منابع مشابه
A Seismic Factor of Radon Danger on a Case Study of Armenia
For the first time, on the basis of Spitak earthquake experience (Armenia, December 1988), it was found that an earthquake causes intensive and prolonged radon releases that are quickly dispersed in the open air and that is why they are not usually registered but contrastingly displayed in covered premises (such as dwelling houses, schools, kindergartens) even if they are at a considerable dist...
متن کاملAverting danger from within
A factor that promotes blood vessel growth keeps two types of brain cells alive, say Maharaj et al. (page 491). Their findings might explain why anticancer drugs that block this factor cause neurological side effects. The drug target in question—vascular endothelial growth factor (VEGF)— binds to receptors on blood vessel endothelial cells. A localized increase in VEGF, which is produced by und...
متن کاملa seismic factor of radon danger on a case study of armenia
for the first time, on the basis of spitak earthquake experience (armenia, december 1988), it was found that an earthquake causes intensive and prolonged radon releases that are quickly dispersed in the open air and that is why they are not usually registered but contrastingly displayed in covered premises (such as dwelling houses, schools, kindergartens) even if they are at a considerable dist...
متن کاملReconstructions from Doppler Radon transforms
We will study whether it is possible to regain information about a vector eld from projections, in the same way as is possible for scalar functions with Radon transform. It turns out that the curl and divergence of the eld can be reconstructed separately from two different transforms, and algorithms are devised using a variant of the ltered back projection algorithm for reconstruction. It is a ...
متن کاملLearning from Little: Comparison of Classifiers Given Little Training
Many real-world machine learning tasks are faced with the problem of small training sets. Additionally, the class distribution of the training set often does not match the target distribution. In this paper we compare the performance of many learning models on a substantial benchmark of binary text classification tasks having small training sets. We vary the training size and class distribution...
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ژورنال
عنوان ژورنال: Nature
سال: 1979
ISSN: 0028-0836,1476-4687
DOI: 10.1038/279012b0