Digital Commons Network^™

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

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 …

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 …

Scalefusion: Hierarchical Feature Aggregation For Unified Multiscale Object Detection, Ayşenur Yaylaci, Berru Kaya, Mehmet Kiliçarslan

Turkish Journal of Electrical Engineering and Computer Sciences

Detecting objects across a wide range of scales, particularly small ones, remains a significant challenge in computer vision. Existing methods often improve small object detection at the cost of performance on larger objects or introduce significant computational overhead through external techniques like image slicing. This paper introduces ScaleFusion, a novel, unified, end-to-end object detection architecture designed to provide robust performance across all scales within a single model. The core of our approach is a hierarchical feature aggregation strategy structured like a tree. ScaleFusion processes an image by running a shared backbone network only on fine-grained patches at the lowest level …

Investigating The Links Between Parent Math Anxiety, Parenting Behaviors, And Child Math Achievement And Math Anxiety In Middle Childhood, Kimia Akhavein

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Existing research indicates that parents’ math anxiety is a robust predictor of children’s math achievement and math anxiety. The current dissertation study moved the literature forward by examining the transmission of parents’ math anxiety to children’s math achievement and math anxiety via autonomy-supportive and controlling parenting behaviors using an observational coding scheme during a homework help task when children were in second grade. The first research aim examined if parents’ autonomy supportive and controlling behaviors mediated the link between parents’ math anxiety and children’s math achievement and math anxiety one year later. The second research aim examined whether parents’ emotion …

Beyond Static Measures: The Predictive Validity And Classification Accuracy Of A Dynamic Assessment Of Decoding For Early Elementary, Bridgett Bakula

Theses and Dissertations

Early and accurate identification of children at risk for reading difficulty is essential to prevent long-term academic failure, yet traditional static assessments often struggle to distinguish between a true reading disorder and a lack of prior instruction. This is particularly evident in the early grades, where floor effects and cultural/linguistic biases limit the classification accuracy of traditional screeners. This study investigated the predictive validity and structural utility of the modifiability index of a dynamic assessment (DA) of decoding, administered in kindergarten. Unlike static measures that evaluate "already actualized" knowledge, DA measures a student's learning potential and modifiability, or the capacity …

Pengembangan Diorama Dunia Mini Kita Sebagai Media Pembelajaran Ipas Pada Materi Denah Lingkungan Di Kelas Iii Sekolah Dasar, Sunya Tiara Putri, Aditya Pringga Satria, Leny Suryaning Astutik

Journal of Innovation and Teacher Professionalism

The present study aimed to develop the Dunia Mini Kita Diorama as a learning medium for the topic of neighborhood maps in Grade III Natural and Social Sciences (IPAS) and to determine its validity and practicality. This study employed the Research and Development (R&D) method using the ADDIE model, which consists of five stages: Analysis, Design, Development, Implementation, and Evaluation. The participants included two media experts, two subject matter experts, one Grade III teacher, and 28 Grade III students of SD Negeri 1 Kalidawir. Data were collected through observations, interviews, documentation, expert validation sheets, and teacher and student response questionnaires. …

Swindeitvit: A Soft Voting Vision Transformer Ensemble For Accurate And Explainable Solar Panel Fault Detection, Mahe Zabin

Turkish Journal of Electrical Engineering and Computer Sciences

Solar panels are becoming very essential in providing sustainable energy but they are usually affected by defects on the surface like dust, snow, bird droppings, physical damages and electrical faults which interfere with their performance. These faults must be identified accurately and in a timely manner to enhance energy efficiency, lower the maintenance cost, and supplement the traditional manual methods of inspection which are labor-intensive, time-consuming and subject to human errors in judgment. The most common methods, such as traditional CNNs and hybrid architectures tend to be less accurate, less explainable and cannot be properly evaluated to be deployed in …

Assessing The Role Of Model Complexity In Virtual Clinical Trial Outcomes, Jana L. Gevertz, Joanna R. Wares

Department of Math & Statistics Faculty Publications

Virtual clinical trials (VCTs) hold significant promise for improving the drug development process, yet their predictive reliability depends critically on design decisions that remain poorly understood. This study examines how model complexity influences VCT outcomes, as well as how the choice of prior parameter distributions and virtual patient inclusion criteria affects those outcomes. Using oncolytic virotherapy treatment of murine tumors as a case study, we compared a relative hierarchy of three mathematical models of increasing complexity under different parameter priors (uniform and normal distributions) and two inclusion methods (accept-or-reject and accept-or-perturb). Our results demonstrate that the simplest model produces a …

Oregon State Rank Assessment For Steens Mountain Cushion Buckwheat (Eriogonum Ovalifolium Var. Rubidum), Lindsey K. Wise

Institute for Natural Resources Publications

Oregon state conservation status assessment for Steens Mountain Cushion Buckwheat (Eriogonum ovalifolium var. rubidum) using NatureServe methodology, 2026.

Fostering Collaboration Through Learning Communities: A Case Report On Engaging With All Of Us Data Among Library Professionals, Faculty, And Students, Zachary Mcniece, Dawn Hackman, Nick Szydlowski, Yuqi He

Faculty Research, Scholarly, and Creative Activity

Background: Research data services (RDS) have expanded in academic libraries but can be challenging to develop, particularly in teaching-intensive and less-resourced institutions. Learning communities offer a promising model for building skills, fostering collaboration, and aligning services with local needs. Case Presentation: This case report describes the development and implementation of three learning communities—a library group, a faculty group, and a student group—at a teaching-focused institution. These communities brought together library professionals, faculty, and students from diverse disciplines—including health sciences, education, data science, and engineering—to collaboratively explore the All of Us dataset. By working with the same dataset, participants were able …

Llm-As-A-Judge For Infection Prevention And Control And Antimicrobial Resistance Impact: Comparing Three Main Llms Vs. Human Experts' Assessment, Marcello Di Pumpo, Leonardo Villani, Maria Rosaria Gualano, Danilo Buonsenso, Francesca Raffaelli, Daniele Donà, Patrizia Laurenti, Vittorio Maio, Stefania Boccia, Walter Ricciardi

College of Population Health Faculty Papers

BACKGROUND: Large language models (LLMs) are increasingly used to generate health information, yet their reliability as evaluators remains unclear. This study investigated the feasibility of an LLM-as-a-judge methodology in the context of infection prevention and antimicrobial resistance (AMR), comparing automated ratings with human expert benchmarks.

METHODS: We performed a secondary analysis of an expert-annotated dataset of health messages. Three leading LLMs (ChatGPT, Claude, Gemini) independently evaluated the same messages using an adapted DISCERN tool across five domains: information reliability, quality, AMR impact, persuasiveness, and overall score. We utilized descriptive statistics, intra-rater reliability tests, and mixed-effects ordinal regression to analyze divergence …

God > Grit: A Phenomenological Analysis Of Intrinsic And Extrinsic Motivating Factors For Black Male Students Previously Labeled “At-Risk”, Marcia J. Watson-Vandiver

The Journal of Faith, Education, and Community

This phenomenological study examines the intersections of faith, learning, and racialized experiences in K-12 schooling. In doing so, this research explores the experiences of Black[1] males in U.S. public schools who were once labeled academically or behaviorally “at risk.” Here, at-risk is a term that typically applies to students “in jeopardy of progressing academically due to circumstances that may impact educational performance” (MSDE, 2018). While the purview of academic, school discipline, and behavior discourse are saturated with conversations on racial disparities, the exigent problem still remains. As such, this research provides a nuanced probe into intrinsic and extrinsic motivating …

Perceptions Of The Divine In Secular Spaces: A Study Of U.S. Public-School Teachers, Dennis Eastman, Nicholas Block

The Journal of Faith, Education, and Community

Teaching is often understood by Christian educators as a vocation shaped by divine purpose, yet little empirical research has examined how teachers perceive God’s active involvement in their daily professional practice. This qualitative study investigates how Christian teachers interpret perceived divine activity in their work, focusing on specific experiences of guidance, influence, and sustenance rather than general religious identity. Thematic analysis of open-ended survey responses from practicing teachers (N = 267) identified seven themes, including perceived impact on students’ lives, divine guidance in instructional and relational decisions, and endurance amid professional strain. Participants commonly described God’s activity as …

“I Want My Students To Be Knowledgeable About Civics”: Supporting Pre-Service Teachers Through A Civics-Focused Plc, Helena M. Sands, Daniela Kruel Digiacomo, Laura Darolia, Carly Muetterties, Stephanie Mobley

Kentucky Teacher Education Journal: The Journal of the Teacher Education Division of the Kentucky Council for Exceptional Children

This study describes a semester-long, civics-focused Professional Learning Community (PLC) with five elementary pre-service teachers (PSTs). Using inductive qualitative analysis of meeting transcripts, reflections, and field notes, three themes emerged: the PLC increased PSTs' confidence in integrating civics across the curriculum, built community through shared practicum experiences, and provided resources that broadened their understanding of civic learning. Findings suggest PLCs offer a promising structure for preparing elementary PSTs to prioritize civic education in their future classrooms.

Evaluating The Impact Of The Kentucky Read To Achieve (Rta) Initiative On School Reading Performance, Nicholas Gage, Erin Hogan, Todd Whitney, Terrance M. Scott, Amy S. Lingo

Kentucky Teacher Education Journal: The Journal of the Teacher Education Division of the Kentucky Council for Exceptional Children

Kentucky reading achievement has remained below statewide goals, which prompted a revision to the Read to Achieve (RTA) initiative, a state-level grant-funded program aimed at improving student literacy outcomes. The revision prioritized the professional learning of administrators and K-3 reading instructional staff in the science of reading and the adoption of high-quality structured literacy-based resources and aligned intervention resources. This study uses nine years of panel data (2014–2015 through 2023–2024) from all public schools in Kentucky to evaluate whether the revised RTA initiative had a differential effect on school-level reading outcomes. We employ propensity score matching and a heterogeneous difference-in-differences …

Preparing Teachers Where Teaching Happens: Designing Embedded Assignments In A School-University Partnership, Michael Dicicco, Shawn A. Faulkner

Kentucky Teacher Education Journal: The Journal of the Teacher Education Division of the Kentucky Council for Exceptional Children

School-University partnerships (SUP) allow more opportunities for teacher candidates to bridge theory and practice. Working together teacher candidates gain valuable experience applying concepts in their classes with classroom teacher mentors. However, these partnerships can be complex and highly context dependent. Developing university course assignments for a SUP can be difficult. This article highlights a set of intentionally designed assignments the authors have developed over the last 8 years within an SUP. The goal is provide practical examples for those who are creating their own SUP.

Monotone-Narrowing Multi-Layer Tool-Capability Downgrade At The Agent-Sdk Boundary, Gustavo Matthew Assuncao

Defensive Publications Series

Modern LLM "agent" runtimes expose a set of powerful tools — shell execution, file writes, edits, notebook mutation, sub-agent spawning — to a model that decides, from natural language, which tools to invoke. When such a runtime is reachable from an untrusted channel (an inbound email address, a public webhook, a chat integration), the tool surface becomes an attack surface: a single misconfiguration that leaves a mutating tool reachable converts a "read-only diagnostics" feature into remote code execution. This publication discloses a concrete, enabling mechanism that makes such a misconfiguration structurally impossible for the restricted channel: a monotone-narrowing multi-layer tool-capability …

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Application Of Assistive Technologies And Rendering Assistive Services To Students With Special Needs By Federal University Libraries: A Survey, Emmanuel Chidiadi Onwubiko

Library Philosophy and Practice (e-journal)

The world as of today, is being said to be witnessing what one may tagged a technological revolution as never before and is transforming for the better, the future of global education in which case, every learner is considered. These newly created technological tools and plans did place librarians as information managers and digital literacy drivers in better position to come up with environments that are inclusive for all learners to achieve their desired goals. The study therefore is a survey on the application of assistive technologies and rendering assistive services to students with special needs by federal universities libraries …

Tails From The Isle Of Devils: Two New Records Of Non-Native Invasive Scorpions (Arachnida: Scorpiones) Successfully Intercepted In Bermuda, Including The First Record Of Caraboctonidae, Danniella Sherwood, Mark Outerbridge, Struan R. Smith, Jenny Gosling, Myles Darrell

Euscorpius

Hadruroides sp. (Scorpiones: Caraboctonidae) is newly recorded as a successfully intercepted non-native invasive species in Bermuda, based on examination of a desiccated and damaged immature female specimen. A second record of an intercepted Centruroides gracilis (Latreille, 1804) (Scorpiones: Buthidae) is reported based on examination of an adult male.

Presentation Note Of The Manual "Elements Of Mathematics And Statistics For Economists", Fouzi Mourji

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

This paper presents a two-volume textbook on mathematics and statistics for economics students. The authors, Fouzi Mourji and Najib Mikou, emphasize that the introduction of quantitative methods in economics is a recent but irreversible phenomenon, noting that major theoretical advances in economics have often followed mathematical breakthroughs. The manual is designed to complement lectures and tutorials, helping students master basic concepts in economics curricula and understand their practical applications for economic decision-making. The presentation highlights the importance of mathematical tools for understanding economic mechanisms and rationalizing decision-making processes, while acknowledging the manual's imperfections.

Evaluation And Improvement Of Method For Uncertainty In The Determination Of Lead In Tea By Icp-Ms, Sun Yingze

Food and Machinery

[Objective] To evaluate the uncertainty in the determination of lead in tea by inductively coupled plasma–mass spectrometry (ICP-MS) and to improve the method so as to enhance the quality of the analytical results. [Methods] Based on the mathematical model and the experimental procedure, the sources of uncertainty components were analyzed and combined. [Results] When the lead content in tea was 0.346 mg/kg, the expanded uncertainty was 0.026 mg/kg at a 95% confidence level (k = 2). After method improvement, the combined relative standard uncertainty decreased from 0.038 to 0.019, and the expanded uncertainty decreased from 0.026 mg/kg to 0.013 mg/kg. …

Optimization Of Probiotic Fermentation Process And Effects Of Drying Methods On The Quality Of Sea Buckthorn Leaves, Dong Xiaoyue, Yun Xueyan, Zhang Lu, Dong Tongliga, Zhao Chenxi, Te Jinwei, Wang Xiukuan, Hao Qian, Miao Meishu, Su Ke

Food and Machinery

[Objective] To investigate the effects of probiotic fermentation conditions and drying methods on the quality of fermented sea buckthorn leaf products. [Methods] Lactiplantibacillus plantarum is used for fermentation. The fermentation process of sea buckthorn leaves is optimized through single-factor experiments combined with response surface methodology. Fermented sea buckthorn leaf extract is prepared under the optimal fermentation conditions and subsequently processed into freeze-dried powder by direct freeze-drying and spray freeze-drying, with or without low-voltage electrostatic field assistance. The effects of different treatments on viable cell counts, flavonoid and polyphenol retention rates, water activity, and in vitro digestion characteristics are evaluated. [Results] …

The Effects Of Differential Exposure To Learning Trials On Maintenance Of Behavior Analytic Terminology, Kara Adams

Doctoral Dissertations - College of Arts and Sciences

Previous research has demonstrated the efficacy of continued practice of a task beyond one correct instance on maintenance of a variety of tasks, including vocabulary, city-country pairs, and mazes. Overlearning refers to the improved maintenance of performance on a task as a result of continued practice beyond one errorless trial. The current study established behavioranalytic term definitions and evaluated the effects of differential exposure to learning trials beyond mastery on maintenance of term definitions across substantially longer intervals than previously studied. Six individuals enrolled in a graduate program in applied behavior analysis participated in this study. We systematically manipulated the …

Building The Next Cybersecurity Workforce: A Grades 7–12 Curriculum To Close The Cyber Talent Gap, Mohammed A. Salam, Iqbal Shareef, Rich P. Manprisio

Journal of Cybersecurity Education, Research and Practice

In today’s rapidly evolving technological landscape, cyberattacks pose increasing threats, yet a global shortage of cybersecurity and digital forensics professionals leaves industries vulnerable, similar to having too few law enforcement officers in a densely populated city. The judicial system faces rising digital crimes and fraud cases, further strained by the lack of experts to analyze and extract digital evidence. Despite high demand, millions of positions remain unfilled. This paper identifies the root causes of the cybersecurity workforce shortage and proposes a targeted solution: a curriculum for Grades 7–12 designed to foster cybersecurity awareness and interest. The methodology included a comprehensive …

Fred Luthans, Unl Business Management, Positive Organizational Behavior, Mark Griep, Fred Luthans

UNL ORCA Interview Series

Fred Luthans was awarded the ORCA in 2008. He was born in Clinton, Iowa in 1939. He earned three degrees from the University of Iowa in Iowa City, located only a few miles from Clinton. His bachelor's was in mathematics in 1961, a Master’s of Business Administration in ‘62, PhD in Management and Psychology in 1965. After serving two years as a captain in the Army at West Point, where he taught psychology and leadership, he joined the University of Nebraska-Lincoln as an Associate Professor of Management. He's had a remarkable career, but I'll only mention three major distinctions. His …

Contemporary Cybersecurity Challenges In Emerging Technologies: A Systematic Literature Analysis, Faztudo Languisse Prof

Journal of Cybersecurity Education, Research and Practice

The accelerating convergence of artificial intelligence (AI), the Internet of Things (IoT), cloud computing, blockchain, and quantum computing has fundamentally transformed the global threat landscape, introducing cybersecurity challenges of unprecedented complexity and scale. This systematic literature review synthesizes findings from peer-reviewed publications, institutional reports, and regulatory documents published primarily between 2020 and 2025 to provide an integrated analysis of contemporary cybersecurity challenges across five key emerging technology domains. The review identifies critical vulnerabilities inherent to each domain, documents the evolution of threat actors and attack methodologies — including AI-powered ransomware, adversarial machine learning, and harvest-now-decrypt-later quantum attacks — and evaluates …

Cybersecurity Governance Of Industrial Iot In Sub-Saharan Africa: Policy Gaps, Threat Landscape, And Lessons From Comparative African Contexts, Faztudo Languisse Eng.

Journal of Cybersecurity Education, Research and Practice

The rapid deployment of Industrial Internet of Things (IIoT) systems across Sub-Saharan Africa's extractive, energy, logistics, and agro-industrial sectors has introduced a cybersecurity challenge of growing urgency: industrial networks that were designed for operational efficiency are increasingly exposed to cyber threats for which neither the organizations nor the regulatory frameworks are adequately prepared. This article examines the cybersecurity governance of IIoT systems in a developing African economy, using Mozambique as a primary case study and drawing comparative lessons from South Africa, Rwanda, and Kenya. Through an integrative literature review and documentary analysis of national digital, cybersecurity, and industrial policies, the …