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See detailCombined use of bacteriocin-producing strains to control Listeria monocytogenes regrowth in raw pork meat.
Kouakou, P.; Ghalfi, H.; Dortu, C. et al

in International Journal of Food Science & Technology (2010), 45

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See detailCombined use of Bispectral Index (TM) and A-Line (TM) Autoregressive Index (TM) to assess anti-nociceptive component of balanced anaesthesia during lumbar arthrodesis
Bonhomme, Vincent ULg; Llabres, V.; Dewandre, Pierre-Yves et al

in British Journal of Anaesthesia (2006), 96(3), 353-360

BACKGROUND: This study evaluated the A-Line Autoregressive Index (AAI) response to surgical stimulation during lumbar arthrodesis, as an estimate of the anti-nociceptive component of a Bispectral Index ... [more ▼]

BACKGROUND: This study evaluated the A-Line Autoregressive Index (AAI) response to surgical stimulation during lumbar arthrodesis, as an estimate of the anti-nociceptive component of a Bispectral Index (BIS) guided anaesthesia combined with epidural analgesia. METHODS: An epidural catheter was inserted in 23 patients allocated randomly to receive ropivacaine plus clonidine (Group R) or normal saline (Group S) epidurally. General anaesthesia was induced with propofol, cis-atracurium and a remifentanil infusion that was stopped 3 min after tracheal intubation, and maintained using sevoflurane to keep BIS at 50 (range 40-60). Mean arterial pressure, heart rate, end-tidal sevoflurane, BIS and AAI were analysed from 2 min before to 17 min after surgical incision. RESULTS: While BIS was maintained at 50, AAI significantly increased from a 2 min averaged value of 12 (4) to 21 (7) in Group S within the first 5 min after surgical incision, but did not change in Group R. Maximum AAI values reached during the study period were significantly higher in Group S than in Group R [38 (12) and 27 (10), respectively]. Binary logistic regression analysis allowed the calculation of AAI threshold values above which the probability of predominant nociception over anti-nociception was higher than 95%. At 1 MAC sevoflurane concentration, a 2 min averaged AAI of 35 or an AAI peak value of 62 were associated with such a probability. CONCLUSIONS: During a BIS-guided constant level of hypnosis, AAI response to the onset of surgical stimulation significantly differs according to the analgesic regimen. Further studies are needed to refine the estimation of sensitivity and specificity of this variable in assessing the balance between nociception and anti-nociception during general anaesthesia. [less ▲]

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See detailCombined utilization of DGTs and bioindicators to trace chemical contamination threats on coastal ecosystems
Richir, Jonathan ULg; Luy, Nicolas; Serpe, Pierre et al

Conference (2011, May 03)

Trace metal monitoring in marine organisms and their living habitats permit to trace chronic or acute contaminations of marine ecosystems due to human activities. While dissolved trace metal ... [more ▼]

Trace metal monitoring in marine organisms and their living habitats permit to trace chronic or acute contaminations of marine ecosystems due to human activities. While dissolved trace metal concentrations give us an overall and punctual view over biota contamination status, bioindicator species put their bioavailable and possible toxic fraction in an obvious. However, difficulties mainly inherent to metal measurements in seawater lead field ecotoxicologists to study marine pollution essentially through the use of bioindicators alone. The technique of diffusive gradients in thin films (DGT) for the measurement of trace metals in aqueous solutions was introduced in the mid-ninetieth by Davison and Zhang. This passive probe accumulates labile trace metal species in proportion to their bulk environmental concentrations by maintaining a negative gradient between the environment and an ion-exchange resin (Chelex). DGTs average natural water trace metal concentrations over the deployment period, concentrate them and avoid matrix interferences, notably due to dissolved salts in seawater. Their deployment in passive and experimental monitoring studies permits to reliably measure labile trace metal concentrations and, jointly analysed with bioindicators, to estimate their bioavailability to marine organisms. This combined approach DGT-bioindicator was investigated in Calvi Bay (Corsica) through three monitoring studies. (1) DGTs were deployed in Posidonia oceanica bed, a Mediterranean seagrass forming dense meadows from the surface down to 40 meters depth, to study seasonal, spatial and bathymetrical variations of labile trace metal concentrations within this meadow. These concentrations were analysed jointly with Posidonia trace metal contents in order to quantify their bioaccumulation towards this primary producer, taking into account the seagrass biological cycle. (2) Portions of Posidonia meadow were also in situ experimentally contaminated with a mix of dissolved metals to study seagrass kinetics of pollutant accumulation and decontamination. Thanks to DGTs deployed inside contaminated mesocosms throughout experiments, Posidonia responses to known metal concentrations could be precisely quantified. (3) The blue mussel Mytilus galloprovincialis is widely used in trace metal monitoring programs. Mussels, stored in conchylicultural pouches, were transplanted for 3 months in contrasted stations of Calvi Bay (e.g. aquaculture farm, sewer, etc.) in parallel with DGTs. Such as for Posidonia, the complementary utilization of DGTs and mussels permitted to describe water contamination levels at the scale of the Bay, and their bioaccumulation towards mussels. These 3 studies demonstrate the usefulness of DGTs to monitor labile trace metals in an ecological and ecosystemic approach, in parallel with marine organisms, both indicators furnishing different and complementary informations about ecosystem functioning. [less ▲]

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See detailCombiner les mesures métaboliques cérébrales et neuropsychologiques permet une meilleure prédiction de la conversion vers une maladie d’Alzheimer chez les patients MCI
Bastin, Christine ULg; Adam, Stéphane ULg; LEKEU, Françoise ULg et al

in Revue Neurologique (2009), 165

Introduction. Une voie de recherche neurologique importante concerne la capacité de prédire sur base de l’évaluation initiale des patients avec Mild Cognitive Impairment (MCI) ceux qui vont développer une ... [more ▼]

Introduction. Une voie de recherche neurologique importante concerne la capacité de prédire sur base de l’évaluation initiale des patients avec Mild Cognitive Impairment (MCI) ceux qui vont développer une maladie d’Alzheimer (MA). Parmi les tests neuropsychologiques, le rappel indicé avec indiçage congruent lors de l’encodage et du rappel (RI48) apparaît comme le meilleur prédicteur du devenir des patients MCI (Ivanoiu et al., 2005). D’autre part, on a montré que les mesures métaboliques cérébrales (TEP-FDG), plus particulièrement l’hypométabolisme du cortex temporopariétal, prédit le déclin cognitif global dans le MCI mieux que des mesures neuropsychologiques (Chételat et al., 2005). Le but de notre étude était d’évaluer le pouvoir de prédiction pour la conversion du MCI vers une MA de deux prédicteurs robustes (performance au RI48 et métabolisme cérébral) pris soit isolément soit ensemble. Méthode. 50 patients MCI ont subi un examen en TEP-FDG au repos et ont réalisé le test de rappel indicé RI48 et le MMSE. Au terme d’un suivi neuropsychologique de 36 mois, 28 patients ont évolué vers une MA et 22 sont restés stables. Le métabolisme cérébral et les performances cognitives ont été comparés entre « convertisseurs » et MCI-stables. Des analyses discriminantes ont ensuite permis d’évaluer la capacité de classification de l’âge, du MMSE et des mesures métaboliques et mnésiques considérés individuellement ou selon diverses combinaisons. Résultat. Par comparaison avec les MCI-stables, les « convertisseurs » montraient un hypométabolisme du cortex temporal moyen bilatéralement, du cortex pariétal inférieur droit et du précuneus droit, et de plus faibles performances initiales au RI48. Prises individuellement, les différentes mesures permettaient le même taux de classification correcte (métabolisme cérébral = 76%, RI48 = 76%). L’âge et le MMSE étaient de faibles prédicteurs (exactitude de classification = 62% et 66% respectivement). Par contre, la combinaison des mesures métaboliques et des scores au RI48 prédisaient le mieux la progression vers la MA (88%). Conclusion. Les résultats suggèrent que la stratégie optimale pour identifier quels patients MCI ont plus de risque de développer une MA est de combiner les mesures métaboliques cérébrales et la performance à un test de mémoire très sensible. [less ▲]

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See detailCombiner sport et études. Comment cela est-il vécu ?
Cloes, Marc ULg

Scientific conference (2004, October 16)

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See detailCombining a stability and a performance-oriented control in power systems
Glavic, M.; Ernst, Damien ULg; Wehenkel, Louis ULg

in IEEE Transactions on Power Systems (2005), 20(1), 525-526

This paper suggests that the appropriate combination of a stability-oriented and a performance-oriented control technique is a promising way to implement advanced control schemes in power systems. The ... [more ▼]

This paper suggests that the appropriate combination of a stability-oriented and a performance-oriented control technique is a promising way to implement advanced control schemes in power systems. The particular approach considered combines control Lyapunov functions (CLF) and reinforcement learning. The capabilities of the resulting controller are illustrated on a control problem involving a thyristor-controlled series capacitor (TCSC) device for damping oscillations in a four-machine power system. [less ▲]

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See detailCombining Active Learning and Reactive Control for Robot Grasping
Kroemer, Oliver; Detry, Renaud ULg; Piater, Justus ULg et al

in Robotics and Autonomous Systems (2010)

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See detailCombining an original method for preserving RNA expression in situ with an effetive RNA method makes it possible to study gene expression in any banana fruit tissue.
Lassois, Ludivine ULg; de Lapeyre de Bellaire, Luc; Jijakli, Haissam ULg

in Fruits (2009), 64(3), 127-137

Introduction. RNA isolation is a prerequisite to studying gene expression in banana and to understanding changes occurring in response to the environment. Standard extraction methods do not efficiently ... [more ▼]

Introduction. RNA isolation is a prerequisite to studying gene expression in banana and to understanding changes occurring in response to the environment. Standard extraction methods do not efficiently extract RNA from plants such as banana, with high levels of phenolics, carbohydrates, or other compounds that bind to and/or coprecipitate with RNA. Materials and methods. Five to seven RNA extraction methods were compared. Four crowntissue storage methods were also compared. cDNA-AFLP was used to ensure that the obtained RNA was of sufficient quality for molecular applications and that RNA expression was unaltered by in situ storage. Results and discussion. The modified hot-borate method proved to be the best RNA extraction method, allowing high yields of good quality, undegraded RNA from the crown, fruit peel and pulp at all stages of ripening. The RNA obtained by this method was of sufficient quality for molecular applications such as cDNA-AFLP that give highly reproducible results. Freeze-drying of fresh tissues and tissue conservation in hot-borate buffer, two original storage methods, appear appropriate for preserving RNA in situ without ultra-low temperature. The RNA obtained was of high quality, undegraded, and useful for all downstream applications. The genome expression profile obtained by cDNA-AFLP analysis was unaltered by these methods for storing collected tissues. Conclusion. By applying all the suggested procedures in this work, it is possible to store and study gene expression in any banana fruit tissue, whatever the maturity stage, without affecting the RNA expression level. [less ▲]

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See detailCombining classification techniques with Kalman filters for aircraft engine diagnostics
Dewallef, Pierre ULg; Romessis, C.; Léonard, Olivier ULg et al

in Journal of Engineering for Gas Turbines & Power (2006), 128(2), 281-287

A diagnostic method consisting of a combination of Kalman filters and Bayesian Belief Network (BBN) is presented. A soft-constrained Kalman filter uses a priori information derived by a BBN at each time ... [more ▼]

A diagnostic method consisting of a combination of Kalman filters and Bayesian Belief Network (BBN) is presented. A soft-constrained Kalman filter uses a priori information derived by a BBN at each time step, to derive estimations of the unknown health parameters. The resulting algorithm hers improved identification capability in comparison to the stand-alone Kalman filter. The paper focuses on a way of combining the information produced by the BBN with the Kalman filter. An extensive set of fault cases is used to test the method on a typical civil turbofan layout. The effectiveness of the method is thus demonstrated, and its advantages over individual constituent methods are presented. [less ▲]

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See detailCombining classification techniques with Kalman filters for aircraft engine diagnostics
Dewallef, Pierre ULg; Léonard, Olivier ULg; Mathioudakis, Kostas et al

in Proceedings of the ASME Turbo Expo 2004 (2004, June)

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See detailCombining Color, Depth, and Motion for Video Segmentation
Leens, Jérôme ULg; Pierard, Sébastien ULg; Barnich, Olivier ULg et al

in Computer Vision Systems (2009, October)

This paper presents an innovative method to interpret the content of a video scene using a depth camera. Cameras that provide distance instead of color information are part of a promising young technology ... [more ▼]

This paper presents an innovative method to interpret the content of a video scene using a depth camera. Cameras that provide distance instead of color information are part of a promising young technology but they come with many diff culties: noisy signals, small resolution, and ambiguities, to cite a few. By taking advantage of the robustness to noise of a recent background subtraction algorithm, our method is able to extract useful information from the depth signals. We further enhance the robustness of the algorithm by combining this information with that of an RGB camera. In our experiments, we demonstrate this increased robustness and conclude by showing a practical example of an immersive application taking advantage of our algorithm. [less ▲]

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See detailCombining Coronagraphy with Interferometry as a Tool for Measuring Stellar Diameters
Riaud, P.; Hanot, Charles ULg

in Astrophysical Journal (2010)

The classical approach for determining stellar angular diameters is to use interferometry and to measure fringe visibilities. Indeed, in the case of a source having a diameter larger than typically λ/6B ... [more ▼]

The classical approach for determining stellar angular diameters is to use interferometry and to measure fringe visibilities. Indeed, in the case of a source having a diameter larger than typically λ/6B, B being the interferometer's baseline and λ the wavelength of observation, the fringe contrast decreases. Similarly, it is possible to perform angular diameter determinations by measuring the stellar leakage from a coronagraphic device or a nulling interferometer. However, all coronagraphic devices (including those using nulling interferometry) are very sensitive to pointing errors and to the size of the source, two factors with significant impact on the rejection efficiency. In this work, we present an innovative idea for measuring stellar diameter variations, combining coronagraphy together with interferometry. We demonstrate that, using coronagraphic nulling statistics, it is possible to measure such variations for angular diameters down to ≈λ/40B with 1σ error-bars as low as ≈λ/1500B. For that purpose, we use a coronagraphic implementation on a two-aperture interferometer, a configuration that significantly increases the precision of stellar diameter measurements. Such a design offers large possibilities regarding the stellar diameter measurement of Cepheids or Mira stars, at a 60-80 μas level. We report on a simulation of a measurement applied to a typical Cepheid case, using the VLTI-UT interferometer on Paranal. [less ▲]

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See detailCombining Feed, Food and Non-Food Uses of Lupin for Sustainability
Froidmont, E.; Delcarte, J.; Wathelet, Jean-Paul ULg et al

in III International Scientific Symposium "Farm Machinery and Process Management in Sustainable Agriculture (2008)

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See detailCombining Full Transients and Phasor Approximation Models in Power System Time Simulation
Plumier, Frédéric ULg; Fabozzi, Davide ULg; Geuzaine, Christophe ULg et al

in Proceedings of the 21th International Conference on Domain Decomposition Methods (DD21) (2012, June)

Detailed reference viewed: 120 (27 ULg)