Resumen: De acuerdo con la información suministrada por el Grupo Intergubernamental de Expertos sobre Cambio Climático (IPCC), la temperatura media del planeta ha aumentado 1°C desde el periodo industrial (Ministerio de Ambiente y Desarrollo Sostenible, 2017a). Así, de seguir con las tendencias actuales de emisiones contaminantes la temperatura media en todo el mundo se incrementará en más de 4°C y, en consecuencia, aumentará la probabilidad de que se manifiesten impactos severos e irreversibles a causa del clima, como los desastres naturales, la pérdida de ecosistemas, la inseguridad alimentaria, entre otros. Como resultado de investigación se logró consolidar una síntesis que integra los conceptos de apropiación social del conocimiento, gobernanza, y cambio climático. Propiamente en Colombia, se requieren fortalecer procesos de gobierno con una base de acción pública más cooperativa, y caracterizada por un trabajo más horizontal que vertical, donde confluyan una cantidad de actores e instituciones. En lo que concierne al cambio climático, las circunstancias actuales reflejan que el país podría estar lejos de cumplir las cifras pactadas y que requiere fortalecer iniciativas que apoyen las acciones de mitigación y adaptación. Asimismo, se destaca que se consiguió diseñar una estrategia para soportar un proceso de apropiación social del conocimiento que facilita la generación y uso del conocimiento en cambio climático, y que propende a un buen modelo de gobernanza en Colombia. Previo a este diseño, se evidenció que la apropiación y educación sobre el cambio climático y el desarrollo sostenible también resalta por la diversidad de enfoques de enseñanza y aprendizaje. Finalmente, la validación de la estrategia propuesta permitió llegar a inferencias relacionadas sobre su aplicación dentro de un contexto real, y analizar su viabilidad por medio de una recopilación de evidencia que respalda su interpretación, resultados, y conclusiones. Abstract: According to the information provided by the Intergovernmental Panel on Climate Change (IPCC), the average temperature of the planet has increased by 1°C since the industrial era. Thus, if the current trends in pollutant emissions continue, the average temperature worldwide will increase by over 4°C and, the probability of severe and irreversible impacts caused by weather changes also will rise, such as natural disasters, loss of ecosystems, food availability, among others (Ministerio de Ambiente y Desarrollo Sostenible, 2017a). As one of the main results, a research synthesis integrating the concepts of social appropriation of knowledge, governance, and climate change was conducted. In the Colombian context, it is necessary to strengthen government processes with a public action founded on horizontal rather than vertical structures, where several actors and institutions converge. Regarding climate change, the current circumstances reflect that the country may be far from fulfilling its commitments and that it needs to strengthen initiative that support mitigation and adaptation actions. A strategy was also designed to support a process of social appropriation of knowledge that facilitates the generation and use of knowledge on climate change, and that also integrates and strengthens good governance actions in Colombia. Prior to this design, it became clear that the appropriation of knowledge on climate change and sustainable development is also highlighted by the diversity of teaching and learning approaches. Finally, the validation of the proposed strategy made it possible to draw related inferences about its application as a support for a process of social appropriation of knowledge and governance in the face of climate change within a real context, and to analyze its viability through a collection of evidence that supports results and conclusions.

Abstract: Stochastic time series methods for load forecasting are the traditional methods used by electric power companies [1] because they can model seasonal and stochastic behavior of the load [2]. A load time series has patterns that repeat at different time scales such as daily, weekly or yearly. These patterns indicate that load can be predicted and the shortest seasonality component has the highest effect on the forecast. There might be conditions in which load is in different time resolutions, has a different amount of missing data or is under special events such as COVID-19 pandemic. Load forecasting methods should be able to perform well under these circumstances. On the other hand, neural networks are a wide research topic, they can learn [3] and have low forecasting errors [4]. In this work we explain the main characteristics of load demand in time, load forecasting and we compare stochas-tic time series methods with neural networks for load forecasting in terms of the error with respect to the real load. Resumen: Los métodos de series de tiempo estocásticos para pronósticos de carga son los métodos tradicionales usados por compañías de energía eléctrica [1] porque pueden modelar el comportamiento estocástico y estacional de la carga [2]. Una serie de tiempo de carga tiene patrones que se repiten en diferentes escalas de tiempo como diaria, semanal o anual. Estos patrones indican que la carga puede ser predicha y que el componente de estacionalidad más corto tiene el efecto más grande en el pronóstico. Pude que haya condiciones en las cuales la carga este en diferentes resoluciones de tiempo, tenga una diferente cantidad de datos faltantes o este bajo eventos especiales como la pandemia COVID-19. Los métodos de pronóstico de carga deberían ser capaces de llevarse a cabo bien bajo estas circunstancias. Por otra parte, las redes neuronales son un tema de investigación amplio, ellas pueden aprender [3] y tienen errores de pronóstico bajos [4]. En este trabajo explicamos las principales características de la demanda de carga en el tiempo, pronósticos de carga y comparamos métodos de serie de tiempo estocásticos con redes neuronales para pronósticos de carga en términos del error con respecto a la carga real. [1] H. Wang, B.-S. Li, X.-Y. Han, D.-L. Wang and H. Jin, "Study of Neural Networks for Electric Power Load Forecasting," Third International Symposium on Neural Networks - Advances in Neural Networks - ISNN 2006, Proceedings, Part II, pp. 1277-1283, 2006. [2] K. Berk, Modeling and Forecasting Electricity Demand, Siegen: Springer Spektrum, 2015. [3] H. Alfares and N. Mohammad, "Electric load forecasting: Literature survey and classification of methods," International Journal of Systems Science - IJSySc. 33, vol. 33, no. 1, pp. 23-34, 2002. [4] M. Singh and R. Maini, "Various Electricity Load Forecasting Techniques with Pros and Cons," International Journal of Recent Technology and Engineering (IJRTE), vol. 8, pp. 220-229, 2020.

Resumen: La Inteligencia Artificial (IA) está en todas partes. Es una parte importante de nuestros sistemas financieros, de nuestras redes sociales, e incluso de los mecanismos que usamos para resolver nuestras disputas legales. Aunque muchas profesiones relacionadas con el Derecho han sido identificadas como libres de automatización (Frey & Obsborne, 2013), esto no significa que nuestra industria sea inmune a la tecnología. Lo que significa es que, como lo menciona Kaplan (2015), en el estado actual de la tecnología, aún hay trabajos vitales dentro del campo legal para los cuales las máquinas no necesitan ser utilizadas. Todo abogado utiliza bases de datos para revisar los precedentes, las leyes aplicables y las normas de los procesos judiciales. En general, como abogados nos basamos en inteligencia artificial incluso cuando "Googleamos" un tema relevante para investigar un caso. Estos ejemplos cotidianos ilustran el amplio impacto que la tecnología tiene en nuestra profesión y la sutil definición de un "sistema inteligente". Muestran, además, lo importante que es para los profesionales del derecho entender cómo la tecnología está afectando nuestro campo. En sentido amplio, un sistema inteligente puede ser definido como cualquier sistema que toma la información proporcionada por el usuario y le da, a cambio, una salida procesada a través de un proceso informático que debería ser útil para ese usuario. Esto incluye no solo los sistemas de inteligencia artificial, sino también las bases de datos en general e incluso, los sistemas de registro y seguimiento temporal.

Abstract: The following article presents a series of hypotheses to analyze the possible transitions between protest and civil war and their relation to inequality. To do so, the article presents an analysis on the emergence of protests and its relation with the increase in inequality across the world. This increase in inequality can in fact lead to social unrest, instability and in some cases facilitate the emergence of future armed conflicts. Thus this scenario of increased inequality presents different possible trajectories: 1) protest generated by inequality can escalate into civil conflicts and civil war, or 2) protest generated by inequality can facilitate processes of participation and democratic consolidation. The possibility of either of these transitions taking place is defined by the structural conditions that define the interactions between protestors and authorities in particular settings.

Abstract: It is argued that civil war and protests are mutually exclusive processes. However, the prevalence of protests and their proximity with or simultaneity to armed conflict contradicts this idea. Conflict and confrontation involve different types of interactions between the state and its opponents, which can involve protests, mass mobilization, clashes, and even armed conflict. Thus, we can understand conflict as existing in a continuum. Analyzing protests and protestors as related to armed conflict may serve to widen our understanding of conflict. This chapter presents the case for linking protest with a wider understanding of conflict, considering its links with other categories of contestation such as armed conflict. We can thus envision different types of contestation as being related. If we consider this possibility, we can then analyze processes of escalation and de-escalation between different expressions of contestation. This chapter reflects on the similarities and differences between different categories used to understand contestation, focusing on the categories of protests, civil conflict, and civil war. I claim that while a distinction between protests and armed violence is often made based on the degree of violence involved in these processes, this in itself does not mean that these forms of conflict are disconnected. Through focusing on the nature of their political claims, we can understand these processes of contestation as related to each other. Thus, we can analyze how mass mobilization escalates into armed conflicts, and we also observe cases of post agreement scenarios where mass mobilization follows the signature of peace agreements (a de-escalation process). Evidence from the case of South Africa is presented to illustrate this.

Abstract: Latin America continued to experience social, economic and political turmoil in 2021. The vulnerabilities set by preexisting conditions such as persistent inequality, a high level of labour force participation in the informal economy, and exclusionary social protection systems have been exacerbated by recent health and humanitarian crises that are unprecedented in the region’s modern history. These crises have significantly affected socioeconomic indicators, reflected in the increased levels of vulnerability and poverty, combined with stagnant economic growth. Public sector responses have been made but have been insufficient to cushion the effect of these multiple crises and, in many cases, have revealed the extent of governments’ fiscal conservatism that limited the role of the state in providing adequate support to its citizens. The chapter explores efforts to tackle the effects of compounded deprivation in terms of spatial segregation, a pervasively high informal labour force, gendered and racialized vulnerabilities and the education crisis, and explores the options that governments in the region face in terms of reversing the adverse effects of the coronavirus disease (COVID-19) pandemic, while sustaining the economic recovery. In a context of polarized political participation, discontent will inevitably lead to contention and, in some cases, instability and violence, if the governments choose to ignore the need for a socially just recovery.

Abstract: The use of bacterial pigments with biotechnological potential advances are growing and more and from this natural source are developed several products with different applications in the pharmaceutical, food, cosmetics and other industries, presenting advantages in economic and environmental issues, fulfilling a demand and bringing benefits For consumer health and reducing the use of chemical synthetized products. The aim of this study was the production, working volume and characterization of pigments synthesized by Chryseobacterium KR6 and Lysobacter A03 bacteria isolated from chicken and penguin feathers, respectively. The pigments were characterized by KOH 20% test, UV-visible, colors system CIELAB, HPLC-DAD-MS, FTIR and was evaluated the antioxidant capacity. The pigments from KR6 and A03 presents some characteristics from flexirubin and xanthomonadin non- brominated type pigments respectively. Pigment from KR6 shows a positive bathochromic shift when colonies or the extracted pigment are in presence of alkaline solution (KOH20%) and also have a λmax at 450nm in acetone when analyzed by UV-Vis. The FTIR analysis shows some principal functional groups that might be from a flexirubin molecule. Pigment from A03 didn’t present any shift when flooded with KOH and the λmax was 419 nm and 427 nm in acetone and chloroform respectively. The two pigments presented antioxidant activity evaluated by the capture of the free radical ABTS. It was not possible to propose a chemical structure for the two pigments; purification processes are necessary for a molecular identification of the biotechnologically viable pigments.

Abstract Purpose: By considering the organizational legitimacy framework, this work examines how offending companies decouple their narratives from the facts as a communication strategy when handling environmental crises in the Latin American context. It also considers the implications of such behavior in terms of its potential inconsistency with the organizational value system, and therefore with the ethical sense of the crisis communication practice. Design/methodology: The research relies on a multi-case study approach, where four major environmental incidents involving four extractive companies in Venezuela, Colombia, Mexico, and Argentina are analyzed. By scrutinizing public sources, these companies’ crisis communication processes are examined to allow for the linking of theory and practice. Findings: Results obtained suggest that to defend their legitimacy, companies deliberately conveyed untruthful messages and decouple their communication in crisis from reality, which in turn exposes a delinking between values and actions, resulting in ethical concerns for the practice of both crisis management and crisis communication. This work identifies four different decoupling-based crisis communication strategies performed by companies and the way these are accompanied by secondary strategies. Research limitations/implications: By emphasizing the connection between legitimacy and crisis communication, the study illustrates how narrative-fact decoupling (i.e., untruthful crisis communication practices) can be an indicative of more profound organizational contradictions. However, due to the constraints of case studies, it is acknowledged that the results obtained have boundaries for generalization. Originality/value: Instead of approaching decoupling as a trigger for crisis, the present investigation considers decoupling as a communicational strategy some companies engage with, when handling crisis. Furthermore, by focusing on Latin America, the study reflects the potential impact that the geographical context may have on the bodies of knowledge of organizational crisis communication and legitimacy.

Abstract: This study examines outsourced workers’ assessment of job satisfaction and the degree to which it can be affected by their perception of the reputation of the outsourcing company (i.e., their employer), that of the user company (i.e., their client), and their level of affective commitment to each one of them. Therefore, this study proposes a partial least squares structural equation model with four correlational hypotheses and two mediation hypotheses. A cross-sectional instrument was administered to 138 outsourced workers employed by the same outsourcing company in Colombia. The results indicate that the outsourcing company’s reputation has a slight influence on its employees’ affective commitment to said company, but not on their job satisfaction. Finally, the user company’s reputation has a strong influence on its outsourced workers’ affective commitment, and the latter variable plays a partial mediating role in the link between the user company’s reputation and outsourced employee satisfaction. Resumen: El presente estudio se propuso indagar por la forma en que los trabajadores en condición de tercerización laboral conciben su nivel de satisfacción en su trabajo, y el grado en que dicha valoración puede ser afectada en función de su propia percepción de reputación sobre la empresa subcontratista (su empleador) y la empresa usuaria (su cliente), así como de su nivel de vinculación afectiva con respecto a cada una de ellas. Para ello se planteó un modelamiento de ecuaciones estructurales mediante mínimos cuadrados parciales, empleándose cuatro hipótesis correlacionales y dos hipótesis de mediación. De esta manera, se aplicó un instrumento transversal sobre una muestra de 138 trabajadores tercerizados, vinculados a una misma empresa subcontratista en Colombia. Los resultados obtenidos indican que la reputación de esta empresa parecería incidir ligeramente sobre la vinculación afectiva de los trabajadores con respecto a ella misma, más no sobre su propia satisfacción en el trabajo. Finalmente, se observa una fuerte incidencia de la reputación de la empresa usuaria sobre la vinculación afectiva de sus trabajadores, variable que a su vez ejerce un rol de mediación parcial dentro del vínculo existente entre la misma reputación (de la empresa usuaria) y la satisfacción de los trabajadores.

Resumen: Este artículo ilustra el papel del populismo en la defensa de empresas estatales transgresoras, a partir del estudio del caso de la empresa Petróleos de Venezuela (PDVSA) y su relación con el Estado venezolano durante la era del autodenominado “socialismo del siglo XXI”. Para ello se hace una investigación descriptiva y de sistematización de datos sobre algunos eventos de transgresión socioambiental en los que incurrió la compañía entre 2010 y 2020. Los resultados apuntan al uso continuo de una retórica incendiaria, constituida por el antielitismo, la defensa de la soberanía popular y la consideración de una ciudadanía homogénea y virtuosa. Esto sugiere que el populismo también puede ser utilizado como un estilo discursivo particular para defender la legitimidad de empresas transgresoras subordinadas al poder. Abstract: This work illustrates the role of populism in defending transgressing state-owned companies, based on the case of Petróleos de Venezuela (PDVSA) and its relationship with the Venezuelan state during the self-titled era of ‘21st-century socialism.’ To this end, a descriptive research design and systematization of data was performed on some socio-environmental transgressions by this company between 2010 and 2020. The results point to the continued use of inflammatory rhetoric, represented by anti-elitism, defense of popular sovereignty, and the consideration of homogeneous and virtuous citizenship. These findings suggest that populism can be used as a particular discursive behavior meant to defend the legitimacy of transgressing, subservient-to-power companies.