European integration, labour market dynamics and migration flows

This paper has a double goal. On one side we want to evaluate the effect of economic integration on migration flows moving from the enlargement countries towards the EU-15; on the other, we want to analyse whether the migration flows had any impact over employment, real wages and labour force in the receiving countries of the European labour market. Due to the fact that economic integration can be observed in different real, monetary and financial phenomena, we refer to three of these to measure integration: trade openness, trade integration and financial market integration. These indicators have been inserted in a theoretical model that tries to explain labour market dynamics. The theoretical context that seemed the most suitable one to summarise European labour market characteristics is a modified version of the insider/outsider model proposed by Layard, Nickell and Jackman (LNJ, 1991). Another innovative contribution is the introduction of an equation modelling migration flows, whose creation is inspired to the neo-classic approach to the migration theory (Harris-Todaro, 1970). The model based on rational expectations is solved to find the equilibrium solution and the impact multipliers. Subsequently we estimated a structural VAR with the aim of both evaluating the impact that different shocks on integration measures have on migration flows, and measuring the type of effects that an increase in migration flows causes on the labour market. The estimates show that economic integration generate relevant effects on migration flows from the enlargement countries towards the EU-15 countries. Moreover, from the results emerge that migration flows generate an effect on the labour market.European economic integration, labour market effects, migration

BUILDING SYNTHETIC INDICATORS FOR ASPECTS OF TERRITORIAL CAPITAL TOWARDS THEIR IMPACT ON REGIONAL PERFORMANCE

Empirical analyses highlight local structural features (territorial capital) as constraints on regional growth and interregional convergence processes, but scant attention is devoted to traditional localised resources and specifically the natural and cultural heritage. However, only the application of know-how embodied in human capital to resources provides value. Specifically, heritage becomes economically relevant through human capital acting via tourist, recreational and cultural activities. Although, because of its service exporting nature, tourism contributes to economic growth and job creation similarly to manufacturing, the literature concerned manufacturing and rarely studied tourism or extended results to it. Besides, in Europe tourism is the market activity most favouring policentricity, territorial cohesion and equity. On the other hand, heritage valorisation responding to tourist service demand has adverse effects on development (congestion) and environmental quality / resource consumption (heritage dissipation); these partly offset strictly economic benefits and over time weaken the destination’s pull, hence its value and its population’s welfare. Our goal is to analyse the role of territorial capital, and specifically of intangibles such as natural and cultural capital, in regional growth processes and in local response processes to exogenous crises, by building a national database of territorial capital in Italian provinces, containing synthetic endowment indicators for natural and cultural heritage, human capital, and structure and distribution of tourism and leisure industries. Our methodology includes the application of multivariate analyses, with state-of-the-art techniques. We use available European and national databases, augmented by ad hoc integrations if and when needed. The study area is Italy; the optimal tier is NUTS3, i.e. provinces, in Italy. The time reference is 1990-2010, to ensure a structural long-term approach. The paper is organised in the following way: - an initial section outlines the original data on 103 provinces, providing 33 proxy indicators of which major univariate statistics and correlations are explored; - a first main section reduces indicators into 5 synthetic indicators, by means of factor analysis; - a second main section reduces provinces into 11 ideal types, by means of cluster analysis; - a final section compares and interprets results, also with reference to 2007-2009 economic dynamics.

European Integration, Labour Market Dynamics and Migration Flows

The paper has two objectives. Firstly, we wish to evaluate whether a greater economic integration has effects, and of what type, on migration flows from Central and Eastern Europe (New Member States of the EU, NMS) towards the fifteen countries of the European Union (EU-15). Secondly, we wish to understand what effect the migration flows from the NMS have on the labour market of the receiving countries in the EU-15. The most suitable theoretical context that seems to summarise European labour market characteristics is that of the insider/outsider model by Layard, Nickell and Jackman (Layard et al., 1991). We have modified the above mentioned model by introducing two innovations. Firstly, we constructed three measures that act as a proxy for economic integration: the Intra Regional Trade Index (IRTI), Global Trade Index (GTI) and Financial Market Integration (FMI). Then we placed the three indicators into the insider/outsider model to arrive at a modified version of Layard, Nickell and Jackman (Layard et al., 1991). The second innovative contribution was the introduction of an equation modelling migration flows. The creation of this equation is inspired by the neo-classical approach to migration theory (Harris-Todaro, 1970). The theoretical model, based on rational expectations, has been solved to find the equilibrium solution and the impact multipliers. We then carried out an empirical analysis, which involved estimating a Structural Vector Autoregression Model (SVAR). The aim of this estimation was to evaluate, on the one hand, the effect that greater European integration (a positive shock to the integration indicators) has on migration flows, and, on the other, to measure the type of effect that migration flows could have on the labour market of the EU-15 countries, considered as a single entity. The results of our empirical evidence show that economic integration does generate significant effects on migration flows from the enlargement countries towards the EU-15 countries. It also emerges that migration flows do generate an effect on the European labour market.European economic integration, labour market effects, migration

GUIDER: a GUI for semiautomatic, physiologically driven EEG feature selection for a rehabilitation BCI

GUIDER is a graphical user interface developed in MATLAB software environment to identify electroencephalography (EEG)-based brain computer interface (BCI) control features for a rehabilitation application (i.e. post-stroke motor imagery training). In this context, GUIDER aims to combine physiological and machine learning approaches. Indeed, GUIDER allows therapists to set parameters and constraints according to the rehabilitation principles (e.g. affected hemisphere, sensorimotor relevant frequencies) and foresees an automatic method to select the features among the defined subset. As a proof of concept, we compared offline performances between manual, just based on operator’s expertise and experience, and GUIDER semiautomatic features selection on BCI data collected from stroke patients during BCI-supported motor imagery training. Preliminary results suggest that this semiautomatic approach could be successfully applied to support the human selection reducing operator dependent variability in view of future multi-centric clinical trials

Interfacing cultured neurons to microtransducers arrays: A review of the neuro-electronic junction models

Microtransducer arrays, both metal microelectrodes and silicon-based devices, are widely used as neural interfaces to measure, extracellularly, the electrophysiological activity of excitable cells. Starting from the pioneering works at the beginning of the 70's, improvements in manufacture methods, materials, and geometrical shape have been made. Nowadays, these devices are routinely used in different experimental conditions (both in vivo and in vitro), and for several applications ranging from basic research in neuroscience to more biomedical oriented applications. However, the use of these micro-devices deeply depends on the nature of the interface (coupling) between the cell membrane and the sensitive active surface of the microtransducer. Thus, many efforts have been oriented to improve coupling conditions. Particularly, in the latest years, two innovations related to the use of carbon nanotubes as interface material and to the development of micro-structures which can be engulfed by the cell membrane have been proposed. In this work, we review what can be simulated by using simple circuital models and what happens at the interface between the sensitive active surface of the microtransducer and the neuronal membrane of in vitro neurons. We finally focus our attention on these two novel technological solutions capable to improve the coupling between neuron and micro-nano transducer

Experimental Investigation on Spontaneously Active Hippocampal Cultures Recorded by Means of High-Density MEAs: Analysis of the Spatial Resolution Effects

Based on experiments performed with high-resolution Active Pixel Sensor microelectrode arrays (APS-MEAs) coupled with spontaneously active hippocampal cultures, this work investigates the spatial resolution effects of the neuroelectronic interface on the analysis of the recorded electrophysiological signals. The adopted methodology consists, first, in recording the spontaneous activity at the highest spatial resolution (interelectrode separation of 21 μm) from the whole array of 4096 microelectrodes. Then, the full resolution dataset is spatially downsampled in order to evaluate the effects on raster plot representation, array-wide spike rate (AWSR), mean firing rate (MFR) and mean bursting rate (MBR). Furthermore, the effects of the array-to-network relative position are evaluated by shifting a subset of equally spaced electrodes on the entire recorded area. Results highlight that MFR and MBR are particularly influenced by the spatial resolution provided by the neuroelectronic interface. On high-resolution large MEAs, such analysis better represent the time-based parameterization of the network dynamics. Finally, this work suggest interesting capabilities of high-resolution MEAs for spatial-based analysis in dense and low-dense neuronal preparation for investigating signaling at both local and global neuronal circuitries

Physically Interactive Robogames: Definition and Design Guidelines

There is evidence that people expects to be able to play games with autonomous robots, so that robogames could be one of the next killer ap- plications for Robotics. Physically Interactive RoboGames (PIRG) is a new application field where autonomous robots are involved in games requiring physical interaction with people. Since research in this field is moving its first steps, definitions and design guidelines are still largely missing. n this paper, a definition for PIRG is proposed, together with guidelines for their design. Physically Interactive, Competitive RoboGames (PICoRG) are also introduced. They are a particular kind of PIRG where human players are involved in a challenging, highly interactive and competitive game activity with autonomous robots. The development process of a PICoRG, Jedi Trainer , is presented to show a practical application of the proposed guidelines. The game has been successfully played in different unstructured environments, by general public; feedback is reported and analysed

A new simulation environment to model spontaneous and evoked activity of large-scale neuronal networks coupled to micro-electrode arrays

Introduction The use of neuronal cultures coupled to Micro-Electrode Array (MEA) is becoming a widely used and recognized experimental model for studying basic properties of information processing in neuronal systems [1]. However, the electrophysiological activity of such large-scale neuronal networks is recorded only by tens/hundreds microelectrodes. This undersampling results in a lack of information. Thus the development of a new simulation environment able to reproduce the electrophysiological behavior typically found in these preparations offers a valid help to better understand the actual dynamics. In this work, we present the main features of our software showing the simulation results of the spontaneous and evoked activity of a high-connected network