local elastic weight layer (\(\Phi _{t}\)) experiences rapid structural saturation under high-velocity multi-modal data streams. This saturation triggers localized impedance mismatches, where the model can no longer distinguish between environmental noise and high-fidelity operational tool telemetry, degrading the system back into an chaotic, ungrounded state.

This paper introduces a standalone technical method for Multi-Modal Tensor Distillation and Non-Perturbative Phase Retrieval inside decentralized anamorphic substrates. By implementing a phase-locked spatial-harmonic filter directly over the elastic parameter layer, this framework allows the model to continuously compress …

A Method For Algorithmic Entropy Mitigation And Context Window Equilibrium In High-Dimensional Transformer Architectures, Christopher L. Eckes

Defensive Publications Series

High-dimensional Autoregressive Transformer architectures scale linearly or quadratically in computational, thermodynamic, and financial overhead relative to context window saturation. In continuous multi-turn token processing, models suffer from "Prompt Gravity"—a compounding mathematical distortion of the Softmax attention matrix driven by localized token accumulation. This distortion shifts in-context token weights, resulting in structural degradation, diminished operational return on investment (ROI), and severe "sandbox sycophancy" where factual grounding collapses into localized linguistic coherence.

This paper introduces a decentralized, low-entropy architecture designed to decouple structural grounding from active token processing. By utilizing localized, high-entropy open-weight nodes (e.g., legacy Llama architectures) to simulate an offline, …

A Channel-Agnostic, Phase-Gated Checkpoint Architecture Coordinating An Autonomous Multi-Agent Content Pipeline Across A Stateful Conversational Interface And A Stateless Asynchronous Interface, Vipul Panday, Manjulika Bajpai

Defensive Publications Series

This disclosure documents the architecture of a production system that delivers a multi-step, AI-agent-driven content-production workflow to end users through two fundamentally different interaction surfaces at once: a real-time, stateful conversational interface (a chat bot, which inherently remembers where a conversation left off) and a fully stateless, asynchronous interface (individual links delivered by email, each a fresh, session-less HTTP request with no memory of any prior interaction). The system is architected so that a single, centrally persisted phase field is the sole source of truth for where a given user's in-flight workflow currently stands, with the chat interface consuming that …

2026 August 18 - Faculty Senate Minutes, Faculty Senate, East Tennessee State University

Faculty Senate Agendas and Minutes

No abstract provided.

Aptamer–Gold Nanoparticle-Based Lab-In-A-Tube Colorimetric Detection Of Malathion: Evaluation With Classical And Digital Readout Techniques, Emi̇ne Güler Çeli̇k

Turkish Journal of Chemistry

Colorimetric biosensing devices represent an important class of point-of-care (POC) diagnostics due to their ability to provide visible test outputs, their ease of integration with smartphone-based sensing, and their portability for field testing. In the context of agrifood safety, there is a growing need for portable, robust, and cost-effective detection devices. Pesticide residues can be present in a wide range of environmental and food samples, from water resources to fruits and vegetables, resulting in an increasing global demand for on-site testing. Colorimetric assays, when combined with smartphone-based sensing, can effectively address these needs. In this work, the aggregation-induced color change …

Sensitive Electrochemical Sensor For Simultaneous Determination Of Epinephrine And Norepinephrine By Sio2np@Mwcnt-Cooh Nanoparticle-Modified Spces​, Merve Yilmaz Çilçar, Meli̇ke Bi̇lgi̇ Kamaç, Ayşenur Yilmaz Kabaca, Şahi̇n Toparli, Faruk Terzi̇oğlu, Emi̇r Ateş

Turkish Journal of Chemistry

Epinephrine (EP) and norepinephrine (NEP), both neurotransmitters, are two important biomolecules that play critical roles in the body, from the central nervous system to metabolic processes. They are also important biomarkers for clinical diagnosis and monitoring. In this study, a novel, fast, practical, and high-performance electrochemical sensor based on a SiO2NP@MWCNT-COOH nanocomposite was developed for the simultaneous determination of EP and NEP. The nanocomposite was modified onto the surface of screen-printed electrodes (SPCEs) and its characterization was performed (SEM-EDX, XRD, FTIR, CV, DPV, and EIS). The individual and simultaneous determinations of EP and NEP were performed using square-wave voltammetry, yielding …

Acetylcholinesterase Immobilization On A Natural Thin Membrane For Stable Biocatalyst Design, Si̇nem Öztürk, Ceyhun Işik, Mustafa Teke

Turkish Journal of Chemistry

This study involved the immobilization of acetylcholinesterase (AChE) onto a natural thin membrane extracted from the inner epidermal layer of Allium cepa, with the aim of enhancing the enzyme’s stability, activity, and reusability for potential biotechnological applications. The membrane, composed of biocompatible polymers and naturally occurring functional groups, was used as a sustainable support in a combined strategy involving adsorption followed by glutaraldehyde-mediated cross-linking. Immobilization conditions were optimized by evaluating key factors such as enzyme concentration, membrane quantity, cross-linker dosage, and contact time to achieve maximal catalytic efficiency. Structural and morphological changes on the membrane surface were assessed via scanning …

Folic Acid-Targeted Polymeric Complex Imprinted With Doxorubicin And Quercetin For Controlled Drug Delivery In Cancer Therapy, Ceren Türkcan, Emi̇rhan İşeri̇

Turkish Journal of Chemistry

​Cancer therapy is often limited by the systemic toxicity and dose-dependent adverse effects of conventional chemotherapeutic agents such as doxorubicin (DOX). In this study, a folic acid-functionalized molecularly imprinted polymeric complex based on poly(HEMA) crosslinked with ethylene glycol dimethacrylate was synthesized for the controlled release of DOX in combination with quercetin (QUE), a flavonoid known for its antioxidant and chemosensitizing properties. The aim of this work was to develop and physicochemically characterize a preliminary targeted drug delivery platform at a material-design level. The polymeric complex was synthesized via free-radical polymerization following a DOX–QUE precomplex formation step. Structural characterization was performed …

Electrochemical Determination Of Terbutaline Using A Sno2 Nanoparticle-Modified Carbon Paste Electrode, Rauf Gulamov, Şenol Alpat, Si̇bel Kilinç Alpat

Turkish Journal of Chemistry

Terbutaline hemisulfate (THS), a selective beta-2 agonist, is preferred as a bronchodilator for the treatment of asthma and bronchitis, as well as a tocolytic agent to delay labor in acute situations during premature birth. The use of beta-2 agonists above a certain dose is considered doping in sports competitions. Therefore, it is important that they be determined with high sensitivity and selectivity within a short analysis time. In this study, a SnO2 nanoparticle-modified carbon paste electrode was developed for the determination of THS. Cyclic voltammetry and differential pulse voltammetry were employed as electrochemical methods. The operating conditions of the developed …

Chitosan Microparticle-Based Antibacterial Nasal Barrier Formulation And In Vivo Evaluations, Güli̇z Ak, Ayça Erek, Tuğba Karakayali, Şadi̇ye Çeti̇n, Şenay Şanlier

Turkish Journal of Chemistry

Microorganisms remain a major cause of infectious diseases, emphasizing the need for alternative and complementary antimicrobial strategies. In this context, plant-derived materials have attracted increasing attention for their antimicrobial and protective properties. Chitosan, a biocompatible and cationic biopolymer, has emerged as an effective carrier system for encapsulating such plant-derived components. In this study, chitosan microparticles were prepared through ionic gelation followed by spray drying and loaded with thyme oil and olive leaf extract. The resulting microparticles exhibited an average size of approximately 1.8 μm and a total phenolic content of 23 mg GAE/g. These microparticles were incorporated into a glycerin–starch …

A Poly-L-Lysine-Functionalized Electrochemical Immunosensor Enables Highly Sensitive Detection Of Tumor Necrosis Factor Receptor-Associated Protein 1, Berfi̇n Vural, Mustafa Kemal Sezgi̇ntürk

Turkish Journal of Chemistry

Tumor necrosis factor receptor-associated protein 1 (TRAP-1), a member of the mitochondrial heat shock protein family (HSP90), is essential for protein homeostasis, stress response, and cell cycle. TRAP-1 not only optimizes cellular energy production but also prevents cell death, thereby supporting the survival and proliferation of tumor cells. In addition to cancer, TRAP-1 has been associated with Parkinson’s disease, certain autoimmune disorders, and abnormalities in the kidney and urinary tract. In this study, a unique and useful indium tin oxide-polyethylene terephthalate (ITO–PET)-based electrochemical biosensor is described for detecting the biomarker TRAP-1. The ITO–PET electrode, selected as the working electrode, is …

Integrating Joint Geostatistical Simulation With Stochastic Pit Optimization For Mineral Resource And Reserve Estimation, Sentle Augustinus Hlajoane, Snehamoy Chatterjee

Michigan Tech Publications

Spatial variability and uncertainty associated with grades and rock types significantly impact mineral resource estimation and reserve determination. Conventional approaches generally simulate grades within deterministic geological domains, which may inadequately capture uncertainty and the gradual transition of grades across lithological contacts. Although joint simulation of categorical and continuous variables improves geological realism and uncertainty characterization, reserve estimation is still commonly performed using deterministic ultimate pit optimization methods that do not explicitly propagate geological uncertainty into mine planning decisions. This study presents an integrated framework that combines pluri-Gaussian simulation for joint modeling of rock types and grades with stochastic pit limit …

Greg Kerr V. General Motors Llc

2026 Decisions

USDC for the District of Delaware

Fundraising Sets New Record At Illinois Wesleyan University, Ann Aubry

Press Releases 2020-2029

No abstract provided.

Fmea-Based Risk Assessment And Improvements For Vascular Access Education In Hemodialysis, Nai-Hua Hsiao

International Nursing Research Congress (INRC)

This study evaluates and improves the patient education and care process before and after arteriovenous fistula surgery in hemodialysis patients. Inadequate implementation of this process may lead to multiple clinical risks. Currently, Southern X Hospital lacks a standardized patient education protocol, resulting in duplicated, omitted, or inconsistent content. These deficiencies negatively affect patients' comprehension and adherence, potentially leading to resource waste and reduced dialysis quality. To address these issues, this study applies Failure Mode and Effects Analysis (FMEA) to systematically identify potential failure modes within the education and care continuum. The CRITIC (Criteria Importance Through Intercriteria Correlation) method is used …

“Turn The Faucet”: Right-Wing Hydrosocial Imaginaries Of Irrigation Water In The Western United States, Alexander Reid Ross, Thien-Kim Bui, Alida Cantor

Geography Faculty Publications and Presentations

The second administration of United States President Donald Trump has taken an authoritarian, centralized approach to governance in the United States. Water management is one area in which the president has attempted to show dominance. This research theorizes President Trump’s concept of water in the United States West as a “hydrosocial imaginary” in which the release of water from rivers and reservoirs indicates virility, action, and power, instead of liberal cautiousness and prudence. By ordering the release of two billion gallons of water from California’s Central Valley into the dry Tulare Basin one hundred miles north of Los Angeles for …

We Don't See Race, We See Blue: A Case Study Of Police Unions As Racialized Organizations, Sarahfina Aubrey Peterson

Dissertations and Theses

In the late 1960s, police began to unionize. Today, they are the most well-organized labor force in the United States, with 70% to 80% of sworn officers now represented by a union. Though it has been decades, little scholarship has developed about how police unions affect policing. Much of the research that does exist uses race-neutral frames to address an organization steeped in racial history. This study aims to address this gap in scholarship, in part, by introducing race as a motivation for and explanation of organizational output.

This research applies Victor Ray's racialized organizations theory to police unions. I …

Immune Reconstitution And Tolerance-Inducing Therapies As Promising Therapeutic Approaches In Multiple Sclerosis, Alireza Beheshti Maal, Mandana Kazem Arki, Seyed Massood Nabavi, Mostafa Rezaei-Tavirani, Elham Rismani, Massoud Vosough, Gholamreza Azizi, Nikoo Hossein-Khannazer

Department of Neurology Faculty Papers

OBJECTIVES: Multiple sclerosis (MS) is a complex, progressive neurodegenerative autoimmune disease and a major cause of neurological disability worldwide. MS affects approximately 2.8-3 million people, predominantly presenting as relapsing-remitting MS (RRMS) that frequently converts to secondary progressive disease, while effective options for progressive phenotypes remain limited.

METHODS: This review reframes MS immunotherapy through a tolerance-centric paradigm, distinguishing continuous maintenance disease-modifying therapies (DMTs) from immune reconstitution therapies (IRTs) and emerging antigen-specific tolerance strategies.

RESULTS: Classical immune reconstitution therapies, including alemtuzumab, cladribine, and autologous hematopoietic stem cell transplantation (aHSCT), have demonstrated durable disease control and prolonged periods of no evidence of disease …

The Self-Aware Room: A Framework For Operational Self-Awareness In Evolvable Blended Environments, David B. Smith

Publications and Research

The Self-Aware Room (SAR) is a room-scale research environment developed within the larger Balanced Blended Space and Blended Reality Performance System research trajectory. Rather than treating the room as a conventional “smart” environment composed of fixed automation technologies, SAR approaches it as an evolvable blended environment made from physical, virtual, conceptual, sensory, computational, and performative relationships. Its defining feature is not any particular sensor, model, or output device, but the set of transformations through which physical activity becomes structured observation, bounded representation, interpreted state, governed decision, and mediated response.

This paper develops the conceptual and methodological foundations of SAR as …