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Gestión de la responsabilidad social universitaria en la Universidad de la Costa: una mirada desde las funciones sustantivas de la educación superior
No full textThe objective of this study focuses on analyzing the management of University
Social Responsibility (RSU) at the Universidad de la Costa - CUC, considering its essential
functions from the perspective of the interest groups involved. The methodology adopted was
based on a quantitative approach, using a questionnaire with 134 items as a data collection
instrument. This questionnaire was applied to each interest group in order to evaluate their
degree of involvement in the university's RSU. Statistical analysis was performed using SPSS
version 25 (IBM Corp, Armonk, NY, USA). A data reduction technique known as factor analysis
was applied to examine correlations between a small number of unobserved variables called
factors.
Within the framework of this research, the total variance of the different interest
groups of the Universidad de la Costa – CUC was analyzed. Graduate students had a total
variance of 11.538, while providers had a total variance of 1.792. Teachers, for their part,
recorded a variation of 24,219, which represents significant data. Finally, the administrative staff
presented a variation of 53.5. These results showed that both undergraduate and graduate
students, suppliers, professors and administrative staff consider that the Universidad de la Costa -
CUC does have enough teaching activities that generate University Social Responsibility. It is
concluded that the institution demonstrates a solid commitment to RSU by providing support and
resources to each of these interest groups.El objetivo de este estudio se centra en analizar la gestión de la Responsabilidad Social
Universitaria (RSU) en la Universidad de la Costa - CUC, considerando sus funciones esenciales
desde la perspectiva de los grupos de interés involucrados. La metodología adoptada se basó en
un enfoque cuantitativo, empleando un cuestionario con 134 ítems como instrumento de
recopilación de datos. Este cuestionario se aplicó a cada grupo de interés para evaluar su
implicación en la RSU de la universidad. El análisis estadístico se llevó a cabo mediante el uso
del programa SPSS versión 25 (IBM Corp., Armonk, NY, EE. UU.). Se aplicó una técnica de
reducción de datos conocida como análisis factorial para examinar las correlaciones entre un
número reducido de variables no observadas denominadas factores.
En esta investigación, se analizó la varianza de diferentes grupos de interés en la
Universidad de la Costa–CUC. Los estudiantes de postgrado mostraron una varianza total de
11,538, mientras que los proveedores tuvieron una varianza total de 1,792. Los profesores, por su
parte, registraron una varianza de 24,219, lo que representa un dato significativo. Finalmente, el
personal administrativo mostró una varianza de 53.5. Estos resultados permitieron evidenciar que
tanto los estudiantes de pregrado como los de postgrado, los proveedores, los profesores y el
personal administrativo consideran que la Universidad de la Costa - CUC sí cuenta con
actividades suficientes desde la docencia, que generan Responsabilidad Social Universitaria.
Concluye que la institución demuestra un compromiso sólido con la RSU apoyando y recursos a
cada grupo de interésResumen 5--
Introducción 9
Capítulo 1 Problema De Investigación 11--
Planteamiento del problema 11--
Formulación del Problema 16--
Sistematización del problema. 16 --
Objetivos De La Investigación 17--
Objetivo General 17--
Objetivos Específicos. 17--
Justificación De La Investigación 18--
Delimitación De La Investigación 19--
Capítulo 2 Marco de Referencia 21--
Marco de Antecedentes 21--
Marco Teórico 28--
Marco Conceptual 44--
Responsabilidad Social 44--
Grupos de interés- Stakeholders 44--
Docencia 44--
Investigación 45--
Extensión Social 45--
Gestión Organizacional 45--
Capítulo 3. Marco Metodológico 51--
Enfoque De La Investigación 51--
Alcance de la investigación 51--
Método de investigación 52
Diseño de la investigación 52
Definición de la población y muestra objeto de estudio 53--
Fuentes de información 54--
Técnicas e instrumentos de recolección de datos 54--
Capítulo 4. Análisis de resultados. 56--
Gestión de la responsabilidad social desde la función sustantiva docencia56--
Gestión de la responsabilidad social desde la función sustantiva Investigación 58--
Gestión de la responsabilidad social desde la función sustantiva extensión 61--
Gestión de la responsabilidad social desde la función sustantiva gestión organizacional.64--
Gestión de la Responsabilidad Social Universitaria de la Universidad de la Costa - CUC en el desarrollo de las funciones sustantivas 66--
Conclusiones 69--
Recomendaciones 71--
Referencias 72--Magíster en Administración2023Maestrí
Technical and market evaluation of thermal generation power plants in the Colombia power system
No full textThermal power plants are the widely conventional generation unit technology used to produce electricity being controllable and dispatchable. The location of thermal power plants depends on the energy availability conditions of the areas and the capacity to fuels access. Their location and geographical distribution define a high level of concentration in areas defined as thermal districts and its location define reliability, security, availability, and flexibility indices to avoid critical scenario or support system from contingencies. However, in many cases the electrical configuration does not correspond to requirements. This paper links the concentration by political distribution in Colombia and the configuration used in the generating substations to guarantee requirements. The Hirschman-Herfindahl index as a market tool is used to evaluate energy concentration facing representative participation in certain departments of Colombia. Results evidenced configurations and concentration in a study case, results and analysis could be used for planner to promote participation, reliability and promote. The paper’s contribution and conclusions are linked to guide planners towards market and technical tool to evaluate installed capacities, avoid market concentration, and reduce risky scenarios
Application of generative models to augment IMU signals in gait biometrics
No full textThis paper presents the impact of data augmentation on the performance of biometrics gait system. The carried out work demonstrates the concept of using generative models in the form of data distribution modelling neural networks as data augmentation mechanism. The work proposed an artificial neural network architecture capable of modeling the normal distribution of Inertial Measurement Unit (IMU) readings. The proposed models were capable of simultaneous synthetic generation of triaxial accelerometer and triaxial gyroscope signals. Effectiveness of the proposed augmentation mechanism was compared with performance on the Riemannian Hamiltonian VAE (RHVAE) and timeVAE models. Validation of the experiments was carried out using the author's corpus of human gait cycles (100 subjects) collected over two days. The study resulted in an increase in the metric of the biometrics system from a baseline of 0.73 ± 0.019 to 0.775 ± 0.014 F1-score. Proposed neural network architecture allowed to outperform the competing models (RHVAE), for which an F1-score metric of 0.753 ± 0.016 was achieved
Augmented reality and tourism: a bibliometric analysis of new technological bets in the Post-COVID era
No full textTourism is a sector of high relevance worldwide, due to the multiple impacts it generates in local, regional, national, continental, and global economies, and it is a key generator of employment and provides sustenance to an innumerable number of people around the world. There have been many challenges at a global level to improve the user experience in a particular tourist place, where technology has played a highly relevant role in strengthening the conditions for tourists to achieve immersion in the culture, gastronomy, and recreation. The objective of this literature review is precisely to know and understand the key contributions that are currently being developed around the implementation of augmented reality as tourist technological support for user experiences. The literature on this topic is quite dispersed in specialized databases; therefore, it constitutes an opportunity to carry out a more detailed exploration of the topic. To address the different developments that have been carried out on tourism and augmented reality, an analysis was carried out based on the fusion of scientometric analysis and the metaphor of the Tree of Science, in which two relevant visions about the data were generated. The first focused on the different scientometric statistics regarding countries, authors, universities, or research or technological development centers that currently generate new applications based on augmented reality for tourism. The second focused on an evolutionary analysis based on the Tree of Science, analyzing the origins of the basic contributions of research and how it has evolved over time. This review indicates that the topic is currently valid and that it has been strengthened even more with the post-pandemic process, where many technological developments have been strengthened that allow people to enjoy tourist and cultural sites even without leaving home
Analysis in circular economy research in Latin America: A bibliometric review
No full textCircular Economy (CE) plays a crucial role in Latin America, where the transition to new economic development models poses significant challenges. This study conducts a bibliometric analysis of CE research in the region to identify critical areas of development, influential authors, organizations, and future research trends. This analysis aims to highlight the progress made in the CE field in Latin America and identify areas for improvement to promote sustainable development. Using the Scopus database, we analyzed 632 research papers, and the rising number of CE publications in Latin America suggests a continuous growth trajectory, expected to reach over 2500 studies by 2026. The analysis reveals that Brazil leads CE research with 274 publications, Waste Management being the most studied topic. The study highlights the region's growing trend towards implementing innovative and sustainable solutions for waste management and resource utilization, such as bioengineering and biochemistry processes, which could positively impact the region's economy and environment. The findings of this study provide valuable insights for policymakers and researchers aiming to promote sustainable development in Latin America
Assessment of time series models for mean discharge modeling and forecasting in a sub-basin of the paranaíba river, Brazil
No full textStochastic modeling to forecast hydrological variables under changing climatic conditions is essential for water resource management and adaptation planning. This study explores the applicability of stochastic models, specifically SARIMA and SARIMAX, to forecast monthly average river discharge in a sub-basin of the Paranaíba River near Patos de Minas, MG, Brazil. The Paranaíba River is a vital water source for the Alto Paranaíba region, serving industrial supply, drinking water effluent dilution for urban communities, agriculture, fishing, and tourism. The study evaluates the performance of SARIMA and SARIMAX models in long-term discharge modeling and forecasting, demonstrating the SARIMAX model’s superior performance in various metrics, including the Nash–Sutcliffe coefficient (NSE), the root mean square error (RMSE), and the mean absolute percentage error (MAPE). The inclusion of precipitation as a regressor variable considerably improves the forecasting accuracy, and can be attributed to the multivariate structure of the SARIMAX model. While stochastic models like SARIMAX offer valuable decision-making tools for water resource management, the study underscores the significance of employing long-term time series encompassing flood and drought periods and including model uncertainty analysis to enhance the robustness of forecasts. In this study, the SARIMAX model provides a better fit for extreme values, overestimating peaks by around 11.6% and troughs by about 5.0%, compared with the SARIMA model, which tends to underestimate peaks by an average of 6.5% and overestimate troughs by approximately 76.0%. The findings contribute to the literature on water management strategies and mitigating risks associated with extreme hydrological events
Adsorptive properties of the pesticides 2,4-D, mecoprop, and dicamba on a pinus-based biochar: conventional and statistical physics evaluation
No full textThe adsorptive properties of the pesticides 2,4-D, mecoprop, and dicamba on a pinus-based biochar were scrutinized from conventional and statistical physics approaches. Firstly, the pinus-based biochar was prepared from Pinus elliottii and extensively characterized. Then, the conventional adsorption studies were made using kinetic equilibrium and thermodynamics. Subsequently, the statistical physics model of Hill was used to interpret the data. Finally, the pinus-biochar was used to uptake the pesticides from a real river water sample. The results revealed that the pinus-biochar is a rich-carbon material (carbon content higher than 99%) with high thermal stability, interesting textural features, and proper characteristics to effectively uptake small and polar organic molecules. At a pH of 7.0 and using 1.0 g/L, the biochar reduced the concentration of pesticide solutions from 50 μg/L to less than 4.0 μg/L in 2 h of operation. The conventional evaluation revealed that the General order model properly represented the kinetic profile of the pesticides adsorption, while the Langmuir model better represented the isotherms. The maximum uptakes of 2,4-D, mecoprop, and dicamba at 298 K were 100.9 μg g−1, 122.5 μg g−1, and 95.9 μg g−1. The statistical physics model of Hill could explain the adsorption of all pesticides, and new insights were proposed for the adsorption mechanism. The pinus-based biochar was also efficient in decontaminating river waters containing the pesticides, using 5.0 g/L. Finally, it can be concluded that pinus-based biochar is a rich-carbon material able to efficiently uptake the pesticides 2,4-D, mecoprop, and dicamba from synthetic and natural waters. The efficiency, even in a concentration range of μg/L, was attributed to the intrinsic features of the new material
Implementation of a multilayer statistical physics model to interpret the adsorption of food dyes on a chitosan film
Get PDFThis paper reports the application of an advanced multilayer model to study the adsorption of food dyes FD&C blue No. 2, acid red 18, FD&C red No. 2, and FD&C yellow 5 from aqueous solutions with a chitosan film. These dyes' adsorption mechanisms were discussed and analyzed at 298–328 K and pH 4–7 via statistical physics calculations. Physicochemical parameters were utilized to explain the dye adsorption at the molecular scale. Modeling results showed dye aggregation phenomena where each functional group of chitosan film adsorbed several dye molecules simultaneously at different tested temperatures. Aqueous solution temperature reduced the dye adsorption capacities, attributed to the exothermic nature of dye removal. The chitosan film was more effective for the adsorption of dye FD&C yellow 5. The estimated adsorption energies for dye-chitosan film and dye-dye interactions confirmed an exothermic physisorption associated with van der Waals forces and hydrogen bonding. This study's results contributed to expanding the knowledge on the adsorption mechanisms of dye molecules using biopolymers like chitosan.Sellaoui, LotfiDhaouadi, Fatma-will be generated-orcid-0000-0001-9671-7804-600Li, ZichaoCadaval Jr, Tito R. S.Igansi, Andrei V.Pinto, Luiz A. A.Dotto, Guilherme Luiz-will be generated-orcid-0000-0002-4413-8138-600Bonilla-Petriciolet, Adrian-will be generated-orcid-0000-0002-0197-3539-600Pinto, Diana-will be generated-orcid-0000-0002-1496-5722-600Chen, Zhuq
Tratamiento eficaz de aguas residuales hospitalarias con diclofenaco e ibuprofeno en alta concentración utilizando una tecnología prometedora basada en una reacción de degradación catalizada por Fe0 bajo irradiación de microondas.
No full textReal hospital wastewater was effectively treated by a promising technology based on degradation reaction catalyzed by Fe0 under microwave irradiation in this work. Fe0 powders were synthesized and characterized by different techniques, resulting in a single-phase sample with spherical particles. Optimum experimental conditions were determined by a central composite rotatable design combined with a response surface methodology, resulting in 96.8% of chemical oxygen demand reduction and 100% organic carbon removal, after applying MW power of 780 W and Fe0 dosage of 0.36 g L−1 for 60 min. Amongst the several organic compounds identified in the wastewater sample, diclofenac and ibuprofen were present in higher concentrations; therefore, they were set as target pollutants. Both compounds were completely degraded in 35 min of reaction time. Their plausible degradation pathways were investigated and proposed. Overall, the method developed in this work effectively removed high concentrations of pharmaceuticals in hospital wastewaterEn este trabajo, las aguas residuales hospitalarias reales fueron tratadas eficazmente mediante una tecnología prometedora basada en la reacción de degradación catalizada por Fe0 bajo irradiación de microondas. Los polvos de Fe0 se sintetizaron y caracterizaron mediante diferentes técnicas, dando como resultado una muestra monofásica con partículas esféricas. Las condiciones experimentales óptimas se determinaron mediante un diseño central compuesto giratorio combinado con una metodología de superficie de respuesta, lo que resultó en una reducción del 96,8% de la demanda química de oxígeno y una eliminación del 100% de carbono orgánico, después de aplicar una potencia de MW de 780 W y una dosis de Fe0 de 0,36 g L − 1. durante 60 min. Entre los varios compuestos orgánicos identificados en la muestra de aguas residuales, el diclofenaco y el ibuprofeno estaban presentes en concentraciones más altas; por lo tanto, se establecieron como contaminantes objetivo. Ambos compuestos se degradaron completamente en 35 min de tiempo de reacción. Se investigaron y propusieron sus posibles vías de degradación. En general, el método desarrollado en este trabajo eliminó de manera efectiva las altas concentraciones de productos farmacéuticos en las aguas residuales de los hospitales.Vieira, Yasmin-will be generated-orcid-0000-0003-4053-4042-600A. Pereira, HérculesLeichtweis, Jandira-will be generated-orcid-0000-0003-3522-2730-600Mistura, Clóvia M.Foletto, Edson-will be generated-orcid-0000-0003-2443-7445-600S. Oliveira, Luis F.Dotto, Guilherme Luiz-will be generated-orcid-0000-0002-4413-8138-60
A review on the environmental impact of phosphogypsum and potential health impacts through the release of nanoparticles
Get PDFMany industrial by-products have been disposed along coastlines, generating profound marine changes. Phosphogypsum (PG) is a solid by-product generated in the production of phosphoric acid (PA) using conventional synthesis methods. The raw material, about 50 times more radioactive as compared to unperturbed soils, is dissolved in diluted sulfuric acid (70%) forming PG and PA. The majority of both, reactive hazardous elements and natural radionuclides, remain bound to the PG. A nonnegligible fraction of PG occurs as nanoparticles (<0.1 μm). When PG are used for e.g., agriculture or construction purposes, nanoparticles (NPs) can be re-suspended by Aeolian and fluvial processes. Here we provide an overview and evaluation of the geochemical and radiological hazardous risks associated with the different uses of PG. In this review, we show that NPs are important residues in both raw and waste materials originating from the uses of phosphate rock. Different industrial processes in the phosphate fertilizer industries are discussed in the context of the chemical and mineralogical composition as well as size and reactivity of the released NP. We also review how incidental NPs of PG impact the global environment, especially with respect to the distribution of rare earth elements (REEs), toxic elements such as As, Se, and Pb, and natural radionuclides. We also propose the application of advanced techniques and methods to better understand formation and transport of NPs containing elements of high scientific, economic, and environmental importance.Silva Oliveira, Luis FelipeSilva Oliveira, Marcos LeandroCrissien Borrero, Tito José-will be generated-orcid-0000-0002-7459-7941-600Santosh, M.Bolivar, JuanShao, Longyi-will be generated-orcid-0000-0001-9975-6091-600Dotto, Guilherme Luiz-will be generated-orcid-0000-0002-4413-8138-600Gasparotto, Juciano-will be generated-orcid-0000-0003-2545-7288-600Schindleri, Michae