Prairie-like Mull Humus, Its Physico-chemical and Microbiological Properties (A Contribution to the Classification of Forest Humus)

1951 ◽  
Vol 15 (C) ◽  
pp. 362-364
Author(s):  
R. S. Pierce
Keyword(s):  
Physico Chemical ◽  
Forest Humus ◽  
Microbiological Properties

scholarly journals Soil Heterogeneity Reflected in Biogeography of Beech Forests in the Borderland Between the Bohemian Massif and the Outer Western Carpathians

2014 ◽  
Vol 33 (4) ◽  
Author(s):  
Pavel Samec ◽  
Aleš Kučera ◽  
Klement Rejšek
Keyword(s):  
Bohemian Massif ◽  
Chemical Properties ◽  
Specific Weight ◽  
Soil Heterogeneity ◽  
Western Carpathians ◽  
Volume Weight ◽  
Physico Chemical ◽  
Outer Western Carpathians ◽  
Chemical Properties Of Soils

AbstractSoil environment characteristics naturally affect the biogeographical classification of forests in central Europe. However, even on the same localities, different systems of vegetation classification de-scribe the forest types according to the naturally dominant tree species with different accuracy. A set of 20 representative natural beech stands in the borderland between the Bohemian Massif (Hercyni-an biogeographical subprovince) and the Outer Western Carpathians (Westcarpathian subprovince) was selected in order to compare textural, hydrostatic, physico-chemical and chemical properties of soils between the included geomorphological regions, bioregions and biotopes. Differences in the soils of the surveyed beech stands were mainly due to volume weight and specific weight, maximum capillary capacity (MCC), porosity, base saturation (BS), total soil nitrogen (N

Soil Morphology, Physico - Chemical Properties and Classification of Typical Soils of Mwala District, Kenya

2015 ◽  
Vol 4 (2) ◽  
pp. 156-170 ◽  
Author(s):  
Anne Karuma ◽  
Charles Gachene ◽  
Balthazar Msanya ◽  
Peter Mtakwa ◽  
Nyambilila Amuri ◽  
...  
Keyword(s):  
Chemical Properties ◽  
Soil Morphology ◽  
Physico Chemical

Predicting Physico-Chemical Characteristics of Brain Tumour

2020 ◽  
Vol 17 (8) ◽  
pp. 3473-3477
Author(s):  
M. S. Roobini ◽  
T. V. L. Bharathi ◽  
T. Aishwaya Sailaja ◽  
M. Lakshmi ◽  
Anitha Ponraj ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Support Vector ◽  
Tumor Study ◽  
Physico Chemical ◽  
Tumor Identification ◽  
Three Stages ◽  
Features Reduction ◽  
The Brain ◽  
Mri Image

This research proposes a series of algorithms that work for improved Brain Tumor identification and classification. The Brain Tumor study based on the MRI image will effectively resolve the classification method for diagnosis of brain tumors. There are three stages: Extraction of features, Reduction of features and classification. Extraction function and reduction of functionality used for two algorithms. The extracted characteristics are Mean, Standard deviation, Curtosis, Skewness, Entropy Contrast, Variance, Smoothness, Correlation and Power. The result is then supplied to Support Vector Machine (SVM) for the Benign or Malignant classification of tumours.

Classification of Natural and Thermo-Modified Peat by Class-Modeling Techniques

2016 ◽  
Vol 683 ◽  
pp. 596-600
Author(s):  
Aleksey Zarubin ◽  
Natalia Chukhareva
Keyword(s):  
Latent Variables ◽  
Chemical Properties ◽  
Component Composition ◽  
Thermal Modification ◽  
Raw Material ◽  
Data Matrix ◽  
Prediction Errors ◽  
Physico Chemical ◽  
Modeling Techniques

Significant attention is paid to the production of peat-based materials in modern days. The study explores the influence of natural peat thermal modification on its properties by applying class-modeling techniques. Modification of different types of peat is achieved by heating at 250 °C. The set of peat properties such as component composition, g-factor and IR-spectra is used to obtain data matrix. It is shown that class-modeling techniques, such as partial least-squares discriminant analysis (PLS-DA) and simple independent modeling of class analogy (SIMCA), allow estimating peat class (natural or modified) by a set of properties without prediction errors by using three latent variables. According to the results of classification, it is established that thermal modification can be considered as a means of regulating the composition and physico-chemical properties of natural peats as a raw material

Sign in / Sign up

Export Citation Format

Share Document