Terre-de-Bas, Guadeloupe

The University of the French West Indies and Guiana is a French university, based in the French West Indies. It is under the Academy of French Guiana.The University has 5 campuses: two in Guadeloupe: Fouillole and Saint-Claude, one in Martinique: Schœlcher of La Meynard in Le Lamentin), two in French Guiana: Saint-Denis and Kourou. Wikipedia.

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Agency: Cordis | Branch: FP7 | Program: CSA-CA | Phase: INCO-2009-1.2 | Award Amount: 1.75M | Year: 2010

The EUCARINET project is a 4 years Coordination Action whose main goal is to strengthen bi-regional sustainable policy dialogue on S&T between EU Member States (MS), Associated States (AS) and in the Caribbean Region, the Caribbean ACP States, the overseas Departments and Collectivities, the Overseas Countries and Territories (OCTs). The project will work at policy, programme and institutional (research entities) level, thus contributing to a threefold objective: 1) create the conditions of the sustainable multi-stakeholders policy dialogue on S&T between the European Union, its member states, its associated states and the Caribbean Region, leading to a joint definition of S&T co-operation policies, 2) Foster interregional (UE-CARIBBEAN) and intraregional cooperation in leading to the identification and prioritisation of common research areas of mutual interest and benefit. 3)Stimulate and support the participation of the Caribbean research stakeholders in FP7, with a first emphasis on the People Programme. In order to do that, the consortium of thirteen members both from EU and the Caribbean will implement a 5 WPs workprogamme: management, dialogue platform establishment, priorites setting, instrumentsfor sutainable cooperation and dissemination/networking.

University of Rennes 1, Ecoles Des Hautes Etudes En Sante Publique Ehesp, Center Eugene Marquis, Rennes University Hospital Center, University of the French West Indies and Guiana | Date: 2014-01-31

In particular the present invention relates to a method for predicting the risk of relapse and distant metastasis in a patient suffering from a triple negative breast cancer comprising the step of i) determining the level of soluble CD95L in a blood sample obtained from the patient ii) comparing the level determined at step i) with a predetermined reference value and iii) concluding that the patient will exhibit an increased risk of relapse and distant metastasis when the level determined at step i) is higher than the predetermined reference value or concluding that the patient will exhibit a decreased risk of relapse and distant metastasis when the level determined at step i) is lower than the predetermined reference value. The present invention also relates to a method of preventing metastases in a subject suffering from triple negative breast cancer comprising the steps consisting of i) predicting the risk of relapse and distant metastasis by the method according to the invention and ii) administering the subject with a therapeutically effective amount of a CD95 antagonist when it is concluded at step i) that the subject will exhibit an increased risk of relapse and distant metastasis.

Sanguine, University of the French West Indies and Guiana | Date: 2014-02-04

The present invention relates to methods for assaying JAK2 activity in a red blood cell. The present invention also relates to methods for diagnosing myeloproliferative neoplasm.

University of the French West Indies, Guiana and Sanguine | Date: 2014-03-04

The present invention relates to isolated VHHs directed against human Glycophorin A. The present invention also relates to fusion proteins comprising the VHH according to the invention that is fused to at least one heterologous polypeptide and immunoconjugates comprising the VHH according to the invention that is conjugated to at least one chemical compound and their use in therapeutic or diagnostic methods.

Molto Q.,University of the French West Indies and Guiana | Rossi V.,CIRAD | Blanc L.,CIRAD
Methods in Ecology and Evolution | Year: 2013

Reliable above-ground biomass (AGB) estimates are required for studies of carbon fluxes and stocks. However, there is a huge lack of knowledge concerning the precision of AGB estimates and the sources of this uncertainty. At the tree level, the tree height is predicted using the tree diameter at breast height (DBH) and a height sub-model. The wood-specific gravity (WSG) is predicted with taxonomic information and a WSG sub-model. The tree mass is predicted using the predicted height, the predicted WSG and the biomass sub-model. Our models were inferred with Bayesian methods and the uncertainty propagated with a Monte Carlo scheme. The uncertainties in the predictions of tree height, tree WSG and tree mass were neglected sequentially to quantify their contributions to the uncertainty in AGB. The study was conducted in French Guiana where long-term research on forest ecosystems provided an outstanding data collection on tree height, tree dynamics, tree mass and species WSG. We found that the uncertainty in the AGB estimates was found to derive primarily from the biomass sub-model. The models used to predict the tree heights and WSG contributed negligible uncertainty to the final estimate. Considering our results, a poor knowledge of WSG and the height-diameter relationship does not increase the uncertainty in AGB estimates. However, it could lead to bias. Therefore, models and databases should be used with care. This study provides a methodological framework that can be broadly used by foresters and plant ecologist. It provides the accurate confidence intervals associated with forest AGB estimates made from inventory data. When estimating region-scale AGB values (through spatial interpolation, spatial modelling or satellite signal treatment), the uncertainty of the forest AGB value in the reference forest plots has to be taken in account. We believe that in the light of the Reducing Emissions from Deforestation and Degradation debate, our method is a crucial step in monitoring carbon stocks and their spatio-temporal evolution. © 2012 The Authors. Methods in Ecology and Evolution © 2012 British Ecological Society.

Connes P.,University of the French West Indies and Guiana
Scandinavian Journal of Medicine and Science in Sports | Year: 2010

The relationship between blood rheology and hemodynamics is complex, and the following review presents several aspects of exercise hemorheology, with the focus on both cycling and running as exercise. The scientific literature assessing the effects of warm environment on exercise hemorheology is presented and the potential consequences for a specific population, sickle cell trait carriers, are discussed. © 2010 John Wiley & Sons A/S.

Hue O.,University of the French West Indies and Guiana
International Journal of Sports Physiology and Performance | Year: 2011

The tropical climate is unique in that the seasons are dominated by the movement of the tropical rain belt, resulting in dry and wet seasons rather than the four-season pattern of changes in temperature and day length seen in other parts of the world. More than 33% of the world population lives in the humid tropics, which are characterized by consistently high monthly temperatures and rainfall that exceeds evapotranspiration for most days of the year. Both the 2014 Football World Cup (in Brazil) and the 2016 Olympic Games (in Rio de Janeiro) will take place in this climate. This review focuses on the effects of the tropical environment on human exercise performance, with a special emphasis on prolonged aerobic exercise, such as swimming, cycling, and running. Some of the data were collected in Guadeloupe, the French West Indies Island where all the French teams will be training for the 2016 Olympic Games. We will first fully define the tropical climate and its effects on performance in these sports. Then we will discuss the types of adaptation that help to enhance performance in this climate, as well as the issues concerning the prescription of adequate training loads. We will conclude with some perspectives for future research. © 2011 Human Kinetics, Inc.

Mophou G.M.,University of the French West Indies and Guiana
Computers and Mathematics with Applications | Year: 2011

In this paper we apply the classical control theory to a fractional diffusion equation in a bounded domain. The fractional time derivative is considered in a RiemannLiouville sense. We first study the existence and the uniqueness of the solution of the fractional diffusion equation in a Hilbert space. Then we show that the considered optimal control problem has a unique solution. Interpreting the EulerLagrange first order optimality condition with an adjoint problem defined by means of right fractional Caputo derivative, we obtain an optimality system for the optimal control. © 2010 Elsevier Ltd. All rights reserved.

Calif R.,University of the French West Indies and Guiana
Applied Energy | Year: 2012

Wind energy production is very sensitive to turbulent wind speed. Thus rapid variation of wind speed due to changes in the local meteorological conditions can lead to electrical power variations of the order of the nominal power output, in particular when wind power variations on very short time scales, range at few seconds to 1. h, are considered. In small grid as they exist on islands (Guadeloupean Archipelago: French West Indies) such fluctuations can cause instabilities in case of intermediate power shortages. The developed analysis in [14] reveals three main classes of time series for the wind speed fluctuations. In this work, Probability Density Functions (PDFs) are proposed to fit the wind speed fluctuations distributions in each class. After, to simulate wind speed fluctuations sequences, we use a stochastic differential equation, the Langevin equation considering Gaussian turbulence PDF (class I), Gram-Charlier PDF (class II) and a mixture of gaussian PDF (class III). The statistical and dynamical properties of simulated wind sequences are close to those of measured wind sequences, for each class. © 2012 Elsevier Ltd.

Blonbou R.,University of the French West Indies and Guiana
Renewable Energy | Year: 2011

This article presents an adaptive very short-term wind power prediction scheme that uses an artificial neural network as predictor along with adaptive Bayesian learning and Gaussian process approximation. A set of recent wind speed measurements samples composes the predictor's inputs. The predictor's parameters are adaptively optimized so that, at a given time t, its outputs approximate the future values of the generated electrical power. An evaluation of this prediction scheme was conducted for two tests cases; the predictor was set to simultaneously estimate the values of the wind power for the following prediction horizons: 5 min, 10 min and 15 min for test case n°1 and for the test case n°2, the prediction horizons were 10 min, 20 min and 30 min. The neural predictor performs better than the persistent model for both test cases. Moreover, the Bayesian framework also permits to predict, for a specified level of probability, the interval within which the generated power should be observed. © 2010 Elsevier Ltd.

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