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Peer Reviewed
See detailPredegenerated Nerve Allografts Versus Fresh Nerve Allografts in Nerve Repair
Dubuisson, A. S.; Foidart-Dessalle, Marguerite ULg; Reznik, Michel ULg et al

in Experimental Neurology (1997), 148(1), 378-87

This study reevaluated the possibility of using predegenerated nerves as donor nerve allografts for nerve repair and compared the results of functional recovery to those obtained after standard, fresh ... [more ▼]

This study reevaluated the possibility of using predegenerated nerves as donor nerve allografts for nerve repair and compared the results of functional recovery to those obtained after standard, fresh nerve allograft repair. Twenty donor rats underwent a ligature/ section of the left sciatic nerve 4 weeks before nerve graft harvesting. Forty recipient rats underwent severing of the left sciatic nerve leaving a 15-mm gap between the nerve stumps. Graft repair was undertaken using either the predegenerated left sciatic nerve of the 20 donor rats (predegenerated group, 20 recipient rats) or the normal right sciatic nerve of the 20 donor rats (fresh group, 20 recipient rats). Recovery of function was assessed by gait analysis, electrophysiologic testing and histologic studies. Walking tracks measurements at 2 and 3 months, electromyography parameters at 2 and 3 months, peroperative nerve conduction velocity and nerve action potential amplitude measurements at 3 months, as well as assessments of myelinated nerve fiber density and surface of myelination showed that fresh and predegenerated nerve grafts induced a comparable return of function although there was some trend in higher electrophysiologic values in the predegenerated group. The only slight but significant difference was a larger mean nerve fiber diameter in the nerve segment distal to a predegenerated nerve graft compared to a fresh nerve graft. Although our study does not show a dramatic long-term advantage for predegenerated nerve grafts compared to fresh nerve grafts, their use as prosthetic material is encouraging. [less ▲]

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See detailPreDetector : Prokaryotic Regulatory Element Detector
Hiard, Samuel ULg; Rigali, Sébastien ULg; Colson, Séverine ULg et al

Poster (2006, May 17)

PreDetector is a stand-alone software, written in java. Its final aim is to predict regulatory sites for prokaryotic species. It comprises two functionalities. The first one is very similar to Target ... [more ▼]

PreDetector is a stand-alone software, written in java. Its final aim is to predict regulatory sites for prokaryotic species. It comprises two functionalities. The first one is very similar to Target Explorer1. From a set of sequences identified as potential target sites, PreDetector creates a consensus sequence and computes its scoring matrix. This sequence and matrix can be saved on a file and, then, be used to find along a selected genome the sequences that are close enough to the consensus sequence. To this end, a score is attributed to each locus in the genome according to the similarity measure defined by the matrix. The output of this functionality is filtered with a cut-off score and then directly used as input by the second one. The second functionality starts by fetching the gene positions of the selected species from the NCBI server. The loci having above cut-off score are then classified into four classes, allowing multiple classes for one element. This gives the biologists a better view of his discovered sequences. [less ▲]

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See detailPREDetector : Prokaryotic Regulatory Element Detector
Hiard, Samuel ULg; Rigali, Sébastien ULg; Colson, Séverine ULg et al

Poster (2007, February 15)

Background: In the post-genomic area, in silico predictions of regulatory networks are considered as a powerful approach to decipher and understand biological pathways within prokaryotic cells. The ... [more ▼]

Background: In the post-genomic area, in silico predictions of regulatory networks are considered as a powerful approach to decipher and understand biological pathways within prokaryotic cells. The emergence of position weight matrices based programs has facilitated the access to this approach. However, a tool that automatically estimates the reliability of the predictions and would allow users to extend predictions in genomic regions generally regarded with no regulatory functions was still highly demanded. Result: Here, we introduce PREDetector, a tool developed for predicting regulons of DNA-binding proteins in prokaryotic genomes that (i) automatically predicts, scores and positions potential binding sites and their respective target genes, (ii) includes the downstream co-regulated genes, (iii) extends the predictions to coding sequences and terminator regions, (iv) saves private matrices and allows predictions in other genomes, and (v) provides an easy way to estimate the reliability of the predictions. Conclusion: We present, with PREDetector, an accurate prokaryotic regulon prediction tool that maximally answers biologists’ requests. PREDetector can be downloaded freely at http://www.montefiore.ulg.ac.be/~hiard/predetectorfr.html [less ▲]

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See detailPREDetector : Prokaryotic Regulatory Element Detector
Hiard, Samuel ULg; Rigali, Sébastien ULg; Colson, Séverine ULg et al

Poster (2007, November 12)

Background: In the post-genomic area, in silico predictions of regulatory networks are considered as a powerful approach to decipher and understand biological pathways within prokaryotic cells. The ... [more ▼]

Background: In the post-genomic area, in silico predictions of regulatory networks are considered as a powerful approach to decipher and understand biological pathways within prokaryotic cells. The emergence of position weight matrices based programs has facilitated the access to this approach. However, a tool that automatically estimates the reliability of the predictions and would allow users to extend predictions in genomic regions generally regarded with no regulatory functions was still highly demanded. Result: Here, we introduce PREDetector, a tool developed for predicting regulons of DNA-binding proteins in prokaryotic genomes that (i) automatically predicts, scores and positions potential binding sites and their respective target genes, (ii) includes the downstream co-regulated genes, (iii) extends the predictions to coding sequences and terminator regions, (iv) saves private matrices and allows predictions in other genomes, and (v) provides an easy way to estimate the reliability of the predictions. Conclusion: We present, with PREDetector, an accurate prokaryotic regulon prediction tool that maximally answers biologists’ requests. PREDetector can be downloaded freely at http://www.montefiore.ulg.ac.be/~hiard/predetectorfr.html [less ▲]

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Peer Reviewed
See detailPREDetector: A new tool to identify regulatory elements in bacterial genomes
Hiard, Samuel ULg; Marée, Raphaël ULg; Colson, Séverine ULg et al

in Biochemical and Biophysical Research Communications (2007), 357(4), 861-864

In the post-genomic area, the prediction of transcription factor regulons by position weight matrix-based programmes is a powerful approach to decipher biological pathways and to modelize regulatory ... [more ▼]

In the post-genomic area, the prediction of transcription factor regulons by position weight matrix-based programmes is a powerful approach to decipher biological pathways and to modelize regulatory networks in bacteria. The main difficulty once a regulon prediction is available is to estimate its reliability prior to start expensive experimental validations and therefore trying to find a way how to identify true positive hits from an endless list of potential target genes of a regulatory protein. Here we introduce PREDetector (Prokaryotic Regulatory Elements Detector), a tool developed for predicting regulons of DNA-binding proteins in bacterial genomes that, beside the automatic prediction, scoring and positioning of potential binding sites and their respective target genes in annotated bacterial genomes, it also provides an easy way to estimate the thresholds where to find reliable possible new target genes. PREDetector can be downloaded freely at http://www.montefiore.ulg.ac.be/-hiard/PreDetector (c) 2007 Published by Elsevier Inc. [less ▲]

Detailed reference viewed: 87 (31 ULg)
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See detailLa prédication non verbale en égyptien ancien
Winand, Jean ULg

in Faits de Langues (2006), (27), 73-102

Detailed reference viewed: 55 (2 ULg)
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Peer Reviewed
See detailPredicative Constituents
Denizot, Camille ULg

in Giannakis, Georgios K. (Ed.) Encyclopedia of Ancient Greek Language and Linguistics (2013)

Detailed reference viewed: 21 (1 ULg)
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See detailPredicative Possession in Late Egyptian (with special attention to incipient grammaticalization processes)
Polis, Stéphane ULg

Conference (2014, February)

In this talk, I provide a description of the various types of constructions used for expressing clausal (‘predicative’) possession in Late Egyptian. The corpus is comprehensively defined to include both ... [more ▼]

In this talk, I provide a description of the various types of constructions used for expressing clausal (‘predicative’) possession in Late Egyptian. The corpus is comprehensively defined to include both literary and non-literary texts from the reign of Thutmose 3 (c. 1450 BC) down to abnormal hieratic texts (c. 600 BC), excluding most of the texts in Égyptien de tradition (i.e. purposely imitating various registers of EEg). The talk is structured in three sections that reflect both functional and structural features: (1) The adjectival predicate pattern or the marked expression of ownership; (2) The comitative strategy or the unmarked expression of possession; (3) Other types of predicative possession in Late Egyptian. [less ▲]

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See detailPredictable disruption tolerant networks and delivery guarantees
François, Jean-Marc; Leduc, Guy ULg

Report (2006)

This article studies disruption tolerant networks (DTNs) where each node knows the probabilistic distribution of contacts with other nodes. It proposes a framework that allows one to formalize the ... [more ▼]

This article studies disruption tolerant networks (DTNs) where each node knows the probabilistic distribution of contacts with other nodes. It proposes a framework that allows one to formalize the behaviour of such a network. It generalizes extreme cases that have been studied before where (a) either nodes only know their contact frequency with each other or (b) they have a perfect knowledge of who meets who and when. This paper then gives an example of how this framework can be used; it shows how one can find a packet forwarding algorithm optimized to meet the 'delay/bandwidth consumption' trade-off: packets are duplicated so as to (statistically) guarantee a given delay or delivery probability, but not too much so as to reduce the bandwidth, energy, and memory consumption. [less ▲]

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Peer Reviewed
See detailPredictieve risicofactoren voor lage rugpijn bij jonge werknemers : de BELCOBACK-studie
Van Nieuwenhuyse, A.; Somville, Pierre-René ULg; Johannik, K. et al

in Tijdschrift voor bedrijfs- en verzekeringsgeneeskunde (2006), 14(4), 155-160

Detailed reference viewed: 47 (5 ULg)
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Peer Reviewed
See detailPredicting alpha diversity of African rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial model
Parmentier, Ingrid; Harrigan, Ryan J.; Buermann, Wolfgang et al

in Journal of Biogeography (2011), 38(6), 1164-1176

Aim Our aim was to evaluate the extent to which we can predict and map tree alpha diversity across broad spatial scales either by using climate and remote sensing data or by exploiting spatial ... [more ▼]

Aim Our aim was to evaluate the extent to which we can predict and map tree alpha diversity across broad spatial scales either by using climate and remote sensing data or by exploiting spatial autocorrelation patterns. Location Tropical rain forest, West Africa and Atlantic Central Africa. Methods Alpha diversity estimates were compiled for trees with diameter at breast height ‡ 10 cm in 573 inventory plots. Linear regression (ordinary least squares, OLS) and random forest (RF) statistical techniques were used to project alpha diversity estimates at unsampled locations using climate data and remote sensing data [Moderate Resolution Imaging Spectroradiometer (MODIS), normalized difference vegetation index (NDVI), Quick Scatterometer (QSCAT), tree cover, elevation]. The prediction reliabilities of OLS and RF models were evaluated using a novel approach and compared to that of a kriging model based on geographic location alone. Results The predictive power of the kriging model was comparable to that of OLS and RF models based on climatic and remote sensing data. The three models provided congruent predictions of alpha diversity in well-sampled areas but not in poorly inventoried locations. The reliability of the predictions of all three models declined markedly with distance from points with inventory data, becoming very low at distances > 50 km. According to inventory data, Atlantic Central African forests display a higher mean alpha diversity than do West African forests. Main conclusions The lower tree alpha diversity in West Africa than in Atlantic Central Africa may reflect a richer regional species pool in the latter. Our results emphasize and illustrate the need to test model predictions in a spatially explicit manner. Good OLS or RF model predictions from inventory data at short distance largely result from the strong spatial autocorrelation displayed by both the alpha diversity and the predictive variables rather than necessarily from causal relationships. Our results suggest that alpha diversity is driven by history rather than by the contemporary environment. Given the low predictive power of models, we call for a major effort to broaden the geographical extent and intensity of forest assessments to expand our knowledge of African rain forest diversity. [less ▲]

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See detailPredicting bovine milk urea concentration for future test-day records in a management perspective
Bastin, Catherine ULg; Laloux, Laurent; Bertozzi, Carlo et al

Conference (2008, April 02)

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Peer Reviewed
See detailPredicting bovine milk urea concentration for future test-day records in a management perspective
Bastin, Catherine ULg; Laloux, Laurent; Bertozzi, Carlo et al

in Proceedings of the British Society of Animal Science (2008)

Detailed reference viewed: 31 (13 ULg)
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See detailPredicting default probability and the default recovery ratio: evidence from the Lebanese external public debt
El Khoury, Ghada ULg; Colmant, Bruno; Corhay, Albert ULg

in International Research Journal, "Banks and Bank Systems" (2009), 4(2),

With a national debt exceeding 190% of the GDP at the end of 2006, the Lebanese government is in a difficult situation. The literature on emerging markets reveals the various causes that might lead to a ... [more ▼]

With a national debt exceeding 190% of the GDP at the end of 2006, the Lebanese government is in a difficult situation. The literature on emerging markets reveals the various causes that might lead to a default on their public debt. The first objective of this paper is to analyze the evolution of the credit spread for the Lebanese US Dollar Eurobonds. The second objective is to extract both the implied default recovery ratio and the risk neutral default probability term structure for the Lebanese US dollar Eurobonds between October 2001 and November 2004. Our results show that the recovery ratio is strongly related to the market reaction linked to political and economic tension within Lebanon. For the period after the Paris II conference in November 2002, the average estimates show a decline in the default probability for the long-term period accompanied by an increase in the default recovery ratio. [less ▲]

Detailed reference viewed: 167 (49 ULg)
Peer Reviewed
See detailPredicting difficulty in PISA reading items : the process of describing item difficulty
Lumley, T.; Mendelovits, J.; Searle, D. et al

Conference (2010, April)

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Peer Reviewed
See detailPredicting Energy Balance Status of Holstein cows using Mid-Infrared Spectral data
Mc Parland, Sinead; Banos, Georgios; Wall, Eileen et al

in Proceedings of the 9th World Congress on Genetics Applied to Livestock Production (2010)

Detailed reference viewed: 23 (4 ULg)
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See detailPredicting Energy Balance Status of Holstein cows using Mid-Infrared Spectral data
Mc Parland, Sinead; Banos, Georgios; Wall, Eileen et al

Conference (2010, August)

Detailed reference viewed: 30 (7 ULg)