2017 ◽  
Vol 10 (1) ◽  
pp. 29-36
Author(s):  
Yuan Shi-bao ◽  
Jiang Hai-yan ◽  
Wang Boyi ◽  
Li Qing-qing

Background: In-situ combustion is a complex process with multi-factors, like geology, development and engineering. All of the factors can affect the ultimate effect of in-situ combustion. Objective: Strengthen the research of candidate reservoir screening method and mode for fire flooding. Method: On the basis of summarizing formers' single factor screening conditions, and according to the strength degree of the influence factors on geology and development. The candidate reservoirs are divided into three types for screening, first, second and not suitable. Then the in-situ combustion process is taken as a grey system on the analysis of the influence factors. The fire flooding evaluation model is established using the method of correlation analysis that selects the main factors. Results: Block selection mode of fire flooding is established and using an example to calculate and evaluate the applicability. Conclusion: This fire flooding reservoir screening model breaks through the traditional single index screening model, and selects out suitable reservoirs for fire flooding, which improved the test success rate. The J function is convenient to calculate the fire flooding effect, and accurately guide the in-situ combustion experimental blocks screening and in-situ combustion project evaluation.


2008 ◽  
pp. 309-309
Author(s):  
Shashi Shekhar ◽  
Hui Xiong

Biologija ◽  
2017 ◽  
Vol 62 (4) ◽  
Author(s):  
Elena Servienė ◽  
Juliana Lukša ◽  
Iglė Vepštaitė-Monstavičė ◽  
Jaunius Urbonavičius

Numerous yeasts produce toxic compounds to fight the competitors. Such compounds include small molecules (like antibiotics), antibiotic peptides, and also larger proteins, including killer toxins. Their ability to affect the cell depends on the host factors modulating the killing activity. Here we describe a  robotics-based method to advance the  genome-wide screening for the  host factors affecting sensitivity of budding yeast to the killer toxins using the K2 system as the model. We demonstrate that arraying the mutant library on the agar plates containing the K2 killer toxinproducing strain and/or purified toxin (“survival” assay) increases the sensitivity and speed of the screen and decreases the  costs compared to the  traditional “killer” assay. We show the applicability of a new screening method of searching for the  host factors using a  killer strain isolated from agricultural plant environment. In addition, the “survival” assay allows identification of previously undetected factors that could be the “missing links” in the pathways of toxininduced cellular responses.


Author(s):  
David B. Warheit ◽  
Lena Achinko ◽  
Mark A. Hartsky

There is a great need for the development of a rapid and reliable bioassay to evaluate the pulmonary toxicity of inhaled particles. A number of methods have been proposed, including lung clearance studies, bronchoalveolar lavage analysis, and in vitro cytotoxicity tests. These methods are often limited in scope inasmuch as they measure only one dimension of the pulmonary response to inhaled, instilled or incubated dusts. Accordingly, a comprehensive approach to lung toxicity studies has been developed.To validate the method, rats were exposed for 6 hours or 3 days to various concentrations of either aerosolized alpha quartz silica (Si) or carbonyl iron (CI) particles. Cells and fluids from groups of sham and dust-exposed animals were recovered by bronchoalveolar lavage (BAL). Alkaline phosphatase, LDH and protein values were measured in BAL fluids at several time points postexposure. Cells were counted and evaluated for viability, as well as differential and cytochemical analysis. In addition, pulmonary macrophages (PM) were cultured and studied for morphology, chemotaxis, and phagocytosis by scanning electron microscopy.


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