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In this paper, we developed a new mixed reforming method for hydrogen production by combining a dense ceramic membrane Ba0.5Sr0.5Co0.8Fe0.2O3−δ(BSCFO) with a catalyst LiLaNiO/γ-Al2O3 in a membrane reactor and reforming a simulated gasoline.
Toward this goal, we used a complete genetic approach by combining a dense genome-wide map of 100 000 single-nucleotide polymorphisms (SNPs) with data from uniparental markers from the mitochondrial genome and the nonrecombining portion of the Y chromosome.
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By combining a novel design with high-precision techniques for carving semiconductors, the NEC team has developed an experimental transistor with a key feature that's 20 times smaller than in the transistors found on the densest commercially available chips.
In this study, we showed that by combining dense whole-genome predictors with GWAMA-based polygenic scores in a simple meta-model, we achieve higher prediction accuracy than by using either model on its own.
We have developed a versatile tool for high-throughput analysis of DNA and DNA-binding molecules by combining microfluidic and dense DNA arrays.
The results from the meta-model we developed demonstrate that by combining dense whole-genome predictors with GWAMA-based risk scores we can improve prediction accuracy.
By a proper selection of the ion conducting materials composition, structure and thickness, and by combining in a suitable way both dense and porous layers, the oxygen flux, performance and stability of dense ceramic membranes can be considerably improved.
Combining a compact, power-dense lithium-ion battery — the same chemistry used by the Volt, Fisker and Tesla Roadster electric car — with a downsized V-6 engine, the Mercedes does save fuel.
By combining it with a transport model which extends the kinetic gas theory with dense-fluid correction, the viscosity and thermal conductivity of DME are also reproduced well for the thermodynamic states from compressed liquid to supercritical fluid.
Imputation methods have been extensively used to predict the genotypes of untyped markers by combining reference panels of individuals genotyped at a dense set of SNPs with a study sample genotyped at a subset of the SNPs [ 14, 15].
The complementary use of traditional linkage mapping and LD-based association mapping would further improve mapping resolution without requiring dense marker maps by combining the advantages and overcoming some of the inherent limitations of both approaches (Myles et al. 2009; Lu et al. 2010).
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