Search results for "Quantitative Biology"

showing 10 items of 1025 documents

"21-B2_3" of "Multiplicity dependence of light (anti-)nuclei production in p-Pb collisions at $\sqrt{s_{\rm{NN}}}$ = 5.02 TeV"

2019

Coalescence parameter $B_2$ as a function of $p_{\mathrm{T}}$ in the 20-40% V0A multiplicity class

$B_{2}$Quantitative Biology::Populations and Evolution
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"20-B2_2" of "Multiplicity dependence of light (anti-)nuclei production in p-Pb collisions at $\sqrt{s_{\rm{NN}}}$ = 5.02 TeV"

2019

Coalescence parameter $B_2$ as a function of $p_{\mathrm{T}}$ in the 10-20% V0A multiplicity class

$B_{2}$Quantitative Biology::Populations and Evolution
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"22-B2_4" of "Multiplicity dependence of light (anti-)nuclei production in p-Pb collisions at $\sqrt{s_{\rm{NN}}}$ = 5.02 TeV"

2019

Coalescence parameter $B_2$ as a function of $p_{\mathrm{T}}$ in the 40-60% V0A multiplicity class

$B_{2}$Quantitative Biology::Populations and Evolution
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"19-B2_1" of "Multiplicity dependence of light (anti-)nuclei production in p-Pb collisions at $\sqrt{s_{\rm{NN}}}$ = 5.02 TeV"

2019

Coalescence parameter $B_2$ as a function of $p_{\mathrm{T}}$ in the 0-10% V0A multiplicity class

$B_{2}$Quantitative Biology::Populations and Evolution
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"23-B2_5" of "Multiplicity dependence of light (anti-)nuclei production in p-Pb collisions at $\sqrt{s_{\rm{NN}}}$ = 5.02 TeV"

2019

Coalescence parameter $B_2$ as a function of $p_{\mathrm{T}}$ in the 60-100% V0A multiplicity class

$B_{2}$Quantitative Biology::Populations and Evolution
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On the thermodynamic origin of metabolic scaling

2018

The origin and shape of metabolic scaling has been controversial since Kleiber found that basal metabolic rate of animals seemed to vary as a power law of their body mass with exponent 3/4, instead of 2/3, as a surface-to-volume argument predicts. The universality of exponent 3/4 -claimed in terms of the fractal properties of the nutrient network- has recently been challenged according to empirical evidence that observed a wealth of robust exponents deviating from 3/4. Here we present a conceptually simple thermodynamic framework, where the dependence of metabolic rate with body mass emerges from a trade-off between the energy dissipated as heat and the energy efficiently used by the organi…

0106 biological sciences0301 basic medicineFOS: Physical scienceslcsh:Medicine92B05010603 evolutionary biology01 natural sciencesPower lawArticle03 medical and health sciencesFractalPhysics - Biological PhysicsStatistical physicslcsh:ScienceQuantitative Biology - Populations and EvolutionAdditive modelScalingMathematicsMultidisciplinarylcsh:RPopulations and Evolution (q-bio.PE)Universality (dynamical systems)030104 developmental biologyBiological Physics (physics.bio-ph)13. Climate actionFOS: Biological sciencesEctothermBasal metabolic rateExponentlcsh:QScientific Reports
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Narrow genetic base in forest restoration with holm oak (Quercus ilex L.) in Sicily

2007

International audience; In order to empirically assess the effect of actual seed sampling strategy on genetic diversity of holm oak (Quercus ilex) forestations in Sicily, we have analysed the genetic composition of two seedling lots (nursery stock and plantation) and their known natural seed origin stand by means of six nuclear microsatellite loci. Significant reduction in genetic diversity and significant difference in genetic composition of the seedling lots compared to the seed origin stand were detected. The female and the total effective number of parents were quantified by means of maternity assignment of seedlings and temporal changes in allele frequencies. Extremely low effective ma…

0106 biological sciencesQuercus ilex / plantation / genetic diversity / effective population size / microsatelliteForest managementmedicine.disease_cause010603 evolutionary biology01 natural sciencesGenetic diversityForest restorationEffective population sizeEffective population sizePollenmedicineQuantitative Biology - Populations and EvolutionPlantationGenetic diversity[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]EcologybiologySettore BIO/02 - Botanica SistematicaPopulations and Evolution (q-bio.PE)SowingMicrosatellitefood and beveragesForestryForestry15. Life on landbiology.organism_classificationFagaceaeQuercus ilexAgronomySeedlingFOS: Biological sciences010606 plant biology & botany
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Dynamic complexities in host-parasitoid interaction

1999

In the 1970s ecological research detected chaos and other forms of complex dynamics in simple population dynamics models, initiating a new research tradition in ecology. However, the investigations of complex population dynamics have mainly concentrated on single populations and not on higher dimensional ecological systems. Here we report a detailed study of the complicated dynamics occurring in a basic discrete-time model of host-parasitoid interaction. The complexities include (a) non-unique dynamics, meaning that several attractors coexist, (b) basins of attraction (defined as the set of the initial conditions leading to a certain type of an attractor) with fractal properties (pattern of…

0106 biological sciencesStatistics and ProbabilityEcology (disciplines)PopulationChaoticBiologyBifurcation diagram010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular Biologylaw.invention03 medical and health sciencesFractalControl theorylawIntermittencyAttractorQuantitative Biology::Populations and EvolutionStatistical physicseducation030304 developmental biology0303 health scienceseducation.field_of_studyGeneral Immunology and MicrobiologyApplied MathematicsGeneral MedicineComplex dynamicsModeling and SimulationGeneral Agricultural and Biological SciencesJournal of theoretical biology
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Effects of patch number and dispersal patterns on population dynamics and synchrony.

2000

In this paper, we examine the effects of patch number and different dispersal patterns on dynamics of local populations and on the level of synchrony between them. Local population renewal is governed by the Ricker model and we also consider asymmetrical dispersal as well as the presence of environmental heterogeneity. Our results show that both population dynamics and the level of synchrony differ markedly between two and a larger number of local populations. For two patches different dispersal rules give very versatile dynamics. However, for a larger number of local populations the dynamics are similar irrespective of the dispersal rule. For example, for the parameter values yielding stab…

0106 biological sciencesStatistics and ProbabilityPopulationPopulation DynamicsBiology010603 evolutionary biology01 natural sciencesPopulation densityModels BiologicalGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesQuantitative Biology::Populations and EvolutionAnimalsLocal populationPopulation dynamicseducation030304 developmental biologyPopulation Density0303 health scienceseducation.field_of_studyGeneral Immunology and MicrobiologyEcologyApplied MathematicsHigh intensityDynamics (mechanics)General MedicineRicker modelModeling and SimulationBiological dispersalGeneral Agricultural and Biological SciencesJournal of theoretical biology
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Non-linear biological responses to disturbance: consequences on population dynamics

2003

Abstract We assessed how non-linear biological responses to environmental noise, or “noise filtering”, impact the spectra of density-dependent population dynamics, and the correlation between noise and population dynamics. The noise was assumed to affect population growth rate in a discrete-time population model by Hassell [J. Anim. Ecol. 44 (1975) 283–295] where the population growth rate was linked to the environment with an optimum type filter. When compared to unfiltered noise, the filtered noise can distort the stationary distribution of population values. The optimum type filter can make cyclic population dynamics more regular and low population values can become more frequent or rare…

0106 biological scienceseducation.field_of_study010604 marine biology & hydrobiologyEcological ModelingPopulation sizePopulationFilter (signal processing)010603 evolutionary biology01 natural sciencesPopulation densityDensity dependencePopulation modelStatisticsQuantitative Biology::Populations and EvolutionPopulation growtheducationEnvironmental noiseMathematicsEcological Modelling
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