Search results for "FOS: Biological sciences"

showing 10 items of 164 documents

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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The Strategic Reference Gene: an organismal theory of inclusive fitness

2019

How to define and use the concept of inclusive fitness is a contentious topic in evolutionary theory. Inclusive fitness can be used to calculate selection on a focal gene, but it is also applied to whole organisms. Individuals are then predicted to appear designed as if to maximise their inclusive fitness, provided that certain conditions are met (formally when interactions between individuals are 'additive'). Here we argue that applying the concept of inclusive fitness to organisms is justified under far broader conditions than previously shown, but only if it is appropriately defined. Specifically, we propose that organisms should maximise the sum of their offspring (including any accrued…

0106 biological sciencesselfish geneHamilton’s ruleEvolutionevoluutioKin selection010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesReference genekausaaliteettiSelection GeneticsukulaisvalintaQuantitative Biology - Populations and Evolutionsocial evolutionEvolutionary theorySelection (genetic algorithm)030304 developmental biologyGeneral Environmental Sciencesopeutuminen0303 health sciencesgeenitModels GeneticGeneral Immunology and MicrobiologyReproductionPopulations and Evolution (q-bio.PE)Inclusive fitnessGeneral MedicineBiological EvolutionCausalityPhenotypeEvolutionary biologyFOS: Biological scienceskausaliteettiGenetic FitnessAdaptationSocial evolutionGeneral Agricultural and Biological SciencesPsychology
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Collective behavior of quorum-sensing run-and-tumble particles in confinement

2016

We study a generic model for quorum-sensing bacteria in circular confinement. Every bacterium produces signaling molecules, the local concentration of which triggers a response when a certain threshold is reached. If this response lowers the motility then an aggregation of bacteria occurs, which differs fundamentally from standard motility-induced phase separation due to the long-ranged nature of the concentration of signal molecules. We analyze this phenomenon analytically and by numerical simulations employing two different protocols leading to stationary cluster and ring morphologies, respectively.

0301 basic medicineCollective behaviorGeneral Physics and AstronomyFOS: Physical sciencesNanotechnologyCondensed Matter - Soft Condensed MatterBacterial Physiological Phenomena01 natural sciencesSignalModels BiologicalQuantitative Biology::Cell BehaviorQuantitative Biology::Subcellular Processes03 medical and health sciences0103 physical sciencesCell Behavior (q-bio.CB)Cluster (physics)Physics - Biological Physics010306 general physicsCondensed Matter - Statistical MechanicsPhysicsStatistical Mechanics (cond-mat.stat-mech)ChemotaxisQuorum SensingQuorum sensing030104 developmental biologyChemical physicsBiological Physics (physics.bio-ph)FOS: Biological sciencesQuantitative Biology - Cell BehaviorSoft Condensed Matter (cond-mat.soft)
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Dynamic coarse-graining fills the gap between atomistic simulations and experimental investigations of mechanical unfolding

2017

We present a dynamic coarse-graining technique that allows to simulate the mechanical unfolding of biomolecules or molecular complexes on experimentally relevant time scales. It is based on Markov state models (MSM), which we construct from molecular dynamics simulations using the pulling coordinate as an order parameter. We obtain a sequence of MSMs as a function of the discretized pulling coordinate, and the pulling process is modeled by switching among the MSMs according to the protocol applied to unfold the complex. This way we cover seven orders of magnitude in pulling speed. In the region of rapid pulling we additionally perform steered molecular dynamics simulations and find excellen…

0301 basic medicineDiscretizationGeneral Physics and AstronomyMarkov processFOS: Physical sciencesCondensed Matter - Soft Condensed Matter01 natural sciences03 medical and health sciencesMolecular dynamicssymbols.namesake0103 physical sciencesPhysics - Biological PhysicsStatistical physicsPhysical and Theoretical Chemistry010306 general physicsPhysicsQuantitative Biology::BiomoleculesMarkov chainMolecular biophysicsBiomolecules (q-bio.BM)Function (mathematics)030104 developmental biologyQuantitative Biology - BiomoleculesOrders of magnitude (time)Biological Physics (physics.bio-ph)FOS: Biological sciencessymbolsSoft Condensed Matter (cond-mat.soft)Granularity
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Conformational dynamics of a single protein monitored for 24 hours at video rate

2018

We use plasmon rulers to follow the conformational dynamics of a single protein for up to 24 h at a video rate. The plasmon ruler consists of two gold nanospheres connected by a single protein linker. In our experiment, we follow the dynamics of the molecular chaperone heat shock protein 90 (Hsp90), which is known to show “open” and “closed” conformations. Our measurements confirm the previously known conformational dynamics with transition times in the second to minute time scale and reveals new dynamics on the time scale of minutes to hours. Plasmon rulers thus extend the observation bandwidth 3–4 orders of magnitude with respect to single-molecule fluorescence resonance energy transfer a…

0301 basic medicineLetterProtein ConformationMolecular ConformationFOS: Physical sciencesHsp90Bioengineeringsingle molecule02 engineering and technology7. Clean energyQuantitative Biology - Quantitative Methods03 medical and health sciencesMolecular dynamicsFluorescence Resonance Energy TransferNanotechnologyGeneral Materials ScienceHSP90 Heat-Shock ProteinsPhysics - Biological PhysicsQuantitative Methods (q-bio.QM)PlasmonPhysicsVideo rateMechanical EngineeringProtein dynamics92Biomolecules (q-bio.BM)General ChemistrySurface Plasmon Resonance021001 nanoscience & nanotechnologyCondensed Matter PhysicsGold nanospheres030104 developmental biologyFörster resonance energy transferQuantitative Biology - BiomoleculesBiological Physics (physics.bio-ph)Chemical physicsFOS: Biological sciencesprotein dynamicsPlasmon rulernonergodicityGold0210 nano-technologyLinker
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Mapping brain activity with flexible graphene micro-transistors

2016

arXiv:1611.05693v1.-- et al.

0301 basic medicineMaterials scienceFOS: Physical sciences02 engineering and technologylaw.invention03 medical and health scienceslawGeneral Materials ScienceElectronicsPhysics - Biological PhysicsNeural implantsBioelectronicsBioelectronicsbusiness.industryGrapheneSensorsMechanical EngineeringTransistorGeneral Chemistry021001 nanoscience & nanotechnologyCondensed Matter PhysicsField-effect transistorsMicroelectrodeBrain implant030104 developmental biologyBiological Physics (physics.bio-ph)Mechanics of MaterialsFOS: Biological sciencesQuantitative Biology - Neurons and CognitionOptoelectronicsNeurons and Cognition (q-bio.NC)Charge carrierField-effect transistorGraphene0210 nano-technologybusiness2D Materials
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Simple Muscle Architecture Analysis (SMA): An ImageJ macro tool to automate measurements in B-mode ultrasound scans

2020

In vivo measurements of muscle architecture (i.e. the spatial arrangement of muscle fascicles) are routinely included in research and clinical settings to monitor muscle structure, function and plasticity. However, in most cases such measurements are performed manually, and more reliable and time-efficient automated methods are either lacking completely, or are inaccessible to those without expertise in image analysis. In this work, we propose an ImageJ script to automate the entire analysis process of muscle architecture in ultrasound images: Simple Muscle Architecture Analysis (SMA). Images are filtered in the spatial and frequency domains with built-in commands and external plugins to hi…

0301 basic medicineMuscle PhysiologyMuscle FunctionsPhysiologyComputer sciencelihaksetDiagnostic RadiologyComputer ArchitectureWorkflowtukikudoksetultrasound imaging0302 clinical medicineSoftwareUltrasound ImagingMedicine and Health SciencesImage Processing Computer-AssistedComputer visionMacroTissues and Organs (q-bio.TO)Musculoskeletal Systemconnective tissueUltrasonographyMultidisciplinaryOrientation (computer vision)Radiology and ImagingMusclesQImage and Video Processing (eess.IV)Gastrocnemius MusclesUltrasoundRultraääniMuscle AnalysisFascicleSMA*Bioassays and Physiological Analysismedicine.anatomical_structureConnective TissueMedicinemuscle analysisAnatomyResearch ArticleComputer and Information SciencesImaging TechniquesScienceFOS: Physical sciencesConnective tissueImage processingmuscle functionsImage Analysisgastrocnemius musclesResearch and Analysis Methods03 medical and health sciencesimage analysisDiagnostic MedicineImage Interpretation Computer-AssistedFOS: Electrical engineering electronic engineering information engineeringmedicineHumanskaksoiskantalihascomputer architectureRM695_Physicalbusiness.industryBiology and Life SciencesQuantitative Biology - Tissues and Organs030229 sport sciencesElectrical Engineering and Systems Science - Image and Video ProcessingPhysics - Medical PhysicsQPimaging techniquesBiological Tissue030104 developmental biologykuva-analyysiFOS: Biological sciencesMedical Physics (physics.med-ph)Artificial intelligenceMuscle architecturebusinessSoftware
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Weakly coupled map lattice models for multicellular patterning and collective normalization of abnormal single-cell states

2017

We present a weakly coupled map lattice model for patterning that explores the effects exerted by weakening the local dynamic rules on model biological and artificial networks composed of two-state building blocks (cells). To this end, we use two cellular automata models based on: (i) a smooth majority rule (model I) and (ii) a set of rules similar to those of Conway's Game of Life (model II). The normal and abnormal cell states evolve according with local rules that are modulated by a parameter $\kappa$. This parameter quantifies the effective weakening of the prescribed rules due to the limited coupling of each cell to its neighborhood and can be experimentally controlled by appropriate e…

0301 basic medicineNormalization (statistics)Majority ruleTime FactorsFOS: Physical sciencesAbnormal cellPattern Formation and Solitons (nlin.PS)Models BiologicalCell Physiological PhenomenaCombinatorics03 medical and health sciences0302 clinical medicineCell Behavior (q-bio.CB)Physics - Biological PhysicsGame of lifeMathematicsCellular Automata and Lattice Gases (nlin.CG)Artificial networksNonlinear Sciences - Pattern Formation and SolitonsCellular automatonMulticellular organism030104 developmental biologyBiological Physics (physics.bio-ph)030220 oncology & carcinogenesisFOS: Biological sciencesQuantitative Biology - Cell BehaviorBiological systemNonlinear Sciences - Cellular Automata and Lattice GasesCoupled map lattice
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Quantum field inspired model of decision making: Asymptotic stabilization of belief state via interaction with surrounding mental environment

2018

This paper is devoted to justification of quantum-like models of the process of decision making based on the theory of open quantum systems, i.e. decision making is considered as decoherence. This process is modeled as interaction of a decision maker, Alice, with a mental (information) environment ${\cal R}$ surrounding her. Such an interaction generates "dissipation of uncertainty" from Alice's belief-state $\rho(t)$ into ${\cal R}$ and asymptotic stabilization of $\rho(t)$ to a steady belief-state. The latter is treated as the decision state. Mathematically the problem under study is about finding constraints on ${\cal R}$ guaranteeing such stabilization. We found a partial solution of th…

0301 basic medicinePersuasionClass (set theory)Psychology (all)Quantum decoherenceDissipation of uncertaintyProcess (engineering)Computer sciencemedia_common.quotation_subjectBF050105 experimental psychology03 medical and health sciences0501 psychology and cognitive sciencesQuantum field theoryQAQuantumGeneral Psychologymedia_commonQuantum-like modelVoters’ behaviorApplied Mathematics05 social sciencesState (functional analysis)16. Peace & justiceMental environmentMental (information) environment030104 developmental biologyQuantitative Biology - Neurons and CognitionOpen quantum systemFOS: Biological sciencesConsumers’ persuasionNeurons and Cognition (q-bio.NC)Decision makingMathematical economics
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