A method to analyse the alignment of core values in collaborative networked organisations

Since collaborative networked organisations are usually formed by independent and heterogeneous entities, it is natural that each member holds his own set of values, and that conflicts among partners might emerge because of some misalignment of values. In contrast, it is often stated in literature that the alignment between the value systems of members involved in collaborative processes is a prerequisite for successful co-working. As a result, the issue of core value alignment in collaborative networks started to attract attention. However, methods to analyse such alignment are lacking mainly because the concept of 'alignment' in this context is still ill defined and shows a multifaceted nature. As a contribution to the area, this article introduces an approach based on causal models and graph theory for the analysis of core value alignment in collaborative networks. The potential application of the approach is then discussed in the virtual organisations' breeding environment context.

FMRI 3D registration based on Fourier space subsets using neural networks

In this work, we present a neural network (NN) based method designed for 3D rigid-body registration of FMRI time series, which relies on a limited number of Fourier coefficients of the images to be aligned. These coefficients, which are comprised in a small cubic neighborhood located at the first octant of a 3D Fourier space (including the DC component), are then fed into six NN during the learning stage. Each NN yields the estimates of a registration parameter. The proposed method was assessed for 3D rigid-body transformations, using DC neighborhoods of different sizes. The mean absolute registration errors are of approximately 0.030 mm in translations and 0.030 deg in rotations, for the typical motion amplitudes encountered in FMRI studies. The construction of the training set and the learning stage are fast requiring, respectively, 90 s and 1 to 12 s, depending on the number of input and hidden units of the NN. We believe that NN-based approaches to the problem of FMRI registration can be of great interest in the future. For instance, NN relying on limited K-space data (possibly in navigation echoes) can be a valid solution to the problem of prospective (in frame) FMRI registration.

Activités d’écriture approchée et entrée dans l’écrit des jeunes enfants: analyse comparative de démarches didactiques en première primaire en france

Nous présentons le suivi d’une cohorte d’élèves, de la grande section (troisième année de maternelle en France -5 ans) à la fin du CE1 (deuxième année de primaire –7/8 ans). La population est constituée d’un groupe contrôle et d’un groupe expérimental pratiquant des séances hebdomadaires d’écriture approchée, observées et filmées à différentes périodes de l’année (octobre, mars et juin). Dans notre contribution, nous analysons les séances filmées en fin de CP (première primaire), dans une perspective essentiellement comparatiste. L’objectif est de décrire la démarche didactique mise en œuvre par les enseignantes lors de séances d’enseignement de l’écriture. L'analyse des productions d'écrit et des verbalisations des élèves nous permet également d'évaluer ces démarches d’enseignement et de caractériser celle qui semble le plus propice au développement de compétences métalinguistiques des apprentis scripteurs