Digital Commons Network^™

Https://Fs.Unm.Edu/Nss/Nss-89-2025-Sia.Pdf, Florentin Smarandache, Ma Kel Leyva Vázquez, Mohamed Abdel-Basset

Neutrosophic Sets and Systems

No abstract provided.

Governance In The Absence Of Government, Tracy Hresko Pearl

Faculty Articles

Artificial intelligence (AI) is advancing at an unprecedented pace, with generative systems exerting growing influence over social, economic, and political life. While Al offers opportunities for innovation and efficiency, it also poses risks ranging from misinformation and job displacement to existential threats if highly autonomous systems evade human control. Across industry, government, and civil society, there is broad consensus that Al requires oversight.

Yet traditional U.S. regulatory approaches face six significant barriers: (1) technology outpacing legislation, (2) limited Al expertise among policymakers, (3) regulatory capture, (4) political gridlock, (5) outdated governance structures, and (6) the inherent complexity of Al. Combined …

Msh 245 The American Musical Experience Fall 2025 Syllabus, Margaret Farrell

Open Educational Resources

This syllabus guided our exploration of the ways in which the musical cultures of those who arrived on our shores from Europe and Africa shaped the emergence of a distinctly American musical tradition. Links to relevant readings were provided on our LMS (Brightspace) page. Since this was an asynchronous online section, engagement was mainly through videos and slide presentations. Discussion assignments reinforced learning and encouraged critical thinking. In addition, students were required to submit a report on a live American music experience.

Additively Manufactured Bioinspired Microstructures For Active Surface Modification, Zefu Ren

Doctoral Dissertations and Master's Theses

Advancements in additive manufacturing have facilitated the development of bioinspired microstructures, which hold promise for applications, such as liquid transport, self-cleaning, and anti-icing. However, the controllability of these microstructures remains an area requiring further exploration. This research explores the design, fabrication, and active control of 3D-printed bioinspired microstructures for dynamic wettability modulation. First, the anisotropic scales of butterfly wings were replicated through optimized two-photon polymerization printing strategies, achieving directional droplet motion controlled by structural geometry and arrangement. The reversed wetting trend compared with natural wings revealed key insights into the structure–performance relationship. Next, microstructures were integrated with dielectric elastomer actuators …

Resilience Engineering Via Bifurcation And Ecological Network Analysis: Demonstrated In An Electric Power Case Study, Rogelio Gracia Otalvaro

Doctoral Dissertations and Master's Theses

Modern systems are increasingly complex, interconnected cyber-physical systems that combine digital controls with physical infrastructure. This integration, along with the constant introduction of new technologies and actors into the network, enables reliable operation but introduces vulnerabilities to unexpected and varied disruptions and cascading failures, making resilience a critical concern. Traditional risk management and resilience assessment methods often struggle with the nonlinearity and dynamic behavior of these systems. This dissertation proposes a novel approach combining Bifurcation Analysis (BA) and Ecological Network Analysis (ENA) to enhance the understanding and improvement of system resilience. BA, a mathematical method from dynamical systems theory, is …

Adaptive Control For Spacecraft With Flexible Appendages With Unknown Parameters, Nicolo Woodward

Doctoral Dissertations and Master's Theses

Flexible spacecraft pose several challenges in control design due to the uncertain dynamical model and the underactuated nature of these systems. Adaptive and robust controllers are the common choice for these systems to either meet operational requirements like attitude pointing or to suppress vibrations. However, these controllers add complexity in the design of onboard Attitude Determination and Control Systems (ADCS) and the Reaction Control Systems (RCS) for spacecraft maneuvering. The objective of this research is to control a system that undergoes unpredictable and unknown disturbances through onboard derivation of an equivalent reduced order model designed around mounted sensors. The proposed …

Flatness-Based Active Disturbance Rejection Control With B-Spline Output Regulation For A Chemical Reactor, Qasim M. Hamad, Safanah M. Raafat

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Model uncertainties and exogenous disturbances are inherent phenomena in chemical plants that degrade performance and lead to poor-quality products. To mitigate these Issues, this paper addresses disturbances by exploiting the differential flatness property (DFP) of the nonlinear continuous stirred tank reactor (NCSTR). A two-degree-of-freedom (2DOF) control design was implemented, incorporating flatness-based feedforward and feedforward and feedback controllers. This design leverages the differential flatness method for effective stabilization and tracking performance. A robust feedback tracking control strategy integrating a disturbance observer (DO) and a simple feedback controller was implemented to form a flatness active disturbance rejection control (FADRC) scheme. The B-spline …

Group-Based Sample Partitioning Knn: A Computationally Efficient Knn Algorithm For Resource-Constrained Environments, Ayad M. Dalloo, Amjad J. Humaidi

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The k-Nearest Neighbors (kNN) algorithm is widely used for classification due to its simplicity and effectiveness. However, its computational cost remains a significant challenge, particularly for embedded systems with limited processing power and memory. To address this Issue, we propose the Group-Based Sample Partitioning (k²NN) Algorithm, which introduces a two-phase approach to reduce computational complexity while maintaining classification accuracy. In the first phase, the algorithm pre-groups training samples by iteratively selecting anchor points and partitioning their k-nearest neighbors, thereby reducing redundancy in the dataset. In the second phase, the test sample dynamically selects local anchor points, constructing a smaller, more …

A Review Of Post-Quantum Digital Signature Schemes Applicability And Performance In Various Environments, Marwa M. Hamood, Arwa A

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The emergence of quantum computers, coupled with relentless advancements in technology, calls for the immediate transition from classical to modern cryptography for efficient data transfer across optic fibers. This paper assesses different proposed post-quantum signature schemespertaining to their plausibility of being useful against quantum computers’ capabilities. The ability of quantum computers to solve mathematical equations at speeds significantly faster than those of classical computers is remarkable. Existing cryptographic frameworks that depend on discrete logarithms and integer factorization are seriously threatened by this exceptional efficiency. In order to protect sensitive data in a post-quantum world, it may be necessary to reevaluate …

Jet Impingement And Vortex/Swirl Cooling Of Different Inlet And Outlet Geometrical Configurations For Turbine Blade Leading Edge Cooling, Irfan Ahmad Sheikh

Dissertations

Gas turbine blades operate in extreme environments, exposed directly to high-temperature combustion gases that cause severe thermal stresses, weaken material integrity, and may lead to structural failure. Proper cooling is crucial to lower blade temperatures, reduce thermal stresses, prevent failure, and improve overall engine efficiency. This work presents a detailed numerical study of various cooling configurations by applying two advanced leading-edge cooling methods, jet impingement and swirl cooling, across different inlet mass flow rates and jet Reynolds numbers (Rej) ranging from 1,000 to 20,000 to evaluate their cooling performance.

Several advanced leading-edge cooling configurations are proposed and compared with the …

Improved Carrier Frequency Offset Measurement With Reduced Latency And Computational Requirements, Niyaz Othman Ali, Jalal Jamal

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Over the past four decades, the communication sector has experienced significant economic growth and widespread adoption. Some emerging applications require high data rates, low latency, and must operate efficiently in environments where wireless devices are moving at high speeds. Noise and high device mobility have a considerable impact on received signal frequency, ultimately affecting system performance. So, accurate frequency estimation for received signals is therefore crucial, prompting extensive research. In this paper, we propose a three-step frequency estimation technique. The first stage, termed the coarse stage, employs a few sampling sizes to perform a fast Fourier transform. The second stage …

Learning Opportunities 2025/2026, Illinois Math And Science Academy

Course Catalogs

The graduation requirements of the Illinois Mathematics and Science Academy are established by the IMSA Board of Trustees. Each semester students must take a minimum of five academic courses (2.5 credits) for a letter grade (not Pass/Fail) not including SIR, Internship, Credentials and Independent Study. Students may enroll in a maximum of seven courses each semester including academic courses, SIR, Internship, Credentials, and Independent Study. The College and Academic Counselor approves enrollment for students in all courses and experiences. Academic courses must be taken for a grade in order to count towards graduation credit.

Examining Special Education Administrators' Response To Due Process Complaints And Litigation Specific To Least Restrictive Environent, Melissa Jane Chiplis

Theses and Dissertations

Special education administrators have a complex and comprehensive role that requires them to be knowledgeable about special education law and the development of special education programming within their districts. The complexity of the role includes the managing of federal and state funds, allocating resources for the delivery of special education services, designing professional learning opportunities to support services providers with developing appropriate individualized education plans, and monitoring the effectiveness of special education programs. The outcome of these responsibilities is to ensure students with disabilities receive services in the least restrictive environment and to provide local education agency representatives with the …

Synthesis And Characterization Of Lanthanide Extended Structures And Their Novel Transuranic Analogues, Hunter Bernard Tisdale

Theses and Dissertations

The United States owns a substantial amount of radioactive waste as a result of decades of research, weapons manufacturing, and nuclear energy production. As nuclear energy and research continue to add to our stockpiles of waste, the issue of remediating this waste becomes more pressing. Many of the radioactive constituents of this waste, such as the transuranic (Z > 92) elements, will give off radioactivity at harmful levels for millennia. Thus, a robust method of storing this waste is paramount to ensuring public safety. Currently, nuclear waste is being processed by vitrifying it in borosilicate glass. However, this method has shortcomings …

Investigating Connections Among Cognitive Coaching, Student Agency And Achievement In Ninth Grade Algebra 1, Terri Renee Rathburn

Theses and Dissertations

This convergent parallel mixed-methods action research study explored the application of Cognitive Coaching as a student-centered intervention to promote agency and academic achievement in a ninth-grade Algebra 1 classroom. Grounded in Bandura’s Social Cognitive Theory and informed by self-regulated learning and agentic engagement frameworks, the study investigated how structured coaching conversations supported students’ intentionality, forethought, self-reactiveness, and self-reflectiveness.

Findings indicate that students who engaged in coaching demonstrated measurable growth in self-reported agency and thematic analysis of coaching transcripts revealed shifts from passive compliance to proactive engagement. While achievement results on the Algebra 1 end of course assessment did not reveal …

The Case For Using Student-Generated Goals To Cultivate Strong Readers, Heather Anne Wyman

Theses and Dissertations

This mixed-methods action research study explored how to motivate seventh-grade students to become stronger readers. I empowered my students by giving them the autonomy to set their own Lexile goals and develop plans to reach them, offering goal-setting lessons along with feedback and support. Students were motivated to meet the goals they created. Lexile assessment data from two benchmark periods enabled me to determine students’ growth, and survey and interview data helped me to determine their perceptions of their increase in self-efficacy and motivation to achieve. While most students did not meet their self-identified Lexile goals, most made academic progress, …

Gravitational Perturbations And Quantum Field Interactions In Modified Spacetime Backgrounds, Abhishek Rout

Theses and Dissertations

This dissertation presents a study of gravitational perturbations and quantum field dynamics in modified spacetime backgrounds. The research is motivated by the quest to understand how quantum fields behave in curved spacetimes, particularly when extensions to general relativity, such as Chern--Simons modifications, are introduced.

The first part examines quantum field interactions with oscillating solitonic backgrounds, inspired by breather-type solutions of the sine--Gordon equation. Fermion bound states are shown to undergo destabilization due to the oscillatory background, leading to particle production and flux propagation to infinity. These results highlight the challenges of maintaining localized fermionic states in time-dependent topological backgrounds.

The …

The Role Of Language Ideologies In Saudi Elementary English Education: Efl Teacher’S Perspectives And Experiences, Ghanem Saad S Alghuwainem

Theses and Dissertations

This dissertation examines how Saudi elementary English teachers understand and enact language ideologies in a period of rapid educational change and national reform. Using a comparative case study of five teachers in Al-Ahsa, the study triangulates semi-structured interviews, classroom audio recordings, and teaching materials to compare stated beliefs with observable practice. The analysis is guided by the theories of English hegemony and language and gender ideology, which together illuminate how global linguistic hierarchies are localized through teachers’ beliefs and practices. Findings reveal that teachers occupy an ideologically complex position as they balance the national push for English proficiency under Vision …

Strategies For Developing Mathematical Identities In Middle School Students, Margaret M. Stevens

Theses and Dissertations

This concurrent mixed-methods action research study investigated the impact of mathematical discourse intervention on seventh-grade students’ mathematical identities and understanding. Twenty students participated in a four-week intervention implementing Smith and Stein’s (2018) five practices plus one framework.

Quantitative results showed curriculum-based assessments improved significantly (p < .001, d = 1.64). State mathematics assessment revealed minimal change in mean scores. The Mathematical Identity Questionnaire revealed positive shifts across all five constructs, with largest gains in Mathematical Initiative (+0.40) and Problem-Solving Persistence (+0.30). Qualitative analysis using Bingham’s (2023) five-phase process revealed three themes: Mathematical Voice Development, Identity Transformation Through Competence Building, and Communal Validation. Social Cognitive Theory and Culturally Relevant Pedagogy integration showed how discourse interventions addressed both individual self-efficacy and systemic inequities. Findings suggest intensive discourse intervention can initiate positive changes in mathematical identity and understanding for struggling students. Implications include restructuring mathematics instruction to prioritize student discourse and voice, creating more equitable learning environments.

Multiphysics Modeling, Analysis, And Design Of Ceramic Hollow Fiber Membranes For Oxygen Separation, Hamed Abdolahimansoorkhani

Theses and Dissertations

Oxygen plays a central role in numerous industrial processes. Several technologies have been reported for producing oxygen from air. Among them, oxygen transport membrane (OTM) technology—based on mixed-conducting, gas-tight ceramic membranes—has attracted significant attention due to its high oxygen selectivity, relatively low capital and operating costs, and versatility for both ex-situ and in-situ applications. Mathematical modeling of OTMs offers a powerful tool to investigate internal multi-physics transport phenomena, providing deeper insight into fundamental mechanisms while serving as a cost-effective approach for optimizing membrane stack designs.

After a comprehensive introduction, in the first part of this dissertation (chapter 2), a comprehensive …

Computational Analogies In The Era Of Large Language Models, Amarakoon Mudiyanselage Thilini Wijesiriwardene

Theses and Dissertations

Analogical reasoning is an important part of human cognition requiring the integration of abstract reasoning, pattern recognition, and background knowledge. Despite significant advances in language modeling, the capacity of current methods to accurately identify, model, and evaluate analogies remains fundamentally underexplored.

Analogies enable individuals to perceive deep similarities between superficially different situations. Effective analogy-making requires integrating knowledge about the external world with abstract reasoning and pattern recognition capabilities. While current language models (LMs), trained on massive textual corpora using autoregressive or masked objectives, achieve impressive performance across Natural Language Processing (NLP) tasks such as text generation, summarization, and classification, their …

Supporting Adult Language Learners Through Interactive Routines And Trauma-Informed Engagement, Andrew J. Francis

School of Education and Leadership Student Capstone Projects

Francis, A. (2025) Supporting Adult Language Learners Through Interactive Routines and Trauma-Informed Engagement

This capstone project investigates the impact of trauma-informed routines on reducing anxiety and enhancing relationships within adult English language classrooms, with a particular focus on refugee learners who frequently experience elevated stress responses that can impede both their participation and cognitive processing. Drawing on neuroscientific research that illustrates how trauma affects memory, emotional regulation, and executive functioning, the research highlights the importance of an instructional approach that emphasizes psychological safety, predictability, and supportive relationships as essential components of effective language learning. Utilizing frameworks from trauma-informed education, this …

Advocating For Social Justice In 4th Grade Ela Curriculum And Standards: Culturally Responsive Fidelity Frameworks For Leadership And Educators, Sélah F. Mcclain

School of Education and Leadership Student Capstone Projects

This Capstone Project examines how the alignment of Minnesota English Language Arts standards and curriculum merged with a culturally responsive teaching fidelity framework will influence student engagement, academic rigor, and intentional academic discourse among Black fourth-grade scholars in an urban learning community. It is grounded in Ladson-Billings’(1995) and (2009) culturally relevant pedagogy, Hammond’s (2021) culturally responsive teaching with connection to the science of learning and development, as well as Falk and Blumenreich’s (2005) theory regarding cognitive constructivism. This research explores the role of leadership and educators in the implementation of culturally responsive pedagogy with fidelity to create coherence between standards, …

Effective Practices In Working With Academic Coaches, Tracia M. Forman, Jessica M. Sanchez

Health & Biomedical Sciences Faculty Publications

As online education grows, instructional teams with academic coaches have become increasingly valuable in higher education. Coaches play crucial roles in fostering student engagement, supporting active learning, and delivering timely feedback, particularly in large online courses. Recent mixed-method research examined effective coach integration into online instructional teams by analyzing faculty characteristics, behaviors, preferences, attitudes, and knowledge. The study identified successful strategies and best practices for faculty-coach collaboration, providing actionable insights for instructors. This research expands our understanding of how team-based approaches can enhance educational quality in virtual environments, contributing meaningfully to ongoing discussions about online teaching effectiveness and the strategic …

The Gender Pay Gap: An Occupational Analysis (2012-2023), Curtis Long

Harriet L Wilkes Honors College Theses 2020 - Present

This thesis examines the gender wage gap across thirty major U.S. occupations from 2014 to 2023 using data from the Current Population Survey (CPS), more specifically, the U.S. Bureau of Labor Statistics (BLS). The analysis measures the difference in median weekly earnings between women and men in each occupation and applies two statistical tests: a yearly z-test to evaluate whether the average wage gap is significant, and a ten-year t-test to identify persistent occupational gaps. Results show significant wage differences in every year, with the largest disparities in finance, management, and law, and smaller gaps in education and healthcare. Consistent …

Numerical Simulations Of Highly Eccentric Systems Of Binary Neutron Stars With Spin, Victoria White

Harriet L Wilkes Honors College Theses 2020 - Present

Binary Neutron Star (BNS) mergers are among the most energetic events in the universe, producing gravitational waves, electromagnetic radiation, and heavy elements. While previous research has utilized simulations for collisions, few studies have accounted for how the spin of the stars affects mergers. This thesis contains a general overview of the topic and a research component conducted in the field of numerical relativity. High-performance computing was used to simulate BNS collisions, examining how spin affects the inspiral, merger, and post-merger phases. Computations used the Einstein Toolkit, Cactus framework, and the numerical tool developed by the FAU Relativity Group, Sgrid. The …

Study Of The Ic 443 Region With The Hawc Observatory, R. Alfaro, C. Alvarez, M. Araya, J. C. Arteaga-Velázquez, D. Avila Rojas, H. A. Ayala Solares, S. Groetsch, P. Hüntemeyer, M. Najafi, R. Turner, Et. Al

Michigan Tech Publications

Supernova remnants are one potential source class considered a PeVatron (i.e., capable of accelerating cosmic rays above PeV energies). The shock fronts produced after the explosion of the supernova are ideal regions for particle acceleration. IC 443 is a supernova remnant that has been studied extensively at different wavelengths. Using 2966 days of gamma-ray data from the High Altitude Water Cherenkov (HAWC) observatory, we study the emission of IC 443 with the objective of finding signatures of cosmic-ray acceleration at the PeV scale. Using a maximum likelihood method, we find a point source located at (α=94.°42, δ=22.°35) that we associate …

Montebello Islands Marine Sediment Retains Nuclear Weapons-Derived Radionuclide Contamination 70 Years After Detonations, Madison Williams-Hoffman, Mathew P. Johansen, Piers Larcombe, David P. Child, Michael A.C. Hotchkis, Oscar Serrano, Paul S. Lavery, Sangeeth Thiruvoth, Pere Masqué

Research outputs 2022 to 2026

Three nuclear weapons tests were conducted in the 1950s at the Montebello Islands, an Indian Ocean archipelago in NW Australia. Anthropogenic radionuclides were introduced into the surrounding waters, where little quantification of the marine environment has occurred since. Here, we assess the distribution of anthropogenic radionuclides and plutonium (Pu) atom ratios in marine sediment throughout the Montebello Islands and the Western Australian (WA) coastline. Surface sediment was analysed for ⁹⁰Sr, ¹³⁷Cs, ^{238,239,240,241}Pu and ²⁴¹Am, alongside ²⁴⁰Pu/²³⁹Pu and ²⁴¹Pu/²³⁹Pu atom ratios. The highest activity concentrations in sediment were from ^239,240Pu, …

Design Of A Robust Adaptive Cascade Fractional-Order Proportional–Integral–Derivative Controller Enhanced By Reinforcement Learning Algorithm For Speed Regulation Of Brushless Dc Motor In Electric Vehicles, Seyyed Morteza Ghamari, Mehrdad Ghahramani, Daryoush Habibi, Asma Aziz

Research outputs 2022 to 2026

Brushless DC (BLDC) motors are commonly used in electric vehicles (EVs) because of their efficiency, small size and great torque-speed performance. These motors have a few benefits such as low maintenance, increased reliability and power density. Nevertheless, BLDC motors are highly nonlinear and their dynamics are very complicated, in particular, under changing load and supply conditions. The above features require the design of strong and adaptable control methods that can ensure performance over a broad spectrum of disturbances and uncertainties. In order to overcome these issues, this paper uses a Fractional-Order Proportional-Integral-Derivative (FOPID) controller that offers better control precision, better …

Explainabledetector: Exploring Transformer-Based Language Modeling Approach For Sms Spam Detection With Explainability Analysis, Mohammad Amaz Uddin, Muhammad Nazrul Islam, Leandros Maglaras, Helge Janicke, Iqbal H. Sarker

Research outputs 2022 to 2026

Short Message Service (SMS) is a widely used and cost-effective communication medium that has unfortunately become a frequent target for unsolicited messages - commonly known as SMS spam. With the rapid adoption of smartphones and increased Internet connectivity, SMS spam has emerged as a prevalent threat. Spammers have recognized the critical role SMS plays in today's modern communication, making it a prime target for abuse. As cybersecurity threats continue to evolve, the volume of SMS spam has increased substantially in recent years. Moreover, the unstructured format of SMS data creates significant challenges for SMS spam detection, making it more difficult …