Search results for "21"

showing 10 items of 34876 documents

Winter climate signal in boreal clastic-biogenic varves : a comprehensive analysis of three varved records from 1890 to 1990 AD with meteorological a…

2017

Clastic-biogenic varves are widely used for reconstructing past climate: in boreal environments, the accumulation of minerogenic clasts on the lake floor is generally considered a proxy for past variations in spring floods reflecting previous winter conditions. However, the physical mechanisms behind this winter climate sensitivity and the influence of catchment type on the varve formation are not fully investigated. Here, we present a winter climate record inferred from the clastic laminae of three lakes located on the region of fine-grained tills in Eastern Finland spanning from AD 1890 to 1990. The minerogenic varve data are compared with instrumental meteorological and hydrological time…

010506 paleontology010504 meteorology & atmospheric sciencesta1172ta1171Drainage basinlake sedimentsNorthern Europecatchment dynamics01 natural sciencesProxy (climate)clastic-biogenic varvesta2180105 earth and related environmental sciencesgeographyVarvegeography.geographical_feature_categoryPaleontologyGeology15. Life on landRadiative forcingSubarctic climateclimate forcingBoreal13. Climate actionClastic rockClimatologyfine-grained tillsClimate sensitivityGeologyboreal climateGFF
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Digital and Handcrafting Processes Applied to Sound-Studies of Archaeological Bone Flutes

2016

Bone flutes make use of a naturally hollow raw-material. As nature does not produce duplicates, each bone has its own inner cavity, and thus its own sound-potential. This morphological variation implies acoustical specificities, thus making it impossible to handcraft a true and exact sound-replica in another bone. This phenomenon has been observed in a handcrafting context and has led us to conduct two series of experiments (the first-one using handcrafting process, the second-one using 3D process) in order to investigate its exact influence on acoustics as well as on sound-interpretation based on replicas. The comparison of the results has shed light upon epistemological and methodological…

010506 paleontology03 medical and health sciences0302 clinical medicineComputer scienceProcess (engineering)Morphological variationFluteContext (language use)01 natural sciencesArchaeologySound studies030218 nuclear medicine & medical imaging0105 earth and related environmental sciences
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Introducing the Human Factor in Predictive Modelling: a Work in Progress

2012

International audience; In this paper we present the results of a study into integrating socio-cultural factors into predictive modelling. So far, predictive modelling has largely neglected the social and cultural dimensions of past landscapes. To maintain its value for archaeological research, therefore, it needs new methodologies, concepts and theories. For this study, we have departed from the methodology developed in the 1990s during the Archaeomedes Project. In this project, cross-regional comparisons of settlement location factors were made by analyzing the environmental context of Roman settlements in the French Rhône Valley. For the current research, we expanded the set of variables…

010506 paleontologyOperations researchregional comparison[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryComputer sciencefacteurs socio-culturelsSubject (philosophy)0211 other engineering and technologies02 engineering and technology01 natural sciencesdiachronic comparisonCultural heritage managementcomparaison diachronique0601 history and archaeology0105 earth and related environmental sciences021101 geological & geomatics engineeringcomparaison régionale[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory060102 archaeologyPredictive modellingRoman period.Cultural resources managementpériode romaine.06 humanities and the artsWork in processPopularityEpistemologysocio-cultural factors[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistoryCriticismArchaeological heritageModélisation prédictivePredictive modelling
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Comment on “A simple way to incorporate uncertainty and risk into forest harvest scheduling”

2017

In a recent research article, Robinson et al. (2016) described a method of estimating uncertainty of harvesting outcomes by analyzing the historical yield to the associated prediction for a large number of harvest operations. We agree with this analysis, and consider it a useful tool to integrate estimates of uncertainty into the optimization process. The authors attempt to manage the risk using two different methods, based on deterministic integer linear programming. The first method focused on maximizing the 10th quantile of the distribution of predicted volume subject to area constraint, while the second method focused on minimizing the variation of total quantity of volume harvested sub…

0106 biological sciences021103 operations researchOperations researchComputer science0211 other engineering and technologiesDownside riskScheduling (production processes)Forestry02 engineering and technologyManagement Monitoring Policy and Lawepävarmuus01 natural sciencesStochastic programmingExpected shortfallstochastic programmingConditional Value at Riskta1181Research articleuncertaintyInteger programming010606 plant biology & botanyNature and Landscape ConservationQuantileriskForest Ecology and Management
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Towards European Dimensions of City Resilience

2016

International audience; Disaster resilience is becoming more important and raises the highest concerns worldwide, including in Europe. Cities have a vital role for resilience because a majority of the population resides in the cities. Despite the recognition of the importance of city resilience, there is no strong consensus what city resilience is and its dimensions, and how the resilience concept should be transferred into management practice in the cities. In this paper, we conduct a survey of EU sectorial approaches in terms of EU-funded projects related to climate change and critical infrastructure, where urban or city resilience are in focus. The goal is to obtain an overview of how th…

0106 biological sciences021110 strategic defence & security studieseducation.field_of_studyEuropean dimension of resiliencePopulation0211 other engineering and technologiesClimate changeContext (language use)02 engineering and technologyDisaster resilienceResilient dimensions01 natural sciencesCritical infrastructureCity resilience010601 ecology13. Climate actionPolitical science11. SustainabilityRegional science[INFO]Computer Science [cs]Dimension (data warehouse)Resilience (network)education
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Mycorrhizal symbiosis primes the accumulation of antiherbivore compounds and enhances herbivore mortality in tomato

2021

Abstract Plant association with arbuscular mycorrhizal fungi (AMF) can increase their ability to overcome multiple stresses, but their impact on plant interactions with herbivorous insects is controversial. Here we show higher mortality of the leaf-chewer Spodoptera exigua when fed on tomato plants colonized by the AMF Funneliformis mosseae, evidencing mycorrhiza-induced resistance. In search of the underlying mechanisms, an untargeted metabolomic analysis through ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS) was performed. The results showed that mycorrhizal symbiosis had a very limited impact on the leaf metabolome in the absence of stress, but significantly m…

0106 biological sciences0301 basic medicineAzelaic acidPhysiologyPlant Science01 natural sciences03 medical and health sciencesMetabolomicsSolanum lycopersicumSymbiosisTandem Mass SpectrometrySpodoptera exiguaMycorrhizaeBotanyExiguamedicineMetabolomeAnimalsMetabolomicsmycorrhiza induced resistanceHerbivoryArbuscular mycorrhizaSymbiosisHerbivorebiologyAcademicSubjects/SCI01210AlkaloidfungiFungifood and beveragesbiology.organism_classificationResearch PapersArbuscular mycorrhizaspodoptera exigua030104 developmental biologyDefence primingPlant—Environment InteractionsMycorrhiza induced resistance Spodoptera exiguaChromatography Liquid010606 plant biology & botanymedicine.drug
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Role of Bacillus thuringiensis Cry1A toxins domains in the binding to the ABCC2 receptor from Spodoptera exigua

2018

Abstract Cry proteins from Bacillus thuringiensis (Bt) have been used to control insect pests either as formulated sprays or as in Bt-crops. However, field-evolved resistance to Bt proteins is threatening the long-term use of Bt products. The SeABCC2 locus has been genetically linked to resistance to a Bt bioinsecticide (Xentari™) in Spodoptera exigua (a mutation producing a truncated form of the transporter lacking an ATP binding domain was found in the resistant insects). Here, we investigated the role of SeABCC2 in the mode of action of Cry1Aa, Cry1Ab, Cry1Ac, Cry1Ca, and two Cry1A-1Ca hybrids by expressing the receptor in Sf21 and HEK293T cell lines. Cell toxicity assays showed that Sf2…

0106 biological sciences0301 basic medicineCell SurvivalBacillus thuringiensisGene ExpressionSpodopteraSpodopteraTransfection01 natural sciencesBiochemistryHemolysin ProteinsStructure-Activity Relationship03 medical and health sciencesBacterial ProteinsProtein DomainsBacillus thuringiensisExiguaSf9 CellsAnimalsHumansProtein IsoformsBinding siteReceptorMolecular BiologySf21Binding SitesBacillus thuringiensis Toxinsbiologyfungibiology.organism_classificationMultidrug Resistance-Associated Protein 2Recombinant ProteinsClone CellsEndotoxins010602 entomologyHEK293 Cells030104 developmental biologyBiochemistryCry1AcLarvaInsect ScienceMutationInsect ProteinsMultidrug Resistance-Associated ProteinsPlasmidsProtein BindingBinding domainInsect Biochemistry and Molecular Biology
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When Choice Makes Sense: Menthol Influence on Mating, Oviposition and Fecundity in Drosophila melanogaster

2016

International audience; The environment to which insects have been exposed as larvae and adults can affect subsequent behaviors, such as mating, oviposition, food preference or fitness. Experience can change female preference for oviposition, particularly in phytophagous insects. In Drosophila melanogaster, females avoid laying eggs on menthol rich-food when given the choice. Exposure to menthol during larval development reduces this aversion. However, this observation was not reproduced in the following generation. Recently, we have shown that oviposition-site preference (OSP) differs between wild type D. melanogaster lines freely or forcibly exposed to menthol. After 12 generations, menth…

0106 biological sciences0301 basic medicineCognitive Neurosciencemedia_common.quotation_subjectfecundityZoologymenthol[ SDV.BA ] Life Sciences [q-bio]/Animal biology010603 evolutionary biology01 natural scienceslcsh:RC346-429lcsh:RC321-571Courtship03 medical and health sciencesCellular and Molecular Neurosciencechemistry.chemical_compoundBiologie animaleBotanyMelanogasterFood and NutritionMatinglcsh:Neurosciences. Biological psychiatry. Neuropsychiatrylcsh:Neurology. Diseases of the nervous systemchoicemedia_commonOriginal ResearchAnimal biologyoviposition preference;courtship;mating;fecundity;Drosophila melanogaster;menthol;choiceLarvabiologyCourtship display[SDV.BA]Life Sciences [q-bio]/Animal biologyfungioviposition preferencebiology.organism_classificationFecunditySensory Systemsmating030104 developmental biologyDrosophila melanogasterchemistryAlimentation et NutritioncourtshipDrosophila melanogasterMentholNeuroscienceFrontiers in Integrative Neuroscience
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Reproductive inequalities in the acanthocephalan Corynosoma cetaceum: looking beyond 'crowding' effects.

2018

Background: At present, much research effort has been devoted to investigate overall (average) responses of parasite populations to specific factors, e.g., density-dependence in fecundity or mortality. However, studies on parasite populations usually pay little attention to individual variation (inequality) in reproductive success. A previous study on the acanthocephalan Corynosoma cetaceum in franciscana dolphins, Pontoporia blainvillei, revealed no overall intensity-dependent, or microhabitat effects, on mass and fecundity of worms. In this study, we investigated whether the same factors could influence mass inequalities for this species of acanthocephalan.Methods: A total of 10,138 speci…

0106 biological sciences0301 basic medicineCompetitive Behaviormedia_common.quotation_subjectDolphinsPopulationHelminthiasisPopulation geneticsZoologyBiologyPolymorphidae010603 evolutionary biology01 natural sciencesCompetition (biology)lcsh:Infectious and parasitic diseasesAcanthocephalaCiencias Biológicas//purl.org/becyt/ford/1 [https]03 medical and health sciencesHelminthsAnimalslcsh:RC109-216Biomass//purl.org/becyt/ford/1.6 [https]media_commonBiomass (ecology)Reproductive successCompetitionReproductionResearchZoología Ornitología Entomología EtologíaBody size030108 mycology & parasitologyFecunditybiology.organism_classificationCrowdingInfectious DiseasesFertilityCorynosomaFecundityParasitologyFemaleInequalitiesAcanthocephalaCIENCIAS NATURALES Y EXACTASParasitesvectors
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The bacterial microbiome of meloidogyne-based disease complex in coffee and tomato

2020

The Meloidogyne-based disease complexes (MDCs) are caused by the interaction of different root-knot nematode species and phytopathogenic fungi. These complexes are devastating several important crops worldwide including tomato and coffee. Despite their relevance, little is known about the role of the bacterial communities in the MDCs. In this study 16s rDNA gene sequencing was used to analyze the bacterial microbiome associated with healthy and infested roots, as well with females and eggs of Meloidogyne enterolobii and M. paranaensis, the causal agents of MDC in tomato and coffee, respectively. Each MDC pathosystems displayed a specific taxonomic diversity and relative abundances constitut…

0106 biological sciences0301 basic medicineMeloidogynePathologie végétalePlant Sciencelcsh:Plant culture01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_479203 medical and health sciencesMaladie des planteshttp://aims.fao.org/aos/agrovoc/c_5962Meloidogyne paranaensisSolanum lycopersicumcorky rootAlteromonadalesBotanyhttp://aims.fao.org/aos/agrovoc/c_1721lcsh:SB1-1110MicrobiomeH20 - Maladies des planteshttp://aims.fao.org/aos/agrovoc/c_4475Original Researchfunctional profilehttp://aims.fao.org/aos/agrovoc/c_4729biologypathobiomeP34 - Biologie du solfood and beveragesNocardiaCoffea arabicabiology.organism_classification16S ribosomal RNABacillalesMeloidogyne enterolobiiBurkholderiales030104 developmental biologyNematodehttp://aims.fao.org/aos/agrovoc/c_5974Meloidogyne enterolobii010606 plant biology & botany
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