Estimación y calibración de una matriz de contabilidad social para la economía Argentina de 2017

A recurring problem that economists face is the absence of complete and up-to-date information as well as the inconsistency between different sources of information. For this reason, we have estimated the Social Accounting Matrix for Argentina 2017. For this, official and public sources of information were used, and estimation methods were applied to guarantee the consistency of all its flows. This type of matrix can be used in many ways, from the identification of structural changes in the input-output relations, the study of sectoral value chains, among others. At the same time, these matrices serve as a calibration source for Computed General Equilibrium Models (CGE) and Input-Output Models (I-O). in order to quantitatively assess the effects of public policies. An economic and comparative analysis of the productive linkages illustrate the use of this matrix.Un problema recurrente que enfrentan los economistas es la ausencia de información completa y actualizada como así también la inconsistencia entre diferentes fuentes de información. Por tal motivo, hemos estimado la Matriz de Contabilidad Social para Argentina 2017. Para esto se recurrió a fuentes de información oficiales y públicas, y se emplearon métodos de estimación que garantizan la consistencia de todos sus flujos. Múltiples usos pueden darse a este tipo de matrices, desde la identificación de cambios estructurales en las relaciones insumo-producto, el estudio de cadenas sectoriales de valor, entre otros. Al mismo tiempo, estas matrices sirven como fuente de calibración de Modelos de Equilibrio General Computados (MEGC) y Modelos de Insumo-Producto (I-O)utilizados para evaluar cuantitativamente los efectos de políticas públicas. Un análisis económico y comparativo de los encadenamientos productivos ilustran el uso de esta matriz

Smart Environments through the Internet of Things and Its Impact on University Education: A Systematic Review

At present, there is diverse scientific evidence of the contributions of smart environments (SE) that have positively impacted various urban problems. However, the concept of SE is very broad, so it is relevant to investigate how these technological trends have been integrated into the university educational environment. Therefore, the objective of this study is to explore and describe the state of the art on the impact of intelligent environments implemented through the Internet of Things (IoT) in university education. Therefore, a systematic review of the literature was developed. The research was developed with a mixed approach and descriptive scope. From this study, it was determined that the purpose of implementing SE in university education is focused on contributing to the teaching and learning process and managing and optimizing the use of resources provided by the educational environment. In addition, smart classrooms are the type of environments that have been implemented to a greater extent and whose results show a positive impact on indicators such as motivation, participation, interaction, satisfaction, and student attitude. With which it is concluded that universities should reflect on the implementation of institutional policies that lead to the progressive implementation of SE, seeking to transcend from being just simple learning classrooms to sustainable environments that contribute to student health and environmental conservation

Which Climate Change Mitigation Policy-mix to Latin American countries? A Computable General Equilibrium Analysis to Argentina

Climate change (CC) has become a widespread global concern. Hence, governments have taken international commitments and begun to implement policies to reduce their national Green House Gases (GHG). Although the carbon tax appears as a generalized applied policy, structural socio-economic constraints of Latin American countries become this instrument costly and less effective than a tailor-made policy-mix. By developing a multi-sector recursive dynamic Computable General Equilibrium model which accounts for main structural characteristics of Latin American countries (inequality, unemployment, persistent macroeconomic deficits, etc.) and with a detailed modelling for GHG-intensive sectors (energy, agriculture and (de)forestry), we analyze the environmental, social and (macro- and sector) economic performance of a set of CC mitigation policies for thesecountries. We apply this analysis to Argentina whose results suggest that a policy-mix that combines the elimination of fossil fuels subsidies and a carbon tax on land-intensive sectors would be both, environmentally and socio-economic preferable than a generalized carbon tax which may be extremely damaging to the industrial sectors. CC policy recommendations also hold to other Latina American countries similar to Argentina.Fil: Jacquet, Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; ArgentinaFil: Ojeda, María Laura. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Departamento de Economía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; ArgentinaFil: Ramos, Maria Priscila. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Departamento de Economía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; ArgentinaFil: Mercatante, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; ArgentinaFil: Chisari, Omar Osvaldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; ArgentinaFil: Romero, Carlos Adrián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Departamento de Economía; ArgentinaLVI Reunión Anual Asociación Argentina de Economía PolíticaBuenos AiresArgentinaAsociación Argentina de Economía PolíticaConsejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; Argentin

Contribution of Augmented Reality in Teaching and Learning, in the Midst of COVID-19: Systematic Review

The state of emergency declared in many countries due to the pandemic led universities to consider the incursion of technological tools to give continuity to the teaching and learning process; therefore it is significant to explore results regarding the application of augmented reality (AR) in education. The objective of the research is to generate knowledge from the systematic review of the literature framed in the context of virtual teaching in the midst of COVID-19. A bibliographic review was carried out under a mixed approach, exploratory and descriptive level. The findings showed that the application of AR in learning is not exclusive to any engineering specialty, but, on the contrary, it is versatile and adapts to various curricular contents; Also, the way in which augmented reality is applied is more focused on the use of mobile augmented reality (mobile AR) technology with markerless activation. In addition, it was identified that the factors that were analysed to demonstrate the contribution of AR were: the effectiveness of learning, the predisposition to use AR and the motivation generated by AR. With which it can be concluded that AR in this context has managed to position itself as a learning resource that goes beyond a tool linked to a virtual classroom, since it allows the student to transcend towards immersion in environments with high contextual fidelity. Future research should address which factors influence the improvement of mobile AR activation sensitivity, in different contexts

Role of age and comorbidities in mortality of patients with infective endocarditis

[Purpose]: The aim of this study was to analyse the characteristics of patients with IE in three groups of age and to assess the ability of age and the Charlson Comorbidity Index (CCI) to predict mortality. [Methods]: Prospective cohort study of all patients with IE included in the GAMES Spanish database between 2008 and 2015.Patients were stratified into three age groups:<65 years,65 to 80 years,and ≥ 80 years.The area under the receiver-operating characteristic (AUROC) curve was calculated to quantify the diagnostic accuracy of the CCI to predict mortality risk. [Results]: A total of 3120 patients with IE (1327 < 65 years;1291 65-80 years;502 ≥ 80 years) were enrolled.Fever and heart failure were the most common presentations of IE, with no differences among age groups.Patients ≥80 years who underwent surgery were significantly lower compared with other age groups (14.3%,65 years; 20.5%,65-79 years; 31.3%,≥80 years). In-hospital mortality was lower in the <65-year group (20.3%,<65 years;30.1%,65-79 years;34.7%,≥80 years;p < 0.001) as well as 1-year mortality (3.2%, <65 years; 5.5%, 65-80 years;7.6%,≥80 years; p = 0.003).Independent predictors of mortality were age ≥ 80 years (hazard ratio [HR]:2.78;95% confidence interval [CI]:2.32–3.34), CCI ≥ 3 (HR:1.62; 95% CI:1.39–1.88),and non-performed surgery (HR:1.64;95% CI:11.16–1.58).When the three age groups were compared,the AUROC curve for CCI was significantly larger for patients aged <65 years(p < 0.001) for both in-hospital and 1-year mortality. [Conclusion]: There were no differences in the clinical presentation of IE between the groups. Age ≥ 80 years, high comorbidity (measured by CCI),and non-performance of surgery were independent predictors of mortality in patients with IE.CCI could help to identify those patients with IE and surgical indication who present a lower risk of in-hospital and 1-year mortality after surgery, especially in the <65-year group

Estimation and calibration of a Social Accounting Matrix for Argentina in 2017

Un problema recurrente que enfrentan los economistas es la ausencia de información completa y actualizada como así también la inconsistencia entre diferentes fuentes de información. Por tal motivo, hemos estimado la Matriz de Contabilidad Social para Argentina 2017. Para esto se recurrió a fuentes de información oficiales y públicas, y se emplearon métodos de estimación que garantizan la consistencia de todos sus flujos. Múltiples usos pueden darse a este tipo de matrices, desde la identificación de cambios estructurales en las relaciones insumo-producto, el estudio de cadenas sectoriales de valor, entre otros. Al mismo tiempo, estas matrices sirven como fuente de calibración de Modelos de Equilibrio General Computados (MEGC) y Modelos de Insumo-Producto (I-O)utilizados para evaluar cuantitativamente los efectos de políticas públicas. Un análisis económico y comparativo de los encadenamientos productivos ilustran el uso de esta matriz.A recurring problem that economists face is the absence of complete and up-to-date information as well as the inconsistency between different sources of information. For this reason, we have estimated the Social Accounting Matrix for Argentina 2017. For this, official and public sources of information were used, and estimation methods were applied to guarantee the consistency of all its flows. This type of matrix can be used in many ways, from the identification of structural changes in the input-output relations, the study of sectoral value chains, among others. At the same time, these matrices serve as a calibration source for Computed General Equilibrium Models (CGE) and Input-Output Models (I-O). in order to quantitatively assess the effects of public policies. An economic and comparative analysis of the productive linkages illustrate the use of this matrix.Fil: Chisari, Omar Osvaldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; ArgentinaFil: Mercatante, Juan Ignacio. Universidad Torcuato Di Tella; ArgentinaFil: Ramos, Maria Priscila. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; ArgentinaFil: Romero, Carlos Adrián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; Argentin

K-NN supervised learning algorithm in the predictive analysis of the quality of the university administrative service in the virtual environment

The objective of this study is to analyze and discuss the metrics of the predictive model using the K-nearest neighbor (K-NN) learning algorithm, which will be applied to the data on the perception of engineering students on the quality of the virtual administrative service, such as part of the methodology was analyzed the indicators of accuracy, precision, sensitivity and specificity, from the obtaining of the confusion matrix and the receiver operational characteristic (ROC) curve. The collected data were validated through Cronbach's Alpha, finding consistency values higher than 0.9, which allows to continue with the analysis. Through the predictive model through the Matlab R2021a software, it was concluded that the average metrics for all classes are optimal, presenting a precision of 92.77%, sensitivity 86.62%, and specificity 94.7%; with a total accuracy of 85.5%. In turn, the highest level of the area under the curve (AUC) is 0.98, which is why it is considered an optimal predictive model. Having carried out this study, it is possible to contribute significantly to the decision-making of the higher institution in relation to the improvement of the quality of the virtual administrative service.Campus Lima Su

Level transducer circuit implemented by ultrasonic sensor and controlled with arduino nano for its application in a water tank of a fire system

This article aims to describe the design of a circuit of a level transducer implemented by means of an ultrasonic sensor and controlled by Arduino Nano, applied to a water tank of a firefighting system. Initially, the integration of the Siemens 1212C programmable logic controller is described, in the connection between the sensor, the controller and the interfaces that allow to generate the monitoring, control and data recording, conditioned by a PWM pulse width modulated signal controlled by Arduino Nano. When developing the research and performing an analysis of the linear regression model, it is established that the behavior of the controlled variable with respect to time, generates a linear voltage response in the range of 0 to 10 volts; expressing in terms of correlational relationship a factor of R2 equal to 0.997, thus establishing that the designed transducer does not show susceptibility to noise or disturbances in the start-up of the firefighting system.Campus Lima Centr

Contribution of Augmented Reality in Teaching and Learning, in the Midst of COVID-19: Systematic Review

The state of emergency declared in many countries due to the pandemic led universities to consider the incursion of technological tools to give continuity to the teaching and learning process; therefore it is significant to explore results regarding the application of augmented reality (AR) in education. The objective of the research is to generate knowledge from the systematic review of the literature framed in the context of virtual teaching in the midst of COVID-19. A bibliographic review was carried out under a mixed approach, exploratory and descriptive level. The findings showed that the application of AR in learning is not exclusive to any engineering specialty, but, on the contrary, it is versatile and adapts to various curricular contents; Also, the way in which augmented reality is applied is more focused on the use of mobile augmented reality (mobile AR) technology with markerless activation. In addition, it was identified that the factors that were analysed to demonstrate the contribution of AR were: the effectiveness of learning, the predisposition to use AR and the motivation generated by AR. With which it can be concluded that AR in this context has managed to position itself as a learning resource that goes beyond a tool linked to a virtual classroom, since it allows the student to transcend towards immersion in environments with high contextual fidelity. Future research should address which factors influence the improvement of mobile AR activation sensitivity, in different contexts

Smart Environments through the Internet of Things and Its Impact on University Education: A Systematic Review

At present, there is diverse scientific evidence of the contributions of smart environments (SE) that have positively impacted various urban problems. However, the concept of SE is very broad, so it is relevant to investigate how these technological trends have been integrated into the university educational environment. Therefore, the objective of this study is to explore and describe the state of the art on the impact of intelligent environments implemented through the Internet of Things (IoT) in university education. Therefore, a systematic review of the literature was developed. The research was developed with a mixed approach and descriptive scope. From this study, it was determined that the purpose of implementing SE in university education is focused on contributing to the teaching and learning process and managing and optimizing the use of resources provided by the educational environment. In addition, smart classrooms are the type of environments that have been implemented to a greater extent and whose results show a positive impact on indicators such as motivation, participation, interaction, satisfaction, and student attitude. With which it is concluded that universities should reflect on the implementation of institutional policies that lead to the progressive implementation of SE, seeking to transcend from being just simple learning classrooms to sustainable environments that contribute to student health and environmental conservation