https://www.selleckchem.com/products/cx-5461.html
19±0.21 mm2, p = 0.93; intra-class correlation coefficient = 0.90; average bias = 0.01, 95% confidence interval of limits of agreement -0.18-0.2. CONCLUSIONS A customized workflow generated via an open-source data analytics platform that applied machine-learning methods demonstrated reliable measurements of EZ area defect from en face thickness maps. The result of our semi-automated approach were comparable to manual measurements.Oily wastewater, especially water-oil emulsion has become serious environmental issue and received global
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