Digital Commons Network^™

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.

New Neutrosophic Sentiment Analysis Method Based On Neutroalgebra For The Evaluation Of Ethics In Companies, Lilia Esther Valencia Cruzaty, Adriana Mercedes Ruiz Reynoso, Blanca Estela Hernández Boni-Lla

Neutrosophic Sets and Systems

Ethics is a discipline that has broken the limits of its field of study, which is related to having the right behavior towards other people, but also to respect nature and life. This has been extended to the accounting and organizational management of companies. This paper proposes a sentiment analysis method based on the NeutroGroup obtained from offuninorms defined by the combining functions in Prospector. The advantage of the proposed method is that in addition to "like" and "dislike", we obtain a result of indeterminacy that can be due either to neutrality or to a contradiction in the short informal …

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.

Analyzing Interdisciplinary Education In General Medicine Using Smarandache's Multivalued Logic Hypothesis Theory And Plithogenic Probability, Dolores Hernandez De La Cantera, Rosangela Caicedo Quiroz, Mairim Lago Queija, Jeanntte Rodriguez Gonzalez, Maikel Y. Leyva Vazquez

Neutrosophic Sets and Systems

Smarandache extended the concept of falsifiability to include hypotheses that involve multiple values. Smarandache's extension of classical logic introduces Partial Falsifiability within multi-valued logic, which allows for the inclusion of partial truth values, uncertainties, and false values, unlike traditional falsifiability which only classifies hypotheses as completely true or false. Using this approach this study investigates specifically the concept of interdisciplinarity in the field of integral general medicine, with a specific emphasis on the integration of nursing procedures. The method employs sentiment analysis of scientific questions using the Consensus tool and plithogenic statistics to assess complex hypotheses. The findings indicate that …

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

Orígenes Sociales De Las Enfermedades Culturales Entre Los Ngawbere Del Norte De La Península Valiente: El Caso De Chakore Y Ha Ko Botika, Keith V. Bletzer, Milton Machuca-Galvez

University Libraries & Learning Sciences Faculty and Staff Publications

Esta tesis doctoral se centra en los orígenes sociales de dos enfermedades de origen cultural en la comunidad indígena ngawbere, que ha experimentado y sigue experimentando marginalización en comparación con otros habitantes de Panamá. Los ngawbere consideran que son una sociedad separada dentro del Estado-nación de Panamá, y como principal población indígena que sobrevivió a la pacificación española en la época colonial, todavía residen en sus tierras ancestrales en el oeste del país.

Un aspecto clave de la sociedad ngawbere es su énfasis en la cooperación mutua para las actividades de subsistencia, priorizando la ayuda entre parientes de sangre sobre …

Periodic Information Leakage Fault Detection On A Risc-V Microprocessor, Idris Somoye

Electrical and Computer Engineering ETDs

The execution behavior of a Microprocessor (μP) in the presence of a fault is difficult to predict because of the complex interactions across pipeline stages and between functional units within the architecture. Fault effects are known to not introduce any type of anomaly in the input-output behavior for 10s of thousands to millions of clock cycles. These characteristics increase the difficulty of evaluating μP architectures for resilience to information leakage events, i.e., scenarios where a fault causes sensitive data such as an encryption key to be inadvertently diverted to a primary output channel. This dissertation explores two promising strategies for …

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 …

Connecting Climate And Geography With Diversification And Conservation Of A Western North American Endemic Mammal, Sorex Monticola, Antonia Androski

Biology ETDs

Repeated glacial cycles of the Pleistocene initiated complex sequences of divergence and secondary contact with gene flow for many North American species. In my first chapter, I expand our understanding of the phylogeography of the montane shrew, Sorex monticola, with range-wide genetic sampling and geospatial analyses to reconstruct the history of clades within this species and test whether evolutionarily divergent clades occupy distinct abiotic niches. In my second chapter, I build upon these hypotheses, providing the first estimates of evolutionary relationships and timing of diversification based on genome-wide markers. In my third chapter, I use a systematic review of the …

Validating Reward And Relief Drinking Phenotypes: A Multimethod Assessment, Victoria R. Votaw

Psychology ETDs

Recent work has examined the extent to which individuals seek alcohol to enhance positive experiences (reward drinking) or relieve aversive states (relief drinking). Although reward/relief drinking subgroups moderate response to two medications for alcohol use disorder (AUD), naltrexone and acamprosate, limitations of reward/relief drinking measures could hinder efforts to translate findings to clinical practice. This dissertation project aimed to validate a brief, practical measure of reward/relief drinking, the Reward and Relief Inventory of Drinking Situations (RR-IDS). Among 426 participants with AUD enrolled in a clinical trial of naltrexone and acamprosate (Study 1), we identified RR-IDS items free of bias across …

Substance Use Patterns Among Muslim American Young Adults: A Mixed Methods Design Assessing Risk And Protective Factors, Donia Hijaz

Psychology ETDs

Muslim Americans are underrepresented in the addictions literature. This mixed methods study sought to examine the frequency of substance use, and identify risk/protective factors of at-risk substance use. Young adults (N = 289; M_age = 22.68, SD = 3.42; 50.9% male) from around the U.S. who identified as Muslim American or from a Muslim background completed a survey. Given that several measures had not been validated with Muslim American samples, open-ended questions were included at the end of those measures. Findings revealed low rates of lifetime substance use in the current sample, preventing any quantitative analyses surrounding risk …

Adaptive Immune Profiling Of Sin Nombre Hantavirus And Severe Acute Respiratory Syndrome Coronavirus 2 Infection, Tonilynn M. Baranowski

Biomedical Sciences ETDs

Hantaviruses are causative agents of potentially fatal respiratory illness and/or organ failure in humans worldwide. In the United States, the predominant hantavirus species, Sin Nombre hantavirus (SNV), causes a severe disease pathology, called hantavirus cardiopulmonary syndrome (HCPS). Infection with SNV and subsequent clinical manifestations of HCPS lends itself to case fatality rates approaching 40%, even under supportive care. This is partially due to the lack of FDA-approved vaccines and antivirals, in addition to a deficit in our knowledge regarding the human immune response to SNV. Further investigation of the adaptive immune response may reveal key targets to mediate disease outcome. …

Thermal Oxidative Degradation Of Polystyrene Plastics Used For Food Packaging During Incomplete Waste Incineration, Maycee Hurd

Civil Engineering ETDs

We identified the physical and chemical degradation of polystyrene (PS) plastic used for food packaging after thermal oxidative weathering. Open waste incineration is a widely used waste management practice in isolated and underserved communities. However, the generation of partially incinerated plastics and microplastics (MPs) from this practice is overlooked. Near surface XPS C 1s high resolution analyses show an increase in the intensity of peaks greater than 285 eV corresponding to C/O bonds after burning of PS. Bulk analyses using ATR-FTIR show that thermal oxidation decreased the alkene (3040-3000 cm-1) and alkane (3000-2850 cm-1) C-H stretch signals suggesting PS chain …

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 …

Evaluation Of Machine Learning Algorithms And Statistical Analysis For Predicting Crash Severity And Determining Contributing Factors: A Comparative Study, Arian Golrokh Amin

Civil Engineering ETDs

Improving road traffic safety relies on the ability to accurately predict traffic crashes and understand the factors contributing to severe injuries. This study employs a dual approach, utilizing both statistical analysis and machine-learning methodologies. Initially, statistical analyses such as chi-squared tests and Cramer's V values are applied to a decade's worth of police report data from Albuquerque, New Mexico, to identify primary causal factors behind crashes. Subsequently, machine-learning models are developed and rigorously compared to predict the severity of traffic crash injuries. The selection of the most effective algorithm is based on comprehensive metrics including accuracy, precision, recall, and F1 …

The Feasibility Of An Acute Bout Of High Intensity Interval Vs Continuous Moderate-Intensity Exercise On Cognition In Chronic Stroke Patients, Anna M. Welch, Marissa Ramirez, Christine Mermier, Flavio De Castro Magalhaes, Jessia D. Richardson, Alyssa Bailly, Terence Moriarty

Health, Exercise, and Sports Sciences ETDs

Objective: The purpose of the present study was to assess the feasibility of chronic stroke patients safely completing an acute 30-minute session of high-intensity interval exercise (HIIE) compared to moderate-intensity aerobic exercise (MIE) on a treadmill, with a focus on cognitive outcomes. Design: This feasibility study utilized a randomized controlled crossover trial with two experimental sessions separated by at least 7 days to minimize practice effects on cognitive assessments. Subjects: Five chronic stroke survivors (m=4, f=1) participated in two randomly assigned experimental sessions (n=5, 60.4 ± 11.3 years, 39.8 ± 41.4% body fat, 32.7±6.3 body mass index [kg/m²])., either a …

Negation In Dene Languages, Cormac League

Linguistics ETDs

This thesis uses a typologically informed approach to investigate the strategies used for negation in Dene languages. This study illuminates aspects of the development of negation by examining the complex interplay between the lexical forms and morphosyntactic strategies employed to encode negative polarity in declarative and prohibitive constructions. The theoretical frameworks of the Jespersen Cycle and the Negative Existential Cycle are utilized to discuss negators in relation to their possible origins. Particular attention is given to the Pacific Coast and Southern Dene languages to propose an origin for the bipartite negation strategies used in the later. Through examination of synchronic …

Tuning Of Real-Time Optimization Of Heliostat Concentrated Solar Power, Zachary L. Bernius

Mechanical Engineering ETDs

This paper investigates a real-time optimization algorithm for autonomously calibrating the heliostats in a concentrated solar power plant with the goal of maximizing power generation. The current state-of-the-art uses human operators to provide feedback for the heliostats. We use real-time/online measurements to produce an autonomous closed-loop system that does not require human intervention. The paper investigates tuning the gain of the real-time optimization algorithm to quickly and robustly converge to the optimal alignment and stabilize the system. The exponential stability of the system is certified using a quadratic Lyapunov function and static output feedback methods to couple the Lyapunov functions …