Search results for "reduction"

showing 10 items of 2058 documents

Effect of C/N shock variation on the performances of a moving bed membrane bioreactor.

2015

Abstract The effect of a sharp variation of C/N ratio in a moving bed membrane bioreactor (MB-MBR) pilot plant treating high strength wastewater has been investigated. The experimental campaign was divided into two periods, each characterized by a different C/N ratio (namely, 2.5 and 15, Period 1 and Period 2, respectively). The MB-MBR system was analyzed in terms of organic carbon removal, nitrification efficiency, biokinetic activity and fouling behavior. The results showed that the nitrification process was severely affected by lower C/N value and by high concentration of ammonia. It was noticed an extensive stress effect on the autotrophic bacteria. Furthermore, it was observed an incre…

Moving bed membrane bioreactorEnvironmental EngineeringBiofoulingNitrogenOLRBioengineeringPilot ProjectsC/N ratio; Moving bed membrane bioreactor; Nitrification; OLR; Bioengineering; Environmental Engineering; Waste Management and DisposalMembrane bioreactorWaste Disposal FluidAmmoniachemistry.chemical_compoundExtracellular polymeric substanceBiopolymersBioreactorsAmmoniaBioreactorBiomassWaste Management and DisposalBiological Oxygen Demand AnalysisChromatographyFoulingBacteriaRenewable Energy Sustainability and the EnvironmentChemistryMembranes ArtificialGeneral MedicineC/N ratioNitrificationCarbonMembraneChemical engineeringBiofilmsNitrificationOxidation-ReductionParticle depositionBioresource technology
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A label compression method for online multi-label classification

2018

Abstract Many modern applications deal with multi-label data, such as functional categorizations of genes, image labeling and text categorization. Classification of such data with a large number of labels and latent dependencies among them is a challenging task, and it becomes even more challenging when the data is received online and in chunks. Many of the current multi-label classification methods require a lot of time and memory, which make them infeasible for practical real-world applications. In this paper, we propose a fast linear label space dimension reduction method that transforms the labels into a reduced encoded space and trains models on the obtained pseudo labels. Additionally…

Multi-label classificationCurrent (mathematics)business.industryComputer sciencePattern recognition02 engineering and technologySpace (commercial competition)Compression methodTask (project management)Reduction (complexity)ComputingMethodologies_PATTERNRECOGNITIONArtificial Intelligence020204 information systemsSignal Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwarePattern Recognition Letters
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Suffixes, Conjugates and Lyndon Words

2013

In this paper we are interested in the study of the combinatorial aspects connecting three important constructions in the field of string algorithms: the suffix array, the Burrows-Wheeler transform (BWT) and the extended Burrows-Wheeler transform (EBWT). Such constructions involve the notions of suffixes and conjugates of words and are based on two different order relations, denoted by $\plex$ and $\pom$, that, even if strictly connected, are quite different from the computational point of view. In this study an important role is played by Lyndon words. In particular, we improve the upper bound on the number of symbol comparisons needed to establish the $\pom$ order between two primitive wo…

MultisetReduction (recursion theory)BWT; Lyndon factorization; Suffix ArrayString (computer science)Suffix arrayLyndon words Lyndon factorization BWT Suffix array EBWT Circular words ConjugacyLexicographical orderlaw.inventionSuffix ArrayCombinatoricsBWTLyndon factorizationlawOrder (group theory)Symbol (formal)Word (group theory)Mathematics
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Association between climate and new daily diagnoses of COVID-19

2020

AbstractBackgroundAlthough evidence is accumulating that climate conditions may positively or negatively influence the scale of coronavirus disease 2019 (COVID-19) outbreaks, uncertainty remains concerning the real impact of climate factors on viral transmission. Methods. The number of new daily cases of COVID-19 diagnosed in Verona (Italy) was retrieved from the official website of Veneto Region, while information on daily weather parameters in the same area was downloaded from IlMeteo website, a renowned Italian technological company specialized in weather forecasts. The search period ranged between March 1 to November 11, 2020. The number of new daily COVID-19 cases and meteorological da…

Multivariate analysisCoronavirus disease 2019 (COVID-19)Leadership and ManagementStrategy and Management2020. The number of new daily COVID-19 cases and meteorological data in Verona were correlated using both univariate and multivariate analysis. Results: The number of daily COVID-19 diagnoses in Verona was positively associated with the number of days in lockdown and humidity1% decrease in humidityWind speedmin and max temperatureand influence the likelihood or course of local COVID-19 outbreaks. Preventive measuresHealth Information Managementa renowned Italian technological company specialized in weather forecasts. The search period ranged between March 1 and November 11mean air temperature1.2% and 5.4% reduction in new COVID-19 daily diagnoses. A significant difference was observed in values of all-weather parameters recorded in Verona between days with &ltHealth Policy1 km/h increase in wind speed and day with rainfall were independently associated with 1.0%Significant differencehumidityUnivariateOutbreakHumidityand inversely correlated with meanmean wind speed and number of days with rainfall. Days of lockdownwhile information on daily weather parameters in the same area was downloaded from IlMeteo websitetesting policies and hospital preparedness should be reinforced during periods of higher meteorological risk and in local environments with adverse climate conditions.Background: Although evidence is accumulating that climate conditions may positively or negatively influence the scale of coronavirus disease 2019 (COVID-19) outbreaks0.3%uncertainty remains concerning the real impact of climate factors on viral transmission. Methods: The number of new daily cases of COVID-19 diagnosed in Verona (Italy) was retrieved from the official website of Veneto RegionGeography100 or ≥100 new daily COVID-19 diagnoses. Conclusions: Climate conditions may play an essential role in conditions of viral transmissionAir temperaturemean wind speed and number of days with rainfall remained significantly associated in multivariate analysis. The four weather parameters contributed to explaining 61% of variance in new daily COVID-19 diagnoses. Each 1% increase in air temperatureBackground: Although evidence is accumulating that climate conditions may positively or negatively influence the scale of coronavirus disease 2019 (COVID-19) outbreaks uncertainty remains concerning the real impact of climate factors on viral transmission. Methods: The number of new daily cases of COVID-19 diagnosed in Verona (Italy) was retrieved from the official website of Veneto Region while information on daily weather parameters in the same area was downloaded from IlMeteo website a renowned Italian technological company specialized in weather forecasts. The search period ranged between March 1 and November 11 2020. The number of new daily COVID-19 cases and meteorological data in Verona were correlated using both univariate and multivariate analysis. Results: The number of daily COVID-19 diagnoses in Verona was positively associated with the number of days in lockdown and humidity and inversely correlated with mean min and max temperature mean wind speed and number of days with rainfall. Days of lockdown mean air temperature humidity mean wind speed and number of days with rainfall remained significantly associated in multivariate analysis. The four weather parameters contributed to explaining 61% of variance in new daily COVID-19 diagnoses. Each 1% increase in air temperature 1% decrease in humidity 1 km/h increase in wind speed and day with rainfall were independently associated with 1.0% 0.3% 1.2% and 5.4% reduction in new COVID-19 daily diagnoses. A significant difference was observed in values of all-weather parameters recorded in Verona between days with <100 or ≥100 new daily COVID-19 diagnoses. Conclusions: Climate conditions may play an essential role in conditions of viral transmission and influence the likelihood or course of local COVID-19 outbreaks. Preventive measures testing policies and hospital preparedness should be reinforced during periods of higher meteorological risk and in local environments with adverse climate conditions.DemographyJournal of Hospital Management and Health Policy
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Digital simulation of multivariate earthquake ground motions

2000

In this paper a new generation procedure of multivariate earthquake ground motion is presented. The technique takes full advantage of the decomposition of the power spectral density matrix by means of its eigenvectors. The application of the method to multivariate ground accelerations shows some very interesting physical properties which allows one to obtain significant reduction of the computational effort in the generation of sample functions relative to multivariate earthquake ground motion processes. Copyright © 2000 John Wiley & Sons, Ltd.

Multivariate statisticsMathematical modelbusiness.industryComputer scienceSpectral densityGeotechnical Engineering and Engineering GeologyVibrationMatrix (mathematics)Earthquake simulationEarth and Planetary Sciences (miscellaneous)TelecommunicationsbusinessReduction (mathematics)AlgorithmEigenvalues and eigenvectorsEarthquake Engineering & Structural Dynamics
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Testing different methodologies for Granger causality estimation: A simulation study

2021

Granger causality (GC) is a method for determining whether and how two time series exert causal influences one over the other. As it is easy to implement through vector autoregressive (VAR) models and can be generalized to the multivariate case, GC has spread in many different areas of research such as neuroscience and network physiology. In its basic formulation, the computation of GC involves two different regressions, taking respectively into account the whole past history of the investigated multivariate time series (full model) and the past of all time series except the putatively causal time series (restricted model). However, the restricted model cannot be represented through a finit…

Multivariate statisticsstate space modelsSeries (mathematics)Computer scienceGranger causality; state space modelsDynamical NetworksMultivariate Time SeriesReduction (complexity)Autoregressive modelGranger causalitySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityState spaceConditioningTime seriesVector Autoregressive ProcessesAlgorithm2020 28th European Signal Processing Conference (EUSIPCO)
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Ethanol cycle in an ethanologenic bacterium

2002

AbstractA novel redox cycle is suggested, performing interconversion between acetaldehyde and ethanol in aerobically growing ethanologenic bacterium Zymomonas mobilis. It is formed by the two alcohol dehydrogenase (ADH) isoenzymes simultaneously catalyzing opposite reactions. ADH I is catalyzing acetaldehyde reduction. The local reactant ratio at its active site probably is shifted towards ethanol synthesis due to direct channeling of NADH from glycolysis. ADH II is oxidizing ethanol. The net result of the cycle operation is NADH shuttling from glycolysis to the membrane respiratory chain, and ensuring flexible distribution of reducing equivalents between the ADH reaction and respiration.

NADH channelingBiophysicsRespiratory chainBiochemistryZymomonas mobilischemistry.chemical_compoundStructural BiologyGeneticsGlycolysisEthanol metabolismMolecular BiologyAlcohol dehydrogenaseZymomonasEthanolEthanolbiologyFutile cycleRespirationZymomonas mobilisAlcohol dehydrogenaseAcetaldehydeCell BiologyNADbiology.organism_classificationAerobiosisIsoenzymeschemistryBiochemistryFutile cycleChemostatbiology.proteinOxidation-Reductionhormones hormone substitutes and hormone antagonistsFEBS Letters
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Development of Durum Wheat Breads Low in Sodium Using a Natural Low-Sodium Sea Salt

2020

Durum wheat is widespread in the Mediterranean area, mainly in southern Italy, where traditional durum wheat breadmaking is consolidated. Bread is often prepared by adding a lot of salt to the dough. However, evidence suggests that excessive salt in a diet is a disease risk factor. The aim of this work is to study the effect of a natural low-sodium sea salt (Saltwell&reg

Na+ reductionHealth (social science)food.ingredientSalt content030309 nutrition & dieteticssensory evaluationSodiumbreadchemistry.chemical_elementphysico-chemical and textural attributesPlant Sciencelcsh:Chemical technologyHealth Professions (miscellaneous)MicrobiologyArticle03 medical and health sciences0404 agricultural biotechnologyfoodNaClDisease risk factorlcsh:TP1-1185Food sciencelow-sodium sea salt0303 health sciencesChemistryTriticum turgidum L. subsp. durum DesfSea saltdigestive oral and skin physiologyfood and beverages04 agricultural and veterinary sciencesWheat breadTriticum turgidum L. subsp. durum Desf bread NaCl low-sodium sea salt Na+ reduction physico-chemical and textural attributes sensory evaluation040401 food scienceTriticum turgidum L. subsp. durum Desf.Modified atmosphereMediterranean areaFood ScienceLow sodiumFoods
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Simulation of the electromechanical behavior of multiwall carbon nanotubes.

2009

The enormous potential of carbon nanotubes (CNTs) as primary components in electronic devices and NEMS necessitates the understanding and predicting of the effects of mechanical deformation on electron transport in CNTs. In principle, detailed atomic/electronic calculations can provide both the deformed configuration and the resulting electrical transport behavior of the CNT. However, the computational expense of these simulations limits the size of the CNTs that can be studied with this technique, and a direct analysis of CNTs of the dimension used in nanoelectronic devices seems prohibitive at the present. Here a computationally effective mixed finite element (FE)/tight-binding (TB) appro…

Nanoelectromechanical systemsMaterials sciencemechanical deformationGeneral EngineeringGeneral Physics and AstronomyNanotechnologyCarbon nanotubeFinite element methodlaw.inventionSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineCondensed Matter::Materials ScienceTight bindingElectrical transportfinite elementlawtight-bindingGeneral Materials Scienceelectron transportElectronicscarbon nanotubeDeformation (engineering)Reduction (mathematics)ACS nano
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PROPERTIES AND APPLICATIONS OF POLYAMINOCYCLODEXTRIN DERIVATIVES

Nel presente lavoro sono state prese in esame le potenziali applicazioni delle poliamminociclodestrine. In particolare, diversi derivati poliamminociclodestrinici (amCD) sono stati ottenuti utilizzando un approccio sintetico diretto, tramite reazione di sostituzione nucleofila tra la heptakis-(6-deossi)-(6-bromo)-βCD (BrβCD) e poliammine lineari. Una volta effettuata l’opportuna caratterizzazione NMR, ESI-MS e potenziometrica, sono state investigate diverse possibili utilizzazioni di tali materiali. Anzitutto, sono state valutate le capacità di dare complessi di inclusione host-guest con diversi derivati organici sia delle amCD libere che di materiali costituiti da nanospugne a base di amCD…

NanospongesPhotoreductionCyclodextrinsNitroarene reductionLangmuir-Hinshelwood modelSettore CHIM/06 - Chimica OrganicaSolid-state NMRPalladium NanoparticlesCatalysisSupramolecular ChemistryPolarimetryPolyaminesGold NanoparticlesGene deliveryAntibacterial activityEnzyme activitySilver Nanoparticles
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