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Search Results: 1 - 10 of 2163 matches for " Mathieu Rondeau "
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WikiGIS Basic Concepts: Web 2.0 for Geospatial Collaboration
Stéphane Roche,Boris Mericskay,Wided Batita,Matthieu Bach,Mathieu Rondeau
Future Internet , 2012, DOI: 10.3390/fi4010265
Abstract: With the emergence of Web 2.0, new applications arise and evolve into more interactive forms of collective intelligence. These applications offer to both professionals and citizens an open and expanded access to geographic information. In this paper, we develop the conceptual foundations of a new technology solution called WikiGIS. WikiGIS’s strength lies in its ability to ensure the traceability of changes in spatial-temporal geographic components (geometric location and shape, graphics: iconography and descriptive) generated by users. The final use case highlights to what extent WikiGIS could be a relevant and useful technological innovation in Geocollaboration.
Camus ou les promesses de la vie
Daniel Rondeau
Synergies Monde Mediterranéen , 2010,
Abstract:
Role of vandetanib in the management of medullary thyroid cancer
Brassard M, Rondeau G
Biologics: Targets and Therapy , 2012, DOI: http://dx.doi.org/10.2147/BTT.S24220
Abstract: le of vandetanib in the management of medullary thyroid cancer Review (3504) Total Article Views Authors: Brassard M, Rondeau G Published Date March 2012 Volume 2012:6 Pages 59 - 66 DOI: http://dx.doi.org/10.2147/BTT.S24220 Received: 11 February 2012 Accepted: 24 February 2012 Published: 08 March 2012 Maryse Brassard1*, Geneviève Rondeau2* 1Endocrinology Service, Department of Medicine, Centre Hospitalier Universitaire Affilié (CHA), Laval University, Quebec, Canada; 2Endocrinology Service, Department of Medicine, Centre Hospitalier de l'Université de Montréal (CHUM), University of Montreal, Montreal, Canada *Both authors contributed equally to this article Abstract: Traditionally available treatments, like cytotoxic chemotherapy and external-beam radiation therapy, are limited and essentially ineffective for metastatic medullary thyroid carcinoma (MTC). In the last decade, small-molecule tyrosine kinase inhibitors (TKI) have been introduced in the field of thyroid cancer, after having been shown effective in a wide variety of other tumors. This review focuses on vandetanib (ZD6474, ZactimaTM; AstraZeneca) and its role in the treatment of MTC. Vandetanib is an oral TKI that targets VEGF receptors 2 and 3, RET, and at higher concentrations, the epidermal growth factor (EGF) receptor. This drug has been tested in two important phase II studies which demonstrated that both the 100 and 300 mg/day dosage of vandetanib have antitumor activity on advanced MTC. A phase III trial (ZETA trial) evaluating vandetanib in 331 patients with locally advanced or metastatic MTC showed a significant prolongation of PFS for patients receiving vandetanib compared with placebo. Toxicity surveillance in all studies reported high rates of adverse effects with diarrhea, rash, fatigue and nausea being the most commonly experienced by patients. Vandetanib is currently approved in the United States for unresectable locally advanced or metastatic MTC and has become a new standard of care in this rare and indolent pathology.
Role of vandetanib in the management of medullary thyroid cancer
Brassard M,Rondeau G
Biologics: Targets and Therapy , 2012,
Abstract: Maryse Brassard1*, Geneviève Rondeau2* 1Endocrinology Service, Department of Medicine, Centre Hospitalier Universitaire Affilié (CHA), Laval University, Quebec, Canada; 2Endocrinology Service, Department of Medicine, Centre Hospitalier de l'Université de Montréal (CHUM), University of Montreal, Montreal, Canada*Both authors contributed equally to this articleAbstract: Traditionally available treatments, like cytotoxic chemotherapy and external-beam radiation therapy, are limited and essentially ineffective for metastatic medullary thyroid carcinoma (MTC). In the last decade, small-molecule tyrosine kinase inhibitors (TKI) have been introduced in the field of thyroid cancer, after having been shown effective in a wide variety of other tumors. This review focuses on vandetanib (ZD6474, ZactimaTM; AstraZeneca) and its role in the treatment of MTC. Vandetanib is an oral TKI that targets VEGF receptors 2 and 3, RET, and at higher concentrations, the epidermal growth factor (EGF) receptor. This drug has been tested in two important phase II studies which demonstrated that both the 100 and 300 mg/day dosage of vandetanib have antitumor activity on advanced MTC. A phase III trial (ZETA trial) evaluating vandetanib in 331 patients with locally advanced or metastatic MTC showed a significant prolongation of PFS for patients receiving vandetanib compared with placebo. Toxicity surveillance in all studies reported high rates of adverse effects with diarrhea, rash, fatigue and nausea being the most commonly experienced by patients. Vandetanib is currently approved in the United States for unresectable locally advanced or metastatic MTC and has become a new standard of care in this rare and indolent pathology.Keywords: vandetanib, medullary thyroid cancer, RET mutation, VEFGR
Robust Transmission of Speech LSFs Using Hidden Markov Model-Based Multiple Description Index Assignments
Paul Rondeau,Pradeepa Yahampath
EURASIP Journal on Audio, Speech, and Music Processing , 2008, DOI: 10.1155/2008/896021
Abstract: Speech coding techniques capable of generating encoded representations which are robust against channel losses play an important role in enabling reliable voice communication over packet networks and mobile wireless systems. In this paper, we investigate the use of multiple description index assignments (MDIAs) for loss-tolerant transmission of line spectral frequency (LSF) coefficients, typically generated by state-of-the-art speech coders. We propose a simulated annealing-based approach for optimizing MDIAs for Markov-model-based decoders which exploit inter- and intraframe correlations in LSF coefficients to reconstruct the quantized LSFs from coded bit streams corrupted by channel losses. Experimental results are presented which compare the performance of a number of novel LSF transmission schemes. These results clearly demonstrate that Markov-model-based decoders, when used in conjunction with optimized MDIA, can yield average spectral distortion much lower than that produced by methods such as interleaving/interpolation, commonly used to combat the packet losses.
Robust Transmission of Speech LSFs Using Hidden Markov Model-Based Multiple Description Index Assignments
Rondeau Paul,Yahampath Pradeepa
EURASIP Journal on Audio, Speech, and Music Processing , 2008,
Abstract: Speech coding techniques capable of generating encoded representations which are robust against channel losses play an important role in enabling reliable voice communication over packet networks and mobile wireless systems. In this paper, we investigate the use of multiple description index assignments (MDIAs) for loss-tolerant transmission of line spectral frequency (LSF) coefficients, typically generated by state-of-the-art speech coders. We propose a simulated annealing-based approach for optimizing MDIAs for Markov-model-based decoders which exploit inter- and intraframe correlations in LSF coefficients to reconstruct the quantized LSFs from coded bit streams corrupted by channel losses. Experimental results are presented which compare the performance of a number of novel LSF transmission schemes. These results clearly demonstrate that Markov-model-based decoders, when used in conjunction with optimized MDIA, can yield average spectral distortion much lower than that produced by methods such as interleaving/interpolation, commonly used to combat the packet losses.
Ambient Intelligence: Awareness Context Application in Industrial Storage  [PDF]
Ahmed Zouinkhi, Eddy Bajic, Eric Rondeau, Mohamed Ben Gayed, Mohamed Naceur Abdelkrim
Wireless Sensor Network (WSN) , 2011, DOI: 10.4236/wsn.2011.34016
Abstract: WSNs are designed to efficiently collect data and monitor environments, among other applications. This article describes the concept and realization of an Active Security System for security management of warehousing of chemical substances using WSNs. We present an approach to modeling and simulating cooperation between intelligent products that are equipped with a platform of sensor networks and ambient communication capabilities to increase their security, in a context of ambient intelligence of a deposit for chemical substances. Behavior evolution of every intelligent product is modeled by hierarchical Petri Nets. The simulation of the model is implemented in the Castalia-OMNET++ Tools language.
Investigating hospital heterogeneity with a multi-state frailty model: application to nosocomial pneumonia disease in intensive care units
Benoit Liquet, Jean Francois Timsit, Virginie Rondeau
BMC Medical Research Methodology , 2012, DOI: 10.1186/1471-2288-12-79
Abstract: We show how a simple multi-state frailty model can be used to study semi-competing risks while fully taking into account the clustering (in ICU) of the data and the longitudinal aspects of the data, including left truncation and right censoring. We suggest the use of independent frailty models or joint frailty models for the analysis of transition intensities. Two distinct models which differ in the definition of time t in the transition functions have been studied: semi-Markov models where the transitions depend on the waiting times and nonhomogenous Markov models where the transitions depend on the time since inclusion in the study. The parameters in the proposed multi-state model may conveniently be computed using a semi-parametric or parametric approach with an existing R package FrailtyPack for frailty models. The likelihood cross-validation criterion is proposed to guide the choice of a better fitting model.We illustrate the use of our approach though the analysis of nosocomial infections (ventilator-associated pneumonia infections: VAP) in ICU, with “alive discharge” and “death” in ICU as other endpoints. We show that the analysis of dependent survival data using a multi-state model without frailty terms may underestimate the variance of regression coefficients specific to each group, leading to incorrect inferences. Some factors are wrongly significantly associated based on the model without frailty terms. This result is confirmed by a short simulation study. We also present individual predictions of VAP underlining the usefulness of dynamic prognostic tools that can take into account the clustering of observations.The use of multistate frailty models allows the analysis of very complex data. Such models could help improve the estimation of the impact of proposed prognostic features on each transition in a multi-centre study. We suggest a method and software that give accurate estimates and enables inference for any parameter or predictive quantity of intere
Une enquête interactive de l'ONEM sur quatre escargots méditerranéens
Vincent Prié,Alexis Rondeau,Christophe Bernier
MalaCo , 2007,
Abstract:
frailtypack : An R Package for the Analysis of Correlated Survival Data with Frailty Models Using Penalized Likelihood Estimation or Parametrical Estimation
Virginie Rondeau,Yassin Mazroui,Juan R. Gonzalez
Journal of Statistical Software , 2012,
Abstract: Frailty models are very useful for analysing correlated survival data, when observations are clustered into groups or for recurrent events. The aim of this article is to present the new version of anR package called frailtypack. This package allows to t Cox models andfour types of frailty models (shared, nested, joint, additive) that could be useful for several issues within biomedical research. It is well adapted to the analysis of recurrent events such as cancer relapses and/or terminal events (death or lost to follow-up). The approach uses maximum penalized likelihood estimation. Right-censored or left-truncated data are considered. It also allows stratication and time-dependent covariates during analysis.
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