Digital Commons Network^™

A Scholarly Exploration Of Teaching Strategies For Learning About Pediatric Sleep, Laura J. Carpenter, Amanda M. Buono

Journal of Occupational Therapy Education

The occupation of sleep is an area of occupational therapy practice for which many practitioners report a lack of confidence and/or knowledge to properly address. The current study addresses this concern by studying the effects of a learning module on students’ confidence and knowledge to address pediatric sleep. The study used a pre-test, post-test non-experimental design and collected survey responses from 48 entry-level occupational therapy students in three different programs. The lecture portion of the module included content about both assessing and intervening, while the case study emphasized intervention-planning only. Results indicated significant gains in knowledge overall (z = …

The Role Of Department Chairs In Supporting Student Learning Outcomes, Tommy C. Molden Jr

Dissertations

The purpose of this qualitative study was to examine high school department chairs’ perceptions of their role in relation to teacher leadership in achieving student learning outcomes.  The study adds significant implications for department chair training in the context of teacher leadership and the achievement of student learning outcomes.  Further, the study extends the literature on the importance of department chairs’ perceptions of their proficiency for adapting to and institutionalizing the role as teacher leader to increase student achievement.  Additionally, the study identified training strategies and resources that enhance department chair competence in teacher leadership for student achievement of learning …

Study Approaches And Mindset In Predicting Entry-Level Occupational Therapy Student Well-Being: A Multiple Linear Regression Analysis, Elena Wong Espiritu, Katie Eison, Maya Pakulski, Alandry Vise, Alexandria West, Ava Woessner

Journal of Occupational Therapy Education

Academic factors (grades, assignments, study approaches, study strategies, rigorous curriculums, workload) and mindset factors (academic resilience, educational self-efficacy) are known individual factors that impact student well-being. However, if and how these factors in combination predict well-being in occupational therapy students has not been explored. The purpose of this study was to explore study approaches and mindset factors in predicting entry-level occupational therapy student well-being. Entry-level occupational therapy students (master’s and doctorate) from across the United States were recruited (N = 305). Using a quantitative cross-sectional design, data was collected using four standardized assessments and analyzed using a multiple linear regression. …

Expanding Astrobiology: The Case For A Lunar Biorepository, Mary Hagedorn, Lynne R. Parenti, Robert A. Craddock, Pierre Comizzoli, Paula Mabee, Bonnie Meinke, Susan Wolf, John C. Bischof, Rebecca D. Sandlin, Shannon N. Tessier, Mahmet Toner, Baptiste Journaux, Robert Ambrose, Garret Fitzpatrick

Articles

Earth’s resources are essential to support an expanding presence beyond the planet. Yet global conflicts, environmental change, and natural disasters threaten ecosystems and biodiversity, putting the integrity of Earth’s ecosystems and its resources at risk. These converging challenges underscore the urgency to develop innovative strategies to conserve Earth’s biodiversity. Astrobiology—seeking to understand life’s origins, limits, and potential beyond Earth—plays a central role in this effort, helping to preserve Earth’s species while also providing critical assets to explore and work in space. A Lunar Biorepository was proposed to hold cryopreserved samples from among the most critical species on Earth. Here, we …

Machine Learning: Thematic Feature Grouping, And The Magnificent Seven: A Forecasting Analysis, Mirarmia Jalali, Mohammad Najand, Andrew Cohen

Finance Faculty Publications

This study examines the predictability of monthly excess returns for the “Magnificent Seven” U.S. technology firms using machine learning and economically motivated thematic feature grouping. Framed as a focused study of the most systemically consequential equity panel in modern markets—seven firms representing over 30% of the S&P 500—the analysis confronts a small-N, large-P environment where economically structured dimensionality reduction is essential. Using 154 firm-level characteristics categorized into 13 economic themes, we evaluate linear, penalized, tree-based, and neural network models in a small-N, large-P setting. Unrestricted models suffer substantial overfitting and fail to outperform the historical average benchmark out-of-sample. In contrast, …

Natural Resource Rents And Energy Poverty Nexus In Next Eleven Economies, Muhammad Salah Uddin, Ayub Ali, Zobayer Ahmed, Md Nasir Uddin Sikdar, Ahsan Habib, Abdullah Elah Al-Mahde

Finance Faculty Publications

Energy poverty (EP) remains a persistent global challenge with important implications for economic development, public health, and social welfare. While natural resources, particularly oil and gas, are often viewed as key sources of energy access, their effectiveness in mitigating EP remains underexplored in emerging economies. This study examines the relationship between natural resource rents (NRR), specifically oil rents (OR) and natural gas rents (NGR), and energy poverty (EP) in the Next Eleven (N-11) countries from 2000 to 2020. The primary objective is to assess how NRR influences EP at various levels of poverty using the Method of Moments Quantile Regression …

The Molecular Effects Of Microwave Irradiation Upon Antibiotic-Resistant Bacterial Pathogens, Alistair White

Peninsula Dental School Theses

IntroductionAntimicrobial resistance is a global health crisis due to the emergence and spread of multidrug-resistant bacteria, driven by poor antibiotic stewardship, particularly in low to middle income countries where antibiotics can be bought over the counter. Currently, the molecular diagnosis of infections and genomic DNA extraction are both hindered by several factors including, expense, time, technical expertise, and the requirement of a laboratory-based setting. This makes it difficult to extract genomic material at point-of-care preventing the use of rapid molecular methods for the detection of antibiotic resistant genes. Thus, the gold standard for determining the appropriate antibiotics to treat infections …

Design, Synthesis, And Characterization Of Phosphonate-Functionalized Diimide Ligands For Metal-Organic Framework Construction, Kenya Rosas, Jonathan Uribe

Posters - 2026

• Metal–organic frameworks (MOFs) are solid, porous materials composed of metalions reacted with organic linkers

• MOFs are customizable through variations in their metal ions, organic linkers, and the functional groups of the organic linker all yielding a structure with different properties

• MOFs have a variety of applications, ranging from storage and catalysis to drug delivery

• The synthesis and characterization of four phosphonate-based diimide ligands:
  • N,N´-bis(phosphonomethyl)-pyromellitimide (PPMI).
  • N,N´-bis(phosphonobenzyl)-pyromellitimide (PPMI-Ph).
  • N,N´-bis(phosphonomethyl)-3,3′,4,4′-biphenylenediimide (PBDI).
  • N,N´-bis(phosphonobenzyl)-3,3′,4,4′-biphenylenediimide (PBDI-Ph).

• These ligands were then coordinated with zinc or copper metal ions to make MOFs.

Stability Of Brown Carbon And Lipid Monolayers At The Air-Water Interface, Maaike Snider

Student Scholarship

No abstract provided.

Developing A Serious Game-Based Platform To Support Programming Learning, Noven Indra Prasetya, Nia Saurina, Arief Ardiansyah

Journal of Educational Technology Development and Exchange (JETDE)

Programming learning, especially among informatics students, faces significant challenges related to understanding concepts and syntax, as well as low engagement in programming courses. To address these issues, this research developed DolananCoding, a serious game-based learning platform specifically designed for C++ programming learning. The platform integrates a live coding feature, enabling students to write code directly, along with a leaderboard to motivate them through healthy competition. The immersive concept in DolananCoding is designed to provide an interactive and enjoyable learning experience, aiming to enhance students’ engagement, motivation, and learning outcomes in C++ programming. This research aims to test the effectiveness of …

Large Language Model-Based Automated Item Generation In Stem Assessments: Historical Mapping And A Scoping Review Of Empirical Studies, Moses Oluoke Omopekunola

Journal of Educational Technology Development and Exchange (JETDE)

Educational assessments, from low-stakes classroom tests to high-stakes national examinations, require item pools that are valid, fair, and secure. Automated Item Generation (AIG) aims to efficiently produce large pools of calibrated test items. This paper adopts a two-part design: (1) a brief historical mapping situating LLM-based AIG within the broader AIG trajectory; and (2) a scoping review of empirical studies on LLM-based AIG for STEM assessments, published between January 2022 and January 2026. A structured search of ERIC, Lens and OpenAlex yielded 1,267 records; after deduplication and screening, 7 studies were retained for synthesis. In all studies, LLMs were primarily …

Digital Transformation And Artificial Intelligence In Education In Vietnam: A Bibliometric And Systematic Review, Minh-Anh Thi Nguyen, Van-Quynh Ha

Journal of Educational Technology Development and Exchange (JETDE)

Globally, digital transformation (DT) is reshaping education through data-driven innovation, artificial intelligence (AI), and emerging learning technologies. These transformative forces are influencing not only instructional methods but also governance, equity, and sustainability in education. Within this context, the study provides a comprehensive review of DT and AI in Vietnam’s education sector. Combining bibliometric mapping with a systematic content analysis, it synthesizes recent scholarly developments to reveal key research trends, methodological orientations, and conceptual structures. Five thematic clusters are identified, including digital competence, institutional transformation strategies, AI literacy, and learner engagement, potentially reflecting a shift from institutional readiness toward learner-centered innovation. …

Coding, Machine Learning, And Game Engines In Initial Teacher Training, Sara Redondo-Duarte, José Manuel Sáez-López

Journal of Educational Technology Development and Exchange (JETDE)

This study evaluated the integration of coding, visual block programming, game engines, and machine learning (ML) modeling in initial teacher education. The aim was to examine the feasibility of this instructional approach and its association with pre-service teachers’ computational knowledge and attitudes toward programming and artificial intelligence (AI). A one-group pretest-posttest design was implemented with 129 undergraduate students enrolled in Primary Education degree programs at two public universities in Spain. Knowledge of computational concepts was assessed with a 10-item test analyzed using a paired-samples Student’s t-test, while attitudes toward programming and ML were evaluated with two Likert scales analyzed using …

Investigation Of Dean’S Transformational Leadership Profiles And Digital Transformation Maturity In Guangxi Public Higher Vocational Colleges, Lili Ding, Jamilah Binti Ahmad, Yuqiang Luo

Journal of Educational Technology Development and Exchange (JETDE)

Background: As China builds an innovation-driven economy, vocational education provides essential skilled workers for key industries, helping to elevate vocational colleges into crucial centers for talent development and social mobility. In this context, the dean’s transformational leadership may play an important role in supporting institutional digital transformation.

Research Question: How do deans’ transformational leadership domains predict institutional digital transformation maturity across leadership and pedagogy in vocational education?

Methods: A sequential explanatory mixed-methods design combined a faculty survey with semi-structured interviews. Valid survey responses from 30 faculty members were analyzed using descriptive statistics, correlations, and regression, followed by thematic analysis of …

Recent Progresses In Few-Nucleon Structure And Dynamics In Chiral Effective Field Theory, Laura Elisa Marcucci, Alex Gnech, Michele Viviani

Physics Faculty Publications

The most recent progresses made within the framework of chiral effective field theory for few-nucleon structure and low-energy reactions are here presented. In particular, for the A = 2 sector, the study of muon capture on deuteron is reviewed. Then, the results obtained using the Hyperspherical Harmonics ab-initio method for the 4He monopole form factor and the ³He(n^→ ,p)³H parity-conserving asymmetry are described.

K-Long Facility At Jlab, Moskov Amaryan

Physics Faculty Publications

In this talk I present the outline of K-long Facility (KLF) at JLab [1]. It was approved by PAC48 in 2020 to run for 200 days of beamtime, equally divided between liquid hydrogen and deuterium targets, to measure dozens of hyperon states predicted by CQM and LQCD but not yet established. This facility also will allow to measure Kπ scattering in different channels to observe the so-called ᴷ scalar meson and measure its width and position with unprecedented accuracy. Finally, it will be shown that exotic baryons can be measured at this facility in formation reactions with a two-body final …

Inverse Problem In The Large Momentum Effective Theory Framework, Herve Dutrieux, Joe Karpie, Christopher J. Monahan, Kostas Orginos, Anatoly Radyushkin, David Richards, Savvas Zafeiropoulos

Physics Faculty Publications

One proposal to compute parton distributions from first principles is the large momentum effective theory (LaMET), which requires the Fourier transform of matrix elements computed nonperturbatively. Lattice quantum chromodynamics (QCD) provides calculations of these matrix elements over a finite range of Fourier harmonics that are often noisy or unreliable in the largest computed harmonics. It has been suggested that enforcing an exponential decay of the missing harmonics helps alleviate this issue. Using nonperturbative data, we show that the uncertainty introduced by this inverse problem in a realistic setup remains significant without very restrictive assumptions, and that the importance of the …

Water Resource Protection Principles And Strategies, Julia Peterson

UNH Cooperative Extension

No abstract provided.

Stormwater Best Management Practices, Kat Kelleher

UNH Cooperative Extension

No abstract provided.

Cryogenic Sloshing In Aircraft Fuel Tanks, Stuart Colville

School of Engineering, Computing and Mathematics Theses

Liquid sloshing in next-generation sub-cooled liquid hydrogen aircraft fuel tanks can induce rapid ullage pressure and temperature drops, potentially causing cavitation in cryogenic pumping systems and compromising fuel delivery systems. Sloshing events may be initiated during taxiing, take-off, landing, and turbulence, with large accelerations producing highly non-linear liquid motion and wave-breaking conditions. Understanding such phenomena is essential for cryogenic hydrogen fuel tank design and certification for next generation aircraft.A systematic experimental methodology was employed to investigate both the wave kinematic and thermodynamic aspects of sloshing. Initial water–air experiments in a simplified horizontal circular tank were conducted to validate measurement techniques, …

Summary Of Beaver And Iron Counties’ Water Conservation And Provisioning Strategies, Lisa Welsh, Joanna Endter-Wada, Burdette Barker, Bethany Neilson, Anna Mcentire, Melissa Stamp, Brian Steed

Reports

This report focuses on water conservation and provisioning strategies that both Beaver and Iron Counties are pursuing to help meet their citizens’ current and future water needs and to contribute to statewide water conservation efforts. It primarily relies on publicly available data from state, county, conservancy district, and city databases, plans, and documents. The purposes of this document are to provide regional context for understanding water use in Beaver and Iron Counties and to describe water conservation strategies that can influence the trajectories of their future water use. 

In both Beaver and Iron Counties, agriculture remains the primary user of …

State Of The University Annual Report - 2025-2026, Office Of The President, East Tennessee State University, University Marketing And Communication, East Tennessee State University

Office of the President State of the University Annual Report

No abstract provided.

Associations Of Blood Pressure Level And Variability With Cortical Thickness: A Cross-Sectional Analysis From The Maracaibo Aging Study, Romeo De Leon, Shana Garza, Silvia Mejia-Arango, Kristina Vatcheva, Sokratis Charisis, Claudia L. Satizabal, Luis J. Mena, Joseph H. Lee, Joseph D. Terwilliger, Eron Manusov

School of Medicine Publications

Background: Although high blood pressure (BP) level and variability are associated with Alzheimer's Disease (AD), their relationship with cortical thickness in brain regions that are associated with AD is unclear. Furthermore, the role of 24-hour BP has not been examined. We investigated the associations of office and ambulatory BP measures with cortical thickness in brain regions implicated in AD.

Methods: We performed a cross sectional analysis of 304 participants without dementia from a population-based study with office and 24-hour BP and magnetic resonance imaging (MRI) data. We considered cortical thickness values derived from 10 regions throughout the frontal, parietal, and …

Narrating Institutional Becoming: Faith, Leadership, And Identity Reconstruction During A College-To-University Transition, Viviene H. Dyer

Dissertations

Problem

The contributions of faith-based higher education institutions to the tertiary landscape in small island developing states are insufficiently addressed in the scholarly literature. Consequently, there is limited understanding of how these institutions navigate organizational transitions and respond to capacity gaps that the public sector is unable to fill within dynamic cultural and regulatory environments. This gap is especially evident for Seventh-day Adventist institutions, whose efforts to preserve mission and identity during periods of institutional change remain underexamined and poorly documented.

Purpose

The purpose of this narrative inquiry study was to examine how university administrators influenced the development and ongoing …

Teacher Self-Efficacy Perceptions For Technology Integration And Social Media Use As Instructional Tools: Future Implications For Pedagogy In Trinidad And Tobago, Paula Edwards Sealey

Dissertations

Problem

As the educational landscape in Trinidad and Tobago evolve post COVID-19, gaining an understanding of the purpose of teachers in the implementation of national and ministerial ICT policies seem imperative. The exploration of teacher’s personal belief about their ability to effectively infuse technology and social media with their traditional teaching practices, may provide much needed insight about the role that teacher self-efficacy plays in this educational shift (Caner & Aydin, 2021; Phillip & Cain, 2015). Very few studies in the local and regional literature involve teacher self-efficacy as a variable of interest. Moreso, there has been no research to …

The Symphony Of Justice: An Intertextual Study Of Social Justice Material Between The Torah And The Psalms, Daniel Gordan

Dissertations

Do passages dealing with social justice in the Torah and the Psalms together comprise an intentionally composed grand symphony, or do they merely form an ad hoc patchwork quilt in which their echoes of similarity are mere coincidences?1 Literary interactions between the Torah and the Prophets of the Hebrew Bible have been a focus of biblical scholarship, but the intertextual connections between the legal corpus of the Torah and poetry in Psalms have not received sufficient attention. Scholars have noticed some thematic similarities, but there are no systematic studies that analyze these interactions to determine whether they involve reuse and, …

The Impact Of Culturally Diverse Student Populations On High School Mathematics Teachers’ Preparations And Practices In Southern Union Conference Of Seventh-Day Adventists, Carla Thrower

Dissertations

The Problem

Across the United States and within faith-based schools recent social and political currents have amplified tensions around culture and belonging in classrooms, particularly for students from racially, ethnically, linguistically, and socioeconomically diverse communities. Evidence indicates that when schooling practices overlook students’ cultural identities or normalize a single cultural frame, students can experience marginalization and reduced access to equitable opportunities to learn (Gay, 2018; Ladson-Billings, 1995; Milner, 2010). In mathematics, a subject often perceived as culture-neutral these dynamics may surface through curriculum choices, participation norms, and expectations that do not meaningfully connect to students’ lived experiences (Aguirre, Mayfield-Ingram, & …

Enhancing Offshore Wind Resource Assessment Through Neural Network-Based Hf Radar Data Analysis, Nikolas Martzikos, Matthew Craven, David Walker, Daniel Conley

School of Engineering, Computing and Mathematics

The increasing demand for offshore wind energy underscores the need for accurate wind speed estimation to support the design and operation of offshore wind farms. High-Frequency Radar (HFR), a widely used remote sensing technology in oceanographic research, offers promising potential for wind resource assessment, particularly in areas where conventional measurements are limited. This study explores the application of artificial neural networks (ANNs) for offshore wind speed prediction using HFR-derived data, addressing key challenges in model development and training. A key feature of this approach is the use of a decade-long dataset from the Celtic Sea, off the southwest UK coast, …

Next-Generation Virtual Environment Training For Cybersecurity In The Maritime Logistics Industry: A Position Paper, Tyler Cheng, Rory Hopcraft, Kimberly Tam, Ji-Jian Chin

School of Engineering, Computing and Mathematics

The maritime logistics industry is the most dependent on it in the modern world, yet it is not well protected against cyber risks. Recently, the maritime industry has been transitioning into industry-specific tech, and threats of cyberattacks are increasing as the adoption of technology and automation continues. One of the most effective methods to protect industries and ships from such security incidents, is to train seafarers to mitigate and handle such incidents. However, to the best of our knowledge, we did not find anything that addresses this gap. This article will present the idea and benefits of using virtual environments …

Scope 3 Carbon Emissions Assessment For Manufacturing Smes, Kourosh Halat, Stephen Childe, Nick Golding, John Summerscales

School of Engineering, Computing and Mathematics

This paper addresses the challenges facing managers of Small-andMedium-Size Enterprises (SMEs) when conducting environmental sustainability assessment at the value chain level, particularly Scope 3 Greenhouse Gases GHG) emissions. The paper investigates issues related to data availability and data quality for Scope 3 assessment and identifies dimensions of Scope 3 reliability.Utilising a series of in-depth case study analyses with SMEs in the south-west of England, UK, the paper fills a gap in supply chain sustainability research by identifying practical challenges. The findings show that SMEs encounter persistent difficulties in assessing emissions associated with purchased goods and services and downstream activities linked …