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It is necessary to note that films with high ZnS content (A17S, A18S, A19S) were turbid and did not show optical transparency.
Practical difficulties with the UV photolysis of H2O2 are: (1) low wavelength (below 200 400 nm) required to make the process efficient, and (2) turbid waters containing strong UV absorbers such as aromatics organic compounds require higher light concentration, which increases the cost of the process.
However, the retrieval of chlorophyll data based on the application of bio-optical algorithms (e.g., Level 2, chl-a product) is still problematic in Case 2, turbid nearshore waters (Wang and Shi 2007 Gitelson et al. 2009;Odermatt et al. 2012).
This increases the accessibility of electroporation, making its use feasible for a wide range of non-traditional applications such as the sterilization of water [29], [30], turbid beverages [31], and drugs [32].
For the highest µs' examined, penetration in a µs' = 10 cm−1 turbid medium would be equivalent to ~4 mm.
Since the imaging depth of high-resolution photoacoustic microscopy is typically 2-3 mm, light penetration over the ultrasonic focal distance of 12.7 mm in a solution with µs' = 1.7 cm−1 (the value used for Fig. 5 below) is roughly equivalent to light penetration over ~2.2 mm in a µs' = 10 cm−1 turbid medium.
On rare occasion, two wells became turbid, and one experiment produced 12 turbid wells.
The forecast accuracy in the z5 Turbid phlegm syndrome is lower by ML-kNN than by RankSVM and BPMLL.
There are 15 syndromes in differentiation diagnosis, of which 6 commonly-used patterns are selected in our study, including: z1 Deficiency of heart qi syndrome; z2 Deficiency of heart yang syndrome; z3 Deficiency of heart yin syndrome; z4 Qi stagnation syndrome; z5 Turbid phlegm syndrome and z6 Blood stasis syndrome.
Table 3 demonstrates that out of the six syndromes, four syndromes z3 Deficiency of heart yin syndrome, z4 Qi stagnation syndrome, z5 Turbid phlegm syndrome and z6 Blood stasis syndrome are better by ML-kNN than by kNN; while their forecast accuracy in the other two syndromes z1 Deficiency of heart qi syndrome and z2 Deficiency of heart yang syndrome is slighter lower by ML-kNN than by kNN.
Each strain was grown in 20 mL casein/yeast broth (15) at 37°C in 5% CO2 until turbid.
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