Chemical features mining

A most important task in the handling of molecular data is the evaluation of "hidden information in large chemical data sets. One of the differences between data mining techniques and conventional database queries is the generation of new data that are used subsequently to characterize molecular features in a more general way. Generally, it is not possible to hold all the potentially important information in a data set of chemical structures. Thus, the extraction of relevant information and the production of reliable secondary information are important topics. 

In Britain, Leblanc pollution went uncontrolled for decades. A visitor outside Liverpool, a major Leblanc factory center, described in 1846 a sordid ugly town. The sky is a low-hanging roof of smeary smoke. The atmosphere is a blend of railway tunnel, hospital ward, gas works and open sewer. The features of the place are chimneys, furnaces, steam jets, smoke clouds and coal mines. The products are pills, coal, glass, chemicals, cripples, millionaires and paupers. An estimated 40,000 men, women, and children— many of them Irish escaping the potato famine—worked in British Leblanc factories. Until 1875, workers stirred batches of chemicals in a cloud of hydrochloric acid gas. Their teeth decayed, and their clothing burned. Inhaling deeply could make them faint and vomit. 

This is a very good Australian film about MCS and the environmental consequences of countless untested, potentially toxic chemical substances circulating in our surroundings every day. We are involved in a massive and dangerous experiment. How can we know for sure that our bodies can handle all this The story about the canaries in the mine also features in this movie. 

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