Search results for "38"

showing 10 items of 1730 documents

CCDC 699485: Experimental Crystal Structure Determination

2010

Related Article: O.Molokanova, G.Podoprygorina, M.Bolte, V.Bohmer|2009|Tetrahedron|65|7220|doi:10.1016/j.tet.2008.10.099

(2)-263943-tetrakis(pentyloxy)-18275564-tetraoxa-1012333547497072-octa-azaundecacyclo-[42.30.1.1373.159.1738.11317.12832.13640.-14246.15054.16569]-tetraoctacontane-11344871-tetrol 263943-tetrakis(pentyloxy)-18275564-tetraoxa-1012333547497072-octa-azaundecacyclo-[42.30.1.1373.159.1738.11317.12832.13640.14246.-15054.16569]-tetraoctaconta-13(76)5(84)6813(83)141628(82)293136(80)373942(79)434550(78)-515365(77)666873-tetracosaene-11344871-tetrone chloroform solvateSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 981913: Experimental Crystal Structure Determination

2014

Related Article: Abdou K. D. Dimé, Charles H. Devillers, Hélène Cattey, Dominique Lucas|2014|Dalton Trans.|43|14554|doi:10.1039/C4DT00221K

(mu-7172737-tetrakis(4-methylphenyl)-1232-diphenyl-525414243454647-octaazaundecacyclo[36.2.1.136.1811.11316.11821.12326.12831.13336.0224.0422]octatetraconta-136(48)7911(47)12141618(45)19212326(44)272931(43)32343638(41)39-docosaenato(4-)-1kappa4N25N41N42N43:2kappa4N5N45N46N47)-di-nickel(ii) chloroform solvateSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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Motivations, engagement and adoption of e-WOM in restaurants.

2022

Resumen El objetivo del presente trabajo fue estudiar el efecto que tienen las motivaciones para consultar y escribir e-WOM sobre el compromiso con el e-WOM y la influencia de dicho compromiso en la adopción del e-WOM consultado. Para analizar estas relaciones, se realizó una investigación empírica aplicada en el contexto de los restaurantes. El ámbito geográfico fue Ecuador, con una muestra de 461 consumidores. Se utilizó un modelo de ecuaciones estructurales y se validó la cadena de relaciones. Los resultados confirmaron las relaciones entre estas variables; además, se presentaron implicaciones académicas interesantes para profundizar en el estudio sobre el compromiso con el e-WOM, así co…

//id.loc.gov/authorities/subjects/sh2001008645 [http]Restaurants//id.loc.gov/authorities/subjects/sh97007573 [http]Strategy and ManagementRestaurantesmotivaciónPublicidad boca a boca//vocabularies.unesco.org/thesaurus/concept1545 [http]PercepcióncompromisoContract lawSocial networksSocial mediaWord-of-mouth advertisingAdvertising//vocabularies.unesco.org/thesaurus/concept6382 [http]Management of Technology and Innovation//vocabularies.unesco.org/thesaurus/concept5657 [http]Servicio alimentarioMotivation (Psychology)Redes socialesMarketingCompromise (Law)//id.loc.gov/authorities/subjects/sh85099708 [http]Food servicesReferidos de negociosConsumer behaviourComercio electrónicoConsumo de alimentosExperienciaConsumo alimenticio//id.loc.gov/authorities/subjects/sh85113249 [http]e-WOMMotivaciónL81 e-Commerce//id.loc.gov/authorities/subjects/sh85029459 [http]engagementCompromisoViral marketingEconomics and EconometricsMedios socialesCompromiso (Derecho)//id.loc.gov/authorities/subjects/sh85087562 [http]Electronic commerceComportamiento del consumidor//vocabularies.unesco.org/thesaurus/concept5324 [http]PublicidadL83 Restaurants//id.loc.gov/authorities/subjects/sh2003011474 [http]motivação//vocabularies.unesco.org/thesaurus/concept1532 [http]Redes de informaciónInformation networksFood consumption//id.loc.gov/authorities/subjects/sh85046433 [http]Business and International ManagementcomprometimentoExperienceMotivación (Psicología)//vocabularies.unesco.org/thesaurus/concept390 [http]MotivationMercadeo viralDerecho de los contratosMotivacionesUNESCO::CIENCIAS ECONÓMICASBusiness referrals//vocabularies.unesco.org/thesaurus/concept17089 [http]Medios de comunicación de masasrestaurantesCommitment//vocabularies.unesco.org/thesaurus/concept15060 [http]PerceptionMotivationsFinance//id.loc.gov/authorities/subjects/sh94006574 [http]Mass media
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Structural contacts in subduction complexes and their tectonic significance: the Late Palaeozoic coastal accretionary wedge of central Chile

2007

Understanding the contact between the very low-grade metagreywacke of the Eastern Series and high-pressure metamorphosed schist of the Western Series in the Late Palaeozoic accretionary wedge of central Chile is fundamental for the understanding of the evolution of ancient accretionary wedges. We show the progressive development of structures and finite strain from the least deformed rocks in the eastern part of the Eastern Series of the accretionary wedge to high-pressure schist of the Western Series at the Pacific coast. Upright chevron folds of sedimentary layering are associated with an axial-plane foliation, S1. As the F1 folds became slightly overturned to the west, S1 was folded abou…

010506 paleontologyAccretionary wedgePaleozoicMineralogy010502 geochemistry & geophysics55101 natural sciencesPaleontologyJungpaläozoikumVAE 50014. Life underwaterChile0105 earth and related environmental sciencesVariszisch-herzynische Orogene {Geologie}SubductionSchistChile {Geologie}Geotektonische Entwicklung der Erdkruste {Geologie}GeologyTectonicsShear (geology)38.36AkkretionskeilFoliation (geology)Sedimentary rockVEX 500VAE 812Geology
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Temperature and pH define the realised niche space of arbuscular mycorrhizal fungi

2021

Made available in DSpace on 2021-06-25T11:52:41Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-03-04 European Regional Development Fund (Centre of Excellence EcolChange) University of Tartu (Estonian Research Council ) Moscow State University Natural Sciences and Engineering Research Council of Canada Discovery Grant Russian Science Foundation Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Swedish Research Council (Vetenskapsradet) The arbuscular mycorrhizal (AM) fungi are a globally distributed group of soil organisms that play critical roles in ecosystem function. However, the ecological niches of individual AM fungal taxa are poorly understood. We collected > 300 s…

0106 biological sciences0301 basic medicinearbuscular mycorrhizal fungi ecological niche molecular taxa niche optimum niche width pH phylogenetic correlation temperature Ecosystem Fungi Hydrogen-Ion Concentration Phylogeny Soil Soil Microbiology Temperature MycorrhizaePhylogéniePhysiologyPlant Science01 natural sciencesSoilhttp://aims.fao.org/aos/agrovoc/c_5963http://aims.fao.org/aos/agrovoc/c_33550MycorrhizaePhylogenySoil MicrobiologyAbiotic componentbiologyEcologypHTemperatureHydrogen-Ion ConcentrationPhytoécologieniche widthTempérature du solpH de la rhizosphèreF40 - Écologie végétaleAcaulosporaceaeNichearbuscular mycorrhizal fungi03 medical and health scienceshttp://aims.fao.org/aos/agrovoc/c_1415699873241Glomeraceaeecological nichehttp://aims.fao.org/aos/agrovoc/c_13325Relative species abundanceChampignon du solArbuscular mycorrhiza [EN]EcosystemEcological nichehttp://aims.fao.org/aos/agrovoc/c_5b384c25phylogenetic correlationFungiP34 - Biologie du solmolecular taxatemperatureAquatic Ecologyfacteurs abiotiques15. Life on landbiology.organism_classificationniche optimum030104 developmental biology13. Climate actionBiological dispersalhttp://aims.fao.org/aos/agrovoc/c_7197http://aims.fao.org/aos/agrovoc/c_36313010606 plant biology & botanyGigasporaceae
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sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots

2021

Datos disponibles en https://github.com/fmsabatini/sPlotOpen_Code

0106 biological sciencesBiomeBos- en LandschapsecologieBiodiversityDIVERSITYFOREST VEGETATION01 natural sciences//purl.org/becyt/ford/1 [https]http://aims.fao.org/aos/agrovoc/c_915Abundance (ecology)big dataVegetation typePHYTOSOCIOLOGICAL DATABASEparcelleForest and Landscape Ecologyfunctional traitsvascular plantsbig data; biodiversity; biogeography; database; functional traits; macroecology; vascular plants; vegetation plotsbig data ; biodiversity ; biogeography ; database ; functional traits ; macroecology ; vascular plants ; vegetation plotsMacroecologyhttp://aims.fao.org/aos/agrovoc/c_3860databasebiodiversity[SDV.EE]Life Sciences [q-bio]/Ecology environmentGlobal and Planetary ChangeEcologyEcologyhttp://aims.fao.org/aos/agrovoc/c_33949vascular plantVegetationF70 - Taxonomie végétale et phytogéographiePE&RCVegetation plotGeography580: Pflanzen (Botanik)Ecosystems Researchhttp://aims.fao.org/aos/agrovoc/c_25409Diffusion de l'informationmacroecologyPlantenecologie en NatuurbeheerVegetatie Bos- en LandschapsecologieBiodiversitéARCHIVECommunauté végétalehttp://aims.fao.org/aos/agrovoc/c_24420Evolutionhttp://aims.fao.org/aos/agrovoc/c_fdfbb37f[SDE.MCG]Environmental Sciences/Global ChangesBiogéographieGRASSLAND VEGETATIONPlant Ecology and Nature Conservation[SDV.BID]Life Sciences [q-bio]/Biodiversity010603 evolutionary biologyBehavior and SystematicsCouverture végétale577: ÖkologiePLANThttp://aims.fao.org/aos/agrovoc/c_8176//purl.org/becyt/ford/1.6 [https]/dk/atira/pure/core/keywords/biologyfunctional traitBiologyEcology Evolution Behavior and SystematicsVegetatiebiogeographyVegetation010604 marine biology & hydrobiology/dk/atira/pure/core/keywords/559922418Impact sur l'environnementDRY GRASSLANDSPlant community15. Life on landVégétationWETLAND VEGETATIONhttp://aims.fao.org/aos/agrovoc/c_45b5a34avegetation plotsEarth and Environmental SciencesUNIVERSITYPhysical geographyVegetation Forest and Landscape Ecology[SDE.BE]Environmental Sciences/Biodiversity and Ecologydonnées ouverteshttp://aims.fao.org/aos/agrovoc/c_32514Global and Planetary Change
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Bayesian spatio-temporal discard model in a demersal trawl fishery

2014

Spatial management of discards has recently been proposed as a useful tool for the protection of juveniles, by reducing discard rates and can be used as a buffer against management errors and recruitment failure. In this study Bayesian hierarchical spatial models have been used to analyze about 440 trawl fishing operations of two different metiers, sampled between 2009 and 2012, in order to improve our understanding of factors that influence the quantity of discards and to identify their spatio-temporal distribution in the study area. Our analysis showed that the relative importance of each variable was different for each metier, with a few similarities. In particular, the random vessel eff…

0106 biological sciencesPerteSpatial correlationhttp://aims.fao.org/aos/agrovoc/c_28840Computer scienceProcess (engineering)Bayesian probabilitySede Central IEOAquatic ScienceOceanography01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_2173Abundance (ecology)Component (UML)http://aims.fao.org/aos/agrovoc/c_4438Pesquerías14. Life underwaterM11 - Production de la pêchehttp://aims.fao.org/aos/agrovoc/c_7881Ecology Evolution Behavior and SystematicsChalutageU10 - Informatique mathématiques et statistiques010604 marine biology & hydrobiologyhttp://aims.fao.org/aos/agrovoc/c_2801204 agricultural and veterinary sciencesDiscardsFisheryRessource marineVariable (computer science)Théorie bayésienneM40 - Écologie aquatique040102 fisheries0401 agriculture forestry and fisherieshttp://aims.fao.org/aos/agrovoc/c_2942Fisheries managementPêche démersale
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Nuclear protein kinases: still enigmatic components in plant cell signalling

2010

International audience; Plants constantly face changing conditions in their environment. Unravelling the transduction mechanisms from signal perception at the plasma membrane level down to gene expression in the nucleus is a fascinating challenge. Protein phosphorylation, catalysed by protein kinases, is one of the major posttranslational modifications involved in the specificity, kinetic(s) and intensity of a signal transduction pathway. Although commonly assumed, the involvement of nuclear protein kinases in signal transduction is often poorly characterized. In particular, both their regulation and mode of action remain to be elucidated and may lead to the unveiling of new original mechan…

0106 biological sciencesPhysiologyp38 mitogen-activated protein kinasesPROTEIN KINASENUCLEAR TRANSLOCATIONPlant ScienceBiology01 natural sciencesSecond Messenger Systems03 medical and health sciencesNCK1Protein phosphorylationNuclear proteinNUCLEUS030304 developmental biologyPROTEIN (DE)PHOSPHORYLATION0303 health sciencesGRB10SIGNAL TRANSDUCTIONNuclear ProteinsAutophagy-related protein 13PlantsCell biology[SDV.BV.PEP]Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacyBiochemistryCDC37Mitogen-activated protein kinasebiology.proteinProtein Kinases010606 plant biology & botany
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Fishery-dependent and -independent data lead to consistent estimations of essential habitats

2016

AbstractSpecies mapping is an essential tool for conservation programmes as it provides clear pictures of the distribution of marine resources. However, in fishery ecology, the amount of objective scientific information is limited and data may not always be directly comparable. Information about the distribution of marine species can be derived from two main sources: fishery-independent data (scientific surveys at sea) and fishery-dependent data (collection and sampling by observers in commercial vessels). The aim of this paper is to compare whether these two different sources produce similar, complementary, or different results. We compare them in the specific context of identifying the Es…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Biodiversité et Ecologiehabitatmodélisation spatialehttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_38127Scyliorhinus caniculamodèle hiérarchiqueSpatial statisticsEcologymodèle de distributionSampling (statistics)Contrast (statistics)Cross-validationModélisation et simulationGeographyHabitatGestion des pêchesModeling and Simulationhttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117survey designMarine conservationSpecies Distribution ModelsEcology (disciplines)Bayesian probabilityEtmopterus spinaxenquête statistiqueDonnée sur les pêchesmodèle spatiotemporelSede Central IEOContext (language use)Aquatic ScienceDistribution des populationsBayesian hierarchical models010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026elasmobranchsBiodiversity and Ecologyélasmobrancheétude comparativeBayesian hierarchical models;Cross-validation;Species Distribution Models;Spatial statistics;INLA;elasmobranchs ; survey designINLA14. Life underwaterspecies distribution modelsEcology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_6113collecte des donnéesÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_29788http://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologyGestion et conservation des pêchescross validation[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationmodèle bayésienFisheryM01 - Pêche et aquaculture - Considérations généraleshttp://aims.fao.org/aos/agrovoc/c_2a75d27eThéorie bayésienneM40 - Écologie aquatiqueSpatial ecologyhttp://aims.fao.org/aos/agrovoc/c_2942[SDE.BE]Environmental Sciences/Biodiversity and Ecologyvalidation croiséeElasmobranchii
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Modelling sensitive elasmobranchs habitat

2013

Basic information on the distribution and habitat preferences of ecologically important species is essential for their management and protection. In the Mediterranean Sea there is increasing concern over elasmobranch species because their biological (ecological) characteristics make them highly vulnerable to fishing pressure. Their removal could affect the structure and function of marine ecosystems, inducing changes in trophic interactions at the community level due to the selective elimination of predators or prey species, competitors and species replacement. In this study Bayesian hierarchical spatial models are used to map the sensitive habitats of the three most caught elasmobranch spe…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Etmopterus spinaxhabitatAquatic ScienceDistribution des populationshttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus010603 evolutionary biology01 natural sciencesElasmobranch habitatPredationMediterranean seahttp://aims.fao.org/aos/agrovoc/c_38127http://aims.fao.org/aos/agrovoc/c_3041Scyliorhinus caniculaMediterranean SeaVulnerable speciesMarine ecosystem14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Trophic levelhttp://aims.fao.org/aos/agrovoc/c_6113biologyEcologyU10 - Informatique mathématiques et statistiques010604 marine biology & hydrobiologyScyliorhinus caniculabiology.organism_classificationBiologie marinetechnique de prévisionBayesian hierarchical spatial modelSpecies distribution modelingFisheryHabitatThéorie bayésienneGaleus melastomusM40 - Écologie aquatiquehttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117Elasmobranchii
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