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The platform is derived from intensive experimental data involving macromolecules, drugs, synthetic libraries, natural products, and metabolites.
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The data can be either stored to a cloud network such as scientific data (i.e. Climate modeling, Fusion, Bioinformatics…etc) or use the cloud network for data-intensive tasks such as collecting experimental data, dumping data on parallel storage systems, run large scale simulations…etc.
The developed model is validated with experimental data from the intensive planted roof located in Chongqing.
This work encompassed planning and designing of infrastructural equipment, like orifice meter, venturi feeder, rotary air lock and wetted wall cyclone carrying out intensive experimental work and detailed analysis of data thereof.
The evidence from the experimental data suggests that the intensive margin may be an interesting margin to consider, especially if reforms of interest depend on hours requirements.
However, experimental data collection is often labour and cost intensive and can give rise to production losses.
Despite the growing performance of modern computers and clusters, calibration of such models from noisy experimental data remains a nontrivial and often computationally intensive task.
For experimental data sets from high heterozygosity species it can be computationally intensive to determine the cluster category distribution at large sequence difference thresholds.
From the intensive experimental results, we find that the RS processing based on cloud computing performs best from the aspects of programming convenience, data management and computational efficiency simultaneously, especially when processing huge amount of data.
analysed the experimental data.
M.V. processed the experimental data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com