Search results for "COH"

showing 10 items of 8938 documents

How to Deal with Uninvited Guests in Wine: Copper and Copper-containing Oxidases

2020

Copper is one of the most frequently occurring heavy metals in must and wine. It is introduced by pesticides, brass fittings, and as copper sulphate for treatment of reductive off-flavors. At higher concentrations, copper has harmful effects on the wine. It contributes to the oxidation of wine ingredients, browning reactions, cloudiness, inhibition of microorganisms, and wine fermentation. Last but not least, there is also a danger to the consumer. At present, some physicochemical methods exist to reduce the copper content in must and wine, but they all have their shortcomings. A possible solution is the biosorption of metals by yeasts or lactobacilli. Copper can also reach must and wine in…

0106 biological sciencesTyrosinasechemistry.chemical_elementcopper <i>casse</i>wine browningPlant Science01 natural sciencesBiochemistry Genetics and Molecular Biology (miscellaneous)0404 agricultural biotechnologytannins010608 biotechnologyBrowningFood scienceBotrytis cinereaWineLaccaseFermentation in winemakinglcsh:TP500-660biologyChemistrybentoniteBiosorption04 agricultural and veterinary sciencesbiology.organism_classificationlcsh:Fermentation industries. Beverages. Alcohol040401 food scienceCopperphenoloxidasesFood SciencebiosorptionFermentation
researchProduct

Local Recruitment in the Greater Flamingo: A New Approach Using Capture- Mark-Recapture Data

1997

International audience; Although the establishment of new individuals in the breeding component of a population is an essential feature of population regulation, only a few attempts have been made to test biological hypotheses about recruitment. Most previous studies rely on ad hoc calculations or are flawed with unwarranted assumptions about survival. We use a recently developed approach, based on capture-mark-recapture, in which analysis of local recruitment is similar to a time-reversed analysis of survival. The basic data set consists of capture histories viewed in reverse order, with initial capture at year of birth, and subsequent observations corresponding to years when the animal ha…

0106 biological sciencescapture-mark-recapture mod- elsPopulation010603 evolutionary biology01 natural sciences010605 ornithologybreeding propensityMark and recapturereproductionage-specific breeding probabilitypopulation dynamicsfirst reproductioneducationEcology Evolution Behavior and SystematicsPhoenicopterus ruber roseuseducation.field_of_studyGreater FlamingobiologyEcologyMortality rateCapture mark recapturebiology.organism_classificationPhoenicopterus ruber roseusCohort[SDE]Environmental SciencesGreater flamingoAkaike information criterionprobability ofseniority probabilitylocal recruitment
researchProduct

Population dynamic consequences of delayed life-history effects

2002

Evidence from wildlife and human populations indicates that conditions during early development can have marked effects on the subsequent performance of individuals and cohorts. Likewise, the effects of maternal and, more generally, parental environments can be transferred among individuals between generations. These delayed life-history effects are found consistently and suggestions have been made that they can be one source of both variability and of delayed density dependence in population dynamics. Assessments of several different time series indicate that population variability and delayed density dependence are common and that understanding the mechanisms giving rise to them is crucia…

0106 biological scienceseducation.field_of_study010604 marine biology & hydrobiologyEcology (disciplines)PopulationMaternal effectBiology010603 evolutionary biology01 natural sciencesDensity dependenceCohort effectDelayed density dependenceApplied researchLife historyeducationEcology Evolution Behavior and SystematicsDemographyTrends in Ecology &amp; Evolution
researchProduct

Mechanisms of shrub encroachment into Northern Chihuahuan Desert grasslands and impacts of climate change investigated using a cellular automata model

2016

Arid and semiarid grasslands of southwestern North America have changed dramatically over the last 150 years as a result of woody plant encroachment. Overgrazing, reduced fire frequency, and climate change are known drivers of woody plant encroachment into grasslands. In this study, relatively sim- ple algorithms for encroachment factors (i.e., grazing, grassland fires, and seed dispersal by grazers) are proposed and implemented in the ecohydrological Cellular-Automata Tree Grass Shrub Simulator (CAT- GraSS). CATGraSS is used in a 7.3 km 2 rectangular domain located in central New Mexico along a zone of grassland to shrubland transition, where shrub encroachment is currently active. CATGraS…

0106 biological sciencesgeographyHerbivoreEcohydrologygeography.geographical_feature_category010504 meteorology & atmospheric sciencesEcologyved/biologySeed dispersalSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologiaved/biology.organism_classification_rank.speciesShrub encroachmentClimate change010603 evolutionary biology01 natural sciencesShrubAridGrasslandShrublandCA modelClimate changeEnvironmental scienceOvergrazing0105 earth and related environmental sciencesWater Science and TechnologyAdvances in Water Resources
researchProduct

Regional and Supra-Regional Coherence in Limnological Variabler

2009

Limnologists and water resources managers have traditionally perceived lakes as discrete geographical entities. This has resulted in a tendency for scientific lake studies to concentrate on lakes as individuals, with little connection either to each other or to large-scale driving forces. Since the 1990s, however, a shift in the prevailing paradigm has occurred, with lakes increasingly being seen as responding to regional, rather than local, driving forces. The seminal work on regional coherence in lake behaviour was that of Magnuson et al. (1990), who showed that many features of lakes within the same region respond coherently to drivers such as climate forcing and catchment processes. Fro…

0106 biological sciencesgeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesCatchment ModellingEcology010604 marine biology & hydrobiologyClimate ChangeDrainage basinClimate changeCoherence (statistics)Lake ModellingRadiative forcing01 natural sciencesWater resourcesSpatial coherence13. Climate actionNorth Atlantic oscillationBiological propertyddc:570Water QualityPhysical geography0105 earth and related environmental sciences
researchProduct

Wine Fermentation

2019

Currently wineries are facing new challenges due to actual market demands for creation of products exhibiting more individual flavors[...]

0106 biological scienceslcsh:TP500-660oenological enzymes<i>Lachancea</i>color intensityyeast hybrids04 agricultural and veterinary sciencesPlant Scienceprocess controllcsh:Fermentation industries. Beverages. Alcohol040401 food science01 natural sciencesBiochemistry Genetics and Molecular Biology (miscellaneous)metabolomics0404 agricultural biotechnologyextraction methods010608 biotechnologyphenolic content<i>Saccharomyces</i>sulfur compoundsFood ScienceFermentation
researchProduct

Optimization of Synthetic Media Composition for Kluyveromyces marxianus Fed-Batch Cultivation

2021

The Kluyveromyces marxianus yeast recently has gained considerable attention due to its applicability in high-value-added product manufacturing. In order to intensify the biosynthesis rate of a target product, reaching high biomass concentrations in the reaction medium is mandatory. Fed-batch processes are an attractive and efficient way how to achieve high cell densities. However, depending on the physiology of the particular microbial strain, an optimal media composition should be used to avoid by-product synthesis and, subsequently, a decrease in overall process effi-ciency. Thus, the aim of the present study was to optimise the synthetic growth medium and feeding solution compositions (…

0106 biological sciencesmodel predictive control (MPC)BiomassPlant Science<i>Kluyveromyces marxianus</i>; 2-phenylethanol; fed-batch; cultivation; bioreactor; model predictive control (MPC)01 natural sciencesBiochemistry Genetics and Molecular Biology (miscellaneous)03 medical and health scienceschemistry.chemical_compoundbioreactorKluyveromyces marxianusfed-batch010608 biotechnologyBioreactorFood science030304 developmental biology0303 health sciencesGrowth mediumlcsh:TP500-660biologyChemistrySubstrate (chemistry)biology.organism_classificationlcsh:Fermentation industries. Beverages. AlcoholYeastcultivationYield (chemistry)Composition (visual arts)<i>Kluyveromyces marxianus</i>Food Science2-phenylethanolFermentation
researchProduct

Gauge theory of the long-range proximity effect and spontaneous currents in superconducting heterostructures with strong ferromagnets

2017

We present the generalized quasiclassical theory of the long-range superconducting proximity effect in heterostructures with strong ferromagnets, where the exchange splitting is of the order of Fermi energy. In the ferromagnet the propagation of equal-spin Cooper pairs residing on the spin-split Fermi surfaces is shown to be governed by the spin-dependent Abelian gauge field which results either from the spin-orbital coupling or from the magnetic texture. This additional gauge field enters into the quasiclassical equations in superposition with the usual electromagnetic vector potential and results in the generation of spontaneous superconducting currents and phase shifts in various geometr…

02 engineering and technology01 natural sciencesSuperposition principleCondensed Matter::Superconductivity0103 physical sciencesProximity effect (superconductivity)Boundary value problemGauge theory010306 general physicsPhysicsSuperconductivityta114Condensed matter physicsJosephson effectMeissner effectFermi energy021001 nanoscience & nanotechnologyferromagnetismcoherence lengthQuantum electrodynamicsproximity effectCondensed Matter::Strongly Correlated ElectronsCooper pair0210 nano-technologyVector potentialPhysical Review B
researchProduct

Selective photocatalytic oxidation of aromatic alcohols in water by using P-doped g-C3N4

2018

A set of bare and P-doped graphitic carbon nitride (g-C3N4) photocatalysts has been prepared by thermal condensation of melamine, urea or thiourea. For the sake of comparison, a g-C3N4 sample obtained in the presence of cyanuric acid and thermally exfoliated C3N4 powders were also studied. The materials were physicochemically characterized and their photocatalytic activity was studied for the selective oxidation of benzyl alcohol (BA), 4-methoxy benzyl alcohol (4-MBA) and piperonyl alcohol (PA) in water suspension both under UV and visible light irradiation. The influence of the type and position of the substituents on conversion and selectivity to aldehyde was remarkable. The presence of P…

02 engineering and technology010402 general chemistryPhotochemistryAromatic alcohols01 natural sciencesAldehydeCatalysisCatalysichemistry.chemical_compoundPhotocatalysiAromatic alcoholPhotocatalysisG-C3N4General Environmental ScienceDoped carbon nitridechemistry.chemical_classification2300ChemistryProcess Chemistry and TechnologyGraphitic carbon nitride021001 nanoscience & nanotechnology0104 chemical sciencesThioureaBenzyl alcoholPhotocatalysisSelective oxidationSettore CHIM/07 - Fondamenti Chimici Delle Tecnologie0210 nano-technologyMelamineCyanuric acidSelectivityNuclear chemistryApplied Catalysis B: Environmental
researchProduct

Real-time biomechanical modeling of the liver using Machine Learning models trained on Finite Element Method simulations

2020

[EN] The development of accurate real-time models of the biomechanical behavior of different organs and tissues still poses a challenge in the field of biomechanical engineering. In the case of the liver, specifically, such a model would constitute a great leap forward in the implementation of complex applications such as surgical simulators, computed-assisted surgery or guided tumor irradiation. In this work, a relatively novel approach for developing such a model is presented. It consists in the use of a machine learning algorithm, which provides real-time inference, trained on tens of thousands of simulations of the biomechanical behavior of the liver carried out by the finite element me…

0209 industrial biotechnologyComputer scienceINGENIERIA MECANICA02 engineering and technologyMachine learningcomputer.software_genreField (computer science)020901 industrial engineering & automationArtificial IntelligenceEuclidean geometryMachine learning0202 electrical engineering electronic engineering information engineeringFinite element method Real timebusiness.industryWork (physics)General EngineeringCoherent point driftBiomechanical engineeringFinite element methodComputer Science ApplicationsRange (mathematics)Liver020201 artificial intelligence & image processingArtificial intelligenceBiomechanical modelingbusinesscomputer
researchProduct