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We demonstrate that the transcriptional output is proportional to the intensity of green light applied and that the green sensor is orthogonal to the red sensor at intensities of 532-nm light less than 0.01 W/m2.
In each iteration, we select a red sensor s∈RD with the maximum number of yellow sensors in N s).
The stated costs, capabilities, and resolutions of the RED sensor set and accessory/lens selection utterly outgun everything else on the market by a huge margin.
According to Algorithm 3, when a red sensor v is marked green, all yellow neighbors of v are dominated by v.
If more than one red sensors have the same number of the yellow neighbors, then the algorithm selects the red sensor with the highest ID.
The algorithm repeats the following steps, until the condition YL=∅ is satisfied: Select a red sensor s∈V with the maximum number of yellow neighbors Sensor s is marked green and its yellow neighbors in N s)∩YL are marked red Delete sensors of N s)∩YL from YL. Select a red sensor s∈V with the maximum number of yellow neighbors.
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In the third phase, we need to select supporters (added into S2) from red sensors to dominate all yellow sensors.
It sounds too good to be true, but the thermometer uses 16 infra red sensors to take 4,000 measurements and make an accurate measurement.
Last, each blue sensor u deletes red sensors from the set N2 u) and deletes yellow sensors from the set N u).
We need n steps to pick out red sensors (added into RD) and yellow sensors (added into YL) from V. Algorithm 3 executes at most |YL| iterations.
Researchers are currently studying a group of patients with knee injuries who are each fitted with infra red sensors - similar to ones used to create special effects - before taking to the treadmill.
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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