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Questão 14 123796
Médio 00:00

PUC- RJ G-(1,3,4) 2016/1
  • Inglês
  • Sugira
  • Grammar Reading/Writing
  • Adverbs Report
  • Kinds
  • Exibir tags
Resolução comentada

Tsunami science:

advances since the 2004 indian ocean tragedy

The Indian Ocean tsunami was one of the worst

natural disasters in history. Enormous waves struck

countries in South Asia and East Africa with little to

no warning, killing 243,000 people. The destruction

played out on television screens around the world,

fed by shaky home videos. The outpouring of aid in

response to the devastation in Indonesia, Sri Lanka,

Thailand and elsewhere was unprecedented.

The disaster raised awareness of tsunamis and

prompted nations to pump money into research

and warning systems. Today (Dec. 26), on the 10th

anniversary of the deadly tsunami, greatly expanded

networks of seismic monitors and ocean buoys are on

alert for the next killer wave in the Indian Ocean, the

Pacific and the Caribbean. In fact, tsunami experts

can now forecast how tsunamis will flood distant

coastlines hours before the waves arrive. But hurdles

remain in saving lives for everyone under the threat of

tsunamis. No amount of warning will help those who

need to seek immediate shelter away from beaches,

disaster experts said.

Since 2004, geologists have uncovered evidence

of several massive tsunamis in buried sand layers

preserved in Sumatran caves. It turns out that the

deadly waves aren’t as rare in the Indian Ocean as

once thought. “We had five fatal tsunamis off the

coast of Sumatra prior to 2004,” said Paula Dunbar,

a scientist at NOAA’s National Geophysical Data

Center. Over the past 300 years, 69 tsunamis were

seen in the Indian Ocean, she said. Despite the risk,

there was no oceanwide tsunami warning system in

the region. Now, a $450 million early-alert network is

fully operational, though it is plagued with equipment

problems. Essentially built from scratch, the $450

million Indian Ocean Tsunami Warning System

includes more than 140 seismometers, about 100

sea-level gauges and several buoys that detect

tsunamis. More buoys were installed, but they have

been vandalized or accidentally destroyed. The

buoys and gauges help detect whether an earthquake

triggered a tsunami.

Getting the warnings down to people living in

remote coastal areas is one of the biggest hurdles

for the new system. Not all warnings reach the local

level. And not every tsunami earthquake is strong

enough to scare people away from shorelines. In

Sumatra’s Mentawai Islands, a 2010 tsunami killed

more than 400 people because residents failed to

evacuate in the short time between the earthquake

and the tsunami’s arrival. The shaking was simply not

strong enough to trigger people’s fear of tsunamis,

even though islanders had self-evacuated after a

2007 earthquake, according to an investigation by the

University of Southern California’s Tsunami Research

Center. There was also no clear-cut warning from the

regional tsunami alert system.

Another hurdle is learning how to accurately

forecast reflected tsunami waves. The 2004 Indian

Ocean tsunami ricocheted off island chains, and some

of the worst flooding arrived unexpectedly late in

places like Sri Lanka and Western Australia. “I found

a boat on the middle of the road, and at that point

knew it was a tsunami,” recalls Charitha Pattiaratchi,

a University of Western Australia tsunami expert who

was driving on a coastal Sri Lankan road on Dec. 26,

2004. “I came to the conclusion that I was safe. Well,

I was wrong. Twenty minutes later there was seven

meters of water where I had been standing, and two

hours later there were still more waves coming.”

A tsunami warning can go out just five minutes

after a submarine earthquake raises or lowers the

seafloor, thus launching a tsunami. For more detailed

predictions of the wave’s impact, such as the extent

of flooding, scientists rely on data collected by

seismometers, GPS stations, tide gauges and buoy

systems, which is relayed by satellite to warning

centers. Computer models then convert the data into

detailed tsunami simulations, which are based on

more than 2,000 real-life examples.

After an earthquake, scientists with NOAA’s

tsunami warning centers now spend about an hour

working out the details of a tsunami forecast, said

Vasily Titov, director of NOAA’s Center for Tsunami

Research. The results project when the wave will

arrive at shorelines and harbors, estimate tsunamiinduced

currents and gauge the height of the waves.

The agency’s goal is to dramatically reduce that hourlong

delay. “We’re now at the point where we want to

do it in five minutes,” Titov said. That means building

out the seismic network, getting a faster response

from the sea-level sensors and speeding up the

computer forecasts. “When these three components

come together, then we can save everybody,” Titov

said.

By Becky Oskin, Senior Writer. Adapted from http://www. livescience.com/49262-indian-ocean-tsunami-anniversary. html. December 26, 2014.

Choose the item in which the idea introduced by the underlined expression is correctly described.

Vídeos associados (35) Ver comentários

Questão 13 123795
Médio 00:00

PUC- RJ G-(1,3,4) 2016/1
  • Inglês
  • Sugira
  • Reading/Writing
  • Scientific article
  • Exibir tags
Resolução comentada

Tsunami science:

advances since the 2004 indian ocean tragedy

The Indian Ocean tsunami was one of the worst

natural disasters in history. Enormous waves struck

countries in South Asia and East Africa with little to

no warning, killing 243,000 people. The destruction

played out on television screens around the world,

fed by shaky home videos. The outpouring of aid in

response to the devastation in Indonesia, Sri Lanka,

Thailand and elsewhere was unprecedented.

The disaster raised awareness of tsunamis and

prompted nations to pump money into research

and warning systems. Today (Dec. 26), on the 10th

anniversary of the deadly tsunami, greatly expanded

networks of seismic monitors and ocean buoys are on

alert for the next killer wave in the Indian Ocean, the

Pacific and the Caribbean. In fact, tsunami experts

can now forecast how tsunamis will flood distant

coastlines hours before the waves arrive. But hurdles

remain in saving lives for everyone under the threat of

tsunamis. No amount of warning will help those who

need to seek immediate shelter away from beaches,

disaster experts said.

Since 2004, geologists have uncovered evidence

of several massive tsunamis in buried sand layers

preserved in Sumatran caves. It turns out that the

deadly waves aren’t as rare in the Indian Ocean as

once thought. “We had five fatal tsunamis off the

coast of Sumatra prior to 2004,” said Paula Dunbar,

a scientist at NOAA’s National Geophysical Data

Center. Over the past 300 years, 69 tsunamis were

seen in the Indian Ocean, she said. Despite the risk,

there was no oceanwide tsunami warning system in

the region. Now, a $450 million early-alert network is

fully operational, though it is plagued with equipment

problems. Essentially built from scratch, the $450

million Indian Ocean Tsunami Warning System

includes more than 140 seismometers, about 100

sea-level gauges and several buoys that detect

tsunamis. More buoys were installed, but they have

been vandalized or accidentally destroyed. The

buoys and gauges help detect whether an earthquake

triggered a tsunami.

Getting the warnings down to people living in

remote coastal areas is one of the biggest hurdles

for the new system. Not all warnings reach the local

level. And not every tsunami earthquake is strong

enough to scare people away from shorelines. In

Sumatra’s Mentawai Islands, a 2010 tsunami killed

more than 400 people because residents failed to

evacuate in the short time between the earthquake

and the tsunami’s arrival. The shaking was simply not

strong enough to trigger people’s fear of tsunamis,

even though islanders had self-evacuated after a

2007 earthquake, according to an investigation by the

University of Southern California’s Tsunami Research

Center. There was also no clear-cut warning from the

regional tsunami alert system.

Another hurdle is learning how to accurately

forecast reflected tsunami waves. The 2004 Indian

Ocean tsunami ricocheted off island chains, and some

of the worst flooding arrived unexpectedly late in

places like Sri Lanka and Western Australia. “I found

a boat on the middle of the road, and at that point

knew it was a tsunami,” recalls Charitha Pattiaratchi,

a University of Western Australia tsunami expert who

was driving on a coastal Sri Lankan road on Dec. 26,

2004. “I came to the conclusion that I was safe. Well,

I was wrong. Twenty minutes later there was seven

meters of water where I had been standing, and two

hours later there were still more waves coming.”

A tsunami warning can go out just five minutes

after a submarine earthquake raises or lowers the

seafloor, thus launching a tsunami. For more detailed

predictions of the wave’s impact, such as the extent

of flooding, scientists rely on data collected by

seismometers, GPS stations, tide gauges and buoy

systems, which is relayed by satellite to warning

centers. Computer models then convert the data into

detailed tsunami simulations, which are based on

more than 2,000 real-life examples.

After an earthquake, scientists with NOAA’s

tsunami warning centers now spend about an hour

working out the details of a tsunami forecast, said

Vasily Titov, director of NOAA’s Center for Tsunami

Research. The results project when the wave will

arrive at shorelines and harbors, estimate tsunamiinduced

currents and gauge the height of the waves.

The agency’s goal is to dramatically reduce that hourlong

delay. “We’re now at the point where we want to

do it in five minutes,” Titov said. That means building

out the seismic network, getting a faster response

from the sea-level sensors and speeding up the

computer forecasts. “When these three components

come together, then we can save everybody,” Titov

said.

By Becky Oskin, Senior Writer. Adapted from http://www. livescience.com/49262-indian-ocean-tsunami-anniversary. html. December 26, 2014.

According to the second paragraph of the text (lines 9-21), one can arrive at the conclusion that

Vídeos associados (6) Ver comentários

Questão 12 123794
Médio 00:00

PUC- RJ G-(1,3,4) 2016/1
  • Inglês
  • Sugira
  • Reading/Writing Vocabulary
  • People and Relationships Report
  • Exibir tags
Resolução comentada

Tsunami science:

advances since the 2004 indian ocean tragedy

The Indian Ocean tsunami was one of the worst

natural disasters in history. Enormous waves struck

countries in South Asia and East Africa with little to

no warning, killing 243,000 people. The destruction

played out on television screens around the world,

fed by shaky home videos. The outpouring of aid in

response to the devastation in Indonesia, Sri Lanka,

Thailand and elsewhere was unprecedented.

The disaster raised awareness of tsunamis and

prompted nations to pump money into research

and warning systems. Today (Dec. 26), on the 10th

anniversary of the deadly tsunami, greatly expanded

networks of seismic monitors and ocean buoys are on

alert for the next killer wave in the Indian Ocean, the

Pacific and the Caribbean. In fact, tsunami experts

can now forecast how tsunamis will flood distant

coastlines hours before the waves arrive. But hurdles

remain in saving lives for everyone under the threat of

tsunamis. No amount of warning will help those who

need to seek immediate shelter away from beaches,

disaster experts said.

Since 2004, geologists have uncovered evidence

of several massive tsunamis in buried sand layers

preserved in Sumatran caves. It turns out that the

deadly waves aren’t as rare in the Indian Ocean as

once thought. “We had five fatal tsunamis off the

coast of Sumatra prior to 2004,” said Paula Dunbar,

a scientist at NOAA’s National Geophysical Data

Center. Over the past 300 years, 69 tsunamis were

seen in the Indian Ocean, she said. Despite the risk,

there was no oceanwide tsunami warning system in

the region. Now, a $450 million early-alert network is

fully operational, though it is plagued with equipment

problems. Essentially built from scratch, the $450

million Indian Ocean Tsunami Warning System

includes more than 140 seismometers, about 100

sea-level gauges and several buoys that detect

tsunamis. More buoys were installed, but they have

been vandalized or accidentally destroyed. The

buoys and gauges help detect whether an earthquake

triggered a tsunami.

Getting the warnings down to people living in

remote coastal areas is one of the biggest hurdles

for the new system. Not all warnings reach the local

level. And not every tsunami earthquake is strong

enough to scare people away from shorelines. In

Sumatra’s Mentawai Islands, a 2010 tsunami killed

more than 400 people because residents failed to

evacuate in the short time between the earthquake

and the tsunami’s arrival. The shaking was simply not

strong enough to trigger people’s fear of tsunamis,

even though islanders had self-evacuated after a

2007 earthquake, according to an investigation by the

University of Southern California’s Tsunami Research

Center. There was also no clear-cut warning from the

regional tsunami alert system.

Another hurdle is learning how to accurately

forecast reflected tsunami waves. The 2004 Indian

Ocean tsunami ricocheted off island chains, and some

of the worst flooding arrived unexpectedly late in

places like Sri Lanka and Western Australia. “I found

a boat on the middle of the road, and at that point

knew it was a tsunami,” recalls Charitha Pattiaratchi,

a University of Western Australia tsunami expert who

was driving on a coastal Sri Lankan road on Dec. 26,

2004. “I came to the conclusion that I was safe. Well,

I was wrong. Twenty minutes later there was seven

meters of water where I had been standing, and two

hours later there were still more waves coming.”

A tsunami warning can go out just five minutes

after a submarine earthquake raises or lowers the

seafloor, thus launching a tsunami. For more detailed

predictions of the wave’s impact, such as the extent

of flooding, scientists rely on data collected by

seismometers, GPS stations, tide gauges and buoy

systems, which is relayed by satellite to warning

centers. Computer models then convert the data into

detailed tsunami simulations, which are based on

more than 2,000 real-life examples.

After an earthquake, scientists with NOAA’s

tsunami warning centers now spend about an hour

working out the details of a tsunami forecast, said

Vasily Titov, director of NOAA’s Center for Tsunami

Research. The results project when the wave will

arrive at shorelines and harbors, estimate tsunamiinduced

currents and gauge the height of the waves.

The agency’s goal is to dramatically reduce that hourlong

delay. “We’re now at the point where we want to

do it in five minutes,” Titov said. That means building

out the seismic network, getting a faster response

from the sea-level sensors and speeding up the

computer forecasts. “When these three components

come together, then we can save everybody,” Titov

said.

By Becky Oskin, Senior Writer. Adapted from http://www. livescience.com/49262-indian-ocean-tsunami-anniversary. html. December 26, 2014.

In the sentence “The disaster raised awareness of tsunamis and prompted nations to pump money into research and warning systems.” (lines 9-11) , the word prompted means

Vídeos associados (6) Ver comentários

Questão 11 123793
Médio 00:00

PUC- RJ G-(1,3,4) 2016/1
  • Inglês
  • Sugira
  • Reading/Writing
  • Scientific article
  • Exibir tags
Resolução comentada

Tsunami science:

advances since the 2004 indian ocean tragedy

The Indian Ocean tsunami was one of the worst

natural disasters in history. Enormous waves struck

countries in South Asia and East Africa with little to

no warning, killing 243,000 people. The destruction

played out on television screens around the world,

fed by shaky home videos. The outpouring of aid in

response to the devastation in Indonesia, Sri Lanka,

Thailand and elsewhere was unprecedented.

The disaster raised awareness of tsunamis and

prompted nations to pump money into research

and warning systems. Today (Dec. 26), on the 10th

anniversary of the deadly tsunami, greatly expanded

networks of seismic monitors and ocean buoys are on

alert for the next killer wave in the Indian Ocean, the

Pacific and the Caribbean. In fact, tsunami experts

can now forecast how tsunamis will flood distant

coastlines hours before the waves arrive. But hurdles

remain in saving lives for everyone under the threat of

tsunamis. No amount of warning will help those who

need to seek immediate shelter away from beaches,

disaster experts said.

Since 2004, geologists have uncovered evidence

of several massive tsunamis in buried sand layers

preserved in Sumatran caves. It turns out that the

deadly waves aren’t as rare in the Indian Ocean as

once thought. “We had five fatal tsunamis off the

coast of Sumatra prior to 2004,” said Paula Dunbar,

a scientist at NOAA’s National Geophysical Data

Center. Over the past 300 years, 69 tsunamis were

seen in the Indian Ocean, she said. Despite the risk,

there was no oceanwide tsunami warning system in

the region. Now, a $450 million early-alert network is

fully operational, though it is plagued with equipment

problems. Essentially built from scratch, the $450

million Indian Ocean Tsunami Warning System

includes more than 140 seismometers, about 100

sea-level gauges and several buoys that detect

tsunamis. More buoys were installed, but they have

been vandalized or accidentally destroyed. The

buoys and gauges help detect whether an earthquake

triggered a tsunami.

Getting the warnings down to people living in

remote coastal areas is one of the biggest hurdles

for the new system. Not all warnings reach the local

level. And not every tsunami earthquake is strong

enough to scare people away from shorelines. In

Sumatra’s Mentawai Islands, a 2010 tsunami killed

more than 400 people because residents failed to

evacuate in the short time between the earthquake

and the tsunami’s arrival. The shaking was simply not

strong enough to trigger people’s fear of tsunamis,

even though islanders had self-evacuated after a

2007 earthquake, according to an investigation by the

University of Southern California’s Tsunami Research

Center. There was also no clear-cut warning from the

regional tsunami alert system.

Another hurdle is learning how to accurately

forecast reflected tsunami waves. The 2004 Indian

Ocean tsunami ricocheted off island chains, and some

of the worst flooding arrived unexpectedly late in

places like Sri Lanka and Western Australia. “I found

a boat on the middle of the road, and at that point

knew it was a tsunami,” recalls Charitha Pattiaratchi,

a University of Western Australia tsunami expert who

was driving on a coastal Sri Lankan road on Dec. 26,

2004. “I came to the conclusion that I was safe. Well,

I was wrong. Twenty minutes later there was seven

meters of water where I had been standing, and two

hours later there were still more waves coming.”

A tsunami warning can go out just five minutes

after a submarine earthquake raises or lowers the

seafloor, thus launching a tsunami. For more detailed

predictions of the wave’s impact, such as the extent

of flooding, scientists rely on data collected by

seismometers, GPS stations, tide gauges and buoy

systems, which is relayed by satellite to warning

centers. Computer models then convert the data into

detailed tsunami simulations, which are based on

more than 2,000 real-life examples.

After an earthquake, scientists with NOAA’s

tsunami warning centers now spend about an hour

working out the details of a tsunami forecast, said

Vasily Titov, director of NOAA’s Center for Tsunami

Research. The results project when the wave will

arrive at shorelines and harbors, estimate tsunamiinduced

currents and gauge the height of the waves.

The agency’s goal is to dramatically reduce that hourlong

delay. “We’re now at the point where we want to

do it in five minutes,” Titov said. That means building

out the seismic network, getting a faster response

from the sea-level sensors and speeding up the

computer forecasts. “When these three components

come together, then we can save everybody,” Titov

said.

By Becky Oskin, Senior Writer. Adapted from http://www. livescience.com/49262-indian-ocean-tsunami-anniversary. html. December 26, 2014.

The aim of the text is to

Vídeos associados (6) Ver comentários

Questão 45 123789
Médio 00:00

UNIFESP 2016
  • Inglês
  • Sugira
  • Reading/Writing
  • School report
  • Exibir tags
Resolução comentada

Poverty may hinder kids’ brain development, study says

Reduced gray matter, lower test scores reported for poor children

July 20, 2015

Poverty appears to affect the brain development of children, hampering the growth of gray matter and impairing their academic performance, researchers report. Poor children tend to have as much as 10 percent less gray matter in several areas of the brain associated with academic skills, according to a study published July 20 in JAMA Pediatrics. “We used to think of poverty as a ‘social’ issue, but what we are learning now is that it is a biomedical issue that is affecting brain growth,” said senior study author Seth Pollak, a professor of psychology, pediatrics, anthropology and neuroscience at the University of Wisconsin-Madison.

The results could have profound implications for the United States, where low-income students now represent the majority of kids in public schools, the study authors said in background information. Fifty-one percent of public school students came from low-income families in 2013.

Previous studies have shown that children living in poverty tend to perform poorly in school, the authors say. They have markedly lower test scores, and do not go as far in school as their well-off peers.

To see whether this is due to some physical effect that poverty might have on a child’s brain, Pollak and his colleagues analyzed MRI scans of 389 typically developing kids aged 4 to 22, assessing the amount of gray matter in the whole brain as well as the frontal lobe, temporal lobe and hippocampus. “Gray matter contains most of the brain’s neuronal cells,” Pollak said. “In other words, other parts of the brain – like white matter – carry information from one section of the brain to another. But the gray matter is where seeing and hearing, memory, emotions, speech, decision making and self-control occur.”

Children living below 150 percent of the federal poverty level – US$ 36,375 for a family of four – had 3 percent to 4 percent less gray matter in important regions of their brain, compared to the norm, the authors found. Those in families living below the federal poverty level fared even worse, with 8 percent to 10 percent less gray matter in those same brain regions. The federal poverty level in 2015 is US$ 24,250 for a family of four. These same kids scored an average of four to seven points lower on standardized tests, the researchers said.

The team estimated that as much as 20 percent of the gap in test scores could be explained by reduced brain development. A host of poverty-related issues likely contribute to developmental lags in children’s brains, Pollak said. Low-income kids are less likely to get the type of stimulation from their parents and environment that helps the brain grow, he said. For example, they hear fewer new words, and have fewer opportunities to read or play games. Their brain development also can be affected by factors related to impoverishment, such as high stress levels, poor sleep, crowding and poor nutrition, Pollak said.

This study serves as a call to action, given what’s already known about the effects of poverty on child development, said Dr. Joan Luby, a professor of child psychiatry at Washington University School of Medicine in St. Louis. “The thing that’s really important about this study in the context of the broader literature is that there really is enough scientific evidence to take public health action at this point,” said Luby, who wrote an editorial accompanying the study. “Poverty negatively affects brain development, and we also know that early interventions are powerfully effective,” Luby said. “They are more effective than interventions later in life, and they also are cost-effective.”

(www.nlm.nih.gov. Adaptado.)

A Dra. Joan Luby afirma que

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Poverty may hinder kids’ brain development, study says

Reduced gray matter, lower test scores reported for poor children

July 20, 2015

Poverty appears to affect the brain development of children, hampering the growth of gray matter and impairing their academic performance, researchers report. Poor children tend to have as much as 10 percent less gray matter in several areas of the brain associated with academic skills, according to a study published July 20 in JAMA Pediatrics. “We used to think of poverty as a ‘social’ issue, but what we are learning now is that it is a biomedical issue that is affecting brain growth,” said senior study author Seth Pollak, a professor of psychology, pediatrics, anthropology and neuroscience at the University of Wisconsin-Madison.

The results could have profound implications for the United States, where low-income students now represent the majority of kids in public schools, the study authors said in background information. Fifty-one percent of public school students came from low-income families in 2013.

Previous studies have shown that children living in poverty tend to perform poorly in school, the authors say. They have markedly lower test scores, and do not go as far in school as their well-off peers.

To see whether this is due to some physical effect that poverty might have on a child’s brain, Pollak and his colleagues analyzed MRI scans of 389 typically developing kids aged 4 to 22, assessing the amount of gray matter in the whole brain as well as the frontal lobe, temporal lobe and hippocampus. “Gray matter contains most of the brain’s neuronal cells,” Pollak said. “In other words, other parts of the brain – like white matter – carry information from one section of the brain to another. But the gray matter is where seeing and hearing, memory, emotions, speech, decision making and self-control occur.”

Children living below 150 percent of the federal poverty level – US$ 36,375 for a family of four – had 3 percent to 4 percent less gray matter in important regions of their brain, compared to the norm, the authors found. Those in families living below the federal poverty level fared even worse, with 8 percent to 10 percent less gray matter in those same brain regions. The federal poverty level in 2015 is US$ 24,250 for a family of four. These same kids scored an average of four to seven points lower on standardized tests, the researchers said.

The team estimated that as much as 20 percent of the gap in test scores could be explained by reduced brain development. A host of poverty-related issues likely contribute to developmental lags in children’s brains, Pollak said. Low-income kids are less likely to get the type of stimulation from their parents and environment that helps the brain grow, he said. For example, they hear fewer new words, and have fewer opportunities to read or play games. Their brain development also can be affected by factors related to impoverishment, such as high stress levels, poor sleep, crowding and poor nutrition, Pollak said.

This study serves as a call to action, given what’s already known about the effects of poverty on child development, said Dr. Joan Luby, a professor of child psychiatry at Washington University School of Medicine in St. Louis. “The thing that’s really important about this study in the context of the broader literature is that there really is enough scientific evidence to take public health action at this point,” said Luby, who wrote an editorial accompanying the study. “Poverty negatively affects brain development, and we also know that early interventions are powerfully effective,” Luby said. “They are more effective than interventions later in life, and they also are cost-effective.”

(www.nlm.nih.gov. Adaptado.)

According to the information presented in the sixth paragraph, brain growth is likely to occur due to

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