Suchergebnisse

"Nos tienen miedo porque no tenemos miedo / Están atrás / van para atrás / piensan atrás / son el atrás están detrás de su armadura militar. Nos ven reír / nos ven luchar / nos ven amar / nos ven jugar nos ven detrás de su armadura militar". Esta canción, de la argentina Liliana Felipe, acompaña muchas de las acciones de la resistencia hondureña. Y refleja el sentir de las mujeres que van en las marchas de la resistencia. (Envío/GIGA)

Ismael Moreno: Un país que arde, que se hunde. - S. 29-34#Alicia Reyes: Vivimos en un país homicida y femicida. - S. 35-36

The available research data on young Asian American drug use is relatively limited compared to the availability of research on other major ethnic groups. Today more published data have highlighted the extent to which drug use is significant and rising in Asian American communities. From our ongoing research on the social context of ecstasy and other club drug use in the San Francisco Bay Area, we analyze data from a total of 56 face-to-face interviews with young Asian American club and rave attendees. We explore the development of a distinctive Asian American experience, in order to understand the attraction of club drugs and the dance scene. We examine the specific social groupings in which they operate, the types of social events they attend, and the nature of their club drug use. We highlight some of the ways in which they construct and express their identities around these social groupings, in terms of ethnic and socio-cultural distinctions as well as other cultural commodities.

Collaborative systems support shared spaces, where groups of users exchange interactions. In order to ensure the usability of these systems, an intuitive interactions´ organization and that each user has awareness information to know the activity of others are necessary. Usability laboratories allow evaluators to verify these requirements. However, laboratory usability evaluations can be problematic for reproducing mobile and ubiquitous contexts, as they restrict the place and time in which the user interacts with the system. This paper presents a framework for building software support that it collects human?machine interactions in mobile and ubiquitous contexts and outputs an assessment of the system´s usability. This framework is constructed through learning that is based on neural networks, identifying sequences of interactions related to usability problems when users carry out collaborative activities. The paper includes a case study that puts the framework into action during the development process of a smartphone application that supports collaborative sport betting. ; This research and the APC was funded by the University of Cantabria and the Government of Cantabria through the industrial doctorate grant DI27, given to Santos Bringas. Alicia Nieto-Reyes was supported by a Spanish Ministerio de Ciencia, Innovación y Universidades grant MTM2017-86061-C2-2-P.