Mobile competence network for community health workers in rural Myanmar: a supportive information system that facilitates the improvement of health services.

The goal of this project is the development of international cooperation for fostering solutions to provide better access to basic healthcare services.

Marine Isotope Stage (MIS) 11 results of model data with Community Climate System Model version 3 including the Dynamic Global Vegetation Model (CCSM3-DGVM) in NetCDF format at global and regional scale

The climate of Marine Isotope Stage (MIS) 11, the interglacial roughly 400,000 years ago, is investigated for four time slices, 416, 410, 400, and 394 ka. The overall picture is that MIS 11 was a relatively warm interglacial in comparison to preindustrial, with Northern Hemisphere (NH) summer temperatures early in MIS 11 (416-410 ka) warmer than preindustrial, though winters were cooler. Later in MIS 11, especially around 400 ka, conditions were cooler in the NH summer, mainly in the high latitudes. Climate changes simulated by the models were mainly driven by insolation changes, with the exception of two local feedbacks that amplify climate changes. Here, the NH high latitudes, where reductions in sea ice cover lead to a winter warming early in MIS 11, as well as the tropics, where monsoon changes lead to stronger climate variations than one would expect on the basis of latitudinal mean insolation change alone, are especially prominent. The results support a northward expansion of trees at the expense of grasses in the high northern latitudes early during MIS 11, especially in northern Asia and North America.

Mercado laboral y desarrollo territorial : San Luis y Cuyo

El Desarrollo Local Territorial es un proceso endógeno de construcción social que apunta a la generación de capacidades locales aprovechando los recursos territoriales para fortalecer el entramado socio-institucional y el sistema económico-productivo y movilizarlos para mejorar la calidad de vida de una comunidad. Un aspecto relevante, de cara al Desarrollo Local, es conocer la estructura y evolución de la población, el perfil del mercado de trabajo, así como los principales problemas de empleo en la zona en consideración. La Región de Cuyo, integrada históricamente por las provincias de Mendoza, San Juan y San Luis, presenta singularidades tanto en sus perfiles productivos como en su desarrollo económico. En particular, la Provincia de San Luis se caracteriza fuertemente por la aplicación de una sostenida política pública de reducción de los efectos de desempleo e inequidad que se manifestaron profundamente desde la devaluación de la moneda. En ese sentido, este trabajo -que continúa y actualiza la línea de un estudio previo relacionado con la Región Centro Ampliada, elaborado con datos provisorios del Censo 2010- pretende aportar al estudio del mercado laboral de la Región Cuyo y su relación con el desarrollo territorial, elaborando un diagnóstico de las provincias involucradas. Como fuente principal de información, se utiliza la Base de Microdatos de la eph, que releva y publica el indec, para el período comprendido entre 2003 y 2011 y datos definitivos del Censo Nacional de Población, Hogares y Viviendas 2010

Mercado laboral y desarrollo territorial : San Luis y Cuyo

El Desarrollo Local Territorial es un proceso endógeno de construcción social que apunta a la generación de capacidades locales aprovechando los recursos territoriales para fortalecer el entramado socio-institucional y el sistema económico-productivo y movilizarlos para mejorar la calidad de vida de una comunidad. Un aspecto relevante, de cara al Desarrollo Local, es conocer la estructura y evolución de la población, el perfil del mercado de trabajo, así como los principales problemas de empleo en la zona en consideración. La Región de Cuyo, integrada históricamente por las provincias de Mendoza, San Juan y San Luis, presenta singularidades tanto en sus perfiles productivos como en su desarrollo económico. En particular, la Provincia de San Luis se caracteriza fuertemente por la aplicación de una sostenida política pública de reducción de los efectos de desempleo e inequidad que se manifestaron profundamente desde la devaluación de la moneda. En ese sentido, este trabajo -que continúa y actualiza la línea de un estudio previo relacionado con la Región Centro Ampliada, elaborado con datos provisorios del Censo 2010- pretende aportar al estudio del mercado laboral de la Región Cuyo y su relación con el desarrollo territorial, elaborando un diagnóstico de las provincias involucradas. Como fuente principal de información, se utiliza la Base de Microdatos de la eph, que releva y publica el indec, para el período comprendido entre 2003 y 2011 y datos definitivos del Censo Nacional de Población, Hogares y Viviendas 2010

Mercado laboral y desarrollo territorial : San Luis y Cuyo

El Desarrollo Local Territorial es un proceso endógeno de construcción social que apunta a la generación de capacidades locales aprovechando los recursos territoriales para fortalecer el entramado socio-institucional y el sistema económico-productivo y movilizarlos para mejorar la calidad de vida de una comunidad. Un aspecto relevante, de cara al Desarrollo Local, es conocer la estructura y evolución de la población, el perfil del mercado de trabajo, así como los principales problemas de empleo en la zona en consideración. La Región de Cuyo, integrada históricamente por las provincias de Mendoza, San Juan y San Luis, presenta singularidades tanto en sus perfiles productivos como en su desarrollo económico. En particular, la Provincia de San Luis se caracteriza fuertemente por la aplicación de una sostenida política pública de reducción de los efectos de desempleo e inequidad que se manifestaron profundamente desde la devaluación de la moneda. En ese sentido, este trabajo -que continúa y actualiza la línea de un estudio previo relacionado con la Región Centro Ampliada, elaborado con datos provisorios del Censo 2010- pretende aportar al estudio del mercado laboral de la Región Cuyo y su relación con el desarrollo territorial, elaborando un diagnóstico de las provincias involucradas. Como fuente principal de información, se utiliza la Base de Microdatos de la eph, que releva y publica el indec, para el período comprendido entre 2003 y 2011 y datos definitivos del Censo Nacional de Población, Hogares y Viviendas 2010

Transient Holocene experiments under orbital forcing using the comprehensive global climate model CCSM3 (Community Climate System Model 3)

The Southern Hemisphere Westerly Winds (SWW) have been suggested to exert a critical influence on global climate through wind-driven upwelling of deep water in the Southern Ocean and the potentially resulting atmospheric CO2 variations. The investigation of the temporal and spatial evolution of the SWW along with forcings and feedbacks remains a significant challenge in climate research. In this study, the evolution of the SWW under orbital forcing from the early Holocene (9 kyr BP) to pre-industrial modern times is examined with transient experiments using the comprehensive coupled global climate model CCSM3. Analyses of the model results suggest that the annual and seasonal mean SWW were subject to an overall strengthening and poleward shifting trend during the course of the early-to-late Holocene under the influence of orbital forcing, except for the austral spring season, where the SWW exhibited an opposite trend of shifting towards the equator.

Community Structure in Soil Porous System

Diffusion controls the gaseous transport process in soils when advective transport is almost null. Knowledge of the soil structure and pore connectivity are critical issues to understand and modelling soil aeration, sequestration or emission of greenhouse gasses, volatilization of volatile organic chemicals among other phenomena. In the last decades these issues increased our attention as scientist have realize that soil is one of the most complex materials on the earth, within which many biological, physical and chemical processes that support life and affect climate change take place. A quantitative and explicit characterization of soil structure is difficult because of the complexity of the pore space. This is the main reason why most theoretical approaches to soil porosity are idealizations to simplify this system. In this work, we proposed a more realistic attempt to capture the complexity of the system developing a model that considers the size and location of pores in order to relate them into a network. In the model we interpret porous soils as heterogeneous networks where pores are represented by nodes, characterized by their size and spatial location, and the links representing flows between them. In this work we perform an analysis of the community structure of porous media of soils represented as networks. For different real soils samples, modelled as heterogeneous complex networks, spatial communities of pores have been detected depending on the values of the parameters of the porous soil model used. These types of models are named as Heterogeneous Preferential Attachment (HPA). Developing an exhaustive analysis of the model, analytical solutions are obtained for the degree densities and degree distribution of the pore networks generated by the model in the thermodynamic limit and shown that the networks exhibit similar properties to those observed in other complex networks. With the aim to study in more detail topological properties of these networks, the presence of soil pore community structures is studied. The detection of communities of pores, as groups densely connected with only sparser connections between groups, could contribute to understand the mechanisms of the diffusion phenomena in soils.

A multinational SDI-based system to facilitate disaster risk management in the Andean Community

A useful strategy for improving disaster risk management is sharing spatial data across different technical organizations using shared information systems. However, the implementation of this type of system requires a large effort, so it is difficult to find fully implemented and sustainable information systems that facilitate sharing multinational spatial data about disasters, especially in developing countries. In this paper, we describe a pioneer system for sharing spatial information that we developed for the Andean Community. This system, called SIAPAD (Andean Information System for Disaster Prevention and Relief), integrates spatial information from 37 technical organizations in the Andean countries (Bolivia, Colombia, Ecuador, and Peru). SIAPAD was based on the concept of a thematic Spatial Data Infrastructure (SDI) and includes a web application, called GEORiesgo, which helps users to find relevant information with a knowledge-based system. In the paper, we describe the design and implementation of SIAPAD together with general conclusions and future directions which we learned as a result of this work.

Community Structurein Soil Porous System.

Soil is well recognized as a highly complex system. The interaction and coupled physical, chemical, and biological processes and phenomena occurring in the soil environment at different spatial and temporal scales are the main reasons for such complexity. There is a need for appropriate methodologies to characterize soil porous systems with an interdisciplinary character. Four different real soil samples, presenting different textures, have been modeled as heterogeneous complex networks, applying a model known as the heterogeneous preferential attachment. An analytical study of the degree distributions in the soil model shows a multiscaling behavior in the connectivity degrees, leaving an empirically testable signature of heterogeneity in the topology of soil pore networks. We also show that the power-law scaling in the degree distribution is a robust trait of the soil model. Last, the detection of spatial pore communities, as densely connected groups with only sparser connections between them, has been studied for the first time in these soil networks. Our results show that the presence of these communities depends on the parameter values used to construct the network. These findings could contribute to understanding the mechanisms of the diffusion phenomena in soils, such as gas and water diffusion, development and dynamics of microorganisms, among others.

TITIM GIS-tool: A GIS-based decision support system for measuring the territorial impact of transport infrastructures

To achieve sustainability in the area of transport we need to view the decision-making process as a whole and consider all the most important socio-economic and environmental aspects involved. Improvements in transport infrastructures have a positive impact on regional development and significant repercussions on the economy, as well as affecting a large number of ecological processes. This article presents a DSS to assess the territorial effects of new linear transport infrastructures based on the use of GIS. The TITIM ? Transport Infrastructure Territorial Impact Measurement ? GIS tool allows these effects to be calculated by evaluating the improvement in accessibility, loss of landscape connectivity, and the impact on other local territorial variables such as landscape quality, biodiversity and land-use quality. The TITIM GIS tool assesses these variables automatically, simply by entering the required inputs, and thus avoiding the manual reiteration and execution of these multiple processes. TITIM allows researchers to use their own GIS databases as inputs, in contrast with other tools that use official or predefined maps. The TITIM GIS-tool is tested by application to six HSR projects in the Spanish Strategic Transport and Infrastructure Plan 2005?2020 (PEIT). The tool creates all 65 possible combinations of these projects, which will be the real test scenarios. For each one, the tool calculates the accessibility improvement, the landscape connectivity loss, and the impact on the landscape, biodiversity and land-use quality. The results reveal which of the HSR projects causes the greatest benefit to the transport system, any potential synergies that exist, and help define a priority for implementing the infrastructures in the plan

Parallel Computational Intelligence-Based Multi-Camera Surveillance System

In this work, we present a multi-camera surveillance system based on the use of self-organizing neural networks to represent events on video. The system processes several tasks in parallel using GPUs (graphic processor units). It addresses multiple vision tasks at various levels, such as segmentation, representation or characterization, analysis and monitoring of the movement. These features allow the construction of a robust representation of the environment and interpret the behavior of mobile agents in the scene. It is also necessary to integrate the vision module into a global system that operates in a complex environment by receiving images from multiple acquisition devices at video frequency. Offering relevant information to higher level systems, monitoring and making decisions in real time, it must accomplish a set of requirements, such as: time constraints, high availability, robustness, high processing speed and re-configurability. We have built a system able to represent and analyze the motion in video acquired by a multi-camera network and to process multi-source data in parallel on a multi-GPU architecture.