Viticulture,like other fields of agriculture,is currently facing important challenges that will be addressed only through sustained,dedicated and coordinated research.Although the methods used in biology have evolved ...Viticulture,like other fields of agriculture,is currently facing important challenges that will be addressed only through sustained,dedicated and coordinated research.Although the methods used in biology have evolved tremendously in recent years and now involve the routine production of large data sets of varied nature,in many domains of study,including grapevine research,there is a need to improve the findability,accessibility,interoperability and reusability(FAIR-ness)of these data.Considering the heterogeneous nature of the data produced,the transnational nature of the scientific community and the experience gained elsewhere,we have formed an open working group,in the framework of the International Grapevine Genome Program(www.vitaceae.org),to construct a coordinated federation of information systems holding grapevine data distributed around the world,providing an integrated set of interfaces supporting advanced data modeling,rich semantic integration and the next generation of data mining tools.To achieve this goal,it will be critical to develop,implement and adopt appropriate standards for data annotation and formatting.The development of this system,the GrapeIS,linking genotypes to phenotypes,and scientific research to agronomical and oeneological data,should provide new insights into grape biology,and allow the development of new varieties to meet the challenges of biotic and abiotic stress,environmental change,and consumer demand.展开更多
The purpose of this paper is to investigate the k-nearest neighbor classification rule for spatially dependent data.Some spatial mixing conditions are considered,and under such spatial structures,the well known k-neare...The purpose of this paper is to investigate the k-nearest neighbor classification rule for spatially dependent data.Some spatial mixing conditions are considered,and under such spatial structures,the well known k-nearest neighbor rule is suggested to classify spatial data.We established consistency and strong consistency of the classifier under mild assumptions.Our main results extend the consistency result in the i.i.d.case to the spatial case.展开更多
This paper considers the production of biomass of two interconnected chemostats in series with biomass mortality and a growth kinetic of the biomass described by an increasing function.A comparison is made with the pr...This paper considers the production of biomass of two interconnected chemostats in series with biomass mortality and a growth kinetic of the biomass described by an increasing function.A comparison is made with the productivity of a single chemostat with the same mortality rate and with volume equal to the sum of the volumes of the two chemostats.We determine the operating conditions under which the productivity of the serial configuration is greater than the productivity of the single chemostat.Moreover,the differences and similarities in the results corresponding to the case with mortality and the one without mortality,are highlighted.The mortality leads to surprising results where the productivity of a steady state where the bacteria are washed out in the first chemostat is greater than the one where the bacteria are present in both chemostats.展开更多
基金The foundations and the first draft of this paper were set up during a workshop organized in Bordeaux,France in February 2015 with the financial support of the Gallo Wine Company,INRA and of the Institut des Sciences de la Vigne et du Vin.
文摘Viticulture,like other fields of agriculture,is currently facing important challenges that will be addressed only through sustained,dedicated and coordinated research.Although the methods used in biology have evolved tremendously in recent years and now involve the routine production of large data sets of varied nature,in many domains of study,including grapevine research,there is a need to improve the findability,accessibility,interoperability and reusability(FAIR-ness)of these data.Considering the heterogeneous nature of the data produced,the transnational nature of the scientific community and the experience gained elsewhere,we have formed an open working group,in the framework of the International Grapevine Genome Program(www.vitaceae.org),to construct a coordinated federation of information systems holding grapevine data distributed around the world,providing an integrated set of interfaces supporting advanced data modeling,rich semantic integration and the next generation of data mining tools.To achieve this goal,it will be critical to develop,implement and adopt appropriate standards for data annotation and formatting.The development of this system,the GrapeIS,linking genotypes to phenotypes,and scientific research to agronomical and oeneological data,should provide new insights into grape biology,and allow the development of new varieties to meet the challenges of biotic and abiotic stress,environmental change,and consumer demand.
文摘The purpose of this paper is to investigate the k-nearest neighbor classification rule for spatially dependent data.Some spatial mixing conditions are considered,and under such spatial structures,the well known k-nearest neighbor rule is suggested to classify spatial data.We established consistency and strong consistency of the classifier under mild assumptions.Our main results extend the consistency result in the i.i.d.case to the spatial case.
文摘This paper considers the production of biomass of two interconnected chemostats in series with biomass mortality and a growth kinetic of the biomass described by an increasing function.A comparison is made with the productivity of a single chemostat with the same mortality rate and with volume equal to the sum of the volumes of the two chemostats.We determine the operating conditions under which the productivity of the serial configuration is greater than the productivity of the single chemostat.Moreover,the differences and similarities in the results corresponding to the case with mortality and the one without mortality,are highlighted.The mortality leads to surprising results where the productivity of a steady state where the bacteria are washed out in the first chemostat is greater than the one where the bacteria are present in both chemostats.
