0000000000595006

AUTHOR

Zhiqiang Wang

showing 5 related works from this author

Kalanchoe (Crassulaceae) as invasive aliens in China – new records, and actual and potential distribution

2016

6 p., mapas. Post-print del artículo publicado en Journal of Biogeography. Versión revisada y corregida.

0106 biological scienceseducation.field_of_studybiologyEcology010604 marine biology & hydrobiologyPopulationIntroduced speciesPlant ScienceKalanchoebiology.organism_classification010603 evolutionary biology01 natural sciencesInvasive speciesCrassulaceaeTaxonBotanyTaxonomy (biology)ChinaeducationEcology Evolution Behavior and Systematics
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<em>Crassula ovata</em>, una nueva especie alóctona para China continental

2015

Se reporta por primera vez la presencia de Crassula ovata, o planta de jade, en China continental. Se han descubierto dos pequeñas poblaciones en el centro de la ciudad de Chengdu (provincia de Sichuan, oeste de China).

Mainland ChinaGeographybiologyDowntownEcologyCrassula ovataSmall population sizePlant ScienceAlienChinabiology.organism_classificationJADE (particle detector)Collectanea Botanica
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Formation of supramolecular aggregates by hydrogen bonding based on bispyrimidine and bisbarbituric acid

1997

Hydrogen bonds between bispyrimidine and bisbarbituric acid in equal molar ratio can lead to the formation of supramolecular aggregates. This is established by TEM, IR and DSC measurements. Additionally, WAXS pattern showed that the aggregate is of laminar structure. Both the hydrolysis of this system and termination of the aggregate's growth were studied.

Aggregate (composite)Polymers and PlasticsHydrogen bondChemistryOrganic Chemistrytechnology industry and agricultureSupramolecular chemistryCondensed Matter PhysicsHydrolysisChemical engineeringMolar ratioPolymer chemistryMaterials ChemistryOrganic chemistryChemical solutionMoleculePhysical and Theoretical ChemistryMacromolecular Chemistry and Physics
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Multi-modality of polysomnography signals’ fusion for automatic sleep scoring

2019

Abstract Objective The study aims to develop an automatic sleep scoring method by fusing different polysomnography (PSG) signals and further to investigate PSG signals’ contribution to the scoring result. Methods Eight combinations of four modalities of PSG signals, namely electroencephalogram (EEG), electrooculogram (EOG), electromyogram (EMG), and electrocardiogram (ECG) were considered to find the optimal fusion of PSG signals. A total of 232 features, covering statistical characters, frequency characters, time-frequency characters, fractal characters, entropy characters and nonlinear characters, were derived from these PSG signals. To select the optimal features for each signal fusion, …

Computer science0206 medical engineeringHealth InformaticsFeature selection02 engineering and technologyPolysomnographyElectroencephalographyta3112Approximate entropy03 medical and health sciences0302 clinical medicinepolysomnographymedicineEntropy (information theory)aivotutkimusta217ta113Sleep Stagesmedicine.diagnostic_testsignaalinkäsittelybusiness.industryPattern recognitionautomatic sleep scoringMutual informationuni (biologiset ilmiöt)020601 biomedical engineeringmulti-modality analysisRandom forestSignal ProcessingArtificial intelligencebusiness030217 neurology & neurosurgeryBiomedical Signal Processing and Control
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Multi-modality of polysomnography signals’ fusion for automatic sleep scoring

2019

Objective: The study aims to develop an automatic sleep scoring method by fusing different polysomnography (PSG) signals and further to investigate PSG signals’ contribution to the scoring result. Methods: Eight combinations of four modalities of PSG signals, namely electroencephalogram (EEG), electrooculogram (EOG), electromyogram (EMG), and electrocardiogram (ECG) were considered to find the optimal fusion of PSG signals. A total of 232 features, covering statistical characters, frequency characters, time-frequency characters, fractal characters, entropy characters and nonlinear characters, were derived from these PSG signals. To select the optimal features for each signal fusion, four wi…

polysomnographysignaalinkäsittelyautomatic sleep scoringaivotutkimusuni (biologiset ilmiöt)multi-modality analysis
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