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        PLASMA ALLANTOIN CONCENTRATION IN RESPONSE TO CHANGES IN NUTRITIONAL STATUS OF CALVES

        Kagiyama, K.,Funaba, M.,Iriki, T.,Abe, M. Asian Australasian Association of Animal Productio 1996 Animal Bioscience Vol.9 No.2

        Two experiments were conducted to search factor(s) affecting the plasma allantoin concentration in infant calves. In experiment 1, five male Holstein calves aged 1 week were given only milk replacer free from nucleic acids for 28 days Plasma allantoin concentration varied in a reverse proportion to daily amounts of milk replacer, and the concentration when calves received 750 g/d of milk replacer was significantly lower than that when they received 250 g/d. Contrary to plasma allantoin concentration, glomerular filtration rate(GFR) was directly proportional to daily amounts of milk replacer, leading to a constant filtration of allantoin across the glomeruli. Renal handling of allantion was also unaffected by the amount of milk replacer, resulting in the constant urinary excretion of allantoin. These results suggested that GFR, which was affected by the nutritional status, could affect plasma allantoin concentration. In experiment 2, the effect of age-related changes in nutritional status after weaning on GFR was examined in eight calves weaned at 5 weeks of age. The GFR expressed as body weight basis was lower immediately after weaning, but linearly increased up to the 19th week post-weaning. The present results suggested that the changes in GFR in response to nutritional status would be one of the possible causes of atypical plasma allantoin concentration immediately after weaning. We conclude that plasma allantoin concentration would not be a proper estimator of intestinal flow of microbial protein in cattle.

      • Design of Human-Machine System for estimating pattern of white cane walking

        Akitoshi Honda,Takayuki Shiose,Yasuhiro Kagiyama,Hiroshi Kawakami,Osamu Katai 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8

        Mobility training uses a white cane for the blind or the visually impaired. Such training, which enhances their own walking ability, is different from an approach that enables them to walk with mechanical equipment. During training, one trainee has one particular trainer, and they work together. After the training, however, trainee anxiousness tends to increase, so some trainees can’t walk on path sorroutes on which they previously walked. Since trainee/trainer interaction can offer psychological care, trainers must maintain contact with trainees and providea dvice. In this study, a new support system is proposed that helps trainers estimate their trainee walking patterns so that they can offer advice without meeting in person when trainees get worried and lose confidence. The system has the following two characteristics: wireless compactac celeration censers togather white cane walking data and apattern recognition technique whose study data are labeled by trainer so that the system cane valuate the trainer judgments and experiences. A subject experiment evaluated the system’s effectiveness with subject pairs comprised of actual trainers and trainees from the Kyoto Lighthouse.

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        Nonlinear Inversion Using Very Fast Simulated Annealing for Horizontal Electric Dipole Time-Domain Electromagnetic Data

        Wahyu Srigutomo,Cahyo Aji Hapsoro,Acep Purqon,Warsa,Doddy Sutarno,Tsuneomi Kagiyama 한국전자파학회 2021 Journal of Electromagnetic Engineering and Science Vol.21 No.5

        A nonlinear stochastic inversion scheme, called very fast simulated annealing (VFSA), was applied to the time-domain electromagnetic data generated from a horizontal electric dipole. The forward formulation of the vertical magnetic field was expressed in the Laplace domain by applying the Hankel integral transform. Time-domain transformation was performed by applying the inverse Laplace transform using the Gaver–Stehfest algorithm. In this study, for noise-free synthetic data, the VFSA scheme yielded the smallest misfit and an inverted resistivity model that resembled the test model. The addition of 5% random noise to the synthetic data produced the same level of misfit and a model that still mimicked the test model. However, the addition of 10% noise to the synthetic data resulted in a misfit value that was three times that of the first two values and a resistivity model with a large discrepancy with the test model, particularly at large depths. These results indicate the efficacy of the VFSA inversion scheme for inferring the subsurface resistivity structure from the electromagnetic data. This inversion scheme was applied to field data measured in a volcanic environment. The general pattern of the resistivity structure inferred by the VFSA inversion is consistent with the structure obtained previously by using a deterministic inversion scheme.

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