Los archivos de la Iglesia Católica, pasado y futuro: el caso de Costa Rica

ResumenEn este artículo se presenta la historia de los archivos y de las políticas archivísticas de la Iglesia católica a nivel internacional, en América Latina y en Costa Rica. En particular se estudia el surgimiento, la evolución y la situación actual del Archivo Histórico Arquidiocesano y su contribución a la investigación histórica en este país. Por último, se hace un balance de la situación actual y las perspectivas de los archivos eclesiásticos en Costa Rica.AbstractThis article presents the history of the archives and the archiving policies of the Roman Catholic Church at the international level, in Latin America and more specifically in Costa Rica. The article particularly analyzes the origins, evolution, and current situation of the Archdiocesan Archives of San José and its contribution toward the historical research in this country. Lastly, a balance is made of the present state of affairs and perspectives of the ecclesiastical archives of Costa Rica.

Big Data approaches as a support for precision livestock farming techniques

With the advent of new technologies it is increasingly easier to find data of different nature from even more accurate sensors that measure the most disparate physical quantities and with different methodologies. The collection of data thus becomes progressively important and takes the form of archiving, cataloging and online and offline consultation of information. Over time, the amount of data collected can become so relevant that it contains information that cannot be easily explored manually or with basic statistical techniques. The use of Big Data therefore becomes the object of more advanced investigation techniques, such as Machine Learning and Deep Learning. In this work some applications in the world of precision zootechnics and heat stress accused by dairy cows are described. Experimental Italian and German stables were involved for the training and testing of the Random Forest algorithm, obtaining a prediction of milk production depending on the microclimatic conditions of the previous days with satisfactory accuracy. Furthermore, in order to identify an objective method for identifying production drops, compared to the Wood model, typically used as an analytical model of the lactation curve, a Robust Statistics technique was used. Its application on some sample lactations and the results obtained allow us to be confident about the use of this method in the future.