1,239 research outputs found

    Allelopathic effort of penguin excrements and guanos on the growth of Antarctic soil algae

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    An experiment was carried out to ascertain the effect of substances in the soil of Adelie penguin rookery on the growth of algae isolated from the Antarctic soil. In the paper disc test, both of acetone and water extracts of guano soil gave an inhibitive effect on the algal growth. It was recognized that acrylic and oxalic acids were the algal growth inhibitors. The function of the oxalic acid as a new growth inhibitor of algae was examined by comparing it with that of acrylic acid

    Factors Influencing Home Death in a Japanese Metropolitan Region

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    To examine factors influencing home death, an anonymous survey was mailed to 998 home care supporting clinics (HCSCs) in the 23 wards of Tokyo, Japan. We classified the HCSCs into two types (single physician practice and multiple physician practice) and identified factors of each type of practice that predict home death. The factors associated with a greater probability of dying at home were as follows: in the multiple physician practices, collaboration with hospitals and teaching coping skills to the family members and, in the single physician practices, collaboration with clinics. Our findings suggest that home end-of-life care services are unlikely to be achieved without cooperation among service providers and without improvement of the family members' coping skills

    A Case of Retinitis Pigmentosa Requiring Vitrectomy because of Repeated Vitreous Hemorrhage

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    A male patient with retinitis pigmentosa (RP) accompanied by repeated vitreous hemorrhage in both eyes underwent unilateral vitrectomy. Visual acuity recovered to 0.8 in the operated right eye, and no hemorrhage, complications or progression of RP were observed. Fluorescein angiography performed 2 months after surgery detected neovascularization at the optic disc in the operated right eye, but not in the non-operated left eye, and no avascular areas were found in either eye. Vitrectomy may be effective for the treatment of RP accompanied by vitreous hemorrhage

    EVN Observations of HESS J1943+213: Evidence for an Extreme TeV BL Lac Object

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    We report on the 1.6 GHz (18 cm) VLBI observations of the unresolved, steady TeV source HESS J1943+213 located in the Galactic plane, performed with the European VLBI Network (EVN) in 2014. Our new observations with a nearly full EVN array provide the deepest image of HESS J1943+213 at the highest resolution ever achieved, enabling us to resolve the long-standing issues of the source identification. The milliarcsecond-scale structure of HESS J1943+213 has a clear asymmetric morphology, consisting of a compact core and a diffuse jet-like tail. This is broadly consistent with the previous e-EVN observations of the source performed in 2011, and re-analyzed in this work. The core component is characterized by the brightness temperature of 1.8×109\gtrsim1.8 \times 10^9 K, which is typical for low-luminosity blazars in general. Overall, radio properties of HESS J1943+213 are consistent with the source classification as an "extreme high-frequency-peaked BL Lac object". Remarkably, we note that since HESS J1943+213 does not reveal any optical or infrared signatures of the AGN activity, it would never be recognized and identified as a BL Lac object, if not its location close to the Galactic plane where the High Energy Stereoscopic System has surveyed, and the follow-up dedicated X-ray and radio studies triggered by the source detection in the TeV range. Our results suggest therefore a presence of an unrecognized, possibly very numerous population of particularly extreme HBLs, and simultaneously demonstrate that the low-frequency VLBI observations with high-angular resolution are indispensable for a proper identification of such objects.Comment: 8 pages, 3 figures, accepted to ApJ

    Prediction System of Cloud Distribution Image Using Fully Convolutional Networks

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    In this paper, we propose a cloud distribution prediction model in which fully convolutional networks are used to improve the prediction accuracy for photovoltaic power generation systems. The model learns the cloud distribution from meteorological satellite images and predicts the cloud image 60 min later. We examined the applicability of Day Microphysics RGB as input to the cloud image prediction model. Day Microphysics RGB is a type of RGB composite image based on the observation image of Himawari-8. It is used for daytime cloud analysis and can perform detailed cloud analysis, for example, the discrimination of cloud areas such as upper and lower clouds. The performance of the proposed method is evaluated on the basis of the root mean square error of the prediction and ground truth images

    Study on the Structural Behaviour of Integranl Bridge

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