This study investigates the applicability of empirical and radiative transfer models to estimate water content at leaf and landscape level. Themain goal is to evaluate and compare the accuracy of these two approaches for estimating leaf water content by means of laboratory reflectance/transmittance measurements and for mapping leaf and canopy water content by using airborne Multispectral Infrar...

The multi-scale nature and climate noise properties of teleconnection indices are examined by using the Empirical Mode Decomposition (EMD) procedure. The EMD procedure allows for the analysis of non-stationary time series to extract physically meaningful intrinsic mode functions (IMF) and nonlinear trends. The climatologically relevant monthly mean teleconnection indices of the North Atlantic O...

Mechanisms of interactions between nanoparticles (NPs) and polymer brushes (PBs) are explored using dissipative particle dynamics simulations and an original "ghost tweezers" method that emulates lab experiments performed with optical or magnetic tweezers. The ghost tweezers method is employed to calculate the free energy of adhesion. Ghost tweezers represents a virtual harmonic potential, whic...

In the original paper, Goldman et al. (2000) launched the study of the inverse problems in combinatorial chemistry, which is closely related to the design of combinatorial libraries for drug discovery. Following their ideas, we investigate four other topological indices, i.e., the sigma-index, the c-index, the Z-index, and the M(1)-index, with a special emphasis on the sigma-index. Like the Wie...

A recent trend to improve the effectiveness of similarity queries in multimedia databases is based on dynamic combinations of metric spaces. The efficiency issue when using these dynamic combinations is still an open problem, especially in the case of binary weights. Our solution resorts to the use of a set of indices. We describe a binary linear program that finds the optimal set of indices gi...

Malaria remains one of the most common vector-borne diseases in the world and the definition of novel control strategies can benefit from the modeling of transmission processes. However, data-driven models are often difficult to build, as data are very often incomplete, heterogeneous in nature and in quality, and/or biased. In this context, a knowledge-based approach is proposed to build a robu...

The abundance of infected Ixodid ticks is an important component of human risk of Lyme disease, and various empirical studies have shown that this is associated, at least in part, to landscape fragmentation. In this study, we aimed at exploring how varying woodland fragmentation patterns affect the risk of Lyme disease, through infected tick abundance. A cellular automata model was developed, i...

Jérôme Sueur1), Almo Farina2), Amandine Gasc1,3), Nadia Pieretti2), Sandrine Pavoine3,4) 1) Muséum national d’Histoire naturelle, Département Systématique et Évolution, UMR 7205-CNRS ISYEB, 45 rue Buffon, Paris, France. [email protected] 2) Department of Basic Sciences and Foundations, Urbino University, Urbino, Italy 3) Muséum national d’Histoire naturelle, Département Ecologie et Gestion de la Bi...