146 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

    Imparting Tunable and White-Light Luminescence to a Nanosized Metal–Organic Framework by Controlled Encapsulation of Lanthanide Cations

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    An alternative way was demonstrated to fabricate highly luminescent MOFs and white-light emitter by encapsulating lanthanide­(III) (Ln<sup>3+</sup>) cations into the channels of Al-MIL-53-COOH (<b>1</b>) nanocrystals. The framework can serve as both a host and an antenna for protecting and sensitizing the luminescence of the Ln<sup>3+</sup> cations. PXRD, TEM, FTIR, TGA, and N<sub>2</sub> adsorption measurements were performed to determine the structure, thermal stability, and BET surface area of the obtained products. The Ln<sup>3+</sup>-incorporated nanocrystals show strong emission under UV-light irradiation, and their luminescent properties were systematically studied. In contrast to the essentially unchangeable luminescence of lanthanide-based MOF, the luminescence of Ln<sup>3+</sup> @<b>1</b> allows design and tuning. The versatile luminescence, good thermal stability, nanometer size, and compatibility with aqueous condition reveal these materials may have potential applications in LED lamps, barcoded materials, and biological sensors. In addition, the thin films of Ln<sup>3+</sup>@<b>1</b> were prepared by chemical solution deposition (CSD) from their metastabilized colloidal solutions, which open the way to practical applications such as pellets and sensors for vapors

    Influence of parameters on clustering results in four datasets.

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    <p>Influence of parameters on clustering results in four datasets.</p

    The clustering results of DBSCAN, DP Clustering and DPAM using Spiral dataset.

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    <p>(A) DBSCAN (<i>MinPts</i> = 2.5, <i>Eps</i> = 2), (B) DP (<i>percent</i> = 5), (C) DPAM.</p

    The three steps of DPAM on synthetic datasets.

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    <p>The three steps of DPAM on synthetic datasets.</p

    The clustering results of k-means, DPAM and AP with <i>FM</i>.

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    <p>The clustering results of k-means, DPAM and AP with <i>FM</i>.</p

    The clustering results of DBSCAN, DP Clustering and DPAM using Flame dataset.

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    <p>(A) DBSCAN (<i>MinPts</i> = 1, <i>Eps</i> = 6), (B) DP (<i>percent</i> = 5), (C) DPAM.</p

    The three steps of DPAM on dataset Donut.

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    <p>(A) Stage 1, (B) Stage 2, (C) Stage 3.</p

    The clustering results of DBSCAN, DP Clustering and DPAM using Jain dataset.

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    <p>(A) DBSCAN (<i>MinPts</i> = 2.9, <i>Eps</i> = 20), (B) DP (<i>percent</i> = 40), (C) DPAM.</p

    The three steps of DPAM on dataset Jain.

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    <p>(A) Stage 1, (B) Stage 2, (C) Stage 3.</p
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