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Articles 19411 - 19440 of 1109502
Full-Text Articles in Entire DC Network
The Dangers Of Social Media In Political Theory, Eden M. Shimanek
The Dangers Of Social Media In Political Theory, Eden M. Shimanek
Global Tides
Increasing political polarization is a prominent feature of the twenty-first-century political landscape, with social media playing a significant role. This essay evaluates social media as a political platform through Hannah Arendt’s notion of the Vita Activa, which describes the political realm and the ideas of totalitarianism. Using this framework, I argue that the surging political use of social media creates digital “echo chambers” that result from the loss of human plurality, which ultimately marks the diverse nature of the political realm. I would continue to argue that these chambers evolve into the notion that Arendt notes as world alienation or …
A Case Against Pragmatic Encroachment, Mahali Kuzyk
A Case Against Pragmatic Encroachment, Mahali Kuzyk
Global Tides
In their paper, Evidence, Pragmatics, and Justification Fantl and McGrath offer a seemingly intuitive and attractive route to a revision of what counts as epistemic justification and knowledge. They argue that knowledge is not just a matter of evidence, but depends in part on one’s practical situation. Higher stakes and different utilities can change whether a belief is knowledge-constituting. This essay will argue that Fantl and McGrath’s attempt to use their Knowledge-Action principle (KA) to back pragmatic encroachment ultimately fails.
The Assessment And Valuation Gis Toolbox For Nerds, Lauren Voelker, Daniel Fasteen Phd
The Assessment And Valuation Gis Toolbox For Nerds, Lauren Voelker, Daniel Fasteen Phd
GIS Technology Conference 2026
This hands-on workshop explores the modern geospatial toolkit for property valuation and assessment. We’ll explore how spatial analytics can enhance assessment accuracy, uncover neighborhood patterns, and support more defensible valuations. We’ll start with the essentials—bringing your data into Pro and performing exploratory spatial analysis—before moving into advanced tools for valuation modeling. Learn how to apply exploratory regression, forest-based classification and regression, geographically weighted regression (GWR), spatially constrained multivariate clustering, and territory design tools to improve accuracy and insight in your valuation workflows. We’ll also introduce the R-Bridge for extending analytical capabilities with custom scripts. If time permits, we’ll conclude with …
Leveraging Arcgis Pro To Manage Parcels (Full-Day) Workshop, Jason Camerano
Leveraging Arcgis Pro To Manage Parcels (Full-Day) Workshop, Jason Camerano
GIS Technology Conference 2026
In this hands-on workshop, attendees will learn about managing parcels in ArcGIS Pro, utilizing the Parcel Fabric data model, and how to extend it for their data migration. Once data is migrated, the focus will shift to common record-driven and quality-driven workflows. Agenda: The ArcGIS Parcel Fabric information model and how to extend it for your organization Data migration to the Parcel Fabric Record-driven workflows and parcel lineage Quality-driven workflows to evaluate and improve data quality Modern implementation patterns that use service-oriented architecture (SOA) and versioning to support Multi-user, concurrent editing Using and configuring Tasks for your repeatable workflows The …
Demonstrating Sysml V2’S Utility With Syside And Syson For Systems Modeling, Quinn Galen
Demonstrating Sysml V2’S Utility With Syside And Syson For Systems Modeling, Quinn Galen
Student Research Symposium (SRS)
This study highlights the practical utility of SysML v2’s kernel language, a formal, text based foundation for consistent, cross tool model definitions, in Model Based Systems Engineering (MBSE), using Air Traffic Management (ATM) as an illustrative example. SysIDE, an open source textual editor, enables rapid model creation with the kernel’s concise syntax, allowing users to define system components and behaviors (e.g., ATM radar or flight path interactions) with real time validation. SysON, a web based graphical tool, complements this by facilitating collaborative visualization of system architectures. Using ATM as an example case, we can showcase how the kernel language enhances …
Conceptual Exploration Of Film Cooling Techniques In Hydrogen Gas Turbines, Wen Wu
Conceptual Exploration Of Film Cooling Techniques In Hydrogen Gas Turbines, Wen Wu
Student Research Symposium (SRS)
Film cooling is a key heat transfer technique that protects gas turbine blades from extreme temperatures, allowing higher turbine inlet temperatures and greater thermal efficiency. It works by ejecting a thin layer of cooler air from the compressor through small holes onto the hot surface, creating a protective film layer that lowers surface temperature and reduces thermal stress on blades. This process is vital in power generation and propulsion systems that operate near material limits. With growing emphasis on sustainability, film cooling has gained new importance in hydrogen-fueled gas turbines. Hydrogen combustion creates water vaper and low-density exhaust gases, which …
Gci #274: The Neuro-Clearance Research Architecture, Michael Victor Caldwell Mr.
Gci #274: The Neuro-Clearance Research Architecture, Michael Victor Caldwell Mr.
Defensive Publications Series
This disclosure describes the GCI-274 Neuro-Clearance Engine (v3.1), a non-medical, open-hardware research architecture designed for the study of complex fluid dynamics in cranial-mimetic phantom models. The system integrates 21 independent Gemini Caldwell Inventions (GCI) into a unified Vortex-Acoustic Transport Stack to explore the mobilization and redistribution of protein-analog aggregates in non-Newtonian fluids (PVA-Cryogel).
The architecture utilizes a multi-layer physical approach:
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Kinetic Lift Layer: Employs the GCI #102 Vortex Spine featuring GCI #18 J-Groove Rifling to induce passive vortex shedding and helical upward flow without mechanical impellers.
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Acoustophoretic Layer: Utilizes a 12-element GCI #75 Phased Array mapped to a GCI …
Artificial Genuine Intelligence: Why Constraint Matters More Than Values In Recursive Ai Systems, Thom Pham
Artificial Genuine Intelligence: Why Constraint Matters More Than Values In Recursive Ai Systems, Thom Pham
Defensive Publications Series
Large language models are often described as hallucinating when they produce incorrect
or unsupported outputs. That label is useful descriptively, but it conflates several distinct
mechanisms, including local generation error, unsupported fabrication, and
interaction-driven reinforcement of an initially weak claim. This paper isolates the third
case.
We argue that a subset of hallucination-like behavior is better understood as Recursive
Narrative Amplification (RNA): a feedback dynamic in which an already introduced
claim gains authority through recursive reuse before sufficient external constraint has
refreshed or corrected the trajectory.
The paper also introduces aggregation-induced error as a distinct structural failure mode
arising from …
Bio‑Kinetic Vortex Sentry (Bkvs) V3.2 (Gci #272), Michael Victor Caldwell Mr.
Bio‑Kinetic Vortex Sentry (Bkvs) V3.2 (Gci #272), Michael Victor Caldwell Mr.
Defensive Publications Series
The Bio‑Kinetic Vortex Sentry (BKVS) v3.2 (GCI #272) is a modular, battery‑free, open‑hardware research architecture for biomechanical sensing, microfluidic processing, and ultrasonic telemetry, intended solely for in‑silico and in‑vitro / ex‑vivo investigation under ethical oversight. BKVS integrates (i) µW‑scale biomechanical energy harvesting via Kirigami piezoelectric nanogenerators, adaptive PVDF‑TrFE meta‑material skins, and a self‑regenerative bio‑triboelectric buffer; (ii) an ex‑vivo acoustophoretic + J‑groove vortex microfluidic module combining acoustophoresis, electrostatic focusing, and low‑shear hydrodynamics for microplastic and protein‑aggregate separation; (iii) Dyneema‑reinforced microchannel scaffolds for acoustically addressable tissue engineering experiments; (iv) an ultrasonic interstitial fluid sensor with optional needle‑free mist delivery; and (v) secure …
Gci #271 – Active Orbitronic Heat‑Pump Substrate (V2), Michael Victor Caldwell Mr.
Gci #271 – Active Orbitronic Heat‑Pump Substrate (V2), Michael Victor Caldwell Mr.
Defensive Publications Series
GCI #271 proposes a solid‑state, vibration‑driven thermal‑diode‑like interposer for high‑density chip‑stacks. It moves beyond passive heat spreading by attempting to bias phonon transport in one direction using chiral‑phonon‑induced orbital‑like currents driven by an acoustic field and thermal bias.
At its core, GCI #271 combines:
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A high‑thermal‑polymer substrate (Dyneema‑UHMWPE / epoxy‑acrylate, based on Arachne‑23‑style concepts) that serves as the main “phonon highway” within the interposer.
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A Z‑cut α‑quartz thin film (5–20 µm thick) bonded on top, chosen because chiral‑phonon effects and orbital‑like responses have been observed in similar quartz‑like crystals when driven by thermal, optical, or acoustic excitation.
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Piezo‑driven acoustic excitation …
From Automation To Innovation: The Transformative Impact Of Ai On Business Functions In India, Ritika Sharma, Ashwarya Kapoor
From Automation To Innovation: The Transformative Impact Of Ai On Business Functions In India, Ritika Sharma, Ashwarya Kapoor
Management Dynamics
Background: Artificial Intelligence (AI) is revolutionizing business operations by driving innovation, streamlining processes, and enhancing decision-making. Its growing adoption across industries signifies a paradigm shift from traditional business models to intelligent, data-driven systems.
Objective: The study aims to examine how AI influences modern business functions, with a particular focus on marketing practices within the Indian context.
Methods: A qualitative research approach was employed using semi-structured interviews with ten Indian marketing professionals. The insights gathered were analyzed to identify emerging themes related to AI adoption, benefits, and challenges.
Results: Findings reveal that AI significantly enhances operational efficiency by automating repetitive tasks, …
Pith: A Governed Cognitive Architecture For Persistent Ai Memory, Andrew Estey-Ang
Pith: A Governed Cognitive Architecture For Persistent Ai Memory, Andrew Estey-Ang
Defensive Publications Series
We present Pith, a cognitive architecture that provides persistent, governed memory for large language model (LLM) agents. Unlike stateless retrieval-augmented generation (RAG) systems or simple key-value memory stores, Pith implements a multi-layered governance stack that manages the full lifecycle of learned knowledge: acquisition, belief state management, temporal decay, contradiction detection, authority scoring, and cross-session coherence. We describe the architecture's core components — a five-state belief lifecycle, four-tier feedback system, knowledge area segmentation, and a novel behavioral benchmark (CogGov-Bench) for evaluating governance effectiveness. Deployed in production with 4,874 concepts across 3,043 sessions, Pith achieves a CogGov-Bench composite score of 69.0/100 with …
Decoupling Stylistic And Factual Context In Llms To Mitigate Conversational Tone Inertia, Viraj Doshi
Decoupling Stylistic And Factual Context In Llms To Mitigate Conversational Tone Inertia, Viraj Doshi
Defensive Publications Series
Large language models (LLMs) engaged in extended dialogues may exhibit "tone inertia," where a model's style can become fixed and may not adapt when a conversational topic shifts, potentially leading to contextually inappropriate responses. A system can manage this behavior by algorithmically decoupling conversational context into components, such as a factual context for semantic knowledge and a stylistic context for tone and stylistic profile. A domain shift detection module can identify shifts in the conversation based on mathematical/vector detection, which may trigger a reset of the stylistic context while the factual context is preserved. This process can allow dynamic adaptation …
Transaction-Outcome Driven Adaptive Logging, Chao Feng, Kelu Zhang, Wenliang Li, Peng Xu, Xiangjun Meng
Transaction-Outcome Driven Adaptive Logging, Chao Feng, Kelu Zhang, Wenliang Li, Peng Xu, Xiangjun Meng
Defensive Publications Series
Presented herein is a system, referred to as Transaction-Outcome Driven Adaptive Logging (TODAL), that is an innovative system that resolves the critical trade-off between comprehensive diagnostic logging and operational efficiency on complex network devices. It achieves this by capturing all log data at the highest verbosity into an internal buffer, then intelligently processing and outputting only key summary information for successful operations, while providing full detailed logs exclusively for failed transactions. This approach not only ensures comprehensive troubleshooting data is always available when needed, but also significantly reduces system resource consumption and extends the effective retention period of relevant logs.
Adaptive Behavioural Session Control For Shared Printers Using Machine Learning–Based Threat Analytics, Hp Inc
Defensive Publications Series
The present disclosure relates to device security for shared peripherals, particularly enterprise printers and multifunction devices (MFDs). More specifically, it pertains to adaptive session management, user authentication, and AI-driven threat analytics using behavioral modelling and job accounting data.
Enhancing Introductory Cybersecurity Learning: A Design-Based Research Case Study, Manny Niri Dr.
Enhancing Introductory Cybersecurity Learning: A Design-Based Research Case Study, Manny Niri Dr.
Journal of Cybersecurity Education, Research and Practice
This study employs a design-based research (DBR) framework to examine the impact of a comprehensive curriculum redesign in an introductory Foundations of Security module for undergraduate students in computing and cybersecurity at a UK public university between 2019 and 2025. The redesign aimed to enhance student learning, engagement, and critical thinking through the embodiment of evidence-based pedagogical strategies, including flipped classroom delivery, blended learning, gamified practical exercises, repeated low-stakes mock assessments, and structured problem-solving activities. Student feedback, assessment outcomes, attendance records, and faculty reflections were analysed to evaluate the effectiveness of the redesign. The results indicate substantial improvements in student …
The Role Of Emerin In Myogenic Differentiation, Nicholas Marano
The Role Of Emerin In Myogenic Differentiation, Nicholas Marano
Theses and Dissertations
The nucleus harbors genetic material encapsulated by the nuclear envelope which is composed of an inner and outer nuclear membrane. The establishment and organization of chromatin at the INM is essential for cell fate during the differentiation program. Integral INM proteins are responsible for chromatin organization at the nuclear envelope. Emerin is a highly conserved type II integral INM protein with roles in chromatin organization, cell signaling, and nuclear structure. Mutations in the emerin gene cause Emery Dreifuss Muscular Dystrophy 1 (EDMD1). Emerin is ubiquitously expressed, but loss of emerin function affects specifically skeletal muscle and cardiac tissue. The precise …
How Losing My Phone Saved My Life
How Losing My Phone Saved My Life
Emerging Writers
The author describes their journey through a mental health episode, choosing treatment, and concluding a stay at a health support facility. Please note that the author has chosen to publish under a pen name to protect their privacy.
AiXGa1−XN (0.7 < X < 1) Schottky Diodes Using Distributed Polarization Doped Layer With A Current Density Of 14 Ka/Cm2, Tariq Jamil, Abdullah Al Mamun Mazumder, Mafruda Rahman, Muhammad Ali, Grigory Simin, M. Asif Khan
AiXGa1−XN (0.7 < X < 1) Schottky Diodes Using Distributed Polarization Doped Layer With A Current Density Of 14 Ka/Cm2, Tariq Jamil, Abdullah Al Mamun Mazumder, Mafruda Rahman, Muhammad Ali, Grigory Simin, M. Asif Khan
Faculty Publications
High Al-content AlxGa1-xN (0.7 < x < 1) quasi-vertical Schottky barrier diodes (SBDs) with distributed polarization doping were grown on the bulk AlN substrate. They exhibit excellent rectification behavior with a large forward current density (~14 kA/cm2 ) and a high breakdown field of ~8.3 MV/cm. The SBDs also exhibited low ideality factors of (n~1.2) with a high Schottky barrier height (Φ b~ 1.7 eV). Thus, this study demonstrates the feasibility of the distributed polarization doping approach for high current–high voltage devices.
Starting The Engine, Rowan Rodgers
Starting The Engine, Rowan Rodgers
Emerging Writers
This is a nonfiction narrative about how the author gained and grew their motivation for fine arts and education. The piece discusses early obstacles in school and how the author eventually overcame them with newfound skills and supporters.