546 research outputs found

    Special 50 jaar Vlaams Parlement.

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    In beeld: van Vlaamse Raad (1980) tot volwaardig Vlaams Parlement (p. 6-9) -- Interview met voorzitter Liesbeth Homans: 'Dit wordt geen volmachtenparlement' / Wouter Verschelden (p. 10-15) -- Vers bloed: de jonge revelatie ontpopt zich in het Vlaams Parlement / Wouter Verschelden (p. 16-23) -- Analyse Wouter Verschelden: 'Als stevige waakhond uit de federale schaduw' / Wouter Verschelden (p. 24-27) -- Beeldreportage: glazen koepel, open huis (p. 28-45) -- Het Vlaams Parlement, een terugblik / Martine Goossens (p. 46-85) -- Het eerste parlement van de Vlamingen / Martine Goossens (p. 48-57) -- Van cultuurparlement tot klassiek parlement / Martine Goossens (p. 58-71) -- Een politiek autonoom Vlaams Parlement / Martine Goossens (p. 72-79) -- De voorzitter van het Vlaams Parlement zit de plenaire vergadering voor en waakt over de uitvoering van alle beslissingen die daar genomen worden. De voorzitter staat boven de fracties en vertegenwoordigt het parlement naar buiten: Biografie / Martine Goossens (p. 80-83) -- Enkele belangrijke decreten / Martine Goossens (p. 84-85) -- Vlaamse emancipatie voor 1971 / Bruno De Wever (p. 86-125) -- Arm Vlaanderen / Bruno De Wever (p. 88-95) -- Guldensporenslag / Bruno De Wever (p. 96-99) -- Hier spreekt men Nederlands / Bruno De Wever (p. 100-105) -- Naar een tweede collaboratie / Bruno De Wever (p. 106-111) -- De unitaire staat is achterhaald / Bruno De Wever (p. 112-121) -- Enkele 'Vlaamsche koppen' die de emancipatie van taal en volk vanaf de Belgische onafhankelijkheid tot de Tweede Wereldoorlog hebben vormgegeven / Bruno De Wever (p. 122-125) -- Train je brein (p. 127-128) -- What's next? (p. 130)Homans, Liesbet

    Nano particles play with electrons: Fundamental research into electron transport inside dye-sensitised solar cells

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    Were stuck with a chicken-and-egg-problem: solar cells are expensive, so they dont get sold, which keeps the production volume low, so the price remains high.However, within a decade the price of electricity from a solar panel will be comparable to that of conventional mains power, says Dr. Albert Goossens, associate professor at the laboratory for Inorganic Chemistry at tu delft.He is currently investigating new methods and, in particular, new materials, that will render the production of electricity from solar energy more efficient. The special focus is on the Graetzel cell, a solar cell based on titanium dioxide (TiO2). Measurements of the speed of electrons led Goossens to the surprising conclusion that titanium dioxide nano particles behave like quantum dots

    Early Iron Age burial mounds in the Altay Mountains: from survey to analysis

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    An on-going Altay Mountains Survey Project at Ghent University in Belgium studies the archaeological landscape of the Altay Mountains since 2003. The project is directed by Prof. Dr. Jean Bourgeois and dr. Wouter Gheyle, and is done in cooperation with the Department of Geography (Prof. Dr. Rudi Goossens and Prof. Dr. Alain De Wulf). At the time of the Tumulistanbul meeting, six archaeological survey campaigns were executed to gather field data. This yielded a voluminous database with information about 12,047 archaeological structures.3 Burial mounds are certainly the most common features, with the tumuli or kurgans of the Early Iron Age (roughly 9th–2nd century BC) as the best-known examples. Our detailed site plans, combined with the resulting database, enable us to study the internal layout of the burial complexes and their geographical distribution. There are clear variations, sometimes linked with different research areas (higher valleys as opposed to lower areas, etc.). The paper will highlight several of these aspects

    Fast k-Fuzzy-Rough Cognitive Networks

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    Fuzzy-Rough Cognitive Networks (FRCNs) are neural networks that use rough information granules with soft boundaries to perform the classification process. Unlike other neural systems, FRCNs are lazy learners in the sense that we can build the whole model when classifying a new instance. This is possible because the weight matrix connecting the neurons is prescriptively programmed. Similar to other lazy learners, the processing time of FRCNs notably increases with the number of instances in the training set, while their performance deteriorates in noisy environments. Aiming at coping with these issues, this paper presents a new FRCN-based algorithm termed Fast k-Fuzzy-Rough Cognitive Network. This variant employs a multi-thread approach for building the information granules as computed by k-fuzzy-rough sets. Numerical simulations on 35 classification datasets show a notable reduction on FRCNs' processing time, while also delivering competitive results when compared to other lazy learners in noisy environments.</p

    Fuzzy Cognitive Maps: A Business Intelligence Discussion

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    Modeling complex systems by means of computational models has enabled experts to understand the problem domain without the need of waiting for the real events to happen. In that regard, fuzzy cognitive maps (FCMs) have become an important tool in the neural computing field because of their flexibility and transparency. However, obtaining a model able to align its dynamical behavior with the problem domain is not always trivial. In this paper, we discuss some aspects to be considered when designing FCM-based simulation models by relying on a business intelligence case study. In a nutshell, when the fixed point is unique, we recommend to focus on the number of iterations to converge instead of focusing on the reached attractor and stress the importance of the transfer function chosen in the model

    New insights on accretion in supergiant fast X-ray transients from XMM-Newton and INTEGRAL observations of IGR J17544-2619

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    XMM–Newton observations of the supergiant fast X-ray transient IGR J17544?2619 are reported and placed in the context of an analysis of archival INTEGRAL/IBIS data that provide a refined estimate of the orbital period at 4.9272?±?0.0004?d. A complete outburst history across the INTEGRAL mission is reported. Although the new XMM–Newton observations (each lasting ?15 ks) targeted the peak flux in the phase-folded hard X-ray light curve of IGR J17544?2619, no bright outbursts were observed, the source spending the majority of the exposure at intermediate luminosities of the order of several 1033?erg?s?1 (0.5–10 keV) and displaying only low level flickering activity. For the final portion of the exposure, the luminosity of IGR J17544?2619 dropped to ?4?×?1032?erg?s?1 (0.5–10 keV), comparable with the lowest luminosities ever detected from this source, despite the observations being taken near to periastron. We consider the possible orbital geometry of IGR J17544?2619 and the implications for the nature of the mass transfer and accretion mechanisms for both IGR J17544?2619 and the supergiant fast X-ray transients (SFXTs) population. We conclude that accretion under the ‘quasi-spherical accretion’ model provides a good description of the behaviour of IGR J17544?2619 and suggests an additional mechanism for generating outbursts based upon the mass accumulation rate in the hot shell (atmosphere) that forms around the neutron star under the quasi-spherical formulation. Hence, we hope to aid in explaining the varied outburst behaviours observed across the SFXT population with a consistent underlying physical model

    Early Iron Age burial mounds in the Altay Mountains: from survey to analysis

    No full text
    An on-going Altay Mountains Survey Project at Ghent University in Belgium studies the archaeological landscape of the Altay Mountains since 2003. The project is directed by Prof. Dr. Jean Bourgeois and dr. Wouter Gheyle, and is done in cooperation with the Department of Geography (Prof. Dr. Rudi Goossens and Prof. Dr. Alain De Wulf). At the time of the Tumulistanbul meeting, six archaeological survey campaigns were executed to gather field data. This yielded a voluminous database with information about 12,047 archaeological structures.3 Burial mounds are certainly the most common features, with the tumuli or kurgans of the Early Iron Age (roughly 9th–2nd century BC) as the best-known examples. Our detailed site plans, combined with the resulting database, enable us to study the internal layout of the burial complexes and their geographical distribution. There are clear variations, sometimes linked with different research areas (higher valleys as opposed to lower areas, etc.). The paper will highlight several of these aspects.An on-going Altay Mountains Survey Project at Ghent University in Belgium studies the archaeological landscape of the Altay Mountains since 2003. The project is directed by Prof. Dr. Jean Bourgeois and dr. Wouter Gheyle, and is done in cooperation with the Department of Geography (Prof. Dr. Rudi Goossens and Prof. Dr. Alain De Wulf). At the time of the Tumulistanbul meeting, six archaeological survey campaigns were executed to gather field data. This yielded a voluminous database with information about 12,047 archaeological structures.3 Burial mounds are certainly the most common features, with the tumuli or kurgans of the Early Iron Age (roughly 9th–2nd century BC) as the best-known examples. Our detailed site plans, combined with the resulting database, enable us to study the internal layout of the burial complexes and their geographical distribution. There are clear variations, sometimes linked with different research areas (higher valleys as opposed to lower areas, etc.). The paper will highlight several of these aspects.B
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