Digital Commons Network^™

A New Deep Decoder Type Cascaded Feedforward Neural Network For Critical Heat Flux Prediction In Power Reactors, Rehan Zubair Khalid, Atta Ullah, Asifullah Khan, Mansoor Hameed Inayat, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Critical Heat Flux (CHF) is a fundamental parameter for ensuring the performance, reliability, safety, and economic viability of water-cooled nuclear reactors. Despite its significance, the absence of a deterministic theory for CHF prediction poses a substantial challenge in thermal engineering. Consequently, various experimental and numerical models have been developed, yet no universally accepted model comprehensively addresses the wide range of flow conditions encountered in practical applications. The accurate prediction of CHF remains a complex and critical task. This work introduces a novel Deep Decoder Type Cascaded feedforward Neural Network (DD-CFNN) to predict CHF across a broad spectrum of operating conditions. …

Mechanical And Thermal Characterization Of Additively Manufactured Carbon/Nylon 12 And Carbon/Peek Composites, Matik Heskin, Bradley Deuser, Thomas P. Schuman, K. Chandrashekhara, John Bayldon, Jeff Degrange, Steven Patterson, Neiko Levenhagen

Chemistry Faculty Research & Creative Works

This study explores additive manufacturing of carbon fiber-reinforced thermoplastic composites using the Composite-Based Additive Manufacturing (CBAM) process. Carbon/Nylon 12 and Carbon/PEEK composites were fabricated and evaluated through mechanical (compression, tensile, flexural, and impact) and thermal (DSC and TGA) tests. Carbon/PEEK exhibited superior mechanical performance, with 97.5% higher tensile strength, 79.8% higher elastic modulus, and 59.6% higher flexural strength compared to Carbon/Nylon 12. Thermal testing showed that Carbon/PEEK had higher thermal stability, beginning degradation at 350 °C versus 298 °C for Carbon/Nylon. These results indicate that CBAM-fabricated Carbon/PEEK composites are suitable for applications requiring high strength and temperature resistance.

A New Paradigm For The Supramolecular Structure Of Laterally Offset Diarenes: Polymorphs Ii Of Para-Substituted Acetophenone Azines, Yp.Ph.(Me)C.N.N.C(Me).Ph.Yp (Y = Cl, Br, Ch3), Harmeet Bhoday, Kaidi Yang, Steven P. Kelley, Rainer Glaser

Chemistry Faculty Research & Creative Works

The crystal structures of polymorphs II of acetophenone azines Y_pPhRCNNCRPhY_p with R = CH₃ and Y = Cl (1M), Br (2M), and CH₃ (8M) are discussed. The azine molecules in polymorphs II are Ci-symmetric with trans-azine moieties and conrotatory phenyl twists. Polymorphs 1M-I and 2M-I contain C2-symmetric enantiomers with pronounced azine twists and disrotatory phenyl twists and allow for strong lateral double T-contacts. The three polymorphs II exemplify the new Paradigm IV for the supramolecular architectures of "laterally offset diarenes" and result in "shiplap/flat" idioteloamphiphile monolayers. Intralayer lateral attraction is provided by edge-to-face arene-arene contacts …

Reimagining The Music Industry: In Search Of A More Perfect Union, Loren E. Mulraine -- Professor Of Law

Vanderbilt Journal of Entertainment & Technology Law

This Article challenges the long-standing accepted business model of the music industry, including recording contract terms, ownership of masters, artist recoupment, and copyright terminations. It explores the negative implications of failing to revise these methods and neglecting to create a more equitable relationship between artists and recording companies. Indeed, the music industry is an outlier from almost every commercial industry in its financing structure. As such, this Article suggests that the future industry model should include equity ownership of master recordings. It then reviews the need to revise contract terms and eliminate the unilateral options and the unduly burdensome clauses …

Bulletin Ninth District Ny November 2025

Bulletin of the Ninth District Dental Association

In the November 2025 issue, the reader will find the following feature articles:

• "Some Thoughts about AI in Dentistry," reprinted with permission from the Arizona Dental Association
• "ADA Trustee Corner - Ninth Letter from the ADA Second Trustee District to the NYSDA Components"
• "Message from the ADA President: A Year of Building Our Catherdral Together"

Also included are your monthly President's Message, event updates, continuing education opportunities, membership news and classifieds.

Optimizing Acid Mist Suppression: Unraveling Surfactant Effects On Bubble Formation And Bursting Dynamics In Copper Electrowinning, Ashish Kakoria, Mirza Muhammad Zaid, Aamir Iqbal, Ellen Amoako Afful, Guang Xu

Mining Engineering Faculty Research & Creative Works

The working mechanism of surfactant to reduce acid mist in copper electrowinning system is not well understood. Most of the studies are based on the surface tension reduction phenomenon but this is not the only function that causes acid mist reduction. In this paper, we investigated the effect of different surfactants on a bubble's residence time, terminal velocity, flow regime, and bursting dynamics using a high-speed camera. We have evaluated five different surfactants and found that the presence of surfactants reduces the terminal velocity, bubble diameter, and increases the residence time of the bubble in electrolyte. Especially for FC-1100, the …

Detección Automática De Noticias Falsas Mediante Técnicas De Procesamiento Del Lenguaje Natural., Jorge Galiano García

Máster en Inteligencia Artificial

En los últimos años, la aparición de noticias falsas ha supuesto un desafío significativo para la sociedad. Este tipo de noticias ha tenido un alto impacto en la opinión pública y en la toma de decisiones. El objetivo de este trabajo es desarrollar un sistema capaz de analizar la veracidad de las noticias permitiendo también establecer una comparativa entre distintos enfoques de PLN aplicado a la clasificación multiclase. Para abordar este problema se emplea el conjunto de datos LIAR2, al cual se le aplica un preprocesamiento completo adaptado a diversas técnicas de procesamiento del lenguaje natural (PLN). Asimismo, se estudian …

Agente Inteligente Especializado En Ciencia Deportiva Y Dietética, Alejandro Carrasco Calvo

Máster en Inteligencia Artificial

En un entorno digital saturado de información sobre salud, a menudo poco fiable y genérica, este proyecto aborda la necesidad de crear herramientas de inteligencia artificial que ofrezcan respuestas personalizadas y basadas en evidencia científica. Este proyecto presenta el desarrollo de un agente conversacional autónomo, especializado en ciencia deportiva y dietética, cuyo diseño se fundamenta en un mecanismo de enrutamiento inteligente. Para proporcionar respuestas precisas, el agente está dotado de un doble sistema de acceso a la información: la capacidad de ejecutar consultas SQL directas sobre bases de datos estructuradas y un sistema de Generación Aumentada por Recuperación (RAG) para …

Sistema De Recomendación Para Identificar Conexiones Y Oportunidades Entre Los Socios De Secpho Usando Inteligencia Artificial, Yanick Jose Medina Ruiz

Máster en Inteligencia Artificial

En este trabajo se desarrolla un sistema de recomendación conversacional basado en inteligencia artificial, orientado a facilitar y acelerar la colaboración entre los socios de un clúster tecnológico especializado en DeepTech. El creciente número de miembros y la diversidad de perfiles hacen que la identificación de nuevas oportunidades de colaboración requiera un esfuerzo considerable, lo que limita la colaboración entre socios. El sistema propuesto permite generar recomendaciones personalizadas tanto a partir del perfil de un socio existente como mediante descripciones en lenguaje natural. Esta flexibilidad permite abordar distintos casos de uso, que van desde proyectos de innovación tecnológica hasta conexiones …

Validación Y Detección De Imágenes Generadas Por Inteligencia Artificial, Miguel Ángel Montero González

Máster en Inteligencia Artificial

La inteligencia artificial ha creado una revolución en la creación de imágenes. Hoy por hoy, sus modelos son capaces de generar contenido visual con mucho realismo cosa que hasta hace poco era completamente impensable. La IA generativa nos da oportunidades sin precedentes en campos como el arte, el entretenimiento, la investigación o la medicina. Aunque se cuenta con estos beneficios, la IA generativa no viene sin sus amenazas, principalmente por la aparición de los deepfakes y medios sintéticos de carácter malicioso que son usados para la desinformación, manipulación de la política y vulneración de la identidad personal entre otras acciones. …

Third Party Negotiated Hospital Pricing In Rural And Urban Hospitals Within 12 U.S. States, Lindsey R. Hammerslag, Aaron P. Smith, Jeffrey C. Talbert

Rural & Underserved Health Research Center Publications

No abstract provided.

Nils And Blockchains: The Good, The Bad And Avoiding The Ugly (With Comments By Nick Nugent And John Spellman), Joan Macleod Heminway

Transactions: The Tennessee Journal of Business Law

No abstract provided.

Trader Beware: The Expanding Scope Of Insider Trading Liability, And How Tennessee Corporations Can Prepare (With Comment By Zachary Schmidt), John P. Anderson

Transactions: The Tennessee Journal of Business Law

No abstract provided.

International Construction Products Llc V. Catepillar Inc., Et. Al., Conner Mitchell

Transactions: The Tennessee Journal of Business Law

No abstract provided.

Front Matter

Transactions: The Tennessee Journal of Business Law

No abstract provided.

Conservation Easements: An Advantageous Tool For Local Governments As East Tennessee Continues To Grow And Develop, Jacob Manning, Blythe Faris, Cliff Robbins

Transactions: The Tennessee Journal of Business Law

No abstract provided.

Default Rule Design In Private Ordering, Paul Henken

Transactions: The Tennessee Journal of Business Law

No abstract provided.

The Time Has Come To Federalize A Post-Mortem Right Of Publicity: They Are Bringing Actors Back From The Dead, Jaiden Frantz

Transactions: The Tennessee Journal of Business Law

No abstract provided.

A Flawed Standard: Rethinking Tennessee's Approach To Tortious Interference With Prospective Economic Relations, Jacob King

Transactions: The Tennessee Journal of Business Law

No abstract provided.

Effective Approaches To The Dynamical Properties Of Two Distinguishable Bose Polarons, F. Theel, S. I. Mistakidis, P. Schmelcher

Physics Faculty Research & Creative Works

We explore effective approaches for describing the dynamics of induced interactions among two noninteracting distinguishable impurities (Bose polarons) when their couplings to the host species are switched on. First, we evaluate the time-dependent characteristics of each polaron through reduced single-particle models. Their validity is ultimately judged by comparing them to observables obtained within a many-body variational approach. We argue that utilizing a time-dependent optimization process with the effective mass and frequency being fitting parameters leads to an accurate matching on the level of one-body observables with the prediction of the many-body method. Next, we construct two-body effective models, which, in …

Gamification And Geography Education: A Survey And Typology Of Games, Ruth Ohaka

Graduate Research Papers

Gamification in education transforms traditional, non-gaming contexts (i.e., classrooms) by incorporating challenges and scenarios with their own rules, stories, and stakes. In geography education, teachers have sought ways to gamify the classroom, develop students’ spatial reasoning, and develop place-based capabilities for critical thinking and problem-solving, making complex geographical and environmental concepts more relatable and accessible to the students. Regardless of the documented achievements with gamification, such as more engagement, deeper understanding, and increased motivation, there remains a lack of a comprehensive typology of games used within geography education. This paper aims to develop a typology of games used in education …

The Effects Of The Image Attributes Of Golf Star Athletes Supported By Adult Amateur Golfers On Sports Participation Desire And Continuation Intention, Ji-Hye Yang, Ga Young Kim, Hye Jin Yang, Chulhwan Choi, Chul-Ho Bum

Human Movement Studies & Special Education Faculty Publications

The image attributes of sports star athletes demonstrate positive effects on sports fans' psychological factors. In the context of golf, fans are also influenced by the players they support, experiencing a range of emotions. Therefore, this study aimed to examine the effects of the image attributes of golf star athletes—supported by adult amateur golfers—on the desire for sports participation and the intention to continue. This study involved 356 adult amateur golfers in Korea (253 male, 103 female). Questionnaires were used to measure participants' perceptions of image attributes, their desire for sports participation, and their intention to continue participating in the …

A Study Of Differences In Enjoyment, Exercise Commitment, And Intention To Continue Participation Among Age Groups Of Adult Amateur Golfers, Hye Jin Yang, Ji-Hye Yang, Chulhwan Choi, Chul-Ho Bum

Human Movement Studies & Special Education Faculty Publications

Golf is one of the leisure sports that offers various benefits and has become a popular public sport with participation from people of various age groups. A total of 262 questionnaires were distributed online, with 240 valid responses collected after excluding 22 with non-responses or partial answers. The results showed statistically significant differences in enjoyment by age group, except for recognition from others. Regarding physical health, those in their 60s and above had higher mean scores than other age groups, and those in their 50s scored higher than those in their 30s. Stress relief was greater among those in their …

The Virginia Consortium For Teacher Preparation In Blindness And Vision Impairment: Program Overview And Structure, Kimberly Avila, Justin A. Haegele, Annemarie L. Horn, Katelyn Makovec

Human Movement Studies & Special Education Faculty Publications

The Virginia Consortium for Teacher Preparation in Blindness and Vision Impairment (VI Consortium) is a collaborative personnel preparation program consisting of George Mason University (Mason), Old Dominion University (ODU), and Radford University (RU). Funded by a grant from the Virginia Department of Education (VDOE), the VI Consortium trains teachers to work with students who are blind and visually impaired as teachers of students with visual impairments (TSVIs) across the Commonwealth of Virginia. Each of our partner universities recruits, advises, enrolls, and confers degrees for teacher candidates. Mason serves as the primary institution, coordinating grants, awarding sub-contracts, developing and leading courses, …

A Comparative Analysis Of Stress Relief, Life Satisfaction, And Quality Of Life Based On Marriage Status And Gender Among Members Of Society Participating In Exercise, Ji-Hye Yang, Sicheol Jung, Hyejin Yang, Chulhwan Choi, Chul-Ho Bum

Human Movement Studies & Special Education Faculty Publications

Modern members of society tend to feel stressed in their workplace and at home, but exercising has been shown to effectively reduce stress and increase quality of life and satisfaction. This study aimed to investigate and compare stress relief, life satisfaction, and quality of life based on marriage status and gender among members of society who participate in exercise. We used a questionnaire survey with 311 participants, and the data were analyzed using descriptive statistics, validity and reliability, a multivariate analysis of variance (MANOVA), and a post hoc analysis. The study results showed that the single groups demonstrated higher mean …

Our Methodology For Case-Based Learning And Strategies For Reader Engagement, Wesley J. Wilson, Paul H. Warner, Justin A. Haegele

Human Movement Studies & Special Education Faculty Publications

In this chapter, we discuss in detail our application of case-based learning to this edited book. We take time to highlight some important differences in our approach in contrast to traditional case-based learning principles and resources and lay out our procedures for considering the content, format, and editing of this collection of stories. We also delve into our own reflexivity and positions of power as we consider our roles as editors in this project. Finally, we discuss tips for engaging with this book, while providing some general reflective questions for readers to consider while reviewing the authors’ stories about physical …

Case-Based Learning And The Physical Education Of Disabled Students, Wesley J. Wilson, Paul H. Warner, Justin A. Haegele

Human Movement Studies & Special Education Faculty Publications

In this chapter, the editors provide background information about the case-based learning approach as it relates to preparing preservice physical educators, adapted physical educators, and special educators to work with disabled students. We also begin to frame the importance of elevating the voices and lived experiences of disabled students as they make meaning of and decide what is important in physical education. We conclude with an overview of the remaining chapters to better orient the reader to this edited text.

Examining The Socioemotional Outcomes Of Social Justice Efforts On Social Media Users: Evidence From The Nfl's Inspire Change Initiatives, Yoseph Z. Mamo, Justin Haegele, Christos Anagnostopoulos, Kwame Agyemang

Human Movement Studies & Special Education Faculty Publications

Despite the growing interest in social justice activities, there is a lack of empirical evidence regarding their impact on various stakeholders, particularly social media users. We gathered longitudinal data from the NFL's @inspirechange X (former Twitter) account, a designated social justice communication handle, between August 2019 and March 2023. During this timeframe, the account garnered 20,967 comments (including original tweets and retweets) from 11,481 distinct users, but our analysis focused on 5851 comments deemed usable from 3632 unique users. Drawing on the social exchange theory, sentiment analysis, and thematic analysis, this study examines social media users' sentiments toward the NFL's …

Meeting The Needs Of English Learners With And Without Disabilities: A Team Approach To Intervention, Silvana M. R. Watson, Tara Donahue

Human Movement Studies & Special Education Faculty Publications

Educating English learners (ELs) in inclusive classrooms requires a team of educators with diverse expertise and knowledge in culturally and linguistically responsive assessment and instruction. To address the unique needs of ELs, we offered three graduate-level courses to the educators over a 9-month period. Teams of three to five educators from various schools were encouraged to apply. This group included administrators, general, and special education teachers, among others. The purpose of this study was threefold: (1) to expand research on professional development for in-service elementary educators working with ELs in elementary schools; (2) to investigate whether the 9-month team approach …

Extending A Pretrained Language Model (Bert) Using An Ontological Perspective To Classify Students' Scientific Expertise Level From Written Responses, Heqiao Wang, Kevin C. Haudek, Amanda D. Manzanares, Chelsie L. Romulo, Emily A. Royse, Caterina B. Azzarello

Human Movement Studies & Special Education Faculty Publications

The complex and interdisciplinary nature of scientific concepts presents formidable challenges for students in developing their knowledge-in-use skills. The utilization of computerized analysis for evaluating students' contextualized constructed responses offers a potential avenue for educators to develop personalized and scalable interventions, thus supporting the current teaching and learning of science. While prior research in artificial intelligence has demonstrated the effectiveness of algorithms, including Bidirectional Encoder Representations from Transformers (BERT), in tasks like automated classifications of constructed responses, these efforts have predominantly leaned towards text-level features, often overlooking the exploration of conceptual ideas embedded in students' responses from a cognitive perspective. …