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Understanding And Supporting Sustained Attention In Young Children: What Research Tells Us About Choice, Play, And Teaching Conditions, Cynthia F. Dicarlo, Carrie L. Ota Dec 2025

Understanding And Supporting Sustained Attention In Young Children: What Research Tells Us About Choice, Play, And Teaching Conditions, Cynthia F. Dicarlo, Carrie L. Ota

Spark! Innovations in Early Childhood Education: A Research-to-Practice Journal for Educators

This article examines how sustained attention develops in young children and how different teaching conditions influence engagement during play. Drawing on studies with two-, three-, and four-year-olds, the findings show a developmental progression in which toddlers benefit from limited, adult-guided choices, while preschoolers sustain attention best when given autonomy to select their own materials. The article highlights how play, intentional choice-making, and age-appropriate scaffolding support children’s emerging self-regulation and engagement. Practical strategies are provided to help teachers design environments and interactions that promote deeper focus and independent learning.

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Using Food As A Fun And Effective Teaching Tool In Preschool, Kelly Furr, Melani Duffrin, Eugene A. Geist Dec 2025

Using Food As A Fun And Effective Teaching Tool In Preschool, Kelly Furr, Melani Duffrin, Eugene A. Geist

Spark! Innovations in Early Childhood Education: A Research-to-Practice Journal for Educators

Food is one of the most engaging, hands-on materials for preschool classrooms. This article highlights research from the Food FAN Academy (Furr, 2023), which demonstrates how food can be used as a teaching tool across early childhood learning environments. Practical strategies are provided for preschool teachers, including detailed lesson plans that connect to early math, science, literacy, and social development. The article emphasizes the importance of using everyday materials, cultural inclusivity, and active learning methods to promote curiosity, health awareness, and foundational skills in young learners.

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Abcs Of Behavior: Strategies To Effectively Reduce Challenging Behaviors, Sarah Matthews Dec 2025

Abcs Of Behavior: Strategies To Effectively Reduce Challenging Behaviors, Sarah Matthews

Spark! Innovations in Early Childhood Education: A Research-to-Practice Journal for Educators

This paper explores the application of the ABC (Antecedent-Behavior-Consequence) model and functional behavior assessments (FBAs) to understand and manage challenging behaviors in early childhood education settings. Grounded in developmental theory and informed by professional experience as an early interventionist, the paper emphasizes the importance of identifying behavioral triggers and using individualized, developmentally appropriate strategies. The role of collaboration among teachers, families, and specialists is highlighted as essential for consistent and effective intervention. Key strategies discussed include coaching caregivers, embedding interventions within natural classroom environments, and using positive, non-punitive approaches to time-out. The paper advocates for proactive, respectful behavioral guidance practices …

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Painting The Past: Trauma And Identity In The Best We Could Do, Ellie Heslon Dec 2025

Painting The Past: Trauma And Identity In The Best We Could Do, Ellie Heslon

Student Scholar Symposium

Born in Vietnam in 1975, three months after the fall of Saigon and the establishment of the communist regime, Thi Bui experienced her first few years of life in a nation wrought with crisis and confusion. Bui’s graphic memoir, The Best We Could Do, paints an intimate history of her family’s journey as refugees from Vietnam to America. She details a personal record of the traumas of displacement, concretizing a biproduct of war often overgeneralized. Through shape and color, Bui portrays a non-linear narrative of stories that are both connected and disconnected, blending where identity and heritage begin and end. …

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The Analysis Of Ellen White’S Writings Regarding Personal Power As Applied To The Hagberg Model Of Leadership And Power, Stanley E. Patterson Dec 2025

The Analysis Of Ellen White’S Writings Regarding Personal Power As Applied To The Hagberg Model Of Leadership And Power, Stanley E. Patterson

Ellen White Issues Symposium

No abstract provided.

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Can A Biblical Inspired Writer Use Literary Sources?, Jiří Moskala Dec 2025

Can A Biblical Inspired Writer Use Literary Sources?, Jiří Moskala

Ellen White Issues Symposium

No abstract provided.

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D. M. Canright, Ellen White, And Inspiration: A Crisis In The Making, Jud Lake Dec 2025

D. M. Canright, Ellen White, And Inspiration: A Crisis In The Making, Jud Lake

Ellen White Issues Symposium

No abstract provided.

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Full Issue - Excelsior 18.1, Excelsior Dec 2025

Full Issue - Excelsior 18.1, Excelsior

Excelsior: Leadership in Teaching and Learning

No abstract provided.

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Creating A Decision-Making Curriculum For Students With And Without Disabilities In Grades P-12, Gina Riley, Elizabeth Klein, Alfonso Perez, Imani Irving Perez, Adriana D. Nathan Dec 2025

Creating A Decision-Making Curriculum For Students With And Without Disabilities In Grades P-12, Gina Riley, Elizabeth Klein, Alfonso Perez, Imani Irving Perez, Adriana D. Nathan

Excelsior: Leadership in Teaching and Learning

No abstract provided.

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Empowering Future Teacher Leaders Through Peer Mentoring, Stephanie M. Banks Dec 2025

Empowering Future Teacher Leaders Through Peer Mentoring, Stephanie M. Banks

Excelsior: Leadership in Teaching and Learning

No abstract provided.

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Professional Learning About And Through Schoolwide Co-Teaching: A Path To Develop Adaptive Expertise, Jennifer Sharples Reichenberg Dec 2025

Professional Learning About And Through Schoolwide Co-Teaching: A Path To Develop Adaptive Expertise, Jennifer Sharples Reichenberg

Excelsior: Leadership in Teaching and Learning

No abstract provided.

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Teachers’ Thoughts About Using Ai Technologies In Classroom Lessons, Francine Falk-Ross, Peter Mcdermott Dec 2025

Teachers’ Thoughts About Using Ai Technologies In Classroom Lessons, Francine Falk-Ross, Peter Mcdermott

Excelsior: Leadership in Teaching and Learning

No abstract provided.

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Teacher Candidates’ Perceptions Of Online Tutoring As Early Field Experience, Kathryn Alton, Alison Puliatte, Megan Lawless, Yong Yu Dec 2025

Teacher Candidates’ Perceptions Of Online Tutoring As Early Field Experience, Kathryn Alton, Alison Puliatte, Megan Lawless, Yong Yu

Excelsior: Leadership in Teaching and Learning

No abstract provided.

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The Captain Goes To Church, James R. Nix Dec 2025

The Captain Goes To Church, James R. Nix

Ellen White and Current Issues Symposium

No abstract provided.

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The Early Translation Of Ellen G. White Books Into Spanish, Gluder Quispe Dec 2025

The Early Translation Of Ellen G. White Books Into Spanish, Gluder Quispe

Ellen White and Current Issues Symposium

No abstract provided.

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The Phenomenon Of Prophecy And Role Of Prophets In The Old Testament Compared With The Ministry Of Ellen G. White, Jiří Moskala Dec 2025

The Phenomenon Of Prophecy And Role Of Prophets In The Old Testament Compared With The Ministry Of Ellen G. White, Jiří Moskala

Ellen White and Current Issues Symposium

No abstract provided.

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Gift Of Prophecy And The Church: A Biblical Perspective, Ranko Stefanovic Dec 2025

Gift Of Prophecy And The Church: A Biblical Perspective, Ranko Stefanovic

Ellen White and Current Issues Symposium

No abstract provided.

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The Relationship Between Ellen White, Authority And The Authority Of The Bible In Adventism, George Knight Dec 2025

The Relationship Between Ellen White, Authority And The Authority Of The Bible In Adventism, George Knight

Ellen White and Current Issues Symposium

No abstract provided.

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The Consequences Of Fear: How Media Literacy Teachers Adapt To Teaching In An Autocratic Regime, Sait Tuzel Dec 2025

The Consequences Of Fear: How Media Literacy Teachers Adapt To Teaching In An Autocratic Regime, Sait Tuzel

Journal of Media Literacy Education Pre-Prints

While media literacy education experienced significant growth in Turkey during the early part of the decade, since the attempted coup on July 15, 2016, Turkish educators have struggled with uncertainty and social mistrust generated by the disappearance of independent journalism and the arrests of many thousands of educators, judges, and researchers. This longitudinal study of media literacy teachers in Turkey examines the professional challenges that media literacy teachers experienced between 2015 and 2020 as they adapted to increased fear and the risks associated with teaching about media. Unable to use media materials beyond the state-sanctioned textbook, teachers now evaluate the …

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Deep Learning-Based Fog-Cloud Approach Intrusion Detection System In Iomt, Yahya Rbah, Mohammed Mahfoudi, Mohammed Fattah, Younes Balboul, Said Mazer, Moulhime Elbekkali Dec 2025

Deep Learning-Based Fog-Cloud Approach Intrusion Detection System In Iomt, Yahya Rbah, Mohammed Mahfoudi, Mohammed Fattah, Younes Balboul, Said Mazer, Moulhime Elbekkali

Iraqi Journal for Computer Science and Mathematics

The Internet of Medical Things (IoMT) creates an interconnected environment linking humans, devices, sensors, and systems, enhancing healthcare services through advanced technologies. Nonetheless, these IoMT devices are susceptible to cyberattacks, which can endanger patient safety and healthcare services. To identify and mitigate cyberattacks in IoMT, techniques such as threat intelligence, log monitoring, and intrusion detection systems are employed. As attackers evolve their strategies, there is a growing trend towards leveraging artificial intelligence to achieve more predictive and accurate attack detection. Since IoMT devices are inherently low-power, they require minimal computing resources. Existing intrusion detection systems are generally trained in the …

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Multitaskvenationnet: A Multi-Task Deep Neural Network With Strip Pooling And Hybrid Upsampling For Leaf Vein Segmentation, Ishak Ariawan, Ahmad Ashari, Moh. Edi Wibowo Dec 2025

Multitaskvenationnet: A Multi-Task Deep Neural Network With Strip Pooling And Hybrid Upsampling For Leaf Vein Segmentation, Ishak Ariawan, Ahmad Ashari, Moh. Edi Wibowo

Iraqi Journal for Computer Science and Mathematics

Leaf vein segmentation is a critical task in plant phenotyping and species classification, yet it remains challenging due to the hierarchical, curvilinear nature of veins and interference from complex backgrounds. Existing methods face three key limitations. First, they lack directional context modeling, leading to blurred vein boundaries and the omission of fine venation. Second, they fail to effectively capture global dependencies, limiting semantic coherence across spatial regions. Third, they do not incorporate explicit mechanisms for detecting vein discontinuities, which is essential for complete topological understanding. To address these challenges, we propose MultiTaskVenationNet (MTV-Net), a multi-task deep segmentation framework that integrates …

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Optical Dynamic Hybrid Disaggregation System Using Micro-Led, N/A Dec 2025

Optical Dynamic Hybrid Disaggregation System Using Micro-Led, N/A

Defensive Publications Series

The present disclosure is directed to a flexible and resilient architecture for computer systems, focusing on optical hybrid disaggregation to manage heterogeneous computing resources. An approach utilizes overprovisioned optical connectivity, specifically leveraging high-density micro-LED technology, to establish a high-bandwidth, peer-to-peer communication fabric between modular units. By integrating silicon switching intelligence directly into the modular units, the approach can bypass the latency and contention issues associated with centralized fabrics. A dynamic software control plane may be utilized to manage a distributed network, enabling rapid reconfiguration to optimize the compute-to-memory ratio for specific workloads, thereby enhancing fungibility, improving power efficiency, and reducing …

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Ai & Chemistry, Evelina Jaleniauskiene Dec 2025

Ai & Chemistry, Evelina Jaleniauskiene

Teaching Repository of AI-Infused Learning

"AI & Chemistry" is a four-week language-learning project based on the action-oriented approach. The project asks students to complete two main tasks: prepare an individual Ignite talk and a partnered podcast on any subtopic related to the use of AI in chemistry. Beyond language skills, the project additionally aims to encourage students’ collaboration with AI-powered tools and enhance their AI literacy. All project steps are detailed in an additional PDF file. The integration of the project is not restricted to a language course; it can be adapted for any university-level communicative course.

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Book Of Abstracts, Seton Hall University Dec 2025

Book Of Abstracts, Seton Hall University

2025 Augustine Undergraduate Research Symposium

No abstract provided.

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Examining Emotional Intelligence Strategies Of Human Resource Administrators For Women’S Leadership In Healthcare, Selenda Johnson Dec 2025

Examining Emotional Intelligence Strategies Of Human Resource Administrators For Women’S Leadership In Healthcare, Selenda Johnson

Walden Dissertations and Doctoral Studies

Gender-based distinctions between leaders create differences in leadership methods that reshape their choices and teamwork approaches. Human Resource Administrators are concerned with how the lack of organizational support for Emotional Intelligence (EI) in female leaders influences them to leave, potentially leading to increased organizational costs. Grounded in Emotional Intelligence theory, the purpose of this qualitative pragmatic study was to explore EI strategies used by healthcare administrators in the Southeastern United States to increase female leadership retention in their organizations. The participants were 6 HR administrators with at least 2 years of experience from healthcare organizations who successfully implemented EI strategies …

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The Under-Prosecution Of White-Collar Crime, Joseph Whalen Dec 2025

The Under-Prosecution Of White-Collar Crime, Joseph Whalen

Honors Program

White-collar crime comprises nonviolent, financially motivated offenses by individuals and corporate entities. The social costs are immense, yet the prosecution of such crimes is comparatively small compared to other forms of non-violent crime, often resolving with opaque settlements rather than prosecution. This study examines why under-prosecution is so prevalent in white-collar crime, how it undermines democratic trust, and what reforms could be implemented to improve accountability. Under-prosecution will be operationalized through a mixed-methods design, accounting for the most observable proxies. First, the share of filings involving white-collar offenses; second, the prevalence of deferred or non-prosecution agreements (hereinafter referred to as …

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Performance Of Adaptive Wingtips On A Tailless Supersonic Business Jet, Khushi Piparava Dec 2025

Performance Of Adaptive Wingtips On A Tailless Supersonic Business Jet, Khushi Piparava

2025 Fall Honors Capstones Projects - Archive

The growing interest in supersonic business travel has renewed focus on efficient, low-drag configurations that can achieve high performance while maintaining stability and structural integrity. This research investigates the aerodynamic and structural implications of adaptive folding wingtips on a tailless supersonic business jet (SBJ) concept designed under the SkyBreaker senior design program. Using a conceptual aerodynamic model based on linearized supersonic theory, the Polhamus leading-edge suction analogy, and an empirical compression-lift correlation, the study evaluates how varying wingtip droop angles influence lift, drag, lift-to-drag ratio (L/D), and static stability. The analysis was performed parametrically in MATLAB, using geometry inputs derived …

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My First Conversation With Chatgpt (February 22, 2023): Origins Of A Generative Dialogue, David Smith Dec 2025

My First Conversation With Chatgpt (February 22, 2023): Origins Of A Generative Dialogue, David Smith

Publications and Research

This working paper presents the first recorded interaction between the author and the generative AI system ChatGPT, written on February 22, 2023 during the initial weeks of a faculty sabbatical in Boston. The document preserves a complete and unedited transcript of an exploratory conversation conducted without predetermined research aims, marking the author’s first encounter with a large-language-model conversational interface. Although the exchange includes creative experimentation—including musical and poetic prompts—the discussion remains informal and wide-ranging, and no theoretical framework is articulated at this stage. Rather, this transcript is published as primary-source material documenting the moment of discovery and experimentation that precedes …

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Exploring The Potential Of Artificial Intelligence To Improve The Journal Peer Review Process, Eliza Fanny Bondah Dec 2025

Exploring The Potential Of Artificial Intelligence To Improve The Journal Peer Review Process, Eliza Fanny Bondah

Theses and Dissertations

Academic publishing depends on the peer review process to guarantee quality, scholarly rigor, and credibility, but the traditional peer review system receives mounting criticism because of its inefficient operations, biased judgments, and irregular standards. This study explores how artificial intelligence (AI) can improve journal peer review systems to solve a variety of issues, including reducing reviewer exhaustion, minimizing bias, improving consistency, and accelerating the review process. Current literature shows AI as a promising yet controversial solution, which may provide structured feedback with improved consistency and efficiency. Our study examined 52 human reviews together with 26 AI-generated reviews from EdTechnica--An Open …

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Bayesian Alignment Prior To Connectionist Temporal Classification Loss, Lawry Sorenson Dec 2025

Bayesian Alignment Prior To Connectionist Temporal Classification Loss, Lawry Sorenson

Theses and Dissertations

We propose revisions of Connectionist Temporal Classification (CTC) loss and forced alignment to support longer input sequences. CTC loss is normally used for training in speech and handwriting recognition tasks when the labels are not fully aligned with the data, while forced alignment is a downstream task that finds the optimal path for segmentation purposes. The current implementations consider all possible alignments between the input and label, which grows exponentially with the size of the input. We show that in cases when silence is removed and speaking rate is consistent, the true alignment is a mostly straight line across time …

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