Extensive use of （） communication is most likely to aid in solving complex problems.

A:verbal B:written C:formal D:non-verbal

If you are a tourist interested in seeing a baseball game while in New York, you can find out which of its teams are in town simply by sending a message to AskForCents.com. In a few minutes, the answer comes back, apparently supplied by a machine, but actually composed by a human. Using humans to process information in a machine-like way is not new: it was pioneered by the Mechanical Turk, a famed 18th-century chess-playing machine that was operated by a hidden chessmaster. But while computers have since surpassed the human brain at chess, many tasks still baffle even the most powerful electronic brain.
For instance, computers can find you a baseball schedule, but they cannot tell you directly if the Yankees are in town. Nor can they tell you whether sitting in the bleachers is a good idea on a first date. AskForCents can, because its answers come from people. "Whatever question you can come up with, there’s a person that can provide the answer—you don’t have the inflexibility of an algorithm-driven system," says Jesse Heitler, who developed AskForCents. Mr. Heitler was able to do this thanks to a new software tool developed by Amazon, the online retailer, that allows computing tasks to be farmed out to people over the internet. Aptly enough, Amazon’s system is called Mechanical Turk.
Amazon’s Turk is part toolkit for software developers, and part online bazaar: anyone with intemet access can register as a Turk user and start performing the Human Intelligence Tasks (HITs) listed on the Turk website (mturk.com). Companies can become "requesters by setting up a separate account, tied to a bank account that will pay out fees, and then posting their HITs. Most HITs pay between one cent and $5. So far, people from more than 100 countries have performed HITs, though only those with American bank accounts can receive money for their work; others are paid in Amazon gift certificates.
Mr. Heitler says he had previously tried to build a similar tool, but concluded that the in-frastucture would be difficult to operate profitably. Amazon already has an extensive software infrastructure designed for linking buyers with sellers, however, and the Turk simply extends that existing model. Last November Amazon unveiled a prototype of the system, which it calls "artificial artificial intelligence". The premise is that humans are vastly superior to computers at tasks such as pattern recognition, says Peter Cohen, director of the project at Amazon, so why not let software take advantage of human strengths
Mr. Cohen credits Amazon’s boss, Jeff Bezos, with the concept for the Turk. Other people have had similar ideas. Eric Bonabeau of Icosystem, an American firm that builds software tools modeled on natural systems, has built what he calls the "Hunch Engine" to combine human intelligence with computer analysis. The French postal service, for example, has used it to help its workers choose the best delivery routes, and pharmaceutical researchers are using it to determine molecular structures by combining their gut instincts with known results stored in a database. And a firm called Seriosity hopes to tap the collective brainpower of the legions of obsessive players of multiplayer online games such as "World of War-craft ", by getting them to perform small real-world tasks (such as sorting photographs) while playing, and paying them in the game’s own currency.
Seriosity is mentioned in the passage to

A:show the extensive influence of Turk on the commercial world. B:substantiate endeavors to apply human intelligence to computer analysis. C:show the strength of collective brainpower of computer game players. D:substantiate people’s abilities of sorting photographs while playing games.

If sustainable competitive advantage depends on work-force skills, American firms have a problem. Human-resource management is not traditionally seen as central to the competitive survival of the firm in the United States. Skill acquisition is considered an individual responsibility. Labor is simply another factor of production to be hired—rented at the lowest possible cost—much as one buys raw materials or equipment.
The lack of importance attached to human-resource management can be seen in the corporate hierarchy. In an American firm the chief financial officer is almost always second in command. The post of head of human resource management is usually a specialized job, off at the edge of corporate hierarchy. The executive who holds it is never consulted on major strategic decisions and has no chance to move up to Chief Executive Officer (CEO). By way of contrast, in Japan the head of human-resource management is central—usually the second most important executive, after the CEO, in the firm’s hierarchy.
While American firms often talk about the vast amounts spent on training their work forces, in fact they invest less in the skills of their employees than do either Japanese or German firms. The money they do invest is also more highly concentrated on professional and managerial employees. And the limited investments that are made in training workers are also much more narrowly focused on the specific skills necessary to do the next job rather than on the basic background skills that make it possible to absorb new technologies.
As a result, problems emerge when new breakthrough technologies arrive. If American workers, for example, take much longer to learn how to operate new flexible manufacturing stations than workers in Germany (as they do), the effective cost of those stations is lower in Germany than it is in the United States. More time is required before equipment is up and running at capacity, and the need for extensive retraining generates costs and creates bottlenecks that limit the speed with which new equipment can be employed. The result is a slower pace of technological change. And in the end the skills of the bottom half of the population affect the wages of the top half. If the bottom half can’ t effectively staff the processes that have to be operated, the management and professional jobs that go with these processes will disappear.
What is the main idea of the passage

A:American firms are not different from Japanese and German firms in human resource management. B:Extensive retraining is indispensable to effective human resource management. C:The human resource management strategies of American firms affect their competitive capacity. D:The head of human resource management must be in the central position in a firms hierarchy.

If you are a tourist interested in seeing a baseball game while in New York, you can Find out which of its teams are in town simply by sending a message to AskForCents. com. In a few minutes, the answer comes back, apparently supplied by a machine, but actually composed by a human. Using humans to process information in a machine-like way is not new- it was pioneered by the Mechanical Turk, a famed 18th-century chess-playing machine that was operated by a hidden chessmaster. But while computers have since surpassed the human brain at chess, many tasks still baffle even the most powerful electronic brain.
For instance, computers can find you a baseball schedule, but they cannot tell you directly if the Yankees are in town. Nor can they tell you whether sitting in the bleachers is a good idea on a first date. AskForCents can, because its answers come from people. "Whatever question you can come up with, there’s a person that can provide the answer-- you don’t have the inflexibility of an algorithm-driven system," says Jesse Heitler, who developed AskForCents. Mr. Heitler was able to do this thanks to a new software tool developed by Amazon, the online retailer, that allows computing tasks to be farmed out to people over the internet. Aptly enough, Amazon’s system is called Mechanical Turk.
Amazon’s Turk is part toolkit for software developers, and part online bazaar: anyone with internet access can register as a Turk user and start performing the Human Intelligence Tasks (HITs) listed on the Turk website (mturk.com ). Companies can become "requesters" by setting up a separate account, tied to a bank account that will pay out fees, and then posting their HITs. Most HITs pay between one cent and $ 5. So far, people from more than 100 countries have performed HITs, though only those with American bank accounts can receive money for their work; others are paid in Amazon gift certificates.
Mr. Heitler says he had previously tried to build a similar tool, but concluded that the infrastructure would be difficult to operate profitably. Amazon already has an extensive software infrastructure designed for linking buyers with sellers, however, and the Turk simply extends that existing model. Last November Amazon unveiled a prototype of the system, which it calls "artificial artificial intelligence". The premise is that humans are vastly superior to computers at tasks such as pattern recognition, says Peter Cohen, director of the project at Amazon, so why not let software take advantage of human strengths
Mr. Cohen credits Amazon’s boss, Jeff Bezos, with the concept for the Turk. Other people have had similar ideas. Eric Bonabeau of Icosystem, an American firm that builds software tools modeled on natural systems, has built what he calls the "Hunch Engine" to combine human intelligence with computer analysis. The French postal service, for example, has used it to help its workers choose the best delivery routes, and pharmaceutical researchers are using it to determine molecular structures by combining their gut instincts with known results stored in a database. And a firm called Seriosity hopes to tap the collective brainpower of the legions of obsessive players of multiplayer online games such as "World of Warcraft", by getting them to perform small real-world tasks (such as sorting photographs) while playing, and paying them in the game’s own currency.
Seriosity is mentioned in the passage to

A:show the extensive influence of Turk on the commercial world. B:substantiate endeavors to apply human intelligence to computer analysis. C:show the strength of collective brainpower of computer game players. D:substantiate people’s abilities of sorting photographs while playing games.

Text 3

Seriosity is mentioned in the passage to

A:show the extensive influence of Turk on the commercial world. B:substantiate endeavors to apply human intelligence to computer analysis. C:show the strength of collective brainpower of computer game players. D:substantiate people’s abilities of sorting photographs while playing games.

Text 3

Seriosity is mentioned in the passage to

A:show the extensive influence of Turk on the commercial world. B:substantiate endeavors to apply human intelligence to computer analysis. C:show the strength of collective brainpower of computer game players. D:substantiate people’s abilities of sorting photographs while playing games.

If you are a tourist interested in seeing a baseball game while in New York, you can find out which of its teams are in town simply by sending a message to AskForCents.com. In a few minutes, the answer comes back, apparently supplied by a machine, but actually composed by a human. Using humans to process information in a machine-like way is not new: it was pioneered by the Mechanical Turk, a famed 18th-century chess-playing machine that was operated by a hidden chessmaster. But while computers have since surpassed the human brain at chess, many tasks still baffle even the most powerful electronic brain.
For instance, computers can find you a baseball schedule, but they cannot tell you directly if the Yankees are in town. Nor can they tell you whether sitting in the bleachers is a good idea on a first date. AskForCents can, because its answers come from people. "Whatever question you can come up with, there’s a person that can provide the answer—you don’t have the inflexibility of an algorithm-driven system," says Jesse Heitler, who developed AskForCents. Mr. Heitler was able to do this thanks to a new software tool developed by Amazon, the online retailer, that allows computing tasks to be farmed out to people over the internet. Aptly enough, Amazon’s system is called Mechanical Turk.
Amazon’s Turk is part toolkit for software developers, and part online bazaar: anyone with intemet access can register as a Turk user and start performing the Human Intelligence Tasks (HITs) listed on the Turk website (mturk.com). Companies can become "requesters by setting up a separate account, tied to a bank account that will pay out fees, and then posting their HITs. Most HITs pay between one cent and $5. So far, people from more than 100 countries have performed HITs, though only those with American bank accounts can receive money for their work; others are paid in Amazon gift certificates.
Mr. Heitler says he had previously tried to build a similar tool, but concluded that the in-frastucture would be difficult to operate profitably. Amazon already has an extensive software infrastructure designed for linking buyers with sellers, however, and the Turk simply extends that existing model. Last November Amazon unveiled a prototype of the system, which it calls "artificial artificial intelligence". The premise is that humans are vastly superior to computers at tasks such as pattern recognition, says Peter Cohen, director of the project at Amazon, so why not let software take advantage of human strengths
Mr. Cohen credits Amazon’s boss, Jeff Bezos, with the concept for the Turk. Other people have had similar ideas. Eric Bonabeau of Icosystem, an American firm that builds software tools modeled on natural systems, has built what he calls the "Hunch Engine" to combine human intelligence with computer analysis. The French postal service, for example, has used it to help its workers choose the best delivery routes, and pharmaceutical researchers are using it to determine molecular structures by combining their gut instincts with known results stored in a database. And a firm called Seriosity hopes to tap the collective brainpower of the legions of obsessive players of multiplayer online games such as "World of War-craft ", by getting them to perform small real-world tasks (such as sorting photographs) while playing, and paying them in the game’s own currency.

Seriosity is mentioned in the passage to（）

A:show the extensive influence of Turk on the commercial world B:substantiate endeavors to apply human intelligence to computer analysis C:show the strength of collective brainpower of computer game players D:substantiate people’s abilities of sorting photographs while playing games

If you are a tourist interested in seeing a baseball game while in New York, you can Find out which of its teams are in town simply by sending a message to AskForCents. com. In a few minutes, the answer comes back, apparently supplied by a machine, but actually composed by a human. Using humans to process information in a machine-like way is not new- it was pioneered by the Mechanical Turk, a famed 18th-century chess-playing machine that was operated by a hidden chessmaster. But while computers have since surpassed the human brain at chess, many tasks still baffle even the most powerful electronic brain.
For instance, computers can find you a baseball schedule, but they cannot tell you directly if the Yankees are in town. Nor can they tell you whether sitting in the bleachers is a good idea on a first date. AskForCents can, because its answers come from people. "Whatever question you can come up with, there’s a person that can provide the answer-- you don’t have the inflexibility of an algorithm-driven system," says Jesse Heitler, who developed AskForCents. Mr. Heitler was able to do this thanks to a new software tool developed by Amazon, the online retailer, that allows computing tasks to be farmed out to people over the internet. Aptly enough, Amazon’s system is called Mechanical Turk.
Amazon’s Turk is part toolkit for software developers, and part online bazaar: anyone with internet access can register as a Turk user and start performing the Human Intelligence Tasks (HITs) listed on the Turk website (mturk.com ). Companies can become "requesters" by setting up a separate account, tied to a bank account that will pay out fees, and then posting their HITs. Most HITs pay between one cent and $ 5. So far, people from more than 100 countries have performed HITs, though only those with American bank accounts can receive money for their work; others are paid in Amazon gift certificates.
Mr. Heitler says he had previously tried to build a similar tool, but concluded that the infrastructure would be difficult to operate profitably. Amazon already has an extensive software infrastructure designed for linking buyers with sellers, however, and the Turk simply extends that existing model. Last November Amazon unveiled a prototype of the system, which it calls "artificial artificial intelligence". The premise is that humans are vastly superior to computers at tasks such as pattern recognition, says Peter Cohen, director of the project at Amazon, so why not let software take advantage of human strengths
Mr. Cohen credits Amazon’s boss, Jeff Bezos, with the concept for the Turk. Other people have had similar ideas. Eric Bonabeau of Icosystem, an American firm that builds software tools modeled on natural systems, has built what he calls the "Hunch Engine" to combine human intelligence with computer analysis. The French postal service, for example, has used it to help its workers choose the best delivery routes, and pharmaceutical researchers are using it to determine molecular structures by combining their gut instincts with known results stored in a database. And a firm called Seriosity hopes to tap the collective brainpower of the legions of obsessive players of multiplayer online games such as "World of Warcraft", by getting them to perform small real-world tasks (such as sorting photographs) while playing, and paying them in the game’s own currency.

Seriosity is mentioned in the passage to（）

A:show the extensive influence of Turk on the commercial world B:substantiate endeavors to apply human intelligence to computer analysis C:show the strength of collective brainpower of computer game players D:substantiate people’s abilities of sorting photographs while playing games

The pictures acquired by a NASA orbiter(卫星) show white material exposed by flesh meteorite impacts fading over time-behaviour expected of ice on Mars. An onboard instrument also detected the tell-tale chemical signature of water.
To date, exposed water-ice has only been seen at very high latitudes. The US space agency’s (NASA) recent Phoenix probe famously dug into water-ice at its" high Arctic" landing site. The implication, even with the small set of examples scientists now have, is that broad deposits of ice sit just below the red top-soil of Mars. "There’s a consistent picture starting to emerge now that these broad sheets may be common on Mars," observed Shane Byme of the University of Arizona, a member of the team running the HiRISE camera on NASA’s Mars Reconnaissance Orbiter (MRO).
"The volume of water is probably comparable to the volume that we would have in the Greenland ice sheet on the Eanh-in the buried ice deposits that stretch from each pole to mid-latitudes. "
MRO has produced" earlier" and" later" images at five fresh impact sites made in 2008. These were all halfway between the North Pole and the equator on Mars.
The craters (环形山, 陨石坑) were small, just a few metres across, gouged out by incoming space rocks that may have been no more than 10cm in size. The bright, white deposits uncovered by the impacts were seen to wither over time, something exposed water-ice cannot help but do in the low-pressure Martian atmosphere. It is bound to sublimate-to tum directly from a solid into a Vapour.
However, the length of time it took to fade was a good indication that the ice was very pure. Had it contained a lot of dirt mixed in with it, the ice would have sublimated much quicker, scientists said.
The discoveries made by MRO are said to indicate that Mars had a more humid climate in the relatively recent past, within the last 10,000 years. Scientists suspect much of this ice came out of the atmosphere. Water vapour in the atmosphere will diffuse through the particles of the soil until it gets to a certain depth where it then freezes.
The locations of the exposed ice fit with the models used to predict where ground ice might be stable, i. e. from mid up to high latitudes.
"The more humid the Martian atmosphere, the more extensive the area of this stable ice. " explained Shane Byme. "Based on the locations of these craters, we are able to say something about how much water was in the Martian atmosphere recently, and that turns out to be a lot more than is in the atmosphere today—maybe almost double what’s in the atmosphere today. /
Which of the following is true according to Shane Byme

A:Broad sheets of ice may be common on Mars. B:The volume of water is incomparable to the volume in the Greenland ice sheet on the Earth. C:The less humid the Martian atmosphere, the more extensive the area of this stable ice. D:The water turns out to be much less than is in the atmosphere today.