Search results for "model [interaction]"

showing 10 items of 1495 documents

(R)-NODAGA-PSMA: A Versatile Precursor for Radiometal Labeling and Nuclear Imaging of PSMA-Positive Tumors

2015

Purpose The present study aims at developing and evaluating an urea-based prostate specific membrane antigen (PSMA) inhibitor suitable for labeling with 111In for SPECT and intraoperative applications as well as 68Ga and 64Cu for PET imaging. Methods The PSMA-based inhibitor-lysine-urea-glutamate-coupled to the spacer Phe-Phe-D-Lys(suberoyl) and functionalized with the enantiomerically pure prochelator (R)-1-(1-carboxy-3-carbotertbutoxypropyl)-4,7-carbotartbutoxymethyl)-1,4,7-triazacyclononane ((R)-NODAGA(tBu)3), to obtain (R)-NODAGA-Phe-Phe-D-Lys(suberoyl)-Lys-urea-Glu (CC34). CC34 was labeled with 111In, 68Ga and 64Cu. The radioconjugates were further evaluated in vitro and in vivo in LNC…

Glutamate Carboxypeptidase IIMaleBiodistributionPathologymedicine.medical_specialtylcsh:MedicineGallium RadioisotopesAcetatesurologic and male genital diseasesHeterocyclic Compounds 1-RingMicechemistry.chemical_compoundPharmacokineticsIn vivoLNCaPImage Processing Computer-AssistedTumor Cells CulturedGlutamate carboxypeptidase IImedicineAnimalsHumansTissue Distributionlcsh:ScienceIncubationMice Inbred BALB CMultidisciplinaryChemistrylcsh:RProstatic NeoplasmsXenograft Model Antitumor AssaysMolecular biologyIn vitroPositron-Emission TomographyAntigens SurfaceUreaFemalelcsh:QRadiopharmaceuticalsResearch ArticlePLOS ONE
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Long-Term Behavioral Programming Induced by Peripuberty Stress in Rats Is Accompanied by GABAergic-Related Alterations in the Amygdala

2014

Stress during childhood and adolescence is a risk factor for psychopathology. Alterations in γ-aminobutyric acid (GABA), the main inhibitory neurotransmitter in the brain, have been found following stress exposure and fear experiences and are often implicated in anxiety and mood disorders. Abnormal amygdala functioning has also been detected following stress exposure and is also implicated in anxiety and social disorders. However, the amygdala is not a unitary structure; it includes several nuclei with different functions and little is known on the potential differences the impact of early life stress may have on this system within different amygdaloid nuclei. We aimed here to evaluate pote…

Glutamate decarboxylaselcsh:MedicineNeural HomeostasisAnxietyBiochemistryMechanical Treatment of SpecimensBasal (phylogenetics)Behavioral Neuroscience0302 clinical medicineAdolescent PsychiatryMolecular Cell BiologyMedicine and Health SciencesPsychologyReceptorlcsh:Sciencegamma-Aminobutyric AcidCellular Stress ResponsesMammalsChild Psychiatry0303 health sciencesMultidisciplinaryBehavior AnimalGlutamate DecarboxylaseNeurochemistryNeurotransmittersAnimal ModelsAmygdalaAnxiety Disordersmedicine.anatomical_structureElectroporationSpecimen DisruptionCell ProcessesVertebratesAnxietyGABAergicmedicine.symptommedicine.drugResearch Articlemedicine.medical_specialtyComputer and Information SciencesNeural NetworksPsychological StressNeuropsychiatric DisordersBiologyResearch and Analysis MethodsAmygdalaRodentsgamma-Aminobutyric acid03 medical and health sciencesModel OrganismsDevelopmental NeuroscienceNeuropsychologyMental Health and PsychiatrymedicineAnimalsInterpersonal RelationsRats WistarPsychiatry030304 developmental biologyBehaviorMood Disorderslcsh:RBody WeightPubertyOrganismsBiology and Life SciencesCell Biologymedicine.diseaseReceptors GABA-ARatsMood disordersnervous systemSpecimen Preparation and TreatmentExploratory Behaviorlcsh:QMolecular NeuroscienceNeuroscience030217 neurology & neurosurgeryStress PsychologicalNeurosciencePLoS ONE
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Enhanced enzymatic activity of glycerol-3-phosphate dehydrogenase from the cryophilic Saccharomyces kudriavzevii

2014

During the evolution of the different species classified within the Saccharomyces genus, each one has adapted to live in different environments. One of the most important parameters that have influenced the evolution of Saccharomyces species is the temperature. Here we have focused on the study of the ability of certain species as Saccharomyces kudriavzevii to grow at low temperatures, in contrast to Saccharomyces cerevisiae. We observed that S. kudriavzevii strains isolated from several regions are able to synthesize higher amounts of glycerol, a molecule that has been shown to accumulate in response to freeze and cold stress. To explain this observation at the molecular level we studied t…

GlycerolApplied MicrobiologyEnzyme Metabolismlcsh:MedicineYeast and Fungal ModelsWineEthanol fermentationSaccharomycesBiochemistrychemistry.chemical_compoundMolecular cell biologyLow temperaturelcsh:ScienceCellular Stress ResponsesMultidisciplinarybiologyTemperatureEnzymesCold TemperatureBiochemistryMetabolic PathwaysOsmotic shockAlcoholic fermentationSaccharomyces kudriavzeviiResearch ArticleOsmotic shockSaccharomyces cerevisiaeDNA transcriptionGlycerolphosphate DehydrogenaseSaccharomyces cerevisiaeBiosynthesisMicrobiologyGenètica molecularSaccharomycesModel OrganismsGlycerolS. kudriavzeviiBiologyMicrobial MetabolismEnzyme Kineticslcsh:Rbiology.organism_classificationGlycerol-3-phosphate dehydrogenaseMetabolismchemistryFermentationFermentationlcsh:QGene expression
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Rapid adaptation of signaling networks in the fungal pathogen Magnaporthe oryzae

2019

Abstract Background One fundamental question in biology is how the evolution of eukaryotic signaling networks has taken place. “Loss of function” (lof) mutants from components of the high osmolarity glycerol (HOG) signaling pathway in the filamentous fungus Magnaporthe oryzae are viable, but impaired in osmoregulation. Results After long-term cultivation upon high osmolarity, stable individuals with reestablished osmoregulation capacity arise independently from each of the mutants with inactivated HOG pathway. This phenomenon is extremely reproducible and occurs only in osmosensitive mutants related to the HOG pathway – not in other osmosensitive Magnaporthe mutants. The major compatible so…

GlycerolMagnaportheved/biology.organism_classification_rank.speciesMutantGenomeSalt StressTranscriptome0302 clinical medicineOsmoregulationLoss of Function MutationGene Expression Regulation FungalGene Regulatory NetworksSuppressorReestablishment of osmoregulation0303 health sciencesbiologyMagnaporthe oryzaeRewiringAdaptation PhysiologicalRapid adaptationCell biologyMagnaportheOsmoregulationEpigeneticsGenome FungalBiotechnologySignal TransductionResearch Articlelcsh:QH426-470lcsh:BiotechnologyDioxolesFungal Proteins03 medical and health sciencesDrug Resistance Fungallcsh:TP248.13-248.65GeneticsPyrrolesModel organismGene030304 developmental biologyPlant DiseasesOsmotic concentrationved/biologyGene Expression ProfilingEvolution of signaling networksHOG pathwayOryzabiology.organism_classificationlcsh:Genetics030217 neurology & neurosurgery
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Global distributions of diazotrophs abundance and biomass - Depth integrated values computed from a collection of source datasets - Contribution to t…

2013

The MAREDAT atlas covers 11 types of plankton, ranging in size from bacteria to jellyfish. Together, these plankton groups determine the health and productivity of the global ocean and play a vital role in the global carbon cycle. Working within a uniform and consistent spatial and depth grid (map) of the global ocean, the researchers compiled thousands and tens of thousands of data points to identify regions of plankton abundance and scarcity as well as areas of data abundance and scarcity. At many of the grid points, the MAREDAT team accomplished the difficult conversion from abundance (numbers of organisms) to biomass (carbon mass of organisms). The MAREDAT atlas provides an unprecedente…

Go-Flo bottlesSalinityCAIBEX-IRV Kilo MoanaDiazotrophs total biomass as carbonUniform resource locator link to source data fileNitrateRichelia carbon per cellCTD/RosetteLatitude of eventNiskinRoger A RevelleTemperature waterCalculatedtop minbiomass as carbonTrichodesmium biomass as carbontotalbottom maxCTD Seabirdareal concentrationMultiple investigationsTemperatureDepth top/minRichelia abundance cellsCTD RosetteSeabirdCalothrixRoger A. RevelleTrichodesmiumTrichodesmium carbon per trichomeEarth System ResearchRichelia abundanceCAIBEX-IICalothrix abundanceMARine Ecosystem Model Intercomparison Project MAREMIPDiazotrophsLongitude of eventRichelia associated speciesSample methodIronChlorophyll total areal concentrationBottle NiskinwaterTrichodesmium abundance free trichomesMARine Ecosystem Model Intercomparison Project (MAREMIP)PhosphateSarmiento de GamboaSample commentCAIBOXUniform resource locator/link to source data filetotal biomass as carbonCalothrix carbon per cellHeterocyst biomassGo Flo bottlescoloniesDate/Time of eventChlorophyll totalTrichodesmium abundance totalRicheliaDEPTH waterTrichodesmium abundance coloniesMP-6biomassBottleDepthEvent labelDate Time of eventCAIBEX IIcarbon per cellMeasured at sea surfacefree trichomesMP-9CTDCalothrix abundance cellscarbon per trichomeTrichodesmium abundanceCalothrix associated speciesMP 9MP 6CAIBEX IcellsDepth bottom/maxassociated speciesHeterocyst
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Global distributions of diazotrophs nitrogen fixation rates - Depth integrated values computed from a collection of source datasets - Contribution to…

2013

The MAREDAT atlas covers 11 types of plankton, ranging in size from bacteria to jellyfish. Together, these plankton groups determine the health and productivity of the global ocean and play a vital role in the global carbon cycle. Working within a uniform and consistent spatial and depth grid (map) of the global ocean, the researchers compiled thousands and tens of thousands of data points to identify regions of plankton abundance and scarcity as well as areas of data abundance and scarcity. At many of the grid points, the MAREDAT team accomplished the difficult conversion from abundance (numbers of organisms) to biomass (carbon mass of organisms). The MAREDAT atlas provides an unprecedente…

Go-Flo bottlesSalinityCAIBEX-ITrichodesmium nitrogen fixation rateRV Kilo MoanaUniform resource locator link to source data fileNitrateCTD/RosetteLatitude of eventNiskinAlisRoger A RevelleTemperature waterwhole seawatertop minCalculatedbottom maxareal concentrationNitrogen fixation rateTemperatureDepth top/minCTD RosetteUnicellular cyanobacteria nitrogen fixation rateTrichodesmiumRoger A. RevelleNitrogen fixation rate integrated per dayEarth System ResearchMooring (long time)CAIBEX-IIMARine Ecosystem Model Intercomparison Project MAREMIPDiapalis 3Longitude of eventDiapalis 4Diapalis 5Sample methodIronwaterChlorophyll total areal concentrationBottle NiskinWater pumpMARine Ecosystem Model Intercomparison Project (MAREMIP)PhosphateWater sampleSarmiento de GamboaSample commentCAIBOXDiapalis 6Diapalis 7Uniform resource locator/link to source data fileDiapalis 9Go Flo bottlesNitrogen fixation rate whole seawaterintegrated per dayUnicellular cyanobacteriaDate/Time of eventChlorophyll totalMooring long timeDiapalis-7Diapalis-9Diapalis-3Diapalis-4Diapalis-5Diapalis-6DEPTH waterMP-6BottleDepthEvent labelDate Time of eventCAIBEX IIMeasured at sea surfaceMP-9MP 9MP 6CAIBEX IDepth bottom/maxHeterocyst nitrogen fixation rateHeterocyst
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Predicting bond betas using macro-finance variables

2019

We conduct in-sample and out-of-sample forecasting using the new approach of combining explanatory variables through complete subset regressions (CSR). We predict bond CAPM betas and bond returns conditioning on various macro-finance variables. We explore differences across long-term government bonds, investment grade corporate bonds, and high-yield corporate bonds. The CSR method performs well in predicting bond betas, especially in-sample, and, mainly high-yield bond betas when the focus is out-of-sample. Bond returns are less predictable than bond betas.

Government bondsYield (finance)Complete subset regressionsPredictor variablesModel confidence set0502 economics and businessEconometricsEconomicsCapital asset pricing model050207 economicsMacroRobustness (economics)FinanceBond betas Complete subset regressionsCorporate bondsGovernment bondsMacro-finance variablesModel confidence set050208 financebusiness.industryBond05 social sciencesInvestment (macroeconomics)Macro-finance variablesBond market indexGovernment (linguistics)Corporate social responsibilityBond betasBusinessCorporate bondsFinance
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Innovative and Sustainable Food Business Models

2019

Companies are called upon to solve the great challenges of the new millennium. The food sector, from this point of view, plays a strategic role. Poverty, malnutrition, hunger, climate change, and social inequalities are just some of the trends which the agri-food sector has to cope with. The digital transformation that companies will need to embrace to survive requires new ways of creating, thinking, and working with technology-driven tools to provide value for their businesses and customers. Digitization, whether it pertains to new technologies, the analysis of big data or the development of on-line and spatial applications, can contribute to achieving systemic food production transformati…

Grand challengeFood industryEmerging technologiesbusiness.industrySupply chainBig dataDigital transformationGrand challengesBusiness modelSustainabilitySustainabilitySustainable agricultureBusiness model; Business model innovation; Food industry; Grand challenges; SustainabilityBusiness model innovationbusinessIndustrial organizationBusiness modelGrand Challenges
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Transformation of UML models to CSP : a case study for graph transformation tools

2008

Graph transformation provides an intuitive mechanism for capturing model transformations. In the current paper, we investigate and compare various graph transformation tools using a compact practical model transformation case study carried out as part of the AGTIVE 2007 Tool Contest [22]. The aim of this case study is to generate formal CSP processes from high-level UML activity diagrams, which enables to carry out mathematical analysis of the system under design.

Graph rewritingTransformation (function)Current (mathematics)Unified Modeling LanguageProgramming languageCarry (arithmetic)Model transformationActivity diagramcomputer.software_genrecomputerAlgorithmcomputer.programming_languageMathematicsProceedrings of the third international symposium on Applications of Graph Transformations with Industrial Relevance (AGTIVE 2007), October 10-12, 2007, Kassel, Germany
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A survey and comparison of transformation tools based on the transformation tool contest

2014

Model transformation is one of the key tasks in model-driven engineering and relies on the efficient matching and modification of graph-based data structures; its sibling graph rewriting has been used to successfully model problems in a variety of domains. Over the last years, a wide range of graph and model transformation tools have been developed – all of them with their own particular strengths and typical application domains. In this paper, we give a survey and a comparison of the model and graph transformation tools that participated at the Transformation Tool Contest 2011. The reader gains an overview of the field and its tools, based on the illustrative solutions submitted to a Hello…

Graph rewritingbusiness.industryComputer scienceModel transformationTool ContestIR-88463METIS-300205GROOVEData structurecomputer.software_genreCONTESTTransformation ToolsTool ContestSurveyGROOVESoftwareGraph (abstract data type)EWI-24063Data miningSoftware engineeringbusinessSurveycomputerSoftwareTransformation Toolscomputer.programming_languageScience of computer programming
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