Structural Transitions and Magnetic Structure in NH4CuCl3 via 14N-NMR

We report results of 14N-NMR experiments on NH4CuCl3 at the magnetic field of 7 T, where the 1/4-magnetization plateau is observed at low temperatures. The quadrupole splitting parameter $\nu_{z}$ splits below 70 K, indicating a structural phase transition. At 4.2 K, eight N sites with distinct values of both $\nu_{z}$ and the magnetic hyperfine shift $K_{z}$ are resolved in the NMR spectrum for general field directions. We then conlude that the magnetic structure in the 1/4-plateau does not break the symmetry of the crystal. Based on the NMR and the recent neutron scattering results by Ruegg et al. [Phys. Rev. Lett. 93 (2004) 037207], we propose that triplet dimers in the 1/4-plateau is formed not between the nearest neighbor pairs but over different chains.Comment: 7 pages, 5 figures, Proceedings for the International Symposium on Quantum Spin Systems, submitted to Prog. Theor. Phys. Author chang

Vaporization of sodium from a partially molten chondritic material

In order to examine vaporization behavior of sodium for partially molten chondritic materials, heating experiments were carried out using two starting materials prepared from the Etter (L5) chondrite (grain-sizes : sample A, φ torr, and heating duration up to 160min. Chemical analyses and petrographical examinations were carried out for starting materials and run products. The rates of vaporizations for sodium were estimated for partial melts (degree of melting=11-34%) at 1200-1400℃. Differences in the vaporization rates for the partially molten charges obtained from different starting materials were not detected clearly at the same temperatures. Systematically different trends of sodium vaporization rate are found between those obtained in this work and those previously reported for total melts (at 1450-1600℃) from similar starting materials (TSUCHIYAMA et al., 1981). It appears that the vaporization mechanism of Na is basically the same in the temperature range from 1200 to 1600℃ for partially to completely molten charges

Locking the β\u3csub\u3e3\u3c/sub\u3e Integrin I-like Domain into High and Low Affinity Conformations with Disulfides

Although integrin α subunit I domains exist in multiple conformations, it is controversial whether integrin β subunit I-like domains undergo structurally analogous movements of the α7-helix that are linked to affinity for ligand. Disulfide bonds were introduced into the β3 integrin I-like domain to lock its β6-α7 loop and α7-helix in two distinct conformations. Soluble ligand binding, ligand mimetic mAb binding and cell adhesion studies showed that disulfide-bonded receptor αIIbβ3T329C/A347C was locked in a low affinity state, and dithiothreitol treatment restored the capability of being activated to high affinity binding; by contrast, disulfide-bonded αIIbβ3V332C/M335C was locked in a high affinity state. The results suggest that activation of the β subunit I-like domain is analogous to that of the α subunit I domain, i.e. that axial movement in the C-terminal direction of the α7-helix is linked to rearrangement of the I-like domain metal ion-dependent adhesion site into a high affinity conformation

〈エッセイ〉岡倉由三郎先生 音声学と英語教育に道を開いた明治の草分け (1) : 生い立ち

この内容は、ELEC（一般財団法人 英語教育協議会ELEC（エレック）英語研修所）が運営するWEBサーバで公開している「ELEC通信」[http://www.elec.or.jp/teacher/communication/] で公開されたものです

Neural architectures for fine-grained entity type classification

In this work, we investigate several neural network architectures for fine-grained entity type classification and make three key contributions. Despite being a natural comparison and addition, previous work on attentive neural architectures have not considered hand-crafted features and we combine these with learnt features and establish that they complement each other. Additionally, through quantitative analysis we establish that the attention mechanism learns to attend over syntactic heads and the phrase containing the mention, both of which are known to be strong hand-crafted features for our task. We introduce parameter sharing between labels through a hierarchical encoding method, that in lowdimensional projections show clear clusters for each type hierarchy. Lastly, despite using the same evaluation dataset, the literature frequently compare models trained using different data. We demonstrate that the choice of training data has a drastic impact on performance, which decreases by as much as 9.85% loose micro F1 score for a previously proposed method. Despite this discrepancy, our best model achieves state-of-the-art results with 75.36% loose micro F1 score on the well-established FIGER (GOLD) dataset and we report the best results for models trained using publicly available data for the OntoNotes dataset with 64.93% loose micro F1 score

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フランス ノ ケイジ ワカイ 1

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