Magali Barbier

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Flavonoid derivatives were synthesized and tested for their ability to modulate P-glycoprotein (Pgp)-mediated multidrug resistance (MDR) in vitro. These compounds belong to various flavonoid subclasses, namely: chromones, azaisoflavones, and aurones. Among the investigated compounds, three showed potent reversing activity.(More)
Cell proliferation is a fundamental process involved in growth, development and oncogenesis. Monitoring and quantification of proliferation are essential to analyse the behaviour of cells drug-treated or not. Flow cytometry assessment of cell proliferation requires mathematical models to extract information of interest from fluorescence distributions.(More)
PKH67 labelling was compared for classical proliferation assessment (using S phase evaluation) to analyse the cell proliferation of 29 AML patients treated or not with various drugs. Among these drugs, the effect of tetrapeptide AcSDKP or AcSDKP-NH2 on AML cells, stimulated or not by cytokines, was also evaluated in order to determine (i) if AcSDKP was able(More)
PKH dyes were initially developed by Horan et al. to provide appropriate probes for in vitro and in vivo cell tracking. It has been reported for many cell types that PKH bind irreversibly to the cell membrane without significantly affecting cell growth. Thus, these probes provide an opportunity for long-term cell monitoring and the identification of cells(More)
This paper presents HiDDeN, a high-level distributed architecture for multi-robot cooperation. HiDDeN aims at controlling a team of heterogeneous robots in environments with uncertain communications. It relies on a mission plan defined as an instantiated HTN, i.e. a hierarchical decomposition of robots' tasks. This hierarchical structure also benefits to(More)
This paper describes a new planner, HiPOP (Hierarchical Partial-Order Planner), which is domain-configurable and uses POP techniques to create hierarchical time-flexible plans. HiPOP takes as inputs a description of a domain, a problem, and some optional userdefined search-control knowledge. This additional knowledge takes the form of a set of abstract(More)
This article presents the integration of on-line mission planning and flight scheduling for an unmanned aerial vehicle in military observation missions. Planning selects and orders the best subset of observations to be carried out and schedules the observations while accommodating time windows. The vehicle is subjected to speed, fuel supply and flight(More)
This paper presents an implementation of functional modules for intermixed planning and execution of an observation mission for an UAV. The mission is a mean altitude navigation in a 3D partially known and dynamic environment. The mission plan includes operations such as area survey, outline following and object search, defined off-line by an operator. It(More)
In this work we propose a plan repair algorithm designed to be used in a real-life setting for a team of autonomous robots. This algorithm is built on top of a hybrid planner. This planner mixes partial order planning and hierarchical planning. This allows the creation of a plan with temporal flexibility while using human knowledge to improve the search(More)