Search results for "Random"

showing 10 items of 3931 documents

Evidence of stochastic resonance in the mating behavior of Nezara viridula (L.)

2008

We investigate the role of the noise in the mating behavior between individuals of Nezara viridula (L.), by analyzing the temporal and spectral features of the non-pulsed type female calling song emitted by single individuals. We have measured the threshold level for the signal detection, by performing experiments with the calling signal at different intensities and analyzing the insect response by directionality tests performed on a group of male individuals. By using a sub-threshold signal and an acoustic Gaussian noise source, we have investigated the insect response for different levels of noise, finding behavioral activation for suitable noise intensities. In particular, the percentage…

Stochastic resonanceFOS: Physical sciencesNoise in biological systemQuantitative Biology - Quantitative MethodsSignalsymbols.namesakeDirectionalityDetection theoryPhysics - Biological PhysicsQuantitative Methods (q-bio.QM)Biophysical mechanisms of interactionPhysicsFluctuation phenomena random processes noise and Brownian motionbiologyNoise (signal processing)Noise in biological systems; Biophysical mechanisms of interaction; Fluctuation phenomena random processes noise and Brownian motionCondensed Matter Physicsbiology.organism_classificationSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Electronic Optical and Magnetic MaterialsBiological Physics (physics.bio-ph)Gaussian noiseNezara viridulaFOS: Biological sciencessymbolsThreshold modelBiological system
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In vivo application and dynamics of lactic acid bacteria for the four-season production of Vastedda-like cheese.

2014

article Twelve lactic acid bacteria (LAB), previously selected in vitro (Gaglio et al., 2014), were evaluated in situ for their potential to act as starter cultures for the continuous four-season production of Vastedda-like cheese, made with raw ewes' milk. The strains belonged to Lactobacillus delbrueckii, Lactococcus lactis subsp. cremoris, Leuconostoc mesenteroides subsp. mesenteroides and Streptococcus thermophilus .L AB werefirst inoculated in multiple-strain combinations on the basis of their optimal growth temperatures in three process conditions which differed for milk treatment and medium for strain development: process 1, growth of strains in the optimal synthetic media and pasteu…

Streptococcus thermophilusLactococcusGram-Positive BacteriaMicrobiologyFermentation; Lactic acid bacteria; Pilot plant; Raw milk; Starter cultures; Traditional cheeseSettore AGR/17 - Zootecnica Generale E Miglioramento GeneticoCheeseLactobacillusLactic acid bacteriaLeuconostocFood microbiologyAnimalsHumansStreptococcus thermophilusFood scienceLactobacillus delbrueckiiVolatile Organic CompoundsbiologyPilot plantLactococcus lactisTemperaturefood and beveragesRaw milkTraditional cheeseGeneral MedicineSettore AGR/15 - Scienze E Tecnologie AlimentariRaw milkHydrogen-Ion Concentrationbiology.organism_classificationRandom Amplified Polymorphic DNA TechniqueLactococcus lactisMilkStarter cultureLeuconostoc mesenteroidesTasteFermentationFood MicrobiologySeasonsLeuconostocFood ScienceSettore AGR/16 - Microbiologia Agraria
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La “Stimolazione transcranica Random Noise” (tRNS) e la riabilitazione motoria dell’arto superiore nel paziente in fase subacuta di ictus ischemico.

"RANDOM NOISE TRANSCRANIAL STIMULATION" (TRNS) AND MOTOR REHABILITATION OF THE UPPER LIMB IN SUBACUTE ISCHEMIC STROKE PATIENTS. BACKGROUND Upper limb impairment is a common outcome after stroke. New rehabilitative interventions partially failed to show a superior effect compared to standard therapy. The present study focuses on the effect of tNRS in the sub-acute stage after stroke. The primary aim is to evaluate the combined use of TRNS with the GRASP in subacute ischemic stroke patients. METHODS A double-blind RCT, approved by local committee, was performed. Patients with upper-limb impairment were recruited 1 to 6 weeks after stroke. Participants were randomly allocated to two groups: GR…

StrokeSettore MED/09 - Medicina Internastroke random noise stimulation rehabilitation
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Reliability Analysis of Discrete Dynamic Systems under Non-Stationary Random Excitations

1987

In this paper we shall describe an approach to the study the reliability of structures modeled as linear discrete dynamic systems which has been designed to withstand nonstationary random excitations. Ne shall discuss this problem upon consideration the following four steps:

Strong ground motionControl theoryComputer scienceRandom vibrationReliability (statistics)
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Cryopreservation of Digitalis obscura selected genotypes by encapsulation-dehydration

2001

Shoot-tips from several genotypes of the cardenolide-producing perennial shrub Digitalis obscura L. were successfully cryopreserved using the encapsulation-dehydration technique. Precultivation on MS medium containing 0.5 M sucrose, followed by 2.5 h dehydration (final weight 30 %) induced shoot regrowth in 42 % of cryopreserved shoot-tips. Cold-hardening of the in vitro cultures before sucrose treatment dramatically increased shoot recovery up to 86 %. The optimized cryopreservation protocol was then employed using different shoot cultures from five D. obscura genotypes. Responses to cryopreservation depended mainly on the genotype, best results being obtained when shoot tips from HU3 and …

SucroseDNA PlantGenotypeScrophulariaceaeAcclimatizationDigitalis obscuraPharmaceutical ScienceCapsulesCryopreservationAnalytical ChemistrySomaclonal variationchemistry.chemical_compoundMurashige and Skoog mediumDrug DiscoveryBotanyDesiccationCryopreservationPharmacologyDigitalisbiologyOrganic Chemistryfungifood and beveragesbiology.organism_classificationRandom Amplified Polymorphic DNA TechniqueRAPDCold TemperatureHorticultureComplementary and alternative medicinechemistryShootMolecular MedicinePlant Shoots
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Unified description of 2+_1 states within the deformed quasiparticle random-phase approximation

2013

We describe low-lying collective states in deformed even-even nuclei within a deformed quasiparticle random-phase approximation (dQRPA) by using a single-particle basis with good angular momentum. The statistical factors, accounting for the level occupancy, appear in the dQRPA in a natural way as rotation coefficients that take the intrinsic system to the laboratory system. We have used our model by performing a systematic analysis of E2 transitions from the first ${2}^{+}$ state to the ground state for all superfluid nuclei in the range $50lZ\ensuremath{\le}100$ by using a common charge polarization parameter $\ensuremath{\chi}=0.2$. In spite of its similarity to the QRPA, this method is a…

SuperfluidityPhysicsNuclear and High Energy PhysicsAngular momentumClassical mechanicsta114Quantum mechanicsQuasiparticleCharge (physics)State (functional analysis)Polarization (waves)Ground stateRandom phase approximationPhysical Review C
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Deep learning approach for prediction of impact peak appearance at ground reaction force signal of running activity

2020

Protruding impact peak is one of the features of vertical ground reaction force (GRF) that is related to injury risk while running. The present research is dedicated to predicting GRF impact peak appearance by setting a binary classification problem. Kinematic data, namely a number of raw signals in the sagittal plane, collected by the Vicon motion capture system (Oxford Metrics Group, UK) were employed as predictors. Therefore, the input data for the predictive model are presented as a multi-channel time series. Deep learning techniques, namely five convolutional neural network (CNN) models were applied to the binary classification analysis, based on a Multi-Layer Perceptron (MLP) classifi…

Support Vector MachinerasitusvammatComputer science02 engineering and technologyneuroverkotliikkeenkaappausConvolutional neural networkRunning0302 clinical medicineCluster Analysis315 Sport and fitness sciencesbinary classificationrisk assessmentSignal Processing Computer-AssistedGeneral MedicineComputer Science ApplicationsRandom forestkoneoppiminenBinary classificationRUNNERSbiomekaniikkaAlgorithmsCNNforce platform0206 medical engineeringBiomedical EngineeringBioengineeringjuoksu03 medical and health sciencesDeep LearningClassifier (linguistics)HumansliikeanalyysiGround reaction forcerunning gait analysisbusiness.industryDeep learningPattern recognition030229 sport sciencesPerceptron113 Computer and information sciences020601 biomedical engineeringHuman-Computer InteractionSupport vector machineLogistic ModelsComputingMethodologies_PATTERNRECOGNITIONINJURIESArtificial intelligenceNeural Networks Computerbusiness
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Spectrum Hole Detection for Cognitive Radio through Energy Detection using Random Forest

2020

The growth of wireless data is the major driving force for an exponential increase in wireless communication. Cognitive Radio is one of the emerging wireless technologies that can be used for smart utility networks. Optimum utilization of the wireless spectrum is the objective of Cognitive Radio. Finding a spectrum hole through intelligent means is essential for the success of Cognitive Radio. Dynamic spectrum allocation is also an efficient technique for spectrum allocation. It will lead to a better spectrum utilization. In this paper, some of the machine learning techniques are used to find a frequency range for dynamic spectrum allocation. Different machine learning techniques such as Lo…

Support vector machineCognitive radioComputer sciencebusiness.industryReal-time computingBandwidth (signal processing)Range (statistics)WirelessbusinessEnergy (signal processing)Random forestFrequency allocation2020 International Conference for Emerging Technology (INCET)
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Mechanical desorption of a single chain: unusual aspects of phase coexistence at a first-order transition.

2012

The phase transition occurring when a single polymer chain adsorbed at a planar solid surface is mechanically desorbed is analyzed in two statistical ensembles. In the force ensemble, a constant force applied to the nongrafted end of the chain (that is grafted at its other end) is used as a given external control variable. In the $z$-ensemble, the displacement $z$ of this nongrafted end from the surface is taken as the externally controlled variable. Basic thermodynamic parameters, such as the adsorption energy, exhibit a very different behavior as a function of these control parameters. In the thermodynamic limit of infinite chain length the desorption transition with the force as a contro…

Surface (mathematics)Models MolecularPhase transitionMaterials sciencePolymersSurface PropertiesThermodynamicsAdhesivenessRandom walkDisplacement (vector)Phase TransitionChain (algebraic topology)Energy TransferModels ChemicalPhase (matter)DesorptionThermodynamic limitThermodynamicsComputer SimulationAdsorptionPhysical review. E, Statistical, nonlinear, and soft matter physics
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Reply to "comment on 'Monte Carlo simulations for a Lotka-type model with reactant surface diffusion and interactions' ".

2002

As is well known, a wide class of physical problems, including the kinetics of heterogeneous catalytic reactions, is traditionally described in terms of the master equations ~ME!. The definition of ME allows us not only to perform Monte Carlo ~MC! simulations, but also to develop at the same time appropriate analytical methods @mean field~MF!, cluster approximations, etc. #@ 1#. ME is formally defined when all possible states of a system and the transition rates between these states are specified. This is enough to define only the transition rates K(i! j ) for such elementary processes as particle adsorption, desorption, diffusion, reaction, etc., from the initial state i to the final state…

Surface diffusionMonte Carlo methodMaster equationCluster (physics)State (functional analysis)Statistical physicsType (model theory)Diffusion (business)Random walkMathematicsPhysical review. E, Statistical, nonlinear, and soft matter physics
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