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    Setpoint temperature estimation to achieve target solvent concentrations in S. cerevisiae fermentations using inverse neural networks and fuzzy logic
    (Elsevier BV, 2024-01)
    Vinicio Moya-Almeida
    ;
    Belén Diezma-Iglesias
    ;
    Eva Correa-Hernando
    ;
    Cristian Vaquero-Miguel
    ;
    Over the years, many technical advances have been made to improve the final quality of beers by controlling the concentrations of compounds obtained at the end of alcoholic fermentation. However, these efforts have mainly focused on increasing ethanol and reducing other compounds considered defects. This study addresses the challenge of obtaining specific concentrations of four solvent compounds (isobutanol, ethyl acetate, amyl alcohols, and n-propanol) produced by the yeast S. cerevisiae Safale S04, determined by an expert. A model based on four inverse neural networks (INNs) has been developed to predict the target temperature required to achieve the desired concentrations. These INNs have been trained using virtual data generated by four artificial neural networks (ANNs), as described in detail in previous work. For implementation, a fuzzy control system based on the Mamdani inference method was utilized. To experimentally validate the results, four complete fermentations were conducted. The INNs were found to be accurate tools for predicting the target temperatures based on predetermined compound concentrations, with R2 values ranging from 0.982 to 0.986. When comparing the experimental concentration data, the most accurate prediction was achieved for n-propanol, with an average error of 0.18 mg L−1, while ethyl acetate had an error of 0.25 mg L−1, isobutanol had an error of 0.48 mg L−1, and amyl alcohols, being the least precise prediction, had an error of 0.83 mg L−1.
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    Quantitative assessment of urban sustainability perceptions in Lurin, Peru
    (Pensoft Publishers, 2024-08-06)
    Ruth Ojeda-Zaga
    ;
    Vinicio Moya-Almeida
    ;
    ;
    In the current context, urban centres in Latin America are facing fundamental challenges in their endeavour for Sustainable Development. The focus of this study is the meticulous assessment of the perception of urban sustainability within the Lurín District of Peru. It introduces a system based on urban sustainability indicators, derived from social surveys and implements this system through linear regression models to discern their interrelations. The objective of the research is to quantify and evaluate essential elements linked to the management of natural resources, air and water quality, the advancement of sustainable mobility, education and the well-being of urban residents. By delineating these mathematical and statistical correlations amongst variables pertinent to urban sustainability, this study provides a robust framework for quantitative decision-making in the urban sphere. A methodology for the development of univariable and multivariable models has been demonstrated. Amongst the most important findings, it has been discovered that the variable Environmental Education System (SEA) is perceived as the least important and even negligible within the multivariable models. However, we believe this effect occurs because the impacts of education are perceived in the long term. This article contributes significantly to the academic discourse by providing a more nuanced understanding of the social perception of urban sustainability and its influence on policy formulation and decision-making processes in Latin America.
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    Comparative Thermal Performance and Return on Investment of Glazing Configurations in Building Envelopes: The Case of the Plataforma Gubernamental Norte in Quito, Ecuador
    Glazed façades play a decisive role in building energy performance, particularly in high-radiation equatorial climates. This study examines the thermal behavior and economic feasibility of three glazing systems—10 mm monolithic clear glass, laminated solar-control glass, and selective double glazing—applied to the Plataforma Gubernamental Norte, the largest institutional building in Ecuador. Dynamic simulations using DesignBuilder with the EnergyPlus engine assessed solar gains, HVAC demand, and operative temperatures, complemented by a sensitivity analysis of SHGC, U-value, and Tvis. Results indicate that selective double glazing reduced annual HVAC consumption by 78.21% (110.6 MWh), while laminated glazing achieved a 55.40% reduction. SHGC and U-value emerged as the most influential parameters, whereas Tvis had no impact on energy loads. Despite strong technical performance, the economic analysis revealed payback periods exceeding 235 years under Ecuador’s subsidized tariff (USD 0.10/kWh), compared to the 18–25 years commonly observed in Europe. This highlights the “efficiency paradox”: advanced glazing solutions deliver significant energy savings but remain financially unfeasible in subsidy-driven contexts. The findings underscore the need for policy reforms to better align façade design strategies with energy resilience, an issue particularly relevant after Ecuador’s 2024 electricity crisis and ongoing debates on subsidy elimination.
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    Evaluation and mapping of the positive and negative social values for the urban river ecosystem
    (Pensoft Publishers, 2023-07-10) ;
    Vinicio Moya-Almeida
    ;
    Francisco Cabrera-Torres
    ;
    Andrea Medina-Enríquez
    Urban rivers play a crucial role in providing ecosystem services (ES) that contribute to the social well-being and quality of life of urban inhabitants. However, rapid urbanisation has led to the progressive degradation of these rivers, affecting their capacity to deliver ES and resulting in significant socio-ecological impacts. This study performs a participatory mapping of the non-monetary social values (positives and negatives), in the urban Zamora and Malacatos Rivers and their ESs, in Loja, Ecuador, to understand community perceptions and preferences in a context of degraded landscapes as a complementary category of analysis to traditional approaches. Methodologically, the collection, analysis and mapping were carried out using public participation GIS (PPGIS) based on surveys. This method facilitated the integration of social data with biophysical variables. The most relevant of the ten social values studied were positives: Learning, Aesthetic, Therapeutic and negatives: Displeasure, Deficient and Inaccessible Infrastructure and Threat of Flooding. We revealed different spatial patterns for each ES social value, where positive value locations exhibited a dispersed pattern, with clusters in peripheral areas, while negative value locations exhibited a clustered pattern in the city centre. The environmental variable with the most significant contribution was the Horizontal Distance to Green Areas. These findings enhance our understanding of the social values and preferences associated with ES in urban river contexts. Furthermore, they provide valuable insights for identifying areas of opportunity and conflict, informing community planning and effective management of the urban landscape.</jats:p>