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Prenatal Exposure to PM2.5 Concentration and Risk of Preterm Birth In New Mexico; A Seasonal Pattern and Spatio-Temporal Modeling.
No full textThis study investigates the association between prenatal PM2.5 exposure and preterm birth risk in New Mexico (2014–2021). Using descriptive statistics, time series models, and spatial analyses, findings show an average preterm birth rate of 14.87 per 1,000 live births, with moderate correlation (r = 0.727) between PM2.5 levels and very preterm births. While traditional models revealed no significant global effect, spatial methods such as Geographically Weighted Regression (GWR) and Multiscale GWR uncovered strong spatial heterogeneity. PM2.5 effects varied by county (coefficients: -0.00154 to 0.00150), with clustering evident in 2018–2019 (Moran’s I = 0.155–0.174). Results highlight the limitations of global models and advocate for spatially targeted interventions and seasonal risk mitigation. Recommendations include localized air quality alerts, improved monitoring, and policies tailored to high-risk areas
Identification of aspects and barriers to implementing branding strategies in female entrepreneurship in the city of Guayaquil based on Plithogenic Neutrosophic Vague Statistics
No full textBranding is one of the marketing strategies that a business must follow to contribute to its prosperity. It is not just about giving a name with a logo; it is about spreading a seal of identity that makes customers identify with the company\u27s products. If creating a successful branding strategy in the market is difficult for any entrepreneur, this is even more difficult for women entrepreneurs. As is known in business, in the labor market, and in everyday life, women face more significant challenges than men. Added to this is the fact that Ecuador is a developing country where there are considerable financial and economic limitations when it comes to boosting a business. This paper aims to identify the aspects and barriers to consider when creating an e-learning platform to help women entrepreneurs in the city of Guayaquil launch their brands. To this end, a survey is designed to identify these aspects. To process the data statistically, we prefer to use Plithogenic Statistics, with data in the form of Neutrosophic Vague Sets. On the one hand, the Plithogenic Statistics allows us to gather probabilities for the various aspects to be considered, including economic, political, social, and other factors. Furthermore, Neutrosophic Vague data allows us to capture greater accuracy in responses and address uncertainty
Analysis of Indicator Dynamics in Agricultural Sustainability using Neutrosophic Cognitive Maps
No full textAgricultural sustainability is a complex system influenced by interconnected environmental, economic, and sociocultural factors, whose relationships are often marked by uncertainty. This study addresses the interdependence of these factors using Neutrosophic Cognitive Maps (NCMs), a methodology capable of modeling causality in complex systems by incorporating degrees of truth, falsity, and indeterminacy. Twelve key indicators across the three dimensions of sustainability were selected, and an NCM was constructed based on expert criteria to visualize and analyze their dynamic interactions. Centrality analysis, following a de-neutrosophication process, revealed that sociocultural indicators, specifically the well-being of the agricultural community (X12) and the preservation of traditional knowledge (X11), along with economic resilience to shocks (X8), possess the greatest influence within the system. Findings underscore the strong interconnection between dimensions, highlighting, for example, the positive influence of traditional knowledge on biodiversity (X1) and the tension between productivity (X5) and natural resources (X2, X3) if not managed sustainably. The research demonstrates the utility of NCMs for capturing the complexity and uncertainty inherent in agricultural sustainability and offers a basis for developing more integrated and adaptive strategies and policies, recognizing the fundamental role of sociocultural dynamics and economic resilience
Strategies for Harmonic Mitigation in Water Pumping Systems Using Neutrosophic Logic.
No full textThis study analyzed harmonic contamination in Quillán 1 and Quillán 2 pumping stations, characterizing the electrical system conditions and proposing solutions that addressed actual operational requirements. High levels of harmonic distortion were identified, particularly in 5th and 7th order harmonics, which exceeded the limits established by national regulations, despite the system presenting adequate energy utilization. To select the most appropriate mitigation strategy, the TOPSIS method under neutrosophic logic was applied, which allowed the integration of expert perception and the inherent indetermination margins of such systems. This logic, which simultaneously considers degrees of truth, falsehood, and uncertainty, enabled the evaluation of solutions with-out forced simplifications. The highest-rated option was the implementation of tuned passive filters, which were subsequently designed, simulated, and validated through specialized tools. The simulations demonstrated a sub-stantial reduction of critical harmonics and a general improvement in power quality, ensuring regulatory com-pliance. The study highlighted the importance of using neutrosophic logic in combination with multicriteria de-cision methods as an effective resource for addressing complex electrical problems in real technical contexts, where absolute precision is not always possible or desirable
SuperHyperSoft Set for Selection Strategies for Achieving Human Rights in Artificial Intelligence through Civil Public Interest Litigation
No full textHarmonizing Aesthetics and Sustainability through the Evaluation of Environmental Art Design in Green Architecture using the Triangular UnderNorm
No full textA Recursive IndetermTree Soft Set (RIT-Soft Set) for Dynamic and Uncertain Performance Evaluation in College Competitive Sports
No full textMachine Learning Models with Neutrosophic Numbers for Cloud Security Analysis and Smart Grid Control of Renewable Energy
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