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23rd European Photovoltaic Solar Energy Conference and Exhibition, 1-5 September 2008, Valencia, Spain; 2829-2833, In 2006, BP Solar announced the breakthrough of a new process for ingot growth that significantly increased cell performance over traditional multi-crystalline based silicon solar cells. This new technique, named Mono2™, is a great advance in casting technology and builds on the pioneering work conducted by BP Solar scientists who first introduced multi-crystalline growth techniques more than 25 years ago. Mono2TM enables the higher efficiencies of mono crystal based wafers while incorporating the benefits of cast technology such as high silicon yield, low light induced degradation (LID), low capital intensity, and scale. Product incorporating cells from this process were installed in a 0.5MW grid connected system in Chino, California, USA during 2007. Mono2™ product was installed alongside standard multi-crystalline modules for the purpose of direct comparison. This paper reports on data such as LID, low light level responsiveness and outdoor performance at the module and the system level. Early results from these activities show that product made with the Mono2™ wafer process affords significant improvements in energy generation (>6%) over traditional cast multi-crystalline silicon processes. Reduced defect densities and higher carrier life times contribute to these gains.

International audience; On utilise un modèle couplé des dynamiques écologiques et des comportements économiques des agents pour représenter les processus de choix dans la gestion et la préservation d'une zone humide en Camargue. Dans cette zone, la chasse, la coupe du roseau, l'élevage, la pêche et les activités récréatives ont des besoins spécifiques dans la gestion de l'eau, qui est un input commun à ces activités. La richesse biologique assurée par la roselière a conduit à la mise en place d'incitations pour sa préservation (c'est un site Natura 2000). Mais que se passerait-il si cette activité économique devenait plus fragile ? Quel paysage et quelle diversité biologique en résulteraient ? Pour répondre à ces questions, les auteurs ont construit un modèle de simulation multi-agents, intégrant des données biologiques, physiques et économiques. Comme la gestion de l'eau implique une décision collective, ils insistent sur les dilemmes qui en découlent et sur leurs impacts écologiques. Notamment, ils étudient la modification de la biodiversité et du paysage qui résulterait d'une individualisation de la gestion de l'eau par endiguement. Le modèle est conçu pour être utilisé dans les négociations environnementales entre agences publiques et utilisateurs locaux du marais.

Technical report TR03-05. Modern sequencing technology now permits the sequencing of entire genomes, leading to thousands of new gene sequences in need of detailed annotation. It is too time consuming to predict the properties of each protein sequence manually and to organize the results of many prediction tools by hand. The prediction process must be automated so the predictions can be automatically organized, but the predictions must also be transparent. That is, the rationale for each prediction should be easily examinable by anyone that wishes to use the prediction. Proteome Analyst (PA) is a web-based system for predicting the properties of each protein in a proteome. PA has three interesting features. First, it provides a single web-based tool that allows the user to select a wide range of analytic tools and automatically apply them to each protein in a proteome. In essence, PA provides one-stop automatic high-throughput analysis. Second, PA has the ability to explain its predictions to users. PA is based on established machine learning techniques, but makes every prediction transparent to its users. Third, PA allows users to easily create their own transparent custom predictors without programming. | TRID-ID TR03-05

Technical report TR03-09. Naive Bayes classifiers, a popular tool for predicting the labels of query instances, are typically learned from a training set. However, since many training sets contain noisy data, a classifier user may be reluctant to blindly trust a predicted label. We present a novel graphical explanation facility for Naive Bayes classifiers that serves three purposes. First, it transparently explains the reasoning used by the classifier to foster user confidence in the prediction. Second, it enhances the user's understanding of the complex relationships between the features and the labels. Third, it can help the user to identify suspicious training data. We demonstrate these ideas in the context of our implemented web-based system, which uses examples from molecular biology.-based system, which uses examples from molecular biology. | TRID-ID TR03-09

National audience; Les roselières méditerranéennes sont l'objet de multiples usages, chacun étant associé à une gestion de l'eau et du roseau qui affecte le fonctionnement de l'écosystème et la conservation des espèces associées. Les auteurs présentent la structure générale de ReedSim, un modèle multi-agents qui intègre les relations horizontales (configurations spatiales) et les relations verticales (organisations sociales) du territoire. Utilisant la plateforme de simulation Cormas, le modèle se décompose en un sous-modèle écologique (roselière, niveaux d'eau et oiseaux) et un sous-modèle socio-économique (marché du roseau et gestion). Le modèle est destiné à être utilisé en aménagement du territoire et comme support d'aide à la décision collective.

Technical report TR03-14. Identifying the destination or localization of proteins is key to understanding their function and facilitating their purification. A number of existing computational prediction methods are based on sequence analysis. However, these methods are limited in scope, accuracy and most particularly breadth of coverage. Rather than using sequence information alone, we have explored the use of database text annotations from homologs and machine learning to substantially improve the prediction of subcellular location. Results: We have constructed five machine-learning classifiers for predicting subcellular localization of proteins from animals, plants, fungi, Gram-negative bacteria and Gram-positive bacteria, which are 81% accurate for fungi and 92% to 94% accurate for the other four categories. These are the most accurate subcellular predictors across the widest set of organisms ever published. Our predictors are part of the Proteome Analyst (PA) web-service. Availability http://www.cs.ualberta.ca/~bioinfo/PA/Sub http://www.cs.ualberta.ca/~bioinfo/PA Supplementary Information http://www.cs.ualberta.ca/~bioinfo/PA/Subcellular Contact bioinfo@cs.ualberta.ca | TRID-ID TR03-14

Presented at the June 2016 general meeting of Ecopotential, this poster present the Camargue context in terms of geomorphological history and agro-ecosystem hydrological management, with scientific priorities to fulfill management and conservation goals.

Projections are made on the future state of seasonally flooded wetland within the Mediterranean climate zone based on expected changes in rainfall and evapotranspiration at the horizons 2050 and 2100.

This study documents the evolution of saltworks in Mediterranean France since World War II. While the number of salworks decreased from 29 to 5 sites (two of which are located in the Camargue), their total area has increased from 122 to 175 km sq following their industrialisation. As much as 97% of the sites where salt production was abandoned are part of the Natura 2000 network today. Preserving the cultural and natural heritage of these sites will be a major challenge in the next decades due to sea-level rise.

Reflectance thresholds are provided for the NIR and SWIR2 bands of Sentinel2 and Landsat 5,7,8 satellites for mapping surface water, including under wetland vegetation where most currently available water indices fail to detect water.

This study documents the evolution of saltworks in Mediterranean France since World War II. While the number of salworks decreased from 29 to 5 sites (two of which are located in the Camargue), their total area has increased from 122 to 175 km sq following their industrialisation. As much as 97% of the sites where salt production was abandoned are part of the Natura 2000 network today. Preserving the cultural and natural heritage of these sites will be a major challenge in the next decades due to sea-level rise.

Projections are made on the future state of seasonally flooded wetland within the Mediterranean climate zone based on expected changes in rainfall and evapotranspiration at the horizons 2050 and 2100.

Review on the progress, shortcomings and challenges of mapping wetlands based on remotely-sensed methodologies. A better collaboration between ecologists and remote sensing specialists is strongly encouraged to improve map quality and relevance.

This storyline aims at making the best use of remote-sensing tools to document the evolution in the state of wetlands and the services they can deliver within a context of global changes, integrating feedback processes occurring at local scale through stakeholder management.

Projections are made on the future state of seasonally flooded wetland within the Mediterranean climate zone based on expected changes in rainfall and evapotranspiration at the horizons 2050 and 2100.

Machine learning (image analysis), natural language processing and self-organising maps are combined to collect and interpret 20 000 Camargue photos shared on the website Flickr to inform managers on the location and seasonal dynamics of visitors relative to various recreation activities.

Presented at the June 2016 general meeting of Ecopotential, this poster present the Camargue context in terms of geomorphological history and agro-ecosystem hydrological management, with scientific priorities to fulfill management and conservation goals.