Digital Commons Network^™

Cryptobiotic Neuromorphic Architecture (Cna): Volumetric Glass-Phase Memory Hibernation For Zero-Power Fault-Tolerant Ai, Johny Manuel-Devadoss, Jayden Jack Johnson

Defensive Publications Series

State-of-the-art Large Language Models (LLMs) and neuromorphic hardware suffer from massive static power consumption due to continuous memory-refresh cycles and leakage currents, we introduce the Cryptobiotic Neuromorphic Architecture (CNA). CNA bypasses traditional von Neumann and non-volatile memory (NVM) paradigms by utilizing a novel Vitrifactor-driven Chalcogenide Matrix (VCM).

When structural components of a neural network (sub-graphs, weights, or attention heads) become inactive, the system triggers a localized, simulated chemical transition called Vitrification. This transition locks active weights into a zero-power, non-volatile "glassy" state (Dormant Memory), structurally immune to cosmic radiation, thermal fluctuations, and total power deprivation. Upon activation signals, the state …

Caldwell–Phoenix Atmospheric Water Harvester (Cp‑Awh V1.2) Unified Open‑Hardware Atmospheric Water Capture, Condensation, Pfas/Microplastic Purification, And Off‑Grid Operation System, Michael Victor Caldwell Mr.

Defensive Publications Series

ABSTRACT:

The CP‑AWH v1.2 is a multi‑modal atmospheric water harvesting system designed for hyper‑arid, temperate, and humid climates, integrating:

• Vortex‑MOF adsorption

• Thermoacoustic + radiative condensation

• Cavitation‑plasma PFAS/microplastic purification

• APR‑AI adaptive control

• Arachne smart‑skin sensing

• Solar‑thermal + solid‑state energy harvesting

This disclosure separates established science, proposed engineering integrations, and experimental validation requirements, providing a complete builder‑ready package for engineers to fabricate and test the system immediately. “This is an open‑hardware atmospheric water harvester designed for survival‑level water production in harsh climates. Full build and test instructions included.”

Gci Sentinel‑Av‑1 Alpha Staged Acoustic‑Vortex Concentration And Cavitation‑Plasma Side‑Stream Reactor For Pfas And Microplastic Reduction In Dirty Water, Michael Victor Caldwell Mr.

Defensive Publications Series

Abstract

GCI Sentinel‑AV‑1 Alpha is a staged, modular, open‑hardware water‑treatment architecture intended to improve the real‑world feasibility of PFAS reduction and microplastic concentration in contaminated municipal, industrial, and coastal water streams. The system does not claim that all PFAS can be destroyed in full-flow municipal water in a single pass. Instead, it uses a more defensible and buildable process train: pretreatment and flow conditioning, multi-stage acoustic‑vortex concentration, and cavitation/plasma polishing of a small concentrated side-stream. The design is intentionally modular so that engineers can test each stage independently, measure mass balance and energy use, and scale only after the physics …

Technical Disclosure: Gci Oncology Mrna-Acoustic Vortex-Synergy Protocol (Gci-Oas V1.0), Michael Victor Caldwell Mr.

Defensive Publications Series

Abstract

This disclosure outlines a protocol to enhance the clinical efficacy of mRNA-based cancer therapeutics by integrating targeted acoustic-vortex delivery systems with systemic physiological stabilization. Traditional mRNA therapeutics face barriers in tumor microenvironment (TME) penetration and immune-cell recruitment. By utilizing GCI-developed acoustic-vortex resonance to modify tissue permeability and local interstitial pressure, this protocol provides a non-invasive, hardware-based method to concentrate therapeutic payloads at tumor sites. This is a purely conceptual, builder-ready framework intended to be integrated into existing clinical research pipelines.

Caldwell Open‑Hardware Oncology Research Platform (C‑Ohrp V1.0) A Modular, Non‑Clinical Testbed For Mrna Cancer Vaccine And Immunotherapy Delivery, Sensing, And Thermal Management, Michael Victor Caldwell Mr.

Defensive Publications Series

Abstract

Recent evidence, including a 2026 review in The Lancet, confirms that mRNA vaccines are robustly effective against infectious diseases and show strong promise for cancer immunotherapy, particularly in melanoma and in combination with immune checkpoint inhibitors. However, critical barriers remain: delivery to the right tissue, control of the treatment environment, and reproducible measurement of immune response and toxicity.

The Caldwell Open‑Hardware Oncology Research Platform (C‑OHRP v1.0) is a modular, non‑clinical research platform that integrates the most relevant elements of the Caldwell open‑hardware portfolio to improve the viability of mRNA cancer vaccine and immunotherapy programs. It does not claim to …

The Multi-Static Integrated Sensing For Predictive Mitigation Of Network Beam Blockages, Mohit Chandra

Defensive Publications Series

Systems and methods can provide a cooperative sensing framework where network access nodes can operate in a multi-static configuration using integrated sensing and communication capabilities. In this framework, one node may transmit a signal while multiple, geographically separated nodes capture reflections from an object. This data can be processed at an edge computing layer to model the object's kinematic profile and predict its trajectory. This prediction may be used to trigger a pre-emptive remediation action, such as a make-before-break handover to an alternate path, which could mitigate connectivity loss before the active communication link is degraded and contribute to improved …

Reducing Hip Joints By Limiting O2 Ppm In Cooling Zones Of Smt Reflow Oven By Adding N2 Flow And Control, N/A

Defensive Publications Series

The present disclosure describes reducing solder joint defects, specifically head-in-pillow (HIP) joints, during the assembly of printed circuit boards (PCBs). As electronic components, such as ball grid arrays, increase in size, thermal warpage can cause temporary separations between the component and the circuit board during the reflow process. If the solder surfaces oxidize while separated, they may fail to merge properly when they eventually come back into contact during the cooling phase. By introducing an active nitrogen flow into the cooling zone of a reflow oven, the oxygen concentration can be maintained at very low levels. The controlled environment limits …

Evaluation Of Music Education Implementation Under The Merdeka Curriculum At The Junior Secondary School Level In Tanggamus Regency, Andrean Pramudyo, Kun Setyaning Astuti

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

Music education in Indonesian junior high schools often faces persistent structural challenges, particularly in regions where the implementation of Kurikulum Merdeka remains uneven and under-evaluated. This study evaluates the implementation of Music Education under Kurikulum Merdeka at state junior high schools in Tanggamus Regency, Lampung Province. Stufflebeam's (1966) CIPP evaluation model, encompassing Context, Input, Process, and Product components, was employed within a quantitative descriptive-evaluative design. Data were collected simultaneously using three instruments: a primary questionnaire and two supplementary instruments comprising structured observation sheets and documentation analysis sheets. Respondents included 6 school principals and curriculum vice-principals, 10 Music Education teachers, and …

A Significant Moment In The Colorado River Water Supply Crisis, Jack Schmidt, Anne Castle, John Fleck, Eric Kuhn, Kathryn Sorensen, Katherine Tara

The Traveling Wilburys of the Colorado River

On Sunday, July 12, the surface of Lake Powell was 3524.32 feet above sea level, and the surface of Lake Mead was at 1042.77 ft.7 These elevations equated to 5,505,869 and 7,169,640 acre feet (af), respectively, of live storage in the two reservoirs. The combined total live storage of these reservoirs was 12,675,509 af. The last time the combined total live storage in Lake Powell and Lake Mead was this small was May 23, 1957, during construction of Glen Canyon Dam when the entire amount of 12,668,000 af was stored in Lake Mead.

A Chorus Of Voices: Student And Teacher Shared Dialogical Experiences And Insights, Jennifer Anne Reynolds

Theses and Dissertations

Dialogue is inherently tied to learning, but as a secondary English Language Arts (ELA) classroom teacher it can be difficult to facilitate classroom dialogue that provides authentic learning opportunities for every student. I wanted to learn more about the student experience, so I implemented an action research study to increase my understanding of how students learn through dialogue. My research question was: How does collaborative languaging, to facilitate student-teacher interaction, lead to improved classroom mediation, authentic learning, dialogue, and development? I conducted transformative action research in my classroom, focusing on students enrolled in my general English 10 classes. In an …

Histopathological And Immunological Effects Of Tamanu Oil Nanoemulsion On Imiquimod Induced Psoriasis In Albino Rat Skin, Israa Mahmood Mohammed, Treefa Farouq Ismail

Baghdad Science Journal

Psoriasis is an autoimmune disease caused by T-cell activation. This condition is characterized by skin proliferation and inflammation. This study aimed to enhance tamanu oil bioavailability by green synthesis method, in order to evaluate the potential anti-psoriatic benefits of tamanu oil nanoemulsion in rat skin, based on observational, histopathological, and immunological outcomes. The formulation was prepared by phase inversion temperature technique. The physical and chemical characteristics include: droplet morphology, size, zeta potential, pH, and stability. The formulation exhibited a spherical and small globule size of less than 100 nm, good zeta potential (–23.9 mV), suitable pH (5.3) and physically stable. …

Bioactivity Of Chitosan Coated Nanoparticles Biosynthesized Using Yeast Against Hypervirulent Klebsiella Pneumoniae (Hvkp), Sura Alaa Suod, Huda Suhail Abid Al-Hayanni

Baghdad Science Journal

Multidrug-resistant (MDR) bacteria are becoming one of the most pressing problems worldwide and are becoming difficult to treat; therefore, nanotechnology is a promising alternative technology. The current study aimed to biosynthesize chitosan Saccharomyces cerevisiae nanoparticles (ScNPs) and evaluate their antibacterial activity against hypervirulent Klebsiella pneumoniae (HvKp). Five K. pneumoniae isolates from different clinical sources were screened for extended-spectrum beta-lactamase (ESBL) production and virulence tests. ScNPs were synthesized and characterized. The antibacterial activity of ScE and ScNPs was determined. The result showed that five bacterial isolates were confirmed as K. pneumoniae and displayed highly virulent and resistant capabilities, hence classifying them …

Foliar Application Of Methyl Jasmonate And Titanium Nanoparticles Mitigates The Negative Effects Of Salinity On Lettuce Plants, Tahani J. Hijazin

Baghdad Science Journal

Salinity stress is one of the major abiotic factors that significantly impact plant growth. In this regard, this work investigated a way to alleviate the adverse impacts by simultaneously spraying methyl jasmonate and titanium nanoparticles on lettuce (Lactuca sativa L.) plants, which are grown under induced salinity conditions. Two concentrations of salt (100 and 150 mM NaCl) were applied to the plants. After that, simultaneous spraying of methyl jasmonate (0.5 and 1 mM) and titanium nanoparticles (100 and 200 mg/L) was performed on lettuce leaves. Following the application of the previous treatments, the plants were collected, and various …

Efficient Edge Implementation Of Midasnet For Real-Time Depth Estimation In Indoor Robotics, Muhammed Yasi̇n Adiyaman, İsmai̇l Fai̇k Başkaya

Turkish Journal of Electrical Engineering and Computer Sciences

Real-time depth estimation is crucial in many vision-related tasks, including autonomous driving, 3D reconstruction, robotics, and simultaneous localization and mapping. In recent years, many methods have been proposed to solve depth maps from images by utilizing different modality setups like monocular vision, binocular vision, or sensor fusion. However, for real-time deployment on edge devices, complex methods are not suitable due to latency constraints and limited computation capacity. For edge implementation, models should be simple, minimal in size, and hardware-friendly. Considering these factors, we implemented MiDaSNet, which works on the simplest setup of monocular vision and utilizes hardware-friendly convolutional neural network-based …

Evolutionary Neural Architecture Search: A Survey, Ferda Nur Özçeli̇k, Mehmet Önder Efe

Turkish Journal of Electrical Engineering and Computer Sciences

Deep Neural Networks (DNNs) have achieved remarkable success across diverse machine learning applications, yet designing effective architectures remains a laborious, expert-driven process. Neural Architecture Search (NAS) was introduced to automate this process, with Evolutionary NAS (ENAS) emerging as one of the most effective and widely adopted NAS paradigms. This survey provides a comprehensive and systematic review of 164 ENAS studies published between 2020 and 2024, categorized according to the specific evolutionary algorithm employed as the search strategy. Unlike prior surveys—which either treat evolutionary methods at a high level or focus on general NAS pipelines—this study is, to the best of …

A Holistic Approach For Workforce Scheduling And Routing, Kerem Can Manalp, Ansel Kaplan Erol, Kutluhan Erol, Cem Evrendi̇lek

Turkish Journal of Electrical Engineering and Computer Sciences

The workforce scheduling and routing problem (WSRP) involves assigning tasks across multiple locations while accounting for varying travel times, service durations, time windows, and skill requirements in a wide range of industries, from healthcare to telecommunications. This paper presents a mixed-integer programming model for the WSRP that balances the trade-off between cost and customer satisfaction using a score-generation function and subsequently evaluates the trade-off between solution quality and computation time for several algorithms on well-known datasets. We demonstrate that our model effectively balances cost, service-level agreement satisfaction, and task priorities while providing high-quality solutions in a timely manner. Observing that …

Cnkg: Harnessing Large Language Models For Cognitive Neuroscience Knowledge Graph Construction, Ali Sarabadani, Kheirollah Rahsepar Fard, Hamid Dalvand

Turkish Journal of Electrical Engineering and Computer Sciences

Textual resources are among the most valuable sources of information in cognitive neuroscience (CN) for understanding and investigating brain activity and cognitive processes. Extracting and constructing knowledge graphs (KGs) from these texts can facilitate medical research by providing deeper insights into neurological diseases and brain function. In recent years, the use of large language models (LLMs) in natural language processing (NLP) has become increasingly widespread, significantly enhancing the extraction of meaningful information from large volumes of text. This study proposes a novel approach for constructing and evaluating a specialized knowledge graph, termed the cognitive neuroscience knowledge graph (CNKG), from scientific …

Dual-Stream Bilstm Framework With Histogram-Based Shape Features For Household Load Forecasting, Chang Xu, Wong Jee Keen Raymond, Hazlee Azil Illias, Hazlie Mokhlis

Turkish Journal of Electrical Engineering and Computer Sciences

This study proposes a dual-stream BiLSTM framework for household load forecasting that integrates time-series dynamics with histogram-based daily shape features. Unlike existing models relying on weather or external data, the proposed method extracts intrinsic load-shape information directly from normalized daily curves. A multihead attention module fuses temporal and shape representations, enabling adaptive weighting of informative dimensions. Experiments on three real-world datasets show consistent improvements over the baseline BiLSTM, with up to 30.12%, 24.27%, and 19.03% reductions in MAE, RMSE, and SMAPE, respectively. The results highlight the framework’s robustness and efficiency for fine-grained load forecasting without external inputs.

Robust Variable-Gain Backstepping Control For Nonlinear Systems With Real-Time Application To Induction Motor, Fadi Alyoussef, İbrahi̇m Kaya, Ahmad Akrad, Rabia Sehab, Cristina Morel

Turkish Journal of Electrical Engineering and Computer Sciences

This study proposes a novel variable-gain mechanism with a minimal number of tuning parameters to enhance the performance of conventional backstepping controllers for nonlinear systems while avoiding singularity and peaking phenomena. The proposed approach is simple, computationally efficient, and well suited for real-time implementation without imposing a significant computational burden. Its effectiveness is validated through real-time experiments conducted using a dSPACE DS1104 controller board and a 7.5-kW induction motor (IM). Simulation results demonstrate that the proposed controller outperforms the conventional backstepping controller. Robustness analyses under variations in stator resistance, load inertia, and viscous friction coefficient reveal substantial reductions in the …

Enhancement Of Nested Hexagonal Fractal Antenna Performance For Multiband Wireless Applications, Abdelbasset Azzouz, Rachid Bouhmidi, Mohammed Chetioui, Redouane Berber, Ahmed Jamal Abdullah Al-Gburi

Turkish Journal of Electrical Engineering and Computer Sciences

This work focuses on developing a compact multiband antenna to meet the growing demand for versatile and efficient radiating structures in modern wireless communication systems. A hexagonal fractal antenna is proposed and analyzed for applications such as mobile communications, WLAN, industrial, scientific and medical (ISM) bands, Wi-Fi, satellite links, radar systems, and military communications. By iteratively modifying the antenna geometry with larger hexagonal elements, the design enhances multiband behavior and improves key performance parameters including gain, S11, voltage standing wave ratio (VSWR), and radiation characteristics. The antenna is modeled using high-frequency structure simulator (HFSS)® and fabricated on a low-cost 0.8 …

Parameter Optimization Of Dual-Qsg Based Pll For Real-Time Control Of Grid-Connected Ev Chargers, Gaurav Yadav, Sudhanshu Mittal, Vineet Kumar, Sombir Kundu, Praveen Bansal

Turkish Journal of Electrical Engineering and Computer Sciences

Dual-Quadrature Signal Generator (D-QSG) based Phase lock loop (PLL) has been recently proposed to handle the nonideal grid voltage conditions. However, selecting the parameter for D-QSG based controller has been a great challenge, especially for higher-order systems. Inappropriate parameter selection tends to increase settling time both in terms of amplitude as well as harmonics attenuation. Hence, in the proposed work, the main focus is on parameter selection to achieve a faster response. Here, a fourth-order Quasi-Synchronous Generator has been realized by cascading the two nonidentical second order generalized integrators (NISOGIs). Furthermore, the parameters of both the NISOGIs are selected in …

Erratum To “Sgsc-Kko-Lstm: A Deeplearning Classifier Model For Smart Grid” [Turkish Journal Of Electrical Engineering & Computer Sciences 34 (2) 2026 185-213], Samaniba Imchen, Dushmanta Kumar Das

Turkish Journal of Electrical Engineering and Computer Sciences

The first and second authors were incorrectly ordered in the article PDF due to a typesetting error. To rectify this oversight and ensure the accuracy of the published work, the author order have been corrected as follows: 1. Samaniba Imchen – First Author 2. Dushmanta Kumar Das – Second Author

A link to the original article can be found at: https://doi.org/10.55730/1300-0632.4170

Mcguire Memorial V. Teamsters Local 261, International Brotherhood Of

2026 Decisions

USDC for the Western District of Pennsylvania

Bridging Pediatric To Adult Care In Cystinosis: A Scoping Review Of Healthcare Transition Of Care Protocols And A Roadmap For Future Practice., Sanat Subhash, Nicholas Pantelakis, Kyle Backston, Ruhaan Bajpai, Amir Safadi, Brandon Petrovich, Bradley A. Warady, Maria Diaz-Gonzalez De Ferris, Rupesh Raina

Manuscripts, Articles, Book Chapters and Other Papers

Cystinosis is a rare lysosomal storage disorder that affects approximately 1 in 100,000 to 200,000 live births worldwide. Long-term graft success in cystinosis depends on cysteamine adherence and structured multidisciplinary transition, supported by protocols developed by both pediatric nephrologists and hospital organizations. This review explores institutional and regional care models, structured programs such as the RISE protocol and Got Transition's Six Core Elements, and major barriers including adult nephrology expertise, psychosocial stressors, and insurance coverage gaps. Additionally, we explore the impact of digital health tools for their role in supporting cysteamine adherence and maintaining continuity of care. Emerging technologies such …

Influence Of Supermassive Black Holes On The Star Formation Activities Of Their Host Active Galaxies, Ananthamoorthy Bannanje

University Departments

Active galactic nuclei (AGN) release substantial energy into their surrounding environn1ent, influencing the physical properties of the host galaxy and regulating the accretion of matter onto the central 'supermassive black hole (SMBI-D.' This process is known as ?GN feedback.' While AGN feedback is consideied an essential component in simulations to reproduce several observed properties of galaxies and clusters" direct observational evidence for its immediate and long-term impact on 'star formation' (SF) in both strong- and weak-jetted systems remains sparse and often contrasting. The primary limitation arises from the lack of high-resolution observations required for spatially resolved investigations of SF down …

Enhancing Resonance Wave–Matter Interaction In Finite-Size Dielectric Metasurfaces, Varsha Vijay Kumar, Elena Semouchkina

Michigan Tech Publications

We investigate the dramatic effects produced by the presence of physical boundaries of finite-size metasurfaces (MSs), composed of identical cylindrical dielectric resonators without broken symmetry, on the complexity of their responses, observed at normal plane wave incidence, when constituent particles can support only dipolar Mie resonances. We demonstrate the possibility to excite extra high-quality resonance modes in these finite structures, which are quite distinct from the modes in infinite structures. We explore the formation of different types of high-quality modes in MS fragments of different configurations and sizes, which makes it possible to provide guidance for configuring their optimal designs. …

Influence Of A New Nanoensemble Of Graphene Oxide And Indole-3-Acetic Acid On The Morphophysiological, Biochemical, And Ultrastructural Characteristics Of Upland Cotton (Gossypium Hirsutum L.), Nurlan Amrahov, Ulviyya Hasanova, Aliyeva Gunel, Aghazada Goncha, Fuad Rzayev, Eldar Gasimov, Aliyeva Solmaz, Lala Gahramanli, Elvin Ibrahimli, Ruhangiz Mammadova, Zarema Gakhramanova, Cem Bayram, Goncha Eyvazova, Si̇bel Hasanova, Ziyaddin Mammadov

Turkish Journal of Botany

​The exogenous application of phytohormones plays a crucial role in the activation of adaptive mechanisms in plants under both normal and stress conditions. Therefore, the present study investigates the synthesis, characterization, and application of nanoensembles based on indole-3-acetic acid (IAA) and graphene oxide (GO) nanolayers. The surface of GO synthesized by the modified Hummer method was noncovalently functionalized with IAA molecules. The structure and morphological properties of the prepared materials were analyzed by Fourier transform infrared spectroscopy, X-ray diffraction, UV-Vis spectroscopy, and transmission electron microscopy. The IAA and IAA+GO nanoensemble enhanced the morphological parameters, lateral root formation, catalase and peroxidase …

Systematic Implications Of Seed Morphology In Oxytropis (Galegeae: Fabaceae) From Pakistan, Amjad Khan, Amir Sultan, Raees Khan, Rozina Rozina, Shahab Ali, Ali Bagheri, Rifat Ullah Khan, Abdul Samad Mumtaz, Tariq Ullah, Ghalia Saleem Aljeddani, Hasil Khan

Turkish Journal of Botany

Oxytropis is a taxonomically challenging genus within the tribe Galegeae of the family Fabaceae. Despite its systematic importance, the seed morphology of Oxytropis has been poorly investigated. In the present study, we examined the seed morphology of 18 Oxytropis species representing 10 sections from the Pakistan, with the aim of evaluating the diagnostic value of seed traits using both light and scanning electron microscopy. The current investigation revealed two distinct seed shapes, namely cordiform and prolonged reniform, across the studied taxa. Seed length ranged from 1.75 mm in O. crassiuscula to 2.3 mm in O. duthieana, while seed width varied …

A Revenue-Driven Approach For Enhanced Task Utilization In Vehicular Cloud Computing, Ashish Singh Saluja, Satyabrata Das, Sanjib Kumar Nayak, Sohan Kumar Pande

Turkish Journal of Electrical Engineering and Computer Sciences

Vehicular networks support intelligent transportation through vehicle-to-roadside Units (V2R) and vehicle-to-vehicle (V2V) communication but face challenges from dynamic topologies, limited RSU coverage, and bandwidth scarcity, which impact service delivery and revenue. RDA-ITU addresses these challenges by integrating V2R and V2V paradigms to maximize RSU revenue, enhance service availability, and improve system efficiency. It dynamically allocates services based on real-time network conditions and vehicle mobility, leveraging V2V relays to optimize both RSU-direct and cooperative communication. Through extensive simulations, RDA-ITU significantly outperforms four baselines: RBSM, VVMM-U, VVMM-LW, and VVMM-MA. It achieves 81.1% higher total revenue, 154.8% more completed requests, and 103.6% higher …

Class-Aligned Frequency Augmentation Using Variational Mode Decomposition Forfew-Shot Image Classification, Leila Boussaad

Turkish Journal of Electrical Engineering and Computer Sciences

Few-shot image classification benefits from data augmentation, yet most existing methods operate in pixel space with limited control over spectral semantics. We introduce a lightweight, frequency-guided augmentation strategy based on Variational Mode Decomposition (VMD). Our method constructs an offline, per-class ModeBank by decomposing downsampled luminance patches and retaining midband modes that encode class-specific texture patterns. During episodic training, VMD is never executed online: instead, for each support image, a same-class midband mode is selected and blended using PSNR-targeted scaling with a luminance energy cap, ensuring perceptual consistency. The augmentation is fast, reproducible, class-consistent, and integrates seamlessly into standard metric-based pipelines …