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See detailQuality characteristics and oxydative stability of date seed oil during storage.
Besbes, Souhail; Blecker, Christophe ULg; Deroanne, Claude et al

in Food Science & Technology International (2004), 10(5), 333-338

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See detailL’héritage et l’archive
Badir, Sémir ULg; Baetens, Jan

in Protée (2004), 32(2), 5-8

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See detailRecovering missing data in satellite images. An application to adriatic sst and comparison with in situ data
Alvera Azcarate, Aïda ULg; Barth, Alexander ULg; Rixen, M. et al

Conference (2004)

Satellite images are very useful for many applications in oceanography and other environmental sciences. They offer a great coverage both in time and space, not attained by in situ measurements. Clouds ... [more ▼]

Satellite images are very useful for many applications in oceanography and other environmental sciences. They offer a great coverage both in time and space, not attained by in situ measurements. Clouds are responsible for missing data on images provided by receptors working in the visible and IR range receptors. In some seasons the cloud coverage can reach an important percentage. Many data analysis techniques do not need a total coverage, although it is always desirable. Some applications, such as Empirical Orthogonal Function (EOF) analysis, or wavelet decomposition need a complete set of data, and a technique for recovering these missing data is indispensable. In this work we present DINEOF (Data INterpolating Empirical Orthogonal Functions), a method for the reconstruction of satellite data, based on an EOF decomposition. DINEOF reconstructs the missing data from an optimal set of EOFs. The optimal number of EOFs is determined by cross-validation. This method has shown to obtain robust results. DINEOF has been applied to a series of 105 AVHRR SST images of the Adriatic Sea, in a period ranging from May to October 1995. The mean cloud coverage of this data set is 52%. The error obtained by the cross-validation is of 0.6°C, and a total of 10 EOFs were necessary to reconstruct the data. A comparison with in situ data obtained form the MEDAR/Medatlas database is made. A total of 452 stations are examined. The RMS error between MEDAR/Medatlas and the reconstructed data is of 0.95°C. The error between MEDAR/Medatlas data and the points that are not missing in the Adriatic data set is of 0.67°C, which can be considered as the inherent error between the in situ and remote sensed data sets. [less ▲]

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See detailStructure of liquid Te-based alloys used in rewritable DVDs
Delheusy, M.; Raty, Jean-Yves ULg; Detemple, R. et al

in Physica B: Condensed Matter (2004), 350(1-3 SUPPL. 1), 1055-1057

We analyze the structure of Te-based chalcogenide compounds that are used as materials for rewritable DVDs by using a combination of neutron diffraction and ab initio computer simulation. We show that in ... [more ▼]

We analyze the structure of Te-based chalcogenide compounds that are used as materials for rewritable DVDs by using a combination of neutron diffraction and ab initio computer simulation. We show that in the liquid, the atoms have a low average coordination number, as the result of a Peierls distortion. The partial pair correlation functions are obtained from the computer simulation data. © 2004 Published by Elsevier B.V. [less ▲]

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See detailModernité littéraire et Terreur. Sartre et Foucault
Denis, Benoît ULg

Conference (2004)

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See detailMeasurement of dioxins and WHO PCBs in foodstuffs using GCxGC-IDTOFMs
Focant, Jean-François ULg; Pirard, Catherine ULg; Massart, Anne-Cécile ULg et al

in Organohalogen Compounds (2004), 66

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See detailStudy of the impact of satellite data assimilation into a hydrodynamical model of the ligurian sea. Comparison between sst fields and sst satellite-based predicted fields
Alvera Azcarate, Aïda ULg; Barth, Alexander ULg; Rixen, M. et al

Conference (2004)

The verification of a 3D hydrodynamic model of the Ligurian Sea is presented. Two assimilation experiments have been carried out with this model: the assimilation of real SST, and the assimilation of SST ... [more ▼]

The verification of a 3D hydrodynamic model of the Ligurian Sea is presented. Two assimilation experiments have been carried out with this model: the assimilation of real SST, and the assimilation of SST forecasted by a statistical predictor. The aim of the study is to establish the skill of the model in these two configurations. The assimilation of predicted SST can help to increase the model skill when observations are not available, and preliminary results show that both approaches obtained similar results. The verification is done in a multi-scale approach, by decomposing the model results and the observations into several spatial scales, using 2D discrete wavelet transforms. At each scale the error between the model and the observations is calculated, and the scales where the biggest errors occur can be identified. The variability distribution of the model and the observations is also examined at each scale, to study the impact of the assimilation on the model variability. This methodology provides a scale-dependent insight in the study of the assimilation of SST and predicted SST. The differences between both assimilated data and how these differences affect the model results are examined. [less ▲]

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See detailOutskirts Dynamics: towards Order or Chaos ?
Franzen, M.; Halleux, Jean-Marie ULg

in Franzen, M.; Halleux, Jean-Marie (Eds.) European Cities, Insight on Outskirts. Dynamics (2004)

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See detailFebrile convulsions: an update
Lagae, L.; Ceulemans, B.; Misson, Jean-Paul ULg

in Acta Neurologica Belgica (2004)

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See detailWhat is SkinChip? From silicon image sensor technology to SkinChip.
Pierard, Gérald ULg; Leveque, Jean-Luc

in Dermatology : International Journal for Clinical & Investigative Dermatology (2004), 208(4), 291-2

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See detail"Of, and not of, this Place": Attachment and Detachment in Caryl Phillips' A Distant Shore
Ledent, Bénédicte ULg

in Kunapipi : Journal of Postcolonial Writing (2004), 26(1), 152-160

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See detailApproaching the true prevalence of pituitary tumors
Beckers, Albert ULg; Ciccarelli, A.; Daly, Adrian ULg et al

in 12th International Congress of Endocrinology - Abstract book (2004)

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See detailQTL analysis of the expression of the low-gossypol seed and high gossypol plant trait in the progeny of the Gossypium hirsutum x G. raimondii x G. sturtanium trispecific hybrid
Benbouza, H.; Lacape, M.; Courtois, B. et al

in Proceedings of the Beltwide cotton improvement conference (2004)

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See detailFamilial isolated pituitary adenomas : epidemiological, clinical and genetic studies
Ciccarelli, A.; Valdes Socin, Hernan Gonzalo ULg; Jaffrain-Rea, M. L. et al

in 12th International Congress of Endocrinology - Abstract book (2004)

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See detailImpaired neuromuscular transmission and skeletal muscle fiber necrosis in mice lacking Na/Ca exchanger 3
Sokolow, S.; Manto, M.; Gailly, P. et al

in Journal of Clinical Investigation (2004), 113

We produced and analyzed mice deficient for Na/Ca exchanger 3 (NCX3), a protein that mediates cellular Ca(2+) efflux (forward mode) or Ca(2+) influx (reverse mode) and thus controls intracellular Ca(2 ... [more ▼]

We produced and analyzed mice deficient for Na/Ca exchanger 3 (NCX3), a protein that mediates cellular Ca(2+) efflux (forward mode) or Ca(2+) influx (reverse mode) and thus controls intracellular Ca(2+) concentration. NCX3-deficient mice (Ncx3(-/-)) present a skeletal muscle fiber necrosis and a defective neuromuscular transmission, reflecting the absence of NCX3 in the sarcolemma of the muscle fibers and at the neuromuscular junction. The defective neuromuscular transmission is characterized by the presence of electromyographic abnormalities, including low compound muscle action potential amplitude, a decremental response at low-frequency nerve stimulation, an incremental response, and a prominent postexercise facilitation at high-frequency nerve stimulation, as well as neuromuscular blocks. The analysis of quantal transmitter release in Ncx3(-/-) neuromuscular junctions revealed an important facilitation superimposed on the depression of synaptic responses and an elevated delayed release during high-frequency nerve stimulation. It is suggested that Ca(2+) entering nerve terminals is cleared relatively slowly in the absence of NCX3, thereby enhancing residual Ca(2+) and evoked and delayed quantal transmitter release during repetitive nerve stimulation. Our findings indicate that NCX3 plays an important role in vivo in the control of Ca(2+) concentrations in the skeletal muscle fibers and at the neuromuscular junction [less ▲]

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See detailLck dephosphorylation at Tyr-394 and inhibition of T cell antigen receptor signaling by Yersinia phosphatase YopH.
Alonso, Andres; Bottini, Nunzio; Bruckner, Shane et al

in Journal of Biological Chemistry (2004), 279(6), 4922-8

A key virulence factor for Yersinia pestis, the etiologic agent of plague, is the tyrosine phosphatase YopH, which the bacterium injects into host cells. We report that treatment of human T lymphocytes ... [more ▼]

A key virulence factor for Yersinia pestis, the etiologic agent of plague, is the tyrosine phosphatase YopH, which the bacterium injects into host cells. We report that treatment of human T lymphocytes with a recombinant membrane-permeable YopH resulted in severe reduction in intracellular tyrosine phosphorylation and inhibition of T cell activation. The primary signal transducer for the T cell antigen receptor, the Lck tyrosine kinase, was specifically precipitated by a substrate-trapping YopH mutant, and Lck was dephosphorylated at its positive regulatory site, Tyr-394, in cells containing active YopH. By turning off Lck, YopH blocks T cell antigen receptor signaling at its very first step, effectively preventing the development of a protective immune response against this lethal bacterium. [less ▲]

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See detailParticipation à la Conférence-débat sur les coopératives foncières agricoles
Burny, Philippe ULg

Conference given outside the academic context (2004)

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See detailAssimilation of Sea Surface Temperature predicted by a satellite-based forecasting system in a doubly nested primitive equation model of the Ligurian Sea
Barth, Alexander ULg; Alvera Azcarate, Aïda ULg; Alvarez, A. et al

Conference (2004)

Data assimilation is traditionally used to combine model dynamics and observations in a statistical optimal way. Assimilation of observations improves therefore hindcasts and nowcasts of the ocean state ... [more ▼]

Data assimilation is traditionally used to combine model dynamics and observations in a statistical optimal way. Assimilation of observations improves therefore hindcasts and nowcasts of the ocean state than otherwise obtained by the model alone. The observational constraints are necessary to reduce uncertainties and imperfections of the ocean model. Due to the obvious lack of future observations, the model forecast cannot be controlled by observations and the predictive skill degrades as the forecast time lag increases. The error grow is not only caused by the chaotic nature of the system but also by the biases and drifts of the model. The later part can be reduced by considering different models with different imperfections. Data assimilation provides the statistical frame for merging the different model results. A primitive equation model of the Mediterranean Sea (1/4° resolution) has been implemented with two successive grid refinements of the Liguro-Provençal Basin (1/20°) and the Ligurian Sea (1/60°) respectively (Barth et al, 2003). The dependence of the ``parent'' model and the embedded ``child'' model is bi-directional; it involves the exchange of boundary conditions and feedback between the models. Alvarez el al. (2004) developed a statistical predictor for forecasting the SST of the Ligurian Sea with a time lag of 7 days based on the previous remote sensed SST. The degrees of freedom of the SST are reduced by an Empirical Orthogonal Function (EOF) analysis. A genetic algorithm trained by the historical SST evolution in the Ligurian Sea is used to predict the EOF amplitudes. Observed and forecasted SST are assimilated in the hydrodynamic model and the results of this two experiments are compared to the model run without assimilation. The assimilation of the forecasted SST reduces the error of the model by an amount comparable to the assimilation of real SST, showing the potential of skill improvement of combining statistical and hydrodynamic models. [less ▲]

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See detailFunctional effects of restrictive pulmonary diseases
Art, Tatiana ULg; Lekeux, Pierre ULg

in Dunlop, R. H.; Malbert, C. H. (Eds.) Veterinary Pathophysiology (2004)

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