Search results for "mining"

showing 10 items of 1730 documents

Crystal structure of (E)-pent-2-enoic acid

2015

The molecule of the title compound, C5H8O2, a low-melting α,β-unsaturated carboxylic acid, is essentially planar [maximum displacement = 0.0239 (13) Å]. In the crystal, molecules are linked into centrosymmetric dimersviapairs of O—H...O hydrogen bonds.

crystal structurehydrogen bondunsaturated carb­oxy­lic acidHydrogen bondDimerGeneral ChemistryCrystal structureCondensed Matter Physicscomputer.software_genredimerData ReportsCrystallcsh:ChemistryCrystallographychemistry.chemical_compoundPlanarchemistrylcsh:QD1-999General Materials ScienceData miningMaximum displacementcomputerunsaturated carboxylic acidActa Crystallographica Section E: Crystallographic Communications
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Materialne i niematerialne przejawy kultu św. Barbary w środowisku górniczym

2019

Kult św. Barbary w środowisku zawodowym górników na przestrzeni ostatnich dwóch wieków przyjmował wiele zróżnicowanych form. Jego rozwój na Górnym Śląsku kształtował się od pierwszej połowy XIX stulecia i ma związek z intensywnym rozwojem przemysłu wydobywczego na tym obszarze. W artykule omówiono najbardziej charakterystyczne materialne i niematerialne przejawy czci oddawane św. Barbarze. Wspomniano o kościołach i kaplicach pod jej wezwaniem, obrazach i figurach przedstawiających patronkę górników w obiektach sakralnych oraz w rodzinach górniczych, modlitwach, a także o obchodzeniu 4 grudnia święta patronalnego i jednocześnie zawodowego, tzw. Barbórki, która (jako element tradycji górniczy…

cultśw. BarbarareligijnośćSilesiagórnictwominingŚląskreligiositykultSt. BarbaraRoczniki Teologiczne
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Web mining e Application Programming Interfaces: caratteristiche, strumenti, prospettive e limiti

2014

data mining web mining big data API computational social sciences web semanticoSettore SPS/07 - Sociologia Generale
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A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem

2017

A new data-driven reference vector-guided evolutionary algorithm has been successfully implemented to construct surrogate models for various objectives pertinent to an industrial blast furnace. A total of eight objectives have been modeled using the operational data of the furnace using 12 process variables identified through a principal component analysis and optimized simultaneously. The capability of this algorithm to handle a large number of objectives, which has been lacking earlier, results in a more efficient setting of the operational parameters of the furnace, leading to a precisely optimized hot metal production process. peerReviewed

data-driven optimizationPareto optimalityEngineeringBlast furnaceMathematical optimizationOptimization problemmodel managementblast furnaceEvolutionary algorithm02 engineering and technologyMulti-objective optimizationIndustrial and Manufacturing Engineering020501 mining & metallurgyData-drivenironmakingoptimointi0202 electrical engineering electronic engineering information engineeringGeneral Materials Scienceta113business.industrypareto-tehokkuusMechanical EngineeringProcess (computing)metamodelingMetamodeling0205 materials engineeringmulti-objective optimizationMechanics of MaterialsPrincipal component analysis020201 artificial intelligence & image processingbusinessrautateollisuus
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Izmeneniâfiziko-himičeskih osobennostej gruntovvoznikaûŝih posle èkspluatacii izvestnâkov pod vliâniem

2008

degranded groundsphysico-chemical propertieslimestone mining
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Beyond Tandem Analysis: Joint Dimension Reduction and Clustering in R

2019

We present the R package clustrd which implements a class of methods that combine dimension reduction and clustering of continuous or categorical data. In particular, for continuous data, the package contains implementations of factorial K-means and reduced K-means; both methods combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means, i-FCB and cluster correspondence analysis, which combine multiple correspondence analysis with K-means. Two examples on real data sets are provided to illustrate the usage of the main functions.

dimension reduction; clustering; principal component analysis; multiple correspondence analysis; K-meansStatistics and Probabilitydimension reduction clustering principal component analysis multiple correspon-dence analysis K-meansFactorialmultiple correspon-dence analysisMultiple correspondence analysiComputer sciencedimension reductionprincipal component analysisk-meansmultiple correspondence analysisPrincipal component analysicomputer.software_genre01 natural sciencesCorrespondence analysis010104 statistics & probabilityMultiple correspondence analysis0101 mathematicsCluster analysisCategorical variablelcsh:Statisticslcsh:HA1-4737Dimensionality reductionk-means clusteringK-meanPrincipal component analysisData miningHA29-32Statistics Probability and UncertaintycomputerSoftwareclusteringJournal of Statistical Software
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CoproID predicts the source of coprolites and paleofeces using microbiome composition and host DNA content

2020

Shotgun metagenomics applied to archaeological feces (paleofeces) can bring new insights into the composition and functions of human and animal gut microbiota from the past. However, paleofeces often undergo physical distortions in archaeological sediments, making their source species difficult to identify on the basis of fecal morphology or microscopic features alone. Here we present a reproducible and scalable pipeline using both host and microbial DNA to infer the host source of fecal material. We apply this pipeline to newly sequenced archaeological specimens and show that we are able to distinguish morphologically similar human and canine paleofeces, as well as non-fecal sediments, fro…

dogsArcheologyMicrobial DNAData Mining and Machine LearningCoprolitemicrobiomeendogenous DNAlcsh:MedicineMorphology (biology)Genomechemistry.chemical_compoundPaleofecesDog0601 history and archaeologyGutArqueologia Metodologia0303 health sciences060102 archaeologyGeneral NeuroscienceGeneral Medicine06 humanities and the artsGenomicsNextflowmachine learningnextflowgutGeneral Agricultural and Biological SciencesShotgun metagenomicsPaleofecesHumanpaleofecesBioinformaticsBiologyMicrobiologyGeneral Biochemistry Genetics and Molecular Biologydiversity03 medical and health sciencesEndogenous DNAMachine learningcoprolitedog molecular analysishumanMicrobiomeancient DNAgenome030304 developmental biology030306 microbiologyHost (biology)lcsh:RcultureAncient DNAarcheologychemistryEvolutionary biologyAnthropologyCoproliteMicrobiomedietDNAPeerJ
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Deep Sea Mining and the possible increase of metals in the water column: how will echinoderms and mussels respond?

2018

Marine pollution has been increasing as a consequence of human activities. In the near future will start the extraction of minerals from ocean depths, Deep Sea Mining (DSM). However, the impacts at the ecosystem level are still unknown. It is necessary to know the effects to contribute to the creation of rules, laws and mining codes that protect and conserve ecosystems and biodiversity. Sea urchin and mussels represents one of the most important seafood product, but also, a sentinel organism for ecotoxicological studies to assess aquatic environments quality. They are directly exposed to anthropogenic contaminants in their habitat. The aim of this study is to understand the influences of tw…

echinodermmetalmusselpollutionDeep Sea Mining
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Atlas construction and image analysis using statistical cardiac models

2010

International audience; This paper presents a brief overview of current trends in the construction of population and multi-modal heart atlases in our group and their application to atlas-based cardiac image analysis. The technical challenges around the construction of these atlases are organized around two main axes: groupwise image registration of anatomical, motion and fiber images and construction of statistical shape models. Application-wise, this paper focuses on the extraction of atlas-based biomarkers for the detection of local shape or motion abnormalities, addressing several cardiac applications where the extracted information is used to study and grade different pathologies. The p…

education.field_of_studyAtlas (topology)Computer sciencebusiness.industryPopulationImage registration02 engineering and technologycomputer.software_genreIndependent component analysisMotion (physics)030218 nuclear medicine & medical imagingImage (mathematics)03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringMyocardial motion[INFO.INFO-IM]Computer Science [cs]/Medical Imaging020201 artificial intelligence & image processingComputer visionData miningArtificial intelligenceeducationbusinesscomputer
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Modeling of female human body shapes for apparel design based on cross mean sets

2014

This paper is concerned with a method to build prototypes of human bodies that can be used for apparel design. One of the most important issues in the apparel development process is to define a sizing system to provide a good fitting for the majority of the population. Since anthropometric measures do not present the same linear growth with size in each dimension, it is very important to find a prototype that represents as accurately as possible each class in the sizing system. In this paper we propose a method based on the concept of random compact mean set to define prototypes in apparel design. From a cloud of 3D points obtained with a 3D scanner a solid that represents the human body is…

education.field_of_studyComputer sciencePopulationGeneral EngineeringClass (philosophy)Sample (statistics)Mean setsHuman bodies prototypescomputer.software_genre3D shapeSizingComputer Science ApplicationsSet (abstract data type)Artificial IntelligenceData miningDimension (data warehouse)educationcomputerRandom compact setsSimulationRealization (probability)Expert Systems with Applications
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