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On Nct- Set Theory, Dheargham Ali Abdulsada, L. A. A. Al-Swidi, Mustafa H. Hadi

Neutrosophic Sets and Systems

We introduce a new class of neutrosophic crisp set, and then it presented some operations via this sets like, ������ −intersection, ������ −union and algebraic ������−difference to arrive at the algebraic ring construction. Also, we introduce the ������ − points, which showed that a ������ –set is ������−union of its ������−points, and so did we introduced the concept of the function on this sets, called ������ – function and some of their important properties. Finally, we introduced the concept of the topology and some of the concepts entrusted to it, as an introduction to those spaces that can be studied …

Neutrosophic Spherical Sets In Mcdm, S. Bhuvaneshwari, C. Antony Crispin Sweety

Neutrosophic Sets and Systems

Decision-making plays a crucial role in achieving success across various scenarios, especially when confronted with complex issues inundated with abundant facts and information. Employing multi criteria decision-making (MCDM) methods and techniques becomes particularly indispensable in tackling such formidable challenges. This study introduces novel neutrosophic SWGM and SWAM accuracy functions, which enhance traditional aggregation operators. Furthermore, it introduces the CODAS technique tailored for addressing Multiple Attribute Group Decision Making problems utilizing the newly defined operators. To exemplify the proposed methodology, a supplier selection problem is examined.

A Robust Framework For Medical Diagnostics Based On Interval-Valued Q-Neutrosophic Soft Sets With Aggregation Operators, Enad Ghazi, Sinan O. Al-Salihi

Neutrosophic Sets and Systems

The best way to deal with complicated life scenarios that accompany the decision-making process is to update previous concepts constantly. Therefore, researchers must constantly discover powerful mathematical tools that suit the accompanying circumstances. In this regard, we combine both soft set, neutrosophic set, and interval setting under Q-two-dimensional universal information to introduce a new hybrid innovative model called interval valued-Q-neutrosophic soft sets. The core goal of this model is to keep the features of previous models like soft sets, neutrosophic sets, and Q-Fuzzy sets in dealing with the lack of uncertainty and neutrality associated with real-life issues. This new approach …

Evaluation Of The Shortest Path Based On The Traveling Salesman Problem With A Genetic Algorithm In A Neutrosophic Environment, Prasanta Kumar Raut, Siva Prasad Behera, Said Broumi, Arindam Dey, Mohamed Talea, Amarendra Baral

Neutrosophic Sets and Systems

In The traveling salesman problem (TSP) is an essential and the most popular conventional combinatorial optimization network problem in operations research, in which the TSP evaluates the shortest route or path in a network. In TSP, every node has been visited only once, excluding the starting node. In TSP, edge lengths are usually expressed to indicate journey time and expenses instead of distance from a location. The exact arc length can't be predicted because journey times and expenses vary depending on the amount of payload, climate, highway conditions, and so on. As a result, the Neutrosophic numbers introduce a new …

A Hybrid Approach To Micro Vague Topological Space Via Neutrosophic Topological Space, Vargees Vahini T, Trinita Pricilla

Neutrosophic Sets and Systems

Plenty of topologists are exploring and discovering multiple forms of topological spaces. The chief objective of the current enquiry is to establish and evaluate an original hybrid topological space named Neutro sophic Micro Vague Topological Space. When contrasted with distinctive fuzzy sets, Neutrosophic Micro Vague sets give more adaptive framework for dealing with uncertainties and obscurity because they allow more nuanced portrayal of the multitude of the elements of inconsistencies. Some of the basic definitions and operations on Neutrosophic Micro Vague Sets are defined and examined with numerical examples. Furthermore,some of the basic algebraic properties of Neutrosophic Micro Vague Sets …

Treesoft Approach For Refining Air Pollution Analysis: A Case Study, M. Myvizhi, Ahmed A. Metwaly, Ahmed M. Ali

Neutrosophic Sets and Systems

The ongoing research employs both the neutrosophic set and the Decision Making and Evaluation Method (DEMATEL) to analyze and determine the factors influencing supplier selection within the realm of Supply Chain Management (SCM). Recognized as a proactive strategy for enhancing performance and securing competitive advantages, DEMATEL guides this investigation. The study utilizes neutrosophic set Theory to refine overall assessments, introducing a novel scale to distinctly represent each value. Through a practical case study focusing on selecting the optimal supplier for a distribution company, the proposed methodology's application is illustrated. The research framework integrates a neutrosophic DEMATEL approach for data collection, …

On Generalized Difference Rough Ideal Statistical Convergence In Neutrosophic Normed Spaces, Manpreet Kaur, Meenakshi Chawla

Neutrosophic Sets and Systems

This article’s main goal is to provide and investigate a novel statistical convergence generalisation for generalized difference sequences in Neutrosophic Normed Spaces (NNS) called rough ideal statistical con vergence. The collection of approximate optimal statistical limit points and cluster points is defined, and their algebraic and topological features are examined. Additionally, we included the relationship for generalized dif ference sequences in NNS between rough I-statistical cluster points and rough I-statistical limit points.

A Survey On Neutrosophic Principles For Inventory Management Problem, Ankit Dubey, Arindam Dey, Said Broumi, Ranjan Kumar

Neutrosophic Sets and Systems

This paper presents a thorough assessment and classi cation of di erent uncertain environments used by researchers to analyze inventory management(IM) systems across various sectors, such as ABC anal ysis, Last In, First Out (LIFO), and batch tracking. Moreover, it introduces the concepts of the neutrosophic principle and fuzzy principle in inventory management. it also investigates the di culties associated with the traditional inventory model. The primary focus of the study lies in inventory management under the Neu trosophic principle, speci cally addressing uncertain demand and imprecise data. By shedding light on the potential of neutrosophic principle, this manuscript contributes …

On Rough Statistical Convergence In Neutrosophic Normed Spaces, Reena Antal, Meenakshi Chawla, Vijay Kumar

Neutrosophic Sets and Systems

In this paper, we have presented rough statistical convergence of sequence on neutrosophic normed spaces as an important convergence criterion. As neutrosophication can handle partially dependent compo nents, partially independent components and even independent components involved in real-world problems. By examining some properties related to rough convergence in these spaces we provide some useful functional tools in the situations of inconsistency and indeterminacy in the real world. Further, we have established some equivalent conditions on the set of statistical limit points as well as on the set of cluster points in these spaces for rough statistically convergent sequences.

Neutrosophic Sets And Systems, Vol. 68,2024, Florentin Smarandache, Mohamed Abdel-Basset, Said Broumi

Neutrosophic Sets and Systems

the whole volume

Rehabilitation Medicine In Rural New Mexico And Beyond, Rebecca A. Dutton

Western Journal of Orthopaedics

No abstract provided.

Front Matter, Arianna Medina

Western Journal of Orthopaedics

No abstract provided.

Full Issue, Arianna Medina

Western Journal of Orthopaedics

No abstract provided.

Navigating Murky Waters: Strengthening Water Protections In A Post-Sackett Landscape, Brittany Herrera

New Mexico Law Review

Nearly ninety percent of New Mexico’s rivers and streams potentially have been removed from federal protection under the Clean Water Act following the United States Supreme Court’s decision in Sackett v. EPA to substantially reduce what qualify as “waters of the United States.” Before this decision, many ephemeral streams, tributaries, and wetlands were protected by the Environmental Protection Agency. Permits are essential to protect not only the environment but landowners as well. The New Mexico Environment Department is in the process of developing its own surface water discharge permitting program, as the EPA’s jurisdiction contracted commensurately with the Supreme Court’s …

A Rechargeable Metal-Co2 Battery Using Lower-Cost Materials, Chris Fetrow

Nanoscience and Microsystems ETDs

High energy density, low-cost chemical conversion batteries are widely studied for their potential application to applications in which current battery technologies are unsuitable replacements for fossil fuel-powered systems. The demonstration of rechargeable chemical conversion batteries, and particularly batteries without the fatal flaw of high overpotential due to the difficulties inherent to chemical conversion reactions, is of great interest to further both this aim. In this work, a secondary Al-CO2 battery was demonstrated using a homogeneous aluminum iodide redox mediator to enable the battery’s discharge and charge at a high energy density and a low overpotential of 0.05 Volts. The operation …

Increasing Bacterial Tolerance And Metabolism Of The Biofuel, N-Butanol Using Community-Level Evolution And Functional Genomics, Kayley T. You Mak

Biology ETDs

Bioremediation capability should be developed along with biofuel technology to mitigate the potential damage of future spills. Biobutanol is being developed since n-butanol is more energy dense and less volatile than ethanol. A bottleneck for industrial production of biobutanol is its toxicity; most microbes cannot survive ~1.5% v/v. Thus, microbial bioremediation of n-butanol would need microbes that can both tolerate and metabolize butanol. We used ecological and evolutionary biology approaches to find bacteria that could tolerate and metabolize butanol. Ecological community-level assays followed by 16S amplicon sequencing were completed to identify butanol-tolerant artificial bacterial communities. Secondly, we looked for bacteria …

Nidus Idearum. Scilogs, Xiii: Structure / Neutrostructure / Antistructure, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

In this thirteenth book of scilogs – one may find topics on Neutrosophy, Plithogeny, Physics, Mathematics, Philosophy – email messages to research colleagues, or replies, notes, comments, remarks about authors, articles, or books, spontaneous ideas, and so on. It presents new types of soft sets and new types of topologies.

Exchanging ideas with Mohammad Abobala, Ishfaq Ahmad, Ibrahim M. Almanjahie, Fatimah Alshahrani, Nizar Altounji, Muhammad Aslam, Said Broumi, Victor Christianto, R. Diksh, Feng Liu, Frank Julian Gelli, Erick Gonzalez Caballero, Riad Hamido, Yaser Al-Hasan, Ahmed Hatip, Yasin Karmouta, Nivetha Martin, Preda Mihăilescu, V. Lakshmana Gomathi Nayagam, Ze Carlos Tiago de …

Development And Evaluation Of Muon Scattering Tomography Reconstruction Techniques For Spent Fuel Verification, Jesus J. Valencia

Nuclear Engineering ETDs

The International Atomic Energy Agency has acknowledged the need to “efficiently verify and maintain knowledge of spent fuel in shielding/storage/transport containers at all points in their life cycle”. Cosmic-ray muon scattering tomography has shown potential to create reconstruction images of dry cask contents that would be useful for in-situ verification of spent fuel within dry casks.

In this document, several muon scattering tomography reconstruction techniques are explored using experimental track data through a partially filled dry cask container and steel drum test object. Two three-dimensional reconstruction techniques, a backprojection and newly developed combined depth of field algorithm, are evaluated. The …

Longitudinal Spatial Trends In U.S. Pedestrian And Bicyclist Fatalities, Ossiris Rodriguez, Nicholas N. Ferenchak

Civil Engineering ETDs

Between 2009 and 2022 in the United States (U.S.), pedestrian fatalities increased 82.3% and bicyclist fatalities increased 70.8%. Several studies have researched crash characteristics such as the people and roadways involved in these crashes. But where are these fatalities occurring within our regions and what spatial characteristics of these locations could be influencing this trend? We analyzed pedestrian and bicyclist fatality data from the last two decades using NHTSA’s Fatality Analysis Reporting System (FARS) in relation to built-environment and socio-economic characteristics (such as street network density, transit access, poverty, and educational attainment) obtained from the U.S. Census and the U.S. …

Toothbrushing And Flossing Sequence: The Most Effective Way To Reduce Dental Plaque Biofilm, Kimberly Ann Obiedo

Dental Hygiene ETDs

Dental plaque biofilm remaining on oral structures causes disease processes such as gingivitis, periodontitis, and dental caries. This study's purpose was to determine which sequence of dental biofilm removal is more effective, toothbrushing followed by flossing or flossing followed by toothbrushing. The study was conducted using an experimental approach with a split mouth design. A pre and post plaque index score was determined for each participant using Ramfjord’s tooth assignment and all data was recorded on a plaque control data sheet. Thirty-two adults were eligible to participate in the study. The average results of the primary plaque score were 78% …

Optimizing Flash Flood Prediction In Arid And Semi-Arid Regions: A Comparative Evaluation Of Infiltration Models And Parameter Estimation Guidance Across Spatial Scales, Sara Rassa

Civil Engineering ETDs

This study improves flash flood prediction by analyzing the vital role of infiltration models in hydrologic modeling, especially for areas with scarce data. It offers new parameter estimation guidance for three infiltration models—initial-constant (IC), linear-constant (LC), and Green-Ampt (GA)—based on plot-scale rainfall simulations. The research emphasizes the impact of soil texture, moisture, and crust on model parameters. A comparative analysis of four models (curve-number, IC, GA, and LC) using data from Arizona's Walnut Gulch Experimental Watershed under different calibration scenarios shows the GA model's superiority in certain conditions, though it faces issues of equifinality in unconstrained calibrations. Meanwhile, the simpler …

Molecular Dynamics Insights Into The Structural Behavior And Interactions Of Complex Biological Systems, Shenghan Song

Chemistry and Chemical Biology ETDs

All-atom molecular dynamics (MD) simulations are essential for examining the structural and dynamic aspects of proteins at high resolution, complementing experiments limited by resolution, size, and complexity. Advancements in algorithms and hardware have enhanced the role of computational tools in scientific research, allowing for more accurate simulations of proteins with standard residues. However, simulating real biological systems, which include non-standard residues such as lipid membranes, remains challenging despite the assistance of tools like CHARMM-GUI. My research initially focused on simulating the PICK1 BAR dimer using steered MD simulations to investigate its structure and dynamics. Simulation works expanded to include systems …

Insight Into The Application Of Engineered Phenol Polymer Nanocomposites For Geothermal Well Applications To Modify Fracture Permeability, Fatemeh Hamidi

Civil Engineering ETDs

In enhanced geothermal systems, the efficient transfer of heat from the formation to the fluid circulating through the fracture network can be compromised when thermal short-circuiting occurs due to preferential flow through highly conductive fractures. This study introduces a pioneering approach using newly developed phenol polymer nanocomposites as an engineering solution to address the challenges associated with preferential flow in geothermal wells, which can lead to thermal short-circuiting. Multiple phenol polymer nanocomposites were formulated, incorporating aluminum oxide, COOH-functionalized graphitized multi-walled carbon nanotubes (MWCNTs), and graphene nanoparticles, each with a 0.5 wt.% polymer dosage. This research successfully modified the crosslinking process …

Women Doctoral Students In Computer Science: Nevertheless, They Persist, Shannon L. Mccoy-Hayes Edd

Teacher Education, Educational Leadership & Policy ETDs

Throughout millennia systemic restrictions have prevented women from full participation in science. Even now, with science ubiquitous to life as we know it, double standards impact women’s access and equal participation in STEM. Computer science (CS) is one STEM field where women remain significantly underrepresented in both academia and the workforce, yet despite decades worth of semi-annual reporting, there is still no consensus as to why. A survey was deployed to twenty-nine institutions inviting women doctoral students in CS to participate in personal interviews. Six women from different institutions at different stages of their programs responded. Qualitative interviews using phenomenological …

Online Temporal Data Mining And Learning: Pursuing Enhanced Efficiency And Robust Algorithms, Sheng Zhong

Computer Science ETDs

Time series data mining and learning serve as a cornerstone across various domains, including finance, healthcare, and science. Recent advancements in network and sensor technologies have ignited an increasing interest in real-time temporal data mining and learning techniques. Various tasks benefit from these techniques, such as environmental monitoring, event detection, anomaly identification, and forecasting. However, these techniques still face significant challenges in the online environment settings, encompassing aspects like efficiency, accuracy, robustness, and scarcity of labeled data. This dissertation presents four innovative solutions: FilCorr, DCT-MASS, FewSig, and BitLINK to overcome these challenges. We evaluate each method and showcase their practical …

Securing The Skies: Safety-Constrained Decentralized Multi-Uav Coordination With Deep Reinforcement Learning, Jean-Elie Pierre

Electrical and Computer Engineering ETDs

In the dynamic landscape of autonomous aerial systems, the integration of uncrewed aerial vehicles (UAVs) has sparked a paradigm shift, offering unprecedented opportunities and challenges in collaborative decision-making and navigation. This thesis explores the application of multi-agent reinforcement learning (MARL) for the planning and coordination of UAVs in complex environments.

The first part of this thesis provides an introduction to single-agent reinforcement learning and MARL. We provide examples of the use of MARL for countering uncrewed aerial systems (C-UAS). We formulate the Counter-UAS problem as a multiagent partially observable Markov decision process (MAPOMDP), and we propose Multi-AGent partial observable deep …

Indigenous Land Acknowledgement, Learning Spaces, And Sacred Places As Factors For Native American First-Year Students In Higher Education, Danielle E. Yepa Gunderson

Teacher Education, Educational Leadership & Policy ETDs

Native American undergraduate students have the lowest college degree completion rates, between 0.7% and 1%, of those earning an undergraduate degree (National Center for Education Statistics, 2017). The purpose of this study was to contribute to the research literature to improve college success by answering this research question: What are the experiences of first-year Native American college students when Indigenous land acknowledgement, dedicated learning spaces, and sacred spaces are present on their campus? This research was a baseline exploratory study that utilized a quantitative approach to survey first year, Native American students at nine public higher education institutions in the …

Multi-Physics-Based Modeling Of Cracks In Asphalt Concrete, Md Amanul Hasan

Civil Engineering ETDs

Cracking is the most prevalent distress in an asphalt concrete (AC) pavement, and it leads to structural deterioration and premature failure, thereby costing taxpayers a lot of dollars. Accurately assessing AC's cracking performance is necessary for pavement longevity, yet current methods often fall short. For instance, relying solely on binder creep tests to determine low-temperature grade inadequately predicts the AC pavement's low-temperature cracking problem. Understanding AC's loading rate- and temperature-dependent fracture behavior is crucial for gaining insight into the crack propagation in AC. In the first part of this study, a new physics-based analytical methodology is developed utilizing the bending …

Comparative Analysis Of Sexual Harassment Policy And Implementation, Melanie Sayuri Dominguez

Political Science ETDs

Over the past three decades, as an increasing number of states have adopted sexual harassment legislation, many studies have examined the choices countries make to address and combat this issue. However, questions remain about what causes states to act while others resist change, why some countries choose to only introduce weak legislation rather than aggressively tackling the issue, and how people on the ground receive these policies. This dissertation uses a macro, meso, and micro approach to answer these questions on sexual harassment policy and implementation. First, using large-n data, I find that strong, feminist movements are correlated with the …

Evaluation Of Error Sources In Dynamic Multiple-Input Multiple-Output (Mimo) Tests, Odey Yousef

Civil Engineering ETDs

Dynamic testing of systems is used to characterize the relationship between inputs and outputs using frequency response functions (FRFs). Multiple input and multiple output (MIMO) techniques are crucial for realistic representation. In MIMO tests, environmental conditions are replicated by inverting the FRF matrix for input estimation. Steps include system identification, FRF inversion, input estimation, and input application. Each of these steps are nontrivial and require careful attention. Error sources manifest as error between desired and experimental outputs. Significant efforts to minimize this error exist, yet literature lacks a formal understanding of their origins. This research focuses on 3 of these …