• Open Access Research Article
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    Trends Journal of Sciences Research 2014, 1(1), 1-11. 10.31586/Agrochemistry.0101.01
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    Abstract
    We present the results of a comprehensive long-term experiment on intensive cultivation of wheat and tomato plants to initially abiogenous mineral substrate. The experiment simulates the primary processes of soil formation. For the first time is established dynamic synergistic and antagonistic interrelations between the chemical elements (Si, Al, Fe, Mg,
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    We present the results of a comprehensive long-term experiment on intensive cultivation of wheat and tomato plants to initially abiogenous mineral substrate. The experiment simulates the primary processes of soil formation. For the first time is established dynamic synergistic and antagonistic interrelations between the chemical elements (Si, Al, Fe, Mg, Ca, K, P, S, Cl, Na, Mn, Zn) in various plant tissues (roots, fruits, grain, stems, leaves) under condition of primary soil formation. We have identified the dynamics of accumulation and differentiation of collective state of the chemical elements in different plant tissues by the methods of information theory.Full article
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  • Open Access Research Article
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    Trends Journal of Sciences Research 2014, 1(1), 38-48. 10.31586/Biochemistry.0101.06
    178 Views  535 Downloads  1 Citations 
    Abstract
    The biological activity of chemical compounds is analyzed using electronic and information factors. We found a linear interrelation between the electronic and information factors of molecules. Moreover, these molecular factors are calculated from different principles. Electronic factor is determined by the quantum-mechanical method from the molecular pseudopotential, whereas the information
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    The biological activity of chemical compounds is analyzed using electronic and information factors. We found a linear interrelation between the electronic and information factors of molecules. Moreover, these molecular factors are calculated from different principles. Electronic factor is determined by the quantum-mechanical method from the molecular pseudopotential, whereas the information factor is determined by using the information function. It is shown that these factors are separated off statistically significant bioactive chemical compounds of inactive chemicals. To determine these factors is sufficient to know only the chemical formula of molecules. We analyzed the chemical compounds for toxicity, antiradiation activity, carcinogenicity, antifungal activities. To identify biologically active chemical compounds we used the statistical conjugation method of qualitative attributes.Full article
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  • Open Access Research Article
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    Trends Journal of Sciences Research 2014, 1(1), 17-25. 10.31586/Agrophysical.0101.03
    52 Views  205 Downloads  1 Citations 
    Abstract
    We result statistical analysis of experimental data on physical modeling of primary soil formation under long and continuous cultivation of plants on initially abiogenous mineral substrates (granite crushed stone, zeolite). The purpose of the experiment was to follow the dynamics of the evolutionary changes in the mineral substrate under condition
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    We result statistical analysis of experimental data on physical modeling of primary soil formation under long and continuous cultivation of plants on initially abiogenous mineral substrates (granite crushed stone, zeolite). The purpose of the experiment was to follow the dynamics of the evolutionary changes in the mineral substrate under condition long-term operation. We used the information approach to quantitative analyze of the relationship of primary soil formation process with the vital activity of plants (tomato, spring wheat) under controlled conditions. We analyzed the dynamics of the diversity of emerging organic matter in the mineral substrate and the biotic community. To quantify the diversity of multicomponent systems, we used information function. We have shown that the dynamics of plant productivity was statistically significant related to the parameter of information exchange between emerging organic matter and biotic community. It has been established that the increase in the total content of organic matter in the mineral substrate does not have a statistically significant correlation with the productivity of plants.Full article
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    Trends Journal of Sciences Research 2014, 1(1), 28-37. 10.31586/Agrophysical.0101.05
    305 Views  623 Downloads  1 Citations 
    Abstract
    We analyze the experimental data on the dynamics of water and mineral metabolism of tomato plants by using the methods of spectral analysis. Plants were cultivated under controlled conditions. We have used the various compositions of juvenile analogues of thin-layer soil. It is shown that the composition of the soil
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    We analyze the experimental data on the dynamics of water and mineral metabolism of tomato plants by using the methods of spectral analysis. Plants were cultivated under controlled conditions. We have used the various compositions of juvenile analogues of thin-layer soil. It is shown that the composition of the soil analogue significantly affects the dynamics of water-mineral metabolism of plants and plant productivity. It was found that the dynamics of the water and mineral metabolism of plants has a clear oscillatory structure. We have identified the most intense frequencies of this process. It was found that in order to maximize the productivity of plants it is necessary that the process of transpiration should contain simultaneously both high-frequency and low-frequency periodicities. This creates the most favorable environment for the development and functioning of the plant root system. It was shown that vibrations of water metabolism closely connected with the vibrations of the content of chemical elements in plants.Full article
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  • Open Access Mini Review
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    Trends Journal of Sciences Research 2014, 1(1), 26-27. 10.31586/Radiotherapy.0101.04
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    Abstract
    Dose calculations based on Monte Carlo (MC) often require sophisticated treatment planning stations with long processing time, and this could be issue for many cancer centers. Hence, most of the commercial treatment planning system include faster dose calculation engines for the daily clinical routine. Due to advancement in technology and
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    Dose calculations based on Monte Carlo (MC) often require sophisticated treatment planning stations with long processing time, and this could be issue for many cancer centers. Hence, most of the commercial treatment planning system include faster dose calculation engines for the daily clinical routine. Due to advancement in technology and computing power, it is now possible to implement MC based dose calculation algorithms in the clinical environment. This report summarizes the major findings of various researchers who have investigated Acuros XB algorithm, which is the MC based dose calculation algorithm commercially available for dose calculations in radiotherapy.Full article