38 research outputs found

    第828回千葉医学会例会・第6回磯野外科例会 88-3.

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    Western blotting was performed to examine the protein levels of Twist in the indicated cells; β-actin was used as control. (JPG 151 kb

    Porous Carbon-Supported Gold Nanoparticles for Oxygen Reduction Reaction: Effects of Nanoparticle Size

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    Porous carbon-supported gold nanoparticles of varied sizes were prepared using thiolate-capped molecular Au<sub>25</sub>, Au<sub>38</sub>, and Au<sub>144</sub> nanoclusters as precursors. The organic capping ligands were removed by pyrolysis at controlled temperatures, resulting in good dispersion of gold nanoparticles within the porous carbons, although the nanoparticle sizes were somewhat larger than those of the respective nanocluster precursors. The resulting nanocomposites displayed apparent activity in the electroreduction of oxygen in alkaline solutions, which increased with decreasing nanoparticle dimensions. Among the series of samples tested, the nanocomposite prepared with Au<sub>25</sub> nanoclusters displayed the best activity, as manifested by the positive onset potential at +0.95 V vs RHE, remarkable sustainable stability, and high numbers of electron transfer at (3.60–3.92) at potentials from +0.50 to +0.80 V. The performance is comparable to that of commercial 20 wt % Pt/C. The results demonstrated the unique feasibility of porous carbon-supported gold nanoparticles as high-efficiency ORR catalysts

    Thermal Decomposition Mechanism of Ammonium Nitrate on the Main Crystal Surface of Ferric Oxide: Experimental and Theoretical Studies

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    Understanding the decomposition process of ammonium nitrate (AN) on catalyst surfaces is crucial for the development of practical and efficient catalysts in AN-based propellants. In this study, two types of nano-Fe2O3 catalysts were synthesized: spherical particles with high-exposure (104) facets and flaky particles with high-exposure (110) facets. Through thermal analysis and particle size analysis, it was found that the nanosheet-Fe2O3 catalyst achieved more complete AN decomposition despite having a larger average particle size compared to nanosphere-Fe2O3. Subsequently, the effects of AN pyrolysis on the (110) and (104) facets were investigated by theoretical simulations. Through studying the interaction between AN and crystal facets, it was determined that the electron transfer efficiency on the (110) facet is stronger compared to that on the (104) facet. Additionally, the free-energy step diagrams for the reaction of the AN molecule on the two facets were calculated with the DFT + U method. Comparative analysis led us to conclude that the (110) facet of α-Fe2O3 is more favorable for AN pyrolysis compared to the (104) facet. Our study seeks to deepen the understanding of the mechanism underlying AN pyrolysis and present new ideas for the development of effective catalysts in AN pyrolysis

    PRISMA 2009 Flowchart depicting the selection process for the studies included in the meta-analysis.

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    <p>PRISMA 2009 Flowchart depicting the selection process for the studies included in the meta-analysis.</p

    Comparisons of total yield and OVPUA of different planting patterns.

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    <p>MME  =  monoculture maize in even rows, MMW  =  monoculture maize in alternating wide and narrow rows, MA  =  alfalfa monoculture, IMA1  =  maize intercropped with one row of alfalfa in the wide rows, IMA2  =  maize intercropped with two rows of alfalfa in the wide rows. Values in the parentheses are yields based on the whole of the intercropping area, including the areas occupied by both maize and alfalfa, and are equal to the yields of maize or alfalfa divided by their respective area proportion. The intercropping area proportions of maize and alfalfa were respectively 76.9% and 23.1% in the IMA1 treatment, while the intercropping area ratios occupied by alfalfa and maize were 53.8% and 46.2% in the IMA2 treatment. Different letters in the same column following the values indicate significant difference between different cropping patterns, and * denotes significant difference between years (<i>P</i> <0.05). Value  =  mean ± S.</p><p>Comparisons of total yield and OVPUA of different planting patterns.</p

    Leaf area index comparisons of maize at the harvest stage under monoculture and intercropping.

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    <p>Significant differences between different cropping patterns are indicated by lower case letters (<i>P</i> <0.05). The other symbols are the same as for <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0110556#pone-0110556-g002" target="_blank">Figure 2</a>.</p

    Results of repeated measures ANOVA on maize leaf area index (LAI) and yield, alfalfa yield and comprehensive benefit analysis of total yield and output value per unit area (OVPUA), with cropping pattern (CP) as the independent variable and year (Y) as the repeated measure.

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    <p>Df  =  degrees of freedom, ns  =  no significant difference, * <i>p</i> <0.05, ** <i>p</i> <0.01</p><p>Results of repeated measures ANOVA on maize leaf area index (LAI) and yield, alfalfa yield and comprehensive benefit analysis of total yield and output value per unit area (OVPUA), with cropping pattern (CP) as the independent variable and year (Y) as the repeated measure.</p
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