206 research outputs found

    Toward a mechanistic understanding of microfluidic droplet-based extraction and separation of lanthanides

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    Droplet-based microfluidic extraction is a promising way for effective lanthanides extraction due to its outstanding mass transfer performance. The separation process can be greatly enhanced with the droplet-based microfluidic extraction technique. However, the interactions between mass transfer, microfluidic dynamics and extraction kinetics are still unclear, which has hindered further manipulation on microfluidic extraction to boost extraction performance. In this study, the mechanisms of microfluidic droplet-based extraction and separation intensification of lanthanides are for the first time unveiled by using a numerical simulation model. The limiting factors for the performance of droplet-based microfluidic extraction are identified through a model-based parametric analysis. The numerical analyses provide a comprehensive understanding of droplet-based microfluidic extraction systems and offer operation and optimization guidelines for future research in this area

    Adaptace marketingove strategie LGI pro ─Źesk├Ż trh

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    The main goal of the thesis is to develop a specific proposition for adaptation of LGI Czechia's marketing strategy with respect to its current position on the Czech market. The first part of the thesis offers indispensable theoretical knowledge of marketing theory and financial analysis. These theoretical foundations are practically applied in the second part of the thesis, which begins with introduction of LGI Czechia, analysis of its marketing strategy and marketing environment as well as its internal predispositions. Based on particular findings the thesis summarizes key marketing areas suitable for improvement. Next part focuses on the adaptation of marketing strategy as it captures problematic areas and develops specific marketing solutions for improvement. Additionally the thesis also offers basic financial analysis of LGI Czechia in comparison with its competitor Kühne + Nagel

    Venn diagram showing the genes expressed in each of the three stages of rice embryo development.

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    <p>R1, 3ÔÇô5 DAP; R2, 7 DAP; R3, 14 DAP. Among these genes, 20,856 are expressed at all three developmental stages, 952 are co-expressed in R1 and R2, 792 are co-expressed in R2 and R3, and 793 are co-expressed in R1 and R3. The number of stage-specifically expressed genes is 1,131 (R1), 1,443 (R2), and 1,223 (R3), respectively.</p

    Climate Change and Maize Yield in Iowa

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    <div><p>Climate is changing across the world, including the major maize-growing state of Iowa in the USA. To maintain crop yields, farmers will need a suite of adaptation strategies, and choice of strategy will depend on how the local to regional climate is expected to change. Here we predict how maize yield might change through the 21<sup>st</sup> century as compared with late 20<sup>th</sup> century yields across Iowa, USA, a region representing ideal climate and soils for maize production that contributes substantially to the global maize economy. To account for climate model uncertainty, we drive a dynamic ecosystem model with output from six climate models and two future climate forcing scenarios. Despite a wide range in the predicted amount of warming and change to summer precipitation, all simulations predict a decrease in maize yields from late 20<sup>th</sup> century to middle and late 21<sup>st</sup> century ranging from 15% to 50%. Linear regression of all models predicts a 6% state-averaged yield decrease for every 1┬░C increase in warm season average air temperature. When the influence of moisture stress on crop growth is removed from the model, yield decreases either remain the same or are reduced, depending on predicted changes in warm season precipitation. Our results suggest that even if maize were to receive all the water it needed, under the strongest climate forcing scenario yields will decline by 10ÔÇô20% by the end of the 21<sup>st</sup> century.</p></div

    Functional analysis of differentially expressed genes (DEGs) based on RNA-Seq data.

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    <p>GO functional enrichment analysis of differentially expressed genes in R2-v-R1 and R2-v-R3. Based on sequence homology, 1,011 DEGs could be categorized into three main categories (cellular component, molecular function, and biological process), in which there are 14, 17, and 20 functional groups, respectively. Among these groups, the terms cell part (GO: 0044464), binding (GO: 0005488), and metabolic process (GO: 0008152) are dominant in each of the three main categories, respectively.</p

    Distribution of the gene sequences detected in rice developing embryo via RNA-Seq.

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    <p>Distribution of the gene sequences detected in rice developing embryo via RNA-Seq.</p
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