Developmental programming: the role of growth hormone

Developmental programming of the fetus has consequences for physiologic responses in the offspring as an adult and, more recently, is implicated in the expression of altered phenotypes of future generations. Some phenotypes, such as fertility, bone strength, and adiposity are highly relevant to food animal production and in utero factors that impinge on those traits are vital to understand. A key systemic regulatory hormone is growth hormone (GH), which has a developmental role in virtually all tissues and organs. This review catalogs the impact of GH on tissue programming and how perturbations early in development influence GH function

Compte-rendu des activités du GT MEA Méthodes Ensemblistes pour l'Automatique

National audienc

Compte-rendu des activités du GT MEA Méthodes Ensemblistes pour l'Automatique

National audienc

Guaranteed Numerical Computation as an alternative to Computer Algebra for Testing Models for Identifiability

Revised Papers , Alt, R. and Frommer, A. and Kearfott, R. B. and Luther, W., Springer.International audienc

Tight-binding variable-charge model for insulating oxides: Application to TiO

We have developed a new variable-charge model aimed at performing large-scale realistic simulations of oxide surfaces and interfaces. This model is based on the charge equilibration (QEq) method and explicitly takes into account the mixed iono-covalent character of the metal-oxygen bond by means of a tight-binding analytical approach. We present the first results obtained for TiO2 and ZrO2 polymorphs, which are in very good agreement with the experimental data and recent ab initio results

Guaranteed Nonlinear Estimation Using Constraint Propagation on Sets

Bounded-error estimation is the estimation of the parameter or state vector of a model from experimental data, under the assumption that some suitabl y de...ned errors shoul d bel ong to some prior feasibl e sets. When the model outputs arel inear in the vector to be estimated, a number of methods are avail#0 l e to encl ose al# estimates that are consistent with the data into simpl# sets such as el# ipsoids, orthotopes or paral#0xP90O es, thereby providing guaranteed set estimates. In the nonl#x]30 case, the situation is muchl#O4 devel#O ed and there are very few methods that produce such guaranteed estimates. In this paper, the discrete-time probl em is cast into the more general framework of constraint satisfaction probl ems.Al# orithms rathercl assical in the area of interval constraint propagation are extended by repl acing interva l# by moregeneral subsets of real vector spaces. This makes it possibl# to propose a new al#9Oq30 m that contracts the feasibl e domains for each uncertain variabl# optimal#O (i.e., no smal# er domain coul d be obtained) and ecientl# . The resul ting methodol#03 isil#34 trated on discrete-time nonl#O0O7 state estimation. The state at time k is estimated either from past measurement onl y or from al l measurements assumed to be avai l#bl# from the start. Even in the causal case, prior information on the future val# e of the state and output vectors, due for instance to physical constraints, is readil y taken into account