Search results for "FOS: Biological sciences"

showing 10 items of 164 documents

sj-pdf-1-lan-10.1177_00236772211036572 - Supplemental material for Use of running plates by floor housed rats: A pilot study

2021

Supplemental material, sj-pdf-1-lan-10.1177_00236772211036572 for Use of running plates by floor housed rats: A pilot study by Jessica Frei, Marcus Clauss, Daniela E Winkler, Thomas Tütken and Louise F Martin in Laboratory Animals

70706 Veterinary MedicineFOS: Veterinary sciencesFOS: Biological sciences69999 Biological Sciences not elsewhere classified
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Supplemental material for Environmental enrichment prevents pup mortality in laboratory mice

2018

Supplemental material for Environmental enrichment prevents pup mortality in laboratory mice by Charlotte S Leidinger, Christa Thöne-Reineke, Nadine Baumgart and Jan Baumgart in Laboratory Animals

70706 Veterinary MedicineFOS: Veterinary sciencesFOS: Biological sciences69999 Biological Sciences not elsewhere classified
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Comparison of Methods for the Assessment of Nonlinearity in Short-Term Heart Rate Variability under different Physiopathological States

2019

Despite the widespread diffusion of nonlinear methods for heart rate variability (HRV) analysis, the presence and the extent to which nonlinear dynamics contribute to short-term HRV are still controversial. This work aims at testing the hypothesis that different types of nonlinearity can be observed in HRV depending on the method adopted and on the physiopathological state. Two entropy-based measures of time series complexity (normalized complexity index, NCI) and regularity (information storage, IS), and a measure quantifying deviations from linear correlations in a time series (Gaussian linear contrast, GLC), are applied to short HRV recordings obtained in young (Y) and old (O) healthy su…

AdultMaleFOS: Computer and information sciencesTime Factorsnonlinear dynamicSupine positionEntropyQuantitative Biology::Tissues and OrgansPhysics::Medical PhysicsGeneral Physics and Astronomysample entropyStatistics - ApplicationsQuantitative Biology - Quantitative Methods01 natural sciences010305 fluids & plasmasSurrogate dataComplexity indexHeart Rateinformation storage0103 physical sciencesStatisticsHumansHeart rate variabilityApplications (stat.AP)010306 general physicsMathematical PhysicsQuantitative Methods (q-bio.QM)MathematicsApplied MathematicsNonlinear methodsHealthy subjectsStatistical and Nonlinear PhysicsMiddle AgedNonlinear systemComplex dynamicsNonlinear DynamicsFOS: Biological sciencesSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaFemaleHeart rate variability (HRV)
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Anergy in self-directed B lymphocytes from a statistical mechanics perspective

2012

The ability of the adaptive immune system to discriminate between self and non-self mainly stems from the ontogenic clonal-deletion of lymphocytes expressing strong binding affinity with self-peptides. However, some self-directed lymphocytes may evade selection and still be harmless due to a mechanism called clonal anergy. As for B lymphocytes, two major explanations for anergy developed over three decades: according to "Varela theory", it stems from a proper orchestration of the whole B-repertoire, in such a way that self-reactive clones, due to intensive interactions and feed-back from other clones, display more inertia to mount a response. On the other hand, according to the `two-signal …

Biological Physics (physics.bio-ph)FOS: Biological sciencesCell Behavior (q-bio.CB)FOS: Physical sciencesQuantitative Biology - Cell BehaviorDisordered Systems and Neural Networks (cond-mat.dis-nn)Physics - Biological PhysicsCondensed Matter - Disordered Systems and Neural Networks
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Transient frailty induced by cell division. Observation, reasons and implications

2021

We know that stress-factors, e.g. X-rays, have an effect on cells that is more lethal in rapid exponential growth than in stationary phase. It is this effect which makes radiotherapy effective in cancer treatment. This stress effect can be explained in two ways: (a) more vulnerability in the growth phase, (b) improved protection capacity and repair mechanisms in the stationary phase. Although the two explanations do not exclude each other, they are very different in the sense that (a) is a general mechanism whereas (b) is strain and stress-factor dependent. In this paper we explore major facets of (a). Firstly, we emphasize that (a) can account for known experimental stress-factor evidence.…

Biological Physics (physics.bio-ph)FOS: Biological sciencesCell Behavior (q-bio.CB)FOS: Physical sciencesQuantitative Biology - Cell BehaviorPhysics - Biological Physics
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Is there an infant mortality in bacteria?

2021

This manuscript proposes a significant step in our long-run investigation of infant mortality across species. Since 2016 (Berrut et al. 2016) a succession of studies (Bois et al. 2019) have traced infant mortality from organisms of high complexity (e.g. mammals) down to unicellular organisms. Infant mortality may be considered as a filtering process through which organisms with potentially lethal congenital defects are eliminated. Such defects may have many causes but here we focus particularly on mishaps resulting from non-optimal conditions in the production of proteins, enzymes and other crucial macromolecules. The statistical signature of infant mortality consists in a falling age-speci…

Biological Physics (physics.bio-ph)FOS: Biological sciencesCell Behavior (q-bio.CB)Quantitative Biology - Cell BehaviorFOS: Physical sciencesPhysics - Biological Physics
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Host–virus evolutionary dynamics with specialist and generalist infection strategies: Bifurcations, bistability, and chaos

2019

In this work, we have investigated the evolutionary dynamics of a generalist pathogen, e.g., a virus population, that evolves toward specialization in an environment with multiple host types. We have particularly explored under which conditions generalist viral strains may rise in frequency and coexist with specialist strains or even dominate the population. By means of a nonlinear mathematical model and bifurcation analysis, we have determined the theoretical conditions for stability of nine identified equilibria and provided biological interpretation in terms of the infection rates for the viral specialist and generalist strains. By means of a stability diagram, we identified stable fixed…

BistabilityPopulationGeneral Physics and AstronomyDynamical Systems (math.DS)Fixed pointParameter spaceBiologyGeneralist and specialist speciesModels Biological01 natural sciencesStability (probability)010305 fluids & plasmas0103 physical sciencesFOS: MathematicsHumansQuantitative Biology::Populations and EvolutionComputer SimulationMathematics - Dynamical SystemsQuantitative Biology - Populations and Evolution010306 general physicsEvolutionary dynamicseducationMathematical Physicseducation.field_of_studyApplied MathematicsDegenerate energy levelsPopulations and Evolution (q-bio.PE)Statistical and Nonlinear Physics3. Good healthNonlinear DynamicsEvolutionary biologyFOS: Biological sciencesHost-Pathogen InteractionsVirusesVirus Physiological Phenomena
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A Review of Mathematical and Computational Methods in Cancer Dynamics.

2022

Cancers are complex adaptive diseases regulated by the nonlinear feedback systems between genetic instabilities, environmental signals, cellular protein flows, and gene regulatory networks. Understanding the cybernetics of cancer requires the integration of information dynamics across multidimensional spatiotemporal scales, including genetic, transcriptional, metabolic, proteomic, epigenetic, and multi-cellular networks. However, the time-series analysis of these complex networks remains vastly absent in cancer research. With longitudinal screening and time-series analysis of cellular dynamics, universally observed causal patterns pertaining to dynamical systems, may self-organize in the si…

Cancer Researchinverse problemssystems oncologyFOS: Physical sciencescomplex networksdynamical systemsOther Quantitative Biology (q-bio.OT)Nonlinear Sciences - Chaotic DynamicsalgorithmsQuantitative Biology - Other Quantitative BiologyOncologyFOS: Biological sciencescancerChaotic Dynamics (nlin.CD)complexity scienceinformation theory
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The Structure of Cholesterol in Lipid Rafts

2014

Rafts, or functional domains, are transient nano- or mesoscopic structures in the plasma membrane and are thought to be essential for many cellular processes such as signal transduction, adhesion, trafficking and lipid/protein sorting. Observations of these membrane heterogeneities have proven challenging, as they are thought to be both small and short-lived. With a combination of coarse-grained molecular dynamics simulations and neutron diffraction using deuterium labeled cholesterol molecules we observe raft-like structures and determine the ordering of the cholesterol molecules in binary cholesterol-containing lipid membranes. From coarse-grained computer simulations, heterogenous membra…

CholesterolLiquid ordered phaseNeutron diffractionGeneral Physics and AstronomyFOS: Physical sciencesBiomolecules (q-bio.BM)Triclinic crystal systemCondensed Matter - Soft Condensed Matterchemistry.chemical_compoundMolecular dynamicsMembranechemistryQuantitative Biology - BiomoleculesBiological Physics (physics.bio-ph)FOS: Biological sciencesBiophysicsMoleculeSoft Condensed Matter (cond-mat.soft)lipids (amino acids peptides and proteins)Physics - Biological PhysicsLipid raft
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Importance sampling for Lambda-coalescents in the infinitely many sites model

2011

We present and discuss new importance sampling schemes for the approximate computation of the sample probability of observed genetic types in the infinitely many sites model from population genetics. More specifically, we extend the 'classical framework', where genealogies are assumed to be governed by Kingman's coalescent, to the more general class of Lambda-coalescents and develop further Hobolth et. al.'s (2008) idea of deriving importance sampling schemes based on 'compressed genetrees'. The resulting schemes extend earlier work by Griffiths and Tavar\'e (1994), Stephens and Donnelly (2000), Birkner and Blath (2008) and Hobolth et. al. (2008). We conclude with a performance comparison o…

Class (set theory)ComputationSample (statistics)62F99 (Primary) 62P10 92D10 92D20 (Secondary)LambdaArticleSampling StudiesCoalescent theoryEvolution MolecularGene FrequencyFOS: MathematicsQuantitative Biology::Populations and EvolutionAnimalsQuantitative Biology - Populations and EvolutionEcology Evolution Behavior and Systematicscomputer.programming_languageMathematicsDiscrete mathematicsModels GeneticBETA (programming language)Probability (math.PR)Populations and Evolution (q-bio.PE)Markov ChainsGenetics PopulationPerformance comparisonFOS: Biological sciencesMutationcomputerMonte Carlo MethodMathematics - ProbabilityImportance sampling
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