Digital Commons Network^™

Ai Agent Watermarking, Raul Casas, Mihailo Kolundzija, Keith Griffin, Samer Hijazi

Defensive Publications Series

Artificial intelligence (AI) agents are used in a variety of call center or customer service environments.  Many times, a human caller may not be aware that they are speaking with an AI agent, which such callers may perceive as deceptive, manipulative, and/or nonconsensual.  Proposed herein are techniques for disclosing the identity of AI virtual agents that are being used during phone calls with humans. The techniques may help to reduce misuse of AI virtual agent products provided by an enterprise, thereby helping to maintain the enterprise's image as a trusted brand and setting an example to follow in the industry.

Channel Outage Recovery Using Replayed Content, Taliver Heath

Defensive Publications Series

Television services can deliver media to users over source channels, which can include cable, satellite, or internet-protocol channels. A source channel may broadcast media on a schedule common to all users of the channel. A digital video recorder (DVR) feature can allow users to schedule recordings of upcoming airings so that content is available for later playback. An airing can be a scheduled broadcast of a program on a source channel during a defined time window. When a user schedules a recording, a recording service can monitor the channel feed of the source channel during the airing. A channel feed …

Response To Reviewers — Emancipations Symposium On Profit And Power, Ronen Palan

Emancipations: A Journal of Critical Social Analysis

No abstract provided.

Ronen Palan's World View: Bringing The State Back In, Steve Schifferes

Emancipations: A Journal of Critical Social Analysis

No abstract provided.

After The Fall: Reflections On My Critics, Ian Shapiro

Emancipations: A Journal of Critical Social Analysis

No abstract provided.

Hope In The Shadow Of Impasse: Analytic Logic Vs The Rhetoric Of Optimism In Ian Shapiro’S After The Fall, Albena Azmanova

Emancipations: A Journal of Critical Social Analysis

No abstract provided.

Ian Shapiro's After The Fall Is Harsh, But Not Harsh Enough, James K. Galbraith

Emancipations: A Journal of Critical Social Analysis

No abstract provided.

A Decline That Began At The Start Of The Journey, Not At The End: Thoughts On Ian Shapiro’S After The Fall, Nadia Urbinati

Emancipations: A Journal of Critical Social Analysis

No abstract provided.

Changing The Wind’S Direction: Reflections On Ian Shapiro’S After The Fall, Stefan Eich

Emancipations: A Journal of Critical Social Analysis

No abstract provided.

Roses For Keynes And Dead Flowers For Reagan In Shapiro’S After The Fall, Ian Hurd

Emancipations: A Journal of Critical Social Analysis

No abstract provided.

“Don’T Tell Me To Keep Doing What I’M Doing, When I’M Risking My Life Trying To Get You To Do Your Job”: Thoughts On The Politics Of Distance, Anonymous Author

Emancipations: A Journal of Critical Social Analysis

No abstract provided.

Eviscerating The State: An Update, Jean L. Cohen

Emancipations: A Journal of Critical Social Analysis

A year after the publication of her article “Eviscerating the State: The New Oligarchic and Authoritarian Project to Undermine American Constitutional Democracy (Emancipations, Vol.4: Iss.2, July 2025) Jean Cohen looks again at the threats to American constitutional democracy posed by new oligarchic and authoritarian actors in the economy, the state, and society.

From Monopoly To Orchestration: The Hilltop And Farm Youth And The Changing Organization Of State Coercion - The Israeli Case, Idan Yaron

Emancipations: A Journal of Critical Social Analysis

Drawing on more than a decade of ethnographic fieldwork – as a social anthropologist, studying the Far Right in Israel, on the ground, and through intimate and prolonged relationships with opinion leaders and rank-and-file activists – this essay examines the Hilltop and Farm Youth in the West Bank to reconsider Charles Tilly's influential account of state formation and the organization of coercion. It asks a simple but troubling question: why would a powerful modern state, fully capable of suppressing autonomous violent actors, sometimes allow them to persist? I argue that Tilly's theory should be confirmed, adapted, and amended. His fundamental …

Uneven And Combined Fascism: A Postapocalyptic Perspective, Daniel Loick

Emancipations: A Journal of Critical Social Analysis

This essay develops the concept of “uneven and combined fascism” as an alternative to dominant liberal approaches that understand fascism primarily as a future rupture or return of the European past. Analogizing the crisis of democracy with environmental crisis, it argues that fascism, like ecological catastrophe, should be understood as an ongoing and differentially distributed condition: already present for some while remaining latent or emergent for others. The essay develops this claim by consulting approaches of "postapocalyptic environmentalism" as well as thinkers and activists from the Black Radical Tradition, particularly the analyses of Aimé Césaire and the Civil Rights Congress’s …

Border Fascism And The Fascistization Of Society, Nicholas P. De Genova

Emancipations: A Journal of Critical Social Analysis

The massive destruction and social dislocation wrought by capitalist crisis has culminated, historically, in the brutal cataclysms of fascism and other forms of authoritarian rule. Today, across the globe, we are confronted with the aggressive advance and entrenchment of a variety of such authoritarian political projects. Anxious discourses about ascendant fascism have become perfectly mainstream. These developments command our acute attention and critical analysis. This essay addresses these dire questions and the conceptual vexations surrounding the concept of fascism, particularly as it has been elaborated in various Marxist analyses.  Specifically, much of the debate around fascism as an analytical category …

Premolar Extraction, Upper Airway Changes, And Obstructive Sleep Apnea Risk: A Narrative Review, I-Ta Lee

Articles in Press

No abstract provided.

Cpeven‑Ω2.0 Caldwell Planetary Environmental Verification & Early‑Warning Network, Michael Victor Caldwell Mr.

Defensive Publications Series

CPEVEN‑Ω2.0 is a fully open, modular, multi‑physics environmental measurement and verification architecture designed for global deployment. It integrates reference‑grade sensors, distributed open nodes, multi‑physics correlation, artifact detection, uncertainty‑aware fusion, satellite/model comparison, source attribution, and experimental technology validation into one unified system.

CPEVEN‑Ω2.0 is not a sensor.

It is not a weather station.

It is not a model.

It is not a prediction engine.

It is a planetary environmental verification network that preserves raw measurements, validates experimental technologies, correlates multi‑domain signals, and produces reproducible environmental intelligence.

Every module is open hardware.

Every interface is documented.

Every measurement is traceable.

Every experimental …

A Load-Bearing, Fluid-Mediated Robotic Joint Architecture Combining Variable-Geometry Friction Interlocks With Passive Multi-Stage Granular Jamming Inside A Tensegrity Compression Frame, Volodymyr Kotegov

Defensive Publications Series

This paper describes the QUINTO-CMC modular articulation architecture, built to hold high structural loads in contaminated or corrosive operating environments while cutting static holding power to a minimal telemetry-only draw. The system replaces high-maintenance, actively powered joints with an unpowered, field-replaceable cartridge that locks mechanically under zero electrical load. The physical joint module weighs no more than 1.75 kg. Static holding draw is limited to 18–25 W for telemetry and monitoring alone — the mechanical lock itself needs no electrical power. Three kinematically uncoupled passive locking layers trigger in sequence during pressure drops or sudden fluid loss. The primary retention …

Explainable Ai-Governed Namespace Capability Risk Brokerage With Kernel-Enforced Operation Leases, Bharat Kumar Putta

Defensive Publications Series

A security architecture is proposed herein for controlling privileged actions by artificial intelligence (AI) agents and automated workloads across operating-system, container, cluster, and tenant namespaces. The architecture evaluates cumulative capability risk and issues narrowly scoped, short-lived operation leases. Each lease is cryptographically bound to the requesting workload, target object, operation arguments, namespace context, policy version, and a human-auditable explanation, and is verified by the operating-system kernel at the moment of execution. By replacing broad standing privileges and application-layer allow decisions with explainable, context-sensitive least privilege, the architecture reduces the time-of-check-to-time-of-use gap, supports immediate invalidation when relevant context changes, and creates …

Method And System For Consumer-Specific Attribute Filtering In Distributed Message Brokers, Soumendra Kumar Mishra, Mansi Singh, Ravi Shanker Kumar Sinha, Amitabh Ranjan, Katyayani Kiranmayee Kolluru, Sumit Kumar

Defensive Publications Series

A system for consumer-specific attribute filtering in a distributed message broker environment is provided. The system includes an attribute subscription registry configured to store a consumer identifier, a topic identifier, and a list of permitted attribute paths for each consumer. The system includes a producer interface configured to publish a canonical message payload containing a plurality of attributes to a message broker, compute an Attribute Location Index during serialization that maps each attribute name to byte offset boundaries within a serialized message body, and attach the Attribute Location Index as a message header. The system includes the message broker configured …

Portrait: Holistic Data Visualization Using Neural Networks, Chayan Maitra

Doctoral Theses

With the exponential growth of complex data across domains, effective visualization has become increasingly crucial for understanding relationships hidden within high-dimensional spaces. However, existing visualization techniques often struggle to effectively capture and represent such high-dimensional data. Motivated by this challenge, we have developed NeuroDAVIS, a neural network model designed to visualize high-dimensional data by extracting meaningful latent representations through deep feature extraction. While NeuroDAVIS has successfully addressed the visualization aspect, we have soon recognized the necessity of identifying the most relevant features that contribute to the visualization and downstream analysis. To address this issue, we have extended our framework and …

Understanding The Lived Experiences Of Individuals With Post-Acute Sequelae Of Sars-Cov-2 Infection (Pasc) In Rwanda: A Phenomenological Qualitative Study, Iliza Grace Ndatinya, Simal Thind, Fernand Rwamwejo

Global Health Articles

OBJECTIVES: To qualitatively explore the lived experiences of individuals with post-acute sequelae of SARS-CoV-2 infection (PASC) in Rwanda, with the aim of informing context-appropriate interventions to improve patients' quality of life.

DESIGN: Qualitative, phenomenological study using in-depth interviews and thematic analysis.

SETTING: All provinces of Rwanda, including the City of Kigali.

PARTICIPANTS: Adults who tested positive for PASC during a nationwide prevalence study were purposively sampled across all study sites. A total of 30 people were interviewed before saturation was reached.

RESULTS: Participants' lived experiences with PASC were characterised by numerous themes. Despite describing significant life changes since their COVID-19 …

2026-2027 Philharmonia Season Program, Lynn University Conservatory Of Music, Lynn Philharmonia, Guillermo Figueroa, Kenneth Amis, Jon H. Robertson, Aidan Quintana

Philharmonia

Lynn University Wind Ensemble ("The Wind Symphony: Movement 4)

• Saturday, Sept. 19, 2026 at 7:30 p.m.
• Kenneth Amis, conductor

Lynn Philharmonia No. 1 ("Mystery and Revelation")

• Saturday, Oct. 3, 2026 at 7:30 p.m. and Saturday, Oct. 3, 2026 at 7:30 p.m.
• Guillermo Figueroa, conductor
• Kenneth Amis, tuba

Lynn Philharmonia No. 2 ("Halloween Spectacular!")

• Saturday, Oct. 3, 2026 at 7:30 p.m. and Sunday, Nov. 1, 2026 at 3 p.m.
• Guillermo Figueroa, conductor

Lynn Philharmonia No. 3 - Concerto Competition Winners' Concert

• Saturday, Nov. 14, 2026 at 7:30 p.m. and Sunday, Nov. 15, 2026 at 3 p.m.
• Guillermo Figueroa, conductor

Lynn Philharmonia …

Challenges, Trends, And The Role Of Lstm In Ai-Based Predictive Maintenance Of Electrolyzers For Solar Hydrogen Systems: A Review, Yani Koerniawan Kuatno, Muhamad Zahim Sujod

Turkish Journal of Electrical Engineering and Computer Sciences

The transition toward low-carbon energy systems has increased interest in hydrogen as a clean energy carrier, with solar-driven water electrolysis emerging as a promising technology due to its high efficiency and compatibility with renewable energy sources. However, dynamic operating conditions and intermittent renewable input accelerate electrolyzer degradation, reducing reliability and system lifespan. Predictive maintenance (PdM), supported by artificial intelligence (AI), offers a data-driven approach to anticipate failures and improve operational durability. This review systematically investigates AI-based PdM approaches for electrolyzers, with an emphasis on long short-term memory (LSTM) networks and Internet of things (IoT) integration. Following PRISMA 2020 guidelines, 35 …

Dynamic Focal Loss Adjustment For Railway Defect Detection, Mehmet Koç, Ridvan Özdemi̇r, Ömer Gerek

Turkish Journal of Electrical Engineering and Computer Sciences

Railway infrastructure is critical to the safe and efficient operation of transportation systems, and the early detection of defects is essential for preventing catastrophic failures. Automated defect detection methods are therefore crucial for maintaining continuous safety while reducing maintenance costs. Although Focal Loss is widely used in object detection under class-imbalanced conditions, its fixed α parameter may limit its effectiveness in detecting rare defects. In this study, we propose an adaptive α-tuned Focal Loss approach that dynamically adjusts class weights based on average precision (AP) values. By iteratively optimizing α without relying on gradient-based optimization, the proposed method improves the …

Relative Rate Observer-Based Online Tuning Mechanism For Single-Input Interval Type-2 Fuzzy Pid Controllers, Oqba Aldreiei, Cenk Ulu, Mert Can Kurucu, Müjde Güzelkaya

Turkish Journal of Electrical Engineering and Computer Sciences

The characteristics of the footprint of uncertainty (FOU) in interval type-2 membership functions (IT2-MFs) are crucial to the performance and robustness of interval type-2 fuzzy controllers (IT2-FCs). However, existing IT2-FC design approaches mostly use fixed FOU structures. This study proposes an online membership function (MF) adjustment mechanism for a single-input interval type-2 fuzzy PID controller (SIT2-FPID)  that adjusts the FOU of the antecedent MFs and weights of the consequent MFs, respectively, to achieve high performance and robustness. The proposed online adjustment mechanism consists of a relative rate observer (RRO), a two-input rule-base adjustment system, and a first-order smoothing filter. The …

Cuip-X25: A Real-World Network Intrusion Dataset For Next-Generation Ai-Driven Security, Arshad Iqbal, Sohail Asghar

Turkish Journal of Electrical Engineering and Computer Sciences

The efficacy of artificial intelligence (AI) in intrusion detection systems (IDS) is critically dependent on high-fidelity training data. However, as detailed in the manuscript's literature review, existing benchmark datasets are predominantly synthetic, outdated, or imbalanced and fail to capture the complexity of the contemporary threat landscape. To bridge this gap, this study introduces CUIP-X25, a novel real-world cyber-attack dataset captured over a four-month period using a dionaea honeypot deployed on a public network. Unlike synthetic alternatives, this dataset provides an authentic representation of modern adversarial tactics, techniques, and procedures, encompassing 3.16 million real events across ten distinct attack categories, including …

Robust Load Frequency Control For Multiarea Electrical Power Systems Via Analytical Proportional-Integral-Derivative Plus Second Order Derivative Controller Design, Yavuz Güler, Mustafa Nalbantoğlu, Ibrahim Kaya

Turkish Journal of Electrical Engineering and Computer Sciences

This research presents a proportional-integral-derivative plus second order derivative (PIDD2) controller design based on the Direct Synthesis Method (DSM) for load frequency control (LFC) of interconnected power systems. The parameters of the proposed PIDD2 controller are determined using the DSM, which offers an analytical approach for tuning. The design approaches have been developed specifically for single, two, and three-area power systems, encompassing nonreheated and reheated thermal turbines. In the proposed design method, the best values of PIDD2 controller parameters were found by using a multicriteria objective function that includes the integral of absolute error (IAE) and settling time. In response …

Boundary Layer Sliding Mode Control Strategy For Variable-Speed Compressor In Deep Freezers: Experimental Validation Of Energy Efficiency And Freezing Capacity, Sertan Aksoy, Kami̇l Çeti̇n, Sezai̇ Taşkin

Turkish Journal of Electrical Engineering and Computer Sciences

This study presents the design and experimental validation of a nonlinear sliding mode controller developed for a deep freezer equipped with a variable-speed compressor. The proposed control strategy aims to minimize energy consumption while maintaining rapid and stable cooling performance under varying ambient conditions. A detailed thermal model of the deep freezer was established using an equivalent resistance–capacitance network representation, enabling precise analysis of temperature dynamics. The sliding mode-based control algorithm dynamically adjusts the compressor’s operating frequency according to temperature deviation, ambient conditions, and time-dependent factors, providing robust performance without requiring parameter retuning for different models. Beyond theoretical-based analysis, a …

Impact Of Physical Disabilities On Daily Life, Mobility, And Public Health Outcomes Among Internally Displaced Children In Nigeria, Winnifred Obeya-Ekoja

Walden Dissertations and Doctoral Studies

The growing population of internally displaced persons (IDPs) in Nigeria presents significant public health challenges for children with physical disabilities. This study investigated how physical disabilities affect daily life, mobility, access to resources, and health outcomes among internally displaced children in IDP camps in Benue State, Nigeria. Guided by the ecological model of health behavior, the study examined caregivers’ experiences of children’s self-care, daily activities, environmental and interpersonal conditions, sanitation, and access to healthcare. A basic qualitative design used semi-structured interviews with parents and caregivers selected through purposive and snowball sampling. Data were analyzed using Braun and Clarke’s six-phase thematic …