[Max Cyril] Morris sur Matchless [1000 cmc, concurrent de la course motocycliste Paris-Nice] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 57950

Psalty sur Rover [500 cmc, concurrent de la course motocycliste Paris-Nice] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 57947

Moto Royal Enfield, Oblin sur Royal Enfield, sidecar Diane [catégorie 1000 cmc, concurrent de la course motocycliste Paris-Nice] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 57948

Guibert sur BSA [750 cmc, concurrent de la course motocycliste Paris-Nice] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 57968

Etave sur Indian [1000 cmc, concurrent de la course motocycliste Paris-Nice] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 57969

11-2-20, pesage de Paris-Nice, Colombel sur Douglas [350 cmc, concurrent de la course motocycliste Paris-Nice] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 57957

P. W. White sur Sunbeam [500 cmc, concurrent de la course motocycliste Paris-Nice] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 57961

A chemical Hamiltonian approach study of the basis set superposition error changes on electron densities and one- and two-center energy components

A comparision of the local effects of the basis set superposition error (BSSE) on the electron densities and energy components of three representative H-bonded complexes was carried out. The electron densities were obtained with Hartee-Fock and density functional theory versions of the chemical Hamiltonian approach (CHA) methodology. It was shown that the effects of the BSSE were common for all complexes studied. The electron density difference maps and the chemical energy component analysis (CECA) analysis confirmed that the local effects of the BSSE were different when diffuse functions were present in the calculations

Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest.

Functional connectivity (FC) as measured by correlation between fMRI BOLD time courses of distinct brain regions has revealed meaningful organization of spontaneous fluctuations in the resting brain. However, an increasing amount of evidence points to non-stationarity of FC; i.e., FC dynamically changes over time reflecting additional and rich information about brain organization, but representing new challenges for analysis and interpretation. Here, we propose a data-driven approach based on principal component analysis (PCA) to reveal hidden patterns of coherent FC dynamics across multiple subjects. We demonstrate the feasibility and relevance of this new approach by examining the differences in dynamic FC between 13 healthy control subjects and 15 minimally disabled relapse-remitting multiple sclerosis patients. We estimated whole-brain dynamic FC of regionally-averaged BOLD activity using sliding time windows. We then used PCA to identify FC patterns, termed "eigenconnectivities", that reflect meaningful patterns in FC fluctuations. We then assessed the contributions of these patterns to the dynamic FC at any given time point and identified a network of connections centered on the default-mode network with altered contribution in patients. Our results complement traditional stationary analyses, and reveal novel insights into brain connectivity dynamics and their modulation in a neurodegenerative disease.

Disseny i implementació d'un framework de persistència

El present PFC requereix l'anàlisi i desenvolupament d'un conjunt de components que simplifiquin i agilitzin el desenvolupament de la capa de persistència en aplicacions multicapa en entorn JEE.

Passive modernization? the new human development index and its components in Italy’s regions (1871-2007)

The article presents and discusses estimates of social and economic indicators for Italy’s regions in benchmark years roughly from Unification to the present day: life expectancy, education, GDP per capita at purchasing power parity, and the new Human Development Index (HDI). A broad interpretative hypothesis, based on the distinction between passive and active modernization, is proposed to account for the evolution of regional imbalances over the long-run. In the lack of active modernization, Southern Italy converged thanks to passive modernization, i.e., State intervention: however, this was more effective in life expectancy, less successful in education, expensive and as a whole ineffective in GDP. As a consequence, convergence in the HDI occurred from the late XIX century to the 1970s, but came to a sudden halt in the last decades of the XX century.

Swain: Stata module to correct the SEM chi-square overidentification test in small sample sizes or complex models. Statistical Software Components S457617, Boston College Department of Economics.

Swain corrects the chi-square overidentification test (i.e., likelihood ratio test of fit) for structural equation models whethr with or without latent variables. The chi-square statistic is asymptotically correct; however, it does not behave as expected in small samples and/or when the model is complex (cf. Herzog, Boomsma, & Reinecke, 2007). Thus, particularly in situations where the ratio of sample size (n) to the number of parameters estimated (p) is relatively small (i.e., the p to n ratio is large), the chi-square test will tend to overreject correctly specified models. To obtain a closer approximation to the distribution of the chi-square statistic, Swain (1975) developed a correction; this scaling factor, which converges to 1 asymptotically, is multiplied with the chi-square statistic. The correction better approximates the chi-square distribution resulting in more appropriate Type 1 reject error rates (see Herzog & Boomsma, 2009; Herzog, et al., 2007).

Desarrollo CUDA en Java y Python

Análisis de desarrollo paralelo CUDA en lenguajes Java y Python, utilizando JCuda, RootBeer, PyCuda y Anaconda Accelerate. Cómo desarrollar, pros y contras de las herramientas analizadas.