Classification by EEG Frequency Distribution in Imagination of Directions

AbstractThis paper describes the method for classification of brain state by the measured electroencephalogram (EEG) frequency in directions (up, down, left, and right) imagination. Recently, Brain-Machine Interface (BMI) has been studied in a variety of ways due to the development of brain measurement technology. Therefore, we have used the BMI to identify the human selection of directions. Our method consists of data normalization, principal component analysis and neural network. The maximum value of the identification rate was 46% by using 3 electrodes (F4, F8 and T8) in the previous study. In this study, we improved the learning method of neural network for the improvement of identification rate of brain state. For that purpose, the measurement points of EEG and the number of subjects are increased. As a result, the maximum value of the identification rate was improved

(61)Ni synchrotron radiation-based Mössbauer spectroscopy of nickel-based nanoparticles with hexagonal structure.

ニッケルナノ粒子の放射光メスバウアー吸収分光測定に成功 --先端ナノ材料の機能発現メカニズムの解明に期待--. 京都大学プレスリリース. 2016-02-18.We measured the synchrotron-radiation (SR)-based Mössbauer spectra of Ni-based nanoparticles with a hexagonal structure that were synthesised by chemical reduction. To obtain Mössbauer spectra of the nanoparticles without (61)Ni enrichment, we developed a measurement system for (61)Ni SR-based Mössbauer absorption spectroscopy without X-ray windows between the (61)Ni84V16 standard energy alloy and detector. The counting rate of the (61)Ni nuclear resonant scattering in the system was enhanced by the detection of internal conversion electrons and the close proximity between the energy standard and the detector. The spectrum measured at 4 K revealed the internal magnetic field of the nanoparticles was 3.4 ± 0.9 T, corresponding to a Ni atomic magnetic moment of 0.3 Bohr magneton. This differs from the value of Ni3C and the theoretically predicted value of hexagonal-close-packed (hcp)-Ni and suggested the nanoparticle possessed intermediate carbon content between hcp-Ni and Ni3C of approximately 10 atomic % of Ni. The improved (61)Ni Mössbauer absorption measurement system is also applicable to various Ni materials without (61)Ni enrichment, such as Ni hydride nanoparticles

Macroporous Gel with a Permeable Reaction Platform for Catalytic Flow Synthesis

We mimic a living system wherein target molecules permeate through capillary and cells for chemical transformation. A monolithic porous gel (MPG) was easily prepared by copolymerization of gel matrix, tertiary amine, and cross-linking monomer in one-step synthesis. Interconnected capillaries existed in the MPG, enabling flow application with high permeability. Because the capillaries were constituted of polymer gel, Pd(0)-loaded MPG provided another permeable pathway to substrates in a gel network, contributing to its much high turnover number after 30 days of use, compared with that of Pd(0)-loaded inorganic supports. Interestingly, the gel network size of the MPG influenced the catalytic frequency. Diffusivities of the substrates and product in the gel networks increased with increasing network sizes in relation to catalytic activities. The MPG strategy provides a universal reactor design in conjunction with a practical process and precisely controlled reaction platform