Digital Commons Network^™

Modality-Blind, Local-First Handwriting Evidence Ingestion With Server-Side Image Rejection And Absence-Never-Denies Gate Equity, Gustavo Matthew Assuncao

Defensive Publications Series

Adaptive-learning platforms increasingly want to admit analog work — a photographed page of handwritten work — as assessment evidence alongside typed and spoken answers. The obvious implementation is corrosive: it uploads a child's handwriting image to a server, applies a single blanket consent posture across every capture surface, and — most insidiously — lets the presence of a shiny new evidence channel become an implicit penalty for the learner who has no camera, no printer, or no wish to photograph their work. This disclosure describes a mechanism that structurally refuses all three failure modes. First, the client performs deterministic on-device …

Closed-Loop Cross-Call Caller Memory For Voice Ai Agents, Gustavo Matthew Assuncao

Defensive Publications Series

This defensive publication discloses a closed-loop memory architecture for real-time voice AI agents in which the machine-readable output of a post-call extraction step is fed back to reconfigure the next generative session. On call teardown, a single generative pass jointly extracts the spoken caller identity and composes a personalized follow-up email, halving per-call inference cost relative to running extraction and composition as two passes. A per-persona configuration row gates a five-way action fan-out — follow-up email, admin briefing, CRM contact, CRM lead/ticket, and caller memory — over that single result. CRM lead creation exploits a unique-constraint violation as a control …

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Spoken-Delegation Phone-Errand Protocol, Gustavo Matthew Assuncao

Defensive Publications Series

This publication discloses, enables, and dates a protocol by which a human, while already speaking with an AI voice agent over a live telephone call, verbally delegates a second, downstream phone errand — and the platform autonomously performs it end to end and reports back. The mechanism has four coupled parts. First, in-call task capture: a function/tool call the model issues mid-conversation (schedulecall) converts a spoken delegation into a typed task row in the agent's own workspace, and the confirmation is spoken back within the same turn. Second, LLM workflow synthesis: a cognitive loop later dequeues the task and an …

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Agent-Based Workflow To Perform Technical Health Audit Of Software Applications, Patrick Lierse

Defensive Publications Series

Online application storefronts enable users to download software applications to their devices. Poor technical quality of applications, such as the app freezing, crashing, or draining device battery can result in a bad user experience that negatively affects the application developer and the storefront provider. However, data regarding application performance may be unavailable to the storefront provider to make assessments of technical performance, thus making it difficult to adjust the way the application is featured in the storefront. This disclosure describes techniques for automatic evaluation and reporting of technical health of a software application without access to developer analytics (or other …

Personalizing Suggested Actions Embedded Within Device Notifications, Rabia Habus, Tomer Allalouf, Nadav Jonas, Yaniv Berkowitz, Sari Omari, Aviram Segal, Brad Eckman

Defensive Publications Series

Notifications on devices such as smartphones, tablets, smartwatches, laptops, etc. provide users a quick view of updates from various applications. Some notification interfaces also include quick action buttons for the user to take a corresponding action in the application that delivers the notification, e.g., mute a chat conversation, accept a calendar invite, etc. However, the suggested actions are limited to a preconfigured set and do not account for user context. This disclosure describes techniques to provide an enhanced notification UI with a wide range of suggested actions that are delivered to the user taking into account the user’s context. A …

System And Method For Decentralized Coordinated Audience Display With Gesture-Based Participation, Eric Zavesky

Defensive Publications Series

A system and method for coordinated audience visual display across a plurality of mobile devices at a venue is disclosed. Each mobile device executes an application incorporating a gesture detection module for classifying physical user interactions, a camera-based scene analysis module for contextual awareness and visual fingerprint calibration, a local processing module for privacy-preserving data routing, a multi-resolution rendering module producing macro, meso, and micro display layers, a proximity detection module using sub-visual-frequency beacons and multi-sensor fusion, and a hybrid control coordinator implementing a propose-then-finesse model balancing central orchestration with edge refinement. A venue orchestration server employs hierarchical pub/sub architecture …

Dlp-Gated Ephemeral Credential Minting For Webrtc Realtime Voice Sessions With Tracked-Mode Fallback, Gustavo Matthew Assuncao

Defensive Publications Series

Realtime, low-latency voice assistants are increasingly built on WebRTC: the browser negotiates a peer connection directly with the model provider's realtime endpoint and streams audio over SRTP/DTLS, bypassing the application server entirely for the media path. This delivers sub-second latency but destroys the enforcement point that data-loss-prevention (DLP) and cloud-access-security-broker (CASB) systems rely on. A prompt-DLP proxy inspects HTTP request and response bodies; it can neither decrypt nor even observe a WebRTC audio stream that never traverses it. The result is an enforcement blind spot precisely where the most sensitive channel — a natural-language voice conversation with a persona that …

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Pre-Answer Entitlement Gate For Ai-Answered Phone Lines With Subscription-Shape-Differentiated Fail Policy And Metering-Lag Reinforcement, Gustavo Matthew Assuncao

Defensive Publications Series

This publication discloses, in enabling detail, a pre-answer entitlement gate for telephone lines that are answered by an autonomous AI agent (an AI "receptionist" or voice bot) and billed on a metered subscription. The distinguishing constraint is architectural: the platform runs on top of a Communications-Platform-as-a-Service (CPaaS) provider that emits its usage/charging signal only when the call completes. There is no mid-call credit-control channel available at the CPaaS layer — the platform cannot ask the carrier to reserve, decrement, or terminate a call against a balance while the call is live, the way a telecom Online Charging System (OCS) can. …

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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 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 …

The Effects Of Social Impact Mentoring On Women Seeking Employment, Adriano Santos Carneiro

Theses and Dissertations

Women seeking employment often face barriers such as limited professional networks, reduced access to career guidance, and lack of consistent support during the job-search process. This study examined the effects of a social impact mentoring program that connected women seeking employment with women professionals who served as mentors. Participants included 11 mentees who were seeking employment opportunities and 11 mentors who were employed or recently employed in professional roles. Using a mixed-methods pre-post design, the study collected quantitative survey data and open-ended responses before and after four virtual mentoring sessions. Mentee measures focused on confidence in securing employment and readiness …

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 …

An Anthropological Lens Into Human Milk Mirnas: Roles In Evolution And Epigenetic Programming Of Infant Health, Samantha Wu, Erika Yu, Allison Oh, Chantal Rabay, Amy L. Non

Human Biology Open Access Pre-Prints

MicroRNAs (miRNAs) represent an understudied bioactive component of human milk with an important epigenetic role in regulating infant gene expression. Most anthropological studies of human milk have focused on the evolutionary and biocultural significance of milk macronutrient content for infant development. This review will focus specifically on the value of studying milk miRNAs, a critical bioactive component of milk that may transmit cues to offspring about maternal environments. These cues could epigenetically program infant development and shape health trajectories throughout the life course. MiRNAs are short, single stranded, ribonucleic acids that serve as post-transcriptional regulators of gene expression which can …

Unveiling The Diversity Within Salvia Caespitosa Sensu Lato (Lamiaceae): Three New “Hidden” Endemic Species From Türkiye​, Ferhat Celep, Musa Doğan, Gali̇p Akaydin, Ahmet Kahraman, Ersi̇n Karabacak, Ömer Çeçen, Meti̇n Armağan, Chun-Lei Xiang, Bryan T. Drew

Turkish Journal of Botany

Documenting species, particularly those that are threatened or endangered, is fundamental to biodiversity conservation. However, many taxa remain scientifically unrecognized, being either undiscovered or unpublished. While some plants can be easily recognized as new species, other identifications are obscured by morphological, taxonomic, and nomenclatural complexity. Detecting cryptic or “hidden” species is therefore essential to understanding biodiversity and plant evolution. Our revisionary studies on Salvia demonstrate that the morphologically complex Salvia caespitosa is not a single species but instead comprises at least four distinct species, three with narrow distributions. This conclusion is supported by integrative evidence from extensive field studies, herbarium …

A New Species Of The Genus Heracleum From Türkiye: H. Papilionaceum (Apiaceae: Tordyliaea​), Mehmet Sağiroğlu, Mardiya Sabdani̇, Bariş Bani̇, Hayri̇ Duman

Turkish Journal of Botany

A new species, Heracleumpapilionaceum (Apiaceae: Tordylieae), is described and illustrated from the Elmacık Mountains, Bolu Province, northwestern Türkiye. Morphological studies and phylogenetic analyses based on nuclear ribosomal (nr)DNA Internal Transcribed Spacer sequences placed the new species close to H. apiifolium and H. munzurense. Comparative morphological and fruit anatomical data, images, and a distribution map are provided. An International Union for Conservation of Nature Red List assessment is also presented, supporting its classification as Critically Endangered.

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

Erginia (Asteraceae: Cichorieae: Crepidinae), A New Genus Accommodating Chondrilla Spinosa, An Orphan Species Of Localized Distribution In Southeastern Anatolia, Murat Erdem Güzel, Kami̇l Coşkunçelebi̇, Serdar Makbul, Mutlu Gültepe, Zeynepnur Alemdağ, Norbert Kilian

Turkish Journal of Botany

The new genus Erginia is established to accommodate Chondrilla spinosa, a species of previously uncertain systematic placement, with a highly localized distribution in Southeastern Anatolia (Türkiye) on alpine screes along two mountain ridges. Although there has been general agreement that the species is a member of the subtribe Crepidinae in its wider sense, including the Chondrillinae, its placement in Chondrilla is based on the superficial resemblance of its achene features, which also do not match any other known genus, and no molecular phylogenetic analysis had clarified its sister group. In this study, we produce additional micro- and macromorphological as well …

Integrative Data Inform The Taxonomy Of Salix: A Case Study Of S. Purpurea L. Subsp. Leucodermis Yalt. (Salicaceae) From Türkiye, Peli̇n Acar, Yasi̇n Kaya, Dudu Özlem Mavi̇ İdman, Irina V. Belyaeva

Turkish Journal of Botany

The study of endemic species provides valuable perspectives on evolutionary history and future targets for their conservation. Salix purpurea L. subsp. leucodermis Yalt., which is endemic to Sandras Mountain in Türkiye, was analysed using morphological, anatomical, and genomic methods. This study presents the first draft short-read sequence of S. purpurea subsp. leucodermis, providing preliminary genomic evidence of differentiation from related taxa. This study also revealed a specific combination of anatomical features (prominent calcium oxalate crystals and amphistomatous leaves) and morphological characteristics (striated wood, glabrous buds, absence of stipules) that differentiate the taxon in question from the closely related species S. …

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 …

Effects Of Calcium And Magnesium Ions On Wheat (Triticum Aestivum) Chromosome Structure Visualized Using Light And Scanning Elec​Tron Microscopes, Andi Salamah, Fitri Amalia Nurchasanah, Vycka Fikriyani Fairuz, Astari Dwiranti

Turkish Journal of Botany

Divalent cations, particularly calcium (Ca2+) and magnesium (Mg2+), are essential for maintaining chromosomal architecture, yet their roles in plants remain poorly characterized. This study investigated the effects of Ca2+ and Mg2+ on the chromosomal structure of wheat (Triticum aestivum, 2n = 6x = 42), a widely used model in plant cytogenetics. Root-tip chromosomes were isolated enzymatically and treated with BAPTA (a Ca2+-specific chelator), EDTA (a broad cation chelator), and buffer solutions containing either 5 mM Mg2+ (XBE5) or no Mg2+ (XBE). Chromosomes were stained with aceto-orcein for light microscopy and processed for scanning electron microscopy (SEM). Microscopic observations revealed that …

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 …