596 research outputs found

    第1104回千葉医学会例会・千葉大学大学院医学研究院腫瘍内科学例会

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    ITSN-1s expression in emerging tumors. Immunofluorescent staining with ITSN-1 Ab followed by AF488 Ab of lung sections from mice injected retro-orbitally with A549 (A, C) and A549 + ITSN-1s (B, D) cells. Representative images of small tumors (A, B, b1) and medium/large tumors (C, D, d1) in mice injected with A549 and A549 + ITSN-1s cells respectively. 3 sections per mice (n = 3 mice) were examined and images were acquired using identical parameters. Bars: 40 μm. (TIF 3224 kb

    CVD Growth of Carbon Nanotube Forest with Selective Wall-Number from Fe–Cu Catalyst

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    We reported herein the chemical vapor deposition (CVD) growth of vertically aligned carbon nanotubes (CNTs) with selective wall-number using binary Fe–Cu catalysts. High quality single-walled carbon nanotube (SWNT) and double-walled carbon nanotube (DWNT) forests were predominantly produced with selectivity of ∼92% and ∼85%, respectively. Formation of small catalyst nanoparticles with high areal density and fully reduced state was found key for efficient SWNT growth. Characterization of the catalysts by atomic force microanalysis (AFM) and high resolution transmission electron microscope (HRTEM) showed that the introduction of the proper amount of Cu into the Fe/Al<sub>2</sub>O<sub>3</sub> catalyzing system inhibited diffusion of Fe NPs and facilitated the full reduction of Fe catalyst, thus facilitating the selective growth of SWNTs. DWNTs were also obtained by introducing a thick layer of Cu catalyst onto Fe/Al<sub>2</sub>O<sub>3</sub>. Our work provides a rational way for selective growth of vertically aligned SWNTs and DWNTs, whose remarkable electronic and mechanical properties enable their promising application in nanoelectronics devices

    Value-Optimal Sensor Network Design for Steady-State and Closed-Loop Systems Using the Generalized Benders Decomposition

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    The problem of value-optimal sensor network design for linear systems has been shown to be of the nonconvex mixed integer programming class. While the branch and bound search procedure can be used to obtain a global solution, such a method is limited to fairly small systems. The bottleneck is that during each iteration of the branch and bound search, a fairly slow semi-definite programming (SDP) problem must be solved to its global optimum. In this paper, it is demonstrated that an equivalent reformulation of the nonconvex mixed integer programming problem and subsequent application of the generalized benders decomposition (GBD) algorithm will result in massive reductions in computational effort. While the proposed algorithm has to solve multiple mixed integer linear programs, this increase in computational effort is significantly outweighed by a reduction in the number of SDP problems that must be solved

    Double σ-Aromaticity in a Surface-Deposited Cluster: Pd<sub>4</sub> on TiO<sub>2</sub> (110)

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    We report double σ-aromaticity in a surface-deposited cluster, Pd<sub>4</sub>, on the TiO<sub>2</sub> (110) surface. In the gas phase, Pd<sub>4</sub> adopts a tetrahedral structure. However, surface binding promotes a flat, σ-aromatic cluster. This is the first time aromaticity has been found in surface-deposited clusters. The concept of aromaticity is expected to become instrumental in predicting and interpreting properties of such systems, much like it is for isolated molecules and clusters

    <i>S</i><sub><i>c</i></sub> and rank of DSRABSQL and VDWOA algorithm in <i>G</i><sub><i>2</i></sub>.

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    Sc and rank of DSRABSQL and VDWOA algorithm in G2.</p

    <i>min</i>, <i>avg</i>, <i>max</i> and <i>S</i><sub><i>td</i></sub> of fl1400 obtained by three algorithms.

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    min, avg, max and Std of fl1400 obtained by three algorithms.</p

    The optimal route of Tsp225 output by DSRABSQL algorithm.

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    The optimal route of Tsp225 output by DSRABSQL algorithm.</p

    The value of <i>N</i><sub><i>min</i></sub> for ch150, rat575 and fl1400 obtained by three algorithms.

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    The value of Nmin for ch150, rat575 and fl1400 obtained by three algorithms.</p

    Simulation parameters for the QL, ABSQL and DSRABSQL algorithms.

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    Simulation parameters for the QL, ABSQL and DSRABSQL algorithms.</p
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