Search results for "Steri"

showing 10 items of 2646 documents

Carvacrol activated biopolymeric foam: An effective packaging system to control the development of spoilage and pathogenic bacteria on sliced pumpkin…

2021

Abstract A commercial biodegradable starch-based polymer (Mater-Bi) was activated with carvacrol to develop a biodegradable and compostable polymer to be used in food packaging. Based on previous tests, carvacrol was added at 20 % weight of foam. MB foams, with and without carvacrol, were tested for their morphological characteristics, mechanical tests and kinetics of carvacrol release under refrigerated storage conditions. Carvacrol slightly increased the porosity of the foams, induced a reduction of the compressive elastic modulus (Ecom) of foamed MB from 6 to ∼ 3.4 MPa and a decrease of the tensile elastic modulus from ∼70 MPa to ∼16.5 MPa. Carvacrol release from the foam at 4 °C was alm…

0106 biological sciencesMicrobiology (medical)Polymers and PlasticsMelonStarchFood spoilageActive packagingBiopolymeric foamsSettore AGR/04 - Orticoltura E FloricolturaSpoilage and pathogenic bacteriamedicine.disease_cause01 natural sciencesAntibacterial propertiesBiomaterialsFood packagingchemistry.chemical_compound0404 agricultural biotechnologyListeria monocytogenesCarvacrol010608 biotechnologymedicineCarvacrolFood scienceSafety Risk Reliability and QualityFood model systemsbiologyChemistrySettore ING-IND/34 - Bioingegneria Industriale04 agricultural and veterinary sciencesbiology.organism_classification040401 food scienceFood packagingSettore ING-IND/22 - Scienza E Tecnologia Dei MaterialiIn vivo activityBacteriaSettore AGR/16 - Microbiologia AgrariaFood ScienceFood Packaging and Shelf Life
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Seed germination and seedling allogamy in Rosmarinus officinalis: the costs of inbreeding.

2018

Self‐pollination by geitonogamy is likely in self‐compatible plants that simultaneously expose a large number of flowers to pollinators. However, progeny of these plants is often highly allogamous. Although mechanisms to increase cross‐pollination have been identified and studied, their relative importance has rarely been addressed simultaneously in plant populations. We used Rosmarinus officinalis to explore factors that influence the probability of self‐fertilisation due to geitonogamy or that purge its consequences, focusing on their effects on seed germination and allogamy rate. We experimentally tested the effect of geitonogamy on the proportion of filled seeds and how it influences ge…

0106 biological sciencesPollinationAllogamyGeitonogamyReproductive biologyGerminationPlant ScienceFlowersSelf-FertilizationBiologyAllogamy010603 evolutionary biology01 natural sciencesPopulation densityGeitonogamyPollinatorInbreedingPollinationEcology Evolution Behavior and Systematicsfungifood and beveragesGeneral MedicineQK0900biology.organism_classificationSeed germinationRosmarinusHorticultureGerminationSeedlingSeedlingsSeedsQK0926Hybridization GeneticMale‐sterile flowersInbreeding010606 plant biology & botanyPlant biology (Stuttgart, Germany)
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The WtmsDW Locus on Wheat Chromosome 2B Controls Major Natural Variation for Floret Sterility Responses to Heat Stress at Booting Stage

2021

Heat stress at booting stage causes significant losses to floret fertility (grain set) and hence yield in wheat (Triticum aestivum L.); however, there is a lack of well-characterized sources of tolerance to this type of stress. Here, we describe the genetic analysis of booting stage heat tolerance in a cross between the Australian cultivars Drysdale (intolerant) and Waagan (tolerant), leading to the definition of a major-effect tolerance locus on the short arm of chromosome 2B, Wheat thermosensitive male sterile Drysdale/Waagan (WtmsDW). WtmsDW offsets between 44 and 65% of the losses in grain set due to heat, suggesting that it offers significant value for marker-assisted tolerance breedin…

0106 biological sciencesSterilityQTLLocus (genetics)Plant ScienceQuantitative trait locusBiologylcsh:Plant culturemale sterility01 natural sciencesGenetic analysis03 medical and health sciencesfloret sterilitywheatlcsh:SB1-1110CultivarAllele030304 developmental biologyOriginal Research0303 health sciencesauricle distanceChromosomefood and beveragesheat toleranceDwarfingHorticulture010606 plant biology & botanyFrontiers in Plant Science
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Introduction to the Orders and Families of Uncertain Placement of this Volume

2016

The present volume of this book series is the first of two to (almost) complete the treatment of the Asterids which started with Vol. VI (Cornales, Ericales, 2004), Vol. VII (Lamiales, 2004) and Vol. VIII (Asterales, 2007). It contains the orders Boraginales, Garryales and Solanales of the Lamiids (Asterids I) as well as three unplaced families of that clade, i.e. Vahliaceae, Icacinaceae and Metteniusaceae, and the orders Aquifoliales, Escalloniales, Bruniales, Dipsacales and Paracryphiales of the Campanulids (Asterids II).

0106 biological sciencesbiologyCornalesAsteridsDipsacalesbiology.organism_classification010603 evolutionary biology01 natural sciencesSolanalesAsteralesBoraginalesGarryalesBotanyEricales010606 plant biology & botany
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Vegetation structure and greenness in Central Africa from Modis multi-temporal data.

2013

African forests within the Congo Basin are generally mapped at regional scale as broad-leaved evergreen forests, with a main distinction between terra-firme and swamp forests types. At the same time, commercial forest inventories, as well as national maps, have highlighted a strong spatial heterogeneity of forest types. A detailed vegetation map generated using consistent methods is needed to inform decision makers about spatial forest organisation and theirs relationships with environmental drivers in the context of global change. We propose a multi-temporal remotely sensed data approach to characterize vegetation types using vegetation index annual profiles. The classifications identified…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28568Time Factors010504 meteorology & atmospheric sciencesDatabases FactualRainEcological Parameter Monitoringhttp://aims.fao.org/aos/agrovoc/c_900018001 natural sciencesTrees[ SDE ] Environmental Sciencesremote sensinghttp://aims.fao.org/aos/agrovoc/c_3062K01 - Foresterie - Considérations généralesDynamique des populationsForêt tropicale humidehttp://aims.fao.org/aos/agrovoc/c_6498http://aims.fao.org/aos/agrovoc/c_29008geography.geographical_feature_categoryCentral AfricaEcologyInventaire forestierVegetationArticlesClassificationSpatial heterogeneity[ SDE.MCG ] Environmental Sciences/Global ChangesDeciduoushttp://aims.fao.org/aos/agrovoc/c_7976CongoP31 - Levés et cartographie des solsForêt[SDE]Environmental SciencesSeasonshttp://aims.fao.org/aos/agrovoc/c_1432General Agricultural and Biological Scienceshttp://aims.fao.org/aos/agrovoc/c_34911Research ArticleF40 - Écologie végétaleTélédétectionClimate Change[SDE.MCG]Environmental Sciences/Global ChangesSpectroscopie infrarougeContext (language use)69Typologie010603 evolutionary biologySwampGeneral Biochemistry Genetics and Molecular BiologyCarbon Cycle[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environmentHumansAfrica Centralhttp://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_1344http://aims.fao.org/aos/agrovoc/c_8176[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmenthttp://aims.fao.org/aos/agrovoc/c_6111Ecosystem0105 earth and related environmental sciencesChangement climatiquegeographyCartographiehttp://aims.fao.org/aos/agrovoc/c_24174Enhanced vegetation index15. Life on landEvergreenVégétationStructure du peuplement13. Climate actionCouvert forestierPhysical geographyU30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_1653tropical rainforestTropical rainforest
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Sterol and ecdysteroids profiles of Serratula tinctoria (L.) : plant and cell cultures producing steroids

1993

Abstract Cell suspension cultures have been obtained from Serratula tinctoria, a plant producing ecdysteroids. Sterol profiles and ecdysteroid contents have been analysed and compared in plants and cell cultures. In particular, the composition of free and esterified sterols was investigated using appropriate analytical techniques. In plants, esterified sterols were more abundant (50–70% of the total sterol) than in cell cultures (13–36%). A selectivity for sterol esterification was noted: in plants, the triterpenes (as amyrins) were esterified, whereas it was the 4-desmethylsterols (sitosterol and cholesterol) in cell cultures. Ecdysteroids were present in higher quantities in plant (0.1–1.…

0106 biological sciencesmedicine.medical_treatment[SDV]Life Sciences [q-bio]LathosterolBiology01 natural sciencesBiochemistrySteroidTerpene03 medical and health scienceschemistry.chemical_compoundSerratulapolycyclic compoundsmedicineMolecular BiologyComputingMilieux_MISCELLANEOUS030304 developmental biology0303 health sciencesEcdysteroidCholesterolfungibiology.organism_classificationSterolSterol esterificationchemistryBiochemistryInsect Sciencelipids (amino acids peptides and proteins)010606 plant biology & botany
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Consistent Clustering of Elements in Large Pairwise Comparison Matrices

2018

[EN] In multi-attribute decision making the number of decision elements under consideration may be huge, especially for complex, real-world problems. Typically these elements are clustered and then the clusters organized hierarchically to reduce the number of elements to be simultaneously handled. These decomposition methodologies are intended to bring the problem within the cognitive ability of decision makers. However, such methodologies have disadvantages, and it may happen that such a priori clustering is not clear, and/or the problem has previously been addressed without any grouping action. This is the situation for the case study we address, in which a panel of experts gives opinions…

0209 industrial biotechnologyAHP0211 other engineering and technologiesAnalytic hierarchy process02 engineering and technologycomputer.software_genreWater distribution system (WDS)Pairwise comparisonMatrix (mathematics)020901 industrial engineering & automationSettore ING-IND/17 - Impianti Industriali MeccaniciDecomposition (computer science)Cluster (physics)Cluster analysisMathematics021103 operations researchApplied MathematicsManagement and operation of a WDSComputational MathematicsIdentification (information)Miller’s magic number sevenA priori and a posterioriPairwise comparisonData miningMiller's magic number sevenMATEMATICA APLICADAcomputerDecision-making
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Fractional-Order System Identification of Viscoelastic Behavior: A Frequency Domain Based Experimental Study

2020

In this work, the fractional-order modeling of viscoelastic behavior is investigated based on measurement data in the frequency domain. For the results of two different test setups we apply existing parameter estimation algorithms designed for fractional-order transfer functions. These algorithms require a priori knowledge of the system structure including the commensurate order of differentiation. An iterative procedure is used to evaluate the influence of the unknown structure. The measured polymer samples show a viscoelastic stress response. We can show that integer-order models are not capable of capturing this behavior. For a set of predefined structures, the best obtained fractional-o…

0209 industrial biotechnologyComputer scienceFractional-order system02 engineering and technologyVariation of parametersTransfer functionViscoelasticitySet (abstract data type)Identification (information)020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringFrequency domainA priori and a posterioriAlgorithm2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)
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A novel clustering-based algorithm for solving spatially-constrained robotic task sequencing problems

2021

The robotic task sequencing problem (RTSP) appears in various forms across many industrial applications and consists of developing an optimal sequence of motions to visit a set of target points defined in a task space. Developing solutions to problems involving complex spatial constraints remains challenging due to the existence of multiple inverse kinematic solutions and the requirements for collision avoidance. So far existing studies have been limited to relaxed RTSPs involving a small number of target points and relatively uncluttered environments. When extending existing methods to problems involving greater spatial constraints and large sets of target points, they either require subst…

0209 industrial biotechnologyKinematicsClustering algorithmsService robotsComputer scienceTKComputation02 engineering and technologyKinematicsTask (project management)Reduction (complexity)Set (abstract data type)Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine020901 industrial engineering & automationoptimal planningSequential analysisRobotic task sequencingElectrical and Electronic EngineeringCluster analysisSequenceCollision avoidanceComputer Science ApplicationsControl and Systems EngineeringmanipulationTask analysisAutonomous inspectionTask analysisAlgorithmIEEE/ASME Transactions on Mechatronics
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VARIABLE SELECTION FOR NOISY DATA APPLIED IN PROTEOMICS

2014

International audience; The paper proposes a variable selection method for pro-teomics. It aims at selecting, among a set of proteins, those (named biomarkers) which enable to discriminate between two groups of individuals (healthy and pathological). To this end, data is available for a cohort of individuals: the biological state and a measurement of concentrations for a list of proteins. The proposed approach is based on a Bayesian hierarchical model for the dependencies between biological and instrumental variables. The optimal selection function minimizes the Bayesian risk, that is to say the selected set of variables maximizes the posterior probability. The two main contributions are: (…

0209 industrial biotechnologybusiness.industryComputer scienceInstrumental variablePosterior probabilityBayesian probabilityPattern recognitionFeature selection02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingLogistic regression01 natural sciences010104 statistics & probability020901 industrial engineering & automationCohortProbability distributionBayesian hierarchical modelingArtificial intelligence0101 mathematicsbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSelection (genetic algorithm)[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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