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    Wyświetlanie 1-4 z 4
    Tytuł:
    Development of environmental purification materials with smart functions
    Autorzy:
    Yamada, H.
    Watanabe, Y.
    Tamura, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/146231.pdf
    Data publikacji:
    2006
    Wydawca:
    Instytut Chemii i Techniki Jądrowej
    Tematy:
    apatite
    environmental purification
    layered double hydroxide
    nanocomposite
    nuclear waste
    zeolite-LTA
    Opis:
    For an environmental-friendly sustainable society, the global environmental problems should be solved. Here we outline our recent results of environment purification materials with smart functions. For the effective adsorbent for remediation process, zeolite coated with layered double hydroxide (LDH) was prepared by the precipitation of LDH on zeolite-LTA under hydrothermal treatment. This multifunctional material has a possible application for simultaneous uptake of harmful cations and anions, and minimizes environmental pollution during municipal and industrial water management. For novel material for the nuclear waste management, zeolite with hydroxyapatite layers on its surface was obtained by a hydrothermal method on the basis of the cation exchange of Ca2+ in zeolite for NH4+ in solution. The novel nanocomposite is an ideal material for adsorbing and fixing radioactive elements for geological time-scale.
    Źródło:
    Nukleonika; 2006, 51,suppl.1; 61-67
    0029-5922
    1508-5791
    Pojawia się w:
    Nukleonika
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Spatial variability of uncultivated soils in derived savanna
    Autorzy:
    Obalum, S.E.
    Oppong, J.
    Igwe, C.A.
    Watanabe, Y.
    Obi, M.E.
    Powiązania:
    https://bibliotekanauki.pl/articles/25426.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Opis:
    The spatial variability of some physicochemical properties of topsoils/subsoils under secondary forest, grassland fallow, and bare-soil fallow of three locations was evaluated. The data were analyzed and described using classical statistical parameters. Based on the coefficient of variation, bulk density, total porosity, 60-cm-tension moisture content, and soil pH were of low variability. Coarse and fine sand were of moderate variability. Highly variable soil properties included silt, clay, macroporosity, saturated hydraulic conductivity, organic matter concentration, and cation exchange capacity. Overall, soil pH and silt varied the least and the most, respectively. Relative weighting showed that location dominantly influenced the soil variability, except for soil porosity and organic matter concentration influenced mostly by land use. Most of the soil data were normally distributed; others were positively skewed and/or kurtotic. The minimum number of samples (at 25 samples ha-1) required to estimate mean values of soil properties was highly soil property-specific, ranging from 1 (topsoil pH-H2O) to 246 (topsoil silt). Cation exchange capacity of subsoils related fairly strongly with cation exchange capacity of topsoils (R2 = 0.63). Spatial variability data can be used to extrapolate dynamic soil properties across a derived-savanna landscape.
    Źródło:
    International Agrophysics; 2013, 27, 1
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Puddling intensity for late-season sawah systems based on soil hydrophysical conditions and rice performance
    Autorzy:
    Obalum, S.E.
    Watanabe, Y.
    Igwe, C.A.
    Obi, M.E.
    Wakatsuki, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/26457.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Tematy:
    puddling intensity
    late-season sawah system
    soil condition
    hydrophysical condition
    rice
    grain yield
    Oryza sativa
    performance
    Opis:
    Lowland sawah farmers often puddle to improve soil hydrophysical conditions for rice, but the puddling intensity beyond which no extra yield increases occur is unknown. Agro- nomic effects of six mechanical puddling intensities were assessed in three Nigerian inland-valley bottoms. All puddled plots, irrespec- tive of intensity, produced similar effects at all three locations. At 10 days after transplanting, soil bulk density of all puddled plots re- presented mean decreases relative to control plots of about 22.4, 15.8, and 31.7% at Akaeze, Adani, and Ejeti, respectively. Soil bulk density and moisture content upon saturation were similar during 40-120 days after transplanting. All puddled plots consistently showed taller plants and greater tillering than control plots only at Ejeti. Grain yields were similar among treatments in Akaeze and Adani (mean, 3.71 and 6.42 Mg ha -1 , respectively), but one-pass puddling yielded numerically highest in both locations. At Ejeti, grain yields followed the trend for plant growth, with mean values of 4.36 and 1.81 Mg ha -1 for puddled and control plots, respecti- vely. One-pass puddling may be sufficient for sawah rice grown late particularly in less humid environments.
    Źródło:
    International Agrophysics; 2014, 28, 3
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An analysis of a multidimensional dataset of an epidemic study using soft computing tools - a pilot study
    Autorzy:
    Handri, S.
    Nomura, S.
    Irfan, A. C.M.
    Fukuda, S.
    Yamano, E.
    Watanabe, Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/333077.pdf
    Data publikacji:
    2009
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    epidemiologia
    analiza regresji logistycznej
    epidemiology
    logistic regression analysis
    feature set selection
    K-NN analysis
    Opis:
    Two contrasting approaches toward an epidemic study were illustrated as a pilot study; the regression analysis which is rather conventional methodology used in the past/present epidemic studies, and the other is the classifier analysis which is in the soft computing toolbox. The dataset we used for this study is obtained from a part of a cohort study which principally focused on a fatigue syndrome of the elementary and junior high school educates. In the classifier analysis we employed a major supervised machine-learning algorithm, K-Nearest Neighbour (K-NN), coupled with Principal Component Analysis (PCA). As a result, the performance that was found by cross validation method in the classifier analysis provides better results than that of the regression analysis. Finally we discussed the availability of both analyses with referring the technical and conceptual limitation of both approaches.
    Źródło:
    Journal of Medical Informatics & Technologies; 2009, 13; 107-110
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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