Were Spanish migrants attracted by industrial agglomerations?: an analysis for the interwar years in the light of the new economic geography

In this paper we examine whether access to markets had a significant influence onmigration choices of Spanish internal migrants in the inter-war years. We perform astructural contrast of a New Economic Geography model that focus on the forwardlinkage that links workers location choice with the geography of industrial production,one of the centripetal forces that drive agglomeration in the NEG models. The resultshighlight the presence of this forward linkage in the Spanish economy of the inter-warperiod. That is, we prove the existence of a direct relation between workers¿ localizationdecisions and the market potential of the host regions. In addition, the direct estimationof the values associated with key parameters in the NEG model allows us to simulatethe migratory flows derived from different scenarios of the relative size of regions andthe distances between them. We show that in Spain the power of attraction of theagglomerations grew as they increased in size, but the high elasticity estimated for themigration costs reduced the intensity of the migratory flows. This could help to explainthe apparently low intensity of internal migrations in Spain until its upsurge during the1920s. This also explains the geography of migrations in Spain during this period,which hardly affected the regions furthest from the large industrial agglomerations (i.e.,regions such as Andalusia, Estremadura and Castile-La Mancha) but had an intenseeffect on the provinces nearest to the principal centres of industrial development.

Testing a new multigroup inference approach to reconstructing past environmental conditions

A new, quantitative, inference model for environmental reconstruction (transfer function), based for the first time on the simultaneous analysis of multigroup species, has been developed. Quantitative reconstructions based on palaeoecological transfer functions provide a powerful tool for addressing questions of environmental change in a wide range of environments, from oceans to mountain lakes, and over a range of timescales, from decades to millions of years. Much progress has been made in the development of inferences based on multiple proxies but usually these have been considered separately, and the different numeric reconstructions compared and reconciled post-hoc. This paper presents a new method to combine information from multiple biological groups at the reconstruction stage. The aim of the multigroup work was to test the potential of the new approach to making improved inferences of past environmental change by improving upon current reconstruction methodologies. The taxonomic groups analysed include diatoms, chironomids and chrysophyte cysts. We test the new methodology using two cold-environment training-sets, namely mountain lakes from the Pyrenees and the Alps. The use of multiple groups, as opposed to single groupings, was only found to increase the reconstruction skill slightly, as measured by the root mean square error of prediction (leave-one-out cross-validation), in the case of alkalinity, dissolved inorganic carbon and altitude (a surrogate for air-temperature), but not for pH or dissolved CO2. Reasons why the improvement was less than might have been anticipated are discussed. These can include the different life-forms, environmental responses and reaction times of the groups under study.

Modelling the Evolution and Spread of HIV Immune Escape Mutants.

During infection with human immunodeficiency virus (HIV), immune pressure from cytotoxic T-lymphocytes (CTLs) selects for viral mutants that confer escape from CTL recognition. These escape variants can be transmitted between individuals where, depending upon their cost to viral fitness and the CTL responses made by the recipient, they may revert. The rates of within-host evolution and their concordant impact upon the rate of spread of escape mutants at the population level are uncertain. Here we present a mathematical model of within-host evolution of escape mutants, transmission of these variants between hosts and subsequent reversion in new hosts. The model is an extension of the well-known SI model of disease transmission and includes three further parameters that describe host immunogenetic heterogeneity and rates of within host viral evolution. We use the model to explain why some escape mutants appear to have stable prevalence whilst others are spreading through the population. Further, we use it to compare diverse datasets on CTL escape, highlighting where different sources agree or disagree on within-host evolutionary rates. The several dozen CTL epitopes we survey from HIV-1 gag, RT and nef reveal a relatively sedate rate of evolution with average rates of escape measured in years and reversion in decades. For many epitopes in HIV, occasional rapid within-host evolution is not reflected in fast evolution at the population level.

La gestión del regadío catalán: entre eficiencia, compatibilidad de usos y legitimidad

In previous years, irrigation and its management have become protagonists of a social debate that questions their economic, environmental and territorial limits in space and time. The hydraulic constructions as irrigation canals have played a central role in the attempt to “dominate” the water resources and so control the territory. However and after some time, both the modernization of traditional irrigation as the promotion of new irrigation projects are called into question due to the rise of environmental demands and promoting governance as a mechanism favourable to agreements between stakeholders. In Catalonia, the irrigation management must deal both efficiency requirements as to the compatibility between consumptive and non-consumptive water uses well as the social legitimacy of projects that exceed sectoral interest. The situation analysis of Bajo Ter and Muga historic irrigation canals and the running project of Segarra-Garrigues irrigation canal emphasize the need to promote a territorial management model capable of integrating and legitimize different competing water views

La gestió del regadiu a Catalunya: plans, actors i reptes de futur

Irrigation has traditionally constituted one of the most characteristic and emblematic agricultural mosaics of the Mediterranean as a key factor of socio-economic dynamism of the territorial matrix. In recent years there has been an important scientific, intellectual and social environment mobilization around water uses and, in particular, around the main socio-economic use of resource: irrigation, which is undergoing an intense and accelerated transformation process. Thus, in parallel with the decline of traditional irrigation systems, located in areas with natural availability of water, fertile soil and appropriate topographic conditions, the socio-economic changes in the last decade have stimulated the appearance of new irrigated areas with environmental, social and economic disparate characteristics. As a result, the irrigation management model has been conditioned to respond to the new parameters of water scarcity and resource efficiency. In addition, policies and actors have evolved over time as a consequence of disparate priorities –and often conflicting– in terms of irrigation, making necessary the gear of different discourses. In this context, the Model of social commitment of irrigation proposed by the Institutional and Social Innovations in Irrigation Mediterranean Management (ISIIMM) can become a starting example

Special issue on evolving the e-marketing mindset towards the social web model - Editorial Part 1

Con este proyecto editorial nuestro objetivo es promover un campo de investigación clave en la comercialización de hoy, es decir, la evolución de la mentalidad e-marketing hacia el nuevo modelo de web social.

Reactive and proactive approaches for introspective CBR

This work investigates applying introspective reasoning to improve the performance of Case-Based Reasoning (CBR) systems, in both reactive and proactive fashion, by guiding learning to improve how a CBR system applies its cases and by identifying possible future system deficiencies. First we present our reactive approach, a new introspective reasoning model which enables CBR systems to autonomously learn to improve multiple facets of their reasoning processes in response to poor quality solutions. We illustrate our model’s benefits with experimental results from tests in an industrial design application. Then as for our proactive approach, we introduce a novel method for identifying regions in a case-base where the system gives low confidence solutions to possible future problems. Experimentation is provided for Zoology and Robo-Soccer domains and we argue how encountered regions of dubiosity help us to analyze the case-bases of a given CBR system.

Including the workload effect in the parallel program signature

Performance prediction and application behavior modeling have been the subject of exten- sive research that aim to estimate applications performance with an acceptable precision. A novel approach to predict the performance of parallel applications is based in the con- cept of Parallel Application Signatures that consists in extract an application most relevant parts (phases) and the number of times they repeat (weights). Executing these phases in a target machine and multiplying its exeuction time by its weight an estimation of the application total execution time can be made. One of the problems is that the performance of an application depends on the program workload. Every type of workload affects differently how an application performs in a given system and so affects the signature execution time. Since the workloads used in most scientific parallel applications have dimensions and data ranges well known and the behavior of these applications are mostly deterministic, a model of how the programs workload affect its performance can be obtained. We create a new methodology to model how a program’s workload affect the parallel application signature. Using regression analysis we are able to generalize each phase time execution and weight function to predict an application performance in a target system for any type of workload within predefined range. We validate our methodology using a synthetic program, benchmarks applications and well known real scientific applications.

AgilITIL : creación de una wiki semántica de soporte a los procesos de control

Este trabajo tiene como objetivo crear una Wiki Semántica que sirva de soporte para un modelo de gestión de servicios ágil, colaborativo y fácilmente implantable en las organizaciones denominadas pymes. En este tipo de organizaciones el posicionamiento inicial, ante la adopción de políticas como las sugeridas en ITIL, suele ser de rechazo, por la cantidad de trabajo añadido que previsiblemente genera. La Web Semántica aporta al conjunto la capacidad para establecer reglas de gestión del conocimiento, factor determinante para el crecimiento de una organización. El marco de recomendaciones ITIL es muy extenso y en este trabajo se pretende dar respuesta a los procesos de control pertenecientes a la fase del ciclo de vida denominada "Transición del Servicio". Estos procesos son: la gestión de la configuración, la gestión del cambio y la gestión de la entrega y despliegue.