Regional value added in Italy over the long run (1891-2001): linking indirect estimates with official figures, and implications

This paper presents value added estimates for the Italian regions, in benchmark years from 1891 until 1951, which are linked to those from official figures available from 1971 in order to offer a long-term picture. Sources and methodology are documented and discussed, whilst regional activity rates and productivity are also presented and compared. Thus some questions are briefly reconsidered: the origins and extent of the north-south divide, the role of migration and regional policy in shaping the pattern of regional inequality, the importance of social capital, and the positioning of Italy in the international debate on regional convergence, where it stands out for the long run persistence of its disparities.

Analysis of nonlinear noisy integrate & fire neuron models: blow-up and steady states

Nonlinear Noisy Leaky Integrate and Fire (NNLIF) models for neurons networks can be written as Fokker-Planck-Kolmogorov equations on the probability density of neurons, the main parameters in the model being the connectivity of the network and the noise. We analyse several aspects of the NNLIF model: the number of steady states, a priori estimates, blow-up issues and convergence toward equilibrium in the linear case. In particular, for excitatory networks, blow-up always occurs for initial data concentrated close to the firing potential. These results show how critical is the balance between noise and excitatory/inhibitory interactions to the connectivity parameter.

Sectoral composition and macroeconomic dynamics

We analyze the transitional dynamics of a model with heterogeneous consumption goods. In this model, convergence is driven by two different forces: the typical diminishing returns to capital and the sectoral change inducing the variation in relative prices. We show that this second force affects the growth rate if the two consumption goods are not Edgeworth independent and if these two goods are produced with technologies exhibiting different capital intensities. Because the afore mentioned dynamic sectoral change arises only under heterogeneous consumption goods, the transitional dynamics of this model exhibits striking differences with the growth model with a single consumption good. We also show that these differences in the transitional dynamics can give raise to large discrepancies in the welfare cost of shocks between the economy with a unique consumption good and the economy with multiple consumption goods.

Relaxation methods for solving linear inequality systems: Converging results

The problem of finding a feasible solution to a linear inequality system arises in numerous contexts. In [12] an algorithm, called extended relaxation method, that solves the feasibility problem, has been proposed by the authors. Convergence of the algorithm has been proven. In this paper, we onsider a class of extended relaxation methods depending on a parameter and prove their convergence. Numerical experiments have been provided, as well.

On the stability of the optimal value and the optimal set in optimization problems

The paper develops a stability theory for the optimal value and the optimal set mapping of optimization problems posed in a Banach space. The problems considered in this paper have an arbitrary number of inequality constraints involving lower semicontinuous (not necessarily convex) functions and one closed abstract constraint set. The considered perturbations lead to problems of the same type as the nominal one (with the same space of variables and the same number of constraints), where the abstract constraint set can also be perturbed. The spaces of functions involved in the problems (objective and constraints) are equipped with the metric of the uniform convergence on the bounded sets, meanwhile in the space of closed sets we consider, coherently, the Attouch-Wets topology. The paper examines, in a unified way, the lower and upper semicontinuity of the optimal value function, and the closedness, lower and upper semicontinuity (in the sense of Berge) of the optimal set mapping. This paper can be seen as a second part of the stability theory presented in [17], where we studied the stability of the feasible set mapping (completed here with the analysis of the Lipschitz-like property).

La formació permanent en el context de l'Espai Europeu de la Formació Permanent

La importància de la formació permanent és indiscutible en qualsevol context laboral i molt especialment en les actuals circumstàncies de crisi econòmica mundial. Però en l'actual espai europeu d'educació superior (EEES), les tendències i els plans de formació contínua adquireixen una dimensió global, que supera o, millor dit, hauria de superar els plantejaments reduccionistes. Per això, la construcció i el desenvolupament de l'espai europeu de formació permanent, EEFP (Comissió de les Comunitats Europees, 2001a), ha d'entendre's com un procés que està immers en un teixit més ampli. Es tracta d'una acció en xarxa on és necessària la implicació de molts agents actius professionals i on la convergència, el reconeixement i la cohesió han de ser els seus màxims elements qualitatius

A subspace correction method for discontinuous Galerkin discretizations of linear elasticity equations

We study preconditioning techniques for discontinuous Galerkin discretizations of isotropic linear elasticity problems in primal (displacement) formulation. We propose subspace correction methods based on a splitting of the vector valued piecewise linear discontinuous finite element space, that are optimal with respect to the mesh size and the Lamé parameters. The pure displacement, the mixed and the traction free problems are discussed in detail. We present a convergence analysis of the proposed preconditioners and include numerical examples that validate the theory and assess the performance of the preconditioners.

Post-adopció i resiliència: l'ajust psicosocial i vivència de l'adopció en infants adoptats internacionalment

Antecedents. Cada cop són més els nens i nenes adoptats internacionalment que creixen en la nostra societat, i el seu ajust psicosocial s’ha convertit en un assumpte d’especial interès i rellevància. Objectius. Estudiar l'ajust psicosocial i la vivència de l'adopció en els infants adoptats internacionalment. Els objectius específics són: 1) estudiar els nivells d’adaptació personal i social en nens i nenes adoptats/des internacionalment, en comparació amb els estàndards de la població normativa; 2) estudiar la vivència de l’adopció en nens i nenes adoptats internacionalment i la percepció que mares i pares en tenen al respecte; 3) analitzar el paper de las variables estrés i estratègies d’afrontament en l’ajust psicosocial dels infants adoptats. Material i Mètode. La mostra està formada per 103 infants adoptats a l’estranger, d’entre 8 i 12 anys, i els seus respectius pares i mares. Els participants completaren les següents proves: BASC (Behavior Assessment System for Children (BASC; Reynolds & Kamphaus, 1992), Qüestionari de punts forts i febles (SDQ; Goodman, 1997, 1999), Escala de la vivència adoptiva (Reinoso, 2008), Kidcope (Spirito, Stara y Williams, 1988). En realitzen anàlisis estadístics de tipus descriptiu, comparatiu, correlacional i exploratori. Resultats. La majoria dels menors adoptats internacionalment presenta bons nivells de funcionament, si bé un 25% d’ells presenta dificultats adaptatives bàsiques. En general s’observa un elevat nivell de convergència en la visió de l’experiència adoptiva entre nens/es i mares i pares. Els infants puntuen més alt en identitat cultural i més baix en discriminació percebuda que els seus pares/mares. Principalment esmenten problemes interpersonals de relació i de salut, malalties i accidents i utilitzen predominantment estratègies d’afrontament aproximatives. Els estressors vinculats amb l’experiència adoptiva són escassament mencionats. Conclusions. L’especificitat de la condició adoptiva requereix d’intervencions ajustades a la realitat d’aquests les necessitats d’aquests nens i les seves families.

El canvi social i educatiu al nou EEES : posicionament del docent i el discent de la Titulació de Fisioteràpia

Implementació, docent, discent, Fisioteràpia i EEES A mesura que s'apropa la implementació del model preconitzat per l'EEES, apareixen experiències diverses, opinions confrontades i canvis que requereixen un gran esforç en diferents àmbits. Aquest treball d'investigació té un enfocament social del procés de Convergència Europea. Concreta l'estudi a la Diplomatura de Fisioteràpia de la Universitat de València, i tracta de respondre a la qüestió: com experencien el docent i el discent el conjunt de transformacions que acompanyen la implementació del projecte europeu d'educació superior?

La comunicació com a factor de canvi en la societat de la informació : Internet en el context audiovisual de Catalunya. Informe final de recerca

Aquest estudi tracta d'entendre els patrons de transformació actuals relacionats amb els mitjans de comunicació a Catalunya dins d'un context de ràpida expansió de les TIC i una creixent complexitat tecnològica i social. Analitza Internet en els mitjans de comunicació "tradicionals", pel que fa a ús, funció i pràctiques de comunicació, tenint en compte l'impacte de les tendències de digitalització actuals i la convergència en el procés de consum, creació, producció, edició i distribució de contingut.

The allometry of non-employment. What can compositional data analysis tell us about labour market performance across the UK's regions?

The low levels of unemployment recorded in the UK in recent years are widely cited asevidence of the country’s improved economic performance, and the apparent convergence of unemployment rates across the country’s regions used to suggest that the longstanding divide in living standards between the relatively prosperous ‘south’ and the more depressed ‘north’ has been substantially narrowed. Dissenters from theseconclusions have drawn attention to the greatly increased extent of non-employment(around a quarter of the UK’s working age population are not in employment) and themarked regional dimension in its distribution across the country. Amongst these dissenters it is generally agreed that non-employment is concentrated amongst oldermales previously employed in the now very much smaller ‘heavy’ industries (e.g. coal,steel, shipbuilding).This paper uses the tools of compositiona l data analysis to provide a much richer picture of non-employment and one which challenges the conventional analysis wisdom about UK labour market performance as well as the dissenters view of the nature of theproblem. It is shown that, associated with the striking ‘north/south’ divide in nonemployment rates, there is a statistically significant relationship between the size of the non-employment rate and the composition of non-employment. Specifically, it is shown that the share of unemployment in non-employment is negatively correlated with the overall non-employment rate: in regions where the non-employment rate is high the share of unemployment is relatively low. So the unemployment rate is not a very reliable indicator of regional disparities in labour market performance. Even more importantly from a policy viewpoint, a significant positive relationship is found between the size ofthe non-employment rate and the share of those not employed through reason of sicknessor disability and it seems (contrary to the dissenters) that this connection is just as strong for women as it is for men

Hybrid coordination of reinforcement learning-based behaviors for AUV control

This paper proposes a hybrid coordination method for behavior-based control architectures. The hybrid method takes advantages of the robustness and modularity in competitive approaches as well as optimized trajectories in cooperative ones. This paper shows the feasibility of applying this hybrid method with a 3D-navigation to an autonomous underwater vehicle (AUV). The behaviors are learnt online by means of reinforcement learning. A continuous Q-learning implemented with a feed-forward neural network is employed. Realistic simulations were carried out. The results obtained show the good performance of the hybrid method on behavior coordination as well as the convergence of the behaviors

Efficient learning of reactive robot behaviors with a Neural-Q_learning approach

The purpose of this paper is to propose a Neural-Q_learning approach designed for online learning of simple and reactive robot behaviors. In this approach, the Q_function is generalized by a multi-layer neural network allowing the use of continuous states and actions. The algorithm uses a database of the most recent learning samples to accelerate and guarantee the convergence. Each Neural-Q_learning function represents an independent, reactive and adaptive behavior which maps sensorial states to robot control actions. A group of these behaviors constitutes a reactive control scheme designed to fulfill simple missions. The paper centers on the description of the Neural-Q_learning based behaviors showing their performance with an underwater robot in a target following task. Real experiments demonstrate the convergence and stability of the learning system, pointing out its suitability for online robot learning. Advantages and limitations are discussed

Semi-online neural-Q_leaming for real-time robot learning

Reinforcement learning (RL) is a very suitable technique for robot learning, as it can learn in unknown environments and in real-time computation. The main difficulties in adapting classic RL algorithms to robotic systems are the generalization problem and the correct observation of the Markovian state. This paper attempts to solve the generalization problem by proposing the semi-online neural-Q_learning algorithm (SONQL). The algorithm uses the classic Q_learning technique with two modifications. First, a neural network (NN) approximates the Q_function allowing the use of continuous states and actions. Second, a database of the most representative learning samples accelerates and stabilizes the convergence. The term semi-online is referred to the fact that the algorithm uses the current but also past learning samples. However, the algorithm is able to learn in real-time while the robot is interacting with the environment. The paper shows simulated results with the "mountain-car" benchmark and, also, real results with an underwater robot in a target following behavior

Policy gradient based Reinforcement Learning for real autonomous underwater cable tracking

This paper proposes a field application of a high-level reinforcement learning (RL) control system for solving the action selection problem of an autonomous robot in cable tracking task. The learning system is characterized by using a direct policy search method for learning the internal state/action mapping. Policy only algorithms may suffer from long convergence times when dealing with real robotics. In order to speed up the process, the learning phase has been carried out in a simulated environment and, in a second step, the policy has been transferred and tested successfully on a real robot. Future steps plan to continue the learning process on-line while on the real robot while performing the mentioned task. We demonstrate its feasibility with real experiments on the underwater robot ICTINEU AUV