hBNAs transient heat conduction experimental measurement data

Name: hBNAs transient heat conduction experimental measurement data
Creator: UCLA
Published: 2018-01-01T00:00:00+08:00

Harvard Dataverse2018-12-11 更新2026-04-09 收录

材料热物性表征

贝叶斯估计

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/YPOKWT 数据链接链接失效反馈

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资源简介：

This dataset is used to reproduce the posterior probability distribution of thermal diffusivity used in supporting information Figure S40.

提供机构：

UCLA

创建时间：

2018-01-01

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Mean parameter estimates, standard deviation (SD), Monte Carlo error (MC error), odds ratios (OR), and 95% credible intervals for best-fitting model investigating the effect of covariates on the probability of bovine tuberculosis infection from 2005–2010 in Modified Accredited Zone in Michigan, USA.

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The developmental trajectory of human skeletal myogenesis and the transition between progenitor and stem cell states are unclear. To address this, we employed single cell RNA-sequencing to profile hum

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S2. Fitting model candidates to high-fidelity D 1j datasets from Anchoring the mean generation time in the SEIR to mitigate biases in ℜ 0 estimates due to uncertainty in the distribution of the epidemiological delays

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This appendix illustrates the process of fitting various parameterisations of the SE1IjR model (M1j) to high-fidelity D1j incidence reports. We mean by parameterisation the decision of categorising mo

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hBNAs transient heat conduction experimental measurement data

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