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Reconstructing a vascular network is a common task for three-dimensional (3-D) tissue engineering.
A high quality transportation system is necessary in a modern economy, and a road network is a common and significant, component of the system.
The use of sampled data to estimate properties of a network is a common practice; however, current network generation methods do not account for the uncertainty in the estimates due to sampling.
Network scanning – an attempt to enumerate and/or fingerprint hosts and services on some victim network – is a common precursor to an attack, and often has utility in post-incident forensics.
Finally, note that the lack of data for any of the above described metrics in a few cells of a large network is a common situation, e.g., because the corresponding trace events have been erroneously deactivated.
We propose that the tumor vascular network is a common and primary cause of intratumoral heterogeneity.
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The ubiquity of sensor networks is a common trend nowadays.
To improve the multimedia streaming services, QoS for users over wireless networks is a common goal shared by content providers, network service providers, and smart device manufacturers.
Learning regulatory networks is a common task in systems biology research [ 5, 6], and one that is confounded by the restrictions associated with complex model systems.
Smartphones may offer an advantage over classical e-learning as in many developing countries mobile telephone networks are a common alternative to networked computing [ 5].
Gene regulatory networks are a common tool to describe the chemical interactions between genes in a living cell.
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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