Search results for "Tributi"

showing 10 items of 6415 documents

Modeling Chickenpox Dynamics with a Discrete Time Bayesian Stochastic Compartmental Model

2018

[EN] We present a Bayesian stochastic susceptible-exposed-infectious-recovered model in discrete time to understand chickenpox transmission in the Valencian Community, Spain. During the last decades, different strategies have been introduced in the routine immunization program in order to reduce the impact of this disease, which remains a public health's great concern. Under this scenario, a model capable of explaining closely the dynamics of chickenpox under the different vaccination strategies is of utter importance to assess their effectiveness. The proposed model takes into account both heterogeneous mixing of individuals in the population and the inherent stochasticity in the transmiss…

Article SubjectGeneral Computer ScienceComputer scienceComputationBayesian probabilityPosterior probabilityPopulation01 natural scienceslcsh:QA75.5-76.95010305 fluids & plasmas010104 statistics & probabilityMixing (mathematics)0103 physical sciencesmedicineEconometrics0101 mathematicseducationeducation.field_of_studyMultidisciplinaryChickenpoxPrediction intervalmedicine.diseaseVaccinationDiscrete time and continuous timePosterior predictive distributionlcsh:Electronic computers. Computer scienceMATEMATICA APLICADA
researchProduct

Unit Interval Time and Magnitude Monitoring Using Beta and Unit Gamma Distributions

2022

Quick detection of an assignable cause is necessary for process accuracy with respect to the specifications. The aim of this study is to monitor the time and magnitude processes based on unit-interval data. To this end, maximum exponentially weighted moving average (Max-EWMA) control chart for simultaneous monitoring time and magnitude of an event is proposed. To be precise, beta and unit gamma distributions are considered to develop the Max-EWMA chart. The chart’s performance is accessed using average run length (ARL), the standard deviation of run length (SDRL), and different quantiles of the run length distribution through extensive Monte Carlo simulations. Besides a comprehensive simula…

Article SubjectSettore SECS-S/02 - Statistica Per La Ricerca Sperimentale E TecnologicaGeneral Mathematicsprocess accuracy beta distribution gamma distributionJournal of Mathematics
researchProduct

Using machine learning to disentangle LHC signatures of Dark Matter candidates

2019

We study the prospects of characterising Dark Matter at colliders using Machine Learning (ML) techniques. We focus on the monojet and missing transverse energy (MET) channel and propose a set of benchmark models for the study: a typical WIMP Dark Matter candidate in the form of a SUSY neutralino, a pseudo-Goldstone impostor in the shape of an Axion-Like Particle, and a light Dark Matter impostor whose interactions are mediated by a heavy particle. All these benchmarks are tensioned against each other, and against the main SM background ($Z$+jets). Our analysis uses both the leading-order kinematic features as well as the information of an additional hard jet. We explore different representa…

Artificial neural network010308 nuclear & particles physicsbusiness.industryComputer sciencePhysicsQC1-999Dark matterFOS: Physical sciencesGeneral Physics and AstronomySupersymmetryMachine learningcomputer.software_genre01 natural sciencesConvolutional neural networkHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)Robustness (computer science)0103 physical sciencesPrincipal component analysisProbability distributionArtificial intelligence010306 general physicsbusinessLight dark mattercomputerSciPost Physics
researchProduct

State classification for autonomous gas sample taking using deep convolutional neural networks

2017

Despite recent rapid advances and successful large-scale application of deep Convolutional Neural Networks (CNNs) using image, video, sound, text and time-series data, its adoption within the oil and gas industry in particular have been sparse. In this paper, we initially present an overview of opportunities for deep CNN methods within oil and gas industry, followed by details on a novel development where deep CNN have been used for state classification of autonomous gas sample taking procedure utilizing an industrial robot. The experimental results — using a deep CNN containing six layers — show accuracy levels exceeding 99 %. In addition, the advantages of using parallel computing with GP…

Artificial neural networkComputer sciencebusiness.industryProperty (programming)Feature extraction0102 computer and information sciences02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesConvolutional neural networklaw.inventionImage (mathematics)Industrial robot020401 chemical engineeringComputer engineering010201 computation theory & mathematicslawProbability distributionArtificial intelligenceState (computer science)0204 chemical engineeringbusinesscomputer2017 25th Mediterranean Conference on Control and Automation (MED)
researchProduct

Testing the shape-similarity hypothesis between partide-size distribution and water retention for sicilian soils

2012

Application of the Arya and Paris (AP) model to estimate the soil water retention curve requires a detailed description of the particlesize distribution (PSD) but limited experimental PSD data are generally determined by the conventional sieve-hydrometer (SH) method. Detailed PSDs can be obtained by fitting a continuous model to SH data or performing measurements by the laser diffraction (LD) method. The AP model was applied to 40 Sicilian soils for which the PSD was measured by both the SH and LD methods. The scale factor was set equal to 1.38 (procedure AP1) or estimated by a logistical model with parameters gathered from literature (procedure AP2). For both SH and LD data, procedure AP2 …

Arya and Paris modelSoil water retention curveLaser diffraction methodSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliParticle size distribution
researchProduct

Four Remarkable Additions to the Biodiversity of Chinese Mosses

2022

Four species of moss genus Schistidium are reported for the first time from China. All of them have been found in the Xinjiang Uyghur Autonomous Region. Ecological and distributional details of the newly recorded species are provided and their local distribution is mapped. Photographs of the species are attached. Checklist of Schistidium species and identifying key are added. Considering the present records, Schistidium consists of 15 species in China.

AsiaEcologychecklist; identifying keyphytogeographydistribution mapsbryophytes; ChinaXinjiang Uyghur Autonomous RegionMusciPlant ScienceSchistidiumAsia; bryophytes; China; distribution maps; Musci; phytogeography; <i>Schistidium</i>; Xinjiang Uyghur Autonomous Region; checklist; identifying keyEcology Evolution Behavior and SystematicsPlants
researchProduct

On the geographical distribution of pseudocholinesterase variants.

1975

The incidence of pseudocholinesterase (PCHE equals E.C. 3.1.1.8) variants in samples of 8 different population (total of 2218 individuals) is reported. Together with previously mentioned data from the literature, a general survey on the geographical distribution of PCHE isoenzymes is given. Possible reasons for present-day heterogeneity of their distribution are also discussed. Concerning the incidence of the C5 variant, it is pointed out that the validity of applying population genetic models depends upon the accuracy of the genetic basis.

AsiaNative Hawaiian or Other Pacific IslanderGenotypePopulationDistribution (economics)IndiaBiologyGene FrequencyGenetic modelStatisticsGenetic variationCholinesterasesHumansAlleleeducationBulgariaAllele frequencyMolecular BiologyAlleleseducation.field_of_studybusiness.industryIncidence (epidemiology)Racial GroupsGermany WestGenetic VariationGeneral MedicineEuropeGenetics PopulationButyrylcholinesteraseAfricaAmericasbusinessHumangenetik
researchProduct

Quantitative EEG during Early Recovery from Hypoxic-Ischemic Injury in Immature Piglets: Burst Occurrence and Duration

1999

This study examined the course of EEG recovery in an animal model of hypoxic-ischemic injury. The model used periods of hypoxia, room air and asphyxia to induce cardiac arrest. One-week-old piglets (n = 16) were exposed to a period of hypoxia, room air and complete asphyxia for 7 minutes. After cardiac arrest and resuscitation, two EEG features were evaluated as prognostic indicators of behavioral outcome as assessed by a neuroscore at 24 hours after insult. A prominent EEG feature was the number and duration of bursts evident during recovery. Episodes of bursting were detected through the thresholds on sustained periods of elevated power. After the animal was resuscitated, the EEG was moni…

AsphyxiaResuscitationmedicine.diagnostic_testSwinebusiness.industryElectroencephalographyElectroencephalographyHypoxia (medical)030227 psychiatryQuantitative eeg03 medical and health sciencesBursting0302 clinical medicineAnimal modelAnimals NewbornAnesthesiaHypoxia-Ischemia BrainRoom air distributionmedicineAnimalsNeurology (clinical)medicine.symptombusiness030217 neurology & neurosurgeryClinical Electroencephalography
researchProduct

Influence sur la décision de révocation d'une convention contraire au principe de révocation ad nutum du président du conseil d'administration. - Val…

1996

International audience

AssociéRévocation ad nutum[SHS.DROIT]Humanities and Social Sciences/Law[SHS.DROIT] Humanities and Social Sciences/LawSOCIETEPassif socialPrésidentSOCIETE ANONYMEContribution aux pertesComputingMilieux_MISCELLANEOUSConseil d'administrationConvention contraireActions
researchProduct

GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs

2019

We present the results from three gravitational-wave searches for coalescing compact binaries with component masses above 1$\mathrm{M}_\odot$ during the first and second observing runs of the Advanced gravitational-wave detector network. During the first observing run (O1), from September $12^\mathrm{th}$, 2015 to January $19^\mathrm{th}$, 2016, gravitational waves from three binary black hole mergers were detected. The second observing run (O2), which ran from November $30^\mathrm{th}$, 2016 to August $25^\mathrm{th}$, 2017, saw the first detection of gravitational waves from a binary neutron star inspiral, in addition to the observation of gravitational waves from a total of seven binary …

AstrofísicaDYNAMICSGravitacióneutron star: binaryAstronomyGeneral Physics and AstronomyBinary numberAstrophysicsAstrophysics01 natural sciencesGeneral Relativity and Quantum Cosmology010305 fluids & plasmasgravitational waves black holesAstrophysicSIGNALSPopulation DistributionsLIGOQCQBPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)astro-ph.HESettore FIS/01gravitational radiation detector: networkPROGENITORSPhysicsgravitational wavesPhysical Sciencesastro-ph.CO[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]Astrophysics - High Energy Astrophysical PhenomenaMETALLICITYAstrophysics - Cosmology and Nongalactic AstrophysicsGravitationCosmology and Nongalactic Astrophysics (astro-ph.CO)QC1-999gr-qcAstrophysics::High Energy Astrophysical PhenomenaPhysics MultidisciplinaryFOS: Physical sciencesGeneral Relativity and Quantum Cosmology (gr-qc)Astrophysics::Cosmology and Extragalactic AstrophysicsMASSAstrophysics; GravitationGeneral Relativity and Quantum CosmologyBinary black holebinary: coalescenceSYSTEMS0103 physical sciences010306 general physicsSTFCScience & TechnologyGravitational wavegravitational radiationRCUKGravitational Wave Physicsbinary: compactLIGOEVOLUTIONBlack holeNeutron starVIRGOPhysics and Astronomyblack hole: binarygravitational radiation: emissionBLACK-HOLERADIATIONINFERENCE[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
researchProduct