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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 …

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 …

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 …

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 …

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

Impact Of Heat Treatment On Microstructure & Friction Performance Of Nasa Al 398 Alloy Rotors, Manjith Srinivas Koganti

Theses

Interaction of friction brakes with external environment can considerably influence their performance which could relate to friction instabilities and friction induced vibration and noise. The goal of this thesis is to optimize the mechanical properties of Al-alloy and address the friction, wear, and noise heat-treated rotors tested in scaled down SAE recommended testing procedure. The adopted T5 heat treatment process of Al-alloys involves a particular order of controlled heating and cooling steps designed to get specific microstructural changes within the alloy leading to optimized strength/hardness. Hardness is measured with Rockwell’s Hardness Tester. Artificial ageing at elevated temperature process is done. …

On The Computable List Chromatic Number And Computable Coloring Number, Seth Campbell Thomason

Theses

In this paper, we introduce two new variations on the computable chromatic number: the computable list chromatic number and the computable coloring number. We show that, just as with the non-computable versions, the computable chromatic number is always less than or equal to the computable list chromatic number, which is less than or equal to the computable coloring number.We investigate the potential differences between the computable and non-computable chromatic, list chromatic, and coloring numbers on computable graphs. One notable example is a computable graph for which the coloring number is 2, but the computable chromatic number is infinite.

Utilising Discriminant Function Analysis (Dfa) For Classifying Osteoarthritis (Oa) Patients And Volunteers Based On Biomarker Concentration, Laura Jane Coleman, John L Byrne, Stuart Edwards, Rosemary O'Hara

Faculty, Staff and Student Publications

Osteoarthritis (OA) is a degenerative joint disease characterised by the breakdown of cartilage, causing pain, stiffness, and limited movement. Early diagnosis is crucial for effective management but remains challenging due to non-specific early symptoms. This study explores the application of Discriminant Function Analysis (DFA) to classify OA patients and healthy volunteers based on biomarker concentrations of Interleukin-6 (IL-6), Tumour necrosis factor-alpha (TNF-α), and Myeloperoxidase (MPO). DFA was employed to analyse biomarker data from 86 participants (58 patients, 28 volunteers) to evaluate the discriminatory power of these biomarkers in predicting OA. Significant differences were observed in MPO and TNF-α levels between …

Cultivating Cross-Cultural Connections Through Language Learning Circles In Early Childhood Programs, Joy Lee Hernandez, Abha Gupta

Teaching & Learning Faculty Publications

Spanish is the second most common language among US children aged 5–17, with 26.8% speaking it at home. To foster cultural understanding and promote positive relationships, it's crucial to introduce young children to different languages and cultures. Preschool language education can cultivate respect and empathy, building more inclusive communities. Culturally responsive education equips children with skills to value diversity, creating a harmonious cultural climate. This article highlights the importance of learning another language (e.g., Spanish) and introduces Language Learning Circles (LCC) for preschoolers. Research indicates ages 3–6 are optimal for language acquisition, emphasizing the need for early exposure to enhance …

Computational Investigation Of Layered N_((2-X) ) Ni_((2-Y) ) Co_Y Teo_6 (X = 0.0 - 0.5, Y = 0.1 - 0.25) For Sodium-Ion Battery Cathodes, Daisy Jennifer Lopez

Open Access Theses & Dissertations

Sodium-ion batteries have been a source of interest since the 1980's. In 1991, lithium-ion batteries became commercialized and gained popularity, which left studies on sodium-ion batteries behind until recently. The compound Na2Ni2TeO6 shows promise and was the principal material studied in this investigation. The goal of this project was to develop sodium-containing novel layered honeycomb oxides for battery cathodes. Density functional theory calculations for three different sodium sites (i.e., Na1, Na2, and Na3) in Na2Ni2TeO6 were conducted. Our results indicate that Na atoms in the Na1 site are energetically more favorable than the ones either in Na2 or in Na3 …

Method Development For The Quantification Of Critically Valuable Elements In Permian Basin Produced Waters, Carley Oliver

Open Access Theses & Dissertations

Produced waters (PW) are a major byproduct of the oil and gas industrial hydraulic fracturing processes that create a major waste disposal issue with a need for disposal, treatment, and reuse method developments. The current primary disposal method is subsurface injection, which can lead to high pressures in the subsurface. PWs are often highly saline from mineral leaching due to long residence in subsurface reservoirs. According to the USGS National Minerals Information Center, bromine, calcium chloride, iodine, lithium, magnesium, and sodium chloride have been found in and extracted from these domestic subsurface brines, suggesting that there may be other economically …

Flow-Shop Scheduling Optimization Through Discrete-Event Simulation And Neural Networks., Jesus Ricardo Herrera Garfio

Open Access Theses & Dissertations

Industrial developments over the past few decades have transformed manufacturingprocesses, emphasizing the necessity for efficient scheduling systems. The shift from manual scheduling to automated and optimized systems has underscored the need for innovative approaches to improve production efficiency. Scheduling optimization of manufacturing systems is critical to improve operational efficiency. Typically, these scheduling problems become challenging because they involve coordinating various production tasks, resource management, and makespan minimization. These challenges are particularly evident in flow-shop manufacturing systems, where the operation sequencing significantly impacts overall performance. The main objective of this manuscript is to present the methodology followed to optimize the schedule …

Electrical Stimulation Of The Dorsal Motor Nucleus Of The Vagus In Male Mice Can Regulate Inflammation Without Affecting The Heart Rate, Aidan Falvey, Santhoshi P Palandira, Sangeeta S Chavan, Michael Brines, Robert Dantzer, Kevin J Tracey, Valentin A Pavlov

Faculty, Staff and Student Publications

Background: The vagus nerve plays an important role in neuroimmune interactions and in the regulation of inflammation. A major source of efferent vagus nerve fibers that contribute to the regulation of inflammation is the brainstem dorsal motor nucleus of the vagus (DMN), as recently shown using optogenetics. In contrast to optogenetics, electrical neuromodulation has broad therapeutic implications. However, the anti-inflammatory effectiveness of electrical stimulation of the DMN (eDMNS) and the possible heart rate (HR) alterations associated with this approach have not been investigated. Here, we examined the effects of eDMNS on HR and cytokine levels in mice administered with lipopolysaccharide …

Pharmacodynamic Activity Of [18f]-Fluorthanatrace Poly(Adp-Ribose) Polymerase Positron Emission Tomography In Patients With Brca1/2-Mutated Breast Cancer Receiving Talazoparib, Lilie L Lin, Franklin Wong, Ruitao Lin, Timothy Yap, Jennifer K Litton

Faculty, Staff and Student Publications

Purpose: We tested the ability of [18F] fluorthanatrace (FTT), a radiolabeled analog of poly(ADP-ribose) polymerase (PARP)-1 inhibitors, to demonstrate target engagement on positron emission tomography (PET) scans from patients with newly diagnosed primary breast cancer receiving the PARP inhibitor (PARPi) talazoparib.

Methods: Seven patients with germline BRCA1/2 pathogenic variants underwent [18F]FTT PET-computed tomography scanning at baseline, and five underwent repeat scanning 14 days after talazoparib initiation. Maximum uptake on PET was quantified in the primary tumor, involved nodes, contralateral pectoralis muscle, and lumbar vertebra body level 3, and compared between the two time points.

Results: Blocking of [18F]FTT was observed …

Patient-Derived Organoids As Therapy Screening Platforms In Cancer Patients, Danial Khorsandi, Jia-Wei Yang, Samuel Foster, Safoora Khosravi, Negar Hosseinzadeh Kouchehbaghi, Fahimeh Zarei, Yun Bin Lee, Farhana Runa, Ankit Gangrade, Leon Voskanian, Darbaz Adnan, Yangzhi Zhu, Zhaohui Wang, Vadim Jucaud, Mehmet Remzi Dokmeci, Xiling Shen, Faraz Bishehsari, Jonathan A Kelber, Ali Khademhosseini, Natan Roberto De Barros

Faculty, Staff and Student Publications

Patient-derived organoids (PDOs) developed ex vivo and in vitro are increasingly used for therapeutic screening. They provide a more physiologically relevant model for drug discovery and development compared to traditional cell lines. However, several challenges remain to be addressed to fully realize the potential of PDOs in therapeutic screening. This paper summarizes recent advancements in PDO development and the enhancement of PDO culture models. This is achieved by leveraging materials engineering and microfabrication technologies, including organs-on-a-chip and droplet microfluidics. Additionally, this work discusses the application of PDOs in therapy screening to meet diverse requirements and overcome bottlenecks in cancer treatment. …

Auto-Segmentation Of Adult-Type Diffuse Gliomas: Comparison Of Transfer Learning-Based Convolutional Neural Network Model Vs Radiologists, Qi Wan, Jisoo Kim, Clifford Lindsay, Xin Chen, Jing Li, J Bryan Iorgulescu, Raymond Y Huang, Chenxi Zhang, David Reardon, Geoffrey S Young, Lei Qin

Faculty, Staff and Student Publications

Segmentation of glioma is crucial for quantitative brain tumor assessment, to guide therapeutic research and clinical management, but very time-consuming. Fully automated tools for the segmentation of multi-sequence MRI are needed. We developed and pretrained a deep learning (DL) model using publicly available datasets A (n = 210) and B (n = 369) containing FLAIR, T2WI, and contrast-enhanced (CE)-T1WI. This was then fine-tuned with our institutional dataset (n = 197) containing ADC, T2WI, and CE-T1WI, manually annotated by radiologists, and split into training (n = 100) and testing (n = 97) sets. The Dice similarity coefficient (DSC) was used to …

Grace Periods In Comparative Effectiveness Studies Of Sustained Treatments, Kerollos Nashat Wanis, Aaron L Sarvet, Lan Wen, Jason P Block, Sheryl L Rifas-Shiman, James M Robins, Jessica G Young

Faculty, Staff and Student Publications

Researchers are often interested in estimating the effect of sustained use of a treatment on a health outcome. However, adherence to strict treatment protocols can be challenging for individuals in practice and, when non-adherence is expected, estimates of the effect of sustained use may not be useful for decision making. As an alternative, more relaxed treatment protocols which allow for periods of time off treatment (i.e. grace periods) have been considered in pragmatic randomized trials and observational studies. In this article, we consider the interpretation, identification, and estimation of treatment strategies which include grace periods. We contrast natural grace period …

Metronidazole May Display Anti-Inflammatory Features In Periodontitis Treatment: A Scoping Review, Lina J Suárez, Roger M Arce, Cristiane Gonçalves, Camila Pinheiro Furquim, Nidia Castro Dos Santos, Belén Retamal-Valdes, Magda Feres

Faculty, Staff and Student Publications

Aim: Metronidazole (MTZ) is an antimicrobial agent used to treat anaerobic infections. It has been hypothesized that MTZ may also have anti-inflammatory properties, but the evidence is limited and has not been previously reviewed. Thus, this scoping review aimed to answer the following question: "What is the evidence supporting anti-inflammatory properties of metronidazole that are not mediated by its antimicrobial effects?"

Methods: A scoping review was conducted according to the PRISMA-ScR statement. Five databases were searched up to January 2023 for studies evaluating the anti-inflammatory properties of MTZ used as monotherapy for treating infectious and inflammatory diseases.

Results: A total …

Structural Dynamics In Α-Amino-3-Hydroxy-5-Methyl-4-Isoxazole Propionic Acid Receptor Gating, Cuauhtemoc U Gonzalez, Vasanthi Jayaraman

Faculty, Staff and Student Publications

The ionotropic glutamate receptors (iGluRs) are comprised of α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA), N-methyl-d-aspartate receptor, kainate, and delta subtypes and are pivotal in neuronal plasticity. Recent structural studies on AMPA receptors reveal intricate conformational changes during activation and desensitization elucidating the steps from agonist binding to channel opening and desensitization. Additionally, interactions with auxiliary subunits, including transmembrane AMPA-receptor regulatory proteins, germ-cell-specific gene 1-like protein, and cornichon homologs, intricately modulate AMPA receptors. We discuss the recent high-resolution structures of these complexes that unveil stoichiometry, subunit positioning, and differences in specific side-chain interactions that influence these functional modulations.

Perioperative Nivolumab Versus Observation In Patients With Renal Cell Carcinoma Undergoing Nephrectomy (Prosper Ecog-Acrin Ea8143): An Open-Label, Randomised, Phase 3 Study, Mohamad E Allaf, Se-Eun Kim, Viraj Master, David F Mcdermott, Lauren C Harshman, Suzanne M Cole, Charles G Drake, Sabina Signoretti, Mahmut Akgul, Nicholas Baniak, Elsa Li-Ning, Matthew B Palmer, Hamid Emamekhoo, Nabil Adra, Hristos Kaimakliotis, Yasser Ged, Phillip M Pierorazio, E Jason Abel, Mehmet A Bilen, Kenneth Ogan, Helen H Moon, Krishna A Ramaswamy, Eric A Singer, Tina M Mayer, Jay Lohrey, Vitaly Margulis, Jessie Gills, Scott E Delacroix, Mark J Waples, Andrew C James, Peng Wang, Toni Choueiri, M Dror Michaelson, Anil Kapoor, Daniel Y Heng, Brian Shuch, Bradley C Leibovich, Primo N Lara, Judith Manola, Deborah Maskens, Dena Battle, Robert Uzzo, Gennady Bratslavsky, Naomi B Haas, Michael A Carducci

Faculty, Staff and Student Publications

Background: The standard of care for patients with intermediate-to-high risk renal cell carcinoma is partial or radical nephrectomy followed by surveillance. We aimed to investigate use of nivolumab before nephrectomy followed by adjuvant nivolumab in patients with high-risk renal cell carcinoma to determine recurrence-free survival compared with surgery only.

Methods: In this open-label, randomised, phase 3 trial (PROSPER EA8143), patients were recruited from 183 community and academic sites across the USA and Canada. Eligible patients were aged 18 years or older with an Eastern Cooperative Oncology Group performance status of 0-1, with previously untreated clinical stage T2 or greater or …