In this study, a revision of the previously published data on hydrogen (2H/1H) and oxygen (18O/16O) stable isotope ratio of precipitation in northern Chile is presented. Using the amount-weighted mean data and the combined standard deviation (related to both the weighted mean calculation and the spectrometric measurement), the equation of the local meteoric line calculated by error-in-variables regression is as follows: Northern Chile EIV-LMWL: δ2H = [(7.93 ± 0.15) δ18O] + [12.3 ± 2.1]. The slope is similar to that obtained by ordinary least square regression or other types of regression methods, whether weighted or not (e.g., reduced major axis or major axis) by the amount of precipitation. However, the error-in-variables regression is more accurate and suitable than ordinary least square regression (and other types of regression models) where statistical assumptions (i.e., no measurement errors in the x-axis) are violated. A generalized interval of δ2H = ±13.1‰ is also proposed to be used with the local meteoric line. This combines the confidence and prediction intervals around the regression line and appears to be a valid tool for distinguishing outliers or water samples with an isotope composition significantly different from local precipitation. The applicative examples for the Pampa del Tamarugal aquifer system, snow samples and the local geothermal waters are discussed.

Prior to deploying human-robot teams on military missions, system designers need to understand how design decisions affect team performance. This paper describes a multiagent simulation model that captures both team coordination and human-robot interaction. The purpose of the model is to evaluate proposed team designs in uncertain Military Operations in Urban Terrain (MOUT) scenarios and determine which design factors are most critical to team performance. The simulation model is intended to be a tool in the systems engineering iterations of proposing designs, testing them, and then evaluating them during the conceptual design phase. To illustrate the model's usefulness for this purpose, a fractional factorial design of experiments is conducted to evaluate team design factors and the two-factor interaction between controllable factors and noise factors that described the environment and robot reliability. The experimental results suggest that (1) larger teams have more robust performance over the noise factors, (2) robot reliability is critical to the formation of human-robot teams, and (3) high centralization of decision-making authority created communication bottlenecks at the commander in large teams. This work contributes to the agent-based modeling of teams, and to understanding how the U.S. Army can attain its goal of greater utilization of robots in future military operations.

El presente trabajo da cuenta de las respuestas obtenidas en 226 estudiantes, hombresy mujeres, de la Séptima Región de Chile (Maule). Las variables a considerar fueron:resiliencia, sexismo y violencia. Para ello se administraron tres instrumentos a lossujetos durante el primer semestre del año 2015. Las escalas utilizadas fueron: Escalade Resiliencia para jóvenes y adultos SV-RES (Saavedra & Villalta, 2008), Escala deDetección de Sexismo en Adolescentes DSA (Recio, Cuadrado & Ramos, 2005) y la Escalade Tácticas de Conflicto Modificada MCTS (Neidig, 1986, en Muñoz y col. 2007). Se aplicóestadística descriptiva y se correlacionó las variables. Entre los principales resultados seobtuvo un nivel de resiliencia cercano al promedio, se describe un perfil marcado por el“exitismo” y el bajo desarrollo en el área afectiva. Por otra parte, se aprecia un nivel bajode sexismo hostil y un sexismo benévolo por sobre el promedio. Referente a los estilos yestrategias de afrontamiento de conflictos, los jóvenes encuestados ocupan mayormentela “argumentación”, sin embargo algunos de ellos resuelven sus conflictos a través deagresiones físicas moderadas y graves.Revista ciencia, cultura y sociedad Vol. 3 No. 1 enero-junio 2016, pp.19-31

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