The observatory of intelligence and territorial development, tool for innovation in processes of territorial planning in municipalities of the province of Jujuy

El municipio es considerado como un espacio donde sus habitantes comparten no sólo el territorio sino también los problemas y los recursos existentes. La institución municipal -como gobierno local- es el ámbito en el cual se toman decisiones sobre el territorio, que implican a sus habitantes. En cuanto a los actores, estos pueden ser funcionarios, empleados y la comunidad (individual y organizada en ongs), todos aportan sus conocimientos y valores, pero tienen diferentes intereses y diferentes tiempos. Vinculada a las decisiones, encontramos que la forma en que se gestiona la información territorial, es determinante si se pretende apuntar hacia acciones con impacto positivo, y sustentables en lo ambiental y en el tiempo. Este trabajo toma tres municipios: San Salvador de Jujuy, capital de la provincia localizada en los Valles Templados; San Pedro de Jujuy, principal municipio de la región de las Yungas y Tilcara en la Quebrada de Humahuaca. El aporte de la Inteligencia Territorial, a través del observatorio OIDTe, permite analizar los modos de gestión de la información, especialmente mediante el uso de las tecnologías de la información y comunicación (pagina web municipal, equipamiento informático en las oficinas, estrategias de comunicación y vinculación con la población) y mediante la organización de las estructuras administrativas (organigrama) por las cuales circula la información municipal. Además, con la participación enriquecedora de equipos multidisciplinarios en las diferentes etapas. Se busca, a partir de un diagnóstico, generar estrategias para la introducción de innovaciones con los propios actores municipales, a partir de las situaciones y modos culturales propios de cada lugar, incorporando los marcos conceptuales de la Inteligencia Territorial. En este sentido el OIDTe al promover el entendimiento entre los actores, institucionales y la sociedad, facilita la coordinación de diferentes intereses propiciando la toma de decisiones por acuerdos. Asimismo, el método Portulano, puede orientar la introducción de innovaciones en la coordinación de la información cartográfica, para que las diferentes oficinas puedan complementar sus aportes y la comunicación hacia fuera de la institución. En la fase de diagnóstico, se aplicaron entrevistas a informantes claves, se realizó un workshop con técnicos de planta permanente y funcionarios de áreas que manejan información territorial, y de planificación. También por la importancia de la capacidad instalada de recursos humanos, se analizó el nivel de instrucción y la capacitación con que cuenta el personal de planta permanente de cada área

The observatory of intelligence and territorial development, tool for innovation in processes of territorial planning in municipalities of the province of Jujuy

El municipio es considerado como un espacio donde sus habitantes comparten no sólo el territorio sino también los problemas y los recursos existentes. La institución municipal -como gobierno local- es el ámbito en el cual se toman decisiones sobre el territorio, que implican a sus habitantes. En cuanto a los actores, estos pueden ser funcionarios, empleados y la comunidad (individual y organizada en ongs), todos aportan sus conocimientos y valores, pero tienen diferentes intereses y diferentes tiempos. Vinculada a las decisiones, encontramos que la forma en que se gestiona la información territorial, es determinante si se pretende apuntar hacia acciones con impacto positivo, y sustentables en lo ambiental y en el tiempo. Este trabajo toma tres municipios: San Salvador de Jujuy, capital de la provincia localizada en los Valles Templados; San Pedro de Jujuy, principal municipio de la región de las Yungas y Tilcara en la Quebrada de Humahuaca. El aporte de la Inteligencia Territorial, a través del observatorio OIDTe, permite analizar los modos de gestión de la información, especialmente mediante el uso de las tecnologías de la información y comunicación (pagina web municipal, equipamiento informático en las oficinas, estrategias de comunicación y vinculación con la población) y mediante la organización de las estructuras administrativas (organigrama) por las cuales circula la información municipal. Además, con la participación enriquecedora de equipos multidisciplinarios en las diferentes etapas. Se busca, a partir de un diagnóstico, generar estrategias para la introducción de innovaciones con los propios actores municipales, a partir de las situaciones y modos culturales propios de cada lugar, incorporando los marcos conceptuales de la Inteligencia Territorial. En este sentido el OIDTe al promover el entendimiento entre los actores, institucionales y la sociedad, facilita la coordinación de diferentes intereses propiciando la toma de decisiones por acuerdos. Asimismo, el método Portulano, puede orientar la introducción de innovaciones en la coordinación de la información cartográfica, para que las diferentes oficinas puedan complementar sus aportes y la comunicación hacia fuera de la institución. En la fase de diagnóstico, se aplicaron entrevistas a informantes claves, se realizó un workshop con técnicos de planta permanente y funcionarios de áreas que manejan información territorial, y de planificación. También por la importancia de la capacidad instalada de recursos humanos, se analizó el nivel de instrucción y la capacitación con que cuenta el personal de planta permanente de cada área

Five growth strategies for Myanmar : re-engagement with the global economy

After decades of isolation, Myanmar is now actively re-engaging with the global economy. For successful re-engagement, Myanmar needs to implement comprehensive economic reforms based on a shared vision for long-term economic development that is characterized by human-centered, high, sustainable, pro-poor, inclusive, and balanced economic growth. In this paper, we propose five growth strategies: "Agriculture Plus Plus," an export-oriented strategy, a foreign direct investment-driven strategy, a two-polar growth strategy, and a strategy to develop domestic economic corridors. These strategies are used as guides to translate these development agendas into a set of implementable policies, programs, and projects.

From school to work : Muslim youths' education and employment strategies in a community in Uttar Pradesh, India

India's Muslim community, which accounts for 14.4 percent of India’s vast population and is thus the largest of all religious minorities, has been the subject of considerable development discourse as Muslims have the lowest level of educational attainment and standard of living among socio-religious groups in the country. This study addresses the meaning of education and career opportunities for Muslim youths in relation to their educational credentials and social position in the hierarchy of Muslim class and caste groups, with particular reference to a community in Uttar Pradesh. The author contends that the career opportunities, possibilities, and strategies of Muslim youths in Indian society depend on multiple factors: social hierarchy, opportunities to utilize economic resources, social networks, cultural capital, and the wider structural disparities within which the Muslims are situated and wherein they question the value of higher education in gaining them admission to socially recognized and established employment sectors.

Innnovation and new business models for the regional development: travel and transportation

Regional development could present different strategies: •Relocation of industry clusters •Foreign Direct Investment attraction •Innovation based on new business models The Regional Government of Madrid (3rd largest GDP in the EU) selected strategic industries to compete & innovate: •Travel & Transportation •Aerospace •Nanotech. & •Biotech. •ICTs. •Energy

Optimization of urban mobility measures to achieve win-win strategies

European cities are essential in the development of Europe as they constitute the living environment of more than 60% of the population in the European Union and are drivers of the European economy – just under 85% of the EU’s gross domestic product is produced in urban areas (EC, 2007a). The car has been one of the main factors of development during the 20th century, but it is at the same time the origin of the key problems cities have to face: traffic increase. This has resulted in chronic congestion with many adverse consequences such as air pollution and noise. This loss of environmental quality is one of the reasons for urban sprawl in European cities during recent decades. But this urban sprawl at the same time worsens the environmental conditions. We must return to the dense city, but clean and competitive, and this implies reducing car use yet provides quality transport alternatives sufficient to recover and maintain the competitiveness of cities (EC, 2007a). Consequently, European cities need to establish an urban transport strategy which helps reduce their environmental problems –mainly emissions and noise – but without decreasing their trip attraction. This aspect is very important because a loss of trip attraction would result in an increase of people moving to more disperse areas, contributing towards worsening the current situation. This thesis is an attempt to contribute solutions to this problem in two ways: 1) The first is to analyze the complementarity and possible synergies of several urban transport measures aimed at improving a modal split to a more sustainable means of transport. This analysis will focus on the three aspects already mentioned: emissions, noise and attractiveness or competitiveness. 2) Once possible synergies and complementarities have been analyzed, the second objective is to propose the best combination of these measures, in terms of level of implementation, to achieve the maximum benefit with respect to the three aspects previously established: emissions, noise and attractiveness or competitiveness. Therefore, within the wide range of measures enhancing sustainable urban transport, three of them have been be selected in this thesis to establish a methodology for achieving these objectives. The analysis will be based on the region of Madrid, which is also the case study selected for this research. Las ciudades europeas son piezas fundamentales para el desarrollo europeo, ya que son el lugar de residencia de más del 60% de la población de la unión europea así como los motores de su economía – casi el 85% del PIB europeo se produce en áreas urbanas (EC, 2007a). El coche ha sido uno de los principales motores de desarrollo de las ciudades durante el siglo XX, pero se ha terminado por convertir a su vez en uno de los principales problemas con los que tiene que lidiar las ciudades: el aumento del tráfico. Esto ha derivado en unos niveles crónicos de congestión, con multitud de efectos adversos, entre los que cabe destacar la contaminación del aire y el ruido. Esta pérdida de calidad ambiental es una de las razones que ha propiciado la dispersión urbana que han experimentado las ciudades europeas en las últimas décadas. Pero esta dispersión urbana a su vez contribuye a empeorar las condiciones ambientales de las ciudades. Debemos retornar a la ciudad densa, pero limpia y competitiva, y esto implica reducir el uso del coche, pero proporcionando alternativas de transporte que permitan recuperar y mantener la competitividad de las ciudades (EC, 2007a). Por lo tanto, las ciudades europeas necesitan encontrar una estrategia de transporte urbano que ayude a reducir sus problemas medio ambientales – principalmente ruido y emisiones – pero sin hacerlas perder atractividad o competitividad. Este aspecto tiene gran importancia porque una pérdida de la misma se traduciría en un aumento de dispersión de la población hacia áreas periféricas, contribuyendo a empeorar la situación actual. Esta tesis contribuye a solucionar este problema de dos maneras: 1) La primera, analizando la complementariedad y posibles sinergias de diferentes medidas de transporte urbano orientadas a promover un reparto modal hacia modos más sostenibles. Este análisis se centrará en los tres aspectos anteriormente citados: emisiones, ruido y atractividad o competitividad. 2) Una vez las posibles sinergias y complementariedades se han analizado, el segundo objetivo es proponer la mejor combinación de estas medidas – en términos de grado de aplicación - para lograr el máximo beneficio en lo que respecta a los tres objetivos previamente establecidos. Para ello, en esta tesis se han seleccionado una serie de medidas que permitan establecer una metodología para alcanzar estos objetivos previamente definidos. El análisis se centra en la ciudad de Madrid y su área metropolitana, la cual se ha escogido como caso de estudio para realizar esta investigación.

Computational methods to create and analyze a digital gene expression atlas of embryo development from microscopy images

Abstract The creation of atlases, or digital models where information from different subjects can be combined, is a field of increasing interest in biomedical imaging. When a single image does not contain enough information to appropriately describe the organism under study, it is then necessary to acquire images of several individuals, each of them containing complementary data with respect to the rest of the components in the cohort. This approach allows creating digital prototypes, ranging from anatomical atlases of human patients and organs, obtained for instance from Magnetic Resonance Imaging, to gene expression cartographies of embryo development, typically achieved from Light Microscopy. Within such context, in this PhD Thesis we propose, develop and validate new dedicated image processing methodologies that, based on image registration techniques, bring information from multiple individuals into alignment within a single digital atlas model. We also elaborate a dedicated software visualization platform to explore the resulting wealth of multi-dimensional data and novel analysis algo-rithms to automatically mine the generated resource in search of bio¬logical insights. In particular, this work focuses on gene expression data from developing zebrafish embryos imaged at the cellular resolution level with Two-Photon Laser Scanning Microscopy. Disposing of quantitative measurements relating multiple gene expressions to cell position and their evolution in time is a fundamental prerequisite to understand embryogenesis multi-scale processes. However, the number of gene expressions that can be simultaneously stained in one acquisition is limited due to optical and labeling constraints. These limitations motivate the implementation of atlasing strategies that can recreate a virtual gene expression multiplex. The developed computational tools have been tested in two different scenarios. The first one is the early zebrafish embryogenesis where the resulting atlas constitutes a link between the phenotype and the genotype at the cellular level. The second one is the late zebrafish brain where the resulting atlas allows studies relating gene expression to brain regionalization and neurogenesis. The proposed computational frameworks have been adapted to the requirements of both scenarios, such as the integration of partial views of the embryo into a whole embryo model with cellular resolution or the registration of anatom¬ical traits with deformable transformation models non-dependent on any specific labeling. The software implementation of the atlas generation tool (Match-IT) and the visualization platform (Atlas-IT) together with the gene expression atlas resources developed in this Thesis are to be made freely available to the scientific community. Lastly, a novel proof-of-concept experiment integrates for the first time 3D gene expression atlas resources with cell lineages extracted from live embryos, opening up the door to correlate genetic and cellular spatio-temporal dynamics. La creación de atlas, o modelos digitales, donde la información de distintos sujetos puede ser combinada, es un campo de creciente interés en imagen biomédica. Cuando una sola imagen no contiene suficientes datos como para describir apropiadamente el organismo objeto de estudio, se hace necesario adquirir imágenes de varios individuos, cada una de las cuales contiene información complementaria respecto al resto de componentes del grupo. De este modo, es posible crear prototipos digitales, que pueden ir desde atlas anatómicos de órganos y pacientes humanos, adquiridos por ejemplo mediante Resonancia Magnética, hasta cartografías de la expresión genética del desarrollo de embrionario, típicamente adquiridas mediante Microscopía Optica. Dentro de este contexto, en esta Tesis Doctoral se introducen, desarrollan y validan nuevos métodos de procesado de imagen que, basándose en técnicas de registro de imagen, son capaces de alinear imágenes y datos provenientes de múltiples individuos en un solo atlas digital. Además, se ha elaborado una plataforma de visualization específicamente diseñada para explorar la gran cantidad de datos, caracterizados por su multi-dimensionalidad, que resulta de estos métodos. Asimismo, se han propuesto novedosos algoritmos de análisis y minería de datos que permiten inspeccionar automáticamente los atlas generados en busca de conclusiones biológicas significativas. En particular, este trabajo se centra en datos de expresión genética del desarrollo embrionario del pez cebra, adquiridos mediante Microscopía dos fotones con resolución celular. Disponer de medidas cuantitativas que relacionen estas expresiones genéticas con las posiciones celulares y su evolución en el tiempo es un prerrequisito fundamental para comprender los procesos multi-escala característicos de la morfogénesis. Sin embargo, el número de expresiones genéticos que pueden ser simultáneamente etiquetados en una sola adquisición es reducido debido a limitaciones tanto ópticas como del etiquetado. Estas limitaciones requieren la implementación de estrategias de creación de atlas que puedan recrear un multiplexado virtual de expresiones genéticas. Las herramientas computacionales desarrolladas han sido validadas en dos escenarios distintos. El primer escenario es el desarrollo embrionario temprano del pez cebra, donde el atlas resultante permite constituir un vínculo, a nivel celular, entre el fenotipo y el genotipo de este organismo modelo. El segundo escenario corresponde a estadios tardíos del desarrollo del cerebro del pez cebra, donde el atlas resultante permite relacionar expresiones genéticas con la regionalización del cerebro y la formación de neuronas. La plataforma computacional desarrollada ha sido adaptada a los requisitos y retos planteados en ambos escenarios, como la integración, a resolución celular, de vistas parciales dentro de un modelo consistente en un embrión completo, o el alineamiento entre estructuras de referencia anatómica equivalentes, logrado mediante el uso de modelos de transformación deformables que no requieren ningún marcador específico. Está previsto poner a disposición de la comunidad científica tanto la herramienta de generación de atlas (Match-IT), como su plataforma de visualización (Atlas-IT), así como las bases de datos de expresión genética creadas a partir de estas herramientas. Por último, dentro de la presente Tesis Doctoral, se ha incluido una prueba conceptual innovadora que permite integrar los mencionados atlas de expresión genética tridimensionales dentro del linaje celular extraído de una adquisición in vivo de un embrión. Esta prueba conceptual abre la puerta a la posibilidad de correlar, por primera vez, las dinámicas espacio-temporales de genes y células.

Assembling models of embryo development: Image analysis and the construction of digital atlases

Digital atlases of animal development provide a quantitative description of morphogenesis, opening the path toward processes modeling. Prototypic atlases offer a data integration framework where to gather information from cohorts of individuals with phenotypic variability. Relevant information for further theoretical reconstruction includes measurements in time and space for cell behaviors and gene expression. The latter as well as data integration in a prototypic model, rely on image processing strategies. Developing the tools to integrate and analyze biological multidimensional data are highly relevant for assessing chemical toxicity or performing drugs preclinical testing. This article surveys some of the most prominent efforts to assemble these prototypes, categorizes them according to salient criteria and discusses the key questions in the field and the future challenges toward the reconstruction of multiscale dynamics in model organisms.

Capacity building in development projects

Development projects of different types mainly aim to alleviate poverty and ameliorate the livelihoods of local people. One of the strategies commonly used is to focus on organizations and build from their existing capacities in order to improve their living standards or try to build new organizations to work in a common project. Social and human capitals are two key components of these organizations and they might be crucial to the success of the actions that they accomplish. Both can be considered as part of the social capacity of the local organization. This capacity can be enforced with development projects through capacity building. This term means much more than training activities as it includes not only human resource development but also organizational and institutional development (UNESCO, 2010). Capacity and capacity building concepts, as well as capacity measurements in this context are explored to build a framework to evaluate the social capacity generated with the interventions and better plan the actions to be undertaken by the projects to succeed. The focus is set on rural development projects.

Summer deficit irrigation strategies in hedgerow olive orchard cv. ‘Arbequina’: Effect on fruit characteristics and yield.

Maximum production in hedgerow olive orchards is likely not achieved with maximum evapotranspiration over the long-term. Thus, regulated deficit irrigation (RDI) should be considered as a management option. Four irrigation treatments were evaluated during the summer when olive is most drought resistant. Control (CON) was irrigated to maintain the rootzone close to field capacity. Severe water deficit was applied by irrigating 30% CON from end of fruit drop to end July (DI-J) and from end July until beginning of oil synthesis (DI-A). Less severe water deficit was applied during July and August (DI-JA) by irrigating 50% CON. Flowering, fruiting, abscission, fruit development, fresh and dry weight of fruits, and oil production were evaluated. There were not significant differences in number of buds initiated, number of fruits per inflorescence and fruit drop. Oil production was significantly different between irrigation treatments in all experimental years. CON produced more oil and fruit with higher oil% than DI-A and DI-JA. Oil production of DI-J was not significantly reduced compared to CON and oil% was greater. DI-J was the most effective RDI strategy; with 16% less applied water relative to CON average loss in oil production of 8% was not significantly different to CON. While DI-JA saved most water (27%), oil production was reduced by 15%. Greatest loss in oil production (21%) was observed in DI-A with water saving of 22%.

Methodology for reconstructing early zebrafish development from in vivo multiphoton microscopy

Investigating cell dynamics during early zebrafish embryogenesis requires specific image acquisition and analysis strategies. Multiharmonic microscopy, i.e., second- and third-harmonic generations, allows imaging cell divisions and cell membranes in unstained zebrafish embryos from 1- to 1000-cell stage. This paper presents the design and implementation of a dedicated image processing pipeline (tracking and segmentation) for the reconstruction of cell dynamics during these developmental stages. This methodology allows the reconstruction of the cell lineage tree including division timings, spatial coordinates, and cell shape until the 1000-cell stage with minute temporal accuracy and micrometer spatial resolution. Data analysis of the digital embryos provides an extensive quantitative description of early zebrafish embryogenesis.

Potential of the renewable energy development in Jammu and Kashmir, India

The future economic growth for India is likely to result in rapid and accelerated surge in energy demand, with expected shortages in terms of supply. Many of its current policies and strategies are aimed at the improvement and possible maximization of energy production from the renewable sector. It is also clear that while energy conservation and energy efficiency can make an important contribution, renewable energies will be essential to the solution and are likely to play an increasingly important role for providing enhanced energy access, reducing consumption of fossil fuels, and helping India pursue its low-carbon progressive pathway. However, most of the states in India, like the northernmost state of Jammu and Kashmir, have experienced an energy crisis over a sustained period of time and the government both at center and state level has to embark upon with these pressing issues in a more sustainable manner and accordingly initiate various renewable energy projects within these states. This paper will provide a broad-spectrum view about the energy situation within Jammu and Kashmir and will highlight the current policies along with future strategies for the optimal utilization of renewable energy resources.

CO2 soil flux baseline at the technological development plant for CO2 injection at Hontomin (Burgos, Spain)

From the end of 2013 and during the following two years, 20 kt of CO2sc are planned to be injected in a saline reservoir (1500 m depth) at the Hontomín site (NE Spain). The target aquifers are Lower Jurassic limestone formations which are sealed by Lower Cretaceous clay units at the Hontomín site (NE Spain). The injection of CO2 is part of the activities committed in the Technology Development phase of the EC-funded OXYCFB300 project (European Energy Program for Recovery – EEPR, http://www.compostillaproject.eu), which include CO2 injection strategies, risk assessment, and testing and validating monitoring methodologies and techniques. Among the monitoring works, the project is intended to prove that present-day technology is able to monitor the evolution of injected CO2 in the reservoir and to detect potential leakage. One of the techniques is the measurement of CO2 flux at the soil–atmosphere interface, which includes campaigns before, during and after the injection operations. In this work soil CO2 flux measurements in the vicinity of oil borehole, drilled in the eighties and named H-1 to H-4, and injection and monitoring wells were performed using an accumulation chamber equipped with an IR sensor. Seven surveys were carried out from November 2009 to summer 2011. More than 4000 measurements were used to determine the baseline flux of CO2 and its seasonal variations. The measured values were low (from 5 to 13 g m−2 day−1) and few outliers were identified, mainly located close to the H-2 oil well. Nevertheless, these values cannot be associated to a deep source of CO2, being more likely related to biological processes, i.e. soil respiration. No anomalies were recognized close to the deep fault system (Ubierna Fault) detected by geophysical investigations. There, the CO2 flux is indeed as low as other measurement stations. CO2 fluxes appear to be controlled by the biological activity since the lowest values were recorded during autumn-winter seasons and they tend to increase in warm periods. Two reference CO2 flux values (UCL50 of 5 g m−2 d−1 for non-ploughed areas in autumn–winter seasons and 3.5 and 12 g m−2 d−1 for in ploughed and non-ploughed areas, respectively, in spring–summer time, and UCL99 of 26 g m−2 d−1 for autumn–winter in not-ploughed areas and 34 and 42 g m−2 d−1 for spring–summer in ploughed and not-ploughed areas, respectively) were calculated. Fluxes higher than these reference values could be indicative of possible leakage during the operational and post-closure stages of the storage project.