23,697 research outputs found

    Dynamics of composite Haldane spin chains in IPA-CuCl3

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    Magnetic excitations in the quasi-one-dimensional antiferromagnet IPA-CuCl3 are studied by cold neutron inelastic scattering. Strongly dispersive gap excitations are observed. Contrary to previously proposed models, the system is best described as an asymmetric quantum spin ladder. The observed spectrum is interpreted in terms of ``composite'' Haldane spin chains. The key difference from actual S=1 chains is a sharp cutoff of the single-magnon spectrum at a certain critical wave vector.Comment: 4 pages 4 figure

    Towards learning free naive bayes nearest neighbor-based domain adaptation

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    As of today, object categorization algorithms are not able to achieve the level of robustness and generality necessary to work reliably in the real world. Even the most powerful convolutional neural network we can train fails to perform satisfactorily when trained and tested on data from different databases. This issue, known as domain adaptation and/or dataset bias in the literature, is due to a distribution mismatch between data collections. Methods addressing it go from max-margin classifiers to learning how to modify the features and obtain a more robust representation. Recent work showed that by casting the problem into the image-to-class recognition framework, the domain adaptation problem is significantly alleviated [23]. Here we follow this approach, and show how a very simple, learning free Naive Bayes Nearest Neighbor (NBNN)-based domain adaptation algorithm can significantly alleviate the distribution mismatch among source and target data, especially when the number of classes and the number of sources grow. Experiments on standard benchmarks used in the literature show that our approach (a) is competitive with the current state of the art on small scale problems, and (b) achieves the current state of the art as the number of classes and sources grows, with minimal computational requirements. © Springer International Publishing Switzerland 2015

    Partial spin freezing in the quasi-two-dimensional La2(Cu,Li)O4

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    In conventional spin glasses, the magnetic interaction is not strongly anisotropic and the entire spin system freezes at low temperature. In La2(Cu,Li)O4, for which the in-plane exchange interaction dominates the interplane one, only a fraction of spins with antiferromagnetic correlations extending to neighboring planes become spin-glass. The remaining spins with only in-plane antiferromagnetic correlations remain spin-liquid at low temperature. Such a novel partial spin freezing out of a spin-liquid observed in this cold neutron scattering study is likely due to a delicate balance between disorder and quantum fluctuations in the quasi-two dimensional S=1/2 Heisenberg system.Comment: 4 pages, 4 figure

    Isolation and Identification of Simiarenol From the Leaves of Ficus Aurantiacea Griff (Moraceae)

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    Ficus aurantiace a Griff (Mor aceae) collected from BukitKaba forest park, Bengkulu, was studied for the isolation andidentification of its bioactive constituents. This plant is a climbingtree, having large colored fruits, orange to red marbled withwhite spots. The methanol-soluble extract of the leaves was eluted10 silica-gel column chromatography several times using mixturesof chloroform-methanol as the elution solvent, leading to theisolation of a known compound, simiarenol. The structure ofsimiarenol was judged by its data comparison to published values,and based all the evaluation results of its physical andspectroscopic data. such as UV, IR, MS, one- and two-dimensional NMR, HMQC and HMBC
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