Digital Commons Network^™

Effects Of Ab Mix Hydroponic Solution And Ameliorant Mixtures On Cayenne Pepper Growth And Yield In An Inceptisols, Tien Turmuktini, Betty Natalie Fitriatin, Tualar Simarmata, Firda Widayanti, Nuryanti, Lia Amalia, Elly Roosma Ria, Linlin Parlinah

Jurnal Kultivasi

Cayenne pepper (Capsicum frustescens L.) cultivation faces several problems, including acidic pH and inadequate nutrient management. These problems can be addressed by using a mixture of various ameliorants and AB mix nutrient solutions. This study aimed to determine the effect of ameliorant mixture dosage and AB mix solution concentration on soil chemical properties, growth, and yield of cayenne pepper. The experiment used a randomized block design, consisting of two factors: nutrient solution concentration and ameliorant dosage. The factor of nutrient solution concentration consisted of four levels, i.e., 700, 1000, 1300, and 1600 ppm, while the factor of ameliorant dosage also …

Combined Effects Of Space-Relevant Thermal & Radiation Stress On Wide-Gap Mixed-Halide Perovskite Solar Cells, Veran Stanek

Theses

Mixed-halide wide-band gap perovskites are attractive for space power due to their high open-circuit voltages and compatibility with tandem device architectures, but their response to combined orbital stressors remains under-explored. Here, we study 1.86 eV band gap all-inorganic CsPbI2Br solar cells across a space-relevant thermal window of -80°C to +100°C before and after 1.0 M eV proton irradiation. n-i-p devices exhibit notable radiation tolerance retaining approximately 60% of initial power conversion efficiency (PCE) upon irradiation with a fluence of 5 × 10^13 cm^−2. Temperature-dependent hyperspectral photoluminescence imaging and spectroscopy uncover a reversible low-temperature emissive heterogeneity in the perovskite absorber, manifested …

Re: Approval Letter For The Diggings East 100% Remedial Design Package Submittal (Dated July 23, 2026), The 100% Sbcca Programmatic Technical Specifications Submittal (Technical Specifications) (Dated May 29, 2026), The Final Revised Silver Bow Creek Conservation Area (Sbcca) Construction Quality Assurance Plan (Cqap) (Dated July 29, 2026), The Final Sbcca Construction Monitoring Quality Assurance Project Plan (Qapp) (Dated July 29, 2026), And The Final Sbcca Materials Management Plan (Mmp) (Dated July 29, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Clark Tailings Consolidated Waste Management Area Site Investigation Quality Assurance Project Plan (Qapp), Woodard & Curran

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Low-Temperature Co2-Enhanced Reductive Bioleaching For Selective Nickel Recovery From Iron-Rich Silicate Tailings, With Concurrent Carbon Sequestration, Kwabena Boafo, Palas Kamlakar Borkar, Atharva Rane, Timothy Eisele

Michigan Tech Publications

Recovering nickel from iron-rich mine tailings by bioleaching is held back by the co-dissolution of iron, which gives pregnant leach solutions with high Fe/Ni mass ratios and heavy downstream purification costs. This study shows that running bioleaching at 0 °C under a CO2-enriched atmosphere, with no post-leach iron removal step, lowers the Fe/Ni mass ratio in the leachate from 13.87 at 25 °C to 2.25 at 0 °C, a 6.2-fold improvement against a feed Fe/Ni ratio of 119:1. Nickel recovery stayed near 45% at both temperatures, showing that the fen-derived psychrotolerant consortium remained fully active near freezing. The mechanism rests …

Pushed To The Edges? Electivity Patterns Of Urban Stream Homeless Encampments In Environmentally Burdened Areas, Serena Alexander, Bennett Williamson, Jeff Wootton, Costanza Rampini, Gregory Brian Pasternack, Yufang Jin, Rune Storesund, Igor Lacan

Faculty Research, Scholarly, and Creative Activity

Urban stream corridors in the San Francisco Bay Area have increasingly become locations for homeless encampments, yet little is known about the environmental conditions of these spaces. This study uses a geospatial electivity index to examine whether urban stream encampments in Santa Clara and Contra Costa counties are disproportionately located in census tracts with high pollution burdens, as measured by CalEnviroScreen 4.0. Findings show a statistically significant overrepresentation of encampments in census tracts in the top 25% of pollution and vulnerability scores, and a significant underrepresentation in lower-pollution areas. These results suggest that homeless individuals are being pushed toward environmentally …

Development Of Robust Ratio Linear Fitting Method Of Temperature And Emissivity Separation For High-Temperature Data, Mitchell Manzardo, Michael L. Dexter, Shannon R. Young, John Bowlan, Anthony L. Franz

Faculty Publications

Accurate temperature and emissivity separation from thermal infrared radiance is essential for characterizing materials under high-temperature laboratory conditions. Existing temperature and emissivity separation methods have largely been developed for multispectral remote sensing applications, where long atmospheric path lengths require extensive atmospheric compensation. In contrast, the current work considers hyperspectral laboratory measurements acquired over a short optical path, where atmospheric effects are comparatively small but increased measurement uncertainty remains within portions of the measured spectrum. The ABB MR304 FTIR spectrometer used in this study exhibits reduced optical transmission below approximately 2.5 μm, producing increased measurement uncertainty within the spectral region containing …

Palmnet: Confidence-Calibrated Edge-Cloud Ai For Field Diagnosis Of Date Palm Diseases, Muntadher Kareem, Raed Majeed

Karbala International Journal of Modern Science

Date palm (Phoenix dactylifera L.) is a cornerstone crop for Iraq and the wider MENA region, yet reliable in-field diagnosis of leaf disorders remains slow, labour-intensive, and constrained by a limited pool of agronomists. This paper presents PalmNet, a full-stack diagnostic system that classifies nine leaf conditions through a calibrated edge-cloud framework. The system is developed and evaluated on a public dataset of 3,089 field images spanning the nine classes, using a 70/15/15 stratified split. A ShuffleNetV2 student network, distilled from a ConvNeXt-Tiny teacher, is deployed on two complementary edge endpoints: a Raspberry Pi Zero 2 W field station …

The Application Of Knowledge Graphs In Education: A Bibliometric Analysis, Rui Yin, Jundi Teng, Ningwei Sun, Huimin Li, Ting Cheng

Journal of Educational Research and Practice

With the rapid advancement of artificial intelligence (AI) technologies such as ChatGPT, the use of knowledge graphs (KGs) has increased substantially in educational applications. As a technology for knowledge representation and management in AI, KGs play a pivotal role in personalized learning, educational resource integration and management, and learning performance prediction. Their scalability and semantic interpretability were particularly evident in online education during the coronavirus disease 2019 (COVID-19) pandemic. However, systematic reviews of their application in education remain limited.

To address this gap, our study analyzed data from the Web of Science (WOS) Core Collection (high-quality Social Sciences Citation Index …

Just Make It Through Tonight., Zachariah Delgado

Night Flight: Online Literary Journal

No abstract provided.

A Weekend At Blackwood Manor, Daniel B. Johnson

Night Flight: Online Literary Journal

A Weekend at Blackwood Manor is a suspenseful mystery centered on three strangers who receive mysterious invitations to spend a weekend at a secluded manor with the promise of a one-million-dollar prize. After arriving, Sean, James, and Kyle quickly discover that their invitations were not random. Their mysterious host reveals that two of them are guilty of past wrongdoing and must atone for their actions before the prize can be awarded. As clues hidden throughout the manor begin connecting the men to Adam Stone and a tragic accident from years earlier, long-buried secrets and feelings of guilt begin to surface. …

Correlation And Redundancy Analysis Of Statistical Features For Permanent Magnet Synchronous Motor Fault Detection, Ibrahim Muhammad, Benjamin Olabisi Akinloye

Mansoura Engineering Journal

Feature selection plays a critical role in designing efficient and interpretable condition monitoring frameworks for electrical drives. In this paper, a correlation analysis of statistical and spectral features is performed for Permanent Magnet Synchronous Motor (PMSM) fault detection in naval windlass systems. Using both simulated data from a MATLAB/Simulink model and real shipboard current signals acquired from five Nigerian Navy vessels over one-month monitoring periods, higher-order statistical moments (Mean, Variance, Standard Deviation, Skewness, Kurtosis) and the Fault Severity Index (FSI) were computed alongside Total Harmonic Distortion (THD). Pearson correlation coefficients were employed to quantify feature relationships under healthy and faulty …

Numerical Parametric Assessment Of Lap-Spliced Reinforced Concrete Beams With Steel, Gfrp, And Hybrid Reinforcement, Salah Mohsen, Mohamed H. Makhlouf, Marwa I. Badawi, Gamal Ismail

Mansoura Engineering Journal

This study presents a numerical parametric investigation into the flexural performance of reinforced concrete beams incorporating different reinforcement types and lap splice configurations, based on finite element modeling using ABAQUS and benchmarked against ACI 440 design provisions. Sixteen beam models were developed and analyzed under four-point bending to evaluate the influence of reinforcement type (steel, GFRP, and hybrid), splice length, and number of spliced bars on the global structural response. The results indicate that splice detailing plays a governing role in controlling failure mode and ductility. Beams without lap splices exhibited enhanced ductile behavior, whereas shorter splice lengths and higher …

Volume 1 Issue 7 Full Issue - From Coastal Defense To The Far-Seas: China’S Naval Strategic Transformation, China Maritime Studies Institute

CMSI Quarterly Review

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 …

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 …

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.

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. …

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.