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The granular size distribution of dry blend was optimized to reduce the porosity of set material and the imitative RPC material was characterized by high silica fume content and with very low water to binder ratio.
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The concentration of CMC (7%) with PVA (8%) was optimized, blended in different ratios (0 100%) and electrospun to get nanofibers.
The concentration of HEC (5%) with PVA (15%) was optimized, blended in different ratios (30 50%) and electrospun to get smooth nanofibers.
The spinnability was optimized by determining the narrow temperature window for each blend via rheological studies.
Here we report the development and field evaluation of an odor blend consisting of known mosquito attractants namely carbon dioxide, ammonia and carboxylic acids, which was optimized at distances comparable with attractive ranges of humans to mosquitoes.
The gap placement was optimized iteratively.
Resolution was optimized by deconvolution microscopy software.
In addition, the blending shape can be optimized by genetic algorithm after assigning some fiducial points on the blend.
First, PV devices of inverted architectures have been fabricated using MEH-PPV and CZAS NCs and their blending ratio has been optimized for optimum power conversion.
The membrane properties were optimized by blending high molecular weight polyvinylpyrrolidone (PVP) into the polysulfone (PSf) casting solution.
Such synergistic effect can be optimized by adjusting the blending fraction.
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