Search results for " Models"

showing 10 items of 4240 documents

Energy self-consumers and renewable energy communities in Italy: New actors of the electric power systems

2021

Abstract The new European Directive RED-II on the promotion of the use of renewable energy sources has introduced the concept of the Renewable Energy Community. This new entity has the potential to change the relations among end-users and the latter and the other actors of the energy sector. In particular, the electrical sector appears the most influenced by the implementation of this paradigm. Indeed, the need for self-consumption and for exploiting the full potential of renewable energy in a Renewable Energy Community influences how the end-users exchange energy with the power grid, the rules for their connection to the grid, the implementation of Demand Response and other energy manageme…

Self-consumptionRenewable Energy Sustainability and the Environmentbusiness.industryEnergy managementContext (language use)Environmental economicsBusiness modelDirectiveGridBusiness modelsRenewable energyProsumersDemand responseSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaElectric power systemEnergy communitiesbusiness
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Neural networks for animal science applications: Two case studies

2006

Abstract Artificial neural networks have shown to be a powerful tool for system modelling in a wide range of applications. In this paper, we focus on neural network applications to intelligent data analysis in the field of animal science. Two classical applications of neural networks are proposed: time series prediction and clustering. The first task is related to the prediction of weekly milk production in goat flocks, which includes a knowledge discovery stage in order to analyse the relative relevance of the different variables. The second task is the clustering of goat flocks; it is used to analyse different livestock surveys by using self-organizing maps and the adaptive resonance theo…

Self-organizing mapArtificial neural networkbusiness.industryComputer scienceTime delay neural networkDeep learningGeneral EngineeringMachine learningcomputer.software_genreComputer Science ApplicationsProbabilistic neural networkAdaptive resonance theoryAnimal scienceArtificial IntelligenceMultilayer perceptronCellular neural networkArtificial intelligenceData miningTypes of artificial neural networksbusinessCluster analysiscomputerNervous system network modelsExpert Systems with Applications
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Semi-parametric estimation of the intensity function in space-time point processes

2009

Semi-parametric estimation seismic models predictive estimates likelihood function
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Alpha1-antitrypsin heterozygosity plays a positive role in attainment of longevity.

2007

Genes involved in cardiovascular diseases (CVD) play an opposite role in human longevity. The alpha1-antitrypsin (AAT) is a serine-protease inhibitor required for the prevention of proteolytic tissue damage, by neutrophil elastase. The role of AAT in CVD has not been definitively assessed and its effect on longevity has not yet fully been studied. To clarify these points, we have studied the distribution of AAT allele variants in 3 cohorts: 127 young patients affected by acute myocardial infarction (AMI), 255 young controls and 143 centenarians from Sicily. The Z allele frequency was most frequent in centenarians (13.3%), intermediate in healthy young controls (3.1%) and less frequent in AM…

SenescenceAdultMalemedicine.medical_specialtyAgingHeterozygotemedia_common.quotation_subjectPopulationLongevityMyocardial InfarctionBiologyGastroenterologyRisk AssessmentLoss of heterozygosityCohort StudiesGene FrequencyRisk FactorsAAT Serine-protease inhibitor AMI Longevity CentenariansInternal medicineGenotypemedicineHumansGenetic Predisposition to Diseasecardiovascular diseasesAlleleRisk factoreducationAllele frequencySicilymedia_commonSettore MED/04 - Patologia GeneraleGeneticsAged 80 and overeducation.field_of_studyLongevityMiddle AgedSettore MED/11 - Malattie Dell'Apparato CardiovascolareLogistic ModelsCase-Control Studiesalpha 1-AntitrypsinFemaleGeriatrics and GerontologyGerontologyBiogerontology
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Synthetic lethal metabolic targeting of cellular senescence in cancer therapy.

2013

Activated oncogenes and anticancer chemotherapy induce cellular senescence, a terminal growth arrest of viable cells characterized by S-phase entry-blocking histone 3 lysine 9 trimethylation (H3K9me3). Although therapy-induced senescence (TIS) improves long-term outcomes, potentially harmful properties of senescent tumour cells make their quantitative elimination a therapeutic priority. Here we use the Eµ-myc transgenic mouse lymphoma model in which TIS depends on the H3K9 histone methyltransferase Suv39h1 to show the mechanism and therapeutic exploitation of senescence-related metabolic reprogramming in vitro and in vivo. After senescence-inducing chemotherapy, TIS-competent lymphomas but …

SenescenceMaleLymphoma B-CellTransgeneApoptosisMice TransgenicMiceUbiquitinStress PhysiologicalAutophagyAnimalsCaspase 12Cellular SenescenceMultidisciplinarybiologyCaspase 3Endoplasmic reticulumAutophagyEndoplasmic Reticulum StressSurvival RateDisease Models AnimalHistoneGlucoseBiochemistryHistone methyltransferaseProteolysisUnfolded protein responsebiology.proteinCancer researchFemaleNature
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Selection of the Best Subset of Variables in Regression and Time Series Models

2009

The problem of variable selection is one of the most pervasive model selection problems in statistical applications. Often referred to as the problem of subset selection, it arises when one wants to model the relationship between a variable of interest and a subset of potential explanatory variables or predictors, but there is uncertainty about which subset to use. Several papers have dealt with various aspects of the problem but it appears that the typical regression user has not benefited appreciably. One reason for the lack of resolution of the problem is the fact that it is has not been well defined. Indeed, it is apparent that there is not a single problem, but rather several problems …

Series (mathematics)StatisticsDesign matrixErrors-in-variables modelsRegression analysisCross-sectional regressionSelection (genetic algorithm)RegressionMathematics
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SINGLE FACTOR STOCHASTIC MODELS WITH SEASONALITY APPLIED TO UNDERLYING WEATHER DERIVATIVES VARIABLES

2003

This paper estimates single factor stochastic models describing daily air temperature behaviour. We modify classical financial models to reflect temperature seasonality and fit them to a time series representing temperatures in Spain. The estimated models are used in Montecarlo simulations to obtain heating and cooling degree-days, which are used as an underlying reference in weather derivatives. The final goal of this work is to obtain an insight into weather derivative valuation, and so making it easier to manage economic activity risks closely related to temperature (i.e. oil, gas and electricity prices and volumes). En este trabajo se estiman modelos estocásticos unifactoriales que desc…

Series (mathematics)Stochastic modellingMonte Carlo methodSingle factorWeather derivativeGrados Día Frío Energía Grados Día Calor Estacionalidad Modelos estocásticos y Derivados de la meteorología. Cooling Degree-days Energy Heating Degree-days Seasonality Stochastic Models Weather Derivatives.Seasonalitymedicine.diseasejel:G12jel:G10Valuation (logic)EconometricsmedicineEnvironmental scienceFinancial modelingHeating degree dayFinanceMathematics
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Endotoxaemia resulting from decreased serotonin tranporter (5-HTT) function: A reciprocal risk factor for depression and insulin resistance?

2015

International audience; Depression and diabetes are serious diseases with an increasing global prevalence. Intriguingly, recent meta-analyses have highlighted an asymmetrical relationship between the two conditions as depressed patients were found to display a higher risk of developing type 2 diabetes than those individuals suffering from diabetes are to become depressed. Based on recent findings, we favor a hypothesis where by decreased peripheral serotonin (5-HT) transporter (5-HTT) function is a reciprocal risk factor for the comorbidity of depression and diabetes, as it can trigger inflammatory pathogenetic mechanisms of both conditions. Higher intestinal levels of 5-HT and 5-HT3 recept…

Serotoninmedicine.medical_specialty5-HTAntidepressantComorbidityType 2 diabetesBehavioral NeuroscienceInsulin resistanceDiabetes mellitusInternal medicineAnimal models of depressionmedicineAnimalsHumansDepression (differential diagnoses)Serotonin Plasma Membrane Transport ProteinsInflammationIntestinal permeabilitybiologybusiness.industryDepressionInsulin resistancemedicine.diseaseAntidepressive AgentsReceptor InsulinEndotoxemia3. Good healthInsulin receptorEndocrinologyDiabetes Mellitus Type 2Immunologybiology.proteinAntidepressant[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Receptors Serotonin 5-HT3businessSignal Transduction
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Phenotypic and genotypic characterization of a new fish-virulent Vibrio vulnificus serovar that lacks potential to infect humans.

2007

Vibrio vulnificus is a bacterial species that is virulent for humans and fish. Human isolates are classified into biotypes 1 and 3 (BT1 and BT3) and fish isolates into biotype 2 (BT2). However, a few human infections caused by BT2 isolates have been reported worldwide (zoonosis). These BT2 human isolates belong to serovar E (SerE), which is also present in diseased fish. The aim of the present work was to characterize a new BT2 serovar [serovar A (SerA)], which emerged in the European fish-farming industry in 2000, by means of phenotypic, serological and genetic [plasmid profiling, ribotyping and random amplified polymorphic DNA (RAPD)] methodologies. The results confirmed that SerA constit…

SerotypeDNA BacterialLipopolysaccharidesGenotypeVirulenceVibrio vulnificusMicrobiologyRibotypingMicrobiologySerologyRibotypingFish DiseasesMiceGenotypemedicineAnimalsCluster AnalysisHumansSerum Bactericidal TestSerotypingVibrio vulnificusMice Inbred BALB CEelsbiologyVirulenceZoonosisbiology.organism_classificationmedicine.diseaseDNA FingerprintingRAPDRandom Amplified Polymorphic DNA TechniqueDisease Models AnimalPhenotypeVibrio InfectionsPlasmidsMicrobiology (Reading, England)
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Genomic Epidemiology of Salmonella Infantis in Ecuador: From Poultry Farms to Human Infections

2020

Salmonella enterica is one of the most important foodborne pathogens around the world. In the last years, S. enterica serovar Infantis has become an important emerging pathogen in many countries, often as multidrug resistant clones. To understand the importance of S. enterica in the broiler industry in Ecuador, we performed a study based on phenotypic and WGS data of isolates from poultry farms, chicken carcasses and humans. We showed a high prevalence of S. enterica in poultry farms (41.4%) and chicken carcasses (55.5%), but a low prevalence (1.98%) in human samples. S. Infantis was shown to be the most prevalent serovar with a 98.2, 97.8, and 50% in farms, foods, and humans, respectively,…

SerotypeVeterinary medicinemegaplasmidEpidemiologyBioinformatica & DiermodellenVirulenceBiologybroilerAntibiotic resistancePlasmidBio-informatics & Animal modelsEpidemiology Bio-informatics & Animal modelsOriginal ResearchHost Pathogen Interaction & DiagnosticsEpidemiologielcsh:Veterinary medicineGeneral VeterinaryMolecular epidemiologybusiness.industryBacteriologieSalmonella InfantisBacteriologyBacteriology Host Pathogen Interaction & DiagnosticsPoultry farmingbiology.organism_classificationHost Pathogen Interactie & DiagnostiekMultiple drug resistanceST32Salmonella entericaEpidemiologie Bioinformatica & DiermodellenBacteriologie Host Pathogen Interactie & Diagnostieklcsh:SF600-1100Veterinary ScienceEcuadorbusinessmultidrug resistance (MDR)WGSFrontiers in Veterinary Science
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