Search results for "105"

showing 10 items of 9364 documents

Performance Evaluation for a Sustainable Supply Chain Management System in the Automotive Industry Using Artificial Intelligence

2020

Increasing the sustainability of a system can be achieved by evaluating the system, identifying the issues and their root cause and solving them. Performance evaluation translates into key performance indicators (KPIs) with a high impact on increasing overall efficacy and efficiency. As the pool of KPIs has increased over time in the context of evaluating the supply chain management (SCM) system&rsquo

neural networkComputer scienceSupply chainAutomotive industryBioengineeringContext (language use)010501 environmental scienceslcsh:Chemical technologyrisk management01 natural scienceslcsh:Chemistry0502 economics and businessChemical Engineering (miscellaneous)lcsh:TP1-1185Risk management0105 earth and related environmental sciencesSupply chain managementbusiness.industryProcess Chemistry and Technology05 social sciencesdata miningRoot causeartificial intelligenceperformance evaluationlcsh:QD1-999key performance indicatorManagement systemArtificial intelligencePerformance indicatorbusiness050203 business & managementProcesses
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Population Properties of Compact Objects from the Second LIGO-Virgo Gravitational-Wave Transient Catalog

2021

Abbott, R., et al. (LIGO and Virgo Collaboration)

neutron star: binary010504 meteorology & atmospheric sciencesAstronomyAstrophysicsspin01 natural sciencesGeneral Relativity and Quantum Cosmologymass spectrumMassive starsAGN DISCSLIGO010303 astronomy & astrophysicsQCFocus on Gravitational-wave Astrophysics from the Second LIGO-Virgo Transient CatalogQBSettore FIS/01High Energy Astrophysical Phenomena (astro-ph.HE)astro-ph.HEPhysicseducation.field_of_studyMass distributionSettore FIS/05Astrophysical black holesStellar mass black holesBINARY MERGERSJustice and Strong InstitutionsCompact Binary Populations Gravitational Waves GW Transient Cataloggravitational wavesAStrophysical black holesPhysical Sciences[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]Astrophysics - High Energy Astrophysical PhenomenaYOUNG STAR-CLUSTERSEFFECTIVE SPIN DISTRIBUTIONmass: asymmetryBLACK-HOLE MERGERSSDG 16 - PeaceexceptionalNEUTRON-STARSgr-qcPopulationFOS: Physical sciencesgapContext (language use)General Relativity and Quantum Cosmology (gr-qc)Astrophysics::Cosmology and Extragalactic AstrophysicsPUBLIC ADVANCED LIGOGravitational waves; Astrophysical black holes; Stellar mass black holes; Massive stars; Compact objects; Bayesian statisticsAstronomy & AstrophysicsBayesian statisticsangular momentumGravitational wavesSettore FIS/05 - Astronomia e Astrofisicaprecession0103 physical sciencesstructureeducationcaptureCompact objectsAstrophysics::Galaxy AstrophysicsSTFC0105 earth and related environmental sciencesMASS-DISTRIBUTIONBLACK-HOLE MERGERS; YOUNG STAR-CLUSTERS;EFFECTIVE SPIN DISTRIBUTIONHIERARCHICAL MERGERSScience & TechnologyStar formationGravitational waveSDG 16 - Peace Justice and Strong Institutionsgravitational radiationRCUKAstronomy and Astrophysicsredshiftbinary: compact/dk/atira/pure/sustainabledevelopmentgoals/peace_justice_and_strong_institutionsDewey Decimal Classification::500 | Naturwissenschaften::520 | Astronomie KartographieLIGORedshiftNeutron starVIRGOblack hole: binaryGravitational Waves Compact Binaries[SDU]Sciences of the Universe [physics]Space and Planetary Scienceddc:520[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Compact BinariesDYNAMICAL FORMATION
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New orbital ephemerides for the dipping source 4U 1323-619: Constraining the distance to the source

2016

4U 1323-619 is a low mass X-ray binary system that shows type I X-ray bursts and dips. The most accurate estimation of the orbital period is 2.941923(36) hrs and a distance from the source that is lower than 11 kpc has been proposed. We aim to obtain the orbital ephemeris, the orbital period of the system, as well as its derivative to compare the observed luminosity with that predicted by the theory of secular evolution. We took the advantage of about 26 years of X-ray data and grouped the selected observations when close in time. We folded the light curves and used the timing technique, obtaining 12 dip arrival times. We fit the delays of the dip arrival times both with a linear and a quad…

neutron X-rays: binaries X-rays: stars ephemerides stars: individual: 4U 1323-619 [stars]010504 meteorology & atmospheric sciencesAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesContext (language use)AstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsEphemeris01 natural sciencesLuminositySettore FIS/05 - Astronomia E Astrofisica0103 physical sciences010303 astronomy & astrophysicsAstrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)stars: neutron X-rays: binaries X-rays: stars ephemerides stars: individual: 4U 1323-619Astronomy and AstrophysicsLight curveOrbital periodGalaxyNeutron starSpace and Planetary ScienceAstrophysics::Earth and Planetary AstrophysicsLow MassAstrophysics - High Energy Astrophysical Phenomena
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Comparison of oxidoreductive enzyme activities in three coal tar creosote-contaminated soils

2019

This study used laboratory experiments to compare the effects of coal tar creosote on the activity of oxidoreductive enzymes in sandy loam, loamy sand and sandy clay loam soils. Different amounts of coal tar creosote were added to soil samples as follows: 0 (control), 2, 10 or 50 g kg–1 dry matter. The activity of soil dehydrogenases (DHAs), o-diphenol oxidase (o-DPO), catalase (CAT), nitrate reductase (NR) and peroxidases (POX) was determined. Contamination of soil with coal tar creosote affected oxidoreductase activity. Oxidoreductive enzyme activity following soil contamination with coal tar creosote was in the following order: DHAs > CAT > NR > POX > o-DPO in…

nitrate reductaseSoil testvirusespolycyclic aromatic hydrocarbonsSoil Science010501 environmental sciencesEnvironmental Science (miscellaneous)Nitrate reductasecomplex mixtures01 natural scienceslaw.inventionresistance indexBioremediationlawotorhinolaryngologic diseasesmedicineCoal tar0105 earth and related environmental sciencesEarth-Surface ProcessesChemistrycatalasedehydrogenases04 agricultural and veterinary sciencesSoil contaminationCreosoteEnvironmental chemistryLoamSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesperoxidasesmedicine.drugSoil Research
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The interactive effects of various nitrogen fertiliser formulations applied to urine patches on nitrous oxide emissions in grassland

2017

AbstractPasture-based livestock agriculture is a major source of greenhouse gas (GHG) nitrous oxide (N2O). Although a body of research is available on the effect of urine patch N or fertiliser N on N2O emissions, limited data is available on the effect of fertiliser N applied to patches of urinary N, which can cover up to a fifth of the yearly grazed area. This study investigated whether the sum of N2O emissions from urine and a range of N fertilisers, calcium ammonium nitrate (CAN) or urea ± urease inhibitor ± nitrification inhibitor, applied alone (disaggregated and re-aggregated) approximated the N2O emission of urine and fertiliser N applied together (aggregated). Application of fertili…

nitrous oxide emission factors[ SDV.SA.SDS ] Life Sciences [q-bio]/Agricultural sciences/Soil studychemistry.chemical_elementUrine010501 environmental sciences01 natural sciencesGrasslandurease inhibitorchemistry.chemical_compoundPlant sciencelcsh:Agriculture (General)0105 earth and related environmental sciencesgeographygeography.geographical_feature_categoryEcology[ SDV.SA.STA ] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture04 agricultural and veterinary sciencesNitrous oxideequipment and suppliesNitrogenlcsh:S1-972urineAgronomyInteractive effectschemistry040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental sciencenitrification inhibitorAnimal Science and Zoologynitrogen fertiliserAgronomy and Crop ScienceFood ScienceIrish Journal of Agricultural and Food Research
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Noise Reduction and Gap Filling of fAPAR Time Series Using an Adapted Local Regression Filter

2014

Time series of remotely sensed data are an important source of information for understanding land cover dynamics. In particular, the fraction of absorbed photosynthetic active radiation (fAPAR) is a key variable in the assessment of vegetation primary production over time. However, the fAPAR series derived from polar orbit satellites are not continuous and consistent in space and time. Filtering methods are thus required to fill in gaps and produce high-quality time series. This study proposes an adapted (iteratively reweighted) local regression filter (LOESS) and performs a benchmarking intercomparison with four popular and generally applicable smoothing methods: Double Logistic (DLOG), sm…

noise010504 meteorology & atmospheric sciencesRemote sensing applicationComputer scienceNoise reduction0211 other engineering and technologies02 engineering and technologyLand cover01 natural sciencesfAPAR; noise; MODIS; time series; filtering; interpolation; LOESSSmoothing splineLoessLOESSlcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingLocal regressionFilter (signal processing)Vegetation15. Life on landfilteringSnowinterpolationNoiseMODISfAPARGeneral Earth and Planetary Scienceslcsh:Qtime seriesSmoothingInterpolationRemote Sensing
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Brain Modulation by Electric Currents in Fibromyalgia: A Structured Review on Non-invasive Approach With Transcranial Electrical Stimulation

2018

Fibromyalgia syndrome (FMS) is a complex disorder where widespread musculoskeletal pain is associated with many heterogenous symptoms ranging from affective disturbances to cognitive dysfunction and central fatigue. FMS is currently underdiagnosed and often very poorly responsive to pharmacological treatment. Pathophysiology of the disease remains still obscure even if in the last years fine structural and functional cerebral abnormalities have been identified, principally by neurophysiological and imaging studies delineating disfunctions in pain perception, processing and control systems. On such basis, recently, neurostimulation of brain areas involved in mechanism of pain processing and …

non-invasive brain stimulation (NIBS) transcranial electrical stimulation (tES) fibromyalgia (FM) tDCS — transcranial direct current stimulation tRNS (transcranial random noise stimulation)medicine.medical_treatmentStimulationReview050105 experimental psychologylcsh:RC321-57103 medical and health sciencesBehavioral Neuroscience0302 clinical medicinefibromyalgia (FM)Fibromyalgiamedicine0501 psychology and cognitive sciencestranscranial electrical stimulation (tES)Neurostimulationlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological Psychiatrybusiness.industry05 social sciencesCognitionNeurophysiologymedicine.diseasetRNS (transcranial random noise stimulation)Dorsolateral prefrontal cortexSettore MED/16 - ReumatologiaPsychiatry and Mental healthNeuropsychology and Physiological Psychologymedicine.anatomical_structureNeurologytDCS — transcranial direct current stimulationBrain stimulationSettore MED/26 - NeurologiaPrimary motor cortexbusinessnon-invasive brain stimulation (NIBS)Neuroscience030217 neurology & neurosurgeryNeuroscienceFrontiers in Human Neuroscience
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Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algo…

2019

Self-Organising Feature Map (SOFM) neural models and the Learning Vector Quantization (LVQ) algorithm were used to produce a classifier identifying the quality classes of compost, according to the degree of its maturation within a period of time recorded in digital images. Digital images of compost at different stages of maturation were taken in a laboratory. They were used to generate an SOFM neural topological map with centres of concentration of the classified cases. The radial neurons on the map were adequately labelled to represent five suggested quality classes describing the degree of maturation of the composted organic matter. This enabled the creation of a neural separator classify…

non-parametric classificationComputer science020209 energyHealth Toxicology and Mutagenesislcsh:Medicine02 engineering and technology010501 environmental sciencesengineering.material01 natural sciencesArticleDigital imageSoftwareArtificial Intelligence0202 electrical engineering electronic engineering information engineeringLearningTopological map0105 earth and related environmental sciencesLVQ algorithmLearning vector quantizationArtificial neural networkSOFM neural networkCompostbusiness.industryCompostinglcsh:RPublic Health Environmental and Occupational Health<i>LVQ</i> algorithmengineeringNeural Networks ComputerbusinessClassifier (UML)AlgorithmAlgorithmsSoftwareInternational Journal of Environmental Research and Public Health
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Diurnal Cycle Relationships between Passive Fluorescence, PRI and NPQ of Vegetation in a Controlled Stress Experiment

2017

In order to estimate vegetation photosynthesis from remote sensing observations; some critical parameters need to be quantified. From all absorbed light; the plant needs to release any excess that is not used for photosynthesis; by non-photochemical quenching; by fluorescence emission and unregulated thermal dissipation. Non-photochemical quenching (NPQ) processes are controlled photoprotective mechanisms which; once activated; strongly control the dynamics of photochemical efficiency. With illumination conditions increasing and decreasing during a diurnal cycle; photoprotection mechanisms needs to change accordingly. The goal of this work is to quantify dynamic NPQ; measured from active fl…

non-photochemical energy dissipation0106 biological sciencesPhotoinhibition010504 meteorology & atmospheric sciencesSciencedroughtsolar-induced fluorescence (SIF)PhotosynthesisPhotochemical Reflectance IndexAtmospheric sciencesFLuorescence EXplorer01 natural sciencesstressDiurnal cycle0105 earth and related environmental sciencesRemote sensingphotosynthesisQuenching (fluorescence)Chemistry(FLEX)Qdrought; stress; non-photochemical energy dissipation; solar-induced fluorescence (SIF); photosynthesis; non-photochemical quenching (NPQ); Photochemical Reflectance Index (PRI); FLuorescence EXplorer; (FLEX)15. Life on landFluorescencePhotochemical Reflectance Index (PRI)non-photochemical quenching (NPQ)Photosynthetically active radiationPhotoprotectionGeneral Earth and Planetary Sciences010606 plant biology & botanyRemote Sensing; Volume 9; Issue 8; Pages: 770
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Fluent Speakers of a Second Language Process Graspable Nouns Expressed in L2 Like in Their Native Language

2017

According to embodied cognition, language processing relies on the same neural structures involved when individuals experience the content of language material. If so, processing nouns expressing a motor content presented in a second language should modulate the motor system as if presented in the mother tongue. We tested this hypothesis using a go-no go paradigm. Stimuli included English nouns and pictures depicting either graspable or non-graspable objects. Pseudo-words and scrambled images served as controls. Italian participants, fluent speakers of English as a second language, had to respond when the stimulus was sensitive and refrain from responding when it was not. As foreseen by emb…

nounsPsychology (all)First languagelcsh:BF1-990Stimulus (physiology)050105 experimental psychologyobjects03 medical and health sciences0302 clinical medicinesecond languageObjectNounMotor systemPsychology0501 psychology and cognitive sciencessemanticsGeneral PsychologyOriginal ResearchCommunicationbusiness.industry05 social sciencesLinguisticslcsh:PsychologyEnglish as a second languageSecond languageembodied cognitionEmbodied cognitionNounbusinessPsychologySemantic030217 neurology & neurosurgeryFrontiers in Psychology
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