Digital Commons Network^™

Analysis Of The Potential Impacts Of Brine And The Main Challenges Of The Water Importing Project From The Gulf Of California To Phoenix, Arizona (Arizona Water Project Solution), Alejandro Corral Hernandez

Water Resources Professional Project Reports

In December 2022, the Arizona Water Project Solution (AWPS) was presented to the Water Infrastructure Finance Authority of Arizona (WIFA). The project proposes to develop, construct, and operate a Seawater Reverse Osmosis (SWRO) plant in Puerto Peñasco, Sonora, Mexico, and transport potable water through a 200-mile pipeline to supply the city of Phoenix, Arizona, in the United States.

This study includes a cross-multiple-case analysis, incorporating expert data and information, to evaluate the brine impacts and challenges faced in developing the five operational SWRO plants in Israel and the Claude “Bud” Lewis Carlsbad plant in California, United States. By identifying patterns, …

Spatial And Equity Analysis Of The Xeriscape Conversion Rebate Program In Albuquerque, Nm., Claire Jordy

Water Resources Professional Project Reports

With increasing water scarcity concerns threatening water supplies, many cities in the Western U.S. are focusing more effort on their water conservation programs to reduce consumptive water use. The Albuquerque Bernalillo County Water Utility Authority (Water Authority) in Bernalillo County, NM has had several water conservation programs in place since the 1990s, and still, they aim to further reduce water consumption. The Xeriscape Conversion Rebate Program is one of the primary tools to achieve this goal, encouraging customers to convert their high water-use turfgrass lawns to desert-friendly xeriscaping by providing a one-time rebate on their water bill. This rebate program …

New Approach Single Valued Neutrosophic Sets For Teaching Quality Challenges Evaluation In College Public English Broad Impacts, Xiao Ma

Neutrosophic Sets and Systems

Previous research on teaching quality challenges in college public English has relied on methods that accept vague or fuzzy inputs. Single-valued neutrosophic Sets (SVNSs) are used to handle uncertain or unclear expert assessments by allowing both precise and imprecise data to be analyzed together. This approach ensures that valuable information is not lost during the evaluation process. To improve decision-making in multi-criteria decision-making (MCDM) problems, this study introduces a new integrated framework that combines the EDAS method with the MEREC method for criteria weight computation under the SVNS environment. The MEREC method is applied to determine the importance of each …

Isotopic Properties Of Neutrosophic Soft Quasigroup And Its Application In Decision-Making, Benard Osoba, Oyebo Tunde Yakub, Abdulkareem Abdulafeez Olalekan, Oyewole Oluwapamilerin, Adenibuyan Micheal Tokunbo, Oluwatobi Balogun, Adekola Lanrewaju Olumide

Neutrosophic Sets and Systems

A Q-neutrosophic soft quasigroup (ϕ Q, A) represents a novel mathematical framework designed to address scenarios characterized by indeterminate occurrences. This paper seeks to extend the classical examination of quasigroups to include Q-neutrosophic soft quasigroups. It provides a thorough investigation into isotopism, homomorphism, isomorphism, and the direct product concerning the hybrid concept of neutrosophic soft sets under a non-associative structure. This research expands the concept of the Q-set to a groupoid, which facilitates the development of an algorithm for Q-neutrosophic soft quasigroups. The definitions of isotopism and homomorphism for Q-neutrosophic soft quasigroups are introduced, revealing that every isotope of a …

Advanced Machine Learning Approaches For Breast Cancer Detection With Neutrosophic Sets, Hussam Elbehiery, Hanaa Fathi, Mohamed Eassa, Ahmed Abdelhafeez, Mohamed Refaat Abdellah, Hadeer Mahmoud

Neutrosophic Sets and Systems

Breast Cancer (BC) remains a significant health challenge for women and is one of the leading causes of mortality worldwide. Accurate diagnosis is critical for successful therapy and increased survival rates. Recent advances in medical imaging and computational technologies have enabled more precise methods of detecting and evaluating breast cancer. Accurate analysis and diagnosis utilizing medical imaging have developed as essential research topics, providing important help in clinical decision making for various illnesses, including breast cancer. Machine learning (ML) can accurately predict breast cancer. But the breast cancer data has vague and uncertainty information. So, the neutrosophic sets (NSs) are …

Adaptive Triangular Linguistic Neutrosophic Cubic Fuzzy Sets For College English Blended Teaching Mode Evaluation Method, Hongxia Cui

Neutrosophic Sets and Systems

This paper presents a proactive strategy that employs a multiple-criteria decision-making (MCDM) model as an evaluation tool. To assess online and offline blended teaching modes for college English, we propose an evaluation framework called CIMAS-COBRA, which integrates the Criteria Importance Assessment (CIMAS) method for determining criteria weights and the Cost Estimation, Benchmarking, and Risk Assessment (COBRA) method for ranking alternatives. Both methods operate under the Triangular Linguistic Neutrosophic Cubic Fuzzy Sets framework to handle uncertain and vague data. Seven criteria and ten alternatives are examined in this study. The Triangular Linguistic Neutrosophic Cubic Fuzzy Number approach is employed to evaluate …

Landscape Design Quality Evaluation Of Abandoned Coal Mine Sites Using Single-Valued Triangular Neutrosophic Numbers, Ye Liang

Neutrosophic Sets and Systems

This research uses Single-Valued Triangular Neutrosophic Numbers (SVTNNs) to address uncertainty and vague problems in the Abandoned Coal Mine Sites evaluation. By adjusting the subjective assessments, Single-Valued Triangular Neutrosophic Numbers handle degrees of affiliation and disassociation as well as additional unclear degrees of neutral opinion. The WENSLO approach is used to compute criteria weights. To develop a hybrid model that handles ambiguity more adaptable, this study combines the WENSLO method with the Single Valued Triangular Neutrosophic Numbers-based REGIME strategy. In conclusion, we used these methods to confirm the precision of the calculations made using the suggested approach. The fundamental idea …

Enhancing Missing Data Imputation For Migrants Data: A Neutrosophic Set-Based Machine Learning Approach, Doaa A. Abdo, A. A. Salama, Alaa A. Abdelmegaly, Hanan Khadari Mahdi Mahmoud

Neutrosophic Sets and Systems

This study tackles the problem of missing data in migrant datasets by introducing a new framework that combines machine learning techniques with neutrosophic sets. These sets, which can represent uncertainty and ambiguity, are well-suited for managing the complex nature of missing information in sensitive fields like migration research. We test the effectiveness of KNN, SVM, decision tree, random forest, and Ada Boost algorithms on a migrant dataset, comparing their results using different imputation methods (mean/mode, model-based imputer (simple tree), and random values). Our research showed that our proposed approach, which used neutrosophic sets, improved imputation accuracy and strengthened model reliability. …

Human Capital And Innovation In Developed And Developing Countries: A Systematic Literature Review Using Methodi Ordinatio And Hypersoft Sets, Leonardo José España-Barraza, Efraín Javier De-La-Hoz-Granadillo, Katia Ninozca Flores-Ledesma

Neutrosophic Sets and Systems

This article aims to analyze the influence of human capital on innovation. To achieve this, the Methodi Ordinatio methodology was used. The search for scientific articles was done using the Scopus and Web of Science databases. Only documents published between 2013 and 2023 were selected. The systematic review of the literature shows that human capital is relevant in promoting innovation in any type of economy; however, the impact may vary depending on the economic and regional context being studied. The data obtained are analyzed with the help of the hybridization of the Methodi Ordinatio with the HyperSoft Sets theory. In …

The Potential Of Alliances For Regional Productive Development From The Tutorial Centers Of The University Of Cartagena Measured With The Support Of Plithogenic Swot Analysis, Edgardo Antonio Carmona-Arrieta, Katia Ninozca Flores-Ledesma, Álvaro Andrés Escobar-Espinoza, Abrahan Cesar Neri-Ayala, Pedro Barrientos-Gutiérrez, Pablo José Guerrero

Neutrosophic Sets and Systems

The University of Cartagena in Colombia, with its 104 recognized research groups in various fields such as health, social sciences, engineering, basic sciences, environment, and sustainable development, expands its academic reach by establishing Tutorial Centers in Bolívar and Córdoba. The objective of these centers is to offer distance learning opportunities, thus increasing access to education for the local population. This study explores the potential of forming strategic alliances with the productive sector, taking advantage of the resources and strategic benefits of these centers. In this paper, we measure the po tentialities, based on the Plithogenic SWOT Analysis. The SWOT analysis …

The Pulse - March 27, 2025, Unm Hsc Marketing & Communications

The Pulse

Weekly newsletter of the UNM Health Sciences Center.

Drug Targets Illumination: An Evidence-Based Data Analytics & Informatics Approach To Hypothesis Generation Through Clinical Trials And Genomic Variants, Jeremiah I. Abok

Chemistry and Chemical Biology ETDs

DRUG TARGETS ILLUMINATION: AN EVIDENCE-BASED DATA ANALYTICS & INFORMATICS APPROACH TO HYPOTHESIS GENERATION THROUGH CLINICAL TRIALS AND GENOMIC VARIANTS

Target Illumination Clinical Trial Analytics with Cheminformatics (TICTAC) introduces a scalable data integration pipeline that aggregates multivariate clinical trial evidence to systematically rank disease–target associations. By harmonizing metadata from AACT and employing confidence-scoring techniques, TICTAC facilitates hypothesis-driven target selection for drug discovery, enabling a data-driven approach to therapeutic development. In parallel, a bioinformatics-driven analysis of gnomAD exome mutations in the ZPR1 gene highlights the broader role of genetic variants in disease association. By employing variant effect predictors, protein stability modeling, and …

Integrating Zotero With Your Writing: From Research To Publication, Evelyn Wang

HSLIC Faculty and Staff Instructional Resources

This workshop presentation provides a comprehensive guide on using Zotero for research and writing. It covers installation, reference collection, organization, citation insertion, bibliography generation, PDF management, and advanced features of Zotero. The presentation aims to enhance researchers' and writers' efficiency in managing references throughout the research and publication process.

The Pulse - March 20, 2025, Unm Hsc Marketing & Communications

The Pulse

Weekly newsletter of the UNM Health Sciences Center.

Healthy Here Active Living Year 1 Summary, Camille R. Velarde, Courtney A. Fitzgerald, Theresa H. Cruz

Reports & Documents

No abstract provided.

Healthy Here Immunization Year 1 Summary, Camille R. Velarde, Courtney A. Fitzgerald, Theresa H. Cruz

Reports & Documents

No abstract provided.

Healthy Here Healthy Eating Year 1 Summary, Camille R. Velarde, Courtney A. Fitzgerald, Theresa H. Cruz

Reports & Documents

No abstract provided.

The Pulse - March 13, 2025, Unm Hsc Marketing & Communications

The Pulse

Weekly newsletter of the UNM Health Sciences Center.

04-03-25 Hsc Committee Meeting Notice, Patricia Serna

HSC Committee (A subcommittee of the UNM Board of Regents)

04-03-25 HSC Committee Meeting Notice

The Relationship Between Closed-Loop Auditory Stimulation During Sleep And Eeg On Memory Consolidation, Hector Patricio Valverde

Psychology ETDs

Slow-wave sleep is critical for consolidating information into long-term memory. Past research has found this process can be enhanced using closed-loop auditory stimulation (CLAS), where pink noise tones are timed to slow oscillations using live EEG to increase slow wave amplitude and synchronize connections across the neocortex, thalamus, and hippocampus. In this study, subjects slept in our laboratory while receiving counterbalanced sham or verum CLAS. Memory retention scores were calculated using a paired associates word task completed before and after sleep. Subjective sleep quality scores were also obtained. A total of 33 verum and 35 sham nights of data were …

The Pulse - March 6, 2025, Unm Hsc Marketing & Communications

The Pulse

Weekly newsletter of the UNM Health Sciences Center.

Superhypersoft Framework For College English Blended Teaching Quality Evaluation In The New Era: Addressing Uncertainty And Complexity, Dahai Zhang

Neutrosophic Sets and Systems

A Single-Valued Neutrosophic Set (SVNS) is a powerful tool for representing uncertainty, ambiguity, and incomplete or inconsistent information in real-world scenarios. This approach is particularly effective for handling uncertain measurements and data. Building on the concept of fuzzy set entropy, the SVN-entropy method has been developed to support multi-criteria decision-making (MCDM) processes. In this study, SVN-entropy is combined with the SuperHyperSoft (HSS) framework—an extension of HyperSoft sets— to evaluate different criteria and sub-criteria with varying values. The proposed method uses entropy to calculate criteria weights, which are then applied to assess the quality of College English Blended Teaching in the …

Innovative Efficiency Measurement Using Stackelberg Games And Neutrosophic Numbers, Ali Asghar Tatlari, Bijan Rahmani Perchkolaei, Farhad Hosseinzadeh Lotfi

Neutrosophic Sets and Systems

This paper addresses the challenge of measuring efficiency in systems with two components using Stackelberg game theory and neutrosophic numbers to handle data uncertainty. Unlike traditional Data Envelopment Analysis (DEA) models that treat Decision Making Units (DMUs) as black boxes, we propose a new neutrosophic Network DEA (NDEA) model to compute efficiency scores for each division. By applying Stackelberg game theory, we break down the system's efficiency scores into sub-system efficiencies, providing a more detailed assessment of performance. Our proposed model represents a significant contribution to the literature by developing a two-stage Network Slack Based Measure (NSBM) model. This model …

Enhanced Neutrosophic Set And Machine Learning Approach For Kidney Disease Prediction, Humam M Al-Doori, Tareef S Alkellezli, Ahmed Abdelhafeez, Mohamed Eassaa, Mohamed S. Sawah, Ahmed A El-Douh

Neutrosophic Sets and Systems

Kidney disease (KD) is a gradually increasing global health concern. It is a chronic illness linked to higher rates of morbidity and mortality, a higher risk of cardiovascular disease and numerous other illnesses, and expensive medical expenses. The machine learning (ML) models are applied for KD prediction with higher accuracy and precision. The KD dataset has uncertainty and vague information, so, we used the neutrosophic set (NS) to deal with vague and uncertainty information in the KD dataset. The KD dataset is converted into the N-KD dataset with three membership functions: truth, indeterminacy, and falsity. Three ML models are used …

Quality Evaluation In Hospital Operations Management Using Multi-Criteria Decision-Making With Plithogenic Approach To Address Uncertainty And Enhance Decision-Making Processes, Meng Zhang, Yafang Li

Neutrosophic Sets and Systems

Coordination of medical facilities' operations depends on operations management. Hospitals must function effectively to meet the medical demands of their patients, who get critical and emergency treatment. The decision support system for Quality Evaluation in Hospital Operations Management is created in this study. Plithogenic sets and multicriteria decision-making (MCDM) form the foundation of this decision assistance system. The study presents a novel approach to evaluating and rating Hospital Operations Management. Alternatives are ranked using the plithogenic reference-based normalization alternative ranking (RBNAR) technique. Thus, the algorithm for plithogenic-RBNAR is constructed and presented. An analysis of Hospital Operations Management is conducted using …

Contagion: An Introduction To Infectious Disease & New Mexico Health History, Abbie Weiser Olivas, Deirdre Caparoso, Claire Hannon, Amy Weig-Pickering

Projects

Traveling exhibit about New Mexico health history and infectious disease. This exhibit was created as part of a HSLIC seed funding grant that was awarded to Deirdre Caparoso, Amy Weig-Pickering, and Abbie Weiser Olivas. Access the HSLIC Traveling Exhibits LibGuide here: https://libguides.health.unm.edu/travelingexhibits. Exhibit concept, text, and image selection by Abbie Weiser Olivas. Design and graphics by Claire Hannon.

Non-Destructive Detection Of Fillet Fish Quality Using Mq135 Gas Sensor And Neutrosophic Logic-Enhanced System, M. Y. Shams, M. R. Darwesh, Roheet Bhatnagar, N. S. A. Al-Sattary, A. A. Salama, M. S. Ghoname

Neutrosophic Sets and Systems

This paper demonstrates the feasibility of using an electronic nose to assess fish quality by analyzing air quality and examining volatile organic compounds (VOCs) alongside physical variables, with pH, protein content, and VOCs serving as chemical reference points. Artificial intelligence algorithms were employed to predict quality and calculate regression coefficients. Using the reference neural network algorithm based on chemical and physical compounds, regression coefficients (R values) achieved were 0.99, 0.98, and 0.97, respectively. Additionally, ANFIS (Adaptive Neuro-Fuzzy Inference System) produced R values of 0.99, 0.85, and 0.98. Both fuzzy logic and ANFIS proved effective for predicting fish quality. Image processing …

Neutrosophic Sets And Systems, Vol. 80,2025, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez

Neutrosophic Sets and Systems

No abstract provided.

Study Of Knowledge, Attitude, And Practice Of Self-Medication In Riobamba, Ecuador Based On An Indeterminate Likert Scale, Lizbeth Geovanna Silva-Guayasamín, Zully Mayra Romero-Orellana, Lisbeth Josefina Reales-Chacón, Isaac Germán Pérez-Vargas, Sulema De La Caridad Hernández-Batista, Carlos Antonio Escobar-Suárez, María López-Pino, Josselyn Gabriela Bonilla-Ayala

Neutrosophic Sets and Systems

Self-medication (SM) is a significant public health problem in Riobamba, Ecuador, characterized by the use of drugs without a prescription. This practice carries risks such as inappropriate drug use and antimicrobial resistance. This study assesses the prevalence, associated factors, and attitudes towards SM in Riobamba. To do so, data were collected from 383 city residents, who also responded to a survey. To ensure the accuracy of the results, we asked respondents to answer some questions based on an Indeterminate Likert Scale. In this way, people can evaluate each of the different opinions, thus obtaining a more reliable result of the …

Neutrosophic Formulation Of The Quadratic Transmuted Generalized Exponential Distribution: Properties And Applications, Kumarapandiyan Gnanasegaran, Benitta Susan Aniyan, Abdul Kani Jabarali

Neutrosophic Sets and Systems

The Quadratic Transmuted Generalized Exponential Distribution (QTGED) enhances the general ized exponential distribution, making it a significant development for handling complex decision-making con texts. Traditional statistical distributions often focus on representing degrees of truth or membership in fuzzy sets, yet they struggle to capture situations involving incomplete, vague, or contradictory data accurately. This study introduces the Neutrosophic Quadratic Transmuted Generalized Exponential Distribution (NQTGED), specifically designed to address indeterminacy and transmuted data. Neutrosophic theory is essential here, as it overcomes the limitations of classical and fuzzy set theories by effectively managing uncertainty, indetermi nacy, and inconsistency in data. By simultaneously representing …