This is a review of the three- and four- calculations by the Faddeev equations with the Pauli corrected - potentials. The - interaction is constructed by using the microscopic nucleon-nucleon treatment which is based on the resonating group method and the generalized orthogonality condition model.

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There are various kinds of smart materials with a martensitic transformation, such as the shape memory alloy and the tranformation-induced plasticity (TRIP) steel, etc.; their applications to actuators, structural materials, etc., are investigated. The martensitic particles orient against the loading axis in the micro region so that it may be possible to improve their mechanical properties by the control of their orientation like the composite materials. Here, the fraction tensor, which components are the line fractions of the martensite, was defined in order to evaluate the orientation of the martensite. The validity of the the fraction tensor for investigating their orientations is discussed by a comparison of the fabric tensor. Then, the fraction tensors were measured from the micrographs of TRIP steel previously obtained. Furthermore, the orientation of the martensite in the TRIP steel was discussed by a polar diagram of the line fraction and the fraction tensor. Finally, the dependence of the fraction tensor on plastic strain, temperature and stress state was discussed.

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Until now, the output probability distribution prediction for the sound insulation system was investigated by many researchers based on two contrastive structural and descriptive approaches especially from a methodological viewpoint. The descriptive method is certainly more suitable for the complicated stituation of actual sound insulation systems with an arbitrary distribution type random excitation. In this paper, especially by paying our attention to the effective information on the remainder fluctuation around the formally introduced linear regression, a simplified identification method for an arbitrary sound insulation system and then a simple prediction method for its output probability distribution have been proposed. More concretely, by introducing new types of linear and/or non-linear regression models between input and output fluctuations, their system parameters can be identified by use of the well-known least squares error method or its generalized error criterion. Furthermore, in an actual case with an existence of background noise, the effect and simple removal countermeasures of background noise are also discussed. The effectiveness of our identification and prediction methods is experimentally confirmed too by applying them to the actual living environment.

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三叉神経痛と群発頭痛が合併した, -tic syndrome と考えられる症例を経験した. 症例は54歳, 男性で, 右眼窩部から前・側頭部に拡がる激痛発作を訴えた. 43歳時, 50歳時にも同様の発作痛があり, 三叉神経痛として治療されていた. 今回の発作痛は, 眼窩上部にトリガーポイントがあり, 発作が電撃痛で始まるなど, 三叉神経痛の特徴も有していたが, 随伴症状として同側の鼻閉, 結膜充血, 眼瞼下垂が認められ, 群発頭痛の診断基準を満たした. 治療としては, carbamazepine の内服に星状神経節ブロックと眼窩上神経ブロックを併用し, 良好な結果が得られた. 特に眼窩上神経ブロックは, 発作の頓挫に有効であった.

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Co-

extraction is a basic approach for summarization of cooccurrence information. This paper proposes a visual assessment technique for co- structure analysis through cooccurrence-sensitive ordering, which realizes the hybrid concept of the coVAT algorithm and distance-sensitive ordering in relational data clustering. Object-item cooccurrence information is first enlarged into an (object + item) × (object + item) cooccurrence data matrix, and then, cooccurrence-sensitive ordering is performed through spectral ordering of the enlarged matrix. Additionally, this paper also consider the intuitive validation of co- structures considering crossing curves, which was adopted in validation with distance-sensitive ordering. The characteristic features of the proposed approach are demonstrated through several numerical experiments including application to social analysis of Japanese prefectural statistics.

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The quantitatively controlled organellar transfer between living single cells provides a unique experimental platform to analyze the contribution of organellar heterogeneity on cellular phenotypes. We previously developed a microfluidic device which can perform quantitatively controlled mitochondrial transfer between live single cells by promoting strictured cytoplasmic connections between live single cells, but its application to other organelles is unclear. In this study, we investigated the quantitative properties of peroxisome transfer in our microfluidic device. When cells were fused through a 10 or 4 μm long microtunnel by a Sendai virus envelope-based method, a strictured cytoplasmic connection was achieved with a length corresponding to that of the microtunnel, and a subsequent recovery culture disconnected the fused cells. The peroxisome number being transferred through a 10 μm length of the microtunnel was smaller than that of 4 μm. These data suggest that our microfuidic device can perform a quantitative control of peroxisome transfer.

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The mathematical framework concerning a class of α- matter was studied from a full microscopic point of view on the basis of generator coordinate space. It is shown that all of the microscopic kernels can be attributed to those of one-dimensional α- matter, if the image of a simple lattice is adopted as one of the models for the α- matter. In other words, the problems of α- matter were solved directly after those of an α- chain. Furthermore, the analytical formulae for most of the kernels were written using the aid of computer derivations of the matrices. Results concerning α- matter reproduce the bulk properties of ordinary nuclear matter fairly well. The volume and surface terms in Weizacker's mass formula are discussed within the framework of this model.

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This study introduces a new collision detection method obtained by modifying the grid partitioning method, which employs spatial- and cell-partitioning, into an aggregate mean free path-- aggregation （AMP-CCA） model. This modification allows the AMP-CCA model to calculate the three-dimensional aggregate morphology and particle size distributions （PSDs） with computational efficiency. As compared with the previous model, the new model successfully calculates the morphology in 15％ of the computational time. The calculated PSDs for a coalesced spherical particle aggregate, as calculated by the AMP-CCA model, are in reasonable agreement with the results of the sectional model regardless of concentration. The morphology calculated by the AMP-CCA model is in good agreement with previous experimental and numerical results. The AMP-CCA model, employing direct Monte Carlo simulation, serves as a useful tool to calculate the aggregate morphology and PSDs with reasonable accuracy.

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