Search results for "Curse"

showing 10 items of 115 documents

Screening of lactic acid bacteria for their use as aromatic starters during fermentation of vegetables

2020

Lactic acid bacteria (LAB) have good growth capacities on various food matrices and produce very diverse enzymatic activities which are notably capable of positively modifying the organoleptic properties of fermented foods. Therefore, the selection of the LAB starters possessing good metabolic abilities and interesting enzymatic activities towards the plant matrix could improve the aroma profiles of fermented foods. The main objective of this study was to enhance the aroma profiles of fermented tomatoes by using the biotechnological pathway. To achieve this, firstly, 200 LAB isolated from Cambodian and Vietnamese fermented foods were screened for their β-glucosidase activity and duplicate i…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesBactéries lactiques[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesTomatePrécurseurs d'arômes.Lactic acid bacteriaVolatile compoundsFood fermentationComposés volatilsAroma precursorsTomatoFermentation alimentaireEnzymes
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Robust non-Markovianity in ultracold gases

2012

We study the effect of thermal fluctuations on a probe qubit interacting with a Bose-Einstein condensed (BEC) reservoir. The zero-temperature case was studied in [Haikka P et al 2011 Phys. Rev. A 84 031602], where we proposed a method to probe the effects of dimensionality and scattering length of a BEC based on its behavior as an environment. Here we show that the sensitivity of the probe qubit is remarkably robust against thermal noise. We give an intuitive explanation for the thermal resilience, showing that it is due to the unique choice of the probe qubit architecture of our model.

PhysicsCondensed Matter::Quantum GasesWork (thermodynamics)Quantum PhysicsCold Atoms Open Quantum System Markovian Master equations/dk/atira/pure/subjectarea/asjc/3100/3107/dk/atira/pure/subjectarea/asjc/3100/3104Thermal fluctuationsFOS: Physical sciencesScattering lengthPhysics and Astronomy(all)Condensed Matter PhysicsSettore FIS/03 - Fisica Della MateriaAtomic and Molecular Physics and Optics/dk/atira/pure/subjectarea/asjc/3100Quantum Gases (cond-mat.quant-gas)Quantum mechanicsQubitThermalSensitivity (control systems)Condensed Matter - Quantum Gases/dk/atira/pure/subjectarea/asjc/2600/2610Quantum Physics (quant-ph)Mathematical PhysicsCurse of dimensionality
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Communication between iron(II) building blocks in cooperative spin transition phenomena

2003

[EN] In the present article we discuss the cooperative nature of the spin crossover phenomenon in iron(II) complexes, providing a perspective of the state of the art in this area. The first aspect we discuss is the role of the intermolecular interactions, more precisely the ¿-interactions, in mononuclear complexes. We show that by playing with the nature of the ligands, aliphatic, aromatic, or extended aromatic, it is possible to create stronger cohesive forces and receive a more cooperative response from the compound. In the next step the singular family of bipyrimidine-bridged iron(II) dinuclear compounds is presented as the simplest example of polynuclear spin crossover complexes exhibit…

genetic structuresStereochemistryChemistryIntermolecular forceSupramolecular chemistrySpin transitionSpin transitionIron(II) complexesInorganic ChemistryChemical physicsSpin crossoverFISICA APLICADAIntramolecular forceMaterials ChemistryMolecular magnetismPhysical and Theoretical ChemistrySupramolecular chemistryTopology (chemistry)Curse of dimensionalityCoordination Chemistry Reviews
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Feature selection with Ant Colony Optimization and its applications for pattern recognition in space imagery

2016

This paper presents a feature selection (FS) algorithm using Ant Colony Optimization (ACO). It is inspired by the particular behavior of real ants, namely by the fact that they are capable of finding the shortest path between a food source and the nest. There are considered two ACO-FS model applications for pattern recognition in remote sensing imagery: ACO Band Selection (ACO-BS) and ACO Training Label Purification (ACO-TLP). The ACO-BS reduces dimensionality of an input multispectral image data by selecting the “best” subset of bands to accomplish the classification task. The ACO-TLP selects the most informative training samples from a given set of labeled vectors in order to optimize the…

Computer sciencebusiness.industryAnt colony optimization algorithmsMultispectral imageFeature selectionPattern recognition02 engineering and technologyStatistical classification020204 information systemsPrincipal component analysisShortest path problem0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinessClassifier (UML)Curse of dimensionality2016 International Conference on Communications (COMM)
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A novel method for network intrusion detection based on nonlinear SNE and SVM

2017

In the case of network intrusion detection data, pre-processing techniques have been extensively used to enhance the accuracy of the model. An ideal intrusion detection system (IDS) is one that has appreciable detection capability overall the group of attacks. An open research problem of this area is the lower detection rate for less frequent attacks, which result from the curse of dimensionality and imbalanced class distribution of the benchmark datasets. This work attempts to minimise the effects of imbalanced class distribution by applying random under-sampling of the majority classes and SMOTE-based oversampling of minority classes. In order to alleviate the issue arising from the curse…

business.industryComputer science[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingDimensionality reductionFeature vectorPattern recognitionGeneral MedicineIntrusion detection systemSupport vector machineBenchmark (computing)EmbeddingRadial basis functionArtificial intelligencebusinessCurse of dimensionality
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Changes in power curve shapes as an indicator of fatigue during dynamic contractions.

2010

The purpose of this study was to analyze exercise-induced leg fatigue during a dynamic fatiguing task by examining the shapes of power vs. time curves through the combined use of several statistical methods: B-spline smoothing, functional principal components and (supervised and unsupervised) classification. In addition, granulometric size distributions were also computed to allow for comparison of curves coming from different subjects. Twelve physically active men participated in one acute heavy-resistance exercise protocol which consisted of five sets of 10 repetition maximum leg press with 120 s of rest between sets. To obtain a smooth and accurate representation of the data, a basis of …

AdultMaleMultivariate statisticsBiomedical EngineeringBiophysicsKinematicsPower lawModels BiologicalStatisticsHumansOrthopedics and Sports MedicineComputer SimulationMuscle SkeletalMathematicsLegbusiness.industryRehabilitationFunctional data analysisContrast (statistics)Pattern recognitionPrincipal component analysisMuscle FatiguePhysical EnduranceArtificial intelligencebusinessSmoothingCurse of dimensionalityMuscle ContractionJournal of biomechanics
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Self-Assembly of Zr(C2O4)44– Metallotectons and Bisimidazolium Cations: Influence of the Dication on H-Bonded Framework Dimensionality and Material P…

2011

Assemblies involving [Zr(C2O4)4]4– metallotectons (C2O42– = oxalate) and linear, flexible, or V-shaped organic cations (H2-Lx)2+ derived from the 1,4-bisimidazol-1-ylbenzene molecule have been envisioned to elaborate porous frameworks based on ionic H-bonds. Five architectures of formula [{(H2-L1)2Zr(C2O4)4}·2H2O] (1), [{(H2-L2)2Zr(C2O4)4}·6H2O] (2), [{(H2-L3)2Zr(C2O4)4}·6H2O] (3), [{(H2-L4)2Zr(C2O4)4}·H2O] (4), and [{(H2-L5)2Zr(C2O4)4}·6H2O] (5) (with L1 = p-bis(imidazol-1-yl)benzene, L2 = p-bis(2-methylimidazol-1-yl)benzene, L3 = p-bis(imidazol-1-yl)-2,5-dimethylbenzene, L4 = p-bis(imidazol-1-ylmethyl)benzene, L5 = m-bis(imidazol-1-yl)benzene) have been obtained; 1–3, and 5 show an open-f…

StereochemistryIonic bondingGeneral ChemistryCondensed Matter PhysicsOxalateDicationchemistry.chemical_compoundCrystallographychemistryMoleculeGeneral Materials ScienceSelf-assemblyBenzenePorosityCurse of dimensionalityCrystal Growth & Design
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From Bi-Dimensionality to Uni-Dimensionality in Self-Report Questionnaires

2021

Abstract. The common factor model – by far the most widely used model for factor analysis – assumes equal item intercepts across respondents. Due to idiosyncratic ways of understanding and answering items of a questionnaire, this assumption is often violated, leading to an underestimation of model fit. Maydeu-Olivares and Coffman (2006) suggested the introduction of a random intercept into the model to address this concern. The present study applies this method to six established instruments (measuring depression, procrastination, optimism, self-esteem, core self-evaluations, and self-regulation) with ambiguous factor structures, using data from representative general population samples. I…

Factor (chord)media_common.quotation_subjectStatisticsProcrastinationConstruct validityPsychological testingPersonality Assessment InventorySelf reportPsychologyApplied PsychologyRandom interceptmedia_commonCurse of dimensionalityEuropean Journal of Psychological Assessment
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More on the Dimensionality of the GHQ-12: Competitive Confirmatory Models

2019

The General Health Questionnaire (GHQ) was designed to measure minor psychiatric morbidity by assessing normal ‘healthy’ functioning and the appearance of new, distressing symptoms. Among its versions, the 12-item is one of the most used. GHQ-12’s validity and reliability have been extensively tested in samples from different populations. In the Spanish version, studies have come to different conclusions, of one, two, and three-factor structures. This research aims to present additional evidence on the factorial validity of the Spanish version of the GHQ-12, using competitive confirmatory models. Three samples of workers (N= 525, 414 and 540) were used to test a set of substantive models pr…

Discriminant validityValiditySpanish version030227 psychiatryTest (assessment)03 medical and health sciences0302 clinical medicineInternational literature030212 general & internal medicineGeneral Health QuestionnaireSet (psychology)PsychologyGeneral PsychologyClinical psychologyCurse of dimensionalityUniversitas Psychologica
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Online Density Estimation of Heterogeneous Data Streams in Higher Dimensions

2016

The joint density of a data stream is suitable for performing data mining tasks without having access to the original data. However, the methods proposed so far only target a small to medium number of variables, since their estimates rely on representing all the interdependencies between the variables of the data. High-dimensional data streams, which are becoming more and more frequent due to increasing numbers of interconnected devices, are, therefore, pushing these methods to their limits. To mitigate these limitations, we present an approach that projects the original data stream into a vector space and uses a set of representatives to provide an estimate. Due to the structure of the est…

Data streamMahalanobis distanceComputer scienceData stream miningbusiness.industry02 engineering and technologyDensity estimationcomputer.software_genreSet (abstract data type)Software020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingData miningbusinesscomputerCurse of dimensionalityVector space
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