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Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

El crecimiento exponencial de fuentes generadoras de datos ha dado lugar a nuevos desafíos computacionales. El desarrollo de técnicas y herramientas para el proce samiento y análisis de estos datos han popularizado el término “Big Data”. Las metaheurísticas y en particular las poblacionales han sido evaluadas como una alternativa ventajosa para resolver problemas de optimización a gran escala en campos como la minería de datos. Este trabajo se centra en adaptar la metaheurística Optimización en Mallas Variables al contexto de Big Data, utilizando el framework de procesamiento distribuido Apache Spark. Optimización en Mallas Variables es una metaheurística poblacional que maneja un conjunto de soluciones potenciales (nodos) organizados en una malla dinámica que se expande y contrae a través del espacio de búsqueda. Los experimentos demuestran que la implementación paralela de Optimización en Mallas Variables en Spark mejora significativamente la eficiencia y calidad de las soluciones en comparación con la versión secuencial. La paralelización permite resolver problemas de optimización combinatoria de mayor escala de manera más efectiva.

En el proceso de formación del Bachillerato Técnico, el estudio de automatismos y tableros eléctricos representa un área del conocimiento importante en la formación profesional. Sin embargo, en ocasiones existe una brecha entre la teoría y la práctica que no propicia el adecuado aprendizaje de los estudiantes. A partir del análisis antes expuesto, la presente investigación tiene como objetivo diseñar una estrategia metodológica que optimice el proceso de Enseñanza-Aprendizaje del módulo de automatismos y tableros eléctricos, para los estudiantes del bachillerato técnico con la aplicación del simulador CADe SIMU. La investigación asume una metodología caracterizada por un enfoque mixto, con un alcance explicativo-propositivo y un diseño cuasiexperimental que posibilito acercarse al uso del simulador CADe SIMU como herramienta diseñada para la simulación y diseño de circuitos eléctricos y automatismos. Se diseñó un sistema de actividades que permite probar circuitos eléctricos en un entorno virtual, reduciendo los riesgos y costos asociados con el uso de hardware real. Este enfoque no solo mejora la comprensión teórica, sino que también proporciona una valiosa experiencia práctica. Los resultados indicaron que la integración de CADe SIMU en el currículo puede reducir la brecha entre teoría y práctica, permitiendo a los estudiantes realizar experimentos ilimitados y recibir retroalimentación inmediata. Además, se observó un aumento en la motivación y el compromiso de los estudiantes, gracias a la gamificación del aprendizaje y la visualización en tiempo real de los resultados.

La comparación de resultados económicos en la Macro ruta central de Sogamoso de la red de aprovechamiento de residuos sólidos parte de la evaluación de alternativas de investigación de operaciones, aplicables a situaciones que exigen toma de decisiones, que pasan desde la optimización de redes, la técnica de proyectos PERT/CPM, hasta el uso de software para medir eficiencia y efectividad en la búsqueda de mejores resultados. Los problemas de redes resultan ser representaciones abstractas de actividades o procesos para la determinación del camino crítico con el uso de menos recursos, en este caso económico. La Macro ruta central de Sogamoso incluye modelos de ruteo a partir de la distancia más corta donde los costos se asocian directamente con esta variable. Los modelos de ruteo considerarán a los nodos como los puntos de recogida o contenedores de punto fijo y los arcos como los caminos entre cada uno de ellos.

El Balanced ScoreCard (BSC) o Cuadro de Mando Integral (CMI), es una herramienta gerencial que permite el control de la gestión en las áreas consideradas como críticas; para incrementar la rentabilidad y optimización de la misma. Esta investigación tuvo como objetivo evaluar el impacto del BSC en la gestión estratégica de la empresa Procesos Textiles EI.RL/PROTEK, en Perú. Se aplicó un diseño no experimental con pre test y pos test, que permitió medir la gestión administrativa antes y después de aplicar el BSC, para lo cual se diagnosticaron los factores externos e internos a través de un análisis FODA. Como resultado más relevante se elevaron los niveles de productividad, de satisfacción personal del talento humano y el número de clientes activos. Se concluye que el BSC es una herramienta de carácter estratégico, que hace más efectiva la comunicación logrando un aumento en la productividad y un incremento en las finanzas.

Plans for expanding protected area systems (prioritizations) need to fulfill conservation objectives. They also need to account for other factors, such as economic feasibility and anthropogenic land‐use requirements. Although prioritizations are often generated with decision support tools, most tools have limitations that hinder their use for decision‐making. We outlined how the prioritizr R package (https://prioritizr.net) can be used for systematic conservation prioritization. This decision support tool provides a flexible interface to build conservation planning problems. It can leverage a variety of commercial (e.g., Gurobi) and open‐source (e.g., CBC and SYMPHONY) exact algorithm solvers to identify optimal solutions in a short period. It is also compatible with a variety of spatially explicit (e.g., ESRI Shapefile, GeoTIFF) and nonspatial tabular (e.g., Microsoft Excel Spreadsheet) data formats. Additionally, it provides functionality for evaluating prioritizations, such as assessing the relative importance of different places selected by a prioritization. To showcase the prioritizr R package, we applied it to a case study based in Washington state (United States) for which we developed a prioritization to improve protected area coverage of native avifauna. We accounted for land acquisition costs, existing protected areas, places that might not be suitable for protected area establishment, and spatial fragmentation. We also conducted a benchmark analysis to examine the performance of different solvers. The prioritization identified 12,400 km2 of priority areas for increasing the percentage of species’ distributions covered by protected areas. Although open source and commercial solvers were able to quickly solve large‐scale conservation planning problems, commercial solvers were required for complex, large‐scale problems.. The prioritizr R package is available on the Comprehensive R Archive Network (CRAN). In addition to reserve selection, it can inform habitat restoration, connectivity enhancement, and ecosystem service provisioning. It has been used in numerous conservation planning exercises to inform best practices and aid real‐world decision‐making. [ABSTRACT FROM AUTHOR]

Current rates of climate change and gloomy climate projections confront managers and conservation planners with the need to integrate climate change into already complex decision‐making processes. Predicting and prioritizing climatically stable areas and the areas likely to facilitate adaptive species’ range adjustments are important stages in maximizing conservation outcomes and rationalizing future land management. I determined, for the most threatened European terrestrial mammal species, the spatial adaptive trajectories (SATs) of highest expected persistence up to 2080. I devised simple spatial network indices for evaluation of species in those SATs: total persistence; proportion of SATs that offer in situ adaptation (i.e., stable refugia); number of SATs converging in a site; and relationship between SAT convergence and persistence and protected areas, the Natura 2000 and Emerald networks, and areas of low human disturbance. I compared the performance of high‐persistence SATs with a scenario in which each species remained in the areas with the best climatic conditions in the baseline period. The 1000 most persistence SATs for each of the 39 species covered one fifth of Europe. The areas with the largest adaptive potential (i.e., high persistence, stability, and SAT convergence) did not always overlap for all the species. Predominantly, these regions were located in southwestern Europe, Central Europe, and Scandinavia, with some occurrences in Eastern Europe. For most species, persistence in the most climatically suitable areas during the baseline period was lower than within SATs, underscoring their reliance on adaptive movements. Importantly, conservation areas (particularly protected areas) covered only minor fractions of species persistence among SATs, and hubs of spatial climate adaptation (i.e., areas of high SAT convergence) were seriously underrepresented in most conservation areas. These results highlight the need to perform analyses on spatial species’ dynamics under climate change. [ABSTRACT FROM AUTHOR]

Introduction/purpose: The paper analyses and optimizes the welded I-girder of the single-beam bridge crane with a U-profile as the top flange. This solution is to provide a lighter carrying structure, so the main goal is to minimize the weight of the main girder, i.e., the cross-sectional area while fulfiling the requirements defined by national standards and geometric constraints. Methods: The Moth-Flame Optimization (MFO) algorithm was chosen for solving this single-objective multi-criteria optimization task using MATLAB. Also, the results were verified by using the Finite Element Analysis (FEA). Results: The proposed girder shape is justified in examples of real solutions of single-beam bridge cranes and the previous research results. In this case, significant savings in the material and better results are achieved compared to the examples from the previous research. Conclusion: The proposed girder shape, methodology, the optimization algorithm and the achieved savings fully justify this research. Furthermore, this algorithm enables the application of many constraint functions, whereby the optimal values of numerous variables are obtained in a relatively short period. Therefore, it would not be possible to find the solution for that engineering task by applying analytical optimization methods. [ABSTRACT FROM AUTHOR]

Considering the applicability and added value of acetylated starches, it is necessary to find technological variants to obtain them with favorable technical-economic results and energetic and environmental compatibility. The objective of the work is to optimize economic and dynamic indicators of profitability of acetylated starch production, by considering as optimization criteria the productive capacity, the degree of substitution and the temperature of the drying air, establishing the design of the installation in optimal conditions. Technologies adopted from the mechanized native starch processes were selected, and the design and development of the slurry heating, acetylation, and pneumatic drying stages were proposed. A composite central experimental design was generated for profit (P), net present value (NPV), and internal rate of return (IRR), and the quadratic models obtained through the Response Surface Methodology were optimized. For the evaluation of the indicators, the economic indexes of the process were determined, after technological selection, material and energy balances, and technological design. The optimum operating parameters are achieved at a production capacity of 12.57 tcassava/d, degree of substitution of 0.505 and 124.98 °C in the air supply to the pneumatic dryer. Under these conditions, the production of acetylated starch requires larger volume acetylators than for acetylated gelatinized starch process, but the technological requirements of gelatinized pulp are eliminated, achieving remarkable energy efficiency with pneumatic drying. [ABSTRACT FROM AUTHOR]

Extrudates were first prepared through extrusion-cooking and air-drying of different formulations obtained through a D-optimal Mixture Design containing blends of rice flour (RF), green lentil flour (GL), chickpeas flour (CP), and tomato powder (TP) in different proportions. These extrudates were subjected to deep oil frying (DOF) at 200fiC or microwave roasting (MWR) at 75% power level (1000W oven) in order to develop desirable color and flavor characteristics. Physical properties including color (L*, a*, b*), expansion ratio (ER), breaking stress (BS) and antioxidant activity (AA) were evaluated, and the influence of product variables on output parameters was assessed. Increasing CP and GL in the formulations resulted in a decrease in the ER and an increase in the BS. However, the inclusion of CP and TP helped to produce snacks of golden yellow color and increased their overall acceptability. The addition of TP also improved the antioxidant activity of the resulting product. Both DOF and MWR resulted in a lower antioxidant activity; however, MWR led to more than 80% retention of the original antioxidants and higher sensory acceptability. ER and L* values had a strong positive correlation with the overall acceptability of products. The extrusion - air-drying - microwave roasting process produced healthy snacks with acceptable sensory quality, high protein (through added pulses), and enriched antioxidant (through added tomato powder) contents. [ABSTRACT FROM AUTHOR]

Copyright of Ingenius, Revista Ciencia y Tecnología is the property of Universidad Politecnica Salesiana and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Facultad de Ingeniería - UPTC is the property of Universidad Pedagogica y Tecnologica de Colombia, Facultad de Ingenieria and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Facultad de Ingeniería - UPTC is the property of Universidad Pedagogica y Tecnologica de Colombia, Facultad de Ingenieria and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of GeSec: Revista de Gestao e Secretariado is the property of Sindicato das Secretarias e Secretarios do Estado de Sao Paulo (SINSESP) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Este estudio aborda la optimización del tráfico vehicular en una intersección de la ciudad de Tuxtepec, Oaxaca, aplicando un modelo de líneas de espera (M/M/S) y simulación Monte Carlo. Se realizaron observaciones en campo para obtener datos sobre tiempos de llegada de vehículos y tiempos de servicio de semáforos. Se calcularon las medidas de desempeño del modelo con las tasas de llegada, tasas de servicio y utilización del sistema. Posteriormente, se simuló el comportamiento del flujo vehicular bajo diferentes escenarios, identificando puntos de saturación. Los resultados muestran que, con tasas de llegada constantes, el sistema opera de manera estable. Sin embargo, con tasas de llegada máximas, ciertas vías comienzan a saturarse. Estos hallazgos sientan las bases para optimizar los tiempos de sincronización de los semáforos en fases posteriores del proyecto.

La optimización de rutas de transporte es desarrollada para la eficiencia y eficacia logística de las empresas, en el presente artículo se implementa como desarrollar a través de un modelo matemático que ayuda a las empresas dedicadas a la fabricación y distribución de productos a reducir costos de transporte. El modelo aplicado para este proyecto es el modelo lineal de transporte mismo que nos brinda la minimización de costos para cada ruta por medio de la asignación de orígenes a determinados destinos de tal manera hacer entregas eficientes y con ello optimizar los recursos con los que la empresa cuenta.

La gestión de residuos sólidos es un problema crítico que afecta a las comunidades, especialmente en áreas urbanizadas como a San Juan Bautista Tuxtepec, Oaxaca. La ineficiencia en la recolección de basura provoca la acumulación de desechos, la contaminación del suelo y del agua, y la propagación de enfermedades. Además, la falta de conciencia ambiental y la escasa participación ciudadana hacen que empeore más la situación. En Tuxtepec, se recolectan alrededor de 66,385 toneladas de basura anualmente, incluyendo los residuos de municipios vecinos, lo que exige un manejo eficiente para proteger la biodiversidad. En este proyecto se propone en optimizar las rutas de recolección mediante el uso de tecnologías y estrategias específicas, abordando factores como la densidad poblacional, la infraestructura vial y condiciones del ambiente. La implementación de estas medidas no solo mejorará la eficiencia en la gestión de residuos, sino que también fomentará un entorno más limpio y saludable.

La calistenia es una disciplina de entrenamiento físico que utiliza el peso corporal. Dentro de esta práctica, la dominada en barra se destaca como un ejercicio fundamental, enfocado en el desarrollo de la musculatura del tren superior. El objetivo del trabajo presentado fue desarrollar un análisis biomecánico de la técnica de la dominada que servirá, para el mejoramiento de la fuerza muscular en la práctica de la disciplina deporte que es calistenia. Para ello se estudió a un atleta de calistenia que reúne las condiciones de experiencia deportiva y una técnica adecuada, obteniendo datos precisos y fiables sobre los efectos de este tipo de entrenamiento en la musculatura y el rendimiento físico. La metodología de la investigación fue observacional, En el análisis estadístico se utilizó una investigación descriptiva y analítica de tipo mixta. Se analizó la biomecánica de la dominada en relación a la ejecución de la técnica mediante el software de Kinovea, para comprender mejor la relación entre la técnica y la optimización de la fuerza muscular. Aplicando la prueba estadística ANCOVA, se controlaron las variables para ver cómo influye la variable independiente en la variable dependiente. usando el software de SPSS. Este análisis proporciona una comprensión detallada de cómo la biomecánica influye en la eficiencia del ejercicio y cómo puede aplicarse para mejorar la fuerza en los practicantes de calistenia, contribuyendo significativamente al desarrollo de programas de entrenamiento más efectivos.

El análisis de sentimientos en críticas de cine desempeña un papel crucial tanto en la industria del cine como en la investigación académica. Este artículo, se enfoca en la combinación de n-gramas y el uso de redes neuronales para mejorar la clasificación para el análisis de sentimientos en críticas de cine en español. El método propuesto utiliza la combinación de n-gramas como modelo de representación y se evalúa en el corpus Muchocine, comparándolo con los métodos del estado del arte. Los resultados destacan un rendimiento superior en términos de precision, recall y f-measure, demostrando así la eficacia de la combinación de n-gramas en el rendimiento del clasificador.

In previous works we presented a novel multiparametric sensor to simultaneously measure the refractive index and the speed of sound in a liquid by means of the acousto-optic effect. The sensor requires an illumination system that expands the laser beam so that it interacts effectively with the liquid under study. Also, a projection system is necessary in order to adequately capture the diffraction pattern at the cell exit. In this article, we present the optimization of the sensor illumination and projection system using the optical design computational tool Zemax OpticStudio. The considered range of refractive indices of the liquid samples is between 1.33 and 1.51. The results show a correct expansion of the incident beam on the cell, and the projection system achieves an image with very few aberrations and an adequate angular separation between the maxima of the diffraction pattern. From the resulting dimensions of the sensor after the illumination and projection system optimization, we affirm that it is compact and portable.

La presente investigación tuvo como propósito incrementar la eficiencia energética en el transporte de fluidos en la industria niquelífera mediante su modelaje y la resolución de un problema de optimización, donde los factores analizados son: contenido de sólidos, granulometría, composición química y temperatura, debido al escaso conocimiento de cómo estas variables influyen sobre la eficiencia energética de dicho equipamiento. A partir de estudios experimentales y mediante procedimientos estadísticos y estimadores se modela el comportamiento de los parámetros reológicos en función de la temperatura, contenido de sólidos y composición química. Se observa que las hidromezclas lateríticas presentan propiedades plásticas ajustándose a un modelo de Herschel Bulkley para plásticos reales. A partir de una apropiada discretización del modelo del sistema de bombeo de pulpa cruda y de la aplicación del procedimiento de optimización combinatoria se obtuvieron los parámetros de explotación de este sistema.

The integrated management of solid waste at the household level involves adequate collection logistics for recovery by waste collectors. The objective of this study was to optimize the route for access to waste at strategic points in the city of Manizales (Colombia), in addition to analyzing the qualitative characteristics related to a process of sensitization of the executing personnel. The integration of the numerical inputs and study variables was carried out through the application of the Shortest Route optimization algorithm, while the SWOT matrix was implemented to analyze the operational satisfaction conditions. The results generated a reduction in routes in 62.5% of the cases, obtaining savings of up to 28.61% of kilometers traveled daily by the reclaimers. It was also identified that factors such as topography and climate have a direct impact on collection activities. [ABSTRACT FROM AUTHOR]

The purpose of this research was to increase the energy efficiency in the transport of fluids in the nickel industry through modeling and solving an optimization problem, where the factors analyzed are: solids content, granulometry, chemical composition and temperature, due to the little knowledge of how these variables influence the energy efficiency of said equipment. Based on experimental studies and using statistical procedures and estimators, the behavior of the rheological parameters is modeled as a function of temperature, solids content and chemical composition. It is observed that the lateritic hydromixtures present plastic properties adjusting to a Herschel Bulkley model for real plastics. From an appropriate discretization of the raw pulp pumping system model and the application of the combinatorial optimization procedure, the exploitation parameters of this system were obtained. [ABSTRACT FROM AUTHOR]

Objective: Due to the alarming rise in COVID-19 cases every day in India, numerous academics are already developing a variety of math-based estimation models to forecast the pandemic future course. This paper makes use of publicly available data to anticipate certain COVID-19 trajectories in India. Methods: We used the Auto-Regressive Integrated Moving Average Model, a time series model, to anticipate the number of COVID-19 infected cases every day soon. People need to consume nutritious food that is well-balanced and contains the right number of calories, nutrients, as well as vitamins for strong development, bearing in mind that sustaining and repairing bodily tissues is the goal while preventing unfavorable illnesses and disease. Results: Recent studies have shown that healthy eating can help lower the possibilities of developing cancer, cardiovascular disease and for COVID patients. Therefore, an optimization strategy and LINDO software was used to solve the model. This study offers an exhaustive daily meal plan created especially for hospital patients, acting as a helpful resource for school administrators. With six different food choices, the diet plan makes sure that you get all the nutrients you need each day at a reasonable price. Conclusions: The model is solved using LINDO software in the study, which shows how effective it is when compared to other heuristic techniques like biological algorithms. It is determined through thorough investigation that the chosen meals are both financially and nutritionally feasible to serve in ho spital settings. Hospital patients make up the study's participants, and each day's total cost comes to Rs109.34. This cost makes it possible to deliver meals that are minimally more costly but of higher quality, improving the patients' overall nutritional value. [ABSTRACT FROM AUTHOR]

There is vast research on particular aspects of warehouse design - layout, material handling, order picking, and operating policies - when, in fact, the decisions involved in the process are interrelated. In this paper, we develop an engineering economics framework for warehouse operations that decomposes the cost structure of the operation and lays out the relationships between them. Our framework decomposes operational costs into four exogenous characteristics (wages, leasing costs, cost of capital, and access to technology) that depend on the geographic location of the warehouse and two operational requirements (throughput and storage capacity). Using these six parameters, and publicly available information, practitioners can estimate the total operational cost of the warehouse for potential locations in facility location analysis, which have been traditionally limited to transportation costs. In our case study, we use our framework to establish a rank of preferable warehouse locations in terms of operational costs among logistics clusters in the United States of America. [ABSTRACT FROM AUTHOR]

Copyright of GeSec: Revista de Gestao e Secretariado is the property of Sindicato das Secretarias e Secretarios do Estado de Sao Paulo (SINSESP) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introducción: La pitahaya es un fruto con gran potencial para el desarrollo de productos alimenticios funcionales e innovadores. Uno de los principales retos es producir una pulpa estable y con una viscosidad que facilite su manejo durante el procesamiento. Objetivo: Evaluar condiciones de maceración enzimática que permitan mejorar las propiedades reológicas de la pulpa de pitahaya al reducir su viscosidad, con la menor afectación posible de las betacianinas y el color. Metodología: Evaluamos las condiciones del tratamiento enzimático midiendo el cambio de la viscosidad de la pulpa de pitahaya, la concentración de betacianinas y el color instrumental mediante un diseño central compuesto rotable, considerando dos factores: concentración de enzima (Rapidase fiber de DSM) y tiempo de maceración. Para los puntos de diseño, la concentración de enzima estuvo entre 109,8 g/ton y 640,2g/ton y el tiempo entre 1,0h y 3,5h; para los puntos axiales, el nivel mínimo de concentración de la enzima fue de 0g/ton y el máximo de 750g/ton y con respecto al tiempo, el mínimo fue de 0,5h y el máximo de 4,0h, siendo el punto central de 375g/ton de enzima y 2,3h de maceración. Resultados: El tratamiento enzimático evaluado permitió una reducción significativa de la viscosidad de la pulpa con una baja afectación sobre las betacianinas (92% de retención promedio), mientras que los cambios en los parámetros de color instrumental que no se consideran negativos. Conclusión: El tratamiento enzimático permite la reducción de viscosidad de la pulpa de pitahaya con poca afectación en compuestos y características de importancia en este producto. Esto tiene potencial aplicación industrial para el manejo y estabilización de una pulpa, que puede utilizarse en la elaboración de diversos productos alimenticios, permitiendo la valorización y aprovechamiento de la fruta.

El presente trabajo trata sobre como desde la base del desarrollo de un software se puede tributar al análisis del Control Interno y su incidencia en el proceso administrativo del Gobierno Autónomo Descentralizado de la Parroquia Sabanilla. La investigación fue desarrollada según la estructura de un proyecto de investigación. Inicialmente se determinó la problemática a partir de la misma se plantearon los objetivos, se realizó la justificación, se desarrolló el marco teórico a partir de la revisión de revistas, páginas web, artículos científicos y libros. Por su parte, la metodología utilizada fue de tipo inductivo, analítico, estadístico y bibliográfico que fueron de gran importancia para clasificar la información recopilada, permitiendo alcanzar los objetivos planteados, y en cuanto a las técnicas utilizadas están la de entrevista y encuesta. Finalmente, basándose en los resultados de la investigación a partir de software se obtuvo que el 67% de los encuestados conoce cómo está conformada la estructura organizacional del GAD Parroquial, sin embargo, sería conveniente que todos los funcionarios conozcan el modelo que contiene la distribución de las diferentes áreas y funciones de la entidad pública. No obstante, entre los factores negativos, el 33% de los funcionarios otorgó una calificación cualitativa regular al ambiente laboral dentro de la institución. De esta manera se logró concluir que una de las problemáticas que mayormente afecta a la institución es la falta de una evaluación de control interno, aunque lógicamente su existencia se consolida como lo más adecuado para determinar si las actividades laborales se están desarrollando o no de manera estratégica y óptima.

A partir de estudios previos de investigación, surge la necesidad de aplicar técnicas de simulación de operaciones en las micro rutas de aprovechamiento del servicio público de aseo de Sogamoso. El objetivo de esta investigación es caracterizar las operaciones en el proceso de transporte, selección y clasificación de residuos sólidos aprovechables para estudios posteriores poder evaluar la rentabilidad económica de las micro rutas que optimice el manejo de los residuos desde la fuente hasta los transformadores finales. La gestión sostenible de los residuos, el uso eficiente de los recursos y la participación ciudadana en la prevención y valorización, se alinean con los objetivos de desarrollo sostenible (ODS 11 y 12). La población de estudio son los recicladores de oficio de la red de aprovechamiento de servicio público de aseo en Sogamoso, quienes conocen la información necesaria de caracterización de las operaciones para apuntar los resultados hacia el aseguramiento de la gestión sostenible de residuos con la participación ciudadana en la prevención y valorización de los residuos que se producen en la ciudad de Sogamoso.

Copyright of DYNA - Ingeniería e Industria is the property of Publicaciones Dyna SL and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This work identifies the advantages and limitations of approaches that seek to optimize financial resources, and highlights the current problems that organizations face when carrying out this activity. The main result is the description of a hybrid approach that incorporates the use of computational intelligence in financial decision-making that can help overcome such limitations. The optimal use of financial resources is one of the most important factors in the success of organizations. However, many organizations often rely on the empirical experience of their management to decide how to allocate their financial resources, ignoring the technological and modeling advances that have revolutionized financial decision-making globally. [ABSTRACT FROM AUTHOR]

Production scheduling is one of the most important tasks in manufacturing systems since it allows the allocation of jobs with a certain number of available resources. In the production and service industries, meeting the established commitments with the different customers and production deadlines can lead to higher levels of satisfaction and market competitive advantages. On the other hand, one of the main industries worldwide is the coffee industry. Indeed, coffee is the second most traded commodity in the world. Therefore, this research addresses the optimization of the total tardiness in the scheduling of jobs in parallel machines for a case study in a coffee roaster. This is an NP-hard problem where each job requires the roasting process and, in addition, has an associated delivery time. Each job's processing time depends on the machine that is designated and not all machines can run all jobs. We present the mathematical model to describe the problem using mixed integer linear programming and then it is implemented in Python. Additionally, a mate heuristic model based on the ATC heuristic is proposed in order to reduce the computation time and to reach solutions close to the optimum. This model was evaluated with one thousand instances of real data from the roasting process. The Gurobi optimizer was used to solve the problem. The exact method shows high computational times, so we proposed to first perform the sequencing of jobs and then assign them to the machines by means of a simplified mathematical model. By using the proposed mate heuristic model, an average reduction of 53.98% of the execution time is achieved and with respect to the solution delay, this model achieves a median of 0.0% with respect to the optimum. [ABSTRACT FROM AUTHOR]

An important part of the structural design process is to decrease the effect of vibration in buildings, particularly those that may be subject to seismic excitation. Although research in the field of structural control has been made since the early 1900s, the complexity and dimensions of civil structures make this problem particularly difficult to solve due to the high demand for control effort and many other associated limitations. This paper analyzes the performance of a novel passive control system that can be used for vibration control in civil structures subjected to base excitation. This control device is called Tuned Inerter Damper (TID), which overcomes the limitation of classic passive devices that are efficient in a narrow frequency band for which they are tuned, a situation that is inconvenient since earthquakes exhibit a very diverse frequency content on most occasions. Besides, this study employs a metaheuristic optimization approach based on the differential evolution method (DE) combined with an elastic time-history dynamic analysis, through which the vibration control focuses on two individual objectives: first, minimizing the maximum horizontal displacement; and second, minimizing the root mean square (RMS) response of displacements. A 12-story building equipped with a novel arrangement of the TID, and subjected to multiple seismic excitations is studied to verify the effectiveness of the device. The results show a significant enhancement in the dynamic response when the arrangement presented in this work is used, and considerably better than an equivalent TMD. Therefore, TID represents a potentially attractive alternative to traditional passive control techniques. [ABSTRACT FROM AUTHOR]

The main objective of this research is to analyze simulation alternatives considering different scenarios in the activities of transportation, selection and classification of usable waste for the prediction, comparison, analysis and decision making in the optimization of processes, resources, materials and services through dynamic models. This will allow, in subsequent studies, to evaluate the economic viability of micro routes and their optimization to improve waste management throughout the production chain, from the source to its transformation as new products in the environment. It is important to highlight that this research is aligned with sustainable development objectives, specifically Nos. 11 and 12, related to sustainable waste management and efficient use of waste. To carry out this study, the population of interest is the recyclers who are part of the waste collection network in Sogamoso. [ABSTRACT FROM AUTHOR]

Introduction: The optimal design of technologies for the production of combined assortments, constitutes a profitable alternative for the development of the cultivation of Manihot esculenta Crantz (cassava) and its industrializable products. Objective: To develop the economic optimization for the design of a combined assortment plant of Manihot esculeta Crantz by semi-mechanized way. Materials and Methods: A hybrid semi-mechanized scheme was devised for the combined production of starch, cassava and flour. A second order extreme vertex design (EVD) was generated for the distribution of cassava in the three productions, and the quadratic models obtained for profit (G), net present value (NPV), internal rate of return (IRR) and discounted payback period (DRP) were optimized. For the evaluation of the indicators, the design of the basic equipment and the material and energy balances were developed. Results and Discussion: The multipurpose semi-mechanized technology uses the same initial stages for the three processes and a common pneumatic drying for the starch and flour processes. The optimal operating parameters correspond to a profit of 236 882 USD/year, a NPV of 1 242 730 USD, an IRR of 33.10 % and a DRP of 3.97 years, and are achieved for a distribution of 60 % for starch, 10 % for cassava and 30 % for flour. Conclusions: With the raw material distribution that optimizes economic and profitability indicators, production feasibility is guaranteed with energetic and environmental compatibility. [ABSTRACT FROM AUTHOR]

Introduction/purpose: Simulated annealing is a powerful technique widely used in optimization problems. One critical aspect of using simulated annealing effectively is a proper and optimal adjustment of its parameters. This paper presents a novel approach to efficiently adjust the parameters of simulated annealing to enhance its performance and convergence speed. Methods: Since the simulated algorithm is inspired by the cooling Metropolis process, the basic idea is to simulate and analyze this process using a mathematical model. The proposed work tends to properly imitate the Metropolis cooling process in the algorithmic field. By intelligently adjusting the temperature schedule, temperature reduction and cooling rate, the algorithm optimizes the balance between exploration and exploitation, leading to improved convergence and higher-quality solutions. Results: To evaluate the effectiveness of this approach, it was applied first on a chosen sample function to be minimized, and then on some usual known optimization functions. The results demonstrate that our approach, called Optimal Adjusting of Simulated Annealing parameters (OASA), achieves superior performance compared to traditional static parameter settings and other existing approaches, showing how to well adjust the parameters of the simulated annealing algorithm to improve its efficiency in terms of solution quality and processing time. Conclusion: Adjusting the algorithm parameters could have a significant contribution in the optimization field even for other metaheuristics. [ABSTRACT FROM AUTHOR]

Copyright of Revista de la Sociedad Química del Perú is the property of Sociedad Quimica del Peru and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Roca: Revista Científico-Educacional de la Provincia de Granma is the property of Universidad de Granma, Departamento Editorial and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ciencia y Educación (2707-3378) is the property of Duanys Miguel Pena Lopez and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Técnica Energía is the property of Centro Nacional de Control de Energia CENACE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Técnica Energía is the property of Centro Nacional de Control de Energia CENACE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Técnica Energía is the property of Centro Nacional de Control de Energia CENACE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Neutrosophic Computing & Machine Learning is the property of Multimedia Larga and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ge-Conservación is the property of Instituto del Patrimonio Cultural and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ingenius, Revista Ciencia y Tecnología is the property of Universidad Politecnica Salesiana and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of QhaliKay: Revista de Ciencias de la Salud is the property of QhaliKay Revista de Ciencias de la Salud and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

En este artículo, se propone un nuevo método de inicialización de poblaciones para algoritmos metaheurísticos. En este enfoque, el conjunto inicial de soluciones iniciales se obtiene a través del muestreo de la función objetivo aplicando la técnica de Metropolis-Hastings (MH). Bajo este método, el conjunto inicial de soluciones adopta un valor cercano a los valores prominentes de la función objetivo a optimizar. A diferencia de la mayoría de los métodos de inicialización que únicamente consideran una distribución espacial, en el método, los puntos iniciales representan regiones promisorias del espacio de búsqueda, las cuales merecen ser explotadas para identificar la solución óptima global de una manera más rápida. brindando al algoritmo una convergencia más rápida y mejorando la calidad de las soluciones obtenidas. Con el objetivo de demostrar el rendimiento del método de inicialización a algoritmos metaheurísticos, éste ha sido embebido en el algoritmo de Differential Evolution (DE) clásico, y el sistema completo ha sido puesto a prueba en un conjunto representativo de funciones de benchmark extraído de diferentes conjuntos de datos. Los resultados experimentales demuestran una mejora en la rapidez de convergencia y un incremento en la calidad de las soluciones por parte del enfoque propuesto, a comparación de otros métodos similares.

Proponer nuevos métodos metaheurísticos es crucial para la mejora continua en el desarrollo de algoritmos y la capacidad de abordar con eficacia problemas de optimización del mundo real cada vez mas complejos. Por otro lado, la Teoría Evolutiva de Juegos analiza cómo a través de la competencia es posible modificar las estrategias de los individuos dentro de una población con el fin de extender los mecanismos exitosos y reducir o eliminar las estrategias menos exitosas. Este artículo presenta un novedoso enfoque de optimización basado en los principios de la Teoría Evolutiva de Juegos. En el método propuesto, todos los individuos se inicializan mediante la técnica Metropolis-Hasting, que sitúa las soluciones en un punto de partida más cercano a las regiones óptimas o casi óptimas del problema. Se asigna una estrategia original a cada individuo de la población. Al tener en cuenta las interacciones y la competencia entre los distintos agentes del problema de optimización, el enfoque modifica las estrategias para mejorar la eficiencia de la búsqueda y encontrar mejores soluciones. Para evaluar el rendimiento de la técnica propuesta, se compara con ocho algoritmos metaheurísticos bien conocidos utilizando 30 funciones de prueba. La metodología propuesta demostró superioridad en términos de calidad de la solución, dimensionalidad y convergencia en comparación con otros enfoques.

La cobertura de yacimientos arqueológicos a ras de suelo ha motivado, en el último siglo, el empleo de multitud de sistemas con mayor o menor efectividad en su potencial de protección. En este artículo se valora la efectividad de 21 coberturas existentes en la Península Ibérica, analizándolas a partir de parámetros de control como su peso propio, superficie de envolvente e impacto medioambiental. A partir de las conclusiones extraídas, y como propuesta original de este trabajo, se desarrolla un sistema configurable de cobertura, mediante estructura ligera, basado en mallas de doble curvatura de una capa, compatible con envolvente textil cerrada de doble capa. En cada caso concreto, la solución final que mejor se adapta al yacimiento se obtiene tras un proceso de optimización del diseño, basado en parámetros, que reducen la materialidad a emplear, el proceso constructivo y el impacto medioambiental en cada fase del Ciclo de Vida.