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Institution

Agrocampus Ouest

EducationRennes, France
About: Agrocampus Ouest is a education organization based out in Rennes, France. It is known for research contribution in the topics: Population & Soil water. The organization has 2160 authors who have published 3219 publications receiving 75606 citations. The organization is also known as: Institut supérieur des sciences agronomiques, agroalimentaires, horticoles et du paysage & Higher Institute for agricultural sciences, food industry, horticulture and landscape management.


Papers
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Journal ArticleDOI
TL;DR: Key mathematical models that may be used to perform 1-D simulation for spray drying processes are summarized, predict essential product-drying gas parameters, assess the accuracy of prediction using pilot-scale spray drying data and perhaps most importantly address the main benefits and limitations of the 1- D simulation technique in relation to industrial spray drying operations.
Abstract: One-dimensional (1-D) simulation is a useful technique for the evaluation of dryer operating parameters and product properties before conducting real spray drying trials. The main advantage of a 1-D simulation tool is its ability to perform fast calculations with significant simplicity. Mathematical models can be formulated using heat, mass and momentum balances at the droplet level to estimate time-dependent gas and droplet parameters. One of the purposes of this paper is to summarize key mathematical models that may be used to perform 1-D simulation for spray drying processes, predict essential product-drying gas parameters, assess the accuracy of prediction using pilot-scale spray drying data and perhaps most importantly address the main benefits and limitations of the 1-D simulation technique in relation to industrial spray drying operations. The results of a recent international collaborative study on the development of spray drying process optimization software for skim milk manufacture are presented as an example of the application of 1-D simulation in milk processing.

33 citations

Journal ArticleDOI
TL;DR: A hierarchical Bayesian framework for modeling the life cycle of marine exploited fish with a spatial perspective was developed for a nursery-dependent fish species, the common sole, on the Eastern Channel population and provided insight to the robustness of the approach when only weak data are available.
Abstract: This paper proposes a hierarchical Bayesian framework for modeling the life cycle of marine exploited fish with a spatial perspective. The application was developed for a nursery-dependent fish species, the common sole (Solea solea), on the Eastern Channel population (Western Europe). The approach combined processes of different natures and various sources of observations within an integrated framework for life-cycle modeling: (1) outputs of an individual-based model for larval drift and survival that provided yearly estimates of the dispersion and mortality of eggs and larvae, from spawning grounds to settlement in several coastal nurseries; (2) a habitat suitability model, based on juvenile trawl surveys coupled with a geographic information system, to estimate juvenile densities and surface areas of suitable juvenile habitat in each nursery sector; (3) a statistical catch-at-age model for the estimation of the numbers-at-age and the fishing mortality on subadults and adults. The approach provided estimates of hidden variables and parameters of key biological significance. A simulation approach provided insight to the robustness of the approach when only weak data are available. Estimates of spawning biomass, fishing mortality, and recruitment were close to the estimations derived from stock-assessment working groups. In addition, the model quantified mortality along the life cycle, and estimated site-specific density-dependent mortalities between settled larvae and age-0 juveniles in each nursery ground. This provided a better understanding of the productivity and the specific contribution of each nursery ground toward recruitment and population renewal. Perspectives include further development of the modeling framework on the common sole and applications to other fish species to disentangle the effects of multiple interacting stress factors (e.g., estuarine and coastal nursery habitat degradation, fishing pressure) on population renewal and to develop risk analysis in the context of marine spatial planning for sustainable management of fish resources.

33 citations

Journal ArticleDOI
TL;DR: The results, obtained after unilateral milking, suggest that cell remodeling during ODM is due to a local effect, which may be triggered by milk accumulation.
Abstract: Once daily milking reduces milk yield, but the underlying mechanisms are not yet fully understood. Local regulation due to milk stasis in the tissue may contribute to this effect, but such mechanis...

33 citations

Journal ArticleDOI
TL;DR: The results suggest that the myristoylation of DES1 can target the enzyme to the mitochondria leading to an increase in ceramide levels which in turn contributes to partially explain the apoptosis effect of myristic acid in COS-7 cells.

33 citations

Book ChapterDOI
01 Jan 2013
TL;DR: A general overview of the infant formula market, formula composition, classification and production is provided.
Abstract: Human milk is the best food for all human infants. However, there are situations where the mother cannot or does not want to breastfeed. In such situations, an alternative food is necessary: an infant formula. The aim of infant formulae is thus to try to mimic the composition and function of breast milk and to provide a formula-fed infant with the same growth and development as an exclusively breastfed infant. Considerable progress has been made in recent years in this field. We provide here a general overview of the infant formula market, formula composition, classification and production.

33 citations


Authors

Showing all 2169 results

NameH-indexPapersCitations
Jean Noblet6221311131
Jean-Pierre Renou5820611894
J. F. Le Borgne5517213954
Jean-Christophe Simon471597226
Pierre Duhamel4651312627
Luc Delaby432264880
Jacques Baudry431507564
Jean-Yves Dourmad431164770
Didier Dupont421958137
Daniel Mollé411115915
Gwénaël Jan411044798
Sylvain Gaillard411244917
Michel Bonneau401624777
Jean-Paul Lallès391496846
Chantal Gascuel-Odoux391174520
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202215
2021106
2020205
2019339
2018300