3,150 research outputs found

    Designing (added) value : social innovation in flexible networks

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    Development plan for Malta : 1973-1980 : a strategy for independence and employment

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    Development plans are usually characterised by a strong emphasis on the economic aspects of development. This explains or is at least one of the reasons why development plans are sometimes heavily criticised. But economic aspects can only be emphasized or maybe overemphasized but not dealt with in a separate manner. Although it is true that the economic, social and political aspects of development can be distinguished for analytical convenience, they can never be divided from each other. It is the purpose of this article to evaluate the broad economic, social and political strategy of the Development Plan for Malta 1973-1980, further to be referred to as the Plan. The objectives and policies of the Plan will be investigated without going into the specific and detailed aspects. It will rather concentrate upon the interdependence of the objectives and policies and how the Plan arrives at a deliberate and consistent strategy.peer-reviewe

    Why are users complaining more?

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    In an interview with the Editor, Elke den Ouden explained her study into complaints from consumers about products

    Why are users complaining more?

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    In an interview with the Editor, Elke den Ouden explained her study into complaints from consumers about products

    Prediction error dependent changes in brain connectivity during associative learning

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    One of the fundaments of associative learning theories is that surprising events drive learning by signalling the need to update one’s beliefs. It has long been suggested that plasticity of connection strengths between neurons underlies the learning of predictive associations: Neural units encoding associated entities change their connectivity to encode the learned associative strength. Surprisingly, previous imaging studies have focused on correlations between regional brain activity and variables of learning models, but neglected how these variables changes in interregional connectivity. Dynamic Causal Models (DCMs) of neuronal populations and their effective connectivity form a novel technique to investigate such learning dependent changes in connection strengths. In the work presented here, I embedded computational learning models into DCMs to investigate how computational processes are reflected by changes in connectivity. These novel models were then used to explain fMRI data from three associative learning studies. The first study integrated a Rescorla-Wagner model into a DCM using an incidental learning paradigm where auditory cues predicted the presence/absence of visual stimuli. Results showed that even for behaviourally irrelevant probabilistic associations, prediction errors drove the consolidation of connection strengths between the auditory and visual areas. In the second study I combined a Bayesian observer model and a nonlinear DCM, using an fMRI paradigm where auditory cues differentially predicted visual stimuli, to investigate how predictions about sensory stimuli influence motor responses. Here, the degree of striatal prediction error activity controlled the plasticity of visuo-motor connections. In a third study, I used a nonlinear DCM and data from a fear learning study to demonstrate that prediction error activity in the amygdala exerts a modulatory influence on visuo-striatal connections. Though postulated by many models and theories about learning, to our knowledge the work presented in this thesis constitutes the first direct report that prediction errors can modulate connection strength

    The Care Accelerator R&D Programme in Europe

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    CARE, an ambitious and coordinated programme of accelerator research and developments oriented towards high energy physics projects, has been launched in January 2004 by the main European laboratories and the European Commission. This project aims at improving existing infrastructures dedicated to future projects such as linear colliders, upgrades of hadron colliders and high intensity proton drivers. We describe the CARE R&D plans, mostly devoted to advancing the performance of the superconducting technology, both in the fields of RF cavities for electron or proton acceleration and of high field magnets, as well as to developing high intensity electron and proton injectors. We highlight some results and progress obtained so far
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