Questões Militares Comentadas sobre inglês
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Modern buildings incorporate exciting forms with glittering façades and compelling interior spaces. Surveying for these projects requires sophisticated computation, aggressive quality control and close interaction with construction teams.
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Almost invariably, a new baby’s photo album begins with a grainy black-and-white picture taken months before birth — a prenatal ultrasound image, which is often detailed enough to inspire comments about the child’s resemblance to very members of the family.
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Although technology has benefit agriculture in a number of ways, there are some things that growers still do the old-fashioned way. Among them is putting their hands and other measuring devices in the dirt and judging, based on how moist the soil is, whether their crops need water and how much should be added.
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People pursue technology for a living because they are passionate about making things, making things better, and making a difference in the world. Today's engineers need the knowledge to tackle classics engineering problems, but also the sensitivity to understand the social impact of technology on people and the environment.
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Did you know that your car probably has more software running in it than the latest military fighter jets? Or that it has fifty or more embedded microprocessors that control everything from meeting governmental emission-control standards for automatically increasing the volume of your radio as you drive faster?
A frase a seguir apresenta 5 (cinco) palavras sublinhadas, dentre as quais uma está ERRADA, tornando a frase gramaticalmente incorreta. Marque a alternativa que torna a frase gramaticalmente INCORRETA.
Crafting clever toys, making beautiful music, lighting up the South Pacific – the ten technologists in our special report has engineered exciting careers that melt their passions with their professions.
In August of 2000, a Japanese scientist named Toshiyuki Nakagaki announced that he had trained an amoebalike organism called slime mold to find the shortest route through a maze. Nakagaki had placed the mold in a small maze comprising four possible routes and planted pieces of food at two of the exits. Despite its being an incredibly primitive organism (a close relative of ordinary fungi) with no centralized brain whatsoever, the slime mold managed to plot the most efficient route to the food, stretching its body through the maze so that it connected directly to the two food sources. Without any apparent cognitive resources, the slime mold had “solved” the maze puzzle.
For such a simple organism, the slime mold has an impressive intellectual pedigree. Nakagaki’s announcement was only the latest in a long chain of investigations into the subtleties of slime mold behavior. For scientists trying to understand systems that use relatively simple components to build higher-level intelligence, the slime mold may someday be seen as the equivalent of the finches and tortoises that Darwin observed on the Galapagos Islands.
How did such a lowly organism come to play such an important scientific role? That story begins in the late sixties in New York City, with a scientist named Evelyn Fox Keller. A Harvard Ph.D. in physics, Keller had written her dissertation on molecular biology, and she had spent some time exploring the nascent field of “non-equilibrium thermodynamics”, which in later years would come to be associated with complexity theory. By 1968, she was working as an associate at Sloan-Kettering in Manhattan, thinking about the application of mathematics to biological problems. Mathematics had played such a tremendous role in expanding our understanding of physics, Keller thought – so perhaps it might also be useful for understanding living systems.
In the spring of 1968, Keller met a visiting scholar named Lee Segel, an applied mathematician who shared her interests. It was Segel who first introduced her to the bizarre conduct of the slime mold, and together they began a series of investigations that would help transform not just our understanding of biological development but also the disparate worlds of brain science, software design, and urban studies.
(…)
Johson, Steven. Emergence. Peguin Books Ltd. 2001, pp. 11-12.
In August of 2000, a Japanese scientist named Toshiyuki Nakagaki announced that he had trained an amoebalike organism called slime mold to find the shortest route through a maze. Nakagaki had placed the mold in a small maze comprising four possible routes and planted pieces of food at two of the exits. Despite its being an incredibly primitive organism (a close relative of ordinary fungi) with no centralized brain whatsoever, the slime mold managed to plot the most efficient route to the food, stretching its body through the maze so that it connected directly to the two food sources. Without any apparent cognitive resources, the slime mold had “solved” the maze puzzle.
For such a simple organism, the slime mold has an impressive intellectual pedigree. Nakagaki’s announcement was only the latest in a long chain of investigations into the subtleties of slime mold behavior. For scientists trying to understand systems that use relatively simple components to build higher-level intelligence, the slime mold may someday be seen as the equivalent of the finches and tortoises that Darwin observed on the Galapagos Islands.
How did such a lowly organism come to play such an important scientific role? That story begins in the late sixties in New York City, with a scientist named Evelyn Fox Keller. A Harvard Ph.D. in physics, Keller had written her dissertation on molecular biology, and she had spent some time exploring the nascent field of “non-equilibrium thermodynamics”, which in later years would come to be associated with complexity theory. By 1968, she was working as an associate at Sloan-Kettering in Manhattan, thinking about the application of mathematics to biological problems. Mathematics had played such a tremendous role in expanding our understanding of physics, Keller thought – so perhaps it might also be useful for understanding living systems.
In the spring of 1968, Keller met a visiting scholar named Lee Segel, an applied mathematician who shared her interests. It was Segel who first introduced her to the bizarre conduct of the slime mold, and together they began a series of investigations that would help transform not just our understanding of biological development but also the disparate worlds of brain science, software design, and urban studies.
(…)
Johson, Steven. Emergence. Peguin Books Ltd. 2001, pp. 11-12.
In August of 2000, a Japanese scientist named Toshiyuki Nakagaki announced that he had trained an amoebalike organism called slime mold to find the shortest route through a maze. Nakagaki had placed the mold in a small maze comprising four possible routes and planted pieces of food at two of the exits. Despite its being an incredibly primitive organism (a close relative of ordinary fungi) with no centralized brain whatsoever, the slime mold managed to plot the most efficient route to the food, stretching its body through the maze so that it connected directly to the two food sources. Without any apparent cognitive resources, the slime mold had “solved” the maze puzzle.
For such a simple organism, the slime mold has an impressive intellectual pedigree. Nakagaki’s announcement was only the latest in a long chain of investigations into the subtleties of slime mold behavior. For scientists trying to understand systems that use relatively simple components to build higher-level intelligence, the slime mold may someday be seen as the equivalent of the finches and tortoises that Darwin observed on the Galapagos Islands.
How did such a lowly organism come to play such an important scientific role? That story begins in the late sixties in New York City, with a scientist named Evelyn Fox Keller. A Harvard Ph.D. in physics, Keller had written her dissertation on molecular biology, and she had spent some time exploring the nascent field of “non-equilibrium thermodynamics”, which in later years would come to be associated with complexity theory. By 1968, she was working as an associate at Sloan-Kettering in Manhattan, thinking about the application of mathematics to biological problems. Mathematics had played such a tremendous role in expanding our understanding of physics, Keller thought – so perhaps it might also be useful for understanding living systems.
In the spring of 1968, Keller met a visiting scholar named Lee Segel, an applied mathematician who shared her interests. It was Segel who first introduced her to the bizarre conduct of the slime mold, and together they began a series of investigations that would help transform not just our understanding of biological development but also the disparate worlds of brain science, software design, and urban studies.
(…)
Johson, Steven. Emergence. Peguin Books Ltd. 2001, pp. 11-12.
De acordo com o texto, Evelyn Fox Keller
I. tornou-se PhD em Física pela Universidade de Harvard e foi a pioneira nos estudos sobre teoria de sistemas complexos.
II. acreditava na importância da Matemática não apenas para o estudo da Física, mas também da Biologia.
III. Influenciou as pesquisas do matemático Lee Segel, levando-o a se interessar pelo comportamento dos slime molds.
Está(ão) correta(s)
In August of 2000, a Japanese scientist named Toshiyuki Nakagaki announced that he had trained an amoebalike organism called slime mold to find the shortest route through a maze. Nakagaki had placed the mold in a small maze comprising four possible routes and planted pieces of food at two of the exits. Despite its being an incredibly primitive organism (a close relative of ordinary fungi) with no centralized brain whatsoever, the slime mold managed to plot the most efficient route to the food, stretching its body through the maze so that it connected directly to the two food sources. Without any apparent cognitive resources, the slime mold had “solved” the maze puzzle.
For such a simple organism, the slime mold has an impressive intellectual pedigree. Nakagaki’s announcement was only the latest in a long chain of investigations into the subtleties of slime mold behavior. For scientists trying to understand systems that use relatively simple components to build higher-level intelligence, the slime mold may someday be seen as the equivalent of the finches and tortoises that Darwin observed on the Galapagos Islands.
How did such a lowly organism come to play such an important scientific role? That story begins in the late sixties in New York City, with a scientist named Evelyn Fox Keller. A Harvard Ph.D. in physics, Keller had written her dissertation on molecular biology, and she had spent some time exploring the nascent field of “non-equilibrium thermodynamics”, which in later years would come to be associated with complexity theory. By 1968, she was working as an associate at Sloan-Kettering in Manhattan, thinking about the application of mathematics to biological problems. Mathematics had played such a tremendous role in expanding our understanding of physics, Keller thought – so perhaps it might also be useful for understanding living systems.
In the spring of 1968, Keller met a visiting scholar named Lee Segel, an applied mathematician who shared her interests. It was Segel who first introduced her to the bizarre conduct of the slime mold, and together they began a series of investigations that would help transform not just our understanding of biological development but also the disparate worlds of brain science, software design, and urban studies.
(…)
Johson, Steven. Emergence. Peguin Books Ltd. 2001, pp. 11-12.
Em sua pesquisa, Toshiyuki Nakagaki
I. colocou um slime mold num labirinto com quatro saídas.
II. treinou um slime mold a sair de um labirinto pelo caminho mais curto.
III. colocou alimentos em todas as saídas do labirinto para atrair o slime mold.
Está(ão) correta(s)
In August of 2000, a Japanese scientist named Toshiyuki Nakagaki announced that he had trained an amoebalike organism called slime mold to find the shortest route through a maze. Nakagaki had placed the mold in a small maze comprising four possible routes and planted pieces of food at two of the exits. Despite its being an incredibly primitive organism (a close relative of ordinary fungi) with no centralized brain whatsoever, the slime mold managed to plot the most efficient route to the food, stretching its body through the maze so that it connected directly to the two food sources. Without any apparent cognitive resources, the slime mold had “solved” the maze puzzle.
For such a simple organism, the slime mold has an impressive intellectual pedigree. Nakagaki’s announcement was only the latest in a long chain of investigations into the subtleties of slime mold behavior. For scientists trying to understand systems that use relatively simple components to build higher-level intelligence, the slime mold may someday be seen as the equivalent of the finches and tortoises that Darwin observed on the Galapagos Islands.
How did such a lowly organism come to play such an important scientific role? That story begins in the late sixties in New York City, with a scientist named Evelyn Fox Keller. A Harvard Ph.D. in physics, Keller had written her dissertation on molecular biology, and she had spent some time exploring the nascent field of “non-equilibrium thermodynamics”, which in later years would come to be associated with complexity theory. By 1968, she was working as an associate at Sloan-Kettering in Manhattan, thinking about the application of mathematics to biological problems. Mathematics had played such a tremendous role in expanding our understanding of physics, Keller thought – so perhaps it might also be useful for understanding living systems.
In the spring of 1968, Keller met a visiting scholar named Lee Segel, an applied mathematician who shared her interests. It was Segel who first introduced her to the bizarre conduct of the slime mold, and together they began a series of investigations that would help transform not just our understanding of biological development but also the disparate worlds of brain science, software design, and urban studies.
(…)
Johson, Steven. Emergence. Peguin Books Ltd. 2001, pp. 11-12.
"If we lived on a planet where nothing ever changed, there would be little to do. There would be nothing to figure out. There would be no impetus for science. And if we lived in an unpredictable world, where things changed in random or very complex ways, we would not be able to figure things out. ___________________________. If I throw a stick up in the air, it always falls down. If the sun sets in the west, it always rises again the next morning in the east. And so it becomes possible to figure things out. We can do science, and with it we can improve our lives."
Carl Sagan, http://todayinsci.com/S/Sagan_Carl/SaganCarl-Quotations.htm Acessado em 14 de Abril de 2015.
Text 4
Case Study 1: Damage Assessment in the Philippines after Typhoon Haiyan
In November 2013, Super Typhoon Haiyan devastated the city of Tacloban in the Philippines. Soon after, a case the size of a backpack arrived, accompanied by a small team of experts. This pilot project to bring in a UAV, with a range of up to five kilometers and a high-resolution video camera, to assist humanitarian responders was the work of a partnership between several private sector firms and NetHope, a consortium of NGOs.
The Philippines lacked the necessary regulations, so the use of the UAV was cleared by a special agreement with the Mayor of Tacloban. The UAV was covered with insurance that covered damage or injury due to malfunction.
The UAV was used first to identify where to set up a base of operations, and then to check if roads were passable, a task that could take days when done on foot or by helicopter. The UAV was also flown up the coast to evaluate damage from storm surge and flooding and to see which villages had been affected. The aerial assessments “really helped to speed up …efforts, cut down on wasted time and work, and make them more accurate in their targeting of assistance.” It was also suggested that the UAV might have located survivors in the rubble using infrared cameras if it had arrived within 72 hours.
Interest is building in developing local capacity for using UAVs in disaster response. SkyEye Inc., a local start-up, is working with the Ateneo de Manila University to train five teams across the Philippines to locally deploy UAVs in preparation for next typhoon season.
UAV= unmanned aerial vehicle
NGOs= Non-Governmental Organizations
Disponível em http://www.unocha.org/about-us/publications/flagship-publications/*/72 Acesso em 15 Abr 2015.
Text 4
Case Study 1: Damage Assessment in the Philippines after Typhoon Haiyan
In November 2013, Super Typhoon Haiyan devastated the city of Tacloban in the Philippines. Soon after, a case the size of a backpack arrived, accompanied by a small team of experts. This pilot project to bring in a UAV, with a range of up to five kilometers and a high-resolution video camera, to assist humanitarian responders was the work of a partnership between several private sector firms and NetHope, a consortium of NGOs.
The Philippines lacked the necessary regulations, so the use of the UAV was cleared by a special agreement with the Mayor of Tacloban. The UAV was covered with insurance that covered damage or injury due to malfunction.
The UAV was used first to identify where to set up a base of operations, and then to check if roads were passable, a task that could take days when done on foot or by helicopter. The UAV was also flown up the coast to evaluate damage from storm surge and flooding and to see which villages had been affected. The aerial assessments “really helped to speed up …efforts, cut down on wasted time and work, and make them more accurate in their targeting of assistance.” It was also suggested that the UAV might have located survivors in the rubble using infrared cameras if it had arrived within 72 hours.
Interest is building in developing local capacity for using UAVs in disaster response. SkyEye Inc., a local start-up, is working with the Ateneo de Manila University to train five teams across the Philippines to locally deploy UAVs in preparation for next typhoon season.
UAV= unmanned aerial vehicle
NGOs= Non-Governmental Organizations
Disponível em http://www.unocha.org/about-us/publications/flagship-publications/*/72 Acesso em 15 Abr 2015.
Text 4
Case Study 1: Damage Assessment in the Philippines after Typhoon Haiyan
In November 2013, Super Typhoon Haiyan devastated the city of Tacloban in the Philippines. Soon after, a case the size of a backpack arrived, accompanied by a small team of experts. This pilot project to bring in a UAV, with a range of up to five kilometers and a high-resolution video camera, to assist humanitarian responders was the work of a partnership between several private sector firms and NetHope, a consortium of NGOs.
The Philippines lacked the necessary regulations, so the use of the UAV was cleared by a special agreement with the Mayor of Tacloban. The UAV was covered with insurance that covered damage or injury due to malfunction.
The UAV was used first to identify where to set up a base of operations, and then to check if roads were passable, a task that could take days when done on foot or by helicopter. The UAV was also flown up the coast to evaluate damage from storm surge and flooding and to see which villages had been affected. The aerial assessments “really helped to speed up …efforts, cut down on wasted time and work, and make them more accurate in their targeting of assistance.” It was also suggested that the UAV might have located survivors in the rubble using infrared cameras if it had arrived within 72 hours.
Interest is building in developing local capacity for using UAVs in disaster response. SkyEye Inc., a local start-up, is working with the Ateneo de Manila University to train five teams across the Philippines to locally deploy UAVs in preparation for next typhoon season.
UAV= unmanned aerial vehicle
NGOs= Non-Governmental Organizations
Disponível em http://www.unocha.org/about-us/publications/flagship-publications/*/72 Acesso em 15 Abr 2015.
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