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Wasteful fuel from the green

25.09.2005

An American scientist has calculated that by making liquid fuel from plants, you will spend more energy than you will get from the subsequent combustion of this fuel.

"There is no energy gain from turning soybeans, corn or sunflowers into liquid biofuels. Plants cannot be a renewable source of energy," said Cornell University professor David Pimentel.

In the production of biofuels, that is, ethyl alcohol, from corn, wood or millet, as well as diesel fuel from soybeans or sunflowers, energy is spent primarily on sowing and harvesting, the production of fertilizers, pesticides, the processing of fields and melioration. Then follows the fermentation of biomass, the distillation of pure alcohol from water and the processing of foul-smelling waste.

The result of a full calculation of energy costs is downright deadly to the idea of ​​replacing fuel from oil with fuel harvested from the fields. It turns out that when burned, ethanol from corn will give 29% less energy than it needs to be spent on its manufacture, from millet - by 45%, from wood - by 57%; diesel fuel from soybeans - by 27%, and from sunflower - by 118%.

“Our government is spending $3 billion on subsidies to companies that turn alcohol into fuel. This is completely unwise: we see that these technologies increase the country’s dependence on oil and gas supplies, and not at all reduce it. In fact, you need to invest in technologies for generating electricity through the combustion of biomass, through the sun and wind, as well as into hydrogen energy," the scientist believes.

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Random news from the Archive

The retina does not change with age 07.06.2012

It turned out that, contrary to popular belief, the retina changes as a person ages. If measures are not taken in time, this can significantly complicate the work of security services in the future.

Scanning and recognition of the retina for security purposes is increasingly being used in many countries around the world. Some states, such as the United Arab Emirates and the United Kingdom, have already introduced this procedure into their border control protocol. However, according to scientists from the University of Notre Dame, Indiana, this method is not as reliable as it might seem at first glance. It turned out that with age, the human retina changes, which is accompanied by an increase in the frequency of false mismatches.

The researchers used state-of-the-art commercial software to analyze the differences between more than 20 different images of 000 retinas taken between 644 and 2008. They compared images of the retinas of the same people, between the acquisition of which was approximately one month, and one, two or three years. It turned out that compared with the baseline after three years, the frequency of false non-matches in scan results increased by 2011%.

All retinal recognition methods have a margin of error, as two images of the same retina are always slightly different from each other. The chance of misidentifying the retinas of two different people as identical (false match rate) is about 1 in 2 million. Based on the data obtained by the researchers, for retinas that have been imaged in the system for 3 years, the probability of mismatch increases to 2,5 in 2 million. This value looks negligible, however, apparently, the observed effect is cumulative, that is, it "accumulates" over time. In other words, if after 1-2 years the problem may not be noticed, then in 5-10 years it can significantly worsen. At the very least, this can lead to an increase in the duration of the verification procedures due to the need for repeated scans. The worst consequence would be to increase the chances of undetected people who cross borders illegally.

One of the possible solutions to the problem is regular updating of retinal images in databases, which may be associated with certain organizational difficulties. Experts believe that the most acceptable option is the development of retinal recognition algorithms that are not subject to errors associated with aging. They also note that it is completely unclear where the claim that the retina does not age comes from. It appears to have arisen from a lack of long-term data based on an optimistic assumption made in the early days of retinal biometric scanning research. As a result of repeated repetition, this assumption gradually turned into an axiom that did not stand the first test.

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