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Recent research suggests that airborne pollutants, deposited in the urban environment, can be efficiently studied by attic dust analysis.
Here, an attic dust study was carried out to determine the long-term airborne contamination load in the industrial town of Ajka, Hungary, by attic dust analysis.
The Micro-Imaging Dust Analysis System (MIDAS) atomic force microscope (AFM) onboard the Rosetta orbiter was the first such instrument launched into space in 2004.
In this paper, a novel approach for dust analysis and classification is proposed, employing machine learning and fuzzy logic to set up a simple and actual tool.
To assess the health risk of workers in the smelting unit of an alloy steel factory to long term exposure to heavy metals, a simple, fast and less expensive method was used for evaluation with the combination of suspended dust analysis and PM10 measuring.
All the systems onboard the probe, including the camera and dust analysis instruments, performed as expected.
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In the photo essay above, she explains how she collected the dust, what analysis looks like in the lab and what she hopes to learn.
What the dust and analysis really shows is that we cannot put Sept. 11 in the past.
Briefly, before extraction and analysis, dust samples were sieved through a 100-mesh sieve to obtain the fine (< 150 μm) dust.
Here we identify a potential source region for Martian dust based on analysis of elemental abundance data.
Other astronomers are excited by the find, but they note that the thick foreground dust makes data analysis tricky.
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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