Search results for "reduction"

showing 10 items of 2058 documents

Microsomal and cytosolic epoxide hydrolases, the peroxisomal fatty acid beta-oxidation system and catalase. Activities, distribution and induction in…

1988

A number of structurally unrelated hypolipidaemic agents and certain phthalate-ester plasticizers induce hepatomegaly and proliferation of peroxisomes in rodent liver, but there is relatively limited data regarding the specific effects of these drugs on liver non-parenchymal cells. In the present study, liver parenchymal, Kupffer and endothelial cells from untreated and fenofibrate-fed rats were isolated and the activities of two enzymes associated with peroxisomes (catalase and the peroxisomal fatty acid beta-oxidation system) as well as cytosolic and microsomal epoxide hydrolase were measured. Microsomal epoxide hydrolase, cytosolic epoxide hydrolase and catalase activities were 7-12-fold…

Epoxide hydrolase 2MaleKupffer CellsBiologyFatty acid beta-oxidationBiochemistryMicrobodiesCytosolFenofibrateMicrobodyAnimalsEndotheliumEpoxide hydrolaseHypolipidemic Agentschemistry.chemical_classificationEpoxide HydrolasesFatty AcidsFatty acidRats Inbred StrainsPeroxisomeCatalaseRatschemistryBiochemistryLiverMicrosomal epoxide hydrolaseEpoxide HydrolasesMicrosomes LiverPropionatesOxidation-ReductionEuropean journal of biochemistry
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Fair Kernel Learning

2017

New social and economic activities massively exploit big data and machine learning algorithms to do inference on people’s lives. Applications include automatic curricula evaluation, wage determination, and risk assessment for credits and loans. Recently, many governments and institutions have raised concerns about the lack of fairness, equity and ethics in machine learning to treat these problems. It has been shown that not including sensitive features that bias fairness, such as gender or race, is not enough to mitigate the discrimination when other related features are included. Instead, including fairness in the objective function has been shown to be more efficient.

Equity (economics)Actuarial scienceComputingMilieux_THECOMPUTINGPROFESSIONExploitComputer sciencebusiness.industrymedia_common.quotation_subjectDimensionality reductionBig dataWageInference02 engineering and technologyKernel method020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingbusinessCurriculummedia_common
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Exposure to malondialdehyde induces an early redox unbalance preceding membrane toxicity in human erythrocytes.

2002

This work investigated the oxidative injury to human red blood cells (RBCs) by the exposure to exogenous malondialdehyde (MDA), in a physiological environment. When a 10% RBC suspension was incubated in autologous plasma, in the presence of 50 microM MDA, 30% of MDA entered into the cells. A time-course study showed that MDA caused early (30-120 min) and delayed (3-18 h) effects. MDA caused a fast depletion of reduced glutathione, and loss of the glucose-6-phosphate dehydrogenase activity, followed by a decrease of HbO2. Accumulation of methemoglobin, and formation of small amounts of hemichrome were later evident. Also, an HbO2-derived fluorescent product was measured in the membrane. The …

ErythrocytesTime FactorsOxidative phosphorylationmedicine.disease_causeBiochemistryHemolysisMethemoglobinchemistry.chemical_compoundHemoglobinsMalondialdehydemedicineHumansMethemoglobinHemichromeCell MembraneErythrocyte MembraneGeneral MedicineGlutathionemedicine.diseaseMalondialdehydeMolecular biologyHemolysisOxygenSpectrometry FluorescencechemistryBiochemistryGlucose-6-PhosphatasePotassiumElectrophoresis Polyacrylamide GelOxidation-ReductionIntracellularOxidative stressFree radical research
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Block Bootstrap Methods and the Choice of Stocks for the Long Run

2011

Financial advisors commonly recommend that the investment horizon should be rather long in order to benefit from the "time diversification". In this case, in order to choose the optimal portfolio, it is necessary to estimate the risk and reward of several alternative portfolios over a long-run given a sample of observations over a short-run. Two interrelated obstacles in these estimations are lack of sufficient data and the uncertainty in the nature of the return generating process. To overcome these obstacles researchers rely heavily on block bootstrap methods. In this paper we demonstrate that the estimates provided by a block bootstrap method are generally biased and we propose two metho…

Estimation theoryStatisticsDiversification (finance)EconometricsEconomicsPortfolioTime seriesSerial dependenceBias reductionSSRN Electronic Journal
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Functional Linear Regression

2018

This article presents a selected bibliography on functional linear regression (FLR) and highlights the key contributions from both applied and theoretical points of view. It first defines FLR in the case of a scalar response and shows how its modelization can also be extended to the case of a functional response. It then considers two kinds of estimation procedures for this slope parameter: projection-based estimators in which regularization is performed through dimension reduction, such as functional principal component regression, and penalized least squares estimators that take into account a penalized least squares minimization problem. The article proceeds by discussing the main asympt…

EstimationDimensionality reductionStatisticsFunctional linear regressionMathematicsQuantile
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A new preprocessing and control board for the phase 2 electronics of AGATA experiment

2016

The electronics of AGATA HPGe segmented gamma ray detector faces a new challenge in the search of a bigger integration and cost reduction for the phase 2 of the experiment going beyond 45 crystals. This opportunity can be used to introduce a new architecture based on commercial standards while keeping backward compatibility with current electronics. In this sense, new FPGA devices and fast Ethernet links can be used to ease the preprocessing and control task and allowing for processor farms to distribute the processing load. At the same time, modularity should be a key feature of the design in the aim to make it upgradable in time and technology. This paper presents the design of a new prep…

EthernetEngineering010308 nuclear & particles physicsbusiness.industryBandwidth (signal processing)Fast EthernetChange control board01 natural sciencesBackward compatibilityCost reduction0103 physical sciencesElectronic engineeringElectronicsbusinessField-programmable gate array2016 IEEE-NPSS Real Time Conference (RT)
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Reactions at Interfaces: Oxygenation of n-Butyl Ligands Anchored on Silica Surfaces with Methyl(trifluoromethyl)dioxirane

2011

The oxygenation of n-butyl and n-butoxy chains bonded to silica with methyl(trifluoromethyl)dioxirane (1) revealed the ability of the silica matrix to release electron density toward the reacting C(2)-H σ-bond through the Si-C(1) and Si-O(1) σ-bonds connecting the alkyl chain to the surface (silicon β-effect). The silica surface impedes neither the alkyl chain adopting the conformation required for the silicon β-effect nor dioxirane 1 approaching the reactive C(2) methylene group. Reaction regioselectivity is insensitive to changes in the solvation of the reacting system, the location of organic ligands on the silica surface, and the H-bonding character of the silica surface. Reaction rates…

Ethylene OxideTrimethylsilylSiliconSurface PropertiesMolecular Conformationchemistry.chemical_elementChemistry Techniques SyntheticPhotochemistryReaction ratechemistry.chemical_compoundDioxiraneMethyleneAlkylchemistry.chemical_classificationTrifluoromethylOrganic ChemistryRegioselectivityEstersHydrogen BondingStereoisomerismSilicon DioxideOxygenSolutionsKineticschemistryButanesOxidation-ReductionThe Journal of Organic Chemistry
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Biological minimization of excess sludge in a membrane bioreactor: Effect of plant configuration on sludge production, nutrient removal efficiency an…

Excess sludge reduction Membrane bioreactors Membrane fouling Nitrogen removal Uncoupling metabolism
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Gastropod evidence against the Early Triassic Lilliput effect

2010

4 pages; International audience; Size reduction in the aftermath of the Permian-Triassic mass extinction event has repeatedly been described for various marine organisms, including gastropods (the Lilliput effect). A Smithian gastropod assemblage from Utah, USA, reveals numerous large-sized specimens of different genera as high as 70 mm, the largest ever reported from the Early Triassic. Other gastropods reported from Serbia and Italy are also as large as 35 mm. Size frequency distributions of the studied assemblages indicate that they were not unusually small when compared with later Mesozoic and modern faunas. The occurrence of large-sized gastropods less than 2 Ma after the Permian-Trias…

Extinction event010506 paleontologyEcologyFaunaSize reductionEarly TriassicGeology10125 Paleontological Institute and Museum010502 geochemistry & geophysics01 natural sciencesPaleontology560 Fossils & prehistoric lifeSize frequencyAssemblage (archaeology)14. Life underwaterMesozoic[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/PaleontologyClade1907 GeologyGeology[ SDU.STU.PG ] Sciences of the Universe [physics]/Earth Sciences/Paleontology0105 earth and related environmental sciencesGeology
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Denoising Autoencoders for Fast Combinatorial Black Box Optimization

2015

Estimation of Distribution Algorithms (EDAs) require flexible probability models that can be efficiently learned and sampled. Autoencoders (AE) are generative stochastic networks with these desired properties. We integrate a special type of AE, the Denoising Autoencoder (DAE), into an EDA and evaluate the performance of DAE-EDA on several combinatorial optimization problems with a single objective. We asses the number of fitness evaluations as well as the required CPU times. We compare the results to the performance to the Bayesian Optimization Algorithm (BOA) and RBM-EDA, another EDA which is based on a generative neural network which has proven competitive with BOA. For the considered pro…

FOS: Computer and information sciencesArtificial neural networkI.2.6business.industryFitness approximationComputer scienceNoise reductionI.2.8MathematicsofComputing_NUMERICALANALYSISComputer Science - Neural and Evolutionary ComputingMachine learningcomputer.software_genreAutoencoderOrders of magnitude (bit rate)Estimation of distribution algorithmBlack boxComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONNeural and Evolutionary Computing (cs.NE)Artificial intelligencebusinessI.2.6; I.2.8computerProceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation
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