Towards a Multi-Scale Effect of Land Mixed Use on Resident Population—A Novel Explanatory Framework of Interactive Spatial Factors

Autor: Liu Liu, Huang Huang, Jiaxin Qi

Publikováno v: Land, Vol 13, Iss 3, p 331 (2024)

Starting from Jane Jacobs’ critiques and largely promoted and emphasized by New Urbanism, land mixed use (LMU) has become prevalent worldwide. It is believed to be an efficient approach to shaping a higher level of vitality in the economy, equality

Externí odkaz: https://doaj.org/article/7f0220dd31af425ba33144637d308fd8

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How wide is the window opened by high-resolution relaxometry on the internal dynamics of proteins in solution?

Autor: Nicolas Bolik-Coulon, Matthias Ernst, Fabien Ferrage, Albert A. Smith, Beat H. Meier

Publikováno v: Journal of Biomolecular NMR
Journal of Biomolecular NMR, 75 (2-3)
Journal of Biomolecular NMR, Springer Verlag, 2021, ⟨10.1007/s10858-021-00361-1⟩
Journal of Biomolecular Nmr

The dynamics of molecules in solution is usually quantified by the determination of timescale-specific amplitudes of motions. High-resolution nuclear magnetic resonance (NMR) relaxometry experiments—where the sample is transferred to low fields for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5efeb234ecfca0cf1f913e5075f073e
https://doi.org/10.1007/s10858-021-00361-1

Clinical prediction rule for bacteremia with pyelonephritis and hospitalization judgment: chi-square automatic interaction detector (CHAID) decision tree analysis model

Autor: Sayato Fukui, Akihiro Inui, Mizue Saita, Daiki Kobayashi, Toshio Naito

Publikováno v: Journal of International Medical Research, Vol 50 (2022)
The Journal of International Medical Research

Objective This study was performed to identify predictive factors for bacteremia among patients with pyelonephritis using a chi-square automatic interaction detector (CHAID) decision tree analysis model. Methods This retrospective cross-sectional sur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b75a3ce81d40b80fb4dc20ae2fef6c70
https://doaj.org/article/d975968afc3e4094909b7796abf694b7

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