Digital Commons Network^™

Plasma Diagnostics For Anode Cathode Plasmas And High Energy Density Physics On A Linear Transformer Driver, Robert Beattie-Rossberg

Electrical and Computer Engineering ETDs

A twelve-brick air insulated linear transformer driver (LTD) was characterized by charging to voltages ranging from 30 to 70 kV and delivering energy to two separate resistive loads. Various plasma diagnostics were built and fielded with an emphasis on the design, implementation and analysis of a Mach Zehnder interferometer, a moiré deflectometer and a spectroscopy system providing information on the temporal evolution of plasma electron density and atomic composition. Rogowski coils, XRD radiation detectors, framing camera images and time integrated DSLR images are used to further understand load conditions where current data, x ray radiation data, velocity data and instability …

Ml/Ai Enabled Intelligent Next Generation Autonomous Network System: Performance Enhancement And Management, Harsh Kumar

Electrical and Computer Engineering ETDs

The smart next generation autonomous system for network performance enhancement and management, specifically suitable for networks like 5G, B5G, 6G, and SDN, is presented in this PhD dissertation powered by ML/AI. The dissertation has been divided into six critical parts. First, it focuses on QoS monitoring and provisioning using intelligent QoS agent design in 6G network. Second, it elaborates on LSTM and SP-LSTM comparative analysis towards network traffic prediction in 6G networks. Third, digging into 6G frontier navigation using SE-DO for intelligent Agent Optimization. Fourth, the dissertation delves into role delegation function as a service to improve reliability and latency …

A New Effective Gravitational Lensing Approach To Constrain Dark Matter, Birendra Dhanasingham

Physics & Astronomy ETDs

Galaxy-scale strong gravitational lenses offer a unique window into understanding the nature and distribution of dark matter at sub-galactic scales. Beyond the main-lens subhalos, the inclusion of line-of-sight dark matter halos has become essential in lens studies due to their substantial role in perturbing lensed images, making multi-plane lensing a crucial aspect of any lens study. We highlight that these line-of-sight halos appear extended tangentially along the lensing critical line in the effective convergence maps due to the nonlinear nature of multiplane lensing, resulting in a characteristic anisotropic signature in the deflection field. Leveraging tools from large-scale structure analyses, this …

On Properties Of Pair Operations, Sarah Jane Poiani

Mathematics & Statistics ETDs

For any closure operation $\cl$ and interior operation $\ri$ on a class of $R$-modules, we develop the theory of $\cl$-prereductions and $\ri$-postexpansions. A pair operation is a generalization of closure and interior operations. Using Epstein, R.G. and Vassilev's duality \cite{ERGV-nonres}, we show that these notions are in fact dual to each other. We discuss the relationship between the core and hull and prereductions and postexpansions. We further the thematic notion of duality and seek to understand how it arises in the context of properties pair operations can be endowed with and focus on inner product spaces and properties demonstrated by …

Mathematically Rigorous Deep Learning Paradigms For Data-Driven Scientific Modeling, Owen Nicholas Davis

Mathematics & Statistics ETDs

This dissertation explores the crucial role of data-driven modeling in science and engineering, with a focus on developing surrogate models to accelerate large-scale computational tasks, aiding in both outer-loop functions like uncertainty quantification and expensive inner-loop tasks within broader computational frameworks. Challenges arise with increased problem dimension and sparse, noisy training data, particularly significant when constructing surrogates for very expensive computational models where acquiring sufficient high-fidelity training data is unfeasible. In such scenarios, training surrogates from an ensemble of multifidelity information sources of varying accuracy and cost becomes essential. We emphasize neural network-based modeling paradigms, which are flexible in integrating …

A Precise Measurement Of The Lifetime Of B-Mesons, Measurement Of Cp-Violation Parameters Of Bs-Mesons, The Atlas Experiment At The Lhc, And Development Of Silicon Detectors For Future Particle Physics Experiments, Easwar Anand Narayanan

Physics & Astronomy ETDs

A series of connected research projects has been carried out for the purpose of seeking physics phenomena beyond the Standard Model. These consist of a precise measurement of the lifetime of a short-lived b-hadron, the B_d-meson; preparations for measurements of CP-violating parameters in B_s decays; development of triggers that select b-hadron events; development of new instruments for improved precision in detecting fundamental particles; and monitoring and mitigating the effect of radiation on the detectors, which is inescapable in their operating environment. Datasets collected by the ATLAS detector at the Large Hadron Collider (LHC) are used for …

Quantum Computation Using Large Spin Qudits, Sivaprasad Thattupurackal Omanakuttan

Physics & Astronomy ETDs

This dissertation explores quantum computation using qudits encoded into large spins, emphasizing the concept of quantum co-design to harness the unique capabilities of physical platforms for enhanced quantum information processing. First, we delve into the generation of high-fidelity universal gate sets for quantum computation with qudits. Leveraging principles from quantum optimal control, Rydberg physics, and the atomic structure of alkaline-earth atoms, we propose protocols for high-fidelity universal gate sets in the ground state of ⁸⁷Sr with reasonable experimental parameters. Next, we analyze schemes to encode a qubit in the large spin qudits for fault-tolerant quantum computation (FTQC). By comprehending …

Improving Criticality Safety Benchmark Coverage By Developing A Benchmark Evaluation Of The Unm Agn-201m Reactor, Rowdy Davis

Nuclear Engineering ETDs

This research aimed to improve the benchmark coverage of the International Criticality Safety Benchmark Evaluation Project (ICSBEP) handbook and the International Reactor Physics Experiment Evaluation Project (IRPhEP) with respect to High-Assay, Low-Enriched Uranium Fuel (HALEU). This was accomplished by creating a benchmark of the University of New Mexico’s Aerojet General Nucleonics model 201-M reactor and submitting it to the ICSBEP. This research then aimed to quantify to what extent this benchmark improves coverage of the benchmark suites for HALEU and TRISO fuel applications. This investigation utilized WHISPER, TSUNAMI-IP, and TSURFER with 36 application cases developed in SCALE and 2,929 experiments …

Presidential Unilateralism In Contemporary U.S. Trade Policymaking: An Analysis Of The Section 232 Tariff Exclusion Process By The Trump Administration, Miao Wang

Political Science ETDs

On March 1, 2018, President Trump declared a 25% tariff on certain steel imports by invoking Section 232 of the 1962 Trade Expansion Act. Despite the extraordinary tariff measure, my research with logit regression and negative binomial regression analysis finds that the Trump Administration in its tariff exclusion process favored constituencies with a higher share of the president’s supporters and allowed import products from China more likely to receive the exclusions. I argue that the Trump Administration took these contradictory trade actions to achieve multiple goals at the same time: to pressure foreign trade partners and to protect vulnerable domestic …

Narrative Research: You Did What With Technology? Exploring Student Narratives Of Technology At A Research-Based University In The Southwest, Alma M. Sanchez

Teacher Education, Educational Leadership & Policy ETDs

This qualitative study examined the impact of high school instructional technology on college students' academic strategies. It examined the historical and modern advancements of technology in education, uncovering significant milestones in technology integration within classrooms in the United States. Using a narrative inquiry approach grounded in John Dewey's philosophy of experience, it centered on the narratives of students in their second and third semesters of college. The study highlighted the gap in understanding students’ personal experiences with technology and emphasized the role their narratives play in shaping future technology integration strategies.

The methodology involved utilizing digital surveys and online semi-structured …

Language, Literacy, & Sociocultural Studies, Unm Academic Program Review

UNM Academic Program Review

UNM Department of Language, Literacy & Sociocultural Studies self-study & review team report for Spring 2024, fulfilling requirements of Higher Learning Commission.

Remote Sensing Techniques To Determine Volcanic Gas Components And Fluxes: Application For Lascar, Chile And Fagradalsfjall, Iceland Volcanos., Felipe S. Rojas Vilches

Earth and Planetary Sciences ETDs

Volcanic plumes allow us to understand different aspects of a volcanic system including magma movements, dynamics, mass transfer, overall gas emissions to the atmosphere, and many processes that impact human life. However, the H₂O gas is poorly constrained due to the intrinsic difficulties of this gas, with high background values and easily dispersed/integrated into the background. In this work we study the gas emissions from Lascar volcano, and Fagradalsfjall volcano, in Chile and Iceland, respectively, using a combination of different ground-based remote sensing techniques and in situ plume measurements, we measure H₂O, SO₂, CO₂, CO, and H₂S from longer and …

A Generalization Of Neutrosophic Metric Space And Related Fixed Point Results, Fahim Ud Din, Umar Ishtiaq, Lakhdar Ragoub, Khalil Javed, Muhammad Arshad

Neutrosophic Sets and Systems

Neutrosophic set is a generalization of classical sets, fuzzy set, intuitionistic sets etc. A mathematical notion neutrosophic set dealing issues containing inconsistent, indeterminate and imprecise data. In this manuscript, we toss the notion of Neutrosophic b-metric-like spaces and obtain some fixed point results in the sense of Neutrosophic b-metric-like spaces. Our results are improvements of recent results in the existing literature. For the validity of these results some non-trivial examples are imparted.

N-Closure And N-Interior In Neutrosophic Topological Spaces, K. Damodharan, M. Vigneshwaran

Neutrosophic Sets and Systems

Toplology greatly bene ts from the concept of-cloure. Its quiet nature to extended its proper ties in other topological spaces. So, with the concept of quasi-coincidence Ganguly and Saha pioneered and extensively examined the notion of-closure within the domain of fuzzy topological spaces.(FTS). The theory of-closure in intuitionistic fuzzy topological spaces (IFTS) was further extended by Seok Jong Lee and Yeon Seok Eom. In this work, the notion of N-closure in Neutrosophic Topological Spaces (NTS) is put forward and discussed.

Analysis Of Neutrosophic Set, Julia Set In Aircraft Crash, M.N. Bharathi, G. Jayalalitha

Neutrosophic Sets and Systems

A neutrosophic fuzzy set that generalizes the classical set is represented by a closed interval [0,1]. Let us generalize the fuzzy set to the Neutrosophic set, which is defined as three membership functions between interval]-0,1+ [. This paper examines the bird collision problem within a more grounded Neutrosophic framework. The collision between the bird and the aircraft is represented in the Neutrosophic domain as a stationary point because it occurs at a distance too great for any other auditory signal to discern. Numerous methods exist for solving the airplane problem, including a Julia set in complex numbers. Bird collisions resulting …

Neutrosophic Sets And Systems, Vol. 66,2024, Florentin Smarandache, Mohamed Abdel-Basset, Said Broumi

Neutrosophic Sets and Systems

No abstract provided.

Heat Mitigation Impacts Of Agriculture, Greenspace, And Riparian Forest In Albuquerque, New Mexico, Brennan Davis

Water Resources Professional Project Reports

Albuquerque, New Mexico, alongside the larger American desert Southwest, is already living the reality of climate change – temperatures have risen faster than the global average and, left unchecked, will continue to rise at an ever-increasing pace (NOAA 2022, Garfin et al. 2014). Alongside this disproportionate warming, the Southwest has experienced worsening drought which further stresses an already arid system (White et al. 2023, Dunbar et al. 2022). At the intersection of these changes lie a myriad of interrelated consequences for both ecosystems and communities. The urban heat island effect is one of many such consequences and is responsible for …

Neutrosophic Cognitive Maps For Clinical Decision Making In Mental Healthcare: A Federated Learning Approach, Jagan M. Obbineni, Ilanthenral Kandasamy, Madhumitha Ramesh, Florentin Smarandache, Vasantha Kandasamy

Neutrosophic Sets and Systems

Due to data privacy concerns and a lack of broadly applicable modelling approaches, mental health prediction encounters substantial challenges. This research introduces a pioneering decentralized framework integrating federated learning with Neutrosophic Cognitive Maps (NCMs) to facilitate secure and accurate mental health predictions while preserving data privacy. This innovative approach allows collaborative NCMs training on sensitive patient data across diverse sites without centralizing or transferring the data. The NCMs incorporated into the framework effectively model relationships between various symptoms and mental health states, offering interpretable insights into the complex dynamics of mental health. To address the limitations of local data availability, …

Integration Between Bioinformatics Algorithms And Neutrosophic Theory, Romany M. Farag, Mahmoud Y. Shams, Dalia A. Aldawody, Huda E. Khalid, Hazem M. El-Bakry, Ahmed A. Salama

Neutrosophic Sets and Systems

This paper presents a neutrosophic inference model for bioinformatics. The model is used to develop a system for accurate comparisons of human nucleic acids, where the new nucleic acid is compared to a database of old nucleic acids. The comparisons are analyzed in terms of accuracy, certainty, uncertainty, neutrality, and bias. The proposed system achieves good results and provides a reliable standard for future comparisons. It highlights the potential of neutrosophic inference models in bioinformatics applications. Data mining and bioinformatics play a crucial role in computational biology, with applications in scientific research and industrial development. Biological analysts rely on specialized …

Neutrosophic Inventory System For Decaying Items With Price Dependent Demand, R. Surya, M. Mullai, G. Vetrivel

Neutrosophic Sets and Systems

This study presents an empirical investigation of a specific problem in inventory control, notably the manage ment of decaying commodities with demand that is influenced by price. The approach taken in this research incorporates the effective use of trapezoidal neutrosophic numbers. The present model is employed for the objective of finding the neu trosophic optimal total cost and neutrosophic optimal interval of time for the inventory system. Defuzzification process is done with the help of signed distance method. Moreover, a mathematical evaluation is conducted in order to assess the stated model, and the findings are elucidated through the use of …

Decision Making By Neutrosophic Over Soft Topological Space, R.Narmada Devi, Yamini Parthiban

Neutrosophic Sets and Systems

The empirical correlation system serves as a crucial tool for unveiling the linear interconnections between two variables. Its significance lies in providing a prominent approach to depict a straightforward relationship without explicitly indicating a causal link between the sets involved. In the current research, an innovative concept of correlations is introduced specifically for Neutrosophic Over Soft Sets (No s-sets). This novel framework involves a meticulous examination of basic definitions and operations associated with Neutrosophic Over Soft Sets. Furthermore, the study extends to the introduction of a groundbreaking concept: a topological space integrated with Neutrosophic Over Soft Sets (No s-sets). This …

Translation Of Neutrosophic Ink-Algebra, Wadei Faris Al-Omeri, M Kaviyarasu, M Rajeshwari

Neutrosophic Sets and Systems

This study investigates the philosophical foundations of the neutrosophic set(NS), as rst proposed by Smarandache. It clari es the connection between single-valued Nss and their function as a specialized subset in the larger context of Nss, particularly in the elds of science and engineering. This paper investigates neutro sophic INK-ideals(NINK-Is) within INK-algebras(INK-A) by using the notion of translation, which is positioned as an extension of intuitionistic fuzzy sets. The notion of translation neutrosophic INK-algebras(NTINK-A) is introduced and their fundamental characteristics are explored. In addition, properties associated with the translation of INK-subalgebra(INK-Ss) and INK-ideals(INK-I) are investigated, along with the dynamics of …

The Problem Of Planning Neutrosophic Hydropower Systems (Converting Some Nonlinear Neutrosophic Models Into Linear Neutrosophic Models), Maissam Jdid

Neutrosophic Sets and Systems

The core of operations research activity focuses on creating and using models. These models may be linear models, non-linear models, dynamic models, and others. Linear models are considered one of the most important and most widely used operations research models due to the availability of appropriate algorithms through which we can obtain the optimal solution, which prompts us to benefit from the nature of the topic under study and the information available to us about the variables in it to transform it into linear models. In classical logic, many nonlinear programming problems have been processed and transformed into linear programming …

Exploring Neutrosophic Linear Programming In Advanced Fuzzy Contexts, Shubham Kumar Tripathi, Arindam Dey, Said Broumi, Ranjan Kumar

Neutrosophic Sets and Systems

A neutrosophic set is a mathematical framework that extends fuzzy and intuitionistic sets to han dle indeterminate or contradictory information using three components: truth, falsity, and indeterminacy membership degrees which deal with handling indeterminate, imprecise, and uncertain data, while Extended Fuzzy Theory extends the standard fuzzy set theory to manage more intricate membership degrees. The pri mary objective of this review is to thoroughly investigate and summarize the existing literature on trapezoidal neutrosophic environments, particularly focusing on aspects such as the NFMOLP Problems in SVTpN envi ronments. Ultimately, this comprehensive review article aims to enhance the understanding of the potential …

Logarithmic Similarity Measure Of Neutrosophic Z-Number Sets For Undergraduate Teaching Quality Evaluation, Wen-Ping Chen, Yi-Ming Fang, Wen-Hua Cui

Neutrosophic Sets and Systems

In practical decision-making problems, the different reliability levels of decision-makers in their evaluation information are usually ignored by most existing decision-making methods. Then, a neutrosophic Z-number (NZN) is a powerful model for simultaneously describing the restraint and associated reliability of evaluation information in view of truth, indeterminacy, and falsity Z-numbers. This paper first proposed a logarithmic similarity measure (LSM) of NZN sets, which is more flexible and can change its measure result by adjusting the exponential parameters of the restraint and reliability. Then, a multi-attribute decision-making approach is developed based on the presented LSM of NZN sets, and its applicability …

Analyzing The Income-Education Nexus In Ecuador: A Neutrosophic Statistical Approach, Guido Macas-Acosta, Juan-Antonio Jimber-Del-Río, Fidel Márquez-Sánchez, Arnaldo Vergara-Romero

Neutrosophic Sets and Systems

This study examines the relationship between education and entrepreneur income in Ecuador, a prototypical small economy grappling with employment challenges. Utilizing quantile regression and neutrosophic statistical methods, the research uncovers varied impacts of education on earnings across different income levels. The findings reveal a decrease in indeterminacy as individuals ascend income quintiles, indicating that higher education levels yield more predictable and substantial economic returns at the upper end of the income spectrum. These insights are vital for policymakers to develop targeted educational interventions. The study’s methodological novelty lies in its adoption of neutrosophic statistics, which embraces the indeterminacy intrinsic to …

An Efficient Neutrosophic Type-2 Model For Selecting Optimal Internet Of Things (Iot) Service Provider: Analysis And Applications, Ibrahim Alrashdi

Neutrosophic Sets and Systems

The Internet of Things, or IoT, is a rapidly expanding technology, and one of its most important application areas is sustainable transportation. Choosing the right IoT service provider is a complex process that is considered a multi-criteria decision issue. The multi-criteria decision-making (MCDM) methodology deals with massive criteria. This study proposed an MCDM methodology for selecting the best IoT service provider under different sustainable criteria. The Multi-Objective Optimization Ratio Analysis (MOORA) method is an MCDM methodology used to rank the alternatives. The MOORA method is integrated with a type 2 neutrosophic set to deal with uncertain information. The proposed MCDM …

Investigating The Structural Ensemble And Dynamic Interactions Of Protein Interacting With C-Kinase 1 (Pick1) Using Computational Tools, Amy E. Stevens

Chemistry and Chemical Biology ETDs

Protein Interacting with C Kinase-1 (PICK1) is a scaffolding protein that offers a promising solution to support individuals suffering from substance use disorders. While many efforts have been put towards identifying small-molecule drugs with the potential to target PICK1 and ultimately support individuals suffering from the effects of substance use disorders, all efforts have so far fallen short. The purpose of this work is to use computational tools to assist the design of a small-molecule inhibitor of PICK1 while also advancing the knowledge of its biological functions. This work provides information that is currently missing the field by (1) revealing …

Evaluation Of Sustainable Waste Valorization Using Treesoft Set With Neutrosophic Sets, Ali Alqazzaz, Karam M. Sallam

Neutrosophic Sets and Systems

This study proposed a neutrosophic set framework with TreeSoft Set for sustainable waste valorization selection. The neutrosophic set is used to overcome uncertainty and vague information in the evaluation process. The neutrosophic set has three membership degrees: truth, indeterminacy, and falsity. The multi criteria decision-making (MCDM) methodology deals with various criteria to evaluate waste valorization. The VIKOR method is an MCDM method used to rank the alternatives. The numerical example was created with 12 criteria and 10 alternatives. Three decision-makers and experts are invited to evaluate the requirements and options. We used the bipolar neutrosophic numbers to replace the opinions …

A Python Framework For Neutrosophic Sets And Mappings, Giorgio Nordo, Saeid Jafari, Arif Mehmood, Bhimraj Basumatary

Neutrosophic Sets and Systems

In this paper we present an open source framework developed in Python and consisting of three distinct classes designed to manipulate in a simple and intuitive way both symbolic representations of neu trosophic sets over universes of various types as well as mappings between them. The capabilities offered by this framework extend and generalize previous attempts to provide software solutions to the manipulation of neutrosophic sets such as those proposed by Salama et al. [21], Saranya et al. [23], El-Ghareeb [7], Topal et al. [29] and Sleem [26]. The code is described in detail and many examples and use cases …