Digital Commons Network^™

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 …

System And Method For Temporally-Correct Point-In-Time Embedding Reconstruction From Append-Only Accumulator Delta Logs, Durga S. Kala, Xinrong Huang, Nishanth Telukunta, Sreekanth Kanichetty

Defensive Publications Series

A system (200) for point-in-time reconstruction of time-decayed behavioral embedding accumulator states for payment entities includes an append-only accumulator delta log (202) that records, for each accumulator update event, an entity identifier, an exact authorization timestamp, a D-dimensional embedding delta, a pre-computed exponential decay factor, and the resulting accumulator weight. A checkpoint store (204) periodically snapshots the accumulator state including a decayed sum, a total weight, and a timestamp for each entity. A reconstruction engine (206) reads the latest checkpoint prior to a query timestamp, replays all delta log entries for the entity with timestamp strictly less than the query …

Decoupled Pricing And Fulfillment Arbitrator For Multi-Destination Agentic Commerce Systems, Richa Gupta

Defensive Publications Series

A decoupled pricing and fulfillment arbitrator extends the Universal Commerce Protocol (UCP) to maintain volume-based discounts for e-commerce orders shipped to multiple destinations. The system operates through a two-phase cryptographic handshake, where the arbitrator first validates the total item quantity in a cart to secure a global price lock from a merchant’s application programming interface (API). The arbitrator then atomizes the single order into multiple, concurrent fulfillment requests, one for each distinct shipping address. By embedding a cryptographic bulk token into each parallel request, the arbitrator instructs the merchant’s system to bypass standard single-destination validation rules and apply the pre-approved …

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 …

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 …

Rule Based Pre-Execution Validation Of Financial Transactions With Generative Anomaly Explanations, Shalini Jha, Farhan Rawani, Bhaskar Mangalampalli, Alba Campus, Sanhitha Seerapu, Millie Martin, Arib Shan, Tilottama Basu, Amogh Badugu, Sai Krishna, Ramya Karyampudi

Defensive Publications Series

Financial transaction processing systems, for example in payroll, can face challenges where validation is reactive, leading to the late discovery of complex discrepancies after payments are executed. A system and method are described for pre-execution validation of financial transactions. The system can function as a validation layer that applies business rules to batches of transaction data using techniques such as set-based processing. This approach can identify potential anomalies across large datasets before execution. For detected anomalies, a generative model can produce a human-readable explanation detailing a potential rule violation and the associated data. This pre-execution identification and contextualization of potential …

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 …

Fall 2026 Environmental Sciences Seminar Series, Jingyan Huang, Jingyan Huang

NRESS Seminars

This seminar presents a game-based social simulation of emergency response to water contamination, in which large language model (LLM) agents represent stakeholders with diverse roles, information, incentives, and constraints.

Through unfolding crisis scenario, the simulation explores how communication, coordination, and decision making shape collective outcomes under uncertainty. In this seminar, I will discuss the game’s design, the use of LLMs to model social interaction, and opportunities and limitations for research, training, and practical policy experimentation.

Teaching Individuals With Autism To Mand For Choice-Making Opportunities, Sarah T. Kong

Doctoral Dissertations - College of Arts and Sciences

The integration of choice-making opportunities into behavior analytic treatment has produced improvements in the lives of individuals with autism. Although researchers have focused on improving staff presentation of choice-making opportunities (Van der Meer et al., 2017), this approach places choice-making under the stimulus control of staff initiations and may result in missed opportunities for the child to make choices when it is most valuable to them. We evaluated the effectiveness of a mand training procedure to teach individuals with autism to request choice-making opportunities. Single trials were interspersed into participants’ typical treatment programming and contexts were designed to establish the …

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 …

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 …

Standardizing Tracheostomy And Laryngectomy Terminology For Patient Safety: Global Outlook, Naomi Nancy Simon Walter, Michael J. Brenner, Vinciya Pandian

International Nursing Research Congress (INRC)

Background: Patients who breathe “through the neck only” following tracheostomy or total laryngectomy cannot be ventilated through the mouth or nose. Misunderstanding or misuse of airway terminology can lead to catastrophic management errors, including hypoxia, brain injury, or death. Despite growing awareness, no standardized, patient-centered nomenclature exists for describing airway anatomy in these populations.

Purpose: To clarify and standardize terminology describing tracheostomy and laryngectomy airway anatomy by conducting a global mixed methods survey of healthcare professionals (HCPs), patients, families, and caregivers (PFCs), promoting accuracy, safety, and patient-centeredness in communication.

Methods: A multidisciplinary team developed and iteratively refined a survey instrument …

Empowering Edge Intelligence Through Reparameterized Lightweight Transformers And Distributed Inference, Hosein Esmaeili, Mohammad Ali Afshar Kazemi, Reza Radfar, Nazanin Pilevari

Turkish Journal of Electrical Engineering and Computer Sciences

Deploying advanced transformer-based models on resource-constrained edge devices remains a significant challenge due to their high memory footprint and substantial compute requirements. In this paper, we propose a reparameterized transformer framework that integrates High-Rank Factorization (HRF) during training, layer merging at inference, and dynamic, load-balanced distributed inference across multiple devices. To further reduce resource usage, our framework supports mixed-precision quantization down to 4-bit, enabling flexible accuracy–latency–energy trade-offs. Experimental evaluations on the ESC-50 environmental sound dataset demonstrate that our method matches or exceeds the performance of larger baseline models while using 20–30% fewer parameters, achieving up to 48% latency reduction in …

Black Existential–Spiritual Counseling: A Content Analysis, Miles Matise

Journal of Social, Behavioral, and Health Sciences

Black American existential–spiritual counseling integrates existential philosophy with the unique cultural, historical, and spiritual contexts of Black Americans to address their psychological and spiritual needs. Rooted in the lived experience of systemic oppression, alienation, and the quest for identity and freedom, this counseling approach emphasizes meaning-making, personal responsibility, and authentic living. It acknowledges the interconnectedness of spirituality and psychology, recognizing the importance of the Black church, music, and communal values in fostering resilience and empowerment. Drawing on existential themes, such as mortality, freedom, loneliness, and purpose, this approach supports clients in navigating sociocultural stressors and generational trauma through a spiritually …

Developing A Protocol To Obtain Source Directivity Of Hydroacoustic Transducers In A Water Tank, Benjamin White

Undergraduate Honors Theses

This thesis describes the formulation and application of a methodology designed to obtain source directivity of hydroacoustic transducers in the BYU Underwater Acoustics Laboratory. Piezoelectric transducers are presented, and common methodologies to measure their directivity are reviewed. The schematics of the BYU Underwater Acoustics Lab are explained, including the use of positioning robots to position the source-receiver pair in the measurement chain. The protocol is divided into different configurations comprising various source-receiver orientations. The processes of time gating, calculation of OASPL, and plotting onto directional axes are described. The protocol is tested across four different alternative configurations, including one method …

Degree Assortativity And Estimation Of Degree Distribution In A Contact Network Of People Who Inject Drugs, Peter Geissert

Dissertations and Theses

This dissertation analyzes data from a respondent driven sampling (RDS) study of people who inject drugs in Portland, OR.  The objective was to assess assumptions for the use of weighted estimators to estimate a population physical contact (syringe sharing) network degree distribution.

Visualization of degree distribution for social and physical networks, Kolmogorov-Smirnov tests of difference, and kernel tests of equivalence were used for comparison of distributions. Spearman's rho and GAM non-parametric regression models were used to test for association and assess non-monotonic relationship. The validity of Markov chain assumptions for RDS was assessed using a transition matrix, Markov chain graphs, …

Cover And Contents

Turkish Journal of Zoology

No abstract provided.

Artificial Intelligence Use Disclosure Student Rubric, Maxwell Gray, Nicole Bungert

Library Tools and Learning Resources

No abstract provided.

Artificial Intelligence Use Disclosure Student Log, Maxwell Gray, Nicole Bungert

Library Tools and Learning Resources

No abstract provided.

Artificial Intelligence Use Guidelines, Maxwell Gray, Nicole Bungert

Library Tools and Learning Resources

No abstract provided.

Cover And Contents

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

A Binary Multiobjective Hippopotamus Optimization Algorithm For Feature Selection In Phishing Website Detection, Fatima Belmessaoud, Sofiane Maza, Djaafar Zouache

Turkish Journal of Electrical Engineering and Computer Sciences

Phishing website detection remains a major challenge in cybersecurity as attackers continuously develop new techniques to deceive users. Identifying the most informative features from large datasets is essential to improve classification accuracy while reducing computational complexity. Feature selection is therefore widely addressed using metaheuristic optimization techniques due to their flexibility and global search capability. In this study, we propose a Binary Multiobjective Hippopotamus Optimization Algorithm (B-MOHOA) for feature selection in phishing website detection. The proposed method simultaneously optimizes two conflicting objectives: maximizing classification accuracy and minimizing the number of selected features. Unlike many existing studies that mainly focus on transfer …

Range–Angle-Dependent Oam Beamforming With A Concentric Helical Circular Fda, Uğur Yeşi̇lyurt

Turkish Journal of Electrical Engineering and Computer Sciences

Secure and spatially selective wireless transmission requires orbital angular momentum (OAM) beams that are confined to a specific range and angle, rather than propagating indefinitely along the beam axis. In this paper, a concentric helical circular frequency diverse array (CHCFDA) is proposed to generate range–angle-dependent OAM beams without requiring external phase shifters. The helical element positioning inherently provides the necessary interelement phase distribution through physical step height, while logarithmically increasing frequency offsets are applied across concentric rings—and optionally across individual elements—to eliminate range periodicity and achieve a single, well-focused OAM beam exclusively at the target location. Both linear and logarithmic …

Midweek Memo, Georgia Southern University

Midweek Memo

• Applaud 
• Remember 
• Share 
• Experience 
• Around the Nest

Human Service Professionals’ Support And Practice-Informed Strategies For Uninsured And Underinsured Adults Needing Mental Health-Related Services In Brazoria County, Texas, Henry Palacios

Walden Dissertations and Doctoral Studies

Access to mental health-related services has remained a significant human services concern for uninsured and underinsured adults in Brazoria County, Texas, where financial, transportation, provider-capacity, and service-coordination barriers affected access and continuity of care. The purpose of this qualitative modified action research study was to explore how human service professionals supported uninsured and underinsured adults needing mental health-related services and to identify practice-informed strategies to improve access, coordination, and continuity of care. Lewin’s change theory provided the theoretical framework. The research question explored how human service professionals supported this population and identified strategies to strengthen access, coordination, and continuity of …

Common Ground Newsletter Fall 2026, Missouri University Of Science And Technology

Common Ground

- Q&A Experiences

- Shaping the next generation

- Chi Epsilon earns four awards

- Summer Camps

- Design Team Results

The Current - Volume 37 Issue 02, Nova Southeastern University

Student Newspapers

No abstract provided.