Digital Commons Network^™

Machine Learning Models With Neutrosophic Numbers For Network Anomaly Detection And Security Defense Technology, Hussein S. Al-Khazraji, Ahmed M. Alkhamees, Humam M. Al-Doori, Ahmed A. Metwaly, Mohamed Eassa, Ahmed Abdelhafeez, Ahmed Salama S., Ahmad M. Nagm

Neutrosophic Sets and Systems

No abstract provided.

Assessing Teaching Effectiveness In Journalism And Communication: A Data-Driven Perspective Using Hypersoft Set, Xiaoxi Zhang

Neutrosophic Sets and Systems

No abstract provided.

Decomposition Of Neutrosophic Zero-Divisor Graph, Balakrishnan A, Kanchana M, Said Broumi, Thirugnanasambandam K

Neutrosophic Sets and Systems

No abstract provided.

Indetermsoft Set For Talent Training Quality Assessment In University Engineering Management Under The Background Of "Dual Carbon", Li Li

Neutrosophic Sets and Systems

No abstract provided.

Fermatean Neutrosophic Fuzzy Methodology For Teaching Quality Analysis In University Basketball Training, Yongzhi Wang, Ruifang Li, Mingtao Guo

Neutrosophic Sets and Systems

No abstract provided.

Planning Negative Emissions Technologies Portfolios Under Neutrosophic Environment,, John Frederick D. Tapia, Maria Victoria Migo-Sumagang

Neutrosophic Sets and Systems

No abstract provided.

The Role Of Student Feedback In Teaching Quality Evaluation For International Chinese Education: A Comprehensive Evaluation Approach Using Forest Hypersoft Set And Treesoft Sets, Shihai Zhang

Neutrosophic Sets and Systems

No abstract provided.

Reciprocal Fraction Function Tools Used For \-Rung Quadripartitioned Neutrosophic Sets, M. Palanikumar, Nasreen Kausar, Dina Said

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Z-Number For Measuring Teaching Effectiveness In Ideological And Political Education: A University-Level Study Based On Student Perception, Binna Li

Neutrosophic Sets and Systems

No abstract provided.

Comparison Of Conventional And Neutrosophic Methods For Statistical Power Analysis And Effect Size In Clinical Research, Vennila J, Basker P, Kripa Josten, Prakash P, Keerthi Vijayan, Menaka B, Prabu G. Raja

Neutrosophic Sets and Systems

No abstract provided.

Optimizing Blockchain Platform Selection: A Decision-Making Approach Using Llms, Type-2 Neutrosophic Numbers, Critic, And Mairca, Hend Ahmed, Abduallah Gamal, Ahmed Abdelmouty

Neutrosophic Sets and Systems

No abstract provided.

Efficient Machine Learning For Prediction Of Malicious Urls Under Neutrosophic Uncertainty Framework, Mohamed Eassa, Ahmed Abdelhafeez, Ahmed A. Metwaly, Ahmed S. Salama

Neutrosophic Sets and Systems

No abstract provided.

Smart Education In Action: Ai-Based Quality Assessment Of Journalism And Media Teaching Practices Using The Neutrosophic Cosine Similarity Measure, Feifan Wang

Neutrosophic Sets and Systems

No abstract provided.

Application Of Interval Neutrosophic Logic Model For Diagnosis Of Cattle Disease, Lola Safarova, Dilnoz Muhamediyeva, Sokhibjan Muminov, Seyyed Ahmad Edalatpanah

Neutrosophic Sets and Systems

No abstract provided.

Introducing Plithogenic Stochastic Processes With An Application To Poisson Process, Abdulrahman Astambli, Mohamed Bisher Zeina, Moustafa Mazhar Ranneh

Neutrosophic Sets and Systems

No abstract provided.

Quadripartitioned Neutrosophic Soft Pre - Open And Pre - Closed Sets, S. Ramesh Kumar, Dr. A. Stanis Arul Mary

Neutrosophic Sets and Systems

No abstract provided.

Integrating Industry Needs With Language Training From Classroom To Profession: English Translation Courses Measurement In Neutrosophic Number Operator, Yujia Guo

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Hammer Operator For Assessment Of Product Processing Quality Monitoring System In A Machining Line, Shuai Yuan

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Model For Analyzing The Effect Of The Enterprise Resource Planning Functions On Business Processes, Samah Ibrahim Abdel Aal, Mahmoud M. A. Abdellatif

Neutrosophic Sets and Systems

No abstract provided.

Exploring Neutrosophic Contra Alpha Generalized Semi-Continuous Maps, V. Banu Priya, M. Suresh, S. Chandrasekar, A. Atkinswestley

Neutrosophic Sets and Systems

No abstract provided.

Biostride - Prosthetic Charging Stand, Abigael Howard, Brett Matich, Allie Mcauliffe, Liam Harwood

Biomedical Engineering

This Final Report outlines the development of a lower limb prosthetic docking and charging station to address a critical need for individuals with unilateral transfemoral amputations who use microprocessor-controlled prosthetics. This project is focused on designing and producing a secure, accessible, and aesthetically pleasing stand to store and charge prosthetic limbs overnight, targeting the lack of commercially available, functional prosthetic storage. The absence of a functional storage solution points to a failure in meaningfully addressing the human needs of prosthetics users, exacerbating user frustration through the perpetuation of issues including prosthetics falling over into inaccessible positions, and tripping hazards due …

Force Mapping Wand For Individuals With Upper-Limb Amputations, Max Bosse, Cole Capitani, Eddie Grassini

Biomedical Engineering

Technology relating to upper-limb amputations has seen many advances in recent years, especially in terms of function and aesthetic appeal. Although these improvements exist, comfort is often a primary concern among prosthetic users and can lead to prosthetic abandonment [1]. Without a standardized method of measuring force concentrations in patients, high rates of discomfort and potential tissue damage remain. The goal of this project is to create a force mapping system for upper-limb amputees to help minimize discomfort in socket fit during the fitting process using real-time data and software to view force concentrations. To accomplish this goal, background research …

The Weaving Of Machine Learning And Artificial Intelligence Into The Fabric Of Cybersecurity Curriculum: From Degree Plan To Capstone Projects, Mahmoud K. Quweider, Liyu Zhang, Jorge Castillo, Ala Qubbaj

Informatics and Engineering Systems Faculty Publications

As our newly designed degree in Cybersecurity enters its fourth year, students in the program are starting to take courses beyond the basic ones, including senior courses, technical electives, and capstone projects. While Cybersecurity is at the heart of our degree that addresses the national need for cybersecurity specialists, how we approach the education and pedagogy of cybersecurity in the era of Big Data and AI/ML (Artificial Intelligence/Machine Learning) is a question that we are addressing in real-time as techniques and measures and countermeasures of cybersecurity attacks keep evolving and taking advantages of the rapid advancements in computing, memory, storage, …

Status And Distribution Of Diseases Caused By Phytoplasmas In Africa, Shakiru Adewale Kazeem, Agnieszka Zwolińska, Joseph Mulema, Akindele Oluwole Ogunfunmilayo, Shina Salihu, Joy Oluchi Nwogwugwu, Inusa Jacob Ajene, Justina Folasayo Ogunsola, Adedapo Olutola Adediji, Olubusola Fehintola Oduwaye, Kouamé Daniel Kra, Mustafa Ojonuba Jibrin, Wei Wei

All Peer-Reviewed Publications

Phytoplasma (“Candidatus Phytoplasma” species) diseases have been reported globally to severely limit the productivity of a wide range of economically important crops and wild plants causing different yellows-type diseases. With new molecular detection techniques, several unknown and known diseases with uncertain etiologies or attributed to other pathogens have been identified as being caused by Phytoplasmas. In Africa, Phytoplasmas have been reported in association with diseases in a broad range of host plant species. However, the few reports of Phytoplasma occurrence in Africa have not been collated together to determine the status in different countries of the continent. Thus, this paper …

Familiarity Moderates Education Level Of Stigma For Professional Efficacy Of Treating Mental Illness, Jason J. Burrow-Sanchez, Shawnda Schroeder, Thomasine Heitkamp, Brian Urlacher, Sharon Cook, Paula Bennett, Carolina Corrales

Indigenous Health Faculty Publications

Background: About one in five adults in the United States experience any mental illness (AMI) whereas 14.2 million experience serious mental illness (SMI). The perception of stigma among these individuals can be associated with care seeking behavior and treatment adherence.

Purpose: Two factors that mitigate stigma are familiarity with someone experiencing AMI/SMI and general level of education. Heretofore, these factors have not been tested together to determine if familiarity moderates the relation between level of education and stigma of professional efficacy for treating mental illness.

Methods: In fall 2020, an online survey in the state of Utah measured 1,300 adults’ …

Equiangularity From Compatible Orthobiangularity, Tyler J. Myers

Theses and Dissertations

An equiangular tight frame (ETF) is an equal norm sequence of vectors in a Hilbert space whose coherence achieves equality in the Welch bound. Such sequences necessarily have minimal coherence and thus are, in some sense, as "spread out" in space as possible. ETFs have a variety of applications, such as compressed sensing and waveform design. The main problem in the study of ETFs is determining the pairs (D, N) for which an ETF with N vectors in a D-dimensional space exists. Real ETFs are moreover equivalent to a special subset of a well-studied class of graphs known as strongly …

Constraining Nuclear Data Uncertainty Requirements For The 19F(A, N)22Na Reaction For Non-Proliferation Applications, Tyler R. M. Smith

Theses and Dissertations

This thesis explores the requirements on nuclear data uncertainties needed for the use of the ¹⁹F(α, n)²²Na reaction for nuclear non-proliferation applications. An overview of how neutrons are produced from alpha decays in a UF₆ medium is discussed. Calculation demonstrate the role nuclear data uncertainties effect the neutron yield and energy spectra as a function of enrichment.

Isotope Production Modeling In Sodium-Cooled Fast Reactors, Aaron W. Burkhardt

Theses and Dissertations

The accurate prediction of isotopic compositions in Sodium-Cooled Fast Reactors (SFRs) is essential for nuclear forensic analyses and international nuclear treaty monitoring, particularly with the increased global deployment of Generation-IV reactors. This research developed and validated a detailed computational model tailored specifically to the Prototype Fast Breeder Reactor (PFBR), employing advanced Monte Carlo neutron transport methods, sophisticated burnup modeling, and variance reduction techniques. Validation against empirical data from the Experimental Breeder Reactor-II confirmed the model’s accuracy, producing a comprehensive database of isotopic compositions across 301 assembly locations and 580 isotopes through the reactor’s initial operation and equilibrium cycle. The model …

Rotating Scatter Mask System Optimization Study For Determining Optimal Image Recreation, Seth L. Grover

Theses and Dissertations

The Rotating Scatter Mask (RSM) system is a radiation imaging technology currently limited by the mask design and governing identification algorithm parameters. To optimize the RSM design, Dakota—an optimization software—was integrated with a ray tracing code that simulates particle interactions with the RSM detector, and with the Locally Competitive Algorithm (LCA), which reconstructs the source image based on the ray tracing code’s Detector Response Matrix (DRM). Since the original ray tracing code was developed in MATLAB, it was translated into Python to improve compatibility with both Dakota and LCA. The Python version of the ray tracing code was then integrated …

Contract Quality Feature Extraction Using Llm, Aaron C. Washington

Theses and Dissertations

This study explored the potential insights generated from linguistic complexity measurements and large language model (LLM) based assessments on the quality of contract documents. By combining structured True/False prompts with log-probability analysis and ambiguity scoring, the study introduced novel contract-quality assessment methods. Results support a feature-driven approach to contract evaluation, one that offers automated, scalable insights for triaging risk and improving drafting practices. These assessment methods contribute to the growing field of legal natural language processing by offering modular tools for effective contract analysis.