Masatoshi Kimura

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To date, few studies have examined uric acid in saliva or dental calculus. The purpose of this study is to examine the uric acid concentration in saliva and serum. Saliva and blood samples were collected from 244 participants. We divided them into four groups: untreated or treated group in normal or abnormal serum uric acid concentration groups. Within the(More)
Hachi-mi-jio-gan extract (Harncare; HE), a galenical produced from the traditional Chinese herbal mixture Ba-Wei-Die-Huang-Wan, has been reported to improve lower urinary tract symptoms (LUTS) in patients. The present study was undertaken to clarify the pharmacological effects of HE on smooth muscle contraction and on pharmacologically relevant (muscarinic,(More)
This paper aims to describe a framework implementing Multi-Class Support Vector Machine (MCSVM)-based motion intention recognition. To this end, we primarily constructed a wearable exoskeleton robot of lower body (TTI-Exo) which is employed as the experimentation platform to test the proposed method of motion intention recognition based on MCSVM and the(More)
This paper is aimed at describing a framework to implement Multi-Class Support Vector Machine (MCSVM)-based motion intention recognition. To this end, we primarily constructed a wearable exoskeleton robot of lower body which is employed as an experimentation platform to test the MCSVM-based motion intention recognition. Having disclosed prototype(More)
The characteristics of leakage current observed in the pixels of pinned photodiode CMOS image sensor with negative transfer-gate bias operation are investigated, taking metal contamination into account. Simulation results show that interface states between insulator and the pinned layer in the vicinity of transfer gate, acting as hole traps, are responsible(More)
Air breakdown between a very small stylus and a dielectric layer, as is often used in electrostatic recording, has been studied both theoretically and experimentally. In the experiments, styli of 60-pm diameter were placed aginst the dielectric layer of various thicknesses with an air gap of 1-60 pm. Breakdown time lag and breakdown voltage was thereby(More)
We propose a Convolutional Neural Network (CNN)-based method to ensure both robustness to variations in facial pose and real-time processing. Although the robustness of CNNs has attracted attention in various fields, the training process suffers from difficulties in parameter setting and the manner in which training samples are provided. We demonstrate a(More)
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