Sistema Regional de Información
en línea para Revistas Científicas de América Latina,
el Caribe, España y Portugal

The process of creating a diverse archive that retrieves artistic expressions that have appeared in the country in recent years, entail political exercise. In a way, this works in the very same manner as the opening of a window that parallels to art history. It presents counter-historic as well as counter-hegemonic archives. This article is an excerpt from a chapter preview in which the ongoing research is titled El Arte en Tu Cuerpo, Tu Cuerpo en el Arte (Art in Your Body, Your Body in Art). The list is composed of more than thirty artists of transgressive and diverse expressions in which five on the list have been contacted. In addition, a summary of the first outreach will be covered in this article. Based on the question, what has been your relationship with art? The male and female artists present in this multicolor archive either their works or artistic expressions.

The purpose of this article is to present a panoramic view of the association of women and the artist collective during Franco’s Regime in the city of Valencia. Firstly, an analysis of first-generation groups is implemented, in which artists like Carmen Pérez Giner, Begoña Villate, Dolores Marqués o Rosa Fagoaga are included, followed by Jacinta Gil o Soledad Sevilla’s contributions to groups that promoted Valencian Abstraction. Lastly, it highlights the relationships that developed between Ana Peters, Pilar Espinosa Carpio, Carmen Calvo, Isabel Oliver, Rosa Torres o Consuelo Niño of the collectives of critical realism in Valencia during the 1960s and ’70s.

In a way, women have been gaining recognition in the past decades in the Cuban art context, as well as in the international art context. Despite much of the recognition given to male artists than female artists in traditional art history, several Cuban female artists have excelled with works that are of notable critical character. These works cover religion, politics, violence and other issues related to current society that has valued their place in the art world, far from stereotypes and victimization for their position as women in a creative environment.

This article describes the nature of the belief systems of a group of students applying for engineering degrees at the Universidad Nacional de Concepción in Paraguay. The relationships between beliefs and academic performance in mathematics are identified. The validity and reliability of the CreeMat questionnaire used in this context is also examined. The population consisted of 113 students, the sampling was non-probabilistic and with voluntary participation. Different data mining techniques were implemented to model the relationship between beliefs and academic performance in mathematics: Multiple Linear Regression, Partial Least Squares Regression and Bayesian Networks. The results show relationships between different dimensions of beliefs and performance, in which positive beliefs about problem solving and the affective and behavioural dimension related to the student's commitment to mathematical learning stand out. The validity and reliability of the questionnaire for this population and context is confirmed.

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The teaching analysis of content in Social Sciences faces the huge amount of texts generated by students during their learning (summaries, exams, essays, works...). Digital tools have so far not had a clear effect of teacher attendance, but we understand that this may change. We present a case study in which the CAQDAS methodology is applied to 14 undergraduate students, who worked on the concept of democracy. This results in 75 freely labeled text comments analyzed by Atlas.ti. The methodology used allowed to work effectively the multiplicity of labels, to establish a modal category system, as well as to analyze the quality and coherence of the contents. The results are considered satisfactory and demonstrate that it is possible to analyse a data set efficiently and transparently, with the support of such a methodology. This opens the door to new experiences in denser contexts.

This study is in line with the United Nations Framework Convention on Climate Change (UNFCCC) to evaluate the post-Paris Agreement (COP21) through technological innovations and carbon pricing in a panel of 39 R&D economies from 1995 to 2018. The results show that sustainable technological innovations and smart applications of insurance and financial services help decrease GHG emissions in the lowest to highest quantile distribution. In contrast, air transportation freight, air freight pricing, and foreign direct investment (FDI) inflows escalate GHG emissions due to unsustainable logistics activities, inefficient freight pricing, and dirty production, which confirmed the ‘pollution haven’ hypothesis across countries. The impact of air freight revenues has a differential impact on GHG emissions in the different quantiles’ distribution, as in the lowest quantiles (i.e., τ0.2 to τ0.4), air freight revenues increase GHG, whereas, at the highest quantiles’ distribution (i.e., τ0.9) emissions decrease. Thus, the viability of air freight revenues is further assessed using Panel Granger causality and panel innovation matrix. The results show the bidirectional causality between i) air freight pricing and GHG emissions, ii) air transportation freight (and freight pricing, freight revenues, FDI) and technology innovations, iii) FDI and air freight revenues, while there is a unidirectional causality running from i) insurance and financial services to GHG emissions, ii) GHG emissions to technological innovations and FDI inflows, and iii) air transportation freight to FDI inflows.

An extreme precipitation event took place during the second half of January 2020 in the Atacama Desert. From Tacna, Peru to Iquique, Chile (18-21ºS) rainfall extended for several days producing floods, major damage to infrastructure, and affecting population in one of the driest deserts of the world. Analysis of surface-weather stations and reanalysis suggests that the most intense precipitation occurred in the Precordillera (2000 to 3600 m.a.s.l) on the western foothills of the Andes. The analysis based on surface observations, upper-air sounding, reanalysis and satellite data, suggests that at least four major factors were present to produce record-breaking precipitation: (i) a low-level circulation off-shore the Atacama Desert, potentially generated by the southward displacement of the Bolivian High and a trough located to the west over subtropical southeast Pacific, (ii) humidity advection via an atmospheric river-like structure, trapped along the coast ahead of the low-level cyclonic circulation, leading to increases in precipitable water vapor over the Atacama Desert, (iii) above-normal sea surface temperatures favoring moist conditions in the boundary layer and (iv) a strengthened local circulation, with low-level eastward moisture advection leading to forced orographic ascent along the Precordillera. These factors triggered thunderstorm development and precipitation mostly in the Precordillera, but also in the Lowlands, Pampas and Altiplano regions. Analysis of days with extreme precipitation in previous austral summers over the period (2008-2020) suggests that this combined thermodynamic-dynamic mechanism is present in the majority of such events in Southern Peru and Northern Chile, providing valuable guidance to predict future extreme precipitation events in the Atacama Desert.

Several regions of Brazil have experienced periods of intense drought in the last decades. Hydropower plants produce most of the country’s energy and a reduction in reservoir flow can compromise the energy sector. Therefore, the Brazilian government has sought the diversification of energy production with other renewable sources. The introduction of new renewable sources, such as wind and solar, requires detailed studies of the local weather conditions usually through historical data analysis. However, several areas in Brazil lack weather stations. In this context, this study aims to assess the ability of the Global Forecast System (GFS) reanalysis product to represent wind, in the state of Minas Gerais (MG) which has 79.5% of energy production associated with water resources. Although the study considers a specific region, it presents a methodology that can be replicated in regions where data is not available. Over most areas, 10 m wind speed values of the GFS reanalysis were similar to those registered by weather stations. Results at 10 and 100 m of altitude show high wind speed values in the north of the state, a region where the highest power densities are also recorded (approximately 150 W m–2 during winter and spring). In conclusion, the GFS reanalysis product, albeit with the biases reported here, can be used in regions with scarce meteorological data to estimate the potential for wind energy production as a complementary source of hydroelectricity.