Digital Commons Network^™

A Robust Multi-Dimensional N-Valued Refined Neutrosophic Logic Framework For Competitive Calculation In The Leisure Sports Industry, Ying Zheng, Lie Mo, Zhiwen Ye

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Epistemic Framework For Intangible Cultural Heritage Resources: Modeling Authenticity, Uncertainty, And Fragmentation In Tourism Development Potential Analysis, Chunxi Fan, Haihong Tan, Fangxin Xu

Neutrosophic Sets and Systems

No abstract provided.

A Hybrid Neutrosophic Statistical–Game Theoretic Framework For Modeling Green Policy Dynamics Of Coal Mining Enterprises Under Indeterminacy In Resource-Based Regions, Ruifen Zhao

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Cognitive Map-Based Modeling Framework For Analyzing The Indeterminate Impact Of Exercise On University Students’ Mental Health, Rui Wang

Neutrosophic Sets and Systems

No abstract provided.

A Nonstandard Neutrosophic Framework For Evaluating Intelligent Clothing Design Effectiveness Under Multisource Perceptual And Functional Uncertainty, Kaixia Zhuo

Neutrosophic Sets and Systems

No abstract provided.

Detection Of Activity Cliffs Produced By Anti-Cancer Drugs And An Algorithm For Reliable Predictions In Affected Areas, Sarah Josephine Aurit

Department of Statistics: Dissertations, Theses, and Student Research

An activity cliff (AC) occurs when drugs close in chemical space produce dissimilar biological results. We focus on developing an inferential procedure to detect the presence of ACs in a chemical landscape. If detected, we provide a distance-based procedure that can be used to identify regions of stability in the chemical landscape of interest and generate prediction with higher precision in those areas of stability. We conceptualize the chemical landscape as a spatial random field and use spatial models for prediction of efficacy for new drugs based on “distance” in chemical space. We argue that an AC manifests itself by …

Applications Of Preclinical Magnetic Resonance Imaging In The Treatment Of Traumatic Brain Injury And Understanding Carotid Artery Atherosclerosis, Evan Timothy Curtis

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

Advances in magnetic resonance imaging (MRI) provide the opportunity to investigate research questions that have been left unanswered. In the cases of traumatic brain injury (TBI) and carotid artery atherosclerosis, MRI is a resource for non-invasively viewing the phenomena taking place. Additionally, potential interventions and treatments can be observed without harm to the subject. This dissertation expands the understanding of two preclinical applications of MRI: traumatic brain injury and carotid artery atherosclerosis in mouse models.

TBI is a leading cause of death and disability for individuals between 15–45 years of age and effective pharmaceutical interventions for treating the secondary damage …

Flooding: Risk Assessment And Its Interaction With Population & Environmental Health, Shivendra Srivastava

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

Flood events have significant implications for both population and environmental health. This dissertation aims to explore flood risk and its interaction with humans and the environment. The key questions addressed in this dissertation include improving the existing flood risk framework to better assess population vulnerability and associated risk. Additionally, it explores how interactions among risk components vary across spatial scales and regions, and how these variations influence overall flood risk. The dissertation also investigates how to design a vulnerability component specific to flooding within flood risk estimation. Finally, it answers whether flood-specific vulnerability differs for a population compared to vulnerability …

Ferroelectricity And Multiferroicity In Ultrathin Films Of Unconventional Transition Metal Oxide, Xin Li

Department of Physics and Astronomy: Dissertations, Theses, and Student Research

Ferroic orders of transition metal oxides, such as ferroelectricity and ferromagnetism, are determined by the intercoupling between spin, charge, lattice. Consequently, ferroic epitaxial thin films have attracted wide interest due to the profuse novel phenomena and the great application potentials for modern electronics. However, the mainstream of the study for transition metal oxides has focused on perovskite structure, limiting the understanding and discovery of novel phenomena associate with ferroic orders. In this thesis, the epitaxial films of hexagonal rare-earth ferrites (h-RFeO₃) and fluorite-structure hafnia oxide (HfO₂) are studied comprehensively, providing new experimental and theoretic …

Artificial Intelligence On Campus: Revisiting Understanding As An Aim Of Higher Education, Jamie Herman, Henry Lara‐Steidel

Prindle Faculty and Staff Publications

AbstractThe launch of the powerful generative AI tool ChatGPT in November 2022 sparked a wave of fear across higher education. The tool could seemingly be used to write essays and do other work without students putting in the effort expected of them. In this paper, Jamie Herman and Henry Lara‐Steidel posit a way of addressing the concerns over ChatGPT and increasingly powerful generative AI tools in the classroom by first examining what exactly, if anything, widespread AI use undermines in education. That question, they argue, is logically prior to the question of what to do or how best to embrace …

How Do Homeschool Parents In South Carolina Select Curriculum And Make Pedagogical Choices To Support Their Children’S Early Reading Development?, Lauretta O. Osho

All Dissertations

Early Childhood Education (ECE) is a period of growth and development for young children as they begin their educational journey. The need for a high-quality early childhood learning experience is necessary for the child’s holistic development, without which children may grow up with learning challenges that could negatively impact their adult life. Each child's early learning experience must begin with a good and deliberate reading foundation. Therefore, understanding the best methods of instilling strong reading skills in children from an early age sets the foundation for lifelong learning and success.

Homeschooling is the practice of educating, instructing, and tutoring children …

Data-Driven Koopman Theory For Transient Stability And Safety Analysis Of Power Systems With Renewable Penetration, Bhagyashree Umathe

All Dissertations

This dissertation presents a novel approach to analyzing and controlling nonlinear systems using the Koopman operator framework and data-driven methods. Nonlinear power systems, characterized by complex behaviors and sensitivity to initial conditions, pose significant challenges for stability and safety assessment, especially during transient events.

The first part of this work focuses on reachability analysis using the spectral properties of the Koopman operator. By leveraging eigenfunctions extracted from sampled trajectory data, the approach computes forward and backward reachable sets efficiently, even in high-dimensional nonlinear systems, without requiring dense state-space sampling. This method is validated through numerical examples, demonstrating its ability to …

August 2025 Library News, University Libraries

Library News

No abstract provided.

An Exploration Of Factors Influencing Sophomore-Year Persistence At A Regional Institution In Southern Appalachia, Jonathan W. Mitchell

Electronic Theses and Dissertations

The purpose of this qualitative and interpretative phenomenological study was to explore factors that participants identified as playing roles in their persistence through their sophomore years at a regional university located within Southern Appalachia. Research on second-year retention efforts is far lacking compared to first-year retention efforts. Reflecting the heavy emphasis placed on the first year, there is also more research on first-year retention. However, students can feel a sharp decline in support entering sophomore year, making that just as critical of a transition. Student retention has been emphasized in higher education since its inception, as an institution’s goal in …

Considering The Concept Of Law In The Legal Singularity, Matthew Tse

Canadian Journal of Law and Technology

This review article engages with the idea of a ‘‘legal singularity”, which has been developed by Abdi Aidid and Benjamin Alarie in their book, The Legal Singularity: How Artificial Intelligence Can Make Law Radically Better.

The legal singularity describes a legal system in the future that harnesses algorithmic computation to facilitate a ‘‘stable and complete legal order, capable of addressing and resolving practically all types of legal uncertainty in real time and on demand”. Aidid and Alarie believe algorithmic computation will achieve this promise in an interdependent dual process. On one hand, algorithms will structure the law with conceptual standardization. …

Pre-Service Teacher Perceptions Of An Outdoor Learning Experience Within A Science Methods Course, Steph Dean, Summer Landreth

Publications

Given the challenges currently facing early childhood science education, this exploratory study investigates the advantages of outdoor learning as part of a teacher preparation program. A group of 49 pre-service early childhood education teachers participated in a day-long outdoor learning experience embedded within their science methods course. Guided by the theoretical lens of embodied cognition, we employed a case study approach to collect and analyze qualitative survey data, using both categorizing and connecting strategies to explore participants’ experiences. The findings reveal four key themes related to pre-service teacher perceptions, in that outdoor learning: (1) represented an engaging experience, (2) contributed …

Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Third Quarter 2022, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Low-Level Memory Attacks On Edge Assisted Robotic Applications, William Arnold

Master of Engineering Theses

This thesis investigates how low-level memory faults can undermine edge-assisted robotic systems that rely on memory optimization. As robots are utilized in real world applications, the ability to operate safely and successfully in mission critical deployment becomes important. To help achieve these goals, developers are increasingly starting to place computation nodes at network edges to meet latency and reliability requirements. Edge nodes, however, are resource-constrained and resources conservation techniques such as Kernel Same-page Merging (KSM) are enabled to deduplicate identical pages across processes or virtual machines. This thesis shows that this optimization technique quietly widens the attack surface and can …

Introduction To C++ (Volume I), Hussam Ghunaim Ph.D.

All Open Educational Resources

This book is written as an Open Education Resource (OER) to replace expensive commercial materials currently used at the Department of Computer Science at Fort Hays State University. It has two volumes corresponding to the CSCI 121 and CSCI 221 courses. These courses are developed to introduce college freshmen students to Object-Oriented Programming utilizing C++. The author tried to bridge the gap in the current programming textbooks by avoiding lengthy and, on many occasions, unnecessary details. This book’s main feature is to present the discussed principles in the least wording possible while providing adequate examples and exercises to reinforce students’ …

Effectiveness Of Geo Fun Thinkers Digital Learning Media On Student Understanding, Nur Halimah Silviatus Zahra, Budi Handoyo, I Komang Astina, Wan Ibrahim Wan Ahmad

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

This study aims to develop and test the effectiveness of Digital Geo Fun Thinkers learning media on student understanding of the material on the utilization of natural resources and their problems. The research used the Research and Development (R&D) method with the ADDIE model (Analysis-Design-Development-Implementation-Evaluation) which was carried out at Almaarif Singosari Islamic High School with the subject of 27 students in class XI IPS 1. Digital Geo Fun Thinkers media was developed based on digital technology by raising the contextual phenomenon of natural resources at the foot of Mount Arjuno, especially in Sumber Brantas and Toyomarto villages. This media …

Bridging The Gap: Evaluating The Effectiveness Of Trio Student Support Services In Promoting Retention, Persistence, And Graduation At Boise State University, Ryan Brevik

Boise State University Theses and Dissertations

This dissertation examines the effectiveness of TRIO Student Support Services (SSS) programs at Boise State University in promoting academic success of first-generation college students, students from financially limited backgrounds, and students with documented disabilities. Using a quantitative, quasi-experimental design, a secondary data analysis was completed to compare fall-to-fall retention rates, four-year graduation rates, and six-year graduation rates between TRIO SSS participants and a matched comparison group of non-participants with similar demographic and academic characteristics. Grounded in the theoretical frameworks of Appreciative Advising, self-efficacy theory, sense of belonging, student involvement theory, and student persistence models, this study adds to the existing …

Hiring Practices And Superintendent Turnover In Rural Idaho: Examining Factors That Influence Leadership Stability, Scott Frank

Boise State University Theses and Dissertations

This descriptive multi-case study examines superintendent turnover and hiring practices in rural Idaho school districts to identify factors influencing leadership stability. The study addresses the central research question: What factors influence the hiring process of district superintendents in high- and low-turnover school districts? Using semi-structured interviews, document analysis, and a comparative examination of two districts—one with high superintendent turnover and one with low turnover—this research explores the structural and governance factors shaping retention.

Findings indicate that low-turnover districts develop internal leadership pipelines, promote certified staff to administrative roles, and systematically engage community stakeholders in hiring decisions. These practices foster leadership …

Integration Of Highly Mismatched Iii-Sb Virtual Substrates On Silicon Via Interfacial Misfit Arrays For Short-, Mid-, And Long-Wave Infrared Applications, Trent Garrett

Boise State University Theses and Dissertations

Lattice constants of the III-V semiconductors range from 5.45 Å (GaP) to 6.48 Å (InSb). III-V semiconductors are grown on commercially available substrates made from binary III-V materials (e.g., GaAs, InP, and GaSb), or group IV materials (e.g., Si or Ge). These substrates offer very high quality, but only offer access to a small number of specific lattice constants. Given this constraint, it is desirable to develop growth methods that would allow the grower to modulate from the substrate lattice constant into the lattice constant of the material structure under investigation.

Device structures made from III-V semiconductors lattice-mismatched to these …

Preparing Pre-Service Teachers For Writing Instruction: Best-Practices And Insights Into Self-Efficacy, Lindsey Wiggins

Boise State University Theses and Dissertations

Many pre-service teachers (PSTs) report feeling under-prepared to teach writing, a challenge often linked to limited attention to writing instruction in teacher preparation programs (TPPs). While writing methods courses offer opportunities to build PSTs’ self-efficacy and pedagogical skill, questions remain about how to best structure these experiences and measure their impact. This three-article dissertation examines how PSTs develop self-efficacy for writing and writing instruction during teacher preparation and how those beliefs relate to instructional practices.

In Study I, I conducted a systematic literature review to examine how researchers measure the effects of effective writing and writing instruction interventions with elementary …

Farmers’ Perceptions About Drivers Of Poverty: A Case Study Of Cocoa Farmers In Ghana, Felix Agyei Boamah

Graduate Theses and Dissertations

Cocoa farmers in Ghana face numerous challenges that undermine their incomes and living standards, including high labor costs, fluctuating cocoa prices, high cost and limited access to inputs, lack of credit, illegal mining, weather risks, small farm sizes, outdated farming and drying technologies, and inadequate extension services. These issues reduce productivity, lower incomes, and perpetuate poverty. This study examined farmers’ perceptions about the importance of these challenges and assessed possible differences across regions and farm households’ socioeconomic status. In the summer of 2024, data were collected from 400 cocoa farmers in major cocoa-producing areas of Ghana’s Eastern and Ashanti regions. …

Greening The Virtual: An Interdisciplinary Narrative Review On The Environmental Sustainability Of The Metaverse, Mousa Al-Kfairy

All Works

As the Metaverse continues to evolve as a transformative digital ecosystem, its environmental implications remain insufficiently examined within academic discourse. Despite growing interest in its technological and societal impacts, there is a lack of comprehensive evaluations that synthesize existing knowledge on its sustainability potential. This interdisciplinary narrative review addresses this gap by critically exploring how Metaverse technologies intersect with environmental sustainability across key sectors, including education, healthcare, tourism, e-commerce, manufacturing, and urban development. Employing a narrative review methodology informed by a systematic selection of scholarly and industry sources, the study consolidates current practices, emerging opportunities, and notable trade-offs. While the …

From Waste To Solution: Modeling And Characterization Of Grape Seed Bio-Waste For Phosphate Removal From Wastewater, Abeer Al-Bsoul, Zakaria Al-Qodah, Muhammad Tawalbeh, Khalid Bani-Melhem, Khalideh Al Bkoor Alrawashdeh, Mohammad Hailat, Ahmed A. Al-Taani, Eid Gul

All Works

In this study, particles of ground grape seeds were utilized to adsorb phosphate ions from a prepared solution, aiming to reduce phosphate concentration. Through a series of adsorption experiments, the effects of the adsorbent concentration, initial phosphate ion concentration, temperature, and pH on the phosphate ion uptake were studied. The removal efficiency of the phosphate ion decreased from 77 to 61% as a 25 to 45 °C increment in temperature was observed, which indicated the exothermicity in the adsorption process. The phosphate ion movement onto the adsorbent surface that exhibited the highest uptake value favored a neutral reaction environment with …

Properties Of A Class Of Analytic Functions Associated With Exponentially Convex Functions, K. R. Karthikeyan, Elangho Umadevi, G. Thirupathi, Dharmaraj Mohankumar

All Works

Studies in univalent function theory comprising the exponential of differential characterizations are rarely considered. The prominent study in this direction is the study of so-called α-exponentially convex functions. Here we study a class of analytic functions which satisfy an analytic characterization influenced by the definition of the multiplicative derivative and α-exponentially convex functions. Integral representation and coefficient inequalities of the defined function class are the main results of the paper.

Trust In Healthcare Ai Can’T Just Be Designed – It Must Be Felt By Clinicians And Patients, Adriana Banozic-Tang, Heng Wang

Research Collection Yong Pung How School Of Law

Trust in healthcare AI currently over-relies on system design, not lived medical realities.Continuous feedback loops are necessary to embed trust in healthcare AI that is responsive to clinician and patient needs.Initiatives in South-East Asia show how trust in technology can be extended from policy to practice.

Artificial Intelligence Integration And Teachers' Self-Efficacy In Physics Classrooms, Fouad Yehya, Areej Elsayary, Ghadah Al Murshidi, Ahmed Al Zaabi

All Works

The United Arab Emirates (UAE), in its vision 2021 and the UAE centennial 2071 plan, highlights the essential role of artificial intelligence (AI) and technology in shaping a knowledge-based, future-ready society. This study explores the integration of AI in physics classrooms, focusing on secondary education in the UAE. It also investigates the perceptions and self-efficacy of physics teachers regarding the use of AI tools in classroom settings. A qualitative research design was employed to gather in-depth insights from 15 physics teachers across schools in Sharjah, assessing their confidence and readiness for AI integration through the lens of the attitude and …