Welfare Magnets, Taxation and the Location Decisions of Migrants to the EU

Migrants are among the groups most vulnerable to economic fluctuations. As predicted by the 'welfare magnet' hypothesis, migrants can therefore be expected to--ceteris paribus--prefer countries with more generous welfare provisions to insure themselves against labor market risks. This paper analyzes the role of the welfare magnet hypothesis for migrants to the EU-15 at the regional level. The empirical analysis based on a random parameters logit model shows that the regional location decisions of migrants are mostly governed by income opportunities, labor market conditions, ethnic networks and a common language. There is no strong evidence for the welfare magnet hypothesis in the EU, but the empirical model shows that the design of the (income) tax system has a large and consistent effect on locational choice.

The Role of Macroeconomic Policy in Overcoming Slow Economic Growth - International Comparisons and Policy Perspectives

A fundamental point of this paper is, that - given existing structures (!) - the persistent problem of high unemployment in Europe cannot be attributed to tendencies in "jobless-growth" but is mainly caused by the fact that GDP-growth has been - and is still too low. This argument is first based on the pronounced cyclical reagibility of employment and unemployment. A first glance at Figure 1 immediately reveals this cyclical reagibility of European labour-markets - which is, however combined with "hysteresis-effects", thus creating a tendency of increasing long-term unemployment. In the next section the question as to why growth-rates in the 80s and 90s were much lower than compared to the 60s and 70s will be studied. The connections between employment and economic growth will be discussed in more detail in section 3 of this paper.

Emergent Properties in Structurally Dynamic Disordered Cellular Networks

We relate structurally dynamic cellular networks, a class of models we developed in fundamental space-time physics, to SDCA, introduced some time ago by Ilachinski and Halpern. We emphasize the crucial property of a non-linear interaction of network geometry with the matter degrees of freedom in order to emulate the supposedly highly erratic and strongly fluctuating space-time structure on the Planck scale. We then embark on a detailed numerical analysis of various large scale characteristics of several classes of models in order to understand what will happen if some sort of macroscopic or continuum limit is performed. Of particular relevance in this context is a notion of network dimension and its behavior in this limit. Furthermore, the possibility of phase transitions is discussed.Comment: 20 pages, Latex, 6 figure

Fast and robust learning by reinforcement signals: explorations in the insect brain

We propose a model for pattern recognition in the insect brain. Departing from a well-known body of knowledge about the insect brain, we investigate which of the potentially present features may be useful to learn input patterns rapidly and in a stable manner. The plasticity underlying pattern recognition is situated in the insect mushroom bodies and requires an error signal to associate the stimulus with a proper response. As a proof of concept, we used our model insect brain to classify the well-known MNIST database of handwritten digits, a popular benchmark for classifiers. We show that the structural organization of the insect brain appears to be suitable for both fast learning of new stimuli and reasonable performance in stationary conditions. Furthermore, it is extremely robust to damage to the brain structures involved in sensory processing. Finally, we suggest that spatiotemporal dynamics can improve the level of confidence in a classification decision. The proposed approach allows testing the effect of hypothesized mechanisms rather than speculating on their benefit for system performance or confidence in its responses

Heritage Protection Versus Individual Interests in a Post-Socialist Country: the Case of Mšeno, Czech Republic

Large-scale investment is routinely believed to be the main danger to urban heritage. The measures designed to sustain heritage thus traditionally focus on steering investment into respectful ways of real-estate development. The majority of Czech built heritage is, however, located in towns and villages that rather face economic decline. Losses of objects of heritage in such places are often due to lack of maintenance. The case study of this article discusses the issues of heritage protection and restoration of the Enlisted town zone of Mšeno, where affordability and communication of values are the key issues in heritage protection

Pregeometric Concepts on Graphs and Cellular Networks as Possible Models of Space-Time at the Planck-Scale

Starting from the working hypothesis that both physics and the corresponding mathematics have to be described by means of discrete concepts on the Planck-scale, one of the many problems one has to face is to find the discrete protoforms of the building blocks of continuum physics and mathematics. In the following we embark on developing such concepts for irregular structures like (large) graphs or networks which are intended to emulate (some of) the generic properties of the presumed combinatorial substratum from which continuum physics is assumed to emerge as a coarse grained and secondary model theory. We briefly indicate how various concepts of discrete (functional) analysis and geometry can be naturally constructed within this framework, leaving a larger portion of the paper to the systematic developement of dimensional concepts and their properties, which may have a possible bearing on various branches of modern physics beyond quantum gravity.Comment: 16 pages, Invited paper to appear in the special issue of the Journal of Chaos, Solitons and Fractals on: "Superstrings, M, F, S ... Theory" (M.S. El Naschie, C. Castro, Editors

Probing the dynamics of identified neurons with a data-driven modeling approach

In controlling animal behavior the nervous system has to perform within the operational limits set by the requirements of each specific behavior. The implications for the corresponding range of suitable network, single neuron, and ion channel properties have remained elusive. In this article we approach the question of how well-constrained properties of neuronal systems may be on the neuronal level. We used large data sets of the activity of isolated invertebrate identified cells and built an accurate conductance-based model for this cell type using customized automated parameter estimation techniques. By direct inspection of the data we found that the variability of the neurons is larger when they are isolated from the circuit than when in the intact system. Furthermore, the responses of the neurons to perturbations appear to be more consistent than their autonomous behavior under stationary conditions. In the developed model, the constraints on different parameters that enforce appropriate model dynamics vary widely from some very tightly controlled parameters to others that are almost arbitrary. The model also allows predictions for the effect of blocking selected ionic currents and to prove that the origin of irregular dynamics in the neuron model is proper chaoticity and that this chaoticity is typical in an appropriate sense. Our results indicate that data driven models are useful tools for the in-depth analysis of neuronal dynamics. The better consistency of responses to perturbations, in the real neurons as well as in the model, suggests a paradigm shift away from measuring autonomous dynamics alone towards protocols of controlled perturbations. Our predictions for the impact of channel blockers on the neuronal dynamics and the proof of chaoticity underscore the wide scope of our approach

Metal Laminated Tooling - A Quick and Flexible Tooling Concept

For the fast manufacturing of complex formed tools Fraunhofer IWS works together with partners from the industry on a constant automation solution for cutting, packaging and adding steel sheet cutouts. With the selection of the most suitable connecting technology, also requirements must be considered to quality, surface quality and the production costs. Deep drawing or stamping tools do not require a complete connection of the single metal sheets. Here, a fast and economical connection is the main objective. Due to simple automation, laser beam welding offers itself as joining process. On the other hand, a temperature-steady connection of the sheet metal lamellas is necessary for injection molds, which can resist the injection pressures.Mechanical Engineerin