Search results for " Computer simulation"

showing 10 items of 31 documents

Amorphous silica modeled with truncated and screened Coulomb interactions: A molecular dynamics simulation study

2007

We show that finite-range alternatives to the standard long-range BKS pair potential for silica might be used in molecular dynamics simulations. We study two such models that can be efficiently simulated since no Ewald summation is required. We first consider the Wolf method, where the Coulomb interactions are truncated at a cutoff distance r_c such that the requirement of charge neutrality holds. Various static and dynamic quantities are computed and compared to results from simulations using Ewald summations. We find very good agreement for r_c ~ 10 Angstroms. For lower values of r_c, the long--range structure is affected which is accompanied by a slight acceleration of dynamic properties…

PhysicsStatistical Mechanics (cond-mat.stat-mech)010304 chemical physicsCoulomb interactionsStructure (category theory)FOS: Physical sciencesGeneral Physics and Astronomymolecular dynamics computer simulationYukawa interactionEwald sums01 natural sciencesMolecular physicsEwald summationAccelerationMolecular dynamicssilica0103 physical sciencesCoulombCutoffPhysical and Theoretical Chemistry[PHYS.COND.CM-SM]Physics [physics]/Condensed Matter [cond-mat]/Statistical Mechanics [cond-mat.stat-mech]010306 general physicsPair potentialCondensed Matter - Statistical Mechanics
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Effect of acyl-CoA oxidase activity on the accumulation of gamma-decalactone by the yeast Yarrowia lipolytica: a factorial approach.

2007

International audience; beta-Oxidation is a cyclic pathway involved in the degradation of lipids. In yeast, it occurs in peroxisomes and the first step is catalyzed by an acyl-CoA oxidase (Aoxp). The yeast Yarrowia lipolytica possesses several genes (POX) coding for Aoxps. This study is based on the factorial analysis of results obtained with the many POX derivative strains that have been constructed previously. The effect of interactions between Aoxps on the acyl-CoA oxidase (Aox) activity was important even at the second order. We then investigated the effect of Aox activity on growth and lactone production. Aox activity was correlated with acidification of the medium by cells and with ce…

0106 biological sciencesYarrowia lipolyticaMESH: Enzyme ActivationMetabolic Clearance RateMESH: Factor Analysis StatisticalYarrowiaBiologymodèleModels Biological01 natural sciencesApplied Microbiology and BiotechnologyLactones03 medical and health sciencesEnzyme activatorSpecies SpecificityMESH: Computer Simulation010608 biotechnologyCombinatorial Chemistry TechniquesAcyl-CoA oxidaseMESH: Species SpecificityComputer Simulation030304 developmental biologychemistry.chemical_classificationMESH: Metabolic Clearance Rate0303 health sciencesOxidase testmétabolisme des acides grasAcyl-CoA oxidase activityMESH: Acyl-CoA OxidaseMESH: Models BiologicalYarrowia[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyGeneral MedicinePeroxisomebiology.organism_classificationYeastEnzyme ActivationBiochemistrychemistrylactoneMolecular MedicineMESH: Combinatorial Chemistry TechniquesMESH: YarrowiaAcyl-CoA OxidaseFactor Analysis StatisticalLactoneMESH: Lactones
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Artificial intelligence techniques for cancer treatment planning

1988

An artificial intelligence system, NEWCHEM, for the development of new oncology therapies is described. This system takes into account the most recent advances in molecular and cellular biology and in cell-drug interaction, and aims to guide experimentation in the design of new optimal protocols. Further work is being carried out, aimed to embody in the system all the basic knowledge of biology, physiopathology and pharmacology, to reason qualitatively from first principles so as to be able to suggest cancer therapies.

Artificial Intelligence SystemKnowledge representation and reasoningbusiness.industryAnimals Antineoplastic Combined Chemotherapy Protocols; administration /&/ dosage/pharmacology Clinical Protocols Computer Simulation Drug Therapy; Computer-Assisted Expert Systems Humans Medical Oncology; methods Programming Languages Software Design Therapy; Computer-AssistedExpert SystemsMedical OncologyDrug Therapy Computer-AssistedmethodsCancer treatmentComputer-AssistedBasic knowledgeadministration /&/ dosage/pharmacologyClinical ProtocolsDrug TherapySoftware DesignTherapy Computer-AssistedAntineoplastic Combined Chemotherapy ProtocolsAnimalsHumansComputer SimulationProgramming LanguagesTherapyArtificial intelligenceAutomated reasoningbusinessMedical Informatics
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Three-dimensional geometrical models of the liver.

2006

In this work we used a virtual approach to study the human liver by three-dimensional geometrical models. We built the models through computer aided geometric modelling techniques starting from pictures taken during both real dissections and diagnostic medical imaging. The results show in a complete modular synthesis and with a schematic iconology the structural organization of this organ in a logic sequence of layers and topographic and spatial relationship among its components. This approach represents an amazing support to clinical anatomy for teaching and research.

Liver/anatomy & histology Computer Simulation Hepatic Artery/anatomy & histology Liver Three-dimensional model
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A computational study of point defects and diffusion in enstatite

2009

In order to contribute to the understanding of diffusion processes in enstatite (Mg2Si2O6), we have used atomistic simulation techniques to study point defects in this mineral. We present results for a variety of Scottky and Frenkel defects of all atomic species present in it. We have furthermore calculated the activation energy for magnesium diffusion. We break diffusion down into a succession of hops between neighboring sites. Each hop is associated with a migration energy barrier. By making a series of hops, the diffusing ion may cross the unit cell. The maximum migration energy necessary to attain movement in a direction is the activation energy for diffusion in that direction. The defe…

Settore GEO/06 - Mineralogiaenstatite defects diffusion computer simulationsSettore GEO/08 - Geochimica E Vulcanologia
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Safety Concerns on Ground Fault Application Transfer Phenomenon in HV Installations

2007

When a fault to ground occurs in HV/MV substations supplied by a combined overhead-cable line, most of the fault current can be transferred and injected into the soil several kilometers far away from the fault location. This phenomenon is called "fault application transfer" and mostly concerns transition stations, where cables are connected to the overhead line. If the transition station is a dead-end steel pole structure, usually accessible to the general public, the local ground electrode could be inadequate to maintain ground potential rise within safety limits. Hence, dangerous touch and step voltages may appear at exposed locations. In the paper results of various computer simulations …

Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaEngineeringTransfer phenomenonbusiness.industryGroundTransfer (computing)Electrical engineeringSafety Substations Fault currents Soil Fault location Cables Steel Electrodes Voltage Computer simulationbusinessFault (power engineering)Overhead lineLine (electrical engineering)Voltage2007 IEEE Symposium on Product Compliance Engineering
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A Fly-Inspired Mushroom Bodies Model for Sensory-Motor Control Through Sequence and Subsequence Learning

2016

Classification and sequence learning are relevant capabilities used by living beings to extract complex information from the environment for behavioral control. The insect world is full of examples where the presentation time of specific stimuli shapes the behavioral response. On the basis of previously developed neural models, inspired by Drosophila melanogaster, a new architecture for classification and sequence learning is here presented under the perspective of the Neural Reuse theory. Classification of relevant input stimuli is performed through resonant neurons, activated by the complex dynamics generated in a lattice of recurrent spiking neurons modeling the insect Mushroom Bodies n…

Computer Networks and CommunicationsComputer scienceDecision MakingModels NeurologicalAction PotentialsContext (language use)Insect mushroom bodies bio-inspired control spiking neurons02 engineering and technologyVariation (game tree)Motor Activitybio-inspired control03 medical and health sciences0302 clinical medicineRewardSubsequence0202 electrical engineering electronic engineering information engineeringAnimalsLearningComputer SimulationMushroom BodiesTRACE (psycholinguistics)NeuronsSequencebio-inspired control; Insect mushroom bodies; learning; neural model; resonant neurons; spiking neurons; Action Potentials; Animals; Computer Simulation; Decision Making; Drosophila melanogaster; Learning; Motor Activity; Mushroom Bodies; Neurons; Perception; Reward; Robotics; Models Neurological; Neural Networks Computerspiking neuronsbusiness.industryRoboticsGeneral MedicineInsect mushroom bodiesComplex dynamicsDrosophila melanogasterMushroom bodiesPerception020201 artificial intelligence & image processingNeural Networks ComputerArtificial intelligenceSequence learningbusiness030217 neurology & neurosurgery
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Smoking trends among adolescents from 1990 to 2002 in ten European countries and Canada.

2006

Abstract Background Daily smoking adolescents are a public health problem as they are more likely to become adult smokers and to develop smoking-related health problems later on in their lives. Methods The study is part of the four-yearly, cross-national Health Behaviour in School-aged Children study, a school-based survey on a nationally representative sample using a standardised methodology. Data of 4 survey periods are available (1990–2002). Gender-specific daily smoking trends among 14–15 year olds are examined using logistic regressions. Sex ratios are calculated for each survey period and country. Interaction effects between period and gender are examined. Results Daily smoking preval…

Cross-Cultural ComparisonMaleMESH: Antiviral Agentsmedicine.medical_specialtyCanadaAdolescentMESH: SchoolsCross-sectional studyHealth BehaviorPsychological interventionLogistic regressionWorld Health OrganizationRisk-TakingMESH: Computer SimulationEnvironmental healthSurveys and QuestionnairesEpidemiologymedicinePrevalenceHumansSex DistributionMESH: Disease OutbreaksMESH: OrthomyxoviridaeSchoolsMESH: Humansbusiness.industrylcsh:Public aspects of medicinePublic healthMESH: Influenza HumanSmokingPublic Health Environmental and Occupational Healthlcsh:RA1-1270MESH: NeuraminidaseMESH: Mass ImmunizationCross-cultural studiesHealth SurveysEuropeCross-Sectional StudiesAdolescent Behavior[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieFemale[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieBiostatisticsbusinessMESH: QuarantineSex ratioMESH: Models StatisticalResearch Article
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Modeling the insect mushroom bodies: application to a delayed match-to-sample task.

2013

Despite their small brains, insects show advanced capabilities in learning and task solving. Flies, honeybees and ants are becoming a reference point in neuroscience and a main source of inspiration for autonomous robot design issues and control algorithms. In particular, honeybees demonstrate to be able to autonomously abstract complex associations and apply them in tasks involving different sensory modalities within the insect brain. Mushroom Bodies (MBs) are worthy of primary attention for understanding memory and learning functions in insects. In fact, even if their main role regards olfactory conditioning, they are involved in many behavioral achievements and learning capabilities, as …

Arthropod AntennaeInsectaComputer scienceCognitive Neurosciencemedia_common.quotation_subjectModels NeurologicalAction PotentialsInsectGrasshoppersOlfactory Receptor NeuronsTask (project management)03 medical and health sciences0302 clinical medicineStimulus modalityArtificial IntelligenceMemorymedicineLearningAnimalsComputer SimulationDrosophilaMushroom BodiesProblem Solving030304 developmental biologymedia_commonMatch-to-sample taskSpiking neural networkMotor Neurons0303 health sciencesArtificial neural networkbiologybusiness.industryInsect brain; Insect mushroom bodies; Learning; Neural model; Neuroscience; Spiking neurons; Action Potentials; Animals; Arthropod Antennae; Bees; Computer Simulation; Drosophila; Grasshoppers; Insecta; Memory; Motor Neurons; Mushroom Bodies; Nerve Net; Olfactory Receptor Neurons; Problem Solving; Artificial Intelligence; Models Neurological; Neural Networks ComputerBeesAutonomous robotbiology.organism_classificationInsect mushroom bodiesmedicine.anatomical_structureInsect brain; Insect mushroom bodies; LearningMushroom bodiesDrosophilaArtificial intelligenceNeural Networks ComputerNerve NetbusinessInsect brain030217 neurology & neurosurgeryNeuroanatomyNeural networks : the official journal of the International Neural Network Society
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An adaptive multimeme algorithm for designing HIV multidrug therapies.

2007

This paper proposes a period representation for modeling the multidrug HIV therapies and an Adaptive Multimeme Algorithm (AMmA) for designing the optimal therapy. The period representation offers benefits in terms of flexibility and reduction in dimensionality compared to the binary representation. The AMmA is a memetic algorithm which employs a list of three local searchers adaptively activated by an evolutionary framework. These local searchers, having different features according to the exploration logic and the pivot rule, have the role of exploring the decision space from different and complementary perspectives and, thus, assisting the standard evolutionary operators in the optimizati…

ScheduleMathematical optimizationComputer scienceAnti-HIV AgentsHIV therapy designAdaptive algorithms; HIV therapy design; Memetic algorithms; Nonlinear integer programming; Algorithms; Anti-HIV Agents; Biomimetics; Computer Simulation; Drug Combinations; Drug Design; Drug Therapy Computer-Assisted; HIV Infections; Humans; Immunity Innate; Models ImmunologicalHIV InfectionsReduction (complexity)Computer-AssistedDrug TherapyModelsBiomimeticsGeneticsInnateHumansComputer SimulationRepresentation (mathematics)MetaheuristicStatistical hypothesis testingFlexibility (engineering)Applied MathematicsNonlinear integer programmingImmunityModels ImmunologicalAdaptive algorithmsImmunity InnateDrug Therapy Computer-AssistedDrug CombinationsImmunologicalDrug DesignMemetic algorithmsMemetic algorithmAlgorithmAlgorithmsBiotechnologyPremature convergenceIEEE/ACM transactions on computational biology and bioinformatics
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