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Articles 39661 - 39690 of 39703
Full-Text Articles in Entire DC Network
A Multi-Center Comparative Analysis Of The G8-Score And Charlson Comorbidity Index As General Health Assessment Tools In Older Patients With Prostate Cancer, Brecht Chys, Philip R. Debruyne, Lore Decoster, Cindy Kenis, Hans Wildiers, Diederik Ponette, Steven Joniau
A Multi-Center Comparative Analysis Of The G8-Score And Charlson Comorbidity Index As General Health Assessment Tools In Older Patients With Prostate Cancer, Brecht Chys, Philip R. Debruyne, Lore Decoster, Cindy Kenis, Hans Wildiers, Diederik Ponette, Steven Joniau
School of Nursing and Midwifery
Introduction Frail and older patients who develop prostate cancer (PCa), are at risk of overtreatment. Multiple general health assessment (GHA) tools have been validated in oncology. we aim to validate and compare the performance of the G8 screening tool, age and Charlson Comorbidity Index (CCI) as a predictor of overall survival (OS) in men older than 70 years with a newly diagnosed prostate cancer. Is it possible to identify a CCI cut-off indicative for frailty? Patients and methods Between 2009 and 2015, a national multicenter initiative on geriatric screening and GHA’s took place in Belgium. Baseline characteristics were collected on …
Anthropogenic Microfibres And Other Microplastics In The Sediments And Soils Of A Small, Moorland Reservoir (Burrator, Southwest England), Alexandra Sutton, Andrew Turner
Anthropogenic Microfibres And Other Microplastics In The Sediments And Soils Of A Small, Moorland Reservoir (Burrator, Southwest England), Alexandra Sutton, Andrew Turner
School of Geography, Earth and Environmental Sciences
Little is known about the sources, transport and fate of anthropogenic microfibres (AMFs) and other microplastics (MPs) in dammed reservoirs. The aim of this study was to determine the concentrations, characteristics and pathways of anthropogenic particles in sediments and soils from a small, upland reservoir (Burrator, southwest England) and its influent and effluent river. Surface and subsurface (5 cm) sediments and soils were collected and characterised for organic matter and key geochemical (Ca, Fe and Rb) and anthropogenic (Pb and Zn) elements. AMFs and MPs were isolated from samples by flotation in ZnCl2 and analysed microscopically; a selection was …
Stronger Shores: A Natural Capital Asset And Risk Register For The Northeast England Coastline Part Three: Application Of The Natural Capital Asset And Risk Register To Appraise Options And Assess Benefits Within Flood And Coastal Erosion Risk Management. A Report Has Been Compiled By Staff At The Marine Institute, School Of Biological And Marine Science, University Of Plymouth., Matthew Ashley, Helen Agosti, Tom Mullier, Tom Mullier, Riley Bibaud, Sian Rees
Stronger Shores: A Natural Capital Asset And Risk Register For The Northeast England Coastline Part Three: Application Of The Natural Capital Asset And Risk Register To Appraise Options And Assess Benefits Within Flood And Coastal Erosion Risk Management. A Report Has Been Compiled By Staff At The Marine Institute, School Of Biological And Marine Science, University Of Plymouth., Matthew Ashley, Helen Agosti, Tom Mullier, Tom Mullier, Riley Bibaud, Sian Rees
School of Biological and Marine Sciences
The Part Three report identifies the role and opportunity for application of the Natural Capital Asset and Risk Register evidence, provided in Reports Part One and Two, in appraisal of Nature-based Solutions (NbS) options within Flood and Coastal Erosion Risk Management (FCERM). Interventions applying NbS aim to increase extent and condition of specific habitat assets (ecosystem assets), therefore, considerable environmental benefits, as well as relevant cross-policy objectives are met when NbS are considered as an option. As such, the linked contribution to ecosystem services and associated benefits to people, and where possible economic value, needs to also be documented when …
Field Learning And Employability In Geography, Earth, And Environmental Sciences, Jacqueline Dohaney, Alison Stokes
Field Learning And Employability In Geography, Earth, And Environmental Sciences, Jacqueline Dohaney, Alison Stokes
School of Geography, Earth and Environmental Sciences
Society needs talented Geography, Earth and Environmental Sciences (GEES) graduates to help address global challenges, but the pathway to professional employment is seldom easy. After graduation, most GEES graduates enter professions requiring broad transferable skills and 'value-added' experiences to thrive in the modern workforce. GEES educators can therefore enhance employability by using field experiences to introduce and develop transferable skills valued by employers. Here, we define employability for our context, explore GEES graduate skills and describe the ways that communication, project management and personal and professional skills can be embedded in field experiences guided by the available literature. We identify …
Conservation Planning For Promoting Ecosystem Service Provisioning Outside Protected Area Networks, Florence Godfrey Tarimo, Francis Moyo, Claire Kelly, Linus Kasian Munishi
Conservation Planning For Promoting Ecosystem Service Provisioning Outside Protected Area Networks, Florence Godfrey Tarimo, Francis Moyo, Claire Kelly, Linus Kasian Munishi
School of Geography, Earth and Environmental Sciences
Among factors that contribute to global biodiversity loss, habitat loss through unsustainable land use and land cover changes has gained prominence, with impacts being exacerbated by increasing human populations. Establishing protected area networks (PANs) is strongly advocated by national and international mechanisms, such as the Convention on Biological Diversity (CBD), as a primary strategy to guide biodiversity conservation and management; however, this can undermine conservation efforts outside protected areas. Understanding how people and biodiversity overlap and interact outside protected area networks (OPAN areas) is essential for setting realistic, sustainable targets to guide biodiversity conservation and ecosystem service provision beyond PAN. …
“I'M Pregnant, What Do I Do?”: Exploring How People Having Abortions In Britain Find And Use Online Sources Of Information, The Sacha Study Team, Rosa Mackay, Rachel Scott, Maria Lewandowska, Rebecca Meiksin, Natasha Salaria, Patricia A. Lohr, Sharon Cameron, Melissa Palmer, Rebecca S. French, Kaye Wellings, Annette Aronsson, Paula Baraitser, Caroline Free, Louise Keogh, Clare Murphy, Wendy Norman, Jennifer Reiter, Jill Shawe, Sally Sheldon, Geoffrey Wong
“I'M Pregnant, What Do I Do?”: Exploring How People Having Abortions In Britain Find And Use Online Sources Of Information, The Sacha Study Team, Rosa Mackay, Rachel Scott, Maria Lewandowska, Rebecca Meiksin, Natasha Salaria, Patricia A. Lohr, Sharon Cameron, Melissa Palmer, Rebecca S. French, Kaye Wellings, Annette Aronsson, Paula Baraitser, Caroline Free, Louise Keogh, Clare Murphy, Wendy Norman, Jennifer Reiter, Jill Shawe, Sally Sheldon, Geoffrey Wong
School of Nursing and Midwifery
Background: Accurate, timely, and supportive information is important for high-quality abortion care. Limited research explores how people find and use online sources of information (OSI) during the abortion process, particularly in Britain. Understanding experiences of using OSI is important for the development of person-centered services and resources. Methods: We conducted a thematic analysis of qualitative data from 41 semi-structured interviews carried out in 2021/2022 with people who had recent experience of abortion in Britain. Results: Using OSI was common amongst participants. Our analysis generated four distinct motivations for doing so. People used OSI to find information about accessing abortion services. …
University Of New Mexico Health Sciences Center Discovery Research Annual Report 2025, Michael Haderle, Kandace Donaldson, Brianna Mortensen, Christina V. Rodriguez, Jill Rothenberg, Bryan Schroeder
University Of New Mexico Health Sciences Center Discovery Research Annual Report 2025, Michael Haderle, Kandace Donaldson, Brianna Mortensen, Christina V. Rodriguez, Jill Rothenberg, Bryan Schroeder
Research Annual Reports
Annual research report from the University of New Mexico Health Sciences Center.
Incremental Innovation, George Horvath
Incremental Innovation, George Horvath
Faculty Scholarship
Transformative innovations—the ones that use new technologies to disrupt the world—command our attention. But most new products are the result of a more mundane process of incremental iterative innovation, evolving through a long series of small modifications of existing technologies. Although both kinds of innovation can result in improved safety and utility, both can also create new dangers. We tend to be more aware of this in transformative innovations (as current worries over artificial intelligence show); by contrast, dangers created by incremental iterative innovation often go unrecognized, because the process itself is easy to overlook. Policymakers and regulators need to …
Governance & Guardrails: Emerging Technologies And Low-Wage Workers, Seema N. Patel
Governance & Guardrails: Emerging Technologies And Low-Wage Workers, Seema N. Patel
Faculty Scholarship
This Article examines an important, but undertheorized phenomenon at the intersection of technology and work: the rapidly increasing presence of artificial intelligence systems into low wage workplaces—and decidedly into the lives of low-wage workers themselves—and the resulting broader implications on work law and democracy. For decades, technology has enabled employers to increasingly exert control over workers; but for all their promise, emerging technologies like artificial intelligence also extend a new and potentially harmful level of concern for low-wage workers in particular. From algorithmic software that unilaterally determines workers’ schedules “on demand” and without notice; to constant and often surreptitious surveillance …
Exploring University Students’ Reasons For Not Working While Studying: Implications For Employability, Carl Evans, Jonathan Lean
Exploring University Students’ Reasons For Not Working While Studying: Implications For Employability, Carl Evans, Jonathan Lean
Plymouth Business School
The purpose of this paper is to examine the behaviours and perceptions of university students who do not work part-time while studying. A structured, online questionnaire was issued to Business Management students at a UK university. A total of 123 responses were received, of which 64 indicated that they were not working while studying. While non-working students were mindful of the importance of work to developing employability skills, greater importance was attached to their degree studies. Most work to date has focused on the motivations and behaviours of university students who undertake work while studying. Little work has been carried …
Development Of A Compliant Soft Gripper With Embedded Force Sensors, Ayman Abbas, Abdelrahman Said, Tamer Kahlil, Mahmoud Magdy
Development Of A Compliant Soft Gripper With Embedded Force Sensors, Ayman Abbas, Abdelrahman Said, Tamer Kahlil, Mahmoud Magdy
Mechanical Engineering
Robotic manipulators have the capability to perform repetitive tasks with a level of efficiency and precision that exceeds the capabilities of human operators. Currently, they are commonly found and extensively utilized across various disciplines. However, robotic manipulators have gradually begun to make inroads into fields beyond manufacturing, such as medicine and agriculture. Due to the diverse range of industries utilizing robotic manipulators, the nature of tasks assigned to these devices can often be more intricate and multifaceted than conventional assignments. Hence, conventional mechanical grippers may not always be suitable, prompting a growing need for grippers capable of adapting to effectively …
Non-Invasive Glucose Monitoring Using Ppg, Ai, And Iot-Driven Mobile Integration For Real-Time Diabetes Management, Mostafa Abdelaziz, Amr Refaie
Non-Invasive Glucose Monitoring Using Ppg, Ai, And Iot-Driven Mobile Integration For Real-Time Diabetes Management, Mostafa Abdelaziz, Amr Refaie
Mechanical Engineering
Diabetes mellitus patients must regularly monitor their blood glucose levels to manage glycaemia, typically requiring capillary tests at least three times daily and laboratory tests one to two times per month. These conventional methods involve finger pricking, causing significant discomfort and stress. This study introduces an innovative non-invasive glucose monitoring approach by integrating photoplethysmography (PPG) technology with an artificial intelligence (AI) algorithm, complemented by a mobile application using Flutter, IoT systems, and Firebase cloud for real-time data access. Among the AI models tested, polynomial regression demonstrated superior accuracy in glucose prediction, achieving a Mean Squared Error (MSE) of 14.76 and …
Design Of Modular Soft Gripper For Harvesting, Mostafa Abdelaziz, Ahmed Reda, Abdulrhman Atef, Mahmoud Magdy
Design Of Modular Soft Gripper For Harvesting, Mostafa Abdelaziz, Ahmed Reda, Abdulrhman Atef, Mahmoud Magdy
Mechanical Engineering
Soft robotics presents a transformative approach to agricultural automation, addressing the limitations of traditional mechanical systems in handling delicate crops. This paper introduces a modular soft robotic gripper designed for gentle harvesting applications, with a focus on adaptability, precision, and crop safety. The gripper's performance was evaluated through Finite Element Analysis (FEA) and experimental testing, targeting its ability to conform to objects of varying shapes, sizes, and fragility. The FEA confirmed the gripper's capability to apply a load based on the gripped crop of the range 0.6 – 0.75 N, sufficient for damage-free harvesting of sensitive produce like strawberries and …
Design And Implementation Of Smart Automation For Sustainable Plastic Recycling With Iot Integration, Mostafa Abdelaziz, Mahmoud Khedr, Amr Bakkar, Yossef Zidan, Abdelrahman Youssef, Mahmoud Magdy
Design And Implementation Of Smart Automation For Sustainable Plastic Recycling With Iot Integration, Mostafa Abdelaziz, Mahmoud Khedr, Amr Bakkar, Yossef Zidan, Abdelrahman Youssef, Mahmoud Magdy
Mechanical Engineering
Plastic pollution poses a critical environmental challenge, infiltrating ecosystems and impacting human health. One innovative solution involves repurposing recycled plastics into interlocking blocks as a sustainable alternative to concrete in construction. However, manual production methods hinder scalability, efficiency, and product consistency while generating material waste. This research addresses these limitations by automating the production process using PLC and IoT technologies. The findings demonstrate that automation significantly enhances production rates, ensures consistent quality, and minimizes waste, thereby improving operational efficiency and environmental sustainability. IoT is integrated to enhance the system's capabilities by providing real-time connectivity and data exchange. The IoT dashboard, …
Ai-Driven Robotic System For Predictive Maintenance: Urban Road Defect Detection In Smart Cities, Mostafa Abdelaziz, Mahmoud Khedr
Ai-Driven Robotic System For Predictive Maintenance: Urban Road Defect Detection In Smart Cities, Mostafa Abdelaziz, Mahmoud Khedr
Mechanical Engineering
This paper presents the development and evaluation of an integrated AI & robotic solution for predictive maintenance in smart cities, focusing on urban road defect detection. The proposed system integrates a mobile robot equipped with a high-resolution camera and a GPS module to capture video footage and geolocation data of road surfaces. The collected data is processed using cloud-based AI models, with YOLOv9 and Roboflow 3.0 Object Detection (Fast) identified as the most effective for analyzing footage to detect cracks and potholes. Experimental results validate the system's ability to accurately identify defects and generate timely reports for maintenance teams. While …
Pre-Programmable Directional Stiffness In Continuum Robotic Arms: Effects Of Truss Configurations, Mostafa Abdelaziz, Zahy Elgendy, Mahmoud Magdy
Pre-Programmable Directional Stiffness In Continuum Robotic Arms: Effects Of Truss Configurations, Mostafa Abdelaziz, Zahy Elgendy, Mahmoud Magdy
Mechanical Engineering
This paper investigates the implementation of trussed designs in modular tendon-driven continuum arms (CAs) to address stiffness and stability limitations while maintaining adaptability. Various truss configurations— Single-Level, Combined-Level, and Alternated trusses—were analyzed using Finite Element Analysis (FEA) to evaluate their impact on flexural and axial stiffness under realistic loading conditions. Results demonstrate that truss placement significantly influences performance, with bottom-level trusses improving flexural stiffness by up to 33%, middle-level trusses enhancing axial stiffness by 43%. Further, Combined-Level configurations provide superior overall stiffness, with MiddleBottom trusses achieving a 66.5% improvement in flexural stiffness and a 70.9% increase in axial stiffness, while …
Integrating Machine Learning And Symbolic Regression For Predicting Damage Initiation In Hybrid Frp Bolted Connections, Sherif Sorour
Integrating Machine Learning And Symbolic Regression For Predicting Damage Initiation In Hybrid Frp Bolted Connections, Sherif Sorour
Mechanical Engineering
No abstract provided.
Hslic Annual Report Fy2024-25, University Of New Mexico Health Sciences Library And Informatics Center
Hslic Annual Report Fy2024-25, University Of New Mexico Health Sciences Library And Informatics Center
HSLIC Annual Reports
Annual report for FY 2024-2025.
The Line: Ai And The Future Of Personhood By James Boyle: Reviewed By Hannah Drayson, Hannah Drayson
The Line: Ai And The Future Of Personhood By James Boyle: Reviewed By Hannah Drayson, Hannah Drayson
School of Art, Design and Architecture
No abstract provided.
Community, Culture, And Capacity: Transformative Governance In The Gold Coast World Surfing Reserve, Kizzy Beaumont, Andrew Mckinnon, Scott Gillies
Community, Culture, And Capacity: Transformative Governance In The Gold Coast World Surfing Reserve, Kizzy Beaumont, Andrew Mckinnon, Scott Gillies
School of Art, Design and Architecture
Executive summary This report presents findings from interviews and a focus group held in September 2024 with stakeholders involved in the Gold Coast World Surfing Reserve (WSR). Participants shared perspectives on the evolution of the WSR, its governance structures, and its role in balancing surf culture, community needs, and environmental sustainability on one of Australia’s most urbanised coastlines.Participants praised the WSR Stewardship Committee, Council leadership, and strong data partnerships with universities. However, concerns were raised about increasing surf congestion, tourism pressure, development impacts, and the lack of formal legal protections for surf zones. The region’s surf culture was described as …
Some Types Of Hyperneutrosophic Set (1): Bipolar, Pythagorean, Double-Valued, Interval-Valued Set, Takaaki Fujita, Florentin Smarandache
Some Types Of Hyperneutrosophic Set (1): Bipolar, Pythagorean, Double-Valued, Interval-Valued Set, Takaaki Fujita, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
The Neutrosophic Set is a mathematical framework designed to manage uncertainty, characterized by three membership functions: truth (T), indeterminacy (I), and falsity (F). In recent years, extensions such as the Hyperneutrosophic Set and SuperHyperneutrosophic Set have been introduced to address more complex scenarios. This paper proposes new concepts by extending Bipolar Neutrosophic Sets, Interval-Valued Neutrosophic Sets, Pythagorean Neutrosophic Sets, and Double-Valued Neutrosophic Sets using the frameworks of Hyperneutrosophic and SuperHyperneutrosophic Sets. Additionally, a brief analysis of these extended concepts is presented.
Superhypergraph Neural Networks And Plithogenic Graph Neural Networks: Theoretical Foundations, Takaaki Fujita, Florentin Smarandache
Superhypergraph Neural Networks And Plithogenic Graph Neural Networks: Theoretical Foundations, Takaaki Fujita, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
Hypergraphs extend traditional graphs by allowing edges to connect multiple nodes, while superhypergraphs further generalize this concept to represent even more complex relationships. Neural networks, inspired by biological systems, are widely used for tasks such as pattern recognition, data classification, and prediction. Graph Neural Networks (GNNs), a well-established framework, have recently been extended to Hypergraph Neural Networks (HGNNs), with their properties and applications being actively studied. The Plithogenic Graph framework enhances graph representations by integrating multi-valued attributes, as well as membership and contradiction functions, enabling the detailed modeling of complex relationships. In the context of handling uncertainty, concepts such as …
Some Types Of Hyperneutrosophic Set (6): Multineutrosophic Set And Refined Neutrosophic Set, Takaaki Fujita, Florentin Smarandache
Some Types Of Hyperneutrosophic Set (6): Multineutrosophic Set And Refined Neutrosophic Set, Takaaki Fujita, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
This paper builds on the foundational advancements introduced in [22, 29–32]. The Neutrosophic Set pro-vides a flexible mathematical framework for managing uncertainty by utilizing three membership functions: truth, indeterminacy, and falsity. Recent extensions, such as the HyperNeutrosophic Set and the SuperHy-perNeutrosophic Set, have been developed to address increasingly complex and multidimensional challenges. Comprehensive formal definitions of these concepts are provided in [26]. In this paper, we further extend various specialized classes of Neutrosophic Sets. Specifically, we explore extensions of the MultiNeutrosophic Set and the Refined Neutrosophic Set using HyperNeutrosophic Sets and 𝑛-SuperHyperNeutrosophic Sets, providing detailed analysis and examples.
Some Types Of Hyperneutrosophic Set (4): Cubic, Trapozoidal, Q-Rung Orthopair, Overset, Underset, And Offset, Florentin Smarandache, Takaaki Fujita
Some Types Of Hyperneutrosophic Set (4): Cubic, Trapozoidal, Q-Rung Orthopair, Overset, Underset, And Offset, Florentin Smarandache, Takaaki Fujita
Branch Mathematics and Statistics Faculty and Staff Publications
This paper builds upon the foundational work presented in [38–40]. The Neutrosophic Set provides a comprehensive mathematical framework for managing uncertainty, defined by three membership functions: truth, indeterminacy, and falsity. Recent advancements have introduced extensions such as the Hyperneutrosophic Set and the SuperHyperneutrosophic Set, which are specifically designed to address increasingly complex and multidimensional problems. The formal definitions of these sets are available in [30]. In this paper, we extend the Neutrosophic Cubic Set, Trapezoidal Neutrosophic Set, q-Rung Orthopair Neutrosophic Set, Neutrosophic Overset, Neutrosophic Underset, and Neutrosophic Offset using the frameworks of the Hyperneutrosophic Set and the SuperHyperneutrosophic Set. Furthermore, …
Forestfuzzy, Forestneutrosophic, Forestplithogenic, And Forestrough Set, Takaaki Fujita, Florentin Smarandache
Forestfuzzy, Forestneutrosophic, Forestplithogenic, And Forestrough Set, Takaaki Fujita, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
Concepts such as Fuzzy Sets [30, 72], Neutrosophic Sets [53, 55], Rough Sets [37], and Plithogenic Sets [59] have been extensively studied to address uncertainty, with diverse applications across various fields. Recently, TreeFuzzy, TreeNeutrosophic, TreePlithogenic, and TreeRough Sets have been defined [15]. This work examines their extensions: ForestFuzzy, ForestNeutrosophic, ForestPlithogenic, and ForestRough Sets.
Some Types Of Hyperneutrosophic Set (3): Dynamic, Quadripartitioned, Pentapartitioned, Heptapartitioned, M-Polar, Takaaki Fujita, Florentin Smarandache
Some Types Of Hyperneutrosophic Set (3): Dynamic, Quadripartitioned, Pentapartitioned, Heptapartitioned, M-Polar, Takaaki Fujita, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
This paper builds upon the foundation established in [50, 51]. The Neutrosophic Set provides a robust mathematical framework for handling uncertainty, defined by three membership functions: truth, indeterminacy, and falsity. Recent developments have introduced extensions such as the Hyperneutrosophic Set and SuperHyperneutrosophic Set to tackle increasingly complex and multidimensional problems. In this study, we explore further extensions, including the Dynamic Neutrosophic Set, Quadripartitioned Neutrosophic Set, Pentapartitioned Neutrosophic Set, Heptapartitioned Neutrosophic Set, and m-Polar Neutrosophic Set, to address advanced challenges and applications.
Local-Neutrosophic Logic And Local-Neutrosophic Sets: Incorporating Locality With Applications, Florentin Smarandache, Takaaki Fujita
Local-Neutrosophic Logic And Local-Neutrosophic Sets: Incorporating Locality With Applications, Florentin Smarandache, Takaaki Fujita
Branch Mathematics and Statistics Faculty and Staff Publications
The study of uncertainty has been a significant area of research, with concepts such as fuzzy sets [87], fuzzy graphs [51], and neutrosophic sets [58] receiving extensive attention. In Neutrosophic Logic, indeterminacy often arises from real-world complexities. This paper explores the concept of locality as a key factor in determining indeterminacy, building upon the framework introduced by F. Smarandache in [73]. Locality refers to processes constrained within a specific region, where an object or system is directly influenced by its immediate surroundings. In contrast, nonlocality involves effects that transcend spatial or temporal boundaries, where changes in one location have direct …
Neutrosophic Treesoft Expert Set And Forestsoft Set, Takaaki Fujita, Florentin Smarandache
Neutrosophic Treesoft Expert Set And Forestsoft Set, Takaaki Fujita, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
Concepts such as Fuzzy Sets [28,57],Neutrosophic Sets [42,44], and Plithogenic Sets [48] have been extensively studied to address uncertainty, finding diverse applications across various fields. The Soft Set provides a framework that associates each parameter with subsets of a universal set, enabling flexible approximations [31]. The TreeSoft Set extends the Soft Set by introducing hierarchical, tree-structured parameters, allowing for multi-level data representation [53]. In this paper, we revisit the concept of the Neutrosophic TreeSoft Set, which has been discussed in other studies [8, 34]. Additionally, we propose and examine the Neutrosophic TreeSoft Expert Set by incorporating the framework of the …
Plithogenic Duplets And Plithogenic Triplets, Takaaki Fujita, Florentin Smarandache
Plithogenic Duplets And Plithogenic Triplets, Takaaki Fujita, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
A Neutrosophic Set is a mathematical framework that represents degrees of truth, indeterminacy, and falsehood to address uncertainty in membership values [41, 42]. In contrast, a Plithogenic Set extends this concept by incorporating attributes, their possible values, and the corresponding degrees of appurtenance and contradiction [50]. Among the related concepts of Neutrosophic Sets, Neutrosophic Duplets and Neutrosophic Triplets are well-known. This paper defines Plithogenic Duplets and Plithogenic Triplets as extensions of these concepts using the Plithogenic Set framework and briefly examines their relationship with existing concepts.
Quantified Neutrosophic Set (Qtns)-Based Mcdm Algorithms For Sustainable Material Selection For Anti-Microbial Bio-Fabricated Textile Manufacturing, Muhammad Saeed, Neha Andaleeb Khalid, Florentin Smarandache
Quantified Neutrosophic Set (Qtns)-Based Mcdm Algorithms For Sustainable Material Selection For Anti-Microbial Bio-Fabricated Textile Manufacturing, Muhammad Saeed, Neha Andaleeb Khalid, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
This paper proposes a modified structure for the neutrosophic set called the Quantified Neutrosophic Set (QtNS) with a parameterized setting. Unlike conventional approaches, the QtNS provides a quantified environment for the indeterminacy by its dependence on truthness and falsity components. This innovative approach quantifies the uncertainty and improves the assessment process via expert-guided opinions, customising it according to the specific situations in real-world decision-making scenarios. Some QtNS operations along with useful characteristics are addressed. Furthermore, two algorithms, QtNSUI and QtNSAO, are developed for the proposed operations of union, intersection, AND, and OR based on QtNS. In the world of sustainable …