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Through years of fieldwork in the state of Oaxaca, Mexico, art historian and archaeologist Alessia Frassani formulated a compelling question: How did Mesoamerican society maintain its distinctive cultural heritage despite colonization by the Spanish? In Building Yanhuitlan, she focuses on an imposing structure—a sixteenth-century Dominican monastery complex in the village of Yanhuitlan. For centuries, the buildings have served a central role in the village landscape and the lives of its people. Ostensibly, there is nothing indigenous about the complex or the artwork inside. So how does such a place fit within the Mixteca, where Frassani acknowledges a continuity of indigenous culture in th...
Trabajo teórico y práctico de 22 profesionales que exponen su contribución al conocimiento de las actividades de conservación y restauración que se han desarrollado en años recientes en México.
"Teresa Lozano Long Institute of Latin American Studies."
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Roving vigilantes, fear-mongering politicians, hysterical pundits, and the looming shadow of a seven hundred-mile-long fence: the US–Mexican border is one of the most complex and dynamic areas on the planet today. Hyperborder provides the most nuanced portrait yet of this dynamic region. Author Fernando Romero presents a multidisciplinary perspective informed by interviews with numerous academics, researchers, and organizations. Provocatively designed in the style of other kinetic large-scale studies like Rem Koolhaas's Content and Bruce Mau’s Massive Change, Hyperborder is an exhaustively researched report from the front lines of the border debate.
The two-volume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, held in Tuxtla, Mexico, in November 2014. The total of 87 papers plus 1 invited talk presented in these proceedings were carefully reviewed and selected from 348 submissions. The first volume deals with advances in human-inspired computing and its applications. It contains 44 papers structured into seven sections: natural language processing, natural language processing applications, opinion mining, sentiment analysis, and social network applications, computer vision, image processing, logic, reasoning, and multi-agent systems, and intelligent tutoring systems. The second volume deals with advances in nature-inspired computation and machine learning and contains also 44 papers structured into eight sections: genetic and evolutionary algorithms, neural networks, machine learning, machine learning applications to audio and text, data mining, fuzzy logic, robotics, planning, and scheduling, and biomedical applications.