Digital Commons Network^™

Crustal Structure And Evolution Of The Queen Charlotte Plate Boundary, Collin C. Brandl

Earth and Planetary Sciences ETDs

There are many outstanding questions in plate tectonics that remain unanswered because large regions of the Earth are unexplored, both at the surface and in the subsurface. In this dissertation, I processed and analyzed active source seismic reflection data from the historically understudied Queen Charlotte transform plate boundary. Using this dataset, I found that the southern segment of the plate boundary has active underthrusting, is analogous to subduction zone crustal slivers, and is a site of early subduction initiation. Along the entire plate boundary, I constrained the near-surface thermal gradient using the stability of gas hydrate, finding that it is …

Impact Of Shale Oil And Gas Exploration In The Permian Basin: Public Finances, House Prices, Migration, And Household Income, Bamadou Ouattara

Economics ETDs

This dissertation examines the impacts of shale oil and gas exploration in the Permian Basin, focusing on housing, socio-demographics, petroleum exploration, and environmental effects. It addresses three key research areas: New Mexico's public finances, inter-county migration and household income, and the influence on house prices.

The introductory chapter reviews the boomtown impact model and advocates for its adaptation to current social, economic, and financial landscapes. The second chapter analyzes New Mexico's public finances from 2010-2021, emphasizing oil and gas tax revenues and the need for financial prudence due to industry volatility.

The third chapter uses causal effect techniques to assess …

Neutrosophic Regular Rings And Properties Of Their Ideals, Murhaf Riad Alabdullah

Neutrosophic Sets and Systems

The goal of the research is to discover the required and sufficient conditions for ��(��) to be a neutrosophic regular as well as the properties of the neutrosophic ideals in the neutrosophic regular ring. Despite differences in the form of the elements and ideals in neutrosophic and classical rings, we discovered that the necessary and sufficient requirements for the classical ring to be regular also apply to neutrosophic rings.

Developing Neutrosophic Cubic Spherical Fuzzy Sets Along With Their Exponential Aggregation Operators For Decision-Making Problems, Monika Yadav, Rakesh Kumar Bajaj, Aman Sharma

Neutrosophic Sets and Systems

In this article, we have devised the notion of neutrosophic cubic spherical fuzzy sets (NCSFSs) for the first time and discussed their basic binary operations along with important properties. This proposition has been framed superimposing the existing notions of spherical neutrosophic set (SNS) as well as the interval-valued neutrosophic spherical fuzzy set (IVNSFS). This proposition computationally helps in handling incompatible situations where each element has been addressed by truth, indeterminacy, and false membership values. Next, some important exponential operational laws have been relationally established for NCSFSs, highlighting their significant properties. Furthermore, to address decision-making challenges in the NCSFS environment, we …

Finding Minimal Units In Several Two-Fold Fuzzy Finite Neutrosophic Rings, Raed Hatamleh, Ayman Hazaymeh

Neutrosophic Sets and Systems

In this paper, we have defined the concept of minimal units in finite two-fold fuzzy neutrosophic rings modulo integers as a generalization of classical elements of the group of units of the mentioned neutrosophic rings. We apply our results to characterize all minimal units in the following two-fold neutrosophic rings (����(��)) ���� for �� ∈ {2,3,4,5}.

Magdm Technique Based On Linguistic Neutrosophic Tangent Dombi Aggregation Operators And Its Application In Selecting New Energy Design Schemes, Lu Niu, Jun Ye

Neutrosophic Sets and Systems

In linguistic decision theory, multi-attribute group decision-making (MAGDM) of linguistic neutrosophic numbers (LNNs) is one of the crucial research topics. Existing LNN aggregation algorithms do not consider trigonometric periodicity. In this case, they cannot perform MAGDM problems including periodic/multitemporal applications in LNN scenarios. To fill this gap, this article aims to present a MAGDM technique using the LNN tangent Dombi aggregation operators (TDAOs) for addressing MAGDM issues including multitemporal/periodic applications in LNN scenarios. First, we present the linguistic tangent Dombi t-norm and t-conorm and the LNN tangent Dombi operation laws. Second, we propose the LNN tangent Dombi weighted average and …

Operations With N-Refined Literal Neutrosophic Numbers Using The Identification Method And The N-Refined Ah-Isometry, Florentin Smarandache, Mohammad Abobala

Neutrosophic Sets and Systems

If we know the determinate and sub-indeterminate part(s) of an argument a0  a1I1  a2I2 ... anIn how do we similarly find the determinate and sub-indeterminate part(s) of a function (or operation) of this argument 0 1 1 2 2 ( ... )? n n f a  a I  a I   a I The AH-Isometry is designed to do just that. The function f may be of one or more variables (arguments), it may also be some unary or n-ary operation. Real examples are presented in this paper of such arguments and functions. We now …

An Adaptive Neutrosophic Large Neighborhood Search And Its Application, Jun Jiang, Fangwei Zhang, Yiying Pan, Rui Wang, Zhu Han

Neutrosophic Sets and Systems

the improvement degree in the new solution, which causes fuzziness and uncertainty in the operator score. To solve the aforementioned problem, the main innovation of this study is to propose an adaptive neutrosophic large neighborhood search (ANLNS). Specifically, the main work is as follows. Firstly, the number of times each operator scores are quantified by constructing NSs, thereby analyzing algorithm performance and preventing the idealization of scores. Secondly, a novel neutrosophic utility function and score function are proposed to assign an appropriate score for the operator within a reasonable interval. Finally, the effectiveness and robustness of the proposed ANLNS is …

The Indefinite Integrals Of Refined Neutrosophic Trigonometric Functions, Yaser Ahmad Alhasan, Florentin Smarandache, Mohamed Elghazali Ali Mohamed, Raja Abdullah Abdulfatah

Neutrosophic Sets and Systems

in this paper, we presented the indefinite integrals of refined neutrosophic trigonometric functions, where we discussed the integrals by distinguishing several cases of these types of refined neutrosophic integrals. Also, we introduced the refined neutrosophic trigonometric identities, which makes it easier for us to find these types of integrals. In addition, to supporting this with appropriate examples.

Utilizing New Temporal Complex Neutrosophic Aczel-Alsina Aggregation Operators For Multi-Criteria Decision Making: An Application To Tourist Destination Selection, Le Mai Trang, Nguyen Tho Thong, Nguyen Thi Lan Nhi

Neutrosophic Sets and Systems

The Temporal Complex Neutrosophic Set (TCNS) is a powerful extension of the Neutrosophic theory, and TCNS has added advantage to represents uncertain, indeterminate, inconsistent and time related factors. In the literature TCNS has been used for multi-criteria decision-making problems, especially in the time-aware systems. In order to tackle effectively decision-making problems in the TCNS environment effectively, it is crucial to make suite aggregation operators that enable decision makers to process preferences in a nuanced manner. In this paper, we introduce novel TCNS aggregation operators based on Aczel and Alsina t-norm and t-conorm using Aczel-Alsina operations, and we propose a multi-criteria …

Ed Point Results In Neutrosophic B- Metric Like Spaces, Pandiselvi M., Jeyaraman. M.

Neutrosophic Sets and Systems

In this manuscript we introduce the idea of Neutrosophic b-metric like spaces along with numerous significant illustrations. Moreover, we present numerous fixed point results in Neutrosophic b-metric like space and we gave some examples to support our main results.

Generalized Symmetric Fermatean Neutrosophic Fuzzy Matrices, M. Anandhkumar, A. Bobin, S. M. Chithra, V. Kamalakannan

Neutrosophic Sets and Systems

This study explores a new type of matrix called a range-symmetric Fermatean neutrosophic fuzzy matrix (FNFM), inspired by the concept of range-Hermitian matrices. We demonstrate that all FNFMs inherently possess a specific property we term "Pythagorean neutrosophic fuzzy," (PNFM) but the reverse is not always true. Furthermore, we delve into graphical representations of FNFMs with specific symmetry properties (kernel-symmetric (KS), column symmetric, and range-symmetric (RS)) and show that these properties hold for all isomorphic graphs. The study goes on to establish equivalent characterizations for range-symmetric FNFMs and identify conditions for KS FNFMs. We introduce a novel concept: k-KS and RS …

Operators Based On Multiple Generalized Set-Valued Neutrosophic Quadruple Sets, Abdullah Kargın, Memet Şahin, Kübra Arıtı Şiğva

Neutrosophic Sets and Systems

In this study, as a generalized form of multiple valued neutrosophic numbers and neutrosophic quadruple numbers, multiple generalized set-valued neutrosophic quadruple numbers and sets are defined and their basic properties are given. Thus, a new structure is obtained in which multi-valued neutrosophic sets and neutrosophic quadruple sets are used together. Also, optimistic union, pessimistic union, average union, pessimistic intersection, optimistic intersection, average intersection operators are defined for multiple generalized set-valued neutrosophic quadruples. Thus, multiple generalized set-valued neutrosophic quadruple sets were made usable in decision-making applications. Researchers can obtain more objective results in decision making applications by using these operators.

Some Operators For Interval Generalized Set Valued Neutrosophic Quintuple Numbers And Sets, Memet Şahin, Abdullah Kargın, Damla Yalva

Neutrosophic Sets and Systems

In this study, some constructions related to interval generalized set-valued neutrosophic quintuple sets and score and certainty functions are given. Moreover, optimistic union, pessimistic union, mean union, optimistic intersection, pessimistic intersection and mean intersection operators are defined for interval generalized set-valued neutrosophic quintuple set. Thus, interval generalized set-valued neutrosophic quintuple set are effectively used in decision making applications. An example application was realised using these operators and functions. With this application, the use of operators and functions in decision making methods was demonstrated. In addition, it was concluded that similar or different results can be obtained by using different operators. …

Trf-Bwm-Neutrosophic-Topsis Strategy Under Svns Environment Approach And Its Application To Select The Most Effective Water Quality Parameter Of Aquaponic System, Pragnaleena Debroy, Priyanka Majumder, Surapati Pramanik, Lalu Seban

Neutrosophic Sets and Systems

The rapid emergence of aquaponics presents a promising solution for food production in arid regions, heavily reliant on maintaining optimal water quality parameters for overall success. However, monitoring and controlling these parameters can be complex and costly, involving numerous sensors and actuators. Focusing on the most significant parameter for fish growth could alleviate some of this complexity and promote sustainability by ensuring a balanced system. This study introduces a novel fuzzy-based Multiple Criteria Decision Making (MCDM) methodology, combining Trapezoidal Fuzzy with the Best Worst Method (BWM) and Neutrosophic-TOPSIS strategy, to identify the primary water quality parameters impacting fish growth. Through …

Harmonic Mean Operator Based Madm-Strategy Under Svpn-Set Environment, Bimal Shil, Suman Das, Rakhal Das, Binod Chandra Tripathy

Neutrosophic Sets and Systems

By using single-valued pentapartitioned neutrosophic set (briefly SVPN-set), one can express uncertainty events having incomplete, indeterminate, and erroneous information in practical applications. This study's primary goal is to present a multi-attribute decision-making (briefly MADM) algorithm that operates in the SVPN-set environment using the notion of single-valued pentapartitioned neutrosophic harmonic mean (briefly SVPNHM) operator and single-valued pentapartitioned neutrosophic weighted harmonic mean (briefly SVPNWHM) operator. Further, we provide a numerical illustration here like, “Location Selection for Installation of Outdoor Air Purifier” to validate the effectiveness and rationality of the proposed MADM algorithm.

A New Development Of Entropy And Similarity Measures In Temporal Complex Neutrosophic Environments For Tourist Destination Selection, Luong Thi Hong Lan, Nguyen Tho Thong, Nguyen Long Giang, Florentin Smarandache

Neutrosophic Sets and Systems

In human existence, making decisions is a common event. Various techniques have been devised to tackle decision-making troubles in practical situations. Over the past ten years, a great deal of study has concentrated on quantifying the degree of ambiguity and unpredictability in knowledge using the concept of neutrosophic sets or extensions thereof. An efficient framework for handling information in decision-making problems involving uncertain, indeterminate, and time-related aspects is the Temporal Complex Neurosophic Set (TCNS). Measures of entropy and similarity can be helpful for evaluating data to solve multicriteria decisionmaking (MCDM) challenges in practical situations. However, TCNS information measurements were of …

Statistical Convergence Sequences In Neutrosophic Metric Spaces, J. Johnsy, M. Jeyaraman

Neutrosophic Sets and Systems

In this study, motivated by the notion of statistical convergence in intuitionistic fuzzy metric space, we present the ideas of statistical convergence and cauchy sequences with regard to the neutrosophic metric spaces. This study also discusses the statistical completeness on neutrosophic metric space with an example and results.

Total Domination In Uniform Single Valued Neutrosophic Graph, T. P. Sreelakshmi, K. Uma Samundesvari

Neutrosophic Sets and Systems

In graph theory, the neutrosophic graph is a new extension of the intuitionistic fuzzy graph and fuzzy graph. It offers greater accuracy and flexibility in scheduling and implementing numerous real-life issues. The introduction of neutrosophic graphs has opened up an excellent opportunity to portray real-world situations with incomplete and ambiguous information. These neutrosophic graph models are used in many industrial and scientific domains to simulate various problems. This article offers a new approach for calculating the total dominating set of a given single-valued neutrosophic graph using neutrosophic strong arcs. An example is illustrated for calculating the total dominating sets of …

Kalman Bucy Filtered Neuro Fuzzy Image Denoising For Medical Image Processing, Mohanapriya G., Muthukumar S., Santhosh Kumar S., Shanmugapriya M. M.

Neutrosophic Sets and Systems

Neutrosophic sets (NS) have referred to as interval fuzzy sets applied in minimizing the uncertainty and fuzziness in computer-vision and machine-learning communities and hence employed for several applications. As far as medical image processing applications are concerned NSs are obtained as an important technique for de-noising. Also, fuzzy segmentation with machine and deep learning is determined as a familiar procedure that splits input image into distinct regions for precise learning. Several research works conducted in different image-processing domains. However, less works was focused on denoising and segmentation of medical image processing with minimal time complexity and accuracy. In this work …

Identification Of Most Impact Factors Of Cibil Score Using Fermatean Neutrosophic Dombi Fuzzy Graphs, P. Chellamani, R. Sundareswaran, M. Shamugapriya, Said Broumi

Neutrosophic Sets and Systems

Graph theory plays a vital role in modeling real-world scenarios like network security and expert systems. Various extensions of graph theoretical conceptions have been designed for addressing uncertainty in graphical network scenarios. The concept of Fermatean Neutrosophic Dombi Fuzzy Graphs (FNDFgraphs) represents a novel and innovative extension in graph theory, combining the principles of Fermatean Neutrosophic fuzzy graphs and the Dombi operator. FNDFGs enhances the representation and analysis of uncertain rela- tionships in a graph also it o ers a more comprehensive and exible approach to modeling uncertainty in graph structures. The main objective of this present research study focused …

On The Solutions Of Some Different Types Of Two-Fold Fuzzy And Neutrosophic Differential Equations, Nawar Hazim Mohammed

Neutrosophic Sets and Systems

This paper is dedicated to studying for the first time the concept of two-fold differential equations of different orders and different types, where we present the solutions for twofold fuzzy differential equations, and for two-fold neutrosophic differential equations. Also, we illustrate many numerical examples to clarify and explain the novelty of this work.

Assessment Of Three Strategies For Teaching An Ai Literacy Program, Based On A Neutrosophic 2-Tuple Linguistic Mod-El Hybridized With The Aras Method, Víctor Gustavo Gómez-Rodríguez, Raidell Avello-Martínez, Tomasz Gajderowicz, Noemí Bá-Rbara Delgado Álvarez, Johanna Irene Escobar Jara, Noel Batista Hernández, Segress García Hevia, Daniel D. Iturburu Salvador

Neutrosophic Sets and Systems

This study analyzes some general Artificial Intelligence competency frameworks, aimed at teachers, and it proposes a comprehensive Artificial Intelligence literacy training program, designed to develop in university teachers the necessary skills to integrate Artificial Intelligence into their curricula and research. Through a mixed theoretical-practical approach, the program addresses the gaps identified in the existing literature. The program covers the foundations of Artificial Intelligence to its specific application in teaching, highlighting ethical aspects, critical thinking, and its integration into pedagogy. Based on frameworks such as DigiComEdu, the program is presented as a strategic response to empower teachers, ensuring their preparation to …

Neutrosophic Sets And Systems, Vol. 70,2024, Florentin Smarandache, Mohamed Abdel-Basset, Said Broumi

Neutrosophic Sets and Systems

the whole volume

Excited State Processes In Radical Elaborated Platinum Donor-Acceptor Complexes, Sangita Paudel

Chemistry and Chemical Biology ETDs

Organo-transition metal complexes are being widely studied to understand their photophysical properties for their wide range of applications as efficient emitters in organic light emitting diodes (OLEDs), light emitting electrochemical cells (LEECs), etc. Cyclometalated organo-transition metal complexes such as cyclometalated square planar platinum(II) complexes are becoming suitable candidates for such applications because of their highly efficient luminescence. Understanding the excited properties of such complexes is useful in designing highly efficient and color tunable phosphors with desired excited state lifetimes. We aim to explore the influence of radical substituents on electronic structure, luminescence quantum efficiencies, and excited state lifetimes by synthesizing …

Assessing Consequences And Relevant Thresholds Of Seismic Events In Puerto Rico To Aid The Future Creation Of Consequence-Driven Scenarios, Yahaira D. Alvarez-Gandia

Geography ETDs

Puerto Rico frequently experiences damaging earthquakes due to its location on the northeastern margin of the Caribbean Plate. Its unique combination of factors, including high population, informal construction practices, and environmental risks, such as tsunamis or landslides, create a heightened risk of loss of life and property. Within this context, earthquake scenarios are vital communication, mitigation, and preparedness tools. They provide the opportunity to think critically about possible alternatives to reduce the risks and impacts of these unpredictable events. As an initial step for integrated earthquake scenario development, this study uses semi-structured interviews and the analysis of government reports to …

Secondary Electron Yield Of Metals, Alloys, And Metal Oxides From First Principles Based Monte Carlo Simulations, Raul E. Gutierrez

Electrical and Computer Engineering ETDs

Density Functional Theory (DFT) based Monte Carlo (MC) simulations of the Sec-
ondary Electron Yield (SEY) of metals, alloys, and metal oxides are performed to
find material properties that could help reduce or influence the multipactor effect.
In order to accurately model the SEY of materials, knowledge of the frequency- and
momentum-dependent Energy Loss Function (qDepELF) is required. The qDepELF
is difficult to determine from experiment; however, it can be calculated from first
principles. The DFT-MC approach for simulating the secondary electron genera-
tion, propagation, and emission processes is described herein. Material properties,
which are calculated using DFT and used …

Labor Market Penalties For Foreign Degrees Among College Educated Immigrants: Update Using 2018 Data, Eunice T. Ajibade

Economics ETDs

This paper revisits the questions posed by Arbeit and Warren in their 2013 study, "Labor market penalties for foreign degrees among college-educated immigrants," using updated data from the 2018 National Survey of College Graduates (NSCG). The original study, which analyzed data from 2003, focused on the economic and employment disadvantages faced by immigrants with degrees from foreign institutions in an increasingly globalized workforce. This updated analysis includes data on 21,071 college-educated immigrants to explore whether the geographic origin of an academic degree continues to influence access to high-quality employment opportunities and whether such impacts differ by gender. My findings reveal …

Visualization Of Species Tree Likelihood Under The Multispecies Coalescent Model, Jaimasan Sutton

Mathematics & Statistics ETDs

A commonly used tool for evolutionary biologists is a phylogenetic tree that represents the ancestry of a set of species and the evolution of traits. Statistical models can be used to predict the probabilities of gene trees which represent ancestral relationships of genes sampled from species. Because of this, we are able to represent the likelihood of a species tree, which represents the evolutionary history of a set of species, as a function of the counts of gene tree topologies, where each gene tree represents the ancestry of a specific genetic locus for multiple species. Because we can represent these …

Understanding Longitudinal Top-Down Cracking To Enhance Asphalt Mix Design, Md Mehedi Hasan

Civil Engineering ETDs

This study focuses on developing a deformation rate-dependent bilinear constitutive equation for cohesive zone modeling of asphalt concrete's fracture process zone to accurately predict the longitudinal top-down crack initiation and propagation. A mathematical model has been developed for the AC materials' deformation rate-dependent cohesive zone fracture characteristics and incorporated into the ABAQUS software as a customized user element subroutine (UEL). The developed model has been validated by comparing the simulation results with the laboratory test results, which show good agreement with the results. In addition, an enhanced asphalt mix design approach, referred to as SP5, has been developed to mitigate …