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However, non-daily e-cigarette users were no more likely to quit, attempt to quit or cut back than people who did not use the devices at all
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This study demonstrates that AI can systematically and efficiently identify novel features of emerging tobacco products, in this case the presence of screens on thousands of e-cigarette devices, said Elisha Crane, MPH, a public health data scientist at the CDC Foundation and the studys senior author
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Before analyzing samples, verification standards with water activity (aw) values of 0.250, 0.500, 0.760, and 0.920 were tested to confirm instrument accuracy
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