Search results for "Mathematic"

showing 10 items of 24974 documents

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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Modeling Chronic Toxicity: A Comparison of Experimental Variability With (Q)SAR/Read-Across Predictions

2018

This study compares the accuracy of (Q)SAR/read-across predictions with the experimental variability of chronic lowest-observed-adverse-effect levels (LOAELs) from in vivo experiments. We could demonstrate that predictions of the lazy structure-activity relationships (lazar) algorithm within the applicability domain of the training data have the same variability as the experimental training data. Predictions with a lower similarity threshold (i.e., a larger distance from the applicability domain) are also significantly better than random guessing, but the errors to be expected are higher and a manual inspection of prediction results is highly recommended.

0301 basic medicinePharmacologyTraining setlazarbusiness.industrylcsh:RM1-950Pattern recognition010501 environmental sciences01 natural sciencesexperimental variability(Q)SAR03 medical and health sciences030104 developmental biologylcsh:Therapeutics. PharmacologySimilarity (network science)Pharmacology (medical)Artificial intelligencebusinessChronic toxicityLOAEL0105 earth and related environmental sciencesApplicability domainMathematicsread-acrossFrontiers in Pharmacology
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Generalized Molecular Descriptors Derived From Event-Based Discrete Derivative.

2016

In the present study, a generalized approach for molecular structure characterization is introduced, based on the relation frequency matrix (F) representation of the molecular graph and the subsequent calculation of the corresponding discrete derivative (finite difference) over a pair of elements (atoms). In earlier publications (22- 24), an unique event, named connected subgraphs, (based on the Kier-Hall's subgraphs) was systematically employed for the computation of the matrix F. The present report is a generalization of this notion, in which eleven additional events are introduced, classified in three categories, namely, topological (terminal paths, vertex path incidence, quantum subgrap…

0301 basic medicinePharmacologyVertex (graph theory)Discrete mathematicsBasis (linear algebra)Bioinformatics01 natural sciences0104 chemical sciences010404 medicinal & biomolecular chemistry03 medical and health scienceschemistry.chemical_compoundMatrix (mathematics)030104 developmental biologychemistryModels ChemicalMolecular descriptorDrug DiscoveryPath (graph theory)Molecular graphRepresentation (mathematics)FuransAlgorithmsSoftwareEvent (probability theory)Current pharmaceutical design
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Statistical characterization of deviations from planned flight trajectories in air traffic management

2016

Understanding the relation between planned and realized flight trajectories and the determinants of flight deviations is of great importance in air traffic management. In this paper we perform an in depth investigation of the statistical properties of planned and realized air traffic on the German airspace during a 28 day periods, corresponding to an AIRAC cycle. We find that realized trajectories are on average shorter than planned ones and this effect is stronger during night-time than daytime. Flights are more frequently deviated close to the departure airport and at a relatively large angle to destination. Moreover, the probability of a deviation is higher in low traffic phases. All the…

0301 basic medicinePhysics - Physics and SocietyEngineeringStrategy and ManagementFOS: Physical sciencesTransportationPhysics and Society (physics.soc-ph)Management Monitoring Policy and LawStability (probability)socio-technical complex systemAviation safety03 medical and health sciencesControl theory0502 economics and business11. SustainabilityAir traffic management complex networks trajectoriesSimulationRandomness050210 logistics & transportationbusiness.industry05 social sciencesAir traffic managementAir traffic controlSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)030104 developmental biologyMetric (mathematics)TrajectoryNull hypothesisbusinessLawair traffc managementJournal of Air Transport Management
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A Thermodynamic Model of Monovalent Cation Homeostasis in the Yeast Saccharomyces cerevisiae

2016

Cationic and heavy metal toxicity is involved in a substantial number of diseases in mammals and crop plants. Therefore, the understanding of tightly regulated transporter activities, as well as conceiving the interplay of regulatory mechanisms, is of substantial interest. A generalized thermodynamic description is developed for the complex interplay of the plasma membrane ion transporters, membrane potential and the consumption of energy for maintaining and restoring specific intracellular cation concentrations. This concept is applied to the homeostasis of cation concentrations in the yeast cells of S. cerevisiae. The thermodynamic approach allows to model passive ion fluxes driven by the…

0301 basic medicinePhysiologyATPaseAntiporterYeast and Fungal ModelsPhysical ChemistryBiochemistryIon ChannelsCation homeostasisMedicine and Health SciencesHomeostasislcsh:QH301-705.5Membrane potentialEcologybiologyChemistryOrganic CompoundsPhysicsMonosaccharidesElectrophysiologyChemistryComputational Theory and MathematicsBiochemistryModeling and SimulationPhysical SciencesThermodynamicsProtonsAlgorithmsResearch ArticleChemical ElementsSaccharomyces cerevisiaeCarbohydratesSaccharomyces cerevisiaeResearch and Analysis MethodsMembrane PotentialModels Biological03 medical and health sciencesCellular and Molecular NeuroscienceSaccharomycesModel OrganismsCationsGeneticsMolecular BiologyEcology Evolution Behavior and SystematicsIon transporterNuclear PhysicsNucleonsIonsOrganic ChemistrySodiumChemical CompoundsOrganismsFungiBiology and Life SciencesComputational BiologyBiological Transportbiology.organism_classificationYeast030104 developmental biologyGlucoseMetabolismlcsh:Biology (General)SymporterActive transportbiology.proteinBiophysicsPLoS Computational Biology
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The role of spatial structure in the evolution of viral innate immunity evasion: A diffusion-reaction cellular automaton model

2020

Most viruses have evolved strategies for preventing interferon (IFN) secretion and evading innate immunity. Recent work has shown that viral shutdown of IFN secretion can be viewed as a social trait, since the ability of a given virus to evade IFN-mediated immunity depends on the phenotype of neighbor viruses. Following this idea, we investigate the role of spatial structure in the evolution of innate immunity evasion. For this, we model IFN signaling and viral spread using a spatially explicit approximation that combines a diffusion-reaction model and cellular automaton. Our results indicate that the benefits of preventing IFN secretion for a virus are strongly determined by spatial struct…

0301 basic medicinePhysiologyApoptosisVirus ReplicationBiochemistryVirionsEpitopes0302 clinical medicineInterferonMedicine and Health SciencesBiology (General)Innate Immune Systemeducation.field_of_studyCell DeathEcology3. Good healthCell biologyPhenotypeComputational Theory and MathematicsCell ProcessesModeling and SimulationViral evolutionHost-Pathogen InteractionsVirusesSignal TransductionResearch Articlemedicine.drugEvolutionary ImmunologyQH301-705.5ImmunologyPopulationViral StructureBiologyAntiviral AgentsMicrobiologyViral EvolutionVirusViral Proteins03 medical and health sciencesCellular and Molecular NeuroscienceImmunityVirologyGeneticsmedicineAnimalsHumansComputer SimulationSocial BehavioreducationMolecular BiologySecretionEcology Evolution Behavior and SystematicsImmune EvasionEvolutionary BiologyInnate immune systemVirionBiology and Life SciencesProteinsCell BiologyEvasion (ethics)Immunity InnateOrganismal Evolution030104 developmental biologyViral replicationImmune SystemMicrobial EvolutionInterferonsPhysiological Processes030217 neurology & neurosurgery
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View images with unprecedented resolution in integral microscopy

2018

Integral microscopy is a novel technique that allows the simultaneous capture of multiple perspective images of microscopic samples. This feature is achieved at the cost of a significant reduction of the spatial resolution. In fact, it is assumed that in the best cases the resolution is reduced by a factor that is not smaller than ten, what poses a hard drawback to the utility of the technique. However, to the best of our knowledge, this resolution limitation has never been researched rigorously. For this reason, the aim of this paper is to explore the real limitations in resolution of integral microscopy and to obtain optically, without the need of any image-processing algorithm, perspecti…

0301 basic medicinePoint spread functionComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION01 natural sciences010309 opticsReduction (complexity)03 medical and health sciences0103 physical sciencesMicroscopyComputer visionElectrical and Electronic EngineeringImage resolutionbusiness.industryResolution (electron density)Perspective (graphical)Atomic and Molecular Physics and OpticsÒptica Aparells i instrumentsElectronic Optical and Magnetic MaterialsMicroscòpiaRange (mathematics)030104 developmental biologyFeature (computer vision)Artificial intelligencebusinessOSA Continuum
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KnotGenome: a server to analyze entanglements of chromosomes.

2018

Abstract The KnotGenome server enables the topological analysis of chromosome model data using three-dimensional coordinate files of chromosomes as input. In particular, it detects prime and composite knots in single chromosomes, and links between chromosomes. The knotting complexity of the chromosome is presented in the form of a matrix diagram that reveals the knot type of the entire polynucleotide chain and of each of its subchains. Links are determined by means of the Gaussian linking integral and the HOMFLY-PT polynomial. Entangled chromosomes are presented graphically in an intuitive way. It is also possible to relax structure with short molecular dynamics runs before the analysis. Kn…

0301 basic medicinePolynomialProtein ConformationGaussianPolynucleotidesBiologyType (model theory)Molecular Dynamics SimulationPrime (order theory)ChromosomesQuantitative Biology::Subcellular Processes03 medical and health sciencessymbols.namesakeMatrix (mathematics)Knot (unit)Chain (algebraic topology)GeneticsDiscrete mathematicsInternetDiagramComputational BiologyMathematics::Geometric TopologyQuantitative Biology::Genomics030104 developmental biologyWeb Server IssuesymbolsAlgorithmsSoftwareNucleic acids research
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On the structural connectivity of large-scale models of brain networks at cellular level

2021

AbstractThe brain’s structural connectivity plays a fundamental role in determining how neuron networks generate, process, and transfer information within and between brain regions. The underlying mechanisms are extremely difficult to study experimentally and, in many cases, large-scale model networks are of great help. However, the implementation of these models relies on experimental findings that are often sparse and limited. Their predicting power ultimately depends on how closely a model’s connectivity represents the real system. Here we argue that the data-driven probabilistic rules, widely used to build neuronal network models, may not be appropriate to represent the dynamics of the …

0301 basic medicineProcess (engineering)Computer scienceScienceModels NeurologicalCellular levelMachine learningcomputer.software_genreArticle03 medical and health sciencesComputational biophysics0302 clinical medicineSettore MAT/05 - Analisi MatematicamedicineBiological neural networkHumansSettore MAT/07 - Fisica MatematicaOn the structural connectivity of large-scale models of brain networks at cellular levelSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniNeuronsMultidisciplinaryNetwork modelsSettore INF/01 - Informaticabusiness.industryQRProbabilistic logicBrain030104 developmental biologymedicine.anatomical_structureMathematical framework Neuron networks Large‑scale model Data‑driven probabilistic rules Modeling cellular-level brain networksMedicineNeuronArtificial intelligencebusinessScale modelcomputer030217 neurology & neurosurgeryScientific Reports
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FastaHerder2: Four Ways to Research Protein Function and Evolution with Clustering and Clustered Databases.

2016

The accelerated growth of protein databases offers great possibilities for the study of protein function using sequence similarity and conservation. However, the huge number of sequences deposited in these databases requires new ways of analyzing and organizing the data. It is necessary to group the many very similar sequences, creating clusters with automated derived annotations useful to understand their function, evolution, and level of experimental evidence. We developed an algorithm called FastaHerder2, which can cluster any protein database, putting together very similar protein sequences based on near-full-length similarity and/or high threshold of sequence identity. We compressed 50…

0301 basic medicineProtein structure databaseProteomicsProteomeSequence analysisComputer sciencecomputer.software_genreSensitivity and SpecificitySet (abstract data type)Evolution Molecular03 medical and health sciences0302 clinical medicineSimilarity (network science)Sequence Analysis ProteinGeneticsCluster (physics)AnimalsCluster AnalysisHumansCluster analysisDatabases ProteinMolecular BiologySequenceDatabaseFunction (mathematics)Computational Mathematics030104 developmental biologyComputational Theory and MathematicsModeling and SimulationData miningcomputer030217 neurology & neurosurgerySoftwareJournal of computational biology : a journal of computational molecular cell biology
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