Research Institute of Applied Science

Tehrān, Iran

Research Institute of Applied Science

Tehrān, Iran

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Hajimahmoodi M.,Tehran University of Medical Sciences | Mohammadi N.,Tehran University of Medical Sciences | Soltani N.,Research Institute of Applied Science | Oveisi M.R.,Tehran University of Medical Sciences | Nafissi-Varcheh N.,Tehran University of Medical Sciences
Journal of Applied Phycology | Year: 2010

Antioxidant activities of both cells and extracellular substances were evaluated in 12 soil-isolated strains of microalgae according to FRAP and DPPH-HPLC assays. Their total phenolic contents were also determined by Folin-Ciocalteu method. Extractions were performed with hexane, ethyl acetate, and water. The results of FRAP assay showed that algal cells contained considerable amounts of antioxidants from 0.56 ± 0.06 to 31.06 ± 4.00 μmol Trolox g-1 for Microchaete tenera hexane extract and Chlorella vulgaris water extract, respectively. In water fractions of extracellular substances, the antioxidants were from 1.30 ± 0.15 μmol Trolox g-1 for Fischerella musicola to 73.20 ± 0.16 μmol Trolox g-1 for Fischerella ambigua. Also, DPPH-HPLC assay represented high antioxidant potential of water fractions. The measured radical-scavenging activities of the studied microalgae were at least 0.15 ± 0.02 in Nostoc ellipsosporum cell mass to a maximum of 109.02 ± 8.25 in C. vulgaris extracellular substance. The amount of total phenolic contents varied in different strains of microalgae and ranged from zero in hexane extract to 19.15 ± 0.04 mg GAE g-1 in C. vulgaris extracellular water fraction. Significant correlation coefficients between two measured parameters indicated that phenolic compounds were a major contributor to the microalgal antioxidant capacities. © Springer Science+Business Media B.V. 2009.


Rohi H.,Shahid Beheshti University | Soorki A.A.,Research Institute of Applied science
Synthetic Communications | Year: 2014

A combinatorial synthesis and evaluation of antibacterial activity against clinically isolated resistant strains of Gram-positive and Gram-negative bacteria of 3′-(phenylamino)-1′H-spiro[indoline-3,2′- quinazoline]-2,4′(3′H)-dione derivatives is described. © 2014 Taylor and Francis Group.


ALI D.,University of Tehran | EBRAHIM S.,University of Tehran | EBRAHIM S.,Research Institute of Applied science
Petroleum Exploration and Development | Year: 2016

The porosity and permeability distribution in four layers of the Cretaceous Ilam Formation was simulated using optimized artificial intelligent algorithms based on conventional logging data of 50 wells in Mansuri oil field in Iran. First, the neutron porosity, interval transit time and density wireline logs in five key wells with core data were used as input parameters to calculate porosity and permeability of the reservoirs using backpropagation artificial neural network (BP neural network) and Support Vector Regression methods, and based on the correlation between the calculated results and the core tested results, BP neural network method was taken to do the physical property calculation. Then, the porosity and permeability distribution of the four layers were modeled using kriging geostatistical algorithms. The results show that Layers 2.1 and 2.2 are high in porosity, Layers 1, 2.1 and 2.2 are high in permeability, while Layer 3 is not reservoir; and the porosity and permeability are higher in the north and lower in the south on the whole. © 2016 Research Institute of Petroleum Exploration & Development, PetroChina


Shegeftfard M.,Research Institute of Applied science | Zamanzadeh S.,University of Tehran
Energy Exploration and Exploitation | Year: 2012

One particular practical problem in oil recovery is to predict the time to breakthrough of an injected fluid in one well and the subsequent decay in the production rate of oil in another. Because we only have a stochastic view of the distribution of rock properties, we need to predict the uncertainty in the breakthrough time and post-breakthrough behavior in order to calculate the economic risk. In this paper, we apply scaling laws from percolation theory to predict the distribution of breakthrough times that can be calculated algebraically rather than directly via very time-consuming numerical simulation of large number of realizations. The main contribution is to show that percolation theory, when applied to a realistic model, can be used to obtain the same results as calculated in a more conventional way but significantly more quickly. Specially, when the parameters of scaling law optimized, we found that a previously proposed scaling form for the breakthrough time distribution when applied to a real oil field is in good agreement with more time consuming simulation results. Consequently, these methods can be used in practical engineering circumstances to aid decision making for real field problems.


Shegeftfard M.,Research Institute of Applied science | Zamanzadeh S.,University of Tehran
Energy Exploration and Exploitation | Year: 2011

The percolation method has been recently considered in evaluation and prediction of reservoir parameters. This theory has been applied in estimating the connectivity of the reservoir in conventional and fractured reservoirs. Application of this method for predicting the breakthrough time was compared with the field simulation results and this comparison lead to obtaining the results quickly made by estimating the above-mentioned parameters in the reservoirs. In this paper, by using the percolation theory, new parameters generated for breakthrough time prediction via modification and optimization. These new parameters were tested in some oil reservoirs and eventually optimized parameters in scaling law were identified and presented in one of the tested fields.


Ali D.,University of Tehran | Ebrahim S.,Research Institute of Applied science
Shiyou Kantan Yu Kaifa/Petroleum Exploration and Development | Year: 2016

The porosity and permeability distribution in four layers of the Cretaceous Ilam Formation was simulated using optimized artificial intelligent algorithms based on conventional logging data of 50 wells in Mansuri oil field in Iran. First, the neutron porosity, interval transit time and density wireline logs in five key wells with core data were used as input parameters to calculate porosity and permeability of the reservoirs using backpropagation artificial neural network (BP neural network) and Support Vector Regression methods, and based on the correlation between the calculated results and the core tested results, BP neural network method was taken to do the physical property calculation. Then, the porosity and permeability distribution of the four layers were modeled using kriging geostatistical algorithms. The results show that Layers 2.1 and 2.2 are high in porosity, Layers 1, 2.1 and 2.2 are high in permeability, while Layer 3 is not reservoir; and the porosity and permeability are higher in the north and lower in the south on the whole. © 2016, Science Press. All right reserved.


Osamura K.,Research Institute of Applied Science | MacHiya S.,Daido University | Tsuchiya Y.,Japan National Institute of Materials Science | Suzuki H.,Japan Atomic Energy Agency
IEEE Transactions on Applied Superconductivity | Year: 2010

The mechanical properties of surround Cu stabilized YBCO coated conductor were assessed at 5.7, 77 and 298 K. The internal strain exerted on the superconducting YBCO layer was directly evaluated under tensile load at low temperatures down to 9.8 K by neutron diffraction techniques. The compressive internal strain, present in the YBCO layer without external load, is the thermally induced residual strain. When the external tensile load was applied, the compressive component of internal strain decreased and changed into tensile. The force-free strain, Aff , was determined as the strain at which the internal strain becomes zero. The Aff estimated from (200) diffraction data depended weakly on temperatures between 298 and 9.8 K. However, the Aff estimated from (020) data decreased prominently with decreasing temperature. © 2006 IEEE.


Osamura K.,Research Institute of Applied Science | MacHiya S.,Daido University | Tsuchiya Y.,Japan National Institute of Materials Science | Suzuki H.,Japan Atomic Energy Agency
Superconductor Science and Technology | Year: 2010

The stress/strain behavior of the surround Cu stabilized YBCO coated conductors and its influence on critical current were precisely investigated. The internal strain exerted on the superconducting YBCO layer was determined at 77K by using a neutron diffraction technique at JAEA. The initial compressive strain decreased during tensile loading and changed to a tensile component at the force free strain (Aff), where the internal uniaxial stress becomes zero in the YBCO layer. The Aff was evaluated to be 0.19-0.21% at 77K. The critical current measurements were carried out under a uniaxial tensile load at 77K. The strain dependence revealed a characteristic behavior, where a maximum was observed at 0.035%. Thus it was made clear that the strain at the critical current maximum does not correlate with A ff for YBCO coated conductors. © 2010 IOP Publishing Ltd.


Safiarian M.S.,Tehran University of Medical Sciences | Faramarzi M.A.,Tehran University of Medical Sciences | Amini M.,Tehran University of Medical Sciences | Soltani N.,Research Institute of Applied Science | And 2 more authors.
Journal of Applied Phycology | Year: 2012

A large number of microorganisms including various microalgal strains are able to convert steroid compounds into useful metabolites. In the present study, the ability of Microchaete tenera, a rice paddy field-isolated microalga, was investigated for biotransformation of progesterone. The incubation was carried out at 25°C under continuous illumination in the present of 0. 25 g L -1 of progesterone. After 5 days incubation of the microalga in BG-11 liquid medium, the broth was extracted and the products were purified by the aid of chromatographic methods. Structure elucidation of the metabolites was performed by spectral data ( 13C NMR, 1H NMR, FTIR, and MS) and physical constants (melting points and optical rotations). Eventually, four major steroids including 20β-hydroxypregn-4-en-3-one, 20α-hydroxypregn-4-en-3-one, 6β-hydroxypregn-4-en-3,20-dione and 6α-hydroxypregn-4-en-3,20-dione were the results of this biotransformation. The study also showed that the best concentration of starting material, temperature, photoregime, and the influence of CO 2 partial pressure on the production of bioconverted metabolites were 0. 25 g L -1, 25°C, continuous light and 2. 0 ± 0. 1% (v/v), respectively. Highest concentrations of all biotransformed metabolites were obtained in the 5th day. © 2011 Springer Science+Business Media B.V.


Naruse H.,Kyoto University | Yamamoto O.,Research Institute of Applied science
2015 3rd International Conference on Electric Power Equipment - Switching Technology, ICEPE-ST 2015 | Year: 2015

A secondary electron emission avalanche occurring on a surface of an insulator of a bridged gap, along with the resultant charging phenomena of the surface, plays a decisive role in the progress of the flashover in a vacuum. This paper reports a method developed to derive a constant that is necessary for calculating the distribution of charge accumulated on the surface due to the secondary electron emission avalanche based on a calculation and a measurement. © 2015 IEEE.

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