91 research outputs found

    Tres plànols de fa més de vint anys

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    L'autor fa una valoració de les propostes del Pla des de la perspectiva temporal que li proporciona l'experiència en l'elaboració de l'anterior versió del Pla

    Transports, communications and logistics. Going to America a hundred years after

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    Business development of the transport infrastructure sector, where builders have gone into infrastructure management

    Transports, comunicacions i logística. Fer les Amèriques cent anys després

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    Desenvolupament de les empreses del sector d’infraestructures de transport, on constructores han entrat en la gestió d’infraestructures

    Remarks on how to map the Europe 2020 Strategy

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    The ‘Europe 2020 Strategy’ was issued in 2010 by the European Commission. This document constitutes a growth scheme for the decade 2010-2020 that aims to help the European Union to emerge from the current crisis through the so-called smart, sustainable and inclusive dimensions of growth. In this context, the basic aim of the SIESTA (“Spatial Indicators for a ‘Europe 2020 Strategy’ Territorial Analysis”) Project has been to illustrate the territorial dimension of the ‘Europe 2020 Strategy’. In other words, to show how this document acts territorially, particularly at the regional scale, but, when possible, also at the urban level. The SIESTA Project has been funded by ESPON (“European Observation Network for Territorial Development and Cohesion”), a European Commission Programme whose mission is to support policy development in relation to the aim of territorial cohesion and a harmonious development of the European territory. This book includes most of the main findings and conclusions obtained through research of the SIESTA Project. The contents were presented and discussed as keynote addresses or communications at the SIESTA Final Conference held in Santiago de Compostela, Galicia, on 4-5 April 2013

    Relació amb la demanda d’habitatge

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    Presentació en power-pointPostprint (author’s final draft

    Característiques de l’habitatge actual

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    Presentació power-pointPostprint (author’s final draft

    Human growth hormone (GH1) gene polymorphism map in a normal-statured adult population

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    OBJECTIVE: GH1 gene presents a complex map of single nucleotide polymorphisms (SNPs) in the entire promoter, coding and noncoding regions. The aim of the study was to establish the complete map of GH1 gene SNPs in our control normal population and to analyse its association with adult height. DESIGN, SUBJECTS AND MEASUREMENTS: A systematic GH1 gene analysis was designed in a control population of 307 adults of both sexes with height normally distributed within normal range for the same population: −2 standard deviation scores (SDS) to +2 SDS. An analysis was performed on individual and combined genotype associations with adult height. RESULTS: Twenty-five SNPs presented a frequency over 1%: 11 in the promoter (P1 to P11), three in the 5′UTR region (P12 to P14), one in exon 1 (P15), three in intron 1 (P16 to P18), two in intron 2 (P19 and P20), two in exon 4 (P21 and P22) and three in intron 4 (P23 to P25). Twenty-nine additional changes with frequencies under 1% were found in 29 subjects. P8, P19, P20 and P25 had not been previously described. P6, P12, P17 and P25 accounted for 6·2% of the variation in adult height (P = 0·0007) in this population with genotypes A/G at P6, G/G at P6 and A/G at P12 decreasing height SDS (−0·063 ± 0·031, −0·693 ± 0·350 and −0·489 ± 0·265, Mean ± SE) and genotypes A/T at P17 and T/G at P25 increasing height SDS (+1·094 ± 0·456 and +1·184 ± 0·432). CONCLUSIONS: This study established the GH1 gene sequence variation map in a normal adult height control population confirming the high density of SNPs in a relatively small gene. Our study shows that the more frequent SNPs did not significantly contribute to height determination, while only one promoter and two intronic SNPs contributed significantly to it. Studies in larger populations will have to confirm the associations and in vitro functional studies will elucidate the mechanisms involved. Systematic GH1 gene analysis in patients with growth delay and suspected GH deficiency/insufficiency will clarify whether different SNP frequencies and/or the presence of different sequence changes may be associated with phenotypes in them
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