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The project has led to data, knowledge, models and design criteria for the future design, planning and sustainable management of passive treatment systems.
The continuous increase of our scientific knowledge has led to data quantities that can no longer be processed by the human mind alone: the Reaxys® database contains over 40 million chemical reaction entries and lists over 100 million compounds [1].
This has led to data being published in file formats such as CSV, XML, JSON, and RDF, formats that are used by data analysts and developers who are familiar with databases, pivot tables, and programming.
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Dichotomising the variables might have led to data loss.
Virus samples may have been concentrated in supposed high-risk areas, which could have led to data bias.
Traditional exclusion of pregnant women from clinical trials has led to limited data on safety and efficacy of artemisinin based combinations considered for general deployment especially in Africa.
The broad availability of data has led to the development of data science.
On the other hand, the wide uptake of Web access standards for geospatial data has led to a wealth of data sources within GEOSS which can be effectively combined using eHabitat.
The rapid growth of cloud computing has led to establishing numerous data centers around the world.
The growth of cloud computing model has led to establishing numerous data centers around the world that consume huge amounts of power.
The compelling need to combine studies and to take advantage of legacy data has led to efforts to harmonize similar data elements.
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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