Public investment in transportation infrastructures and regional asymmetries in Portugal

The objective of this paper is to investigate the regional incidence of the effects of public investment in transportation infrastructures in Portugal. Our methodological approach consists of estimating vector autoregressive (VAR) models for the national economy as well as for each of the five administrative regions in the country. In the regional models, both public investment in transportation infrastructures in the region and public investment in transportation infrastructures elsewhere are considered, thereby taking into consideration the potential existence of regional spillovers. Empirical results suggest that although public investment in transportation infrastructures has been a powerful instrument to promote long-term growth, it does so in a way that is rather unbalanced across regions. We show that public investment in transportation infrastructures has markedly contributed to the concentration of economic activity in Lisbon, the largest region in the country, and therefore has contributed markedly to the macrocephaly of the country.

RE in Mexico : Barriers and strategies

Mexico offers good opportunities for renewables in electricity generation. However, relatively little attention has been given to this alternative, albeit its large potential in this country. Dr Jorge Huacuz, Non-Conventional Energy Unit, Electrical Research Institute (IIE), Mexico gives his perspective on activities carried out in Mexico in the field of renewables for electricity production. They include rural electrification programs and a recently established Pilot Plan devised by the IIE to foster development of renewable energy. The main objectives of this Pilot Plan are described and the main barriers for the implementation of renewables for electricity generation in Mexico are discussed.     

Preferential potentiation of the effects of serotonin uptake inhibitors by 5-HT1A receptor antagonists in the dorsal raphe pathway: role of somatodendritic autoreceptors

5-HT1A autoreceptor antagonists enhance the effects of antidepressants by preventing a negative feedback of serotonin (5-HT) at somatodendritic level. The maximal elevations of extracellular concentration of 5-HT (5-HT(ext)) induced by the 5-HT uptake inhibitor paroxetine in forebrain were potentiated by the 5-HT1A antagonist WAY-100635 (1 mg/kg s.c.) in a regionally dependent manner (striatum > frontal cortex > dorsal hippocampus). Paroxetine (3 mg/kg s.c.) decreased forebrain 5-HT(ext) during local blockade of uptake. This reduction was greater in striatum and frontal cortex than in dorsal hippocampus and was counteracted by the local and systemic administration of WAY-100635. The perfusion of 50 micromol/L citalopram in the dorsal or median raphe nucleus reduced 5-HT(ext) in frontal cortex or dorsal hippocampus to 40 and 65% of baseline, respectively. The reduction of cortical 5-HT(ext) induced by perfusion of citalopram in midbrain raphe was fully reversed by WAY-100635 (1 mg/kg s.c.). Together, these data suggest that dorsal raphe neurons projecting to striatum and frontal cortex are more sensitive to self-inhibition mediated by 5-HT1A autoreceptors than median raphe neurons projecting to the hippocampus. Therefore, potentiation by 5-HT1A antagonists occurs preferentially in forebrain areas innervated by serotonergic neurons of the dorsal raphe nucleus.     

The Servet 3.0 benchmark suite: Characterization of network performance degradation

Servet is a suite of benchmarks focused on extracting a set of parameters with high influence on the overall performance of multicore clusters. These parameters can be used to optimize the performance of parallel applications by adapting part of their behavior to the characteristics of the machine. Up to now the tool considered network bandwidth as constant and independent of the communication pattern. Nevertheless, the inter-node communication bandwidth decreases on modern large supercomputers depending on the number of cores per node that simultaneously access the network and on the distance between the communicating nodes. This paper describes two new benchmarks that improve Servet by characterizing the network performance degradation depending on these factors. This work also shows the experimental results of these benchmarks on a Cray XE6 supercomputer and some examples of how real parallel codes can be optimized by using the information about network degradation.     

Hippocampal and caudate metabolic activity associated with different navigational strategies.

Hippocampal and striatal systems are widely related to spatial tasks. Depending on the strategies used, different memory systems can be activated. In this study, the authors used the cytochrome c-oxidase technique as a functional marker of the hippocampal and dorsal striatum activity related to training in several water maze tasks. Current results show a differential participation of the hippocampal and striatal systems in navigation. When spatial information is relevant, participation of the hippocampal system is more important, and when the task is similar to a response learning one, the striatal system is more active. According to computational models, CA3 seems to be more active when the associative demand is higher, whereas CA1 and dentate gyrus activity are higher when spatial information processing is required. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Infiltration Capacity Assessment of Urban Pavements Using the LCS Permeameter and the CP Infiltrometer

This paper presents the Cantabrian portable infiltrometer (CP infiltrometer), a specially designed device based on rainfall simulation for the assessment of the infiltration capacity of all types of urban pavements. Several pervious and impervious surfaces were tested with the LCS permeameter, an existing infiltration test based on the use of a column of water, and the CP Infiltrometer, simulating rain intensities with return periods of 10, 50, and 500 years and 5?min duration. The discussion of the results indicates that the CP infiltrometer could be used successfully to identify different levels of infiltration capacity and to assess the correct performance of pervious surfaces on which design, construction, and maintenance decisions are based.