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Drinking coffee could help you live longer Coffee not only helps you feel full of beans, it might add years to your life as well, two major studies have shown. Scientists in Europe and the US have uncovered the clearest evidence yet that drinking coffee reduces the risk of death.
One study of more than half a million people from 10 European countries found that men who downed at least three cups of coffee a day were 18% less likely to die from any cause than non-coffee drinkers. Women drinking the same amount benefited less, but still experienced an 8% reduction in mortality over the period measured.
Similar results were reported by American scientists who conducted a separate investigation, recruiting 185855 participants from different ethnic backgrounds. Irrespective of ethnicity, people who drank two to three cups of coffee daily had an 18% reduced risk of death.
Each of the studies, both published in the journal Annals of Internal Medicine, showed no advantage from drinking either caffeinated or decaffeinated coffee. Experts believe the antioxidant plant compounds in coffee rather than caffeine are responsible for the life-extending effect. Previous research has suggested that drinking coffee can reduce the risk of heart disease, diabetes, liver disease, and some cancers.
Dr Marc Gunter, from the International Agency for Research on Cancer, who led the European study with colleagues from Imperial College London, said: “We found that higher coffee consumption was associated with a lower risk of death from any cause and specifically for circulatory diseases and digestive diseases. Importantly, these results were similar across all of the 10 European countries, with variable coffee drinking habits and customs. Our study also offers important insights into the possible mechanisms for the beneficial health effects of coffee.”
(www.huffingtonpost.co.uk, 11.07.2017. Adaptado.)
TEXT II
Like Castles In An Aquarium, Offshore Drilling Platforms Are Sprawling With Residents
Just beneath the ocean’s surface, there’s an unseen world that most people will never have the opportunity to witness firsthand. A place where nature and mankind have struck a balance – a mutual respect, a friendship of sorts.
Offshore drilling platforms have become home to vast communities of sea life. Florid carpets of coral encrust their massive pylons, along with sponge, sea urchins, crabs, and snails. Swimming in the sanctuary of their enormous risers are schools of rockfish, bright orange garibaldi and angel fish. And splashing about on the surface is the occasional sea lion.
Now scientists have confirmed what some had suspected all along. Most of the sea life was actually created at the rig rather than having come from other parts of the ocean and settled there, according to the National Academy of Sciences. And fish that would otherwise perish in vast expanses of open ocean, settle within the safety of the structures.
Like castles in an aquarium, offshore platforms are sprawling with underwater residents. Scientists say these are the richest marine ecosystems on the entire planet. They are even more productive than coral reefs and estuaries, according to marine biologists.
The first thing anyone – trained scientist or casual recreational diver – notices around a rig is the big fish -- lots of them, say marine researchers and divers, alike.
For a decade and a half, researchers used submersibles to survey fish at 16 different platforms. When the researchers tabulated the data, they were surprised to discover that, by one standard, California’s oil rigs are among the most productive marine habitats ever recorded.
At the end of their production, however, the offshore rigs must be decommissioned. Scientific insight is adding momentum to efforts to convert some of these rigs into artificial reefs […].
(From http://thesurge.com/stories/like-castles-aquarium-offshore-drilling-platformssprawling-residents. Accessed July 18th, 2017)
In “the offshore rigs must be decommissioned”, the underlined verb is a synonym of:
Read the text below and choose the correct option in question.
Artificial intelligence
Artificial intelligence (AI) is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. Since their development in the 1940s, digital computers have been programmed to carry out very complex tasks – such as discovering proofs for mathematical theorems or playing chess – with great proficiency. Despite continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match full human flexibility over wider domains or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in executing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines, voice or handwriting recognition, and chatbots.
All but the simplest human behavior is ascribed to intelligence, while even the most complicated insect behavior is usually not taken as an indication of intelligence. What is the difference? Consider the behavior of the digger wasp, Sphex ichneumoneus. When the female wasp returns to her burrow with food, she first deposits it on the threshold, checks for intruders inside her burrow, and only then, if the coast is clear, carries her food inside. The real nature of the wasp’s instinctual behavior is revealed if the food is moved a few inches away from the entrance to her burrow while she is inside: on emerging, she will repeat the whole procedure as often as the food is displaced. Intelligence conspicuously absent in the case of the wasp must include the ability to adapt to new circumstances.
Psychologists generally characterize human intelligence not by just one trait but by the combination of many diverse abilities. Research in AI has focused chiefly on the following components of intelligence: learning, reasoning, problem solving, perception, and using language.
(Adapted from: https://www.britannica.com/technology/artificial-intelligence)