Search results for " Modelling"

showing 10 items of 1055 documents

Quantitative analysis of the effect of controlled-release formulation on nonlinear gastrointestinal absorption of P-glycoprotein substrate talinolol …

2020

Abstract Oral absorption of talinolol, a substrate of P-glycoprotein (P-gp), from a sustained-release (SR) formulation was reportedly decreased compared to that from an immediate-release (IR) formulation. The aim of this study was to predict and understand the effect of controlled-release formulation on the oral absorption of P-gp substrates by developing a physiologically based pharmacokinetic (PBPK) absorption model incorporating multiple kinetic parameters obtained from in vitro studies, using talinolol as a model substrate. Simulation analysis using the developed PBPK absorption model indicated that the clinically observed marked decrease in the plasma concentration of talinolol adminis…

Absorption (pharmacology)Physiologically based pharmacokinetic modellingChromatographyPharmaceutical ScienceSubstrate (chemistry)02 engineering and technology021001 nanoscience & nanotechnology030226 pharmacology & pharmacyControlled releaseIntestinal absorption03 medical and health scienceschemistry.chemical_compound0302 clinical medicinechemistryPharmacokinetics0210 nano-technologyQuantitative analysis (chemistry)TalinololJournal of Drug Delivery Science and Technology
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Application of the General Model "Biological Nutrient Removal Model No.1" to upgrade two full-scale WWTPs

2012

In this paper, two practical case studies for upgrading two wastewater treatment plants (WWTPs) using the general model BNRM1 (Biological Nutrient Removal Model No. 1) are presented. In the first case study, the Tarragona WWTP was upgraded by reducing the phosphorus load to the anaerobic digester in order to minimize the precipitation problems. Phosphorus load reduction was accomplished by mixing the primary sludge and the secondary sludge and by elutriating the mixed sludge. In the second case study, the Alcantarilla WWTP, the nutrient removal was enhanced by maintaining a relatively low dissolved oxygen concentration in Stage A to maintain the acidogenic bacteria activity. The VFA produce…

AcidogenesisBiological nutrient removalWATER TREATMENT PLANTSAerobic bacteriachemistry.chemical_elementActivated sludge modelPhosphatesWater PurificationWASTE-WATERBNRM1Environmental ChemistryAnaerobiosisOrganic ChemicalsWaste Management and DisposalTECNOLOGIA DEL MEDIO AMBIENTEWater Science and TechnologyCALIBRATIONSewagePhosphorusEnvironmental engineeringGeneral MedicineModels TheoreticalASM2DAerobiosisACTIVATED-SLUDGE MODELActivated sludge modelsEnhanced biological phosphorus removalWastewaterchemistrySIMULATIONPlant-wide mathematical modellingEnvironmental scienceSewage treatmentWater treatmentSanitary EngineeringWWTP upgrading
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Technical Note: Prediction Models of Airborne Sound Insulation of Multilayer Materials with Viscoelastic Thin Sheets

2008

The growing introduction of new insulation materials in building acoustics has caused an increase of the importance of the prediction tools. Appropriate simulations allow strictly necessary laboratory measurements to be identified. In this way, costs are reduced. The demands of new legislation has resulted in the appearance of various software designed to facilitate prediction. The prediction models are based on different hypotheses: adaptation of impedances, spatial behaviour of spectral components, statistical energy distribution, the Finite Element Method (FEM), etc. Each of these models and methods offer advantages and contain limitations. In this paper, different models for prediction…

Acoustics and UltrasonicsComputer sciencebusiness.industryMechanical EngineeringAcousticsMechanical engineeringTechnical noteBuilding and ConstructionViscoelasticityFinite element methodSoundproofingSoftwarebusinessAdaptation (computer science)Electrical impedancePredictive modellingBuilding Acoustics
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Integrated simulation and optimization models for tracking international fixed income indices

2001

Portfolio managers in the international fixed income markets must address jointly the interest rate risk in each market and the exchange rate volatility across markets. This paper develops integrated simulation and optimization models that address these issues in a common framework. Monte Carlo simulation procedures generate jointly scenarios of interest and exchange rates and, thereby, scenarios of holding period returns of the available securities. The portfolio manager’s risk tolerance is incorporated either through a utility function or a (modified) mean absolute deviation function. The optimization models prescribe asset allocation weights among the different markets and also resolve b…

Actuarial scienceGeneral MathematicsFinancial marketAsset allocationStocastich optimization portfolio modelling montecarlo simulationInterest rate riskFixed incomeEconometricsBond marketPortfolioProject portfolio managementVolatility (finance)SoftwareMathematics
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A distributed real-time data prediction and adaptive sensing approach for wireless sensor networks

2018

International audience; Many approaches have been proposed in the literature to reduce energy consumption in Wireless Sensor Networks (WSNs). Influenced by the fact that radio communication and sensing are considered to be the most energy consuming activities in such networks. Most of these approaches focused on either reducing the number of collected data using adaptive sampling techniques or on reducing the number of data transmitted over the network using prediction models. In this article, we propose a novel prediction-based data reduction method. furthermore, we combine it with an adaptive sampling rate technique, allowing us to significantly decrease energy consumption and extend the …

Adaptive samplingComputer Networks and CommunicationsComputer scienceReal-time computing[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technology[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]0202 electrical engineering electronic engineering information engineeringReal-time dataWork (physics)020206 networking & telecommunicationsEnergy consumption[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science Applications[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Hardware and Architecture[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]020201 artificial intelligence & image processing[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Wireless sensor networkSoftwarePredictive modellingEnergy (signal processing)Information SystemsData reductionPervasive and Mobile Computing
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Mid-term trends and recent birth-cohort-dependent changes in incidence rates of cutaneous malignant melanoma in Italy

2020

In Oceania, North America and north-western Europe, after decades of increase, cutaneous malignant melanoma (CMM) rates began to stabilise or decline before 2000. Anecdotal evidence suggests that the reversal of the incidence trend is extending to southern Europe. To obtain a formal confirmation, this nationwide study from Italy investigated the incidence trends by birth cohort. Twenty-one local cancer registries covering a population of 15 814 455 provided incidence data for primary CMM registered between 1994 and 2013. Trends in age-standardised rates were analysed using joinpoint regression models and age-period-cohort models. Age-standardised incidence showed a consistent increase throu…

AdultMaleCancer ResearchSkin NeoplasmsAdolescentAge-period-cohort modelling birth cohort cutaneous malignant melanoma incidence time trendPopulationSocio-culturaleRate ratioSettore MED/42 - Igiene Generale E ApplicataRisk AssessmentYoung Adult03 medical and health sciences0302 clinical medicineage-period-cohort modellingHumansMedicineRegistrieseducationMelanomaAgedAged 80 and overeducation.field_of_studyGeographybusiness.industryIncidence (epidemiology)Melanomabirth cohortMiddle Agedmedicine.diseaseConfidence intervalAnnual Percent Changetime trendItalyOncology030220 oncology & carcinogenesisCohortincidenceFemalebusinessBirth cohortcutaneous malignant melanomaDemography
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Surrogate data analysis of sleep electroencephalograms reveals evidence for nonlinearity

1996

We tested the hypothesis of whether sleep electroencephalographic (EEG) signals of different time windows (164 s, 82 s, 41 s and 20.5 s) are in accordance with linear stochastic models. For this purpose we analyzed the all-night sleep electroencephalogram of a healthy subject and corresponding Gaussian-rescaled phase randomized surrogates with a battery of five non-linear measures. The following nonlinear measures were implemented: largest Lyapunov exponent L1, correlation dimension D2, and the Green-Savit measures delta 2, delta 4 and delta 6. The hypothesis of linear stochastic data was rejected with high statistical significance. L1 and D2 yielded the most pronounced effects, while the G…

AdultMaleCorrelation dimensionGeneral Computer ScienceStochastic modellingModels NeurologicalLyapunov exponentElectroencephalographysymbols.namesakeStatisticsmedicineHumansMathematicsStochastic ProcessesQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testStochastic processbusiness.industryLinear modelElectroencephalographyPattern recognitionNonlinear systemNonlinear DynamicsData Interpretation StatisticalLinear ModelssymbolsSleep (system call)Artificial intelligenceSleepbusinessCyberneticsBiotechnologyBiological Cybernetics
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Natural versus enriched food: Evidence from a laboratory experiment with chewing gum.

2019

Abstract The current study explored consumers' preferences for natural versus enriched foods and identified the underlying driving forces behind consumer interest towards both attributes. A laboratory experiment with 200 respondents was carried out, applying the incentive compatible Becker-DeGroot-Marschak mechanism to measure consumers' willingness to pay for natural and enriched attributes of chewing gum. Empirical findings reveal that the two attributes are evaluated similarly by consumers. Furthermore, structural equation modelling identified a strong interdependence between the natural and the enriched attributes, suggesting they are complementary rather than substitutes/alternatives i…

AdultMaleEnriched FoodEnrichedAdolescentStructural equation modelingChewing GumFood PreferencesYoung AdultWillingness to paySurveys and QuestionnairesSettore AGR/01 - Economia Ed Estimo RuraleFood choiceNatural (music)HumansWillingness to payMarketingBDM mechanismConsumer BehaviorChewing gumConsumer preferenceIncentive compatibilityStructural equation modellingResearch DesignFood FortifiedNaturalFemaleLaboratory experimentPsychologyFood ScienceFood research international (Ottawa, Ont.)
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Optimizing strategies for meningococcal C disease vaccination in Valencia (Spain)

2014

Background: Meningococcal C (MenC) conjugate vaccines have controlled invasive diseases associated with this serogroup in countries where they are included in National Immunization Programs and also in an extensive catch-up program involving subjects up to 20 years of age. Catch-up was important, not only because it prevented disease in adolescents and young adults at risk, but also because it decreased transmission of the bacteria, since it was in this age group where the organism was circulating. Our objective is to develop a new vaccination schedule to achieve maximum seroprotection in these groups. Methods: A recent study has provided detailed age-structured information on the seroprote…

AdultMalePediatricsmedicine.medical_specialtyAdolescentVaccination scheduleMeningococcal VaccinesDiseaseBooster doseMeningococcal vaccineVaccination programsYoung AdultMeningococcal C conjugate vaccinesmedicineHumansYoung adultChildImmunization Programsbusiness.industryIncidence (epidemiology)VaccinationSeroprotection studyMiddle AgedAgent-based modellingMeningococcal InfectionsVaccinationInfectious DiseasesImmunizationSpainChild PreschoolFemaleMATEMATICA APLICADAbusinessResearch ArticleBMC Infectious Diseases
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The use of prediction models of spontaneous pregnancy in in vitro fertilization units reveals differences between the expected results of public and …

2009

To evaluate the applicability of prediction models (PM) of spontaneous pregnancy (SP) in a population of infertile patients from a university-affiliated private assisted reproductive technology center (Instituto Valenciano de Infertilidad) and in the reproductive medicine section of a public university hospital (La Fe), both belonging to the same city (Valencia, Spain) between January and December 2008. We calculated the probability of SP using the PM developed by Hunault et al. in our two populations, and observed an estimated probability of SP40% or the PM applicable in approximately 97% of the studied couples, and statistical differences between pregnancy probabilities in the two setting…

AdultMalemedicine.medical_specialtyPregnancy Ratemedicine.medical_treatmentPopulationRemission SpontaneousReproductive medicineFertilization in VitroHospitals PrivateSpontaneous pregnancyPregnancymedicineHumanseducationRetrospective StudiesGynecologyPregnancyeducation.field_of_studyFamily CharacteristicsIn vitro fertilisationAssisted reproductive technologyModels Statisticalbusiness.industryHospitals PublicObstetrics and Gynecologymedicine.diseasePrognosisTreatment OutcomeReproductive MedicineSpainInfertilityPublic universityFemalebusinessPredictive modellingDemographyFertility and sterility
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