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Wyszukujesz frazę "Ghaemi, M.R." wg kryterium: Autor

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    Wyświetlanie 1-3 z 3
    Tytuł:
    Determining the structural amino acid attributes which are important in both protein thermostability and alkalophilicity: a case study on xylanase
    Autorzy:
    Delavari, A.
    Zare, S.
    Ghaemi, M.R.
    Kashfi, R.
    Ebrahimi, M.
    Tahmasebi, A.
    Ebrahimie, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/80216.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    amino acid
    xylanase
    hemicellulose
    thermostability
    linear regression
    bioinformatics
    Źródło:
    BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology; 2014, 95, 2
    0860-7796
    Pojawia się w:
    BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Using satellite data for soil cation exchange capacity studies
    Autorzy:
    Ghaemi, M.
    Astaraei, A.R.
    Sanaeinejad, S.H.
    Zare, H.
    Powiązania:
    https://bibliotekanauki.pl/articles/24146.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Opis:
    This study was planned to examine the use of LandSat ETM+ images to develop a model for monitoring spatial variability of soil cation exchange capacity in a semi-arid area of Neyshaboor. 300 field data were collected from specific GPS registered points, 277 of which were error free, to be analysed in the soil laboratory.The statistical analysis showed that therewas a small R-Squared value, 0.17, when we used the whole data set. Visual interpretation of the graphs showed a trend among some of the data in the data set. Forty points were filtered based on the trends, and the statistical analysis was repeated for those data. It was discovered that the 40 series were more or less in the same environmental conditions; most of them were located in disturbed soils or abandoned lands with sparse vegetation cover. The soil was classified into high and medium salinity, with variable carbon (1.0 to 1.6%), heavy textured and with high silt and clay. Finally it was concluded that two different models could be fitted in the data based on their spatial dependency. The current models are able to explain spatial variability in almost 45 to 65% of the cases.
    Źródło:
    International Agrophysics; 2013, 27, 4
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Spatio-temporal soil quality assessment under crop rotation irrigated with treated urban wastewater using fuzzy modelling
    Autorzy:
    Ghaemi, M.
    Astaraei, A.R.
    Mahalati, M.N.
    Emami, H.
    Sanaeinejad, H.H.
    Powiązania:
    https://bibliotekanauki.pl/articles/24657.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Tematy:
    spatio-temporal property
    soil quality
    assessment
    crop rotation
    irrigation
    urban waste water
    fuzzy model
    fuzzy function
    treated waste water
    Opis:
    Quantifying soil quality is important for asses- sing soil management practices effects on spatial and temporal variability of soil quality at the field scale. We studied the pos- sibility of defining a simple and practical fuzzy soil quality index based on biological, chemical and physical indicators for assessing quality variations of soil irrigated with well water and treated urban wastewater during two experimental years. In this study 6 proper- ties considered as minimum data set were selected out of 18 soil properties as total data set using the principal component analysis. Treated urban wastewater use had greater impact on biological and chemical quality. The results showed that the studied minimum data set could be a suitable representative of total data set. Significant correlation between the fuzzy soil quality index and crop yield (R 2 = 0.72) indicated the index had high biological significance for studied area. Fuzzy soil quality index approach (R 2 = 0.99) could be effectively utilized as a tool leading to better understanding soil quality changes. This is a first trial of creation of a universal index of soil quality undertaken.
    Źródło:
    International Agrophysics; 2014, 28, 3
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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