Digital Commons Network^™

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 …

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 …

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, …

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 …

In Vivo Tissue Distribution Of Polystyrene Or Mixed Polymer Microspheres And Metabolomic Analysis After Oral Exposure In Mice, Marcus M. Garcia, Aaron S. Romero, Seth D. Merkley, Jewel L. Meyer-Hagen, Charles Forbes, Eliane El Hayek, David P. Sciezka, Rachel Templeton, Jorge Gonzalez-Estrella, Yan Jin, Haiwei Gu, Angelica Benavidez, Russell P. Hunter, Selita Lucas, Guy Herbert, Kyle Joohyung Kim, Julia Yue Cui, Rama R. Gullapalli, Julie G. In, Matthew J. Campen, Eliseo F. Castillo

Pathology Research and Scholarship

BACKGROUND: Global plastic use has consistently increased over the past century with several different types of plastics now being produced. Much of these plastics end up in oceans or landfills leading to a substantial accumulation of plastics in the environment. Plastic debris slowly degrades into microplastics (MPs) that can ultimately be inhaled or ingested by both animals and humans. A growing body of evidence indicates that MPs can cross the gut barrier and enter into the lymphatic and systemic circulation leading to accumulation in tissues such as the lungs, liver, kidney, and brain. The impacts of mixed MPs exposure on …

Holistic Health & Healing Arts 2024 Taos Self-Study, Academic Program Review

UNM Academic Program Review

UNM Taos Holistic Health & Healing Arts self-study report for Spring 2024.

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.

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.

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 …

Empowering Artificial Intelligence Techniques With Soft Computing Of Neutrosophic Theory In Mystery Circumstances For Plant Diseases, Ahmed El-Massry, Florentin Smarandache, Mona Mohamed

Neutrosophic Sets and Systems

Plant diseases are one of the factors that lead to yield and economic losses, which have a direct effect on national and international food production systems. One of the most essential ways to avoid agricultural product loss or reduction in amount is to diagnose plant diseases promptly and accurately. Hence, the diagnosis process for plants is crucial and should be conducted accurately. Moreover, this study focuses on this process by constructing an Artificiality Diagnostics Framework (ADF) to serve the study’s objectives which entailed conducting diagnosis for plants in a professional and precise manner over uncertain environments. Thus, neutrosophic theory is …

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 …

Child Labor, Informality, And Poverty: Leveraging Logistic Regression, Indeterminate Likert Scales, And Similarity Measures For Insightful Analysis In Ecuador, Arnaldo Vergara-Romero, Guido Macas-Acosta, Fidel Márquez-Sánchez, Orlando Arencibia-Montero

Neutrosophic Sets and Systems

The paper presents a comprehensive analysis of child labor in Ecuador, employing advanced statistical tools like logistic regression, neutrosophic Likert scales, and similarity measures to deepen the understanding of this social issue. The integration of these methodologies allows for a nuanced assessment of the various socio-economic factors contributing to child labor. By capturing the uncertainty in human responses, the research highlights the complex interplay between poverty, household income, education levels, and labor types on the incidence of child labor. Key findings suggest that rural location, the age of the child, and the informal nature of the head of the household's …

Newark To Navajo: An Autoethnography Of A Cultural Outsider, Vincent Lloyd Mays

Teacher Education, Educational Leadership & Policy ETDs

This study aims to explore the experiences of an African American Male leader in the Bureau of Indian Education. The focus of the study is to understand how I experienced inequitable workplace opportunities that may prohibit me from attaining and advancing into executive leadership roles. A qualitative Autoethnographic approach explores how my lived experiences may help the human resources division recruit and retain “Cultural Outsiders.” It denoted the career trajectory for an African American Male in the Bureau of Indian Education sector to capture the essence of their experiences navigating inequities along the leadership pipeline. To examine my experiences, adaptative …

The Physiological And Perceptual Responses To Continuous- And Interval-Based High-Intensity Functional Training, Jessica Smith

Health, Exercise, and Sports Sciences ETDs

The purpose of this study was to compare the acute physiological and perceptual responses to rest intervals during high-intensity functional training (HIFT) using a “rounds for time” (RFT) and an “every minute on the minute” (EMOM) design. Two studies were conducted in twelve trained and nine untrained individuals who performed two HIFT trials (EMOM and RFT). Blood lactate, oxygen consumption, heart rate, and rating of perceived exertion were significantly higher for the RFT compared to the EMOM. There was no difference between the EMOM and RFT for muscle damage responses. Lastly, there was no difference between the EMOM and RFT …

Effects Of Dysbiosis And Gut-Derived Hydrogen Sulfide On Cognitive Performance, Kimberly Barnhart, Haley Prather, Stephanie Nitschke, Kayla Julio, Nicolas Shaff, Alexander Birg, Henry Lin, Sephira Ryman, Andrei Vakhtin

Brain & Behavioral Health Research Day

The goal of this project was to examine the effects of gut dysbiosis and gut-derived hydrogen sulfide on cognitive performance in humans. Hydrogen sulfide (H2S) is known to produce neurotoxic effects in relatively large amounts, yet it is produced by the body in tiny concentrations and has important roles. Here, we examined how moderate levels of H2S produced by gut bacteria may affect cognition.

FUNDING:

This project was supported by the NIGMS Grant P20GM109089 and NINDS Grant R01NS129407

Traumatic Brain Injury And Psychopathic Traits In Justice-Involved Adult Males, Michaela M. Milillo, Tessa Cappelle, Gerard J.B Clarke, Craig S. Neumann, J Michael Maurer, Nathaniel Anderson, Carla L. Harenski, David Arciniegas, Jean Decety, Michael Koenigs, Kent A. Kiehl

Brain & Behavioral Health Research Day

This is an original study that investigates correlates of traumatic brain injury (TBI; i.e., severity, total number of TBIs, age at first TBI) and psychopathic traits (i.e., antisocial or interpersonal qualities) in justice-involved adult males who were incarcerated at the time of their participation. Our results show higher levels of psychopathic traits in individuals with TBI versus those without, which suggests a greater need to target TBI in the treatment of justice-involved populations.

FUNDING This work was supported by grants from the National Institutes of Health (R01MH109329 R01DA026964, R01DA026505, R01MH071896, R01DA020870, R01MH070539; PI: Kent A. Kiehl, Ph.D.).

Pediatric Postoperative Stroke Recognition, Thomas Ferrer, Juliet Velhagen R Valhagen, Tim Peterson, Codruta Soneru

Brain & Behavioral Health Research Day

Introduction

The recognition and diagnosis of pediatric strokes (PS) or cerebrovascular accidents (CVA) is a well known challenge.¹ In postoperative environments, additional factors such as sedation, regional anesthesia, and postoperative limitations exacerbate the difficulty.² This overview of PS etiology and clinical characteristics includes postoperative guidelines and identifies current literature gaps.

Discussion

As in adults, PS can be ischemic: Arterial Ischemic Stroke (AIS) and Cerebral Sinovenous Thrombosis (CSVT); or hemorrhagic (HS): intracerebral and subarachnoid hemorrhage. The presentation of these varies substantially both from each other and their adult counterparts. Younger children and infants may have unexpected presentations such as …

Gut Microbiome Underpinnings Of Anxiety And Depression In Long Covid-19, Haley E. Prather, Kimberly Barnhart, Stephanie Nitschke, Kayla Julio, Nicholas Shaff, Aleksandr Birg, Henry C. Lin, Sephira G. Ryman, Andrei A. Vakhtin

Brain & Behavioral Health Research Day

Non-expert summary:

COVID-19 has been identified as having a negative effect on the psychological well-being of those affected. The purpose of this investigation is to elucidate the prevalence of depression and anxiety in long COVID-19, as well as explore whether gut-based processes underlie such psychiatric consequences of COVID-19. By investigating the connection between the gut and anxiety as well as depression in long COVID-19, we can better understand and treat this debilitating condition.

Funding: NIGMS Grant P20GM109089 and NINDS Grant R01NS129407

Neuron Specific Gene Family Members Nsg1 & Nsg2 Differentially Affect Long-Term Potentiation, Learning And Memory, Antonio D. Serrano Rodriguez, Amber Zimmerman, Sandy Wilson, David Linsebardt, Jonathan Brigman, Jason Weick

Brain & Behavioral Health Research Day

Non-Expert Summary:

The neuron-specific gene family (NSG1-3) plays crucial roles in regulating the movement and processing of key proteins within neurons, particularly those involved in Alzheimer's disease and synaptic strength regulation. While NSG1 is known for its importance in proper synaptic function, NSG2's role is less understood. Surprisingly, deleting NSG2 selectively enhanced learning and memory, contrary to predictions. Electrophysiology experiments revealed NSG1 and NSG2 have opposite effects on synaptic plasticity, shedding light on their distinct molecular mechanisms.

Funding:

5R01NS116051-04

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 …

To Infinity & Beyond: From Citation Analysis To Understanding Open Access Publishing, Robyn Gleasner, Robinson Lewis Worley

Posters and Presentations

The University of New Mexico Health Sciences Library and Informatics Center conducted a citation analysis to determine where faculty are publishing and open access publishing trends. The actions based on the results of this analysis including gaps in the collection, acquisitions decisions, and emerging publishing trends will be shared.

Study Of The Relationship Among Economic Variables In Cattle Production In A Region Of Peru, Based On Plithogenic Statistics, Ketty Marilú Moscoso-Paucarchuco, Michael Raiser Vásquez-Ramírez, Humberto Rafael Yupanqui-Villanueva, Wilfredo Fernando Yupanqui-Villanueva, Omar Arturo Vivanco-Nuñez, Manuel Michael Beraún-Espíritu, Rafael Jesús Fernández-Jaime, Edgar Gutiérrez-Gómez

Neutrosophic Sets and Systems

This paper is an in-depth study that starts from a preliminary one, where we surveyed 141 ranchers from the town of Coto-Coto in Peru to obtain as much information as possible about the relationship between two economic variables, Activity Cost and Financial Management. Furthermore, we study the correlation of the first one of them with three other economic vari ables. To do this, we process the survey data using logical operators with the support of the plithogenic statistics theory. These results given in the form of plithogenic values are logically aggregated and were converted to crisp values and studied through …

Applications Of Sets And Functions By Using An Open Sets In Fuzzy Neutrosophic Topological Spaces, Basker P, Broumi Said, Vennila J

Neutrosophic Sets and Systems

The definitions provided by the authors of the current study are offered together with a discussion of the recent advances that they have contributed. We begin with an introduction to ���� Fr#bϱN , which includes the concepts of closed and open sets. We explore characteristics in ����-βd#bϱN and ����-℮bϱN (ϱN), and provide an idea of obtained results by adding the notion of FNbϱN OS and analyzing a few of their properties in ��������. We've researched the contrasts between the derived, exterior, and frontier notions that are provided. We also looked at the ideas of 〈��bϱN〉��-functions and Γ��-segregated functions and examined …

Measurement Of The Effectiveness Of An Educational Program Inspired By Indigenous Knowledge For Forest Management, Applied To Forest Engineering Students At The National University Of Central Peru, Using The Neutrosophic 2-Tuple Linguistic Method, Melina Lisbet, Rubén Gelacio Caballero Salas, Milciades Aníbal Baltazar Ruiz, Carlos Eduardo Caballero Salas, Guillermo Ayllon Pinchi, Rolando Carlos Canteño Gavino, Keneth Reategui Del Aguila, Wilmer Ortega Chávez

Neutrosophic Sets and Systems

The “guide to Asháninka knowledge for forest management” is a document prepared by aca demics and scientists from the National University of Central Peru (NUCP) in the Faculty of Forestry Engineering, which includes the knowledge of this indigenous people about forest nature. Despite being ancestral knowledge, we believe that it can serve as a complement to the scientific study of the subject since it is based on knowledge accumulated over centuries of experience. The main purpose of this article is to determine the influence of the “Ashaninka knowledge guide for forest management” on the learning level of NUCP Forest Engineering …

Optimization Of Triangular Neutrosophic Based Economic Order Quantity Model Under Preservation Technology And Power Demand With Shortages, S. Loganayaki, N. Rajeswari, K. Kirupa, S. Broumi

Neutrosophic Sets and Systems

The primary objective of this article is to develop a mathematical model and determine the optimal policies of an inventory system involving power demand and controlled deterioration through preservation technology. This model comes in handy in a power demand-oriented inventory system with demand high at the end of the period. The model incorporates backlogged shortages and linear holding cost. The triangular neutrosophic numbers (TNN’s) are used for a nuanced representation of uncertain and imprecise inventory-related expenses. An efficient algorithm is constructed to minimize the total cost, and obtain optimal positive inventory time, optimum cycle time and minimum preservation technology investment. …

Enhancing Medical Image Quality Using Neutrosophic Fuzzy Domain And Multi-Level Enhancement Transforms: A Comparative Study For Leukemia Detection And Classification, A. A. Salama, Mahmoud Y. Shams, Huda E. Khalid, Doaa E. Mousa

Neutrosophic Sets and Systems

Medical image processing has become a critical research area due to the vast amounts of digital image data available. However, medical images often suffer from poor illumination and low visibility of significant structures, requiring image enhancement to improve image quality before processing. In this paper, we propose a technique for enhancing medical images by removing noise and improving contrast based on three different enhancing transforms. The proposed technique embeds the image into a neutrosophic fuzzy domain, where it is mapped into three different levels of trueness, falseness, and indeterminacy, and each level is processed individually using the enhancement transforms. We …

A Novel Method For Solving The Time-Dependent Shortest Path Problem Under Bipolar Neutrosophic Fuzzy Arc Values, Vidhya K, Saraswathi A, Broumi Said

Neutrosophic Sets and Systems

The Shortest path problem is highly relevant in our daily lives, addressing uncertainties like traffic conditions and weather variations. To handle such uncertainties, we utilize Fuzzy Numbers. This paper focuses on Bipolar Neutrosophic Fuzzy Numbers, which have dual positive and negative aspects. They provide a robust framework for representing arc (node/edge) weights, signifying uncertain travel times between nodes. Importantly, these weights can change over time in bipolar neutrosophic fuzzy graphs. Our study introduces an extended Bellman-Ford Algorithm for identifying optimal paths and minimum times with time-dependent Bipolar Neutrosophic Fuzzy arc weights. We demonstrate its effectiveness through a step-by-step numerical example …