Search results for " Classification"

showing 10 items of 1043 documents

Influence of Initial Water Content on the Wettability of Autoclaved Soils

2010

Autoclaving is a commonly used practice to destroy microbial activity in soils but is thought to have a limited effect on other soil properties. Small changes in chemical composition have been reported, but there have been no previous reports of any alteration of physical properties. This study, however, showed that autoclaving can cause a major change in soil hydraulic properties. For samples with intermediate water contents (10-35% v/v), it caused severe or extreme water repellency in three of four soil types tested, although no effect for initially low or high water contents was found. These findings have important implications for any experimental work involving soil autoclaving as a pr…

ChemistryMicroorganismEnvironmental chemistrySoil waterSoil ScienceSoil scienceSoil propertiesComposition (visual arts)Soil classificationWettingChemical compositionWater content
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Contrasting evolution of iron phase composition in soils exposed to redox fluctuations

2018

Abstract Ferric iron (FeIII) solid phases serve many functions in soils and sediments, which include providing sorption sites for soil organic matter, nutrients, and pollutants. The reactivity of Fe solid phases depends on the mineral structure, including the overall crystallinity. In redox-active soils and sediments, repeated reductive dissolution with subsequent exposure to aqueous ferrous iron (Fe2+) and oxidative re-precipitation can alter Fe phase crystallinity and reactivity. However, the trajectory of Fe mineral transformation under redox fluctuations is unclear and has been reported to result in both increases and decreases in Fe phase crystallinity. Several factors such as water bu…

ChemistrySoil organic matterSoil classification04 agricultural and veterinary sciences010501 environmental sciences01 natural sciencesFerrousAndosolCrystallinityGeochemistry and PetrologyEnvironmental chemistrySoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesLeaching (agriculture)Dissolution0105 earth and related environmental sciencesGeochimica et Cosmochimica Acta
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Authentication of protected designation of origin artichokes by spectroscopy methods

2016

Abstract Artichoke samples with the protected designation of origin (PDO) ‘Alcachofa de Benicarlo’ were discriminated from those produced in other towns surrounding Valencia and Murcia, outside the PDO frame. Inductively coupled plasma (ICP-OES), near infrared (NIR) and X-ray fluorescence (XRF) were assayed in order to achieve a correct sample classification of the three different origin sample groups (Benicarlo, Valencia and Murcia). Chemometrics was used to compare the ability of classification of artichoke from their origin by using concentration data of mineral elements, determined by ICP-OES, NIR spectra and XRF spectra. Multivariate analysis tools, as principal component analysis (PCA…

ChemistrySpectroscopy methods010401 analytical chemistryAnalytical chemistry04 agricultural and veterinary sciences040401 food science01 natural sciencesData treatment0104 chemical sciencesChemometrics0404 agricultural biotechnologySample classificationPrincipal component analysisNir spectraFood ScienceBiotechnologyFood Control
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A new paradigm for pattern classification: Nearest Border Techniques

2013

Published version of a chapter in the book: AI 2013: Advances in Artificial Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-319-03680-9_44 There are many paradigms for pattern classification. As opposed to these, this paper introduces a paradigm that has not been reported in the literature earlier, which we shall refer to as the Nearest Border (NB) paradigm. The philosophy for developing such a NB strategy is as follows: Given the training data set for each class, we shall first attempt to create borders for each individual class. After that, we advocate that testing is accomplished by assigning the test sample to the class whose border it lies closest to…

Class (set theory)Training setPattern ClassificationComputer sciencebusiness.industrySVMVDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 422Centroid02 engineering and technology01 natural sciencesVDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Support vector machine010104 statistics & probabilityExperimental testingOutlier0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligence0101 mathematics10. No inequalitySet (psychology)businessTest sampleBorder Identification
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Recent trends of temperature change under hot and cold desert climates: Comparing the Sahara (Libya) and Central Asia (Xinjiang, China)

2011

Abstract According to trend computations at three stations each in Sahara desert (Libya), characterized by a “hot” desert type (“BWh”, according to the Koeppen climate classification), and in Central Asia (Xinjiang, China) identified as a “cold” desert type (“BWk”, after Koeppen), increasing annual temperatures were detected over the period 1955–2005 corresponding with global temperature warming. From 1955–1978, negative (decreasing) temperature trends were, however, observed at all three hot desert stations and at two of the three cold desert stations. From 1979–2005, strikingly positive temperature trends were seen at all six stations. In seasonal respects, winter (December to February) a…

Climate classificationGeographyDesert (philosophy)EcologyGlobal temperatureDesert climateClimatologyPeriod (geology)Climate changeChinaAridEcology Evolution Behavior and SystematicsEarth-Surface ProcessesJournal of Arid Environments
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Climate Classification and Division of China

1988

As far as a climate classification and division is concerned, China represents a great complexity and diversity due to the country’s vast territory and extremely complex landforms. In detail, three major climate-governing factors must be taken into consideration for the climate of China as such and for its division over space: (1) the geographical latitude, (2) the elevation above sea level and (3) the distance from the Pacific Ocean. Of particular importance for a climate regionalization of China is the country’s location on the southeastern corner of the Eurasian continent against the Pacific Ocean, which means that the nature of the surrounding regions varies from open oceans to compact …

Climate classificationgeographygeography.geographical_feature_categoryLandformClimatologyElevationContext (language use)Aridity indexPhysical geographyDivision (mathematics)ChinaSea level
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The Three Steps of Clustering In The Post-Genomic Era

2013

This chapter descibes the basic algorithmic components that are involved in clustering, with particular attention to classification of microarray data.

Clustering high-dimensional dataSettore INF/01 - Informaticabusiness.industryCorrelation clusteringPattern recognitioncomputer.software_genreBiclusteringCURE data clustering algorithmClustering Classification Biological Data MiningConsensus clusteringArtificial intelligenceData miningbusinessCluster analysiscomputerMathematics
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Phytoplankton dynamics in permanent and temporary Mediterranean waters: is the game hard to play because of hydrological disturbance?

2012

Only few scientific investigations have been carried out, to our knowledge, on phytoplankton in Mediterranean temporary ponds. To test the hypothesis that climate forcing is the main factor affecting dynamics and structure of planktic algae in these peculiar ecosystems, and to assess the importance of human impacts on this basic component of the aquatic biota, phytoplankton structure and dynamics were analysed in two temporary, long lasting (9 months), ponds, and in a permanent one. The three studied water bodies can be classified as mesoeutrophic, which show extended macrophyte beds and are subjected to one or more human impacts, such as eutrophication, fish and plant introduction, and gar…

CodaMediterranean climateMediterranean temporary pond Functional classification Coda Metaphyton Rare speciesRare speciesEcologySettore BIO/02 - Botanica SistematicaRare speciesFunctional classificationMetaphytonAquatic ScienceMediterranean temporary pondMacrophyteSettore BIO/03 - Botanica Ambientale E ApplicataPhytoplanktonEnvironmental scienceOrdinationEcosystemSpecies richnessMediterranean temporary pond;Functional classification; Coda; Metaphyton; Rare speciesEutrophicationHydrobiologia
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Comparison of Metrics for the Classification of Soils Under Variable Geometrical Conditions Using Hyperspectral Data

2008

International audience; The objective of this letter is to find a distance metric between reflectance spectra that is not sensitive to the variations on the soil reflectance induced by the geometry of solar-view angles. This is motivated by the fact that differences between spectra measured for the same soil under different observation and illumination configurations can lead to misclassifications. Using 26 soils of different compositions simulated with Hapke’s model and 92 soils of different compositions measured under 28 solarview angle geometries in laboratory conditions, we tested three metrics, namely, root-mean-square error, spectral angle mapper, and R2 (the coefficient of determinat…

Coefficient of determination010504 meteorology & atmospheric sciencesMean squared error0211 other engineering and technologiesSOIL IDENTIFICATION02 engineering and technologySolid modeling01 natural sciencesSpectral lineCLASSIFICATION[SPI]Engineering Sciences [physics]HYPERSPECTRALSurface roughnessElectrical and Electronic EngineeringComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingHyperspectral imagingSoil classificationGeotechnical Engineering and Engineering GeologySOLAR-VIEW ANGLESoil waterSPECTRAL LIBRARYDISTANCE METRIC[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Commentary: Constructing nonhuman animal emotion

2017

Cognitive scienceEmotion classificationlcsh:BF1-99005 social sciencescore affectemotionsAffect (psychology)050105 experimental psychologyconstructed emotions03 medical and health scienceslcsh:Psychology0302 clinical medicineNonhuman animalaffect0501 psychology and cognitive sciencesbasic emotionsPsychologyanimal emotions030217 neurology & neurosurgeryGeneral PsychologyFrontiers in Psychology
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