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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

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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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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)

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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 ▲]

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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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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)

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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

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

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See detailPredicting funds of hedge funds attrition through performance diagnostics
Cogneau, Philippe ULg; Debatty, Philippe; Hübner, Georges ULg

in Gregoriou, Greg (Ed.) Reconsidering Funds of Hedge Funds (2013)

The analysis of individual mutual funds survivorship reveals that a model based on the consideration of a wide class of performance measures can be a solid predictor of their disappearance. Given the ... [more ▼]

The analysis of individual mutual funds survivorship reveals that a model based on the consideration of a wide class of performance measures can be a solid predictor of their disappearance. Given the importance of performance fees, this phenomenon is likely to be all the more relevant for funds of hedge funds. In this analysis, we apply a diagnostics methodology to predict the disappearance of funds of hedge funds from databases, which we consider a sign of their attrition. Our research shows that prediction is also possible for these types of hedge funds, and even that the predictive ability of the model is stronger than for mutual funds. [less ▲]

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See detailPredicting galloping fatigue cycles in quad bundles.
Richardson, A. S.; Dubois, Hervé; Lilien, Jean-Louis ULg

in Proceedings of the CIGRE session 1990 (1990, August 28)

Galloping on power lines is approached by simulation. A particular attention is devoted to the twisting behaviour of the bundle under consideration. Loads on tower are also approached.

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See detailPredicting gene essentiality from expression patterns in Escherichia coli
Irrthum, Alexandre ULg; Wehenkel, Louis ULg

(2008)

Essential genes are genes whose loss of function causes lethal- ity. In the case of pathogen organisms, the identification of these genes is of considerable interest, as they provide targets for the ... [more ▼]

Essential genes are genes whose loss of function causes lethal- ity. In the case of pathogen organisms, the identification of these genes is of considerable interest, as they provide targets for the development of novel antibiotics. Computational analyses have revealed that the posi- tions of the encoded proteins in the protein-protein interaction network can help predict essentiality, but this type of data is not always avail- able. In this work, we investigate prediction of gene essentiality from expression data only, using a genome-wide compendium of expression patterns in the bacterium Escherichia coli, by using single decision trees and random forests. We first show that, based on the original expression measurements, it is possible to identify essential genes with good accu- racy. Next, we derive, for each gene, higher level features such as average, standard deviation and entropy of its expression pattern, as well as fea- tures related to the correlation of expression patterns between genes. We find that essentiality may actually be predicted based only on the two most relevant ones among these latter.We discuss the biological meaning of these observations. [less ▲]

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See detailPredicting Grain Protein Content of Winter Wheat
Mansouri, Majdi ULg; Dumont, Benjamin ULg; Destain, Marie-France ULg

in ESANN 2014 Proceedings (2014, April 24)

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See detailPredicting interactome networks perturbations in human cancer: application to gene fusions in acute lymphoblastic leukemia.
Juvenal Hajingabo, Leon; Daakour, Sarah ULg; Martin, Maud ULg et al

in Molecular biology of the cell (2014)

Genomic variations such as point mutations and gene fusions are directly or indirectly associated with human diseases. They are recognized as diagnostic, prognostic markers and therapeutic targets ... [more ▼]

Genomic variations such as point mutations and gene fusions are directly or indirectly associated with human diseases. They are recognized as diagnostic, prognostic markers and therapeutic targets. However, predicting the functional impact of these genetic alterations beyond affected genes and their products is challenging because diseased phenotypes are likely dependent of complex molecular interaction networks. Using as models three different chromosomal translocations ETV6-RUNX1 (TEL-AML1), BCR-ABL1, and TCF3-PBX1 (E2A-PBX1), frequently found in precursor-B cell acute lymphoblastic leukemia (preB-ALL), we develop an approach to extract perturbed molecular interactions from gene expression changes. We show that the MYC and JunD transcriptional circuits are specifically deregulated following ETV6-RUNX1 and TCF3-PBX1 gene fusions, respectively. We also identified the bulk mRNA NXF1-dependent machinery as a direct target for the TCF3-PBX1 fusion protein. Through a novel approach combining gene expression and interactome data analysis, we provide new insight into TCF3-PBX1 and ETV6-RUNX1 acute lymphoblastic leukemia. [less ▲]

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See detailPredicting neurological outcome in preterms : ultrasounds? evoked potentials
Battisti, Oreste ULg; François, A.; Scalais, E. et al

Conference (1992)

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See detailPredicting recovery from head injury.
HANS, Pol ULg; Albert, Adelin ULg; Born, J D

in British Journal of Hospital Medicine (1987), 37(6), 535538-40

Outcome prediction after severe head injury remains an important issue. We investigated this problem by recording seven risk factors in 40 patients with severe head injury. By applying multivariate ... [more ▼]

Outcome prediction after severe head injury remains an important issue. We investigated this problem by recording seven risk factors in 40 patients with severe head injury. By applying multivariate statistical analysis to the patients' data we selected the factors of prognostic significance: degree of initial neurological damage, severely raised intracranial pressure, and age. We compared clinical and biochemical parameters for evaluating the severity of brain lesion and proposed various simple prognostic indices allowing for correct prediction in more than 85% of patients. [less ▲]

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See detailPredicting response in head and neck cancer: The search for the holy grall
COUCKE, Philippe ULg

in European Journal of Cancer (1997), 33(supp 8), 289-290

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See detailPredicting response to rFVIIa in neonates with intractable bleeding or severe coagulation disturbances.
GKIOUGKI, Evangelia ULg; Mitsiakos, Georgios; Chatziioannidis, Elias et al

in Journal of pediatric hematology/oncology (2013), 35(3), 221-6

BACKGROUND: To date, clinical experience with recombinant factor VIIa (rFVIIa) in neonates is rather limited because of the lack of controlled studies. AlphaIM: The objective of this study was to present ... [more ▼]

BACKGROUND: To date, clinical experience with recombinant factor VIIa (rFVIIa) in neonates is rather limited because of the lack of controlled studies. AlphaIM: The objective of this study was to present further experience from our center with regard to the use of rFVIIa in newborns with severe bleeding or coagulopathy resistant to conventional therapy and to determine factors affecting the clinical outcome. METHODOLOGY: We performed a retrospective data analysis of 29 neonates with intractable bleeding or severe coagulation disturbances. All patients received 100 mug/kg of rFVIIa per dose bolus intravenously (maximum of 23 doses), as rescue procedure after other interventions had failed to achieve hemostasis. RESULTS: Fourteen neonates survived (group A), whereas 15 died (group B). There was no difference in birth weight, gestational age, and bleeding site and causes between the 2 groups. In the neonates who survived, rFVIIa had been administered earlier in the disease process (<24 h of beginning of bleeding) compared with those who died (P=0.009). In all 29 neonates, international normalized ratio was directly restored (from 2.99+/-1.4 before rFVIIa administration to 1.6+/-1.1 afterward, P<0.001) and prothrombin time and activated partial thromboplastin time were significantly decreased after administration of rFVIIa (from 28 to 16.4 and from 180 to 67, respectively; P=0.001 and 0.05, respectively). Blood products administered were significantly less in group A than in group B, as time from the beginning of bleeding to the administration of rFVIIa was significantly less in group A than in group B. Neither acute adverse events nor thromboembolic complications were observed. CONCLUSIONS: In this neonatal group with intractable bleeding and/or severe coagulation disturbances, rFVIIa was more effective in early intervention as rescue therapy, without any adverse events in all neonates. Upon failure to achieve hemostasis with initial administration of blood products, fast intervention with rFVIIa could be considered in neonates with serious bleeding and coagulation disorders. [less ▲]

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See detailPredicting survival using health related quality of life scores in glioblastoma cancers: Findings from an international phase III randomised controlled trial.
Bottomley, A.; Taphoorn, M.; Coens, C. et al

in Journal of Clinical Oncology (2005), 23(16S), 9601

Detailed reference viewed: 5 (3 ULg)