Search results for "regression"

showing 10 items of 2619 documents

A clear sky atmospheric model valid for the mediterranean zone

1988

Abstract The ASHRAE clear sky model in the version proposed by G.L. Powell has been applied to a set of clear days from two coastal locations of Yugoslavia. The results have provided further elements to confirm the existence of a clear sky atmospheric model valid for the whole Mediterranean zone. This model is characterized by values of the atmospheric extinction coefficient higher than the corresponding ASHRAE ones with upper limits defined by the regression curve derived by using data of Palermo.

Mediterranean climateMeteorologybusiness.industrymedia_common.quotation_subjectGeneral EngineeringAtmospheric modelMolar absorptivityAtmospheric sciencesSolar energySkyASHRAE 90.1Environmental sciencebusinessRegression curvemedia_commonSolar & Wind Technology
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Seasonal patterns of biodiversity in Mediterranean coastal lagoons

2019

Aim: Understanding and quantifying the seasonal patterns in biodiversity of phyto- benthos, macro-zoobenthos and fishes in Mediterranean coastal lagoons, and the species dependence upon environmental factors. Location: The study was carried out in the “Stagnone di Marsala e Saline di Trapani e Paceco,” the largest coastal lagoon system in the central Mediterranean Sea (Sicily, Italy), a Special Protection Area located along one of the central ecological corridors joining Africa and Europe. Methods: The coastal lagoon system was selected as a model ecosystem to investi- gate the seasonal variations in biodiversity indices and dominance–diversity relation- ships in phytobenthos, macro-zoobent…

Mediterranean climatefishSettore BIO/07 - EcologiaEcologySettore BIO/02 - Botanica SistematicaBiodiversityCommunity structureartificial neural networks biodiversity climate change community structure confirmatory path analysis fish lagoon systems phytobenthos ridge regression zoobenthosClimate changelagoon systemsartificial neural networks; biodiversity; climate change; community structure; confirmatory path analysis; fish; lagoon systems; phytobenthos; ridge regression; zoobenthosclimate changeridge regressionEnvironmental scienceFish <Actinopterygii>zoobenthoscommunity structureconfirmatory path analysisartificial neural networksEcology Evolution Behavior and Systematicsbiodiversityphytobenthos
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Statistical features and perceived similarity of folk melodies

2001

Listeners are sensitive to pitch distributional information in music (N. Oram &amp; L. L. Cuddy, 1995; C. L. Krumhansl, J. Louhivuori, P.Toiviainen, T. Järvinen, &amp; T. Eerola, 1999). However, it is uncertain whether frequency-based musical features are sufficient to explain the similarity judgments that underlie listeners' classification processes. A similarity rating experiment was designed to determine the effectiveness of these features in predicting listeners' similarity ratings. The material consisted of 15 melodies representing five folk music styles. A multiple regression analysis showed that the similarity of frequency-based musical properties could account for a moderate amount …

MelodySimilarity (network science)Speech recognitionStatisticsA moderate amountRegression analysisPsychologyMusicFolk music
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Sensitivity and uncertainty analysis of an integrated ASM2d MBR model for wastewater treatment

2018

Abstract An integrated membrane bioreactor (MBR) model was previously proposed and tested. The model provides a comprehensive and detailed description of the nitrogen biological removal processes with respect to up-to-date literature. This paper presents a sensitivity and uncertainty analysis aimed at identifying the key factors affecting the variability of the model predictions. The Standardized Regression Coefficients (SRC) method was adopted for the sensitivity analysis. The uncertainty analysis was employed by running Monte Carlo simulations by varying only the value of the key factors affecting the model outputs. The sensitivity analysis combined with the uncertainty analysis applied h…

Membrane foulingDenitrificationGeneral Chemical Engineering0208 environmental biotechnologyMonte Carlo method02 engineering and technology010501 environmental sciencesMembrane bioreactor01 natural sciencesIndustrial and Manufacturing EngineeringASMLinear regressionEnvironmental ChemistryChemical Engineering (all)Uncertainty analysis0105 earth and related environmental sciencesSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleChemistry (all)General ChemistryMembrane modelling020801 environmental engineeringKey factorsModel uncertaintyEnvironmental scienceSewage treatmentNitrificationBiochemical engineeringChemical Engineering Journal
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Correlations and predictors of menarche age

1987

In a cross-sectional study of 452 girls between 10 and 16 years of age 36 indices of physical and 50 of mental development were tested for their correlation with age at menarche and chronological age, as well as for their predictive power for estimating menarche by multiple regression analysis. Indices of physical maturity and body weight when adjusted for chronological age showed the highest partial correlation coefficients with age at menarche. Among mental characters which show lower intercorrelations with menarche occurred the highest correlation coefficients for a handmotor factor "Spurennachzeichnen" and a factor "Gruppenabhangigkeit" (which indicates a type of social motivation). In …

Mental developmentPhysical Maturitybusiness.industryRegression analysisBone ageGeneral MedicineAnthropometryCorrelationAnthropologyMenarcheMedicineAnimal Science and ZoologybusinessEcology Evolution Behavior and SystematicsPartial correlationDemographyAnthropologischer Anzeiger
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Use of Silica Based Materials as Modulators of the Lipase Catalyzed Hydrolysis of Fats under Simulated Duodenal Conditions

2020

[EN] The effect of silica materials and their functionalization in the lipase catalyzed fat hydrolysis has been scarcely studied. Fifteen silica materials were prepared and their effect on the fat hydrolysis was measured, under simulated duodenal conditions, using the pH-stat method. The materials are composed of the combination of three supports (Stober massive silica nanoparticles, Stober mesoporous nanoparticles and UVM-7) and four surface functionalizations (methyl, trimethyl, propyl and octyl). In addition, the non-functionalized materials were tested. The functional groups were selected to offer a hydrophobic character to the material improving the interaction with the fat globules an…

Mesoporous silica nanoparticleTECNOLOGIA DE ALIMENTOSGeneral Chemical EngineeringNanoparticleUVM-7ArticleCatalysislcsh:ChemistryHydrolysisQUIMICA ORGANICAlipaseOrganic chemistryPartial Least Square RegressionGeneral Materials ScienceGlobules of fatfat hydrolysisLipaseAlkylchemistry.chemical_classificationFat hydrolysisbiologyChemistryNanotecnologiaLipaseStöberlcsh:QD1-999biology.proteinmesoporous silica nanoparticleSurface modificationMaterials nanoestructuratsEnzimsMesoporous materialNanomaterials
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Phenolic and microbial-targeted metabolomics to discovering and evaluating wine intake biomarkers in human urine and plasma

2014

The discovery of biomarkers of intake in nutritional epidemiological studies is essential in establishing an association between dietary intake (considering their bioavailability) and diet-related risk factors for diseases. The aim is to study urine and plasma phenolic and microbial profile by targeted metabolomics approach in a wine intervention clinical trial for discovering and evaluating food intake biomarkers. High-risk male volunteers (n = 36) were included in a randomized, crossover intervention clinical trial. After a washout period, subjects received red wine or gin, or dealcoholized red wine over four weeks. Fasting plasma and 24-h urine were collected at baseline and after each i…

MetaboliteClinical BiochemistryWineUrineUrineBlood plasmaBiochemistryAnalytical Chemistrychemistry.chemical_compoundMetabolomicsMetabolitesViGallic acidFood scienceDietoteràpiaWineChromatographyBiochemical markersDiet therapyArea under the curvePlasma sanguiniStepwise regressionMetabòlitsOrinaBioavailabilitychemistryMarcadors bioquímics
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Immunoassays for trifloxystrobin analysis. Part II. Assay development and application to residue determination in food.

2014

Immunochemical assays constitute complementary analytical methods for small organic molecule determination. We herein describe the characterisation and optimisation of two competitive enzyme-linked immunosorbent assays in different formats using monoclonal antibodies to the Quinone outside inhibitor (QoI) fungicide trifloxystrobin. Antibody selectivity was evaluated using a variety of agrochemicals and the main trifloxystrobin metabolite. Acceptable tolerance of the immunoassay to methanol, ethanol, and acetonitrile was observed in all cases, whereas a dissimilar influence of buffer pH and ionic strength was found. Moreover, the influence of Tween 20 over the analytical parameters was studi…

MetaboliteTrifloxystrobin metaboliteEnzyme-Linked Immunosorbent AssayAcetatesAnalytical ChemistryDeming regressionchemistry.chemical_compoundmedicineStrobilurinDetection limitImmunoassayResidue (complex analysis)ChromatographyPesticide residuesPesticide residuemedicine.diagnostic_testMolecular StructureChemistrycELISA formatGeneral MedicineStrobilurinsHaptenIonic strengthImmunoassayStrobilurinMethacrylatesIminesHaptenFood AnalysisFood ScienceFood chemistry
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Data fusion analysis applied to different climate change models: An application to the energy consumptions of a building office

2019

Abstract The paper aims to achieve the modelling of climate change effects on heating and cooling in the building sector, through the use of the available Intergovernmental Panel on Climate Change forecasted data. Data from several different climate models will be fused with regards to mean air temperature, wind speed and horizontal solar radiation. Several climatic models data were analysed ranging from January 2006 to December 2100. Rather than considering each model in isolation, we propose a data fusion approach for providing a robust combined model for morphing an existing weather data file. The final aim is simulating future energy use for heating and cooling of a reference building a…

Meteorology020209 energyMechanical Engineering0211 other engineering and technologiesClimate change02 engineering and technologyBuilding and ConstructionOverfittingSensor fusionWind speedData setRobustness (computer science)021105 building & construction0202 electrical engineering electronic engineering information engineeringEnvironmental scienceClimate modelClimate change Building simulation Heating and cooling Data fusion IPCC Regression Elastic netElectrical and Electronic EngineeringPredictive modellingCivil and Structural Engineering
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Mapping daily global solar irradiation over Spain: A comparative study of selected approaches

2011

Abstract Three methods to estimate the daily global solar irradiation are compared: the Bristow–Campbell (BC), Artificial Neural Network (ANN) and Kernel Ridge Regression (KRR). BC is an empirical approach based on air maximum and minimum temperature. ANN and KRR are non-linear approaches that use temperature and precipitation data (which have been selected as the best combination of input data from a gamma test). The experimental dataset includes 4 years (2005–2008) of daily irradiation collected at 40 stations and temperature and precipitation data collected at 400 stations over Spain. Results show that the ANN method produces the best global solar irradiation estimates, with a mean absol…

MeteorologyArtificial neural networkRenewable Energy Sustainability and the EnvironmentKrigingKernel ridge regressionMean absolute errorEnvironmental scienceGeneral Materials ScienceIrradiationPrecipitationImage resolutionSolar Energy
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