University of New Mexico Digital Repository
Not a member yet
148775 research outputs found
Sort by
A Neutrosophic Number System for Modeling Ambiguity and Conflict in Industry-Education Collaboration for Vocational College Talent Cultivation
No full textNeutrosophic Intelligence for Secure UAV Communication: A Machine Learning Framework for Uncertainty-Aware Link Classification
No full textMS4 SWMPP 2025
Full text linkStormwater discharges from Sandia National Laboratories/New Mexico (SNL/NM) are eligible for coverage under the National Pollutant Discharge Elimination System (NPDES) Municipal Separate Storm Sewer System (MS4) Permit. This Stormwater Management Plan (SWMP) was prepared by National Technology and Engineering Solutions of Sandia (NTESS) for the Department of Energy (DOE) National Nuclear Security Administration (NNSA) Sandia Field Office (SFO), owner of SNL/NM, located in Albuquerque, NM
Structured Analysis of a Generator Set Lubrication System Using Vertex Articulation in Plithogenic n-SuperHyperGraphs
No full textThe primary function of the generator set installed in a remote oil field location is to supply electrical power for crude oil extraction. Due to operational demands, the lubrication system was upgraded to improve oil quality and reduce particulate contamination. This study assessed particulate contamination by applying the ISO 4406 cleanliness code, evaluating oil properties, and monitoring engine wear, using the Plithogenic n-SuperHyperGraph model as a structural framework. Oil samples were analyzed before and after implementing an external microfiltration system. Initial ISO codes of 22/21/19 were recorded; after 552 hours of operation, the ISO code improved to 19/18/15, achieving 91.25% efficiency. Post-1051-hour analyses confirmed wear levels remained below the control limit. The results demonstrate the system’s technical and operational viability, supporting its potential economic and environmental feasibility in similar industrial settings
Measuring the degree of agreement between teachers\u27 and employers\u27 perceptions of the pedagogical model, using plitogenic statistics
No full textThe systemic model of pedagogical management in the professional training of administrators of Instituto Superior Tecnológico Bolivariano de Tecnología (Ecuador) is assessed based upon the controversial findings of teachers and employers. The authors applied plithogenic statistics to quasi-measure the consensus/controversy between perceptions and triangulated data (interview with professors, survey with students and employers). It seems the significant controversy suggests that 1) systematic pedagogical management does not exist; 2) there\u27s no pedagogical connection between university and enterprises; 3) teachers are not certified in innovative methodologies. Thus, a systematic model is recommended that relies upon strategic assessments to ensure vocational training relative to the productive sector\u27s actual needs, providing administrators\u27 vocational opportunities and externships and equipping them with analytical, critical thinking skills to minimize time spent recalling the company later on
Predictive model of school dropout in higher education through Learning Analytics with Neutrosophic Plithogenic Hypotheses
No full textHigher education dropout rates are an international problem, as many people abandon their studies, especially in the early years. This problem affects institutions, causing significant losses. In this context, it is essential to consider methods that allow for predicting dropout rates and taking rapid and effective measures. Objective: The main objective is to analyze prediction models using Learning Analytics, integrating neutrosophic plithogenic hypotheses, to identify early the risk of dropout in higher education. This provides institutions with useful tools to implement actions that help retain more students, considering uncertainty and complex interactions between academic and non-academic factors. Methodology: The method used was quantitative, based on a selection of data from Bernardo O\u27Higgins University. Statistical methods with information extraction through logistic regression, factor analysis and HJ-Biplot were employed, complemented by a neutrosophic plithogenic hypothesis approach to model uncertainty in predictor variables, showing clarity regarding students who could drop out. Results: These results make it possible to identify students with problems more quickly, facilitating the implementation of specific supports from the institution, with greater precision by incorporating indeterminacy and plithogenic interactions between variables. Conclusion: The combination of statistical models with neutrosophic plithogenic hypotheses becomes a useful tool to address student dropout, allowing the development of rapid actions that contribute to educational improvement by capturing the complexity of the factors involved
Financial Dynamics of Cooperatives of the Popular and Solidarity Economy of Ecuador: An Analysis Using the Tucker3 Model and Projection with Multidimensional Neutrosophic Regression
No full textThis study relies on the Tucker3 model as a factorization model of multivariate analyses since the goal is to evaluate the financial dependency structure of Ecuador\u27s cooperative sector of the Popular and Solidarity Economy (PSE) between 2016–2023. A population sample of 25 cooperatives belonging to segment 1 was analyzed in terms of their behavior across seven significant financial variables for eight consecutive years, factoring into a 25×7×8 tensor. Relative to variances in behavior, the ultimate benefits of some entities become clear as high profitability and sound liquidity trends emerge over time; yet for others, high delinquency and non-growth levels emerge. The purpose of the tensor decomposition is to acknowledge significant associative patterns over time across entities and variables assessed at this level, leading to three clear temporal moments: growth, crisis and recovery. In addition, this study contributes a second method to the literature by applying Multidimensional Neutrosophic Regression to also assess the financial dependency relationships based on ambiguity, contradiction and uncertainty. This enables the financially relevant coefficients, determined by Multidimensional Neutrophilic Regression to be assessed with truth, falsity and uncertainty degrees simultaneously, allowing for better results interpretation to more nuanced assessments of cooperative performance under unstable conditions. Ultimately, the results advocate for differentiated lines of intervention and more accurate crisis warning systems, with findings applicable to regulatory, managerial and academic settings where improvements of the stable, strategic application of this cooperative sector are needed
