Abstract For the Afro-diaspora, the Mexican State has presented itself as a containment entity that displays a series of practices that oscillate between the reaffirmation of its multicultural condition with the recognition of Afro-Mexicans, and the development of certain governmental exercises of administration, containment, extermination and even the reproduction of racist speeches against Afro-migrants. The present work tries to describe from an intersectional point of view, what are the state political paradoxes in the face of the Afro-diaspora, as well as the assemblages of the subjects -Afro-Mexicans and Afro-migrants- that participate in it, through a historical and conceptual analysis in the period 2015- 2020.

Resumen Para la afrodiáspora, el Estado mexicano se ha presentado como un ente de contención que despliega una serie de prácticas que oscilan entre la reafirmación de su condición multicultural con el reconocimiento de los afromexicanos, y el desarrollo de ciertos ejercicios gubernamentales de administración, contención, exterminio e incluso la reproducción de discursos racistas en contra de los afromigrantes. El presente trabajo busca describir desde una mirada interseccional, cuáles son las paradojas políticas estatales frente a la afrodiáspora, así como los agenciamientos de los sujetos -afromexicanos y afromigrantes- que de ella participan, mediante un análisis histórico y conceptual en el periodo 2015-2020.

ABSTRACT: Environmental conditions in broiler houses, specifically temperature, are key factors that should be controlled to ensure appropriate environment for broiler rearing. In countries with tropical/subtropical climate, like Brazil, high temperatures produce heat stress to animals, affecting the production process. This research proposes a real-time model to control temperature inside broiler houses. The controller is a self-correcting model that makes real-time decisions on the ventilation system operation (exhaust fans) together with temperature prediction at the facility. The model involves partial differential equations (PDE) whose parameters are updated according to data registered in real-time. Some experiments were carried out at a pilot farm in the municipality of Jundiaí, São Paulo State, Brazil, for different periods during winter and summer. The results based on simulations in comparison with the current automatic ventilation system show that the model is consistent to keep temperature under control for an efficient production. The model achieved a bias of 0.6 °C on average in comparison with the ideal temperature, whereas the automatic controller measured a bias of 3.3 °C, respectively. Future lines suggest that this approach could be useful in many other situations that involve environmental control for livestock production.