35 research outputs found

    Reliability of the automatic procedures for locating earthquakes in southwestern Alps and northern Apennines (Italy)

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    International audienceReliable automatic procedure for locating earthquake in quasi-real time is strongly needed for seismic warning system, earthquake preparedness, and producing shaking maps. The reliability of an automatic location algorithm is influenced by several factors such as errors in picking seismic phases, network geometry, and velocity model uncertainties. The main purpose of this work is to investigate the performances of different automatic procedures to choose the most suitable one to be applied for the quasi-real-time earthquake locations in northwestern Italy. The reliability of two automatic-picking algorithms (one based on the Characteristic Function (CF) analysis, CF picker, and the other one based on the Akaike's information criterion (AIC), AIC picker) and two location methods (“Hypoellipse” and “NonLinLoc” codes) is analysed by comparing the automatically determined hypocentral coordinates with reference ones. Reference locations are computed by the “Hypoellipse” code considering manually revised data and tested using quarry blasts. The comparison is made on a dataset composed by 575 seismic events for the period 2000–2007 as recorded by the Regional Seismic network of Northwestern Italy. For P phases, similar results, in terms of both amount of detected picks and magnitude of travel time differences with respect to manual picks, are obtained applying the AIC and the CF picker; on the contrary, for S phases, the AIC picker seems to provide a significant greater number of readings than the CF picker. Furthermore, the “NonLinLoc” software (applied to a 3D velocity model) is proved to be more reliable than the “Hypoellipse” code (applied to layered 1D velocity models), leading to more reliable automatic locations also when outliers (wrong picks) are present

    Mitozolomide activity on human cancer cells "in vitro".

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    The growth inhibitory effects, the reduction of [3H]-TdR incorporation and the perturbation of the cell cycle induced by the new agent mitozolomide on the M14 human melanoma cell line and on the SW626 human ovarian cancer cell line were compared to those produced by BCNU. Flow cytometry showed an interesting difference: at the high concentration mitozolomide induced an accumulation of cells in S middle and S late-G2-M phase of the cell cycle whereas BCNU caused only a block in S late-G2-M. Further studies were aimed at investigating the susceptibility of freshly isolated human ovarian cancer cells to pharmacologically reasonable mitozolomide concentrations. Only in one out of 16 primary cultures of human ovarian cancers was mitozolomide able to induce cell cycle perturbation, suggesting that ovarian carcinoma cells may not be sensitive to this drug
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