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See detailCaractérisation des viandes bovines à très longue durée de conservation sous vide
Didimo Imazaki, Pedro Henrique ULg; Nezer, Carine ULg; Taminiau, Bernard ULg et al

Poster (2011, December 09)

Le but de cette étude a été d’évaluer la conservabilité de viandes bovines de différentes origines (Royaume-Uni et Irlande, Australie et Brésil) et l’influence sur celle-ci de la température de ... [more ▼]

Le but de cette étude a été d’évaluer la conservabilité de viandes bovines de différentes origines (Royaume-Uni et Irlande, Australie et Brésil) et l’influence sur celle-ci de la température de conservation (1 °C vs. +4 °C). Des paramètres physico-chimiques (pH, couleur, proportion des différentes formes redox de la myoglobine (FRMb), indice TBARS et acides organiques) et microbiologiques (flore aérobie totale, flore lactique, Enterobacteriaceae, Pseudomonas spp. et Brochothrix thermosphacta) ont été mesurés sur sept lots de contre-filet conditionnés sous vide : aux ⅔ de la DLC et à la fin de la DLC. La diversité bactérienne a été évaluée par galeries API50 CHL et par métagénomique. Le pH a diminué au cours de la conservation dans deux lots. La couleur et la proportion des FRMb sont restées stables. Une augmentation de l’indice TBARS, plus prononcée à +4 °C, a été observée. Les viandes australiennes et brésilienne ont présenté des taux en acides acétique et citrique plus élevés. Tous les lots conservés à 1 °C ont présenté une qualité microbiologique satisfaisante à la fin de leur DLC (viandes britanniques et irlandaises = 35 ~ 45 jours; australiennes = 140 jours et brésilienne = 120 jours). La conservation à +4 °C a favorisé la croissance d’entérobactéries, facteur limitant de la conservation de plusieurs lots. L’identification bactérienne a révélé la présence de bactéries connues pour leur effet bioprotecteur. La phase ultérieure de ce travail consistera à étudier la dynamique de la flore microbienne endogène en fonction des conditions environnementales appliquées (température, atmosphère). [less ▲]

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See detailPsychrotrophic and psychrophylic Clostridium responsible for meat spoilage
Rodrigues, A.; Daube, Georges ULg

Poster (2011, December 09)

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See detailRetrospective analysis of a Listeria monocytogenes contamination episode of cheese made from raw goat’s milk using quantitative microbial risk assessment
Delhalle, Laurent; Ellouze, M.; Yde, M. et al

Poster (2011, December 09)

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See detailClostridium difficile in farm and slaughterhouse animals: prevalence and typing
Rodriguez Diaz, Cristina ULg; Taminiau, Bernard ULg; van Broeck, Johan et al

Scientific conference (2011, December 09)

Clostridium difficile is an anaerobic gram-positive spore-forming bacillus identified as a severe pathogenic agent in animals and humans. Its recent isolation in foods opens up the occurrence of ... [more ▼]

Clostridium difficile is an anaerobic gram-positive spore-forming bacillus identified as a severe pathogenic agent in animals and humans. Its recent isolation in foods opens up the occurrence of alimentary origin infections. The objective of the study is to establish if there is a reservoir of bacteria in animals engaged to human feed and consequent true risk of transmission to humans through the food chain. A total of 437 fecal samples were analyzed. Stools (202 from beef and 194 from pigs) were collected at the slaughterhouse and from breeding farms (18 from calves and 23 from piglets). Enrichment culture was carried out using a cycloserine cefoxitin fructose taurocholate broth. Isolates were identified by PCR detection of tpi, tcdA, tcdB and cdtA genes. Toxic activity was confirmed by a fecal cytotoxin inmmunoessay. Further characterization was performed by PCR ribotyping. Clostridium difficile was cultured from 8% (35/437) of the total samples: 14 from beef at slaughterhouse (6,9%), 17 from piglets (73,9%) and 4 from calves (22,2%) at breeding farms. Thirty-two of the total strains were toxin positive. Sixteen different PCR ribotypes were identified with type 078 predominant in breeding farms of calves (75%) and pigs (64,7%). Isolates from beef presented widest range in ribotypical variety. Present study proves the presence of Clostridium difficile in animals engaged to food in Belgium. The presence of the bacteria at the slaughterhouse and the high prevalence of pathogenic strains states a true risk of contamination to humans through the food chain. [less ▲]

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See detailKnowledge and its value
Janvier, Antoine ULg; Leclercq, Bruno ULg

Conference (2011, December 09)

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See detailEquivariant quantization in supergeometry
Radoux, Fabian ULg

Scientific conference (2011, December 08)

Detailed reference viewed: 19 (8 ULg)
See detailEtude sur les pratiques de formation des "nouveaux entrants" au sein du secteur Agoria
Remy, Céline ULg

Conference (2011, December 08)

Detailed reference viewed: 15 (1 ULg)
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See detailLe projet de recherches SAFE
Marique, Anne-Françoise ULg; De Meester, Tatiana; De Herde, André et al

Poster (2011, December 08)

Detailed reference viewed: 37 (10 ULg)
See detailLong-term biogeochemical impacts of liming the ocean
Ilyina, Tatiana; Wolf-Gladrow, Dieter; Munhoven, Guy ULg et al

Conference (2011, December 08)

Fossil fuel CO2 emissions result in large-scale long-term perturbations in seawater chemistry. Oceans take up atmospheric CO2, and several geo-engineering approaches have been suggested to mitigate ... [more ▼]

Fossil fuel CO2 emissions result in large-scale long-term perturbations in seawater chemistry. Oceans take up atmospheric CO2, and several geo-engineering approaches have been suggested to mitigate impacts of CO2 emissions and resulting ocean acidification that are based on this property. One of them is to enhance weathering processes to remove atmospheric CO2. This method involves dissolving rocks (i.e. limestone) or adding strong bases (i.e. calcium hydroxide) in the upper ocean and is termed as liming the oceans. The net effect of this approach is to increase ocean alkalinity, thereby increasing the oceanic capacity to store anthropogenic CO2. Another effect of adding alkalinity would be to drive seawater to higher pH values and thus counteract the ongoing ocean acidification. However, whereas adding bases only alter alkalinity of seawater, dissolution of carbonates perturb both, alkalinity and dissolved inorganic carbon budgets. Thus, on longer time scales, these two methods will likely have different biogeochemical effects in the ocean. Here we test enduring implications of the two approaches for marine carbon cycle using the global ocean biogeochemical model HAMOCC. In our model scenarios we add alkalinity in the amounts proportional to fossil fuel emissions. We compare the longterm effectiveness of the two geo-engineering approaches to decrease atmospheric CO2. [less ▲]

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See detailThe secrets of the Kinect ... in depth!
Lejeune, Antoine ULg; Van Droogenbroeck, Marc ULg; Verly, Jacques ULg

Conference (2011, December 08)

The slides present the Kinect in depth. The major technological ideas are explained. In addition, the presentation gives an overview of all the libraries available to interface to the Kinect.

Detailed reference viewed: 337 (14 ULg)
See detailTable ronde autour de "La matrice de la race" (E. Dorlin)
Pieret, Denis ULg

Scientific conference (2011, December 08)

Detailed reference viewed: 14 (0 ULg)
See detailComment: Global virtues, EU vices? European economic and social governance in a post-crisis atmosphere
Van Cleynenbreugel, Pieter ULg

Scientific conference (2011, December 08)

I commented on panelists' presentations on the viability of the EU's economic and social integration approaches in the wake of crisis.

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Peer Reviewed
See detailDecentralized Prediction of End-to-End Network Performance Classes
Liao, Yongjun ULg; Du, Wei; Geurts, Pierre ULg et al

in Proc. of the 7th International Conference on emerging Networking EXperiments and Technologies (CoNEXT) (2011, December 08)

In large-scale networks, full-mesh active probing of end-to-end performance metrics is infeasible. Measuring a small set of pairs and predicting the others is more scalable. Under this framework, we ... [more ▼]

In large-scale networks, full-mesh active probing of end-to-end performance metrics is infeasible. Measuring a small set of pairs and predicting the others is more scalable. Under this framework, we formulate the prediction problem as matrix completion, whereby unknown entries of an incomplete matrix of pairwise measurements are to be predicted. This problem can be solved by matrix factorization because performance matrices have a low rank, thanks to the correlations among measurements. Moreover, its resolution can be fully decentralized without actually building matrices nor relying on special landmarks or central servers. In this paper we demonstrate that this approach is also applicable when the performance values are not measured exactly, but are only known to belong to one among some predefined performance classes, such as "good" and "bad". Such classification-based formulation not only fulfills the requirements of many Internet applications but also reduces the measurement cost and enables a unified treatment of various performance metrics. We propose a decentralized approach based on Stochastic Gradient Descent to solve this class-based matrix completion problem. Experiments on various datasets, relative to two kinds of metrics, show the accuracy of the approach, its robustness against erroneous measurements and its usability on peer selection. [less ▲]

Detailed reference viewed: 212 (20 ULg)