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Let's decode scaling challenges.
Increased sequencing throughput presents a major scaling challenge to existing shotgun metagenomic classification algorithms (Drge and McHardy, 2012).
Scaling challenges.
Working at such a tiny scale presents challenges when it comes to actually probing the surface of a material at the nanoscale.
Motion at this scale presents challenges because viscous forces dominate inertial forces.
Handling data at this scale presents challenges even for researchers with extensive programming experience, while for most experimental biologists they are simply beyond reach.
Agility and efficiency are no longer nice-to-haves within the enterprises, but doing this at scale presents mighty challenges and inconvenient changes to the incumbents' business models.
The control of protein organization on sub-100 nm length scales presents particular challenges.
However, estimating the full range of effects of climate change on health over long time scales presents additional challenges to epidemiologic methods.
However, the teaching and learning of concepts related to size and scale present major challenges because objects at certain scales are unable to be perceived by humans with the naked eye.
Scaling up presents challenges and opportunities to companies at any size, in any industry.
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CEO of Professional Science Editing for Scientists @ prosciediting.com