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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Fumiaki Uchiumi | |
dc.date.accessioned | 2022-05-02T08:29:59Z | - |
dc.date.available | 2022-05-02T08:29:59Z | - |
dc.date.issued | 2018 | |
dc.identifier.isbn | 9789535138679 9789535138686 9789535140993 | |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/147061 | - |
dc.language.iso | eng | |
dc.publisher | IntechOpen | |
dc.relation.isbasedon | 10.5772/intechopen.74045 | |
dc.relation.uri | https://www.intechopen.com/books/gene-expression-and-regulation-in-mammalian-cells-transcription-toward-the-establishment-of-novel-therapeutics | |
dc.rights.uri | CC BY-NC-ND (姓名標示-非商業性-禁止改作) | |
dc.source | DOAB | |
dc.subject.classification | Genetics | |
dc.subject.other | obesity | |
dc.subject.other | built environment | |
dc.subject.other | activity space | |
dc.subject.other | regression analysis | |
dc.subject.other | UGCoP | |
dc.subject.other | foodscape exposure | |
dc.subject.other | activity space | |
dc.subject.other | commuting route | |
dc.subject.other | space-time kernel density estimation | |
dc.subject.other | time-weighted exposure | |
dc.subject.other | Beijing | |
dc.subject.other | cycling for transportation | |
dc.subject.other | bike paths | |
dc.subject.other | train stations | |
dc.subject.other | subway stations | |
dc.subject.other | adults | |
dc.subject.other | Brazil | |
dc.subject.other | fuel consumption | |
dc.subject.other | emissions estimation | |
dc.subject.other | GPS trace | |
dc.subject.other | big data | |
dc.subject.other | air pollution exposure | |
dc.subject.other | human mobility | |
dc.subject.other | mobile phone data | |
dc.subject.other | dynamic assessment | |
dc.subject.other | GIS | |
dc.subject.other | GPS | |
dc.subject.other | activity space | |
dc.subject.other | environmental exposure | |
dc.subject.other | the uncertain geographic context problem | |
dc.subject.other | noise pollution | |
dc.subject.other | mental disorders | |
dc.subject.other | built environment | |
dc.subject.other | multilevel model | |
dc.subject.other | China | |
dc.subject.other | PM concentrations | |
dc.subject.other | crop residue burning | |
dc.subject.other | correlation analysis | |
dc.subject.other | interannual and seasonal variations | |
dc.subject.other | China | |
dc.subject.other | the neighborhood effect averaging problem (NEAP) | |
dc.subject.other | human mobility | |
dc.subject.other | environmental exposure | |
dc.subject.other | the uncertain geographic context problem | |
dc.subject.other | UGCoP | |
dc.subject.other | car ownership | |
dc.subject.other | car use | |
dc.subject.other | built environment | |
dc.subject.other | spatial autocorrelation | |
dc.subject.other | multilevel Bayesian model | |
dc.subject.other | geographical accessibility | |
dc.subject.other | Healthcare services | |
dc.subject.other | GIS | |
dc.subject.other | E2SFCA | |
dc.subject.other | CHAS | |
dc.subject.other | Singapore | |
dc.subject.other | environmental health | |
dc.subject.other | food environment | |
dc.subject.other | environmental context cube | |
dc.subject.other | environmental context exposure index | |
dc.subject.other | the uncertain geographic context problem (UGCoP) | |
dc.subject.other | GPS | |
dc.subject.other | GIS | |
dc.subject.other | healthcare accessibility | |
dc.subject.other | catchment areas | |
dc.subject.other | access probability | |
dc.subject.other | taxi GPS trajectories | |
dc.subject.other | E2SFCA | |
dc.subject.other | greenspace exposure | |
dc.subject.other | health | |
dc.subject.other | human mobility | |
dc.subject.other | physical activity | |
dc.subject.other | structural equation modeling | |
dc.subject.other | Guangzhou | |
dc.subject.other | healthcare accessibility | |
dc.subject.other | population demand | |
dc.subject.other | geographic impedance | |
dc.subject.other | the elderly | |
dc.subject.other | urban planning | |
dc.subject.other | 3SFCA | |
dc.subject.other | real-time traffic | |
dc.subject.other | crowdedness | |
dc.subject.other | well-being experience | |
dc.subject.other | long-distance walking | |
dc.subject.other | collective leisure activity | |
dc.subject.other | walking event | |
dc.subject.other | urban leisure | |
dc.subject.other | missing data | |
dc.subject.other | spatial data | |
dc.subject.other | imputation | |
dc.subject.other | geographic imputation | |
dc.subject.other | activity space | |
dc.subject.other | ecological momentary assessment | |
dc.subject.other | EMA | |
dc.subject.other | walking | |
dc.subject.other | active travel | |
dc.subject.other | ageing | |
dc.subject.other | physical environment | |
dc.subject.other | personal projects | |
dc.subject.other | activity space | |
dc.subject.other | Public Participatory GIS (PPGIS) | |
dc.subject.other | spatial accessibility | |
dc.subject.other | multimodal network | |
dc.subject.other | primary healthcare | |
dc.subject.other | China | |
dc.subject.other | 2009 influenza A(H1N1) pandemic | |
dc.subject.other | transport modes | |
dc.subject.other | rail travel | |
dc.subject.other | spatial spread | |
dc.subject.other | quantile regression | |
dc.subject.other | green space | |
dc.subject.other | road traffic accidents | |
dc.subject.other | cognitive aging | |
dc.subject.other | activity space | |
dc.subject.other | life-course perspectives | |
dc.subject.other | environmental exposures | |
dc.title | Gene Expression and Regulation in Mammalian Cells - Transcription Toward the Establishment of Novel Therapeutics | |
dc.type | 電子教科書 | |
dc.classification | 自然科學類 | |
Theme: | 教科書-自然科學類 |
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