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(CNN) -- A blast of Arctic air Tuesday morning has much of the nation -- from the Great Lakes to Oregon and down to Texas -- in its cold, icy grip.

Snow covers a golf course in Summerlin, Nevada, near Las Vegas, on Monday.

The temperature at International Falls, Minnesota, was 26 below zero at 8 a.m. Tuesday, the National Weather Service said.

To the south in Minneapolis, below-zero temperatures were leaving roadways covered in black ice, sending drivers spinning into numerous accidents, CNN affiliate KARE-TV reported Tuesday.

Black ice, nearly invisible on roads, can form when car exhaust freezes on snow-covered pavement in sub-zero conditions, KARE said. Twin Cities drivers could find a little hope in the day's forecast high -- 4 degrees above zero by the afternoon.

Temperatures hovering as low as 23 below zero have parts of Montana frozen in their tracks, according to CNN affiliate KFBB-TV.

The forecast high Tuesday for Great Falls: 5 degrees.

But regions of the nation far from Montana, and not as well equipped to deal with wintry weather, are also caught in the cold blast.  Watch the mess in Portland, Oregon Â»

WFAA-TV in Dallas, Texas, predicts the temperature will barely get above freezing, to 36 degrees, on Tuesday. A winter weather advisory is in effect for northern Texas.

In Las Vegas, Nevada, residents saw a rare snow accumulation.

Snow-covered grounds were a treat for iReporter Rena Moretti, who's lived in Las Vegas on and off for about 10 years.

"It's unbelievable. If it snows it never sticks. I've never seen it like that," she said.   Watch snow delight skiers but frustrate motorists in Nevada Â»  In Denver, Colorado, where the temperature was minus 4, KMGH warned residents to expect more snow, with 2 to 3 feet expected in some parts of the Rocky Mountains.  Watch ice cause havoc on Colorado roads Â»

While the snow is forecast to end Tuesday, the cold air mass should stick around all week. The station also warned commuters that driving would be a mess Tuesday morning.

In Omaha, Nebraska, the frigid weather had shelters sending out crews looking for the homeless, according to KMTV.  Watch blizzards shut down North Dakota Â»

"We've had people that have been trying to make it here ... either have been too intoxicated or just too cold and just fallen down and haven't been able to make it," says Siena Francis House worker and guest Jerry Rayburn.

According to the National Weather Service, the entire state of Iowa could be in for heavy snowfall Tuesday. Chicago, Illinois, no stranger to cold weather, is expecting a high of 22 degrees with snow, according to WGN.

Meanwhile, on a frontal boundary, West Virginia and western Tennessee are on the alert for possible freezing rain, the weather service reports. And KATV in Little Rock, Arkansas, said freezing rain and sleet were moving across the state.

In New England, socked by a powerful ice storm last week, temperatures were warming back up into in the 40s and 50s, WCVB in Boston, Massachusetts, reported.

But electricity may not be restored to some customers until the weekend, the station reported.

One town, Lunenberg, Massachusetts, said school students would be getting an extended Christmas break, with classes not resuming until the new year, WCVB reported. Debris-clogged roads were blamed.

"They're passable for vehicles and emergency vehicles, but they're not passable for buses. That represents a danger, so, we can't get the kids safely to school, even if we were able to open school," School Superintendent Loxi Joe Calmes said, accoding to WCVB.

Meanwhile, a cold, wet storm blew into Southern California. Twenty-four-hour rainfall totals were 1.44 inches at Los Angeles International Airport, almost 1 inch in Palm Springs, and an inch in San Diego, the weather service reported Tuesday morning. iReporters share their weather observations

Where is it not so cold? It was 69 degrees in Miami, Florida, early Tuesday morning, according to WFOR.

The price for the warm weather -- possible thunderstorms, says the National Weather Service.

text: CNN

text: A

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text: Rayburn

text: According

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text: the

text: National

text: Weather

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text: the

text: entire

text: state

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text: Iowa

text: could

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text: weather

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text: Rock

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text: and

text: WCVB

text: in

text: Boston

text: Massachusetts

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text: electricity

text: may

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text: customers

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text: weekend

text: the

text: station

text: reported

text: One

text: town

text: Lunenberg

text: Massachusetts

text: said

text: school

text: students

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text: extended

text: Christmas

text: break

text: with

text: classes

text: not

text: resuming

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text: new

text: year

text: WCVB

text: reported

text: Debris

text: clogged

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text: were

text: blamed

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text: passable

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text: emergency

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text: Joe

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text: said

text: accoding

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text: WCVB

text: Meanwhile

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text: cold

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text: storm

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text: iReporters

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text: was

text: degrees

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text: The

text: price

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text: warm

text: weather

text: possible

text: thunderstorms

text: says

text: the

text: National

text: Weather

text: Service

question: What is affecting a large swath of the US?

answer: blast of Arctic air

text: blast of Arctic air

question: Which areas are in a wintry grip?

answer: and down to Texas

text: and down to Texas

question: What caused the city to close schools?

answer: ed. Debris-clogged ro

text: ed. Debris-clogged ro

question: What is plaguing Minneapolis?

answer: black ice,

text: black ice,

question: Where is the black ice located?

answer: Minneapolis,

text: Minneapolis,

question: What color are the Ice plagues?

answer: black

text: black

question: What has happened to the schools?

answer: ith classes not resuming until the new ye

text: ith classes not resuming until the new ye


text:
Port-au-Prince, Haiti (CNN)  -- The scene was horrific, the stench unmistakable. Sadly, it was nothing new here. But because it unfolded so many days after the earthquake that took at least 112,000 lives, it was shocking.

Three bodies trapped in a crushed taxi. A man, two women. Set ablaze.

Even for those who have witnessed so much these past 13 days, the torching of the Toyota in the capital's central plaza Monday was difficult to take in. It highlighted one of Haiti's many quandaries: how to dispose of bodies.

The taxi had been smashed by collapsing concrete during the devastating earthquake, and the bodies were decomposing in tropical temperatures, the smell unbearable to the thousands who have temporarily sought shelter under tarpaulins and tents across the street at the Champs de Mars plaza.

The foul smell prompted people to dig the car out of the rubble, but those living on the street in the area said disposal trucks never arrived to take the bodies away.

"They couldn't find anyone to dispose of the bodies so they had to burn them," said Gidel Fellmon.

In the days after the January 12 quake, Haitians and rescue and relief crews have struggled to find proper disposal methods for bodies. Thousands of corpses have been pulled from the rubble and burned. Bodies have been bulldozed and dumped into open pits.

Find loved ones in Haiti | Full coverage

At one of the capital city's cemeteries, people opened up old crypts and shoved corpses into them before resealing them. Workers loaded bodies -- piled on the sides of roads -- into the basket of a front-loader tractor, which then deposited them into blood-stained dump trucks, according to CNN correspondents.

On Monday, as the taxi burned, people stood stoically around the charred flesh and exposed bones.

Two pairs of shoes lay in the car's twisted metal.

Interactive map: Where to find aid

text: Port

text: au

text: Prince

text: Haiti

text: CNN

text: The

text: scene

text: was

text: horrific

text: the

text: stench

text: unmistakable

text: Sadly

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text: was

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text: new

text: here

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text: days

text: after

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text: earthquake

text: that

text: took

text: at

text: least

text: lives

text: it

text: was

text: shocking

text: Three

text: bodies

text: trapped

text: in

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text: crushed

text: taxi

text: A

text: man

text: two

text: women

text: Set

text: ablaze

text: Even

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text: so

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text: past

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text: torching

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text: Toyota

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text: capital

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text: central

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text: Monday

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text: Haiti

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text: many

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text: The

text: taxi

text: had

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text: by

text: collapsing

text: concrete

text: during

text: the

text: devastating

text: earthquake

text: and

text: the

text: bodies

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text: in

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text: unbearable

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text: thousands

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text: and

text: tents

text: across

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text: street

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text: Champs

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text: prompted

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text: car

text: out

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text: the

text: rubble

text: but

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text: never

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text: bodies

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text: Gidel

text: Fellmon

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text: days

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text: the

text: January

text: quake

text: Haitians

text: and

text: rescue

text: and

text: relief

text: crews

text: have

text: struggled

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text: disposal

text: methods

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text: Thousands

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text: corpses

text: have

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text: and

text: burned

text: Bodies

text: have

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text: and

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text: pits

text: Find

text: loved

text: ones

text: in

text: Haiti

text: Full

text: coverage

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text: one

text: of

text: the

text: capital

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text: 's

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text: shoved

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text: into

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text: before

text: resealing

text: them

text: Workers

text: loaded

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text: the

text: sides

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text: roads

text: into

text: the

text: basket

text: of

text: a

text: front

text: loader

text: tractor

text: which

text: then

text: deposited

text: them

text: into

text: blood

text: stained

text: dump

text: trucks

text: according

text: to

text: CNN

text: correspondents

text: On

text: Monday

text: as

text: the

text: taxi

text: burned

text: people

text: stood

text: stoically

text: around

text: the

text: charred

text: flesh

text: and

text: exposed

text: bones

text: Two

text: pairs

text: of

text: shoes

text: lay

text: in

text: the

text: car

text: 's

text: twisted

text: metal

text: Interactive

text: map

text: Where

text: to

text: find

text: aid

question: what was unbearable

answer: the smell

text: the smell

question: What never arrived to take bodies away?

answer: disposal trucks

text: disposal trucks

question: where is port-au-prince

answer: Haiti

text: Haiti

question: where bodies was found

answer: crushed taxi.

text: crushed taxi.

question: how many bodies was trapped

answer: Three

text: Three

question: What had been unbearable?

answer: the smell

text: the smell

question: How many bodies were trapped in a crushed taxi?

answer: Three

text: Three

question: how many bodies

answer: Three

text: Three

question: what never arrived

answer: disposal trucks

text: disposal trucks


text:
(CNN) -- A man sees a 75-year-old man stuck on railroad tracks and pulls him to safety. An off-duty emergency worker pulls a woman from a van after it crashes into an icy pond. An NBA star saves a woman from drowning.

A postal worker helps a mother whose baby is unconscious. A father goes into a house engulfed in flames to save two of his children, then returns to save the family's pet.

These are examples of everyday people who, when confronted with a life-or-death situation, jumped in to do what they could -- and became rescuers and heroes.

CNN.com takes a look at some of the stories of heroic acts that happened throughout the country in the past 12 months.

Do you know someone who's an everyday hero? Tell us about them on CNN iReport

NBA player saves woman from drowning

DontÃ© Greene is used to being looked up to. He is a 6-foot-11 player for the Sacramento Kings of the NBA. But on Memorial Day he became a lifesaver.

Greene and some friends were on a boat in the American River near Discovery Park in Sacramento, California. Greene told CNN affiliate KCRA that he heard some yelling and then a splash.

A woman had been pulling a ladder onto her boat, and she was thrown into the water when the driver pulled away. Greene saw the woman flailing in the water and dived in.

"I honestly don't even think I was thinking -- I was just reacting," he told KCRA. "I was pretty confident in my swimming abilities."

Read the story at the KCRA web site

Off-duty EMT makes icy pond rescue

Tony Gerdom, an emergency medical worker from Iowa, was driving off-duty on December 7 when the van in front of him suddenly swerved off the icy road and fell into a pond. The cold weather had frozen the locks and windows on the van, trapping driver Kathy Van Steenvik.

Gerdom took a tire iron and smashed the van's passenger side window to free the driver. A second man, Brian Ford, held onto him with a rope while Gerdom descended into the pond. Each man shrugged off his hero label.

"I'm just the lucky idiot that jumped in first," Gerdom told CNN affiliate WHO in Des Moines, Iowa.

"No matter how cold the water was, it's this overwhelming feeling that I helped save a life. It's tremendous," Ford said.

All three were treated at a hospital for minor hypothermia.

Read the story at the WHO web site

Postman delivers CPR to save baby

In Sacramento, California, Robert Sweeney had just about finished delivering the mail on December 11, 2008, when he heard a panicked mother's cry for help.

Her baby, 19-month-old Kelly Jimenez, appeared lifeless. Sweeney took the child, placed her on the grass in front of the woman's home and performed CPR while neighbors called 911. Sweeney revived the child before paramedics arrived, CNN affiliate KCRA reported.

Sweeney told KCRA that the emotion of the moment didn't hit him until he got back in his truck to go home. That's when he started crying.

"You don't ever think you would be in a situation like that," he said.

Read the story at the KCRA web site

Father saves children, family dog from burning home

A Michigan father jumped through flames to save his two youngest sons when an electrical fire set their house ablaze December 7.

Investigators told CNN affiliate WZZM in Grand Rapids, Michigan, that sparks from an electrical outlet set a living room curtain on fire.

After climbing up pitch-black stairs to rescue his 4-year-old and 2-year-old boys, Jonathan Brito went back in the house and pulled out Punchy, the family's dog, who was unconscious. Brito performed CPR and revived the dog, Brito's wife, Charlene Hernandez, told the station.

"He got the dog to breathe," she said. "[Punchy] coughed up some smoke and took off running."

Brito and Hernandez's other two children were at school when the fire started. The couple, who both work night-shift jobs, lost their clothes, furniture and some Christmas presents.

"Thank goodness everybody got out of the house safely," Brito said. "If I've got to jump through fire to save my kids' lives, that's what I'm going to do."

Read the story at the WZZM web site

Men honored for saving driver from tanker fire

Truck driver Ronald Tobias, 73, of Syracuse, Indiana, was trapped after his propane tanker truck flipped on its side and exploded. But rather than running from the flames, two people headed toward them.

Lonnie Hood, 30, from Acton, Indiana, and Robert Skaggs, 49, from Fortville, Indiana, each decided they had to try to help save Tobias on October 22. Hood was working on a nearby construction job and ran over. Skaggs was in his car on Interstate 465 when he saw flames behind him, stopped, and put his car in reverse.

"I just jumped off [a second-story roof] and ran to it. I don't know, I was kind of feeling something telling me to get over there," Hood told CNN affiliate WRTV of Indianapolis.

"I just kicked [the window] real hard and it went right in, and I just grabbed him up, me and another guy, and pulled him up to higher ground."

Added Skaggs, "For some reason, I just jerked the car off to the side, threw it in reverse and took off backwards toward it."

For their actions, they were awarded the Governor's Heroism Award by Indiana Gov. Mitch Daniels.

Read the story at the WRTV web site

Bomb suspect hailed for railroad track rescue

Michael Woodson had already made news in Brevard County, Florida, as a bombing suspect when he rushed to help a man about to be run over by a train in April.

Woodson, 21, had been accused of filling a liquor bottle with black powder and setting it off at Brevard Community College to get out of class.

But in April he saved Michael Chergosky, 75, who was trying to cross railroad tracks in a motorized scooter.

Chergosky's scooter had become stuck in gravel, and Woodson ran over to pull the man to safety as a train approached, reported CNN affiliate WFTV in Orlando, Florida.

"As soon as I got to him I grabbed him out by the back of his collar, pulled him out of his wheelchair. [The train] missed him by four or five inches," Woodson told the station.

Several witnesses saw the rescue, and police said there's no doubt Woodson saved Chergosky, the station reported.

Read more about the rescue at the WFTV web site

The station reported later that Woodson was sentenced to probation, 15 weekends of work at a sheriff's work farm and banned from the school in a plea deal. The heroic deed was not mentioned in court, the station said.

Woodson said he never intended for the device to blow up, that it was just supposed to let off some smoke. The judge, who could have sentenced him to 15 years in prison, told Woodson he was lucky no one was injured.

"I hope that each and every day when you are standing out there in the sun you contemplate where your life could have gone if something else had happened," the judge said.

Read more about the case at the WFTV web site

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text: could

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text: gone

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text: else

text: had

text: happened

text: the

text: judge

text: said

text: Read

text: more

text: about

text: the

text: case

text: at

text: the

text: WFTV

text: web

text: site

question: Who does the emergency worker help?

answer: pulls a woman from a van after it crashes into an icy pond.

text: pulls a woman from a van after it crashes into an icy pond.

question: Who does the man help?

answer: 75-year-old

question: Who does the postal worker help?

answer: a mother whose baby is unconscious.

text: a mother whose baby is unconscious.

question: Man sees 75-year-old stuckwhere?

answer: on railroad tracks

text: on railroad tracks

question: A postal worker helps who?

answer: a mother whose baby is unconscious.

text: a mother whose baby is unconscious.


text:
LONDON, England (CNN)  -- Madame Tussauds unveiled a wax figure of Michael Jackson on Thursday, showing the late entertainer in a pose from the concerts he had planned to hold this month.

The new waxwork of Michael Jackson -- only Queen Elizabeth II has been portrayed more times by Madame Tussauds.

Sculptors at the wax museum started working on the figure four months ago. They had intended to display it this month, to coincide with the start of Jackson's "This is It" comeback tour in London.

The new figure is modeled on a Jackson pose from the concert poster, the museum said. It shows him "arms outstretched, pelvis thrusting and tip-toed, with his trademark trilby angled forward," the museum said.

It is the 13th Jackson waxwork by Madame Tussauds, the museum said. Only Britain's Queen Elizabeth II -- who has been on the throne for almost 60 years -- has been portrayed more often.

"It is extremely unusual for a personality to have been portrayed so many times," said Madame Tussauds spokeswoman Liz Edwards.

"But Michael Jackson was totally unique and his iconic status made him one of the most popular stars here."

The London museum has two other Jackson waxworks -- one in a pose from "Thriller" and another from his "Dangerous" album. The other 10 Jackson waxworks are in other Madame Tussauds museums around the world.

The museum said it decided to proceed with the figure after Jackson's death last month "as a tribute to one of the greatest musicians of all time and to celebrate his amazing 40-year career."

text: LONDON

text: England

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text: stars

text: here

text: The

text: London

text: museum

text: has

text: two

text: other

text: Jackson

text: waxworks

text: one

text: in

text: a

text: pose

text: from

text: Thriller

text: and

text: another

text: from

text: his

text: Dangerous

text: album

text: The

text: other

text: Jackson

text: waxworks

text: are

text: in

text: other

text: Madame

text: Tussauds

text: museums

text: around

text: the

text: world

text: The

text: museum

text: said

text: it

text: decided

text: to

text: proceed

text: with

text: the

text: figure

text: after

text: Jackson

text: 's

text: death

text: last

text: month

text: as

text: a

text: tribute

text: to

text: one

text: of

text: the

text: greatest

text: musicians

text: of

text: all

text: time

text: and

text: to

text: celebrate

text: his

text: amazing

text: career

question: who is the maxwork of

answer: Michael Jackson

text: Michael Jackson

question: where was the waxwork unveiled

answer: Madame Tussauds

text: Madame Tussauds

question: Who has been portrayed more often?

answer: Queen Elizabeth II

text: Queen Elizabeth II

question: Only who has been portrayed more often by the museum?

answer: Queen Elizabeth II

text: Queen Elizabeth II

question: how many other waxworks of jackson have their been

answer: 13th

question: Which reason was given for the latest waxwork?

answer: "as a tribute to one of the greatest musicians of all time and to celebrate his amazing 40-year career."

text: "as a tribute to one of the greatest musicians of all time and to celebrate his amazing 40-year career."

question: Who is the waxwork of?

answer: Michael Jackson

text: Michael Jackson

question: How many waxworks of Jackson have been displayed in the tourist attraction?

answer: 13th


text:
Austin, Texas (CNN) -- The man who flew an airplane into a building housing an Internal Revenue Service office may have replaced some of its seats with a drum of fuel to cause maximum damage, a law enforcement official familiar with the investigation said Friday.

The official, who would not speak on the record because it is an ongoing case, said investigators have determined that the Piper Cherokee PA-28 had several seats removed and that a fuel drum was missing from the airport from which Andrew Joseph "Joe" Stack III took off Thursday morning.

"I think there is a good chance he might have put it on his plane," said the official, who cautioned that investigators were still working that lead and sifting through the crash site.

The single-engine plane has a fuel tank capacity of 38 gallons and is equipped with four seats, according to the Web site risingup.com.

The FBI said Friday it has taken the lead role in the investigation of Thursday's crash into the 7-story building in northwest Austin that held offices for nearly 200 IRS workers.

"You're talking about a federal agency that was basically assaulted," Ralph Diaz, special agent in charge of the FBI's San Antonio, Texas, field office, told reporters.

Two people were killed and two others were hospitalized, federal officials said.

Though the remains found in the IRS building have been identified, their identities will not be revealed until after a forensic examination, Diaz said Friday.

"One may be Mr. Stack and our fear is certainly the other would be either someone who was visiting or someone who was employed in the building," he said.

Emergency services chief Ernie Rodriguez said one of the injured was treated and released; the other remained hospitalized.

City of Austin Fire Chief Rhoda Mae Kerr credited the building's fire protection, fast work by the Fire Department and the fact that the employees had practiced exiting the building in case of an emergency for the low loss of life and injuries. "It truly worked," she said.

Austin attack stuns community

Rodriguez said units arrived on the scene within five minutes of the first 911 call prepared to manage hundreds of injured people. "We found only two persons," he said.

"When you look at the fire, when you look at the evidence, it's hard to say that we were lucky, but we were," he said. "The big thing to remember is that yesterday, in the midst of this event, God's grace was upon us."

Austin Police Chief Art Acevedo credited fast thinking by some people who were inside the building as the plane approached for the fact that few people were hurt. "Some folks saw it coming and sounded the alarm yesterday, and some folks started running away from that side of the building," he said.

Stack's wife, Sheryl Stack, expressed her "sincere sympathy to the victims and their families" Friday.

"Words cannot adequately express the sorrow or the sympathy I feel for everyone affected by this unimaginable tragedy," she said in a statement read by a family friend, Rayford Walker.

Authorities say Stack also torched his $230,000 home in Austin on Thursday morning before embarking on his fatal flight.

Police said Sheryl Stack spent Wednesday night in an Austin-area hotel but did not say why. Acevedo said police had received no calls of domestic violence from the house. The only calls to police were made a couple of years ago and concerned barking dogs, he said.

A 3,000-word message on a Web site registered to Stack railed against the government, particularly the IRS.

Read the apparent suicide note (PDF)

"I saw it written once that the definition of insanity is repeating the same process over and over and expecting the outcome to suddenly be different," the online message says. "I am finally ready to stop this insanity. Well, Mr. Big Brother IRS man, let's try something different; take my pound of flesh and sleep well."

Acevedo reiterated on Friday his assertion first made Thursday that the incident was not an act of terrorism. "Part of our jobs in law enforcement is not to overreact and cause undue panic," he said. "And with the information that we had, there was no need to alarm our colleagues around the country and community members by using the word 'terrorism.' That is why definitely I did not use it yesterday and I'm not using it today."

An IRS criminal investigator visited Stack's accountant after Thursday's events, leaving a business card on the CPA's front door. The online message believed to have been written by Stack mentions accountant Bill Ross, saying it had become "brutally evident that he was representing himself and not me."

Watch what Stack's writing reveals about him

IRS investigator James L. Neff said that Ross is not under investigation; officials just wanted to make sure he was OK. "We didn't know if he was alive or dead," Neff said.

Ross, who did not return a call from CNN, was fine, the investigator said.

Friends and former colleagues said Friday they had no inkling of the rage apparently building inside Stack.

"He hid that very well," said Billy Eli, in whose band Stack played bass until a few years ago. "Obviously he was in some serious distress and had some real despair. I never saw that."

Neither did another former bandmate, Ric Furley.

Watch how bandmates remember Stack

"I never saw him in a bad mood or speaking negatively about anything or anyone," Furley told CNN's "American Morning."

"This has been such a shock because it was totally out of character with the Joe Stack I played with for three years," said Eli.

"We liked him," said Furley. "We liked him."

Share information about the crash and the pilot

An IRS spokesman said federal law prohibits the agency from releasing information about any interactions the agency may have had with Stack.

The IRS issued a statement Friday saying tax returns will not be delayed.

CNN's David Mattingly, Ed Lavandera and Carol Cratty contributed to this report.

text: Austin

text: Texas

text: CNN

text: The

text: man

text: who

text: flew

text: an

text: airplane

text: into

text: a

text: building

text: housing

text: an

text: Internal

text: Revenue

text: Service

text: office

text: may

text: have

text: replaced

text: some

text: of

text: its

text: seats

text: with

text: a

text: drum

text: of

text: fuel

text: to

text: cause

text: maximum

text: damage

text: a

text: law

text: enforcement

text: official

text: familiar

text: with

text: the

text: investigation

text: said

text: Friday

text: The

text: official

text: who

text: would

text: not

text: speak

text: on

text: the

text: record

text: because

text: it

text: is

text: an

text: ongoing

text: case

text: said

text: investigators

text: have

text: determined

text: that

text: the

text: Piper

text: Cherokee

text: had

text: several

text: seats

text: removed

text: and

text: that

text: a

text: fuel

text: drum

text: was

text: missing

text: from

text: the

text: airport

text: from

text: which

text: Andrew

text: Joseph

text: Joe

text: Stack

text: III

text: took

text: off

text: Thursday

text: morning

text: I

text: think

text: there

text: is

text: a

text: good

text: chance

text: he

text: might

text: have

text: put

text: it

text: on

text: his

text: plane

text: said

text: the

text: official

text: who

text: cautioned

text: that

text: investigators

text: were

text: still

text: working

text: that

text: lead

text: and

text: sifting

text: through

text: the

text: crash

text: site

text: The

text: single

text: engine

text: plane

text: has

text: a

text: fuel

text: tank

text: capacity

text: of

text: gallons

text: and

text: is

text: equipped

text: with

text: four

text: seats

text: according

text: to

text: the

text: Web

text: site

text: risingup.com

text: The

text: FBI

text: said

text: Friday

text: it

text: has

text: taken

text: the

text: lead

text: role

text: in

text: the

text: investigation

text: of

text: Thursday

text: 's

text: crash

text: into

text: the

text: building

text: in

text: northwest

text: Austin

text: that

text: held

text: offices

text: for

text: nearly

text: IRS

text: workers

text: You

text: 're

text: talking

text: about

text: a

text: federal

text: agency

text: that

text: was

text: basically

text: assaulted

text: Ralph

text: Diaz

text: special

text: agent

text: in

text: charge

text: of

text: the

text: FBI

text: 's

text: San

text: Antonio

text: Texas

text: field

text: office

text: told

text: reporters

text: Two

text: people

text: were

text: killed

text: and

text: two

text: others

text: were

text: hospitalized

text: federal

text: officials

text: said

text: Though

text: the

text: remains

text: found

text: in

text: the

text: IRS

text: building

text: have

text: been

text: identified

text: their

text: identities

text: will

text: not

text: be

text: revealed

text: until

text: after

text: a

text: forensic

text: examination

text: Diaz

text: said

text: Friday

text: One

text: may

text: be

text: Mr.

text: Stack

text: and

text: our

text: fear

text: is

text: certainly

text: the

text: other

text: would

text: be

text: either

text: someone

text: who

text: was

text: visiting

text: or

text: someone

text: who

text: was

text: employed

text: in

text: the

text: building

text: he

text: said

text: Emergency

text: services

text: chief

text: Ernie

text: Rodriguez

text: said

text: one

text: of

text: the

text: injured

text: was

text: treated

text: and

text: released

text: the

text: other

text: remained

text: hospitalized

text: City

text: of

text: Austin

text: Fire

text: Chief

text: Rhoda

text: Mae

text: Kerr

text: credited

text: the

text: building

text: 's

text: fire

text: protection

text: fast

text: work

text: by

text: the

text: Fire

text: Department

text: and

text: the

text: fact

text: that

text: the

text: employees

text: had

text: practiced

text: exiting

text: the

text: building

text: in

text: case

text: of

text: an

text: emergency

text: for

text: the

text: low

text: loss

text: of

text: life

text: and

text: injuries

text: It

text: truly

text: worked

text: she

text: said

text: Austin

text: attack

text: stuns

text: community

text: Rodriguez

text: said

text: units

text: arrived

text: on

text: the

text: scene

text: within

text: five

text: minutes

text: of

text: the

text: first

text: call

text: prepared

text: to

text: manage

text: hundreds

text: of

text: injured

text: people

text: We

text: found

text: only

text: two

text: persons

text: he

text: said

text: When

text: you

text: look

text: at

text: the

text: fire

text: when

text: you

text: look

text: at

text: the

text: evidence

text: it

text: 's

text: hard

text: to

text: say

text: that

text: we

text: were

text: lucky

text: but

text: we

text: were

text: he

text: said

text: The

text: big

text: thing

text: to

text: remember

text: is

text: that

text: yesterday

text: in

text: the

text: midst

text: of

text: this

text: event

text: God

text: 's

text: grace

text: was

text: upon

text: us

text: Austin

text: Police

text: Chief

text: Art

text: Acevedo

text: credited

text: fast

text: thinking

text: by

text: some

text: people

text: who

text: were

text: inside

text: the

text: building

text: as

text: the

text: plane

text: approached

text: for

text: the

text: fact

text: that

text: few

text: people

text: were

text: hurt

text: Some

text: folks

text: saw

text: it

text: coming

text: and

text: sounded

text: the

text: alarm

text: yesterday

text: and

text: some

text: folks

text: started

text: running

text: away

text: from

text: that

text: side

text: of

text: the

text: building

text: he

text: said

text: Stack

text: 's

text: wife

text: Sheryl

text: Stack

text: expressed

text: her

text: sincere

text: sympathy

text: to

text: the

text: victims

text: and

text: their

text: families

text: Friday

text: Words

text: can

text: not

text: adequately

text: express

text: the

text: sorrow

text: or

text: the

text: sympathy

text: I

text: feel

text: for

text: everyone

text: affected

text: by

text: this

text: unimaginable

text: tragedy

text: she

text: said

text: in

text: a

text: statement

text: read

text: by

text: a

text: family

text: friend

text: Rayford

text: Walker

text: Authorities

text: say

text: Stack

text: also

text: torched

text: his

text: home

text: in

text: Austin

text: on

text: Thursday

text: morning

text: before

text: embarking

text: on

text: his

text: fatal

text: flight

text: Police

text: said

text: Sheryl

text: Stack

text: spent

text: Wednesday

text: night

text: in

text: an

text: Austin

text: area

text: hotel

text: but

text: did

text: not

text: say

text: why

text: Acevedo

text: said

text: police

text: had

text: received

text: no

text: calls

text: of

text: domestic

text: violence

text: from

text: the

text: house

text: The

text: only

text: calls

text: to

text: police

text: were

text: made

text: a

text: couple

text: of

text: years

text: ago

text: and

text: concerned

text: barking

text: dogs

text: he

text: said

text: A

text: message

text: on

text: a

text: Web

text: site

text: registered

text: to

text: Stack

text: railed

text: against

text: the

text: government

text: particularly

text: the

text: IRS

text: Read

text: the

text: apparent

text: suicide

text: note

text: PDF

text: I

text: saw

text: it

text: written

text: once

text: that

text: the

text: definition

text: of

text: insanity

text: is

text: repeating

text: the

text: same

text: process

text: over

text: and

text: over

text: and

text: expecting

text: the

text: outcome

text: to

text: suddenly

text: be

text: different

text: the

text: online

text: message

text: says

text: I

text: am

text: finally

text: ready

text: to

text: stop

text: this

text: insanity

text: Well

text: Mr.

text: Big

text: Brother

text: IRS

text: man

text: let

text: 's

text: try

text: something

text: different

text: take

text: my

text: pound

text: of

text: flesh

text: and

text: sleep

text: well

text: Acevedo

text: reiterated

text: on

text: Friday

text: his

text: assertion

text: first

text: made

text: Thursday

text: that

text: the

text: incident

text: was

text: not

text: an

text: act

text: of

text: terrorism

text: Part

text: of

text: our

text: jobs

text: in

text: law

text: enforcement

text: is

text: not

text: to

text: overreact

text: and

text: cause

text: undue

text: panic

text: he

text: said

text: And

text: with

text: the

text: information

text: that

text: we

text: had

text: there

text: was

text: no

text: need

text: to

text: alarm

text: our

text: colleagues

text: around

text: the

text: country

text: and

text: community

text: members

text: by

text: using

text: the

text: word

text: terrorism

text: That

text: is

text: why

text: definitely

text: I

text: did

text: not

text: use

text: it

text: yesterday

text: and

text: I

text: 'm

text: not

text: using

text: it

text: today

text: An

text: IRS

text: criminal

text: investigator

text: visited

text: Stack

text: 's

text: accountant

text: after

text: Thursday

text: 's

text: events

text: leaving

text: a

text: business

text: card

text: on

text: the

text: CPA

text: 's

text: front

text: door

text: The

text: online

text: message

text: believed

text: to

text: have

text: been

text: written

text: by

text: Stack

text: mentions

text: accountant

text: Bill

text: Ross

text: saying

text: it

text: had

text: become

text: brutally

text: evident

text: that

text: he

text: was

text: representing

text: himself

text: and

text: not

text: me

text: Watch

text: what

text: Stack

text: 's

text: writing

text: reveals

text: about

text: him

text: IRS

text: investigator

text: James

text: L.

text: Neff

text: said

text: that

text: Ross

text: is

text: not

text: under

text: investigation

text: officials

text: just

text: wanted

text: to

text: make

text: sure

text: he

text: was

text: OK

text: We

text: did

text: n't

text: know

text: if

text: he

text: was

text: alive

text: or

text: dead

text: Neff

text: said

text: Ross

text: who

text: did

text: not

text: return

text: a

text: call

text: from

text: CNN

text: was

text: fine

text: the

text: investigator

text: said

text: Friends

text: and

text: former

text: colleagues

text: said

text: Friday

text: they

text: had

text: no

text: inkling

text: of

text: the

text: rage

text: apparently

text: building

text: inside

text: Stack

text: He

text: hid

text: that

text: very

text: well

text: said

text: Billy

text: Eli

text: in

text: whose

text: band

text: Stack

text: played

text: bass

text: until

text: a

text: few

text: years

text: ago

text: Obviously

text: he

text: was

text: in

text: some

text: serious

text: distress

text: and

text: had

text: some

text: real

text: despair

text: I

text: never

text: saw

text: that

text: Neither

text: did

text: another

text: former

text: bandmate

text: Ric

text: Furley

text: Watch

text: how

text: bandmates

text: remember

text: Stack

text: I

text: never

text: saw

text: him

text: in

text: a

text: bad

text: mood

text: or

text: speaking

text: negatively

text: about

text: anything

text: or

text: anyone

text: Furley

text: told

text: CNN

text: 's

text: American

text: Morning

text: This

text: has

text: been

text: such

text: a

text: shock

text: because

text: it

text: was

text: totally

text: out

text: of

text: character

text: with

text: the

text: Joe

text: Stack

text: I

text: played

text: with

text: for

text: three

text: years

text: said

text: Eli

text: We

text: liked

text: him

text: said

text: Furley

text: We

text: liked

text: him

text: Share

text: information

text: about

text: the

text: crash

text: and

text: the

text: pilot

text: An

text: IRS

text: spokesman

text: said

text: federal

text: law

text: prohibits

text: the

text: agency

text: from

text: releasing

text: information

text: about

text: any

text: interactions

text: the

text: agency

text: may

text: have

text: had

text: with

text: Stack

text: The

text: IRS

text: issued

text: a

text: statement

text: Friday

text: saying

text: tax

text: returns

text: will

text: not

text: be

text: delayed

text: CNN

text: 's

text: David

text: Mattingly

text: Ed

text: Lavandera

text: and

text: Carol

text: Cratty

text: contributed

text: to

text: this

text: report

question: What is missing from the airport?

answer: fuel drum

text: fuel drum

question: What did the pilot's wife say?

answer: "sincere sympathy to the victims and their families"

text: "sincere sympathy to the victims and their families"

question: What did the FBI do?

answer: taken the lead role in the investigation of Thursday's crash into the 7-story building

text: taken the lead role in the investigation of Thursday's crash into the 7-story building

question: What happened in Austin, Texas?

answer: flew an airplane into a building housing an Internal Revenue Service

text: flew an airplane into a building housing an Internal Revenue Service

question: What was removed from the planes?

answer: several seats

text: several seats

question: What is Joseph Stack believed to have done?

answer: flew an airplane into a building housing an Internal Revenue Service

text: flew an airplane into a building housing an Internal Revenue Service


text:
(CNN) -- A fire on the back porch of a home in Coatesville, Pennsylvania, was the town's 18th arson fire of the year, authorities determined Wednesday morning.

The latest in a string of arson fires was quickly extinguished on a back porch of this Coatesville house.

John Hageman from the Bureau of Alcohol, Tobacco, Firearms and Explosives said the small fire broke out about 9:45 p.m. Tuesday in the eastern Pennsylvania town.

Four other fires were deliberately set Saturday in neighboring communities in surrounding Chester County, according to the ATF.

They were ignited on the front and side porches of homes, officials said.

None of the homes was completely lost, Hageman said.

The Coatesville arsons have received national attention.

At least 30 fires have been deliberately set in Coatesville in 2008 and 2009. Of those, more than half have occurred in the past four weeks.

The string of arson fires has rattled residents, who have demanded action from City Hall and fire officials.

A county task force is investigating the arsons and looking into other fires near Coatesville, which is about 40 miles west of Philadelphia.

Fire swept through 15 homes in the town during the weekend of January 24 and 25, authorities said. Coatesville has a population of about 11,000.

text: CNN

text: A

text: fire

text: on

text: the

text: back

text: porch

text: of

text: a

text: home

text: in

text: Coatesville

text: Pennsylvania

text: was

text: the

text: town

text: 's

text: arson

text: fire

text: of

text: the

text: year

text: authorities

text: determined

text: Wednesday

text: morning

text: The

text: latest

text: in

text: a

text: string

text: of

text: arson

text: fires

text: was

text: quickly

text: extinguished

text: on

text: a

text: back

text: porch

text: of

text: this

text: Coatesville

text: house

text: John

text: Hageman

text: from

text: the

text: Bureau

text: of

text: Alcohol

text: Tobacco

text: Firearms

text: and

text: Explosives

text: said

text: the

text: small

text: fire

text: broke

text: out

text: about

text: p.m.

text: Tuesday

text: in

text: the

text: eastern

text: Pennsylvania

text: town

text: Four

text: other

text: fires

text: were

text: deliberately

text: set

text: Saturday

text: in

text: neighboring

text: communities

text: in

text: surrounding

text: Chester

text: County

text: according

text: to

text: the

text: ATF

text: They

text: were

text: ignited

text: on

text: the

text: front

text: and

text: side

text: porches

text: of

text: homes

text: officials

text: said

text: of

text: the

text: homes

text: was

text: completely

text: lost

text: Hageman

text: said

text: The

text: Coatesville

text: arsons

text: have

text: received

text: national

text: attention

text: At

text: least

text: fires

text: have

text: been

text: deliberately

text: set

text: in

text: Coatesville

text: in

text: and

text: Of

text: those

text: more

text: than

text: half

text: have

text: occurred

text: in

text: the

text: past

text: four

text: weeks

text: The

text: string

text: of

text: arson

text: fires

text: has

text: rattled

text: residents

text: who

text: have

text: demanded

text: action

text: from

text: City

text: Hall

text: and

text: fire

text: officials

text: A

text: county

text: task

text: force

text: is

text: investigating

text: the

text: arsons

text: and

text: looking

text: into

text: other

text: fires

text: near

text: Coatesville

text: which

text: is

text: about

text: miles

text: west

text: of

text: Philadelphia

text: Fire

text: swept

text: through

text: homes

text: in

text: the

text: town

text: during

text: the

text: weekend

text: of

text: January

text: and

text: authorities

text: said

text: Coatesville

text: has

text: a

text: population

text: of

text: about

question: What is the population of Coatesville?

answer: about 11,000.

text: about 11,000.

question: WHat is the population of the town?

answer: 11,000.

question: How many arsons have occurred in Coatseville this year?

answer: 18th

question: In what state might you find Coatesville?

answer: Pennsylvania,

text: Pennsylvania,

question: How many people live in Coatesville?

answer: 11,000.

question: Number of Coatesvill homes affected by fire?

answer: 15

question: How many fires were set in 2008 and 2009?

answer: At least 30

text: At least 30

question: What was the back porch fire ruled?

answer: arson

text: arson

question: Where did the back porch fire take place?

answer: Coatesville, Pennsylvania,

text: Coatesville, Pennsylvania,

question: On what weekend were there many fires in this town?

answer: January 24 and 25,

text: January 24 and 25,

question: Where was a porch fire ruled an arson?

answer: Coatesville, Pennsylvania,

text: Coatesville, Pennsylvania,

question: Population of the town?

answer: about 11,000.

text: about 11,000.


text:
(CNN) -- Key structural changes have been identified in the brain images of some patients with mild cognitive impairment which could help determine who's at greatest risk for developing Alzheimer's disease.

Researchers at the University of California, San Diego, studied MRI scans of 84 patients with Alzheimer's disease, 175 patients with mild cognitive impairment, or MCI, and 139 images of healthy brains.

"Our initial goal was to locate similarities in the patients with Alzheimer's disease to those with MCI, in the hopes of finding a method to predict [MCI patients'] likelihood of developing the disease," said lead study author Linda McEvoy, assistant project scientist at UCSD's department of radiology.

Neuroimaging results for the patients with Alzheimer's disease were as expected, according to the study, which was published online in the journal Radiology. Atrophy, which is loss of brain tissue, was visible throughout the brain. The temporal and parietal lobes, which affect cognitive function, saw the most damage.

What surprised researchers were the differences in images from the MCI patients. More than 50 percent of the brains in the MCI group showed atrophy similar to the Alzheimer's disease patients. The other half of the MCI patients showed only small amounts of tissue damage.  Watch Dr. Gupta explain the findings Â»

"Although the symptoms for the entire MCI group were primarily memory problems, other parts of the brain were impacted in over half the group," McEvoy said. "And even though these patients [with Alzheimer's-like atrophy] don't have problems with their cognitive function now, their MCI will likely develop to that in the future."

Researchers also evaluated the brains of the MCI group one year after initial testing. They found that patients who earlier had mild cognitive impairment plus signs of atrophy were getting worse. Twenty-nine percent of the group had since been diagnosed with Alzheimer's disease and the others had begun to show signs of more serious cognitive decline.

The condition of patients in the MCI group whose scans showed minimal signs of atrophy the previous year remained about the same. "Only 8 percent of this group had developed Alzheimer's disease. The rest of the patients were stable and their symptoms had not increased," McEvoy said.

Bill Thies, chief medical and scientific officer for the Alzheimer's Association, underscored the significance of these findings. "What this study really shows is how different people with MCI can be, despite having similar symptoms. We can now use this information to create new treatments," he said.

There are several drugs on the market that treat the symptoms of Alzheimer's disease, but none that prevent its progression.

Clinical trials may be able to use this data to select a better pool of candidates when testing new drugs. "If they use a MCI patient with loss of brain tissue, someone who we now know is progressing fast towards Alzheimer's disease, we'd be able to quickly figure out if drug 'X' is slowing things down or not helping at all," Thies added.

In addition, researchers hope that within the next few years patients could regularly be tested by their physicians to determine their risk of developing  Alzheimer's. "If nothing else it would be good information for their family members to have early on, to be better prepared for the future." McEvoy said.

Over 5 million Americans have Alzheimer's disease and an estimated three and a half million have mild cognitive impairment.

text: CNN

text: Key

text: structural

text: changes

text: have

text: been

text: identified

text: in

text: the

text: brain

text: images

text: of

text: some

text: patients

text: with

text: mild

text: cognitive

text: impairment

text: which

text: could

text: help

text: determine

text: who

text: 's

text: at

text: greatest

text: risk

text: for

text: developing

text: Alzheimer

text: 's

text: disease

text: Researchers

text: at

text: the

text: University

text: of

text: California

text: San

text: Diego

text: studied

text: MRI

text: scans

text: of

text: patients

text: with

text: Alzheimer

text: 's

text: disease

text: patients

text: with

text: mild

text: cognitive

text: impairment

text: or

text: MCI

text: and

text: images

text: of

text: healthy

text: brains

text: Our

text: initial

text: goal

text: was

text: to

text: locate

text: similarities

text: in

text: the

text: patients

text: with

text: Alzheimer

text: 's

text: disease

text: to

text: those

text: with

text: MCI

text: in

text: the

text: hopes

text: of

text: finding

text: a

text: method

text: to

text: predict

text: MCI

text: patients

text: likelihood

text: of

text: developing

text: the

text: disease

text: said

text: lead

text: study

text: author

text: Linda

text: McEvoy

text: assistant

text: project

text: scientist

text: at

text: UCSD

text: 's

text: department

text: of

text: radiology

text: Neuroimaging

text: results

text: for

text: the

text: patients

text: with

text: Alzheimer

text: 's

text: disease

text: were

text: as

text: expected

text: according

text: to

text: the

text: study

text: which

text: was

text: published

text: online

text: in

text: the

text: journal

text: Radiology

text: Atrophy

text: which

text: is

text: loss

text: of

text: brain

text: tissue

text: was

text: visible

text: throughout

text: the

text: brain

text: The

text: temporal

text: and

text: parietal

text: lobes

text: which

text: affect

text: cognitive

text: function

text: saw

text: the

text: most

text: damage

text: What

text: surprised

text: researchers

text: were

text: the

text: differences

text: in

text: images

text: from

text: the

text: MCI

text: patients

text: More

text: than

text: percent

text: of

text: the

text: brains

text: in

text: the

text: MCI

text: group

text: showed

text: atrophy

text: similar

text: to

text: the

text: Alzheimer

text: 's

text: disease

text: patients

text: The

text: other

text: half

text: of

text: the

text: MCI

text: patients

text: showed

text: only

text: small

text: amounts

text: of

text: tissue

text: damage

text: Watch

text: Dr.

text: Gupta

text: explain

text: the

text: findings

text: Â

text: Although

text: the

text: symptoms

text: for

text: the

text: entire

text: MCI

text: group

text: were

text: primarily

text: memory

text: problems

text: other

text: parts

text: of

text: the

text: brain

text: were

text: impacted

text: in

text: over

text: half

text: the

text: group

text: McEvoy

text: said

text: And

text: even

text: though

text: these

text: patients

text: with

text: Alzheimer's

text: like

text: atrophy

text: do

text: n't

text: have

text: problems

text: with

text: their

text: cognitive

text: function

text: now

text: their

text: MCI

text: will

text: likely

text: develop

text: to

text: that

text: in

text: the

text: future

text: Researchers

text: also

text: evaluated

text: the

text: brains

text: of

text: the

text: MCI

text: group

text: one

text: year

text: after

text: initial

text: testing

text: They

text: found

text: that

text: patients

text: who

text: earlier

text: had

text: mild

text: cognitive

text: impairment

text: plus

text: signs

text: of

text: atrophy

text: were

text: getting

text: worse

text: Twenty

text: nine

text: percent

text: of

text: the

text: group

text: had

text: since

text: been

text: diagnosed

text: with

text: Alzheimer

text: 's

text: disease

text: and

text: the

text: others

text: had

text: begun

text: to

text: show

text: signs

text: of

text: more

text: serious

text: cognitive

text: decline

text: The

text: condition

text: of

text: patients

text: in

text: the

text: MCI

text: group

text: whose

text: scans

text: showed

text: minimal

text: signs

text: of

text: atrophy

text: the

text: previous

text: year

text: remained

text: about

text: the

text: same

text: Only

text: percent

text: of

text: this

text: group

text: had

text: developed

text: Alzheimer

text: 's

text: disease

text: The

text: rest

text: of

text: the

text: patients

text: were

text: stable

text: and

text: their

text: symptoms

text: had

text: not

text: increased

text: McEvoy

text: said

text: Bill

text: Thies

text: chief

text: medical

text: and

text: scientific

text: officer

text: for

text: the

text: Alzheimer

text: 's

text: Association

text: underscored

text: the

text: significance

text: of

text: these

text: findings

text: What

text: this

text: study

text: really

text: shows

text: is

text: how

text: different

text: people

text: with

text: MCI

text: can

text: be

text: despite

text: having

text: similar

text: symptoms

text: We

text: can

text: now

text: use

text: this

text: information

text: to

text: create

text: new

text: treatments

text: he

text: said

text: There

text: are

text: several

text: drugs

text: on

text: the

text: market

text: that

text: treat

text: the

text: symptoms

text: of

text: Alzheimer

text: 's

text: disease

text: but

text: that

text: prevent

text: its

text: progression

text: Clinical

text: trials

text: may

text: be

text: able

text: to

text: use

text: this

text: data

text: to

text: select

text: a

text: better

text: pool

text: of

text: candidates

text: when

text: testing

text: new

text: drugs

text: If

text: they

text: use

text: a

text: MCI

text: patient

text: with

text: loss

text: of

text: brain

text: tissue

text: someone

text: who

text: we

text: now

text: know

text: is

text: progressing

text: fast

text: towards

text: Alzheimer

text: 's

text: disease

text: we

text: 'd

text: be

text: able

text: to

text: quickly

text: figure

text: out

text: if

text: drug

text: X

text: is

text: slowing

text: things

text: down

text: or

text: not

text: helping

text: at

text: all

text: Thies

text: added

text: In

text: addition

text: researchers

text: hope

text: that

text: within

text: the

text: next

text: few

text: years

text: patients

text: could

text: regularly

text: be

text: tested

text: by

text: their

text: physicians

text: to

text: determine

text: their

text: risk

text: of

text: developing

text: Alzheimer

text: 's

text: If

text: nothing

text: else

text: it

text: would

text: be

text: good

text: information

text: for

text: their

text: family

text: members

text: to

text: have

text: early

text: on

text: to

text: be

text: better

text: prepared

text: for

text: the

text: future

text: McEvoy

text: said

text: Over

text: million

text: Americans

text: have

text: Alzheimer

text: 's

text: disease

text: and

text: an

text: estimated

text: three

text: and

text: a

text: half

text: million

text: have

text: mild

text: cognitive

text: impairment

question: What mental condition is being discussed here?

answer: Alzheimer's disease.

text: Alzheimer's disease.

question: What could brain scans do?

answer: help determine who's at greatest risk for developing Alzheimer's disease.

text: help determine who's at greatest risk for developing Alzheimer's disease.

question: What is seen in brain scans?

answer: structural changes

text: structural changes

question: Where have key structural changes been found in those with memory loss?

answer: in the brain images of some patients

text: in the brain images of some patients

question: What could identify who gets Alzheimer's?

answer: brain images

text: brain images

question: How long does it take for many patients with brain changes to develop Alzheimer's?

answer: one year after

text: one year after

question: What did many patients have one year later?

answer: mild cognitive impairment plus signs of atrophy were getting worse.

text: mild cognitive impairment plus signs of atrophy were getting worse.

question: What kind of scan could identify those who will get Alzheimers?

answer: MRI

text: MRI


text:
(CNN) -- Internet attacks shut down the social networking site Twitter for about two hours on Thursday morning and caused glitches in other sites like Facebook and LiveJournal, a blogging site.

Some Twitter users expressed near-panic that the site was not working properly Thursday.

It's unclear if the attacks were coordinated against the social media sites.

Twitter says its site's blackout was caused by a "denial of service attack," which likely means a hacker used a herd of infected computers to send bad information to the site to overwhelmed it.

A post to Twitter's blog said its Web site was back online before noon ET, but the site's users still were reporting problems.

"We are continuing to defend against and recover from this attack," the message from the company says.

Facebook and other social networking sites appeared to be affected by Twitter's shut-down, too. Twitter runs applications through those sites and there was speculation that the glitches were related.

"Earlier this morning, we encountered issues within our network that resulted in a short period of degraded site experience for some visitors," said Facebook spokeswoman Kathleen Loughlin.

"No user data was at risk, and the matter is now resolved for the majority of users. We're monitoring the situation to ensure that users continue to have the fast and reliable experience they've come to expect from Facebook," she said.

Twitter's site went down around 9:30 a.m. ET on Thursday and was back online by about 11:30 a.m.

It's unclear who plotted the attack against Twitter and what their motives may have been. Internet attacks sometimes hit Web sites as they become popular. Security experts say financial motives often are behind modern cyber-attacks. Watch Mashable's Adam Ostrow on the Twitter outage

Twitter -- a micro-blogging site where users post 140-character messages to their followers -- has soared in popularity in recent months. According to comScore, a Web tracking firm, the site had 44 million unique visitors in June.

Thursday's incident highlights the degree to which people depend on online social networks to feel connected to the world.

Some Twitter and Facebook users expressed near-panic that the sites were not working properly. Others reacted with ambivalence.

This is not the first time Twitter has been hit with a cyber-attack. Last month, a hacker broke into the personal Google accounts of Twitter employees, stealing personal information and company financial reports and posting them online.

In an e-mail to CNN.com, Twitter co-founder Biz Stone said that incident is not related to Thursday's security breach.

"There's no indication that this attack is related to any previous activities. We are currently the target of a denial of service attack," Stone said in the e-mail.

"Attacks such as this are malicious efforts orchestrated to disrupt and make unavailable services such as online banks, credit card payment gateways, and in this case, Twitter for intended customers or users. We are defending against this attack now and will continue to update our status blog as we defend and later investigate."

Don DeBolt, director of threat research at CA, a computer security company, said it's too early to tell who or what may be behind the Twitter attack.

But he said denial-of-service attacks target specific Web sites.

"To be effective, [these attacks] need to be focused on a Web site or a series of Web sites," he said. "It's not going to be something where malware (harmful software) is going to be deployed and then randomly attacks Web sites."

John Harrison, a researcher with Web security firm Symantec, said it is very difficult to learn the identity of the attacker, or attackers, as they could be anywhere on Earth and the infected network could span several countries.

Logging on to sites such as Twitter while they are under attack only makes the situation worse because it adds to the overloading of the system, he said.

The U.S. Computer Emergency Readiness Team says it's impossible for Web developers to fully prevent such attacks. But everyday computer users can ensure that their machines aren't used in a coordinated attack like the one seen Thursday.

To protect their computers, consumers should update anti-virus software, create passwords that are difficult to crack and maintain computer firewalls, the agency says.

text: CNN

text: Internet

text: attacks

text: shut

text: down

text: the

text: social

text: networking

text: site

text: Twitter

text: for

text: about

text: two

text: hours

text: on

text: Thursday

text: morning

text: and

text: caused

text: glitches

text: in

text: other

text: sites

text: like

text: Facebook

text: and

text: LiveJournal

text: a

text: blogging

text: site

text: Some

text: Twitter

text: users

text: expressed

text: near

text: panic

text: that

text: the

text: site

text: was

text: not

text: working

text: properly

text: Thursday

text: It

text: 's

text: unclear

text: if

text: the

text: attacks

text: were

text: coordinated

text: against

text: the

text: social

text: media

text: sites

text: Twitter

text: says

text: its

text: site

text: 's

text: blackout

text: was

text: caused

text: by

text: a

text: denial

text: of

text: service

text: attack

text: which

text: likely

text: means

text: a

text: hacker

text: used

text: a

text: herd

text: of

text: infected

text: computers

text: to

text: send

text: bad

text: information

text: to

text: the

text: site

text: to

text: overwhelmed

text: it

text: A

text: post

text: to

text: Twitter

text: 's

text: blog

text: said

text: its

text: Web

text: site

text: was

text: back

text: online

text: before

text: noon

text: ET

text: but

text: the

text: site

text: 's

text: users

text: still

text: were

text: reporting

text: problems

text: We

text: are

text: continuing

text: to

text: defend

text: against

text: and

text: recover

text: from

text: this

text: attack

text: the

text: message

text: from

text: the

text: company

text: says

text: Facebook

text: and

text: other

text: social

text: networking

text: sites

text: appeared

text: to

text: be

text: affected

text: by

text: Twitter

text: 's

text: shut

text: down

text: too

text: Twitter

text: runs

text: applications

text: through

text: those

text: sites

text: and

text: there

text: was

text: speculation

text: that

text: the

text: glitches

text: were

text: related

text: Earlier

text: this

text: morning

text: we

text: encountered

text: issues

text: within

text: our

text: network

text: that

text: resulted

text: in

text: a

text: short

text: period

text: of

text: degraded

text: site

text: experience

text: for

text: some

text: visitors

text: said

text: Facebook

text: spokeswoman

text: Kathleen

text: Loughlin

text: No

text: user

text: data

text: was

text: at

text: risk

text: and

text: the

text: matter

text: is

text: now

text: resolved

text: for

text: the

text: majority

text: of

text: users

text: We

text: 're

text: monitoring

text: the

text: situation

text: to

text: ensure

text: that

text: users

text: continue

text: to

text: have

text: the

text: fast

text: and

text: reliable

text: experience

text: they

text: 've

text: come

text: to

text: expect

text: from

text: Facebook

text: she

text: said

text: Twitter

text: 's

text: site

text: went

text: down

text: around

text: a.m.

text: ET

text: on

text: Thursday

text: and

text: was

text: back

text: online

text: by

text: about

text: a.m.

text: It

text: 's

text: unclear

text: who

text: plotted

text: the

text: attack

text: against

text: Twitter

text: and

text: what

text: their

text: motives

text: may

text: have

text: been

text: Internet

text: attacks

text: sometimes

text: hit

text: Web

text: sites

text: as

text: they

text: become

text: popular

text: Security

text: experts

text: say

text: financial

text: motives

text: often

text: are

text: behind

text: modern

text: cyber

text: attacks

text: Watch

text: Mashable

text: 's

text: Adam

text: Ostrow

text: on

text: the

text: Twitter

text: outage

text: Twitter

text: a

text: micro

text: blogging

text: site

text: where

text: users

text: post

text: messages

text: to

text: their

text: followers

text: has

text: soared

text: in

text: popularity

text: in

text: recent

text: months

text: According

text: to

text: comScore

text: a

text: Web

text: tracking

text: firm

text: the

text: site

text: had

text: million

text: unique

text: visitors

text: in

text: June

text: Thursday

text: 's

text: incident

text: highlights

text: the

text: degree

text: to

text: which

text: people

text: depend

text: on

text: online

text: social

text: networks

text: to

text: feel

text: connected

text: to

text: the

text: world

text: Some

text: Twitter

text: and

text: Facebook

text: users

text: expressed

text: near

text: panic

text: that

text: the

text: sites

text: were

text: not

text: working

text: properly

text: Others

text: reacted

text: with

text: ambivalence

text: This

text: is

text: not

text: the

text: first

text: time

text: Twitter

text: has

text: been

text: hit

text: with

text: a

text: cyber

text: attack

text: Last

text: month

text: a

text: hacker

text: broke

text: into

text: the

text: personal

text: Google

text: accounts

text: of

text: Twitter

text: employees

text: stealing

text: personal

text: information

text: and

text: company

text: financial

text: reports

text: and

text: posting

text: them

text: online

text: In

text: an

text: e

text: mail

text: to

text: CNN.com

text: Twitter

text: co

text: founder

text: Biz

text: Stone

text: said

text: that

text: incident

text: is

text: not

text: related

text: to

text: Thursday

text: 's

text: security

text: breach

text: There

text: 's

text: no

text: indication

text: that

text: this

text: attack

text: is

text: related

text: to

text: any

text: previous

text: activities

text: We

text: are

text: currently

text: the

text: target

text: of

text: a

text: denial

text: of

text: service

text: attack

text: Stone

text: said

text: in

text: the

text: e

text: mail

text: Attacks

text: such

text: as

text: this

text: are

text: malicious

text: efforts

text: orchestrated

text: to

text: disrupt

text: and

text: make

text: unavailable

text: services

text: such

text: as

text: online

text: banks

text: credit

text: card

text: payment

text: gateways

text: and

text: in

text: this

text: case

text: Twitter

text: for

text: intended

text: customers

text: or

text: users

text: We

text: are

text: defending

text: against

text: this

text: attack

text: now

text: and

text: will

text: continue

text: to

text: update

text: our

text: status

text: blog

text: as

text: we

text: defend

text: and

text: later

text: investigate

text: Don

text: DeBolt

text: director

text: of

text: threat

text: research

text: at

text: CA

text: a

text: computer

text: security

text: company

text: said

text: it

text: 's

text: too

text: early

text: to

text: tell

text: who

text: or

text: what

text: may

text: be

text: behind

text: the

text: Twitter

text: attack

text: But

text: he

text: said

text: denial

text: of

text: service

text: attacks

text: target

text: specific

text: Web

text: sites

text: To

text: be

text: effective

text: these

text: attacks

text: need

text: to

text: be

text: focused

text: on

text: a

text: Web

text: site

text: or

text: a

text: series

text: of

text: Web

text: sites

text: he

text: said

text: It

text: 's

text: not

text: going

text: to

text: be

text: something

text: where

text: malware

text: harmful

text: software

text: is

text: going

text: to

text: be

text: deployed

text: and

text: then

text: randomly

text: attacks

text: Web

text: sites

text: John

text: Harrison

text: a

text: researcher

text: with

text: Web

text: security

text: firm

text: Symantec

text: said

text: it

text: is

text: very

text: difficult

text: to

text: learn

text: the

text: identity

text: of

text: the

text: attacker

text: or

text: attackers

text: as

text: they

text: could

text: be

text: anywhere

text: on

text: Earth

text: and

text: the

text: infected

text: network

text: could

text: span

text: several

text: countries

text: Logging

text: on

text: to

text: sites

text: such

text: as

text: Twitter

text: while

text: they

text: are

text: under

text: attack

text: only

text: makes

text: the

text: situation

text: worse

text: because

text: it

text: adds

text: to

text: the

text: overloading

text: of

text: the

text: system

text: he

text: said

text: The

text: U.S.

text: Computer

text: Emergency

text: Readiness

text: Team

text: says

text: it

text: 's

text: impossible

text: for

text: Web

text: developers

text: to

text: fully

text: prevent

text: such

text: attacks

text: But

text: everyday

text: computer

text: users

text: can

text: ensure

text: that

text: their

text: machines

text: are

text: n't

text: used

text: in

text: a

text: coordinated

text: attack

text: like

text: the

text: one

text: seen

text: Thursday

text: To

text: protect

text: their

text: computers

text: consumers

text: should

text: update

text: anti

text: virus

text: software

text: create

text: passwords

text: that

text: are

text: difficult

text: to

text: crack

text: and

text: maintain

text: computer

text: firewalls

text: the

text: agency

text: says

question: who says attack is not related to a recent breach in Twitter security?

answer: Biz Stone

text: Biz Stone

question: What kind of attacks hit Twitter, Facebook, LiveJournal?

answer: Internet

text: Internet

question: How long was Twitter down?

answer: two hours

text: two hours

question: What happened Thursday morning?

answer: attacks shut down the social networking site Twitter

text: attacks shut down the social networking site Twitter

question: Is it clear who caused the attacks?

answer: unclear

text: unclear

question: what hit Thursday morning with denial-of-service attacks?

answer: Twitter

text: Twitter

question: How long was Twitter shut down by the attack?

answer: two hours

text: two hours

question: what The attack shut Twitter down for at least two hours?

answer: Internet

text: Internet