Digital Commons Network^™

There And Back Again: A Writer's Tale, By A Repeat Student, Mark Ballou

Undercurrents: A Journal of Undergraduate Student Composition

Mark is an IT Major who lives in Boston, Massachusetts. Mark credits his parents for his life-long love of reading, and at a young age he loved writers, like J.R.R. Tolkien and R.A. Salvatore, who “in addition to having abbreviations for their first names, share an affinity for spending pages and pages describing the visuals in their books.” Mark is an Army veteran with nine years of service, and he has spent most of his adult life writing as a Counterintelligence Agent for the US Army, employing his meticulous style into his written work. In this essay for his Composition …

The Insights Of Literacy, Yasmim Alves Da Silva

Undercurrents: A Journal of Undergraduate Student Composition

No abstract provided.

Advancing Occupational Therapy Practice: Evaluating A Continuing Education Module To Support The Integration Of 3d Printing Into Clinical Care, Sophia Wilkes, Rebecca Ozelie

Student Journal of Occupational Therapy

This study aimed to evaluate whether a continuing education module could improve occupational therapy practitioners’ perceived knowledge, awareness, confidence, and clinical utilization of 3D printing in occupational therapy practice, while also examining how access to resources may influence implementation A 14-week cross-sectional pre–post design was used with occupational therapy practitioners participating in a one-hour educational session followed by a three-week trial of 3D printer access. Participants completed pre- and post-surveys assessing perceived knowledge, awareness, and confidence, and maintained a utilization log to track clinical use.

Results indicated a statistically significant increase in perceived knowledge and awareness of 3D printing following …

The Ph-Pi3k/Akt/Mtorc1 Axis In The Survival Of Stem Cells From The Apical Papilla: A Critical Target For Rescue By Microenvironment-Engineered Hydrogels In Pulp Regeneration, Xiaozhe Wang

Articles in Press

No abstract provided.

Solar Cell Innovations For Renewable Research Frontiers, Ayad Abbood Abdulhasan, A. M. Mustafa, Mohanad Muzahem Khalaf, Hussain Zuhailawati

AUIQ Conference Proceedings

Solar photovoltaic (PV) technology stands at the forefront of the global renewable energy transition, offering a scalable, clean, and increasingly cost-competitive pathway to electricity generation. This article presents a comprehensive review of solar cell innovations within the framework of the science-energy (sci-energy) nexus, encompassing the full spectrum of photovoltaic material platforms from mature crystalline silicon to emerging perovskite, organic, and multi-junction architectures. Advanced device engineering strategies including tandem cells, heterojunction designs, light management techniques, and charge transport optimization are critically assessed. System-level considerations spanning grid-connected photovoltaics, building-integrated PV (BIPV), off-grid deployment, and hybrid renewable integration are examined alongside technical challenges …

Green Hydrogen In The Sci-Energy Nexus: A Review Of Renewable Pathways, Technologies, And Research Frontiers, Wan Nor Roslam Wan Isahak, Lina M. Shaker

AUIQ Conference Proceedings

Green Hydrogen has emerged as a pivotal vector in the global transition toward sustainable and low-carbon energy systems. This article provides a comprehensive review of Green Hydrogen within the framework of the science-energy (sci-energy) nexus, encompassing renewable production pathways, electrolysis technologies, system integration strategies, and emerging research frontiers. Solar, wind, hydropower, and biomass resources are examined as primary drivers of Green Hydrogen production, followed by a detailed analysis of alkaline water electrolysis (AWE), proton exchange membrane (PEM) electrolysis, and solid oxide electrolysis cell (SOEC) technologies. The article further addresses integration challenges including hydrogen storage, power-to-hydrogen systems, grid balancing, and coupling …

Saudi Heart Association Scientific Statement On Cardiovascular–Kidney–Liver-Metabolic (Cklm) Syndrome, Waleed Alhabeeb, Abdulhalim J. Kinsara, Ahmed Mitwalli, Ali A. Alshehri, Faisal Aba-Alkhail, Ismail Raslan, Khalid Aljohani, Mohammed Arafah, Muthana Sahlawi, Saud Alsifri, Suleiman M. Kharabsheh

Journal of the Saudi Heart Association

Background: Cardiovascular, kidney, metabolic, and liver diseases are closely interconnected and frequently coexist. While the cardiovascular–kidney–metabolic (CKM) framework provides a unified model, increasing evidence supports a central role for hepatic disease, particularly metabolic dysfunction–associated steatotic liver disease (MASLD), in this continuum. The Saudi Heart Association (SHA) therefore aimed to introduce the cardiovascular–kidney–liver–metabolic (CKLM) syndrome as an expanded framework and provide expert guidance on its pathophysiology, staging, screening, and management, with relevance to the Saudi population.

Methods: A multidisciplinary expert panel convened under the auspices of the SHA conducted a comprehensive, non-systematic literature review and developed consensus-based recommendations through iterative discussion …

Proactive Deep Q-Learning Approach For Anomaly Detection In Iot Idss, Hawraa A. Habeeb, Mehdi E. Manaa

Journal of Intelligent Informatics, Networking, and Cybersecurity

Breach rates and unparalleled vulnerabilities are a constant feature of the cyber landscape these days, and the increasing complexity of the proliferation of Internet of Things (IoT) nodes is to be expected. With these challenges, the conventional intrusion detection systems (IDS) are proven to be unable to deal with the extensive and varied data streams. Such systems can be fundamentally attributed to the classical nature of these systems, which are lacking in flexibility to analyze traffic in real-time and thus have no proactive capabilities of identifying patterns of unknown attacks. Considering these technical barriers, in this paper, an offensive-defensive system …

Greenovation As A Strategic Leverage For Sustainable Competitive Advantage, Amiya Kumar Mohapatra, Anil Kumar, Yiğit Kazançoğlu

Management Dynamics

Greenovation is the new currency of the global economy which focuses on ‘green and innovation’ that generates environmental benefits through reduced resource consumption, lower carbon emissions, and improved ecological performance aligned with Sustainable Development Goals (SDGs). Greenovation focuses on long-term value creation by integrating environmental externalities, resource circularity, and multi-stakeholder governance and accountability structures. Greenovation integrated with corporate strategies can provide greater strategic competitive advantages which is also termed as green competitive advantage. By systematically integrating product and process improvements through Greenovation, firms can attain competitive advantage for long-term value creation for both internal and external stakeholders. It is imperative …

Integrated Llm-Powered Framework For Real-Time Monitoring In Machining Using Smartphone And Ai Agent Orchestration, Mustafa H. Hadi, Hussam L. Alwan, Atiya Al-Zuheri, Sang-Heon Lee, Yousef Amer

Engineering and Technology Journal

Reliable tool condition monitoring is essential for maintaining machining quality, reducing production downtime, and preventing unexpected tool failures. Conventional tool condition monitoring systems can accurately detect tool wear but typically provide limited support for automated diagnosis and maintenance decision-making. To address this limitation, this paper proposes an economical AI agent-driven maintenance framework for milling operations that integrates smartphone-based vibration sensing, one-dimensional Convolutional Neural Networks (1D-CNNs), and Large Language Model (LLM)-powered AI agents. Vibration signals acquired using a smartphone-embedded accelerometer are preprocessed and analyzed using a 1D-CNN to classify tool conditions into fresh and worn states. The classification results are then …

Occurrence And Distribution Of Polychlorinated Naphthalenes In Consumer Products And Landfill Matrices: A First Assessment In South Africa, Vhodaho Nevondo, Raissa Okwuosa, Okechukwu Jonathan Okonkwo

Engineering and Technology Journal

Polychlorinated Naphthalenes (PCNs) are persistence organic pollutants (POPs) which have been used extensively and continue to be a source of environmental and human health issues in spite of the international ban on their production. This work represents the first report of PCNs in consumer goods, landfill leachate, and sediment samples in South Africa. In this study, a total of 24 consumer goods belonging to eight categories were analyzed along with landfill leachates and sediments from the Hatherly and Goudkoppies landfills, Gauteng Province, South Africa, for some selected PCN congeners by gas chromatography mass spectrometry (GC-MS) analysis. Quality assurance procedures and …

Investigation Of Plasma-Induced Surface Modification Of Pmma Using Nd:Yag Laser-Induced Breakdown Spectroscopy, Shaimaa S. Mahdi, Asmaa J. Kadhim, Zainab Salam Khaleefah

Engineering and Technology Journal

Poly(methyl methacrylate) (PMMA) plays an important role in many applications, including biomedical, industrial, and optical applications. Due to its surface properties, which are essential to its performance. The PMMA samples were exposed to a dielectric barrier discharge (DBD) air plasma with a duration time of 300 s. In this investigation, laser-induced breakdown spectroscopy (LIBS) in combination with Fourier transform infrared spectroscopy (FTIR) was used to study the surface properties of exposed to plasma samples. The laser pulses were set to (60, 80, and 100) mJ. The resulted spectra were recorded over a wide spectral range from 200 to 1100 nm. …

Bim-Safety Integration In The Nigerian Construction Industry Using The Unified Theory Of Acceptance And Use Of Technology (Utaut) Model, Ranti T. Adebiyi, Ganiyu Amuda-Yusuf, Olubola Babalola, Nurudeen A. Bello, Aminat D. Amuda, Kaosarat A. Olowookere

Engineering and Technology Journal

Health and Safety (H&S) challenges are a significant concern in the Nigerian construction industry, largely due to the lack of a reliable national accident database and the persistence of a fatalistic safety culture. Building Information Modelling (BIM) is a transformative digital framework that enables visual hazard identification and proactive risk simulation; however, its use in site safety management remains limited and inconsistent. This study investigates the behavioural, social, and structural determinants influencing the adoption of BIM-based H&S practices among construction professionals, utilising the Unified Theory of Acceptance and Use of Technology (UTAUT). A hypothetical multi-level design was used to model …

Token-Efficient Verification For Self-Improving Root-Cause-Analysis Agents, Necati Cehreli

Defensive Publications Series

Proposed herein is a system that chooses how much testing is needed for an improvement to an artificial intelligence (AI) root cause analysis (RCA) agent before the system trusts the improvement. Small, local changes can receive quick replay first, while broad or risky changes require a full rerun or multi-case batch testing. One result of the proposed approach is a safer and less costly self-improvement loop through which a system can spend additional testing effort when the change warrants such testing.

Deterministic, Model-Independent Grounding-Integrity Mechanisms For Retrieval-Augmented And Agentic Language-Model Systems, Roberto A. Wenzel

Defensive Publications Series

Revision 1.2 of a defensive publication disclosing deterministic, model-independent grounding-integrity mechanisms for retrieval-augmented and agentic LLM systems. The mechanisms make citation resolvability an invariant of every output mode routed through a cross-tool evidence registry — detect → bounce → strip with compound-citation surgery, an ordering rule, and a strip-event notice — and make degradations of grounding (a removed citation, a deleted source, an unverified item, a suspect "not found") visible to the reviewer rather than silent. Revision 1.2 adds Technique G (decompose-and-verify: per-unit grounding, byte-identical scoped regeneration, de-correlated verification, citation tombstones, honest terminal states), a precise trust model and guarantee …

Evidence-Partitioned Autonomy Authorization For Llm Agents: Single-Use Capability Tokens, A Selection-Bias Firewall, And Pre-Outcome Committed Audit Selection In A Cross-Model Execution-Authority Control Loop, Jason Edward Plumb

Defensive Publications Series

Large-language-model agents are routinely granted execution authority they have not earned: per-call permission prompts do not scale, allowlists do not adapt, and commercial “trust scores” are heuristic. This disclosure describes a deterministic, fail-closed execution-authority control loop in which model outputs are never authority. One model may only propose typed, exactly-argued actions; a second model may only request execution of an unmodified proposal; a host-owned controller authorizes each operation immediately before it executes; and a gateway redeeming single-use capability tokens is the only path to side effects. Four mechanisms are disclosed in enabling detail: (1) an autonomy-evidence store partitioned by a …

Macro-Scale Ultra-Vacuum Containment Vaults (Uvcv) And Detached Robotic Logistics Logs For The Absolute Elimination Of Interfacial Oxidative Degradation, Christopher L. Eckes

Defensive Publications Series

This specification formalizes the macroscopic architectural layout, atmospheric seal metrics, and automated robot-to-machine routing protocols required to establish an external environmental guardrail for high-throughput Elemental Transmutation Replicator (ETR) industrial nodes. Prior art (Paper 128) details the micro-scale electro-hydrodynamic lamination of edible protective polymer skins over hyper-accelerated macro-nutrient streams. However, mechanical nozzle failures or unexpected microfluidic backpressure cascades introduce an operational vulnerability: transient exposure to ambient atmospheric oxygen (O₂) and water vapor (H₂O) can cause instant material degradation and structural collapse during high-velocity extrusion passes.

This disclosure resolves this structural vulnerability by placing the entire replication assembly inside a sealed, structural …

Dynamic Harmonic Resampling And Ternary Fluid-Canvas Operating Networks For The Elimination Of Volumetric Washout In High-Throughput System Interfaces, Christopher L. Eckes

Defensive Publications Series

This specification establishes the software-hardware architecture, fluid-canvas compilers, and low-level dynamic phase-alignment algorithms required to eliminate the downstream Acoustic Wave-Saturating Washout bottleneck within the Phase 2 Macro-Texture Structure Matrix of the Elemental Transmutation Replicator (ETR) framework. Prior art (TDC #11772, Paper 126) breaks the thermal limits of Phase 1 Synthesis, yielding a continuous, hyper-accelerated volumetric stream of unorganized liquid protein and lipid emulsions. Under static acoustic conditions, this accelerated flow rate sweeps away stationary ultrasonic nodes, preventing successful macro-texture cross-linking and fiber folding.

This disclosure resolves this fluid-dynamic constraint by deploying a Distributed Ternary Fluid-Canvas Operating Network governed by Module …

System Architecture For Ai-Synchronized Phononic Suppression Matrices And Solitonic Disruption Of The Exothermic Bonding Barrier In Atomic Layer Deposition Cores, Christopher L. Eckes

Defensive Publications Series

This specification formalizes the architectural integration, hardware layouts, and predictive real-time control algorithms required to transition the Phase 1 Ultra-Vacuum Synthesis Bed of the Elemental Transmutation Replicator (ETR) framework (Prior Art: TDC #11772) from an assembly-throttled safety regime to a hyper-accelerated, continuous-flow manufacturing matrix. Prior art (CART-CE #12157) establishes that instantaneous molecular synthesis yields extreme, localized exothermic enthalpy spikes (ΔH°f) that overwhelm the passive thermal conductivity (κ) of Silicon Carbide (SiC) dampening hulls, triggering automated laser throttling and dropping system velocity to protect structural interfaces.

This disclosure resolves this structural material bottleneck by implementing an AI-Governed Active Phononic Dampening Field. …

System And Method For Monitoring Client Logging Reliability, Quentin Fiard, Dakshi Goyal, David Phillips

Defensive Publications Series

A monitoring system and method for benchmarking client logging reliability across multiple logging systems. The monitoring system includes a client-side component (prober) and a serverside component (server-side pipeline). The prober identifies scenarios, initializes and increments sequence numbers scoped to stream identifier and scenario combinations, generates probes containing sequence numbers and stream identifiers, and dispatches probes through multiple logging systems. The server-side pipeline aggregates probes over a rolling window by event creation date, joins probe records across logging systems to construct a ground truth, detects gaps in sequence numbers, and calculates reliability metrics for each logging system.

Hybrid Graph-Neural Net And Resource Description Framework-Star (Rdf-Star) Semantic Signal Ranking With Sparse-Semantics Recovery And Provenance-Aware Output, Vladimir Mikhailov, Raja Soundaramourty

Defensive Publications Series

A ranking service receives sparse request input and ranks candidates using a hybrid graph-neural and semantic-evidence architecture. The service computes graph-derived relevance using a Graph Neural Network (GNN), retrieves Resource Description Framework-star (RDF-star) statement-level semantic-relationship evidence, and computes a semantic score from the retrieved evidence. When direct semantic evidence is unavailable, bounded runtime fallback uses attenuated one-hop neighbor evidence. The service blends the graph-derived relevance and semantic score to produce ranked results with score decomposition and provenance indicators. The architecture improves semantic-context coverage and explainability for sparse enterprise graphs while preserving baseline neural-ranking behavior.

Endpoint Encryption And Ai-Agent Access Control For Preventing Autonomous Agent Access To Sensitive Files While Preserving Human User Access, Hp Inc

Defensive Publications Series

This idea introduces a method and system for preventing generative AI tools, agentic AI processes, and autonomous software agents from accessing sensitive files on an endpoint device while still allowing authorized human users to access those files through controlled decryption mechanisms. The disclosure extends endpoint file tagging to classify files as Personal/Personally Identifiable Information (PII), Enterprise Confidential, Trusted, or Untrusted, and applies access enforcement at the point of file access. Sensitive files are protected using asymmetric encryption, with private keys held within a Trusted Platform Module (TPM), secure enclave, microvisor, hypervisor, or equivalent protected control plane. Human users can access …

Ai Driven Firmware Integrated Assistant For Dynamic Printer Features Education, Assistance And Recommendation, Hp Inc

Defensive Publications Series

This disclosure presents an artificial intelligence-based system that leverages Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to contextually educate, assist, and recommend printer features to users. End-users of printing devices frequently underutilize available product features due to fragmented and inaccessible product information. Feature documentation is dispersed across datasheets, embedded help systems, and release notes, that are often verbose, overly technical, or not contextually surfaced at the point of need, resulting in low feature discoverability and suboptimal device utilization. This approach improves feature adoption, accelerates issue resolution, and enhances the overall user experience with the printing device.

Techniques For Handling Unstable Agents In Agent-Based Networks, Ashwini S Kulkarni, Sushmitha Vatsal, Priyanka Bansal, Vivek Kumar Singh, Ghulam Ghaus Arshi

Defensive Publications Series

Proposed herein are a system and techniques that facilitate stability-aware metadata synchronization in agent-based networks. The system includes a closed-loop adaptive stability orchestration layer that utilizes a time-sensitive exponential-decay mechanism and historical recovery telemetry to dynamically tune suppression and reuse thresholds, thereby reducing control-plane churn and cascading failures. Rather than relying on binary health checks, the system uses a time-weighted stability score to support granular, policy-driven agent lifecycle management.

Method And System For Adaptive Multi-Channel Employee Performance Assessment With Dynamic Data Source Weighting And Entropy-Based Filtering, Vladimir Gorobtsov

Defensive Publications Series

The present disclosure describes a method and system for comprehensive employee performance assessment using adaptive multi-channel data integration. The system collects data from at least three independent sources (psychometric tests, physical activity monitoring, operational workload metrics, communication activity, and behavioral logs). It employs Shannon entropy-based filtering to exclude noisy sources, Tukey's interquartile range method for outlier removal, and sliding-window normalization. Dynamic weights are calculated daily based on statistical dependence between each data source and actual employee productivity. An integrated performance index is computed with seasonal adjustment. The system is scalable, computationally efficient, and reduces processing load by up to 40%. …

Technique For Solar Energy Monetization In Autonomous Electric Vehicles, James Douglass Kirk, Ruchira Ghosh, Gregory Miller

Defensive Publications Series

The present disclosure relates to an energy delivery system for an autonomous electric vehicle (EVs) designed to facilitate Vehicle-to-Grid (V2G) energy transactions. The system includes a V2G communication interface that allows the autonomous EVs to supply solar-generated energy to the electrical grid. Additionally, the system features a payment credential linkage mechanism connecting employer-provided payment credentials to the vehicle during travel. It also incorporates a solar energy collection unit for capturing solar energy and a transaction processing module that communicates with a payment network to update the financial balance associated with the linked credentials, enabling business travellers to monetize the collected …

A Process For The Preparation Of Gepotidacin Mesylate And Its Intermediates, Lee Fine Chem Private Limited

Defensive Publications Series

The present disclosure relates to 4-[[(3,4-dihydro-2H-pyrano[2,3-c]pyridin-6-yl)methyl]amino]-1-acetylpiperidine, is represented by following structural formula (5) and its process for the preparation thereof.

The present disclosure further relates to use of 4-[[(3,4-dihydro-2H-pyrano[2,3-c]pyridin-6-yl)methyl]amino]-1-acetylpiperidine of Formula (5) for the preparation of Gepotidacin mesylate is represented by following structural formula (1).

Antigen Discovery In Multiple Myeloma Using Integrated Long-Read Transcriptomics And Immunopeptidomics, Aya Albittar

Dissertations and Theses (Open Access)

Multiple myeloma (MM) remains an incurable plasma cell malignancy, with relapse driven by persistent chemotherapy-resistant cells and residual disease following treatment. Although immunotherapies have transformed MM care, their success depends on identifying tumor-specific antigens that can be safely targeted. While aberrant genomic structural variation and transcriptional dysregulation are increasingly recognized as sources of novel antigens in MM, the HLA-presented antigenic landscape of MM remains incompletely characterized, particularly for non-canonical, structurally-derived peptides, and long-read transcriptome-informed immunopeptidomic data specific to MM remain scarce.

We established an integrated antigen discovery platform combining long-read RNA sequencing (Iso-Seq) with mass spectrometry-based HLA immunoprecipitation and immunopeptidomics …

Dual-Polymer Concrete With Recycled Pet And Hdpe Aggregates: Mechanical And Durability Performance Assessment, Omar Abd El Mageed Hammouda

Theses and Dissertations

This study investigates the fresh, mechanical, durability, thermal, performance as well as preliminary financial aspects of dual-polymer concrete incorporating recycled polyethylene terephthalate (PET) as a partial replacement for fine aggregate and recycled high-density polyethylene (HDPE) as a partial replacement for coarse aggregate, with silica fume as a supplementary cementitious material held constant at 10% by weight of cement. The study responds to the convergence of two pressing challenges in the Egyptian context: the scale of plastic waste mismanagement, which results in widespread informal open burning and environmental contamination, and the high operational energy demand of residential buildings in Egypt's hot …

Robust Soil Moisture Content Detection Based On Data Augmentation Under Different Testing Conditions, Yang Li, Chenghao Liu, Jing Nie, Jingbin Li

Turkish Journal of Agriculture and Forestry

Accurate and cost-effective monitoring of soil moisture content is essential for the development of precision agriculture and the optimization of water resource management. While low-frequency acoustic signals are used to detect soil moisture content, models trained with controlled laboratory acoustic data often exhibit significant performance degradation with field data due to their sensitivity to environmental noise, soil heterogeneity, and structural variations. This study proposes a novel framework to enhance model robustness and generalization by integrating a WGAN-GP network data augmentation strategy into the soil moisture content workflow. This framework is designed to generate high-quality and diverse data on different soil …