Digital Commons Network^™

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.

Dose-Dependent Effects Of Exosomes On The Viability And Differentiation Of Human Dental Pulp Stem Cells, Tsui-Hsien Huang

Articles in Press

No abstract provided.

Schwannoma Of The Lower Lip Clinically Mimicking An Irritation Fibroma, Qian-Ming Chen

Articles in Press

No abstract provided.

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 …

Selective Bookmarking And Curated Export Of Conversational Ai Message Turns To External Documents And Notebooks, Richa Gupta

Defensive Publications Series

In multi-turn conversations with conversational artificial intelligence, details established in earlier turns are prioritized less than more recent turns as a session grows longer, and locating or reusing valuable content from within a long conversation typically requires scanning the full transcript or manually copying individual passages. This disclosure describes a message-anchoring and bookmarking approach in which each conversational turn is assigned a persistent identifier. A cited identifier is used to isolate and prioritize the corresponding turn, while unrelated conversational content is masked from further processing. Selected turns are additionally flagged through a bookmarking control, and the flagged turns are compiled, …

Dynamic Ir-Drop Prediction For Analog-Mixed-Signal Blocks Using A Two-Stage Graph Network Architecture, Prateek Pendyala

Defensive Publications Series

Dynamic IR-drop verification, the analysis of transient supply voltage sag caused by currents in resistive supply metal, can become a simulation bottleneck for analog-mixed-signal (AMS) blocks.  Layout-dependent current profiles may demand long transient simulation runs, and a custom analog power delivery network (PDN) lacks the structured grid routing found in digital designs.  A prediction method addresses these limitations in two stages.  A first stage applies graph attention layers to a circuit graph once per circuit and caches the resulting static embedding.  From the cached static embedding, a recurrent waveform predictor forecasts transient supply currents without graph operations in a time-stepping …

Remote Control Using Render Buffer Accessibility Extraction, Inductively Powered Electrophoretic Keycaps, And An Ultra-Wideband Pointing Latch, Stenal P. Jolly

Defensive Publications Series

Streaming applications on a smart television often render an interface into a single hardware-accelerated graphics surface.  A native accessibility engine may treat that surface as one opaque node, and printed remote keycaps do not follow the content on screen.  A remote control system addresses these limitations by extracting geometry and text directly from a graphics processing unit (GPU) render buffer of a host computing device.  The system rebuilds a virtual accessibility tree once per render frame.  Compact per-key updates travel over a low-energy wireless link to electrophoretic keycap displays, and inductive power regulation holds each keycap display at a steady …

Routability-Aware Decoupling Capacitor Insertion Using Trial-Route Lookups And Linear Programming, Prateek Pendyala

Defensive Publications Series

Dynamic IR drop, a transient loss of supply voltage proportional to current (I) and resistance (R), can erode timing margins on advanced process nodes.  Decoupling capacitors (decaps) inserted near cells with high switching activity can suppress the drop.  The regions that need decaps, however, tend toward heavy routing congestion, so a newly placed decap can trigger detailed routing design rule violations (DRVs).  An example routability-aware method selects decap locations and bounded cell moves through a linear program built from measured routing data.  The method models cell currents as rectangular envelopes over binned time, computes a missing charge from a charge …

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 …

Two‑Phase Trust‑Region Constraint Programming With Dynamic Bounds Scaling For Macro Legalization And Alignment, Vijayavelu S, Amit Saluja, Surya Barik, Arijit Hazra

Defensive Publications Series

Legalizing a mixed‑size layout that holds large hard macro blocks together with millions of standard cells becomes difficult at advanced technology nodes, where mismatched technology grids and zero‑slack boundaries leave narrow room for movement.  Prior approaches bound macro movement with one static displacement limit, so a tight limit can leave macros out of alignment and a loose limit can deadlock a discrete engine.  Disclosed is a two‑phase method that separates legalization from alignment.  A first phase carries hard feasibility rules without an alignment objective and returns a legal coordinate set.  A bounds scaling module then sizes a search window for …

Contention-Based Write Pulse Modulation On A Replica Timing Path For Process-Tolerant Sram Write Operations, Abhishek Dalal, Ayush Kulshrestha, Ajith K. P, Guru Shamanna, Akash Jha

Defensive Publications Series

Write margins in a static random-access memory (SRAM) array shift with semiconductor process variation, and the shift grows severe at the slow-NMOS/fast-PMOS (SF) corner, where a strong pull-up network inside a storage cell resists an overwrite.  A raised supply voltage widens that mismatch gap further.  A write pulse modulation method addresses the problem by coupling a contention circuit to the dummy bitline of a replica timing path.  The contention circuit holds an active pull-up against a dummy pull-down network, so the discharge rate of the dummy bitline follows the local ratio of PMOS drive to NMOS drive.  Reset logic ends …

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 …

Continuous Dimension Extraction For Semantic Product Organization, Nathan Grabaskas

Defensive Publications Series

Systems for organizing products on digital commerce platforms can be limited by rigid taxonomies that may not capture nuanced attributes, and some high-dimensional vector representations can lack interpretability. A computational framework can transform product information into a semantically organized and navigable space. The framework can encode products into high-dimensional vectors and then employ two parallel processes. One path may use clustering algorithms and generative language models to group products into labeled sub-archetypes. A second path may use non-linear dimensionality reduction followed by an iterative principal component analysis to extract and label continuous trade-off axes from the data. The resulting clusters …

Steering Generative Ai Responses By Predicting User Intentions Using Slms And Behavioral Telemetry, Rachit Mathur, Payal Shah

Defensive Publications Series

Current conversational AI systems rely on monotonic streaming, requiring users to wait for complete responses before correcting misinterpretations. This disclosure describes a bifurcated dual-dispatch architecture that steers generative AI outputs mid-stream. By pairing a localized Small Language Model (SLM) shadow parser with a high-capacity frontier LLM, the system dynamically analyzes real-time client-side behavioral telemetry - including keystroke dwell times, backspace mutation ratios, and paste metadata to predict user intent and cognitive friction. When volatile semantic nodes or potential intent mismatches are detected, the SLM executes pre-emptive mitigations by tuning inference hyperparameters (such as temperature) or surfacing non-blocking, inline "intent chips" …

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 …

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 …

Welcome To Our Charity Bazaar, Leslee Thorne-Murphy, Maggie Kopp

Faculty Publications

Catalog for the 2017-2018 exhibit at L. Tom Perry Special Collections, BYU Library. Charity bazaars were a product of a massive nineteenth-century philanthropic undertaking in the United Kingdom, as private citizens attempted to respond to the social ills created by a rapidly industrializing economy. Bazaars combined the entertainment value of a social gathering and the fun of a town fair, with the moral earnestness of philanthropic work. Typically organized by women, these bazaars offered handmade goods for sale, raising funds for numerous local and national charitable causes. The exhibit showcases the history and print culture of the charity bazaar, from …

Exploring Which Ehr Interventions Improve Heart Failure Hospitalization Outcomes Across 10 Hospitals, Sheraz Qamar, Andres Alvarado, Thomas Buckwalter, Patricia C. Henwood, Dana Jordan, Cara Martino, Jeffrey Riggio, Charlotte Sacksteder, Jared Vanderzell, Alan Kubey

Department of Medicine Faculty Papers

BACKGROUND: Heart failure (HF) remains a major cause of mortality and hospitalization despite advances in guideline-directed medical therapy (GDMT). Electronic health record (EHR)-based clinical decision support tools may improve care delivery, but their impact on outcomes remains ill-defined.

PROJECT RATIONALE: As part of a system-wide HF quality improvement initiative, we evaluated 2 EHR interventions: an evidence-based HF admission order set promoting early diuresis and GDMT optimization, and a templated HF documentation tool (HFNOTE) designed to capture clinical complexity.

PROJECT SUMMARY: We analyzed 4,865 HF hospitalizations across 10 hospitals between December 2024 and June 2025. Overall risk-adjusted mortality index was 0.83 …

Evaluating Electronic Health Record Intervention Efficacy In Enhancing Inpatient Initiation Of Guideline-Directed Medical Therapy, Sheraz Qamar, Trisha Sindhu, Charlotte Pirquet, Benjamin Richter, Charlotte Sacksteder, Tatianna Branch, Jeffrey Riggio, Cara Martino, Patricia C. Henwood, Alan Kubey

Department of Medicine Faculty Papers

BACKGROUND: Heart failure (HF) is a leading cause of hospitalization, morbidity, and mortality. Despite evidence supporting guideline-directed medical therapy (GDMT), prescribing remains suboptimal, particularly at hospital discharge.

PROJECT RATIONALE: Hospitalization provides an opportunity to initiate or optimize GDMT, but workflow barriers and practice variation limit implementation. To address this gap, our system implemented a system-wide HF quality improvement initiative featuring evidence-based order sets and an electronic health record smart phrase ("HFNOTE") to centralize and standardize documentation and encourage GDMT use.

PROJECT SUMMARY: We analyzed 2,859 HF hospitalizations across 10 hospitals between December 1, 2024 and June 30, 2025. Use of …

Caregiver Perspectives On Barriers And Facilitators To Adolescent Asthma Self-Management, Sangita Pudasainee-Kapri, Mei Rosemary Fu, Mary Wunnenberg

International Nursing Research Congress (INRC)

Background: Asthma is the most prevalent chronic disease in children and adolescents, disproportionately affecting minority adolescents from lower-income families (CDC, 2022). Adolescents from low-income and marginalized communities often face unique challenges with asthma control and management due to multiple adverse social and environmental factors. Caregivers play a critical role in daily asthma management (Margolis et al., 2019), however, self-management behaviors in minority families may be influenced by several individual and system level factors (Khan et al., 2021; Holley et al., 2017).

Purpose: This study aims to understand caregivers’ perspective on multilevel barriers and facilitators to adolescent asthma self-management in Camden …