Digital Commons Network^™

A Comparison Of Shear Bond Strength Of Denture Teeth To Denture Base Using Different Means Of Retention: An In Vitro Pilot Study, Dima Taha El Baba, Paul Boulos

International Arab Journal of Dentistry

Objectives: The objective of this work is to evaluate the shear bond strength between denture base resin and three different acrylic artificial denture teeth. The latter was subjected to three different surface modifications on the ridge lap area and compared to unmodified acrylic artificial denture teeth.

Methods: In this experimental in vitro study, twenty-four maxillary central incisor acrylic teeth were used from each of three manufacturers; namely Major®, Ivoclar® and Myerson®. The teeth were additionally divided into four test groups with six specimens in each: a control group, a chemical retention group, a mechanical retention group, and a …

Moving Forward With Maboo Liyan Boorroo: River Monitoring And Communicating Heritage And River Keeper Stories: Research Workshop Iii Summary Report, Anne Poelina, Tod Jones, Martin Brueckner, Pierre Horwitz, Sven Ouzman, Kylie Wrigley, Community Research Practioners - Martuwarra River Keepers

Reports accepted as research outputs

This Report provides a summary of activities and outcomes from the Maboo Liyan Boorroo Workshop III, held in June 2025. Three community Workshops have been held, involving an external multi-disciplinary and multi-institutional research team (the research team) visiting and working with the Yurmulun Pandanus Park Community and the Martuwarra Fitzroy River Council River Keepers. This visit followed two workshops with the community held in November 2021 (see Voices for the Martuwarra: Mapping Values with Fitzroy River Communities, 2021) and August 2022 (see Working together for Maboo Liyan Boorroo, 2022). This summary report provides detail on Workshop III discussions, activities and …

فعالية برنامج رياضي لتنمية المهارات الاجتماعية لدى الصم, Nashwan Abdullah Nashwan, Hani Sulaiman Alkhaledi, Ayat J. Nashwan

Journal of the Association of Arab Universities for Research in Higher Education مجلة اتحاد الجامعات العربية للبحوث في التعليم العالي

هدفت الدراسة إلى الكشف عن فعالية برنامج رياضي لتنمية المهارات الاجتماعية لدى الصم، وقد تألف مجتمع الدراسة من (60) أصماً في محافظة الزرقاء، وتكونت عينة الدراسة من (20) أصماً من طلبة الصف التاسع الأساسي ضمن الفئة العمرية 14 عاماً، وتم اختيار عينة الدراسة بطريقة عشوائية تم تقسيمها الى مجموعة تجريبية تتكون من عشرة أصماء، وأخرى ضابطة تتكون من عشرة أصماء، واستخدم الباحثون المنهج شبه التجريبي، وتم تصميم مقياس المهارات الاجتماعية لدى الصم، وحصل المقياس على درجات جيدة من الصدق والثبات، وأظهرت النتائج بعد تطبيق البرنامج فعالية البرنامج لتنمية المهارات الاجتماعية لدى الصم، وتم تقديم عدد من المقترحات لمساعدة هذه الفئة …

مستوى الإبداع الحركي لدى طلبة مساقات ألعاب القوى في كليات التربية الرياضية بجامعتي اليرموك والهاشمية, Amal Suleiman Saleh Alzoubi

Journal of the Association of Arab Universities for Research in Higher Education مجلة اتحاد الجامعات العربية للبحوث في التعليم العالي

هدف المقال التعرف إلى مستوى الإبداع الحركي لدى طلبة مساقات ألعاب القوى في كليات التربية الرياضية بجامعتي اليرموك والهاشمية، وكذلك معرفة الفروق الدالة الإحصائياً في مستوى الإبداع بين الطلبة بناءً على متغيري الجامعة والجنس. تكونت عينة الدراسة من (146) طالباً وطالبة، منهم 78 من جامعة اليرموك و68 من الجامعة الهاشمية، إذ بلغ عدد الذكور 91 والإناث 55 تم اختيارهم بالطريقة العمدية. اعتمدت الباحثة على المنهج المسحي لملاءمته وطبيعة الدراسة، واستخدمت الاستبانة كأداة لجمع البيانات، ولتحليل البيانات، تم استخدام برنامج التحليل الإحصائي (SPSS) لاستخراج المتوسطات الحسابية والانحراف المعياري واختبار (T-test) للفروق، أظهرت النتائج أن مستوى الإبداع لدى أفراد عينة الدراسة جاء …

Matrescence, Erin Kunz

The Cicadian

Kunz reflects on her transformation into motherhood, describing the physical, emotional, and psychological shifts that accompany the process known as matrescence. Through vivid memories of childhood and early parenting, she explores the complexities of maternal love, especially for women who did not receive unconditional love themselves. Her rocking chair becomes a symbol of nurturing and endurance, where she gave everything to her children while grappling with her own identity. Erin also highlights the supportive role of her partner, challenging traditional gender norms and celebrating shared caregiving. As her children grow, she mourns the environmental changes that have altered the …

Flowing Knowledge: Connecting Education, Watersheds, And Our World, Taylor Lemieux

The Cicadian

The main theme of Taylor Lemieux’s story is the transformative power of experiential environmental education. Through personal memories and professional experiences, she illustrates how hands-on learning in nature fosters curiosity, resilience, and a deep sense of stewardship. Her journey emphasizes that meaningful education goes beyond textbooks—it connects learners to the world around them.

Herrin, William Oral History Interview, William Herrin, Gene Pearson

Emeriti Society Oral History Collection

William Herrin (1985-2023) Professor of Economics. Chair of Department of Economics, School of International Studies Director, teaching in Economics Department and School of International Studies, Fulbright research and teaching in Uganda, Long Teaching and Innovation Scholarship, teaching microeconomics, macroeconomics, econometrics and mathematical economics, working for Federal Housing Finance Agency, student life and service.

Geographic Disparities In Birth Outcomes: County-Level Investigation On Pm2.5 And Low Birth Weight In The United States, Eunice Y. Park, Ranju Mainali

Department of Public Health Scholarship and Creative Works

Exposure to air pollution adversely affects health and is highly associated with birth outcomes. This study analyzes the relationship between air pollution and low birth weight (LBW; less than 2,500 g at birth) at the county level in the United States. Using the latest publicly available data from the County Health Rankings and Roadmaps across 3,027 counties and equivalents, simple and quantile regression analyses were conducted to test the association between the average daily density of fine particulate matter (PM2.5) and LBW. The LBW data were from 2016 to 2022 from the National Center for Health Statistics and PM2.5 data …

Intelligence Architectures And Machine Learning Applications In Contemporary Spine Care, Rahul Kumar, Conor Dougherty, Kyle Sporn, Akshay Khanna, Puja Ravi, Pranay Prabhakar, Nasif Zaman

SKMC Student Presentations and Publications

The rapid evolution of artificial intelligence (AI) and machine learning (ML) technologies has initiated a paradigm shift in contemporary spine care. This narrative review synthesizes advances across imaging-based diagnostics, surgical planning, genomic risk stratification, and post-operative outcome prediction. We critically assess high-performing AI tools, such as convolutional neural networks for vertebral fracture detection, robotic guidance platforms like Mazor X and ExcelsiusGPS, and deep learning-based morphometric analysis systems. In parallel, we examine the emergence of ambient clinical intelligence and precision pharmacogenomics as enablers of personalized spine care. Notably, genome-wide association studies (GWAS) and polygenic risk scores are enabling a shift from …

Underwater Acoustic Integrated Sensing And Communication: A Spatio-Temporal Freshness For Intelligent Resource Prioritization, Ananya Hazarika, Mehdi Rahmati

Electrical and Computer Engineering Faculty Publications

Underwater acoustic communication faces significant challenges including limited bandwidth, high propagation delays, severe multipath fading, and stringent energy constraints. While integrated sensing and communication (ISAC) has shown promise in radio frequency systems, its adaptation to underwater environments remains challenging due to the unique acoustic channel characteristics and the inadequacy of traditional delay-based performance metrics that fail to capture the spatio-temporal value of information in dynamic underwater scenarios. This paper presents a comprehensive underwater ISAC framework centered on a novel Spatio-Temporal Information-Theoretic Freshness metric that fundamentally transforms resource allocation from delay minimization to value maximization. Unlike conventional approaches that treat all …

Exploration Of How Study District-Wide Stakeholders Achieved Reading Success For Students With Disabilities, Kisha Hairston

Walden Dissertations and Doctoral Studies

The problem that this study addressed is that students with disabilities (SWDs) demonstrated low reading achievement in U.S. public schools as shown by annual state standardized scores. The study district achieved the anomaly of more than 50% of SWDs achieving Proficient and Advanced on the state reading assessment. The gap in practice was that it was unknown how the study district stakeholders achieved such success in SWDs’ reading achievement. The purpose of this basic qualitative study was to investigate how archival data supports and how teachers and administrators explain the successful reading achievement of SWDs in the study school district. …

Creating Sustainable School And Home Gardens: Using Citizen Science, Kaitlin U. Campbell, Rita Hagevik, Kathy Cabe Trundle

All Current Publications

Citizen science, also called community-based science or participatory science, provides a way for anyone to gather data, along with scientists, around a scientific question or phenomenon. Citizen science offers immense value to both the general public and scientists. This fact sheet provides resources to connect readers to citizen science projects.

Energy Efficiency Support For Software Defined Networks: A Serverless Computing Approach, Vasilios Kelefouras

School of Engineering, Computing and Mathematics

Automatic network management strategies have become paramount for meeting the needs of innovative real-time and data-intensive applications, such as those in the Internet of Things. However, the ever-growing and fluctuating demands for data and services in such applications require more than ever an efficient, scalable, and energy-aware network resource management. To address these challenges, this paper introduces a novel approach that leverages a modular architecture based on serverless functions within an energy-aware environment. By deploying SDN services as Functions as a Service (FaaS), the proposed approach enables dynamic, on-demand network function deployment, achieving significant cost and energy savings through fine-grained …

Multiply Differential Study Of Detachment With Simultaneous Target Excitation In Anion-Atom Collisions, M. Schulz, F. Herrmann, W. Zhang, D. V. Chicharro, A. Dorn, M. Grieser, F. Grussie, H. Kreckel, O. Novotny, F. Trost, A. Wolf, T. Pfeifer, C. D. Schröter

Physics Faculty Research & Creative Works

We have measured momenta of electrons and recoil ions in triple coincidence with neutralized projectiles for slow collisions between various anions and target atoms. From the data we extracted triple differential momentum and angular distributions of electrons ejected in detachment, in detachment with simultaneous target ionization (DI), and in detachment with simultaneous target excitation (DE). The DI rates relative to the DE rates depend sensitively on the projectile speed and on the properties of the target.

Impact Of Black Shale Weathering On Stream Water And Sediment Quality In Eastern Kentucky, Brett Hopt

Dissertations and Theses

Black shales contain high concentrations of trace elements in addition to their elevated organic carbon content. Once exposed at the surface, weathering processes release these elements into the environment, including many (e.g., As, Cu, Cd, Cr, U, Zn) that could pose threats to human and environmental health. Previous studies have focused on how these metals are incorporated into the soil column and their effects on crop nutrition. However, few studies have focused on the impact of natural weathering of black shales on local stream water chemistry and the transport and subsequent partitioning of these geogenic contaminants into stream environments.

This …

Hmongcentric Niche Charter Schools: The Role Of Social Capital On Students’ Perceived Academic Competence, Zha Blong Xiong, Ting Xu, Kyle Nickodem, Malina Her

Journal of Southeast Asian American Education and Advancement

Using Coleman’s (1988) social capital theory, this study investigated the connection between family and school social capital and the perceived academic competence of students enrolled in Hmongcentric niche charter schools. The study analyzed 124 participants consisting of third, fourth, and fifth-grade students residing in Minnesota, with 93% identifying as Hmong. Results of structural equation modeling showed that school social capital, as measured by school attachment and school connection, is significantly linked to students’ perceived academic competence. Further analyses suggested that school attachment, especially in charter schools that focus on culture and language, plays a more crucial role in shaping students’ …

What Was I Made For?, Maythazin Minthu

Ovid

No abstract provided.

Awareness And Perception Of Artificial Intelligence In Counselling Practice Among Counsellors-In-Training, Margaret Kehinde Soetan, Ayorinde Emola Akinnusi

Buletin Konseling Inovatif

This study investigated awareness and perception of artificial intelligence in counselling practice among counsellors-in-training. Descriptive survey research design was adopted for this study. The population consisted of all counsellors-in-training (CITs) in Adeyemi Federal University of Education, Ondo. Two hundred (200) counsellors-in-training were randomly selected from Degree three (3) and four (4) as sample for the study. Structured questionnaire was used as instrument to collect data for the study. It was validated by experts in Test and Measurement. Reliability of the instrument was ascertained by using Cronbach’s Alpha statistics mean which yielded a coefficient of 0.83. Data collected was analysed by …

The Impact Of Public Relations Strategies On The Effectiveness Of Epidemic Management In Jordan: A Case Study Of Covid-19, Hazem Jamil Al-Rahahleh

Middle East Journal of Communication Studies

This study aimed to explore the impact of public relations strategies on the effectiveness of epidemic management in Jordan, using the COVID-19 pandemic as a case study. The study employed the descriptive-analytical method, which is based on the systematic description and interpretation of social and media phenomena. The findings revealed that public relations play a pivotal strategic role in managing health crises by building public trust, preparing communication plans, and formulating awareness messages in coordination with relevant authorities. The study recommended the need to enhance the training of public relations personnel in managing communication during health crises, to continue diversifying …

A Polar Turbulence Invariant Map With Applicability To Realisable Machine Learning Turbulence Models, James G. Wnek, Christopher Schrock, Eric M. Wolf, Mitch Wolff

Mechanical and Materials Engineering Faculty Publications

Invariant maps are a useful tool for turbulence modelling, and the rapid growth of machine learning-based turbulence modelling research has led to renewed interest in them. They allow different turbulent states to be visualised in an interpretable manner and provide a mathematical framework to analyse or enforce realisability. Current invariant maps, however, are limited in machine learning models by the need for costly coordinate transformations and eigendecomposition at each point in the flow field. This paper introduces a new polar invariant map based on an angle that parametrises the relationship of the principal anisotropic stresses, and a scalar that describes …

High Energy Consumption Characterizes Abnormal Brain State Transitions In Temporal Lobe Epilepsy, Sam S. Javidi, Qirui Zhang, Ankeeta Ankeeta, Michael R. Sperling, Joseph I. Tracy

Farber Institute for Neuroscience Faculty Papers

Temporal lobe epilepsy (TLE) patients experience shifts between non-seizing and seizing brain states, but the structural networks underlying these transitions remain undefined and poorly characterized. We detected dynamic brain states in resting-state fMRI and constructed linked structural networks utilizing multi-shell diffusion-weighted MR data. Leveraging network control theory, we interrogated the structural data for all possible brain state transitions, identifying those requiring abnormal levels of transition energy (low or high) in TLE compared to matched healthy participants (n's = 25). Results revealed three transitions requiring significantly higher energy in TLE; no abnormally low-energy transitions were observed. In HPs, transitions relied on …

Data From: Nek4 Suppresses Cell Proliferation In Bt20 Triple-Negative Breast Cancer Cells By Diminishing Expression Of Cell Cycle Genes, While Its Depletion Mitigates Proliferation In Other Cell Lines, Amanda Ashley

Chemistry & Biochemistry: Datasets

No abstract provided.

Bridging Domains: Advances In Explainable, Automated, And Privacy-Preserving Ai For Computer Science And Cybersecurity, Youssef Harrath, Oswald Adohinzin, Jihene Kaabi Dr., Morgan Saathoff

Research & Publications

Artificial intelligence (AI) is rapidly redefining both computer science and cybersecurity by enabling more intelligent, scalable, and privacy-conscious systems. While most prior surveys treat these fields in isolation, this paper provides a unified review of 256 peer reviewed publications to bridge that gap. We examine how emerging AI paradigms, such as explainable AI (XAI), AI-augmented software development, and federated learning, are shaping technological progress across both domains. In computer science, AI is increasingly embedded throughout the software development lifecycle to boost productivity, improve testing reliability, and automate decision making. In cybersecurity, AI drives advances in real-time threat detection and adaptive …

An Experiment In Electron Paramagnetic Resonance Spectroscopy For Undergraduate Labs In Physical Chemistry Or Physical Biochemistry, Evan A. Old, Matthew C. Rehak, Jefferson C. Thompson, Herbert J. Sipe Jr.

TeachEPR Submissions

We report a biochemically based EPR experiment for undergraduate laboratories that will serve as instruction for learning EPR sample preparation, spectral observation, and spectral analysis. There is a current lack of EPR instructional experiments that present complex spectra in which computational analysis may be required. The biochemical oxidation system of horse radish peroxidase (HRP) activated by H₂O₂ acts on 2,6-di-t-butyl-4-hydroxyanisole (DTBHA) to form phenoxyl radicals. This experiment produces moderately complex spectra of moderately long-lived radicals using relatively small amounts of readily available reactants. Spectrum analysis and simulation is accomplished using software freely available on-line. If desired, EPR …

Experiential Learning: Innovative Approaches To Post-Secondary Cybersecurity Education, Brendan Bertone, Paul Wagner, Joshua Pauli

Journal of Cybersecurity Education, Research and Practice

The cybersecurity profession continues to face a significant shortfall of qualified professionals despite steady growth in degree programs. Employers consistently cite experience as the main barrier for entry-level cybersecurity hires. This paper argues that clinic-based experiential learning offers a scalable solution to that preparation gap. A systematic literature review spanning academic and professional literature was conducted to examine: (1) barriers to entry for aspiring cybersecurity professionals; (2) the effectiveness of experiential learning compared to traditional instruction; and (3) the viability and scalability of cybersecurity clinics. Screening emphasized workforce development, experiential pedagogy, and alignment with the NICE Cybersecurity Workforce Framework. Findings …

Edce 32204_How Children Learn Math_Syllabus, Colleen O. Oppenzato

Open Educational Resources

This course described by this syllabus will focus on the mathematical development and growth of children from birth through Grade 2, with an emphasis on preschool, kindergarten, Grade 1, and Grade 2.

The Hierarchical Construction Of A Universal Qualitative Belief Space, Satoshi Fukuda

Economics

This paper constructs a canonical representation of players’ belief hierarchies—players’ beliefs over some exogenously given values such as their action profiles or payoff functions, their beliefs about their beliefs about exogenously given values, and so on ad infinitum—in the context of non-probabilistic beliefs, including knowledge. This paper demonstrates that the idea that any “possible” belief hierarchy of a player can be captured as the player’s type holds true regardless of whether players’ beliefs are probabilistic or qualitative. Formally, the first main result is to construct a universal qualitative belief space as the set of players’ belief hierarchies that can be …

Analyzing The Role Of A Dual-Function Diguanylate Cyclase / Phosphodiesterase For Attachment And Motility In Agrobacterium Tumefaciens, Priya Aryal

Theses and Dissertations

Cyclic diguanylate monophosphate (c-di-GMP) is a second messenger that is responsible for attachment and motility in many prokaryotic systems and controls the signaling pathway for the motile to sessile transition in many bacteria. Many c-di-GMP-metabolizing proteins are diguanylate cyclases (DGCs), responsible for the synthesis of c-di-GMP and characterized by a c-di-GMP synthesizing domain, e.g., GGDEF domain. Other c-di-GMP-metabolizing proteins contain c-di-GMP degradative domains, e.g., EAL, characterized by phosphodiesterase activity (PDE). In Agrobacterium tumefaciens, out of 31 predicted proteins regulating the c-di-GMP level, this project focuses on the predicted dual-function DGC/PDE, DcpB. We hypothesized that DcpB plays a role in the …

09.08.2025 Ored Connect, Liz Williamson

ORED Newsletter

• Researcher training opportunities
• Project to increase PhD student success
• ORED online training opportunities

Detecting Electrical Submersible Pump (Esp) Failures And Estimating Run Life Using Artificial Neural Networks, Mostafa Ahmed Sobhy

Theses and Dissertations

Electric Submersible Pumps (ESPs) are one of the important artificial lift methods for sustaining production in mature and high-water-cut wells; but may suffer frequent failures due to mechanical, electrical, hydraulic, chemical, and operational failures. These failures can yield substantial deferred production and intervention costs. Plenty of ESP installations are fitted with downhole sensors. Yet, it is observed that the current industry practice underutilizes the wealth of available sensor and operational data and lacks standardized, explainable failure-type identification and classification.

In this thesis, a comprehensive Machine Learning (ML) and Deep Learning (DL) framework was introduced for ESPs that simultaneously estimates remaining …