text:
(CNN) -- Formula One's new Team U.S. F1 will have the financial backing of YouTube co-founder Chad Hurley -- and the video sharing Web site's chief executive expects to make a big impact in motorsport.

Chad Hurley is hoping his start-up experience can help the US F1 team become a major player.

The American, who along with co-founders Steve Chen and Jawed Karim sold YouTube to internet giant Google for $1.65 billion in 2006, has faith in the team's prospects for the 2010 season.

It is fronted by engineer Ken Anderson, formerly involved with NASCAR team Haas CNC Racing, and Peter Windsor, a journalist who has worked with F1's Ferrari and Williams.

"I believe in Ken and Peter and the team that they have put together, and I believe that we have a chance to hopefully start from a clean slate and try to build a team in a different way," Hurley told Web site Autosport.com.

Hurley started YouTube from scratch, and sees parallels with his involvement with US F1.

"The business aspect of what attracted me to US F1 is just that, that it is a start-up," he said. "And it's a very similar situation to one that would be in Silicon Valley.

"It's a small team of talented, smart individuals trying to break the mould, trying to accomplish something that others think is impossible."

However, Hurley does not expect instant success for the new franchise, which will be the only F1 outfit based outside of Europe and comes into the sport in difficult economic times when sponsors are dropping out.

"Obviously we want to be competitive," he told Autosport.com. "I know there is going to be a lot of competition -- it's going to take quite a few years to ramp up this team and get the cars into a position where we are competing for the world championship, but ultimately that's our goal.

"We're not necessarily going to get involved and be satisfied with just getting a car onto the track. Our aspirations and goals go much farther than that."

While major manufacturers have been reviewing their participation in motorsport's premium category -- Honda withdrew at the end of last year and BMW will end its association with Sauber at the end of this season -- Hurley is confident that he can find other investors to back the American team.

"I hope so, and I hope it goes beyond Silicon Valley," he said. "I am definitely going to be involved in helping the team with sponsors, helping the team with business relationships, and helping the team with integrating technology -- ways that they can leverage and benefit from social media and the Internet broadly.

"So in many ways, I hope to add benefit to the team and what they are trying to accomplish."

text: CNN

text: Formula

text: One

text: 's

text: new

text: Team

text: U.S.

text: will

text: have

text: the

text: financial

text: backing

text: of

text: YouTube

text: co

text: founder

text: Chad

text: Hurley

text: and

text: the

text: video

text: sharing

text: Web

text: site

text: 's

text: chief

text: executive

text: expects

text: to

text: make

text: a

text: big

text: impact

text: in

text: motorsport

text: Chad

text: Hurley

text: is

text: hoping

text: his

text: start

text: up

text: experience

text: can

text: help

text: the

text: US

text: team

text: become

text: a

text: major

text: player

text: The

text: American

text: who

text: along

text: with

text: co

text: founders

text: Steve

text: Chen

text: and

text: Jawed

text: Karim

text: sold

text: YouTube

text: to

text: internet

text: giant

text: Google

text: for

text: billion

text: in

text: has

text: faith

text: in

text: the

text: team

text: 's

text: prospects

text: for

text: the

text: season

text: It

text: is

text: fronted

text: by

text: engineer

text: Ken

text: Anderson

text: formerly

text: involved

text: with

text: NASCAR

text: team

text: Haas

text: CNC

text: Racing

text: and

text: Peter

text: Windsor

text: a

text: journalist

text: who

text: has

text: worked

text: with

text: 's

text: Ferrari

text: and

text: Williams

text: I

text: believe

text: in

text: Ken

text: and

text: Peter

text: and

text: the

text: team

text: that

text: they

text: have

text: put

text: together

text: and

text: I

text: believe

text: that

text: we

text: have

text: a

text: chance

text: to

text: hopefully

text: start

text: from

text: a

text: clean

text: slate

text: and

text: try

text: to

text: build

text: a

text: team

text: in

text: a

text: different

text: way

text: Hurley

text: told

text: Web

text: site

text: Autosport.com

text: Hurley

text: started

text: YouTube

text: from

text: scratch

text: and

text: sees

text: parallels

text: with

text: his

text: involvement

text: with

text: US

text: The

text: business

text: aspect

text: of

text: what

text: attracted

text: me

text: to

text: US

text: is

text: just

text: that

text: that

text: it

text: is

text: a

text: start

text: up

text: he

text: said

text: And

text: it

text: 's

text: a

text: very

text: similar

text: situation

text: to

text: one

text: that

text: would

text: be

text: in

text: Silicon

text: Valley

text: It

text: 's

text: a

text: small

text: team

text: of

text: talented

text: smart

text: individuals

text: trying

text: to

text: break

text: the

text: mould

text: trying

text: to

text: accomplish

text: something

text: that

text: others

text: think

text: is

text: impossible

text: However

text: Hurley

text: does

text: not

text: expect

text: instant

text: success

text: for

text: the

text: new

text: franchise

text: which

text: will

text: be

text: the

text: only

text: outfit

text: based

text: outside

text: of

text: Europe

text: and

text: comes

text: into

text: the

text: sport

text: in

text: difficult

text: economic

text: times

text: when

text: sponsors

text: are

text: dropping

text: out

text: Obviously

text: we

text: want

text: to

text: be

text: competitive

text: he

text: told

text: Autosport.com

text: I

text: know

text: there

text: is

text: going

text: to

text: be

text: a

text: lot

text: of

text: competition

text: it

text: 's

text: going

text: to

text: take

text: quite

text: a

text: few

text: years

text: to

text: ramp

text: up

text: this

text: team

text: and

text: get

text: the

text: cars

text: into

text: a

text: position

text: where

text: we

text: are

text: competing

text: for

text: the

text: world

text: championship

text: but

text: ultimately

text: that

text: 's

text: our

text: goal

text: We

text: 're

text: not

text: necessarily

text: going

text: to

text: get

text: involved

text: and

text: be

text: satisfied

text: with

text: just

text: getting

text: a

text: car

text: onto

text: the

text: track

text: Our

text: aspirations

text: and

text: goals

text: go

text: much

text: farther

text: than

text: that

text: While

text: major

text: manufacturers

text: have

text: been

text: reviewing

text: their

text: participation

text: in

text: motorsport

text: 's

text: premium

text: category

text: Honda

text: withdrew

text: at

text: the

text: end

text: of

text: last

text: year

text: and

text: BMW

text: will

text: end

text: its

text: association

text: with

text: Sauber

text: at

text: the

text: end

text: of

text: this

text: season

text: Hurley

text: is

text: confident

text: that

text: he

text: can

text: find

text: other

text: investors

text: to

text: back

text: the

text: American

text: team

text: I

text: hope

text: so

text: and

text: I

text: hope

text: it

text: goes

text: beyond

text: Silicon

text: Valley

text: he

text: said

text: I

text: am

text: definitely

text: going

text: to

text: be

text: involved

text: in

text: helping

text: the

text: team

text: with

text: sponsors

text: helping

text: the

text: team

text: with

text: business

text: relationships

text: and

text: helping

text: the

text: team

text: with

text: integrating

text: technology

text: ways

text: that

text: they

text: can

text: leverage

text: and

text: benefit

text: from

text: social

text: media

text: and

text: the

text: Internet

text: broadly

text: So

text: in

text: many

text: ways

text: I

text: hope

text: to

text: add

text: benefit

text: to

text: the

text: team

text: and

text: what

text: they

text: are

text: trying

text: to

text: accomplish

question: What is backed by Chad Hurley?

answer: Formula

text: Formula

question: Formula One's new team is backed by who?

answer: YouTube co-founder Chad Hurley

text: YouTube co-founder Chad Hurley

question: who is chad hurley

answer: YouTube co-founder

text: YouTube co-founder

question: What company did Hurley sell You Tube to?

answer: Google

text: Google

question: Hurley sold YouTube to google in what year?

answer: 2006,

question: which team is chad hurley

answer: U.S. F1

text: U.S. F1

question: What year was You Tube sold?

answer: 2006,

question: What does Hurley hope?

answer: his start-up experience can help the US F1 team become a major player.

text: his start-up experience can help the US F1 team become a major player.


text:
(CNN) -- A Washington woman who hid a sedated monkey under her blouse on a flight from Thailand was convicted of violating wildlife laws for smuggling the monkey into the United States, prosecutors said Tuesday.

Authorities rescued the monkey from Gypsy Lawson's fake womb.

Gypsy Lawson, 28, and her mother, Fran Ogren, 56, were convicted of smuggling and conspiracy to smuggle the monkey in violation of the Endangered Species Act and other federal laws.

Lawson hid the young rhesus macaque monkey under a loose-fitting blouse on a flight from Bangkok, Thailand, to Los Angeles, California, International Airport, pretending she was pregnant, the U.S. Attorneys Office for the Eastern District of Washington said.

Permits are required to possess rhesus monkeys and many other species of animals. Such permits are granted for research, enhancement and conservation purposes. Additionally, transporting such species into the United States requires a customs declaration. Lawson and Ogren had neither.

"These defendants purposely undertook a course of action which could well have endangered many citizens, as well as the life of the animal in question," said U.S. Attorney James McDevitt.

Rhesus monkeys are known to carry viruses and parasites that can be transmitted to humans, said Paul Chang, a U.S. Fish and Wildlife Service agent.

"This particular animal tested negative," he said.

Chang said the monkey has been placed with a rescue center for abandoned primates, "but it could have been living out its life with its family in its native habitat."

Authorities found journals and handwritten notes describing the mother and daughter's attempts to find a monkey small enough to smuggle back to the United States. The journal also described the pair's "acquisition of a small monkey and their experimenting with different medicines to sedate the monkey for their journey home," McDevitt's office said.

Authorities also found photographs of Lawson at two airports and on an airplane in which she is wearing loose-fitting clothing and appears to be pregnant.

"The journal confirms that she and her mother smuggled the monkey into the United States by hiding it under her shirt, pretending she was pregnant in order to get past authorities," the statement from McDevitt's office said.

Co-defendant James Edward Pratt, 34, already has pleaded guilty to misdemeanor charges of possession and transportation of prohibited wildlife. He will be sentenced in January.

Sentencing for Lawson and Ogren is scheduled for March 3, 2009. The smuggling conviction carries a maximum sentence of 20 years in prison, a $250,000 fine and up to three years of court supervision after release. The conspiracy charge carries a maximum of five years in prison, a $250,000 fine and up to three years of court supervision after release.

Flight itineraries show the pair flew from Spokane, Washington, to Bangkok on November 4-5, 2007, with stops in Seattle, Washington, and Inchon, South Korea. They returned on a direct flight from Bangkok to Los Angeles, California, on November 28, 2007.

text: CNN

text: A

text: Washington

text: woman

text: who

text: hid

text: a

text: sedated

text: monkey

text: under

text: her

text: blouse

text: on

text: a

text: flight

text: from

text: Thailand

text: was

text: convicted

text: of

text: violating

text: wildlife

text: laws

text: for

text: smuggling

text: the

text: monkey

text: into

text: the

text: United

text: States

text: prosecutors

text: said

text: Tuesday

text: Authorities

text: rescued

text: the

text: monkey

text: from

text: Gypsy

text: Lawson

text: 's

text: fake

text: womb

text: Gypsy

text: Lawson

text: and

text: her

text: mother

text: Fran

text: Ogren

text: were

text: convicted

text: of

text: smuggling

text: and

text: conspiracy

text: to

text: smuggle

text: the

text: monkey

text: in

text: violation

text: of

text: the

text: Endangered

text: Species

text: Act

text: and

text: other

text: federal

text: laws

text: Lawson

text: hid

text: the

text: young

text: rhesus

text: macaque

text: monkey

text: under

text: a

text: loose

text: fitting

text: blouse

text: on

text: a

text: flight

text: from

text: Bangkok

text: Thailand

text: to

text: Los

text: Angeles

text: California

text: International

text: Airport

text: pretending

text: she

text: was

text: pregnant

text: the

text: U.S.

text: Attorneys

text: Office

text: for

text: the

text: Eastern

text: District

text: of

text: Washington

text: said

text: Permits

text: are

text: required

text: to

text: possess

text: rhesus

text: monkeys

text: and

text: many

text: other

text: species

text: of

text: animals

text: Such

text: permits

text: are

text: granted

text: for

text: research

text: enhancement

text: and

text: conservation

text: purposes

text: Additionally

text: transporting

text: such

text: species

text: into

text: the

text: United

text: States

text: requires

text: a

text: customs

text: declaration

text: Lawson

text: and

text: Ogren

text: had

text: neither

text: These

text: defendants

text: purposely

text: undertook

text: a

text: course

text: of

text: action

text: which

text: could

text: well

text: have

text: endangered

text: many

text: citizens

text: as

text: well

text: as

text: the

text: life

text: of

text: the

text: animal

text: in

text: question

text: said

text: U.S.

text: Attorney

text: James

text: McDevitt

text: Rhesus

text: monkeys

text: are

text: known

text: to

text: carry

text: viruses

text: and

text: parasites

text: that

text: can

text: be

text: transmitted

text: to

text: humans

text: said

text: Paul

text: Chang

text: a

text: U.S.

text: Fish

text: and

text: Wildlife

text: Service

text: agent

text: This

text: particular

text: animal

text: tested

text: negative

text: he

text: said

text: Chang

text: said

text: the

text: monkey

text: has

text: been

text: placed

text: with

text: a

text: rescue

text: center

text: for

text: abandoned

text: primates

text: but

text: it

text: could

text: have

text: been

text: living

text: out

text: its

text: life

text: with

text: its

text: family

text: in

text: its

text: native

text: habitat

text: Authorities

text: found

text: journals

text: and

text: handwritten

text: notes

text: describing

text: the

text: mother

text: and

text: daughter

text: 's

text: attempts

text: to

text: find

text: a

text: monkey

text: small

text: enough

text: to

text: smuggle

text: back

text: to

text: the

text: United

text: States

text: The

text: journal

text: also

text: described

text: the

text: pair

text: 's

text: acquisition

text: of

text: a

text: small

text: monkey

text: and

text: their

text: experimenting

text: with

text: different

text: medicines

text: to

text: sedate

text: the

text: monkey

text: for

text: their

text: journey

text: home

text: McDevitt

text: 's

text: office

text: said

text: Authorities

text: also

text: found

text: photographs

text: of

text: Lawson

text: at

text: two

text: airports

text: and

text: on

text: an

text: airplane

text: in

text: which

text: she

text: is

text: wearing

text: loose

text: fitting

text: clothing

text: and

text: appears

text: to

text: be

text: pregnant

text: The

text: journal

text: confirms

text: that

text: she

text: and

text: her

text: mother

text: smuggled

text: the

text: monkey

text: into

text: the

text: United

text: States

text: by

text: hiding

text: it

text: under

text: her

text: shirt

text: pretending

text: she

text: was

text: pregnant

text: in

text: order

text: to

text: get

text: past

text: authorities

text: the

text: statement

text: from

text: McDevitt

text: 's

text: office

text: said

text: Co

text: defendant

text: James

text: Edward

text: Pratt

text: already

text: has

text: pleaded

text: guilty

text: to

text: misdemeanor

text: charges

text: of

text: possession

text: and

text: transportation

text: of

text: prohibited

text: wildlife

text: He

text: will

text: be

text: sentenced

text: in

text: January

text: Sentencing

text: for

text: Lawson

text: and

text: Ogren

text: is

text: scheduled

text: for

text: March

text: The

text: smuggling

text: conviction

text: carries

text: a

text: maximum

text: sentence

text: of

text: years

text: in

text: prison

text: a

text: fine

text: and

text: up

text: to

text: three

text: years

text: of

text: court

text: supervision

text: after

text: release

text: The

text: conspiracy

text: charge

text: carries

text: a

text: maximum

text: of

text: five

text: years

text: in

text: prison

text: a

text: fine

text: and

text: up

text: to

text: three

text: years

text: of

text: court

text: supervision

text: after

text: release

text: Flight

text: itineraries

text: show

text: the

text: pair

text: flew

text: from

text: Spokane

text: Washington

text: to

text: Bangkok

text: on

text: November

text: with

text: stops

text: in

text: Seattle

text: Washington

text: and

text: Inchon

text: South

text: Korea

text: They

text: returned

text: on

text: a

text: direct

text: flight

text: from

text: Bangkok

text: to

text: Los

text: Angeles

text: California

text: on

text: November

question: What is Gypsy Lawson's age?

answer: 28,

question: Where was this animal smuggled from?

answer: Bangkok, Thailand,

text: Bangkok, Thailand,

question: What is the maximum penalty for a smuggling conviction?

answer: 20 years in prison, a $250,000 fine

text: 20 years in prison, a $250,000 fine

question: What ruse did Lawson attempt?

answer: hid the young rhesus macaque monkey under a loose-fitting blouse

text: hid the young rhesus macaque monkey under a loose-fitting blouse

question: What was Lawson convicted of?

answer: smuggling and conspiracy to smuggle the monkey in violation of the Endangered Species Act and other federal laws.

text: smuggling and conspiracy to smuggle the monkey in violation of the Endangered Species Act and other federal laws.

question: What was Lawson hiding?

answer: a sedated monkey

text: a sedated monkey

question: What did Gypsy Lawson smuggle?

answer: rhesus macaque monkey

text: rhesus macaque monkey

question: Who faked her pregnancy?

answer: Gypsy Lawson,

text: Gypsy Lawson,


text:
Baghdad (CNN) -- Al Qaeda in Iraq claimed responsibility Tuesday for a string of attacks that killed almost 70 people and wounded more than 200.

The seemingly coordinated explosions Thursday struck during the height of morning rush hour, hitting a number of Baghdad's primarily mixed Sunni-Shiite neighborhoods. Nine car bombs, six roadside bombs and a mortar round all went off in a two-hour period, targeting residential, commercial and government districts in the Iraqi capital, police said.

"The series of special invasions launched, under the guidance of the Ministry of War in the Islamic State of Iraq, to support the weak Sunnis in the prisons of the apostates and to retaliate for the captives who were executed," the group said on an al Qaeda website.

Iraq's leadership is dominated by Shiite Muslims, including Prime Minister Nuri al-Maliki. The country's Sunni minority held power under former leader Saddam Hussein.

A recent political crisis has raised fears of a return of the sectarian bloodshed in Iraq that ripped the country apart at the height of the war a few years back.

On December 19, al-Maliki, a Shiite, ordered the arrest of the Sunni vice president, a move that escalated sectarian tensions and threatened to collapse Iraq's fragile power-sharing government.

The political turmoil as well as the recent spate of violence erupted just days after the final U.S. troops withdrew.

Violence in Iraq has declined in recent years but last week's attacks were among the worst since August when a series of coordinated bombings killed at least 75 people in 17 Iraqi cities.

text: Baghdad

text: CNN

text: Al

text: Qaeda

text: in

text: Iraq

text: claimed

text: responsibility

text: Tuesday

text: for

text: a

text: string

text: of

text: attacks

text: that

text: killed

text: almost

text: people

text: and

text: wounded

text: more

text: than

text: The

text: seemingly

text: coordinated

text: explosions

text: Thursday

text: struck

text: during

text: the

text: height

text: of

text: morning

text: rush

text: hour

text: hitting

text: a

text: number

text: of

text: Baghdad

text: 's

text: primarily

text: mixed

text: Sunni

text: Shiite

text: neighborhoods

text: Nine

text: car

text: bombs

text: six

text: roadside

text: bombs

text: and

text: a

text: mortar

text: round

text: all

text: went

text: off

text: in

text: a

text: two

text: hour

text: period

text: targeting

text: residential

text: commercial

text: and

text: government

text: districts

text: in

text: the

text: Iraqi

text: capital

text: police

text: said

text: The

text: series

text: of

text: special

text: invasions

text: launched

text: under

text: the

text: guidance

text: of

text: the

text: Ministry

text: of

text: War

text: in

text: the

text: Islamic

text: State

text: of

text: Iraq

text: to

text: support

text: the

text: weak

text: Sunnis

text: in

text: the

text: prisons

text: of

text: the

text: apostates

text: and

text: to

text: retaliate

text: for

text: the

text: captives

text: who

text: were

text: executed

text: the

text: group

text: said

text: on

text: an

text: al

text: Qaeda

text: website

text: Iraq

text: 's

text: leadership

text: is

text: dominated

text: by

text: Shiite

text: Muslims

text: including

text: Prime

text: Minister

text: Nuri

text: al

text: Maliki

text: The

text: country

text: 's

text: Sunni

text: minority

text: held

text: power

text: under

text: former

text: leader

text: Saddam

text: Hussein

text: A

text: recent

text: political

text: crisis

text: has

text: raised

text: fears

text: of

text: a

text: return

text: of

text: the

text: sectarian

text: bloodshed

text: in

text: Iraq

text: that

text: ripped

text: the

text: country

text: apart

text: at

text: the

text: height

text: of

text: the

text: war

text: a

text: few

text: years

text: back

text: On

text: December

text: al

text: Maliki

text: a

text: Shiite

text: ordered

text: the

text: arrest

text: of

text: the

text: Sunni

text: vice

text: president

text: a

text: move

text: that

text: escalated

text: sectarian

text: tensions

text: and

text: threatened

text: to

text: collapse

text: Iraq

text: 's

text: fragile

text: power

text: sharing

text: government

text: The

text: political

text: turmoil

text: as

text: well

text: as

text: the

text: recent

text: spate

text: of

text: violence

text: erupted

text: just

text: days

text: after

text: the

text: final

text: U.S.

text: troops

text: withdrew

text: Violence

text: in

text: Iraq

text: has

text: declined

text: in

text: recent

text: years

text: but

text: last

text: week

text: 's

text: attacks

text: were

text: among

text: the

text: worst

text: since

text: August

text: when

text: a

text: series

text: of

text: coordinated

text: bombings

text: killed

text: at

text: least

text: people

text: in

text: Iraqi

text: cities

question: When did the violence and political turmoin erupted?

answer: just days after the final U.S. troops withdrew.

text: just days after the final U.S. troops withdrew.


text:
WASHINGTON (CNN)  -- Former congressman and Republican vice presidential candidate Jack Kemp died Saturday at age 73 after a battle with cancer, his family announced.

Jack Kemp, a former congressman from New York, was the GOP's vice presidential candidate in 1996.

A onetime professional football player, Kemp served nine terms in Congress as a representative from New York and was former Sen. Bob Dole's running mate in 1996. He was a leading advocate of "supply-side" tax cuts, advancing the argument that cutting taxes would boost economic growth and yield more revenue for the federal government.

"The only way to oppose a bad idea is to replace it with a good idea, and I like to think that I have spent my life trying to promote good ideas," he told CNN in a 1996 interview.

Kemp "passed peacefully into the presence of the Lord" Sunday evening, a family statement said. He disclosed his illness in January. Watch

"During the treatment of his cancer, Jack expressed his gratitude for the thoughts and prayers of so many friends, a gratitude which the Kemp family shares," the family said.  Watch how Jack Kemp made transition from football to politics Â»

Kemp quarterbacked the Buffalo Bills to back-to-back American Football League championships in 1964 and 1965, before the merger that created the modern NFL. When he retired in 1970 after 13 seasons, the California native ran for Congress and represented the Buffalo area for 18 years in the House of Representatives.  View photos of Jack Kemp's life Â»

"He championed free-market principles that improved the lives of millions of Americans and helped unleash an entrepreneurial spirit that all of us still benefit from today," Senate Minority Leader Mitch McConnell, R-Kentucky, said in a statement issued late Saturday.

The 1981 tax cuts signed into law by Ronald Reagan, which cut marginal tax rates from 70 percent to 50 percent, bore Kemp's name as a co-sponsor. Critics mocked the policy as "trickle-down" economics and pointed to the decade's growing budget deficits as evidence that supply-side theories didn't work, but it has been GOP orthodoxy ever since.

Kemp mounted an unsuccessful presidential bid in 1988, losing the Republican primaries to George H.W. Bush. But once in office, Bush made Kemp his secretary of housing and urban development -- a post Kemp used to promote what he called an "empowerment" agenda of tax breaks for urban businesses and expanded home ownership. iReport.com: Share your memories of Kemp

Unlike many of the other conservatives of his era, Kemp actively courted African-American support. In 1992, he told CNN's "Larry King Live" that the GOP "could be a Lincoln party in terms of attracting black and brown and men and women of color and low-income status and immigrant status who want a shot at the American dream for their children."

CNN Political Director Sam Feist contributed to this report.

text: WASHINGTON

text: CNN

text: Former

text: congressman

text: and

text: Republican

text: vice

text: presidential

text: candidate

text: Jack

text: Kemp

text: died

text: Saturday

text: at

text: age

text: after

text: a

text: battle

text: with

text: cancer

text: his

text: family

text: announced

text: Jack

text: Kemp

text: a

text: former

text: congressman

text: from

text: New

text: York

text: was

text: the

text: GOP

text: 's

text: vice

text: presidential

text: candidate

text: in

text: A

text: onetime

text: professional

text: football

text: player

text: Kemp

text: served

text: nine

text: terms

text: in

text: Congress

text: as

text: a

text: representative

text: from

text: New

text: York

text: and

text: was

text: former

text: Sen.

text: Bob

text: Dole

text: 's

text: running

text: mate

text: in

text: He

text: was

text: a

text: leading

text: advocate

text: of

text: supply

text: side

text: tax

text: cuts

text: advancing

text: the

text: argument

text: that

text: cutting

text: taxes

text: would

text: boost

text: economic

text: growth

text: and

text: yield

text: more

text: revenue

text: for

text: the

text: federal

text: government

text: The

text: only

text: way

text: to

text: oppose

text: a

text: bad

text: idea

text: is

text: to

text: replace

text: it

text: with

text: a

text: good

text: idea

text: and

text: I

text: like

text: to

text: think

text: that

text: I

text: have

text: spent

text: my

text: life

text: trying

text: to

text: promote

text: good

text: ideas

text: he

text: told

text: CNN

text: in

text: a

text: interview

text: Kemp

text: passed

text: peacefully

text: into

text: the

text: presence

text: of

text: the

text: Lord

text: Sunday

text: evening

text: a

text: family

text: statement

text: said

text: He

text: disclosed

text: his

text: illness

text: in

text: January

text: Watch

text: During

text: the

text: treatment

text: of

text: his

text: cancer

text: Jack

text: expressed

text: his

text: gratitude

text: for

text: the

text: thoughts

text: and

text: prayers

text: of

text: so

text: many

text: friends

text: a

text: gratitude

text: which

text: the

text: Kemp

text: family

text: shares

text: the

text: family

text: said

text: Watch

text: how

text: Jack

text: Kemp

text: made

text: transition

text: from

text: football

text: to

text: politics

text: Â

text: Kemp

text: quarterbacked

text: the

text: Buffalo

text: Bills

text: to

text: back

text: to

text: back

text: American

text: Football

text: League

text: championships

text: in

text: and

text: before

text: the

text: merger

text: that

text: created

text: the

text: modern

text: NFL

text: When

text: he

text: retired

text: in

text: after

text: seasons

text: the

text: California

text: native

text: ran

text: for

text: Congress

text: and

text: represented

text: the

text: Buffalo

text: area

text: for

text: years

text: in

text: the

text: House

text: of

text: Representatives

text: View

text: photos

text: of

text: Jack

text: Kemp

text: 's

text: life

text: Â

text: He

text: championed

text: free

text: market

text: principles

text: that

text: improved

text: the

text: lives

text: of

text: millions

text: of

text: Americans

text: and

text: helped

text: unleash

text: an

text: entrepreneurial

text: spirit

text: that

text: all

text: of

text: us

text: still

text: benefit

text: from

text: today

text: Senate

text: Minority

text: Leader

text: Mitch

text: McConnell

text: R

text: Kentucky

text: said

text: in

text: a

text: statement

text: issued

text: late

text: Saturday

text: The

text: tax

text: cuts

text: signed

text: into

text: law

text: by

text: Ronald

text: Reagan

text: which

text: cut

text: marginal

text: tax

text: rates

text: from

text: percent

text: to

text: percent

text: bore

text: Kemp

text: 's

text: name

text: as

text: a

text: co

text: sponsor

text: Critics

text: mocked

text: the

text: policy

text: as

text: trickle

text: down

text: economics

text: and

text: pointed

text: to

text: the

text: decade

text: 's

text: growing

text: budget

text: deficits

text: as

text: evidence

text: that

text: supply

text: side

text: theories

text: did

text: n't

text: work

text: but

text: it

text: has

text: been

text: GOP

text: orthodoxy

text: ever

text: since

text: Kemp

text: mounted

text: an

text: unsuccessful

text: presidential

text: bid

text: in

text: losing

text: the

text: Republican

text: primaries

text: to

text: George

text: H.W.

text: Bush

text: But

text: once

text: in

text: office

text: Bush

text: made

text: Kemp

text: his

text: secretary

text: of

text: housing

text: and

text: urban

text: development

text: a

text: post

text: Kemp

text: used

text: to

text: promote

text: what

text: he

text: called

text: an

text: empowerment

text: agenda

text: of

text: tax

text: breaks

text: for

text: urban

text: businesses

text: and

text: expanded

text: home

text: ownership

text: iReport.com

text: Share

text: your

text: memories

text: of

text: Kemp

text: Unlike

text: many

text: of

text: the

text: other

text: conservatives

text: of

text: his

text: era

text: Kemp

text: actively

text: courted

text: African

text: American

text: support

text: In

text: he

text: told

text: CNN

text: 's

text: Larry

text: King

text: Live

text: that

text: the

text: GOP

text: could

text: be

text: a

text: Lincoln

text: party

text: in

text: terms

text: of

text: attracting

text: black

text: and

text: brown

text: and

text: men

text: and

text: women

text: of

text: color

text: and

text: low

text: income

text: status

text: and

text: immigrant

text: status

text: who

text: want

text: a

text: shot

text: at

text: the

text: American

text: dream

text: for

text: their

text: children

text: CNN

text: Political

text: Director

text: Sam

text: Feist

text: contributed

text: to

text: this

text: report

question: What was Kemp battling?

answer: cancer,

text: cancer,

question: What was he fighting?

answer: cancer,

text: cancer,

question: When did Kemp die?

answer: Saturday

text: Saturday

question: Did he serve in other capacities?

answer: Kemp served nine terms in Congress as a representative from New York and was former Sen. Bob Dole's running mate

text: Kemp served nine terms in Congress as a representative from New York and was former Sen. Bob Dole's running mate

question: Who was Jack Kemp?

answer: Former congressman and Republican vice presidential candidate

text: Former congressman and Republican vice presidential candidate


text:
LEXINGTON, Georgia (CNN) -- A pack of dogs brought down and killed an animal-loving couple last weekend in rural northeastern Georgia, and a similar tragedy could occur anywhere dogs roam freely, authorities say.

Two dogs from the pack that killed two people await euthanasia Tuesday at a shelter in northeast Georgia.

Sheriff's deputies, code enforcement officers and other officials spent most of Monday and Tuesday rounding up 11 adult dogs and five puppies, Oglethorpe County Sheriff's Capt. Shalon Huff said. One more was trapped Wednesday morning, leaving one still to be captured, she said.

"We're just lucky this hasn't happened before," said Susan Fornash, director of the Madison Oglethorpe Animal Shelter in Danielsville, where the captured dogs were held before being euthanized Tuesday under orders from a local judge.

"We've had people bring in a dog because it killed a goat or chased their horses or something like that. And to me, that was just the forerunner of something like this."

Investigators say they believe that University of Georgia librarian Sherry Schweder, 65, went for her usual morning walk Saturday down Howard Thaxton Road, the narrow dirt lane that runs alongside the couple's property.

The dogs were familiar in the area, investigators say, having been left behind when the person who had been caring for some of them moved out of a home at the end of the lane.

Authorities theorize that halfway down the lane, about a quarter-mile from her home, Sherry Schweder was confronted by the dogs, which knocked her down and killed her.

Her husband, retired UGA language professor Lothar Schweder, became concerned when she didn't return and went out in their Honda CRX to look for her. When he found her lying in the lane and got out to shoo away the dogs, they attacked and killed him too, investigators believe.

Although no blood was seen on the dogs, other evidence and autopsy results convince authorities that the pack killed the Schweders, said Jim Fullington, special agent in charge of the Georgia Bureau of Investigation's office in nearby Athens.  Watch what investigators learned Â»

Black bears occasionally pass through the area, but none have been reported recently, said Sgt. Doyte Chaffin, a wildlife officer with the Georgia Department of Natural Resources. Investigators found no prints other than those of dogs and humans, Fullington added.

Humans can appear threatening to dogs that run in packs, said Bonnie Beaver, a professor in the department of small animal clinical sciences at Texas A&M University and an expert in pack behavior.

"From their perspective, a person is an alien, if you will," Beaver said. "It would be the same as we would relate to a grizzly bear."

Dogs kill an average of 10 to 20 people each year in the United States, Beaver said. The vast majority of those cases involve a single dog attacking a small child, she said.

As few as two or three dogs, whether urban, suburban or rural, can behave like a pack, Beaver said. And when pack mentality takes over, "they do insane things that they would not do" under normal circumstances, she said.

"My bet is there was one ringleader who kind of started it" in the Georgia case, Beaver said.

Something as simple as making eye contact may have made one dog in the group feel threatened, and its body language put the other dogs on edge, triggering an "escalation," she said.

Even though none of the dogs weighed more than about 40 pounds, their numbers would have overwhelmed the victims. Screaming, flailing or trying to run would only make things worse, Beaver said.

"To be slight people, as I'm told they both were, and the ages that they were, I don't know what they could have done. I don't know what I would do," Fornash said.

Jehovah's Witnesses walking up the lane to visit the lone house found the Schweders' mutilated bodies lying next to the car and called 911, Fullington said. He added that a sheriff's deputy had to fire a shot in the air to scare the dogs away.

The house the evangelists had intended to visit was unoccupied, but it was home to at least some of the dogs, Fullington said.

The owner, Howard Thaxton, had moved out some months earlier because of health and financial problems but had someone drive him every other day to leave food for the dogs, said GBI Special Agent Christopher Bish. Several empty 40-pound bags of Ol' Roy dog food were strewn about the property Tuesday.

Thaxton, an amputee who Bish said was recently released from a hospital, has been cooperating with authorities. Thaxton doesn't believe that those animals were capable of killing people, law enforcement officials said. He has not been charged.

"We are still in discussions with the district attorney about culpability and what have you, but no decisions have been reached yet," Bish said.

Bish said it took 14 visits to Thaxton's house to make initial contact with him. CNN's efforts to find Thaxton for comment were unsuccessful.

Stopping the dogs from reproducing might have prevented the tragedy, Fornash said. Just a few dogs can multiply rapidly into a menace, she added.  Watch how dog bites might be prevented Â»

"In the blink of an eye, we have a pack of 50 dogs because people don't spay and neuter," she said.

It took about 90 minutes to euthanize all 16 dogs, several of which were maggot-infested, Fornash said. No one asked that they be checked for rabies, and the sheriff directed that the carcasses be cremated immediately, she said.

"I'm heartbroken for the family," Fornash said. "I can't even imagine how they must feel. And I'm also very sad for those animals, because if they had been cared for the way they should have been, this wouldn't have happened. It's not their fault."

The Schweders' seven dogs and four of their cats were to be brought to the shelter Wednesday and eventually adopted out, she said.

Thaxton's wood frame house that served as the dogs' home sits at the edge of a forest dotted with hunting campers and abandoned 1950s vehicles. Empty 5-gallon water bottles fill a ravine behind the house, and a derelict 1980s Chevy Caprice crouches next to a rusting John Deere tractor under a shade tree.

After all the sheriff's deputies and trappers had left Tuesday afternoon, a scruffy red dog appeared, ears up, next to the tractor. The animal, alone, scampered off into the woods.

text: LEXINGTON

text: Georgia

text: CNN

text: A

text: pack

text: of

text: dogs

text: brought

text: down

text: and

text: killed

text: an

text: animal

text: loving

text: couple

text: last

text: weekend

text: in

text: rural

text: northeastern

text: Georgia

text: and

text: a

text: similar

text: tragedy

text: could

text: occur

text: anywhere

text: dogs

text: roam

text: freely

text: authorities

text: say

text: Two

text: dogs

text: from

text: the

text: pack

text: that

text: killed

text: two

text: people

text: await

text: euthanasia

text: Tuesday

text: at

text: a

text: shelter

text: in

text: northeast

text: Georgia

text: Sheriff

text: 's

text: deputies

text: code

text: enforcement

text: officers

text: and

text: other

text: officials

text: spent

text: most

text: of

text: Monday

text: and

text: Tuesday

text: rounding

text: up

text: adult

text: dogs

text: and

text: five

text: puppies

text: Oglethorpe

text: County

text: Sheriff

text: 's

text: Capt

text: Shalon

text: Huff

text: said

text: One

text: more

text: was

text: trapped

text: Wednesday

text: morning

text: leaving

text: one

text: still

text: to

text: be

text: captured

text: she

text: said

text: We

text: 're

text: just

text: lucky

text: this

text: has

text: n't

text: happened

text: before

text: said

text: Susan

text: Fornash

text: director

text: of

text: the

text: Madison

text: Oglethorpe

text: Animal

text: Shelter

text: in

text: Danielsville

text: where

text: the

text: captured

text: dogs

text: were

text: held

text: before

text: being

text: euthanized

text: Tuesday

text: under

text: orders

text: from

text: a

text: local

text: judge

text: We

text: 've

text: had

text: people

text: bring

text: in

text: a

text: dog

text: because

text: it

text: killed

text: a

text: goat

text: or

text: chased

text: their

text: horses

text: or

text: something

text: like

text: that

text: And

text: to

text: me

text: that

text: was

text: just

text: the

text: forerunner

text: of

text: something

text: like

text: this

text: Investigators

text: say

text: they

text: believe

text: that

text: University

text: of

text: Georgia

text: librarian

text: Sherry

text: Schweder

text: went

text: for

text: her

text: usual

text: morning

text: walk

text: Saturday

text: down

text: Howard

text: Thaxton

text: Road

text: the

text: narrow

text: dirt

text: lane

text: that

text: runs

text: alongside

text: the

text: couple

text: 's

text: property

text: The

text: dogs

text: were

text: familiar

text: in

text: the

text: area

text: investigators

text: say

text: having

text: been

text: left

text: behind

text: when

text: the

text: person

text: who

text: had

text: been

text: caring

text: for

text: some

text: of

text: them

text: moved

text: out

text: of

text: a

text: home

text: at

text: the

text: end

text: of

text: the

text: lane

text: Authorities

text: theorize

text: that

text: halfway

text: down

text: the

text: lane

text: about

text: a

text: quarter

text: mile

text: from

text: her

text: home

text: Sherry

text: Schweder

text: was

text: confronted

text: by

text: the

text: dogs

text: which

text: knocked

text: her

text: down

text: and

text: killed

text: her

text: Her

text: husband

text: retired

text: UGA

text: language

text: professor

text: Lothar

text: Schweder

text: became

text: concerned

text: when

text: she

text: did

text: n't

text: return

text: and

text: went

text: out

text: in

text: their

text: Honda

text: CRX

text: to

text: look

text: for

text: her

text: When

text: he

text: found

text: her

text: lying

text: in

text: the

text: lane

text: and

text: got

text: out

text: to

text: shoo

text: away

text: the

text: dogs

text: they

text: attacked

text: and

text: killed

text: him

text: too

text: investigators

text: believe

text: Although

text: no

text: blood

text: was

text: seen

text: on

text: the

text: dogs

text: other

text: evidence

text: and

text: autopsy

text: results

text: convince

text: authorities

text: that

text: the

text: pack

text: killed

text: the

text: Schweders

text: said

text: Jim

text: Fullington

text: special

text: agent

text: in

text: charge

text: of

text: the

text: Georgia

text: Bureau

text: of

text: Investigation

text: 's

text: office

text: in

text: nearby

text: Athens

text: Watch

text: what

text: investigators

text: learned

text: Â

text: Black

text: bears

text: occasionally

text: pass

text: through

text: the

text: area

text: but

text: have

text: been

text: reported

text: recently

text: said

text: Sgt

text: Doyte

text: Chaffin

text: a

text: wildlife

text: officer

text: with

text: the

text: Georgia

text: Department

text: of

text: Natural

text: Resources

text: Investigators

text: found

text: no

text: prints

text: other

text: than

text: those

text: of

text: dogs

text: and

text: humans

text: Fullington

text: added

text: Humans

text: can

text: appear

text: threatening

text: to

text: dogs

text: that

text: run

text: in

text: packs

text: said

text: Bonnie

text: Beaver

text: a

text: professor

text: in

text: the

text: department

text: of

text: small

text: animal

text: clinical

text: sciences

text: at

text: Texas

text: A&M

text: University

text: and

text: an

text: expert

text: in

text: pack

text: behavior

text: From

text: their

text: perspective

text: a

text: person

text: is

text: an

text: alien

text: if

text: you

text: will

text: Beaver

text: said

text: It

text: would

text: be

text: the

text: same

text: as

text: we

text: would

text: relate

text: to

text: a

text: grizzly

text: bear

text: Dogs

text: kill

text: an

text: average

text: of

text: to

text: people

text: each

text: year

text: in

text: the

text: United

text: States

text: Beaver

text: said

text: The

text: vast

text: majority

text: of

text: those

text: cases

text: involve

text: a

text: single

text: dog

text: attacking

text: a

text: small

text: child

text: she

text: said

text: As

text: few

text: as

text: two

text: or

text: three

text: dogs

text: whether

text: urban

text: suburban

text: or

text: rural

text: can

text: behave

text: like

text: a

text: pack

text: Beaver

text: said

text: And

text: when

text: pack

text: mentality

text: takes

text: over

text: they

text: do

text: insane

text: things

text: that

text: they

text: would

text: not

text: do

text: under

text: normal

text: circumstances

text: she

text: said

text: My

text: bet

text: is

text: there

text: was

text: one

text: ringleader

text: who

text: kind

text: of

text: started

text: it

text: in

text: the

text: Georgia

text: case

text: Beaver

text: said

text: Something

text: as

text: simple

text: as

text: making

text: eye

text: contact

text: may

text: have

text: made

text: one

text: dog

text: in

text: the

text: group

text: feel

text: threatened

text: and

text: its

text: body

text: language

text: put

text: the

text: other

text: dogs

text: on

text: edge

text: triggering

text: an

text: escalation

text: she

text: said

text: Even

text: though

text: of

text: the

text: dogs

text: weighed

text: more

text: than

text: about

text: pounds

text: their

text: numbers

text: would

text: have

text: overwhelmed

text: the

text: victims

text: Screaming

text: flailing

text: or

text: trying

text: to

text: run

text: would

text: only

text: make

text: things

text: worse

text: Beaver

text: said

text: To

text: be

text: slight

text: people

text: as

text: I

text: 'm

text: told

text: they

text: both

text: were

text: and

text: the

text: ages

text: that

text: they

text: were

text: I

text: do

text: n't

text: know

text: what

text: they

text: could

text: have

text: done

text: I

text: do

text: n't

text: know

text: what

text: I

text: would

text: do

text: Fornash

text: said

text: Jehovah

text: 's

text: Witnesses

text: walking

text: up

text: the

text: lane

text: to

text: visit

text: the

text: lone

text: house

text: found

text: the

text: Schweders

text: mutilated

text: bodies

text: lying

text: next

text: to

text: the

text: car

text: and

text: called

text: Fullington

text: said

text: He

text: added

text: that

text: a

text: sheriff

text: 's

text: deputy

text: had

text: to

text: fire

text: a

text: shot

text: in

text: the

text: air

text: to

text: scare

text: the

text: dogs

text: away

text: The

text: house

text: the

text: evangelists

text: had

text: intended

text: to

text: visit

text: was

text: unoccupied

text: but

text: it

text: was

text: home

text: to

text: at

text: least

text: some

text: of

text: the

text: dogs

text: Fullington

text: said

text: The

text: owner

text: Howard

text: Thaxton

text: had

text: moved

text: out

text: some

text: months

text: earlier

text: because

text: of

text: health

text: and

text: financial

text: problems

text: but

text: had

text: someone

text: drive

text: him

text: every

text: other

text: day

text: to

text: leave

text: food

text: for

text: the

text: dogs

text: said

text: GBI

text: Special

text: Agent

text: Christopher

text: Bish

text: Several

text: empty

text: bags

text: of

text: Ol'

text: Roy

text: dog

text: food

text: were

text: strewn

text: about

text: the

text: property

text: Tuesday

text: Thaxton

text: an

text: amputee

text: who

text: Bish

text: said

text: was

text: recently

text: released

text: from

text: a

text: hospital

text: has

text: been

text: cooperating

text: with

text: authorities

text: Thaxton

text: does

text: n't

text: believe

text: that

text: those

text: animals

text: were

text: capable

text: of

text: killing

text: people

text: law

text: enforcement

text: officials

text: said

text: He

text: has

text: not

text: been

text: charged

text: We

text: are

text: still

text: in

text: discussions

text: with

text: the

text: district

text: attorney

text: about

text: culpability

text: and

text: what

text: have

text: you

text: but

text: no

text: decisions

text: have

text: been

text: reached

text: yet

text: Bish

text: said

text: Bish

text: said

text: it

text: took

text: visits

text: to

text: Thaxton

text: 's

text: house

text: to

text: make

text: initial

text: contact

text: with

text: him

text: CNN

text: 's

text: efforts

text: to

text: find

text: Thaxton

text: for

text: comment

text: were

text: unsuccessful

text: Stopping

text: the

text: dogs

text: from

text: reproducing

text: might

text: have

text: prevented

text: the

text: tragedy

text: Fornash

text: said

text: Just

text: a

text: few

text: dogs

text: can

text: multiply

text: rapidly

text: into

text: a

text: menace

text: she

text: added

text: Watch

text: how

text: dog

text: bites

text: might

text: be

text: prevented

text: Â

text: In

text: the

text: blink

text: of

text: an

text: eye

text: we

text: have

text: a

text: pack

text: of

text: dogs

text: because

text: people

text: do

text: n't

text: spay

text: and

text: neuter

text: she

text: said

text: It

text: took

text: about

text: minutes

text: to

text: euthanize

text: all

text: dogs

text: several

text: of

text: which

text: were

text: maggot

text: infested

text: Fornash

text: said

text: No

text: one

text: asked

text: that

text: they

text: be

text: checked

text: for

text: rabies

text: and

text: the

text: sheriff

text: directed

text: that

text: the

text: carcasses

text: be

text: cremated

text: immediately

text: she

text: said

text: I

text: 'm

text: heartbroken

text: for

text: the

text: family

text: Fornash

text: said

text: I

text: ca

text: n't

text: even

text: imagine

text: how

text: they

text: must

text: feel

text: And

text: I

text: 'm

text: also

text: very

text: sad

text: for

text: those

text: animals

text: because

text: if

text: they

text: had

text: been

text: cared

text: for

text: the

text: way

text: they

text: should

text: have

text: been

text: this

text: would

text: n't

text: have

text: happened

text: It

text: 's

text: not

text: their

text: fault

text: The

text: Schweders

text: seven

text: dogs

text: and

text: four

text: of

text: their

text: cats

text: were

text: to

text: be

text: brought

text: to

text: the

text: shelter

text: Wednesday

text: and

text: eventually

text: adopted

text: out

text: she

text: said

text: Thaxton

text: 's

text: wood

text: frame

text: house

text: that

text: served

text: as

text: the

text: dogs

text: home

text: sits

text: at

text: the

text: edge

text: of

text: a

text: forest

text: dotted

text: with

text: hunting

text: campers

text: and

text: abandoned

text: vehicles

text: Empty

text: water

text: bottles

text: fill

text: a

text: ravine

text: behind

text: the

text: house

text: and

text: a

text: derelict

text: Chevy

text: Caprice

text: crouches

text: next

text: to

text: a

text: rusting

text: John

text: Deere

text: tractor

text: under

text: a

text: shade

text: tree

text: After

text: all

text: the

text: sheriff

text: 's

text: deputies

text: and

text: trappers

text: had

text: left

text: Tuesday

text: afternoon

text: a

text: scruffy

text: red

text: dog

text: appeared

text: ears

text: up

text: next

text: to

text: the

text: tractor

text: The

text: animal

text: alone

text: scampered

text: off

text: into

text: the

text: woods

question: How many animals were euthanized?

answer: l 1

text: l 1

question: According to the shelter director, what could have prevented the tragedy?

answer: Stopping the dogs from reproducing might

text: Stopping the dogs from reproducing might

question: Who did the dogs attack?

answer: animal-loving couple last weekend

text: animal-loving couple last weekend

question: What could have prevented this?

answer: pping the dogs from reproducing might hav

text: pping the dogs from reproducing might hav

question: In which state did the dog attack take place?

answer: Georgia,

text: Georgia,

question: What was the cause of the attack?

answer: pack of dogs

text: pack of dogs


text:
DECATUR, Georgia (CNN) -- One falling tree saved John Kiefer from another.

Windstorms in Atlanta, Georgia, uprooted several trees, including this one that fell through John Kiefer's home.

Kiefer was sitting on his sofa Monday morning while a brief but intense windstorm blew through the Atlanta, Georgia, area, including Decatur. He heard a tree crash in his backyard and got up to investigate.

That tree knocked down a chain-link fence, and Kiefer was getting worried about several other large backyard trees that were swaying in the wind.

"And as I'm watching those move and sway, this crashed down," he said.

"This" was a 50-foot red oak in the front yard that fell onto his living room, splitting his house in half and coming to rest a few inches above where he had been sitting on the couch.

"Yeah, it's a mess," he said as he surveyed the tangle of broken wood beams, plaster, bricks and gray insulation.

Curiously, Kiefer's electricity was still on, and cable TV was still playing less then 10 feet away from the massive tree trunk in his living room. An ancient upright piano and various collectibles on it were unharmed.

Kiefer had been away over the weekend, visiting a son in Cincinnati, Ohio, and his three dogs were still at the kennel where he boarded them. They'll be staying there a bit longer.

Three years of drought in Georgia have weakened trees' root systems, and recent heavy rains loosened the soil around them, said Kiefer, who works at a plastics recycling company in nearby Stone Mountain. The windstorm brought down hundreds of trees in the area, including one that crushed a car, killing the person inside, and one that fell on a nursing home, where no one was hurt, CNN affiliate WGCL reported. Service was disrupted on Atlanta's MARTA rail transit system, according to WGCL.

Power and traffic signals were out in many areas.  Watch CNN report about dangerous storms Â»

Despite having a tree lying across his living room, Kiefer seemed remarkably calm, but that was a new development.

"Couple of hours ago my knees where shaking pretty good," he admitted. But, he said, God was looking out for him.

"Actually, he saved my life," Kiefer said. "When I came outside to investigate that noise, that was my warning to get up off that couch. And then, not to go back in the house when it got real windy, but to stand right there where that tree stopped. There are no coincidences."

text: DECATUR

text: Georgia

text: CNN

text: One

text: falling

text: tree

text: saved

text: John

text: Kiefer

text: from

text: another

text: Windstorms

text: in

text: Atlanta

text: Georgia

text: uprooted

text: several

text: trees

text: including

text: this

text: one

text: that

text: fell

text: through

text: John

text: Kiefer

text: 's

text: home

text: Kiefer

text: was

text: sitting

text: on

text: his

text: sofa

text: Monday

text: morning

text: while

text: a

text: brief

text: but

text: intense

text: windstorm

text: blew

text: through

text: the

text: Atlanta

text: Georgia

text: area

text: including

text: Decatur

text: He

text: heard

text: a

text: tree

text: crash

text: in

text: his

text: backyard

text: and

text: got

text: up

text: to

text: investigate

text: That

text: tree

text: knocked

text: down

text: a

text: chain

text: link

text: fence

text: and

text: Kiefer

text: was

text: getting

text: worried

text: about

text: several

text: other

text: large

text: backyard

text: trees

text: that

text: were

text: swaying

text: in

text: the

text: wind

text: And

text: as

text: I

text: 'm

text: watching

text: those

text: move

text: and

text: sway

text: this

text: crashed

text: down

text: he

text: said

text: This

text: was

text: a

text: red

text: oak

text: in

text: the

text: front

text: yard

text: that

text: fell

text: onto

text: his

text: living

text: room

text: splitting

text: his

text: house

text: in

text: half

text: and

text: coming

text: to

text: rest

text: a

text: few

text: inches

text: above

text: where

text: he

text: had

text: been

text: sitting

text: on

text: the

text: couch

text: Yeah

text: it

text: 's

text: a

text: mess

text: he

text: said

text: as

text: he

text: surveyed

text: the

text: tangle

text: of

text: broken

text: wood

text: beams

text: plaster

text: bricks

text: and

text: gray

text: insulation

text: Curiously

text: Kiefer

text: 's

text: electricity

text: was

text: still

text: on

text: and

text: cable

text: TV

text: was

text: still

text: playing

text: less

text: then

text: feet

text: away

text: from

text: the

text: massive

text: tree

text: trunk

text: in

text: his

text: living

text: room

text: An

text: ancient

text: upright

text: piano

text: and

text: various

text: collectibles

text: on

text: it

text: were

text: unharmed

text: Kiefer

text: had

text: been

text: away

text: over

text: the

text: weekend

text: visiting

text: a

text: son

text: in

text: Cincinnati

text: Ohio

text: and

text: his

text: three

text: dogs

text: were

text: still

text: at

text: the

text: kennel

text: where

text: he

text: boarded

text: them

text: They

text: 'll

text: be

text: staying

text: there

text: a

text: bit

text: longer

text: Three

text: years

text: of

text: drought

text: in

text: Georgia

text: have

text: weakened

text: trees

text: root

text: systems

text: and

text: recent

text: heavy

text: rains

text: loosened

text: the

text: soil

text: around

text: them

text: said

text: Kiefer

text: who

text: works

text: at

text: a

text: plastics

text: recycling

text: company

text: in

text: nearby

text: Stone

text: Mountain

text: The

text: windstorm

text: brought

text: down

text: hundreds

text: of

text: trees

text: in

text: the

text: area

text: including

text: one

text: that

text: crushed

text: a

text: car

text: killing

text: the

text: person

text: inside

text: and

text: one

text: that

text: fell

text: on

text: a

text: nursing

text: home

text: where

text: no

text: one

text: was

text: hurt

text: CNN

text: affiliate

text: WGCL

text: reported

text: Service

text: was

text: disrupted

text: on

text: Atlanta

text: 's

text: MARTA

text: rail

text: transit

text: system

text: according

text: to

text: WGCL

text: Power

text: and

text: traffic

text: signals

text: were

text: out

text: in

text: many

text: areas

text: Watch

text: CNN

text: report

text: about

text: dangerous

text: storms

text: Â

text: Despite

text: having

text: a

text: tree

text: lying

text: across

text: his

text: living

text: room

text: Kiefer

text: seemed

text: remarkably

text: calm

text: but

text: that

text: was

text: a

text: new

text: development

text: Couple

text: of

text: hours

text: ago

text: my

text: knees

text: where

text: shaking

text: pretty

text: good

text: he

text: admitted

text: But

text: he

text: said

text: God

text: was

text: looking

text: out

text: for

text: him

text: Actually

text: he

text: saved

text: my

text: life

text: Kiefer

text: said

text: When

text: I

text: came

text: outside

text: to

text: investigate

text: that

text: noise

text: that

text: was

text: my

text: warning

text: to

text: get

text: up

text: off

text: that

text: couch

text: And

text: then

text: not

text: to

text: go

text: back

text: in

text: the

text: house

text: when

text: it

text: got

text: real

text: windy

text: but

text: to

text: stand

text: right

text: there

text: where

text: that

text: tree

text: stopped

text: There

text: are

text: no

text: coincidences

question: Where was the person killed?

answer: Atlanta, Georgia,

text: Atlanta, Georgia,

question: Where did the windstorm blow through?

answer: Atlanta, Georgia,

text: Atlanta, Georgia,

question: What fell on a nursing home?

answer: trees

text: trees

question: What did it bring down?

answer: a chain-link fence,

text: a chain-link fence,

question: What did the winds bring down?

answer: hundreds of trees

text: hundreds of trees

question: Where did it blow through?

answer: Atlanta, Georgia,

text: Atlanta, Georgia,


text:
PHILADELPHIA, Pennsylvania (CNN)  -- If you're out of work like Steve Lippe, who was laid off from his job as a salesman in January, you know you already have problems. But looking at the fine print that came with his new unemployment debit card, he became livid.

A brochure that goes out to Pennsylvanians seeking unemployment via debit card lists a number of fees.

"A $1.50 [fee] here, a $1.50 there," he said. "Forty cents for a balance inquiry. Fifty cents to have your card denied. Thirty-five cents to have your account accessed by telephone."

He was quoting fees listed in a brochure that goes out to every unemployed person in Pennsylvania who chooses to receive benefits via debit card. He was given the option when he filed for jobless payments: Wait 10 days for a check or get the card immediately. Like most of the 925,000 state residents who received unemployment benefits in February in Pennsylvania, he chose the debit card and only then, he says, did he learn about the fees.

"I was outraged by it," he told CNN. "I was very noisy about it. I just couldn't believe it. An outrage is just too weak a word. It's obscene."

According to the U.S. Department of Labor, 30 states offer direct deposit cards to the unemployed. Many of the nation's biggest banks have contracts with the individual states. JP Morgan Chase, for instance, has contracts with seven states and has pending deals with two others, according to Chase spokesman John T. Murray. About 10 states, the Labor Department says, pay by check only.

The National Consumer Law Center says fees range from 40 cents to a high of $3 per transaction, if the debit card is used at an out-of-network ATM. Most banks give jobless debit card users one free withdrawal per deposit period, which averages every other week in most states. But consumer advocates, including the Law Center, say the unemployed "should be able to obtain cash and perform basic functions with no fees."

A key Democratic member of the House Financial Services Committee, which oversees bank regulation and theTroubled Asset Relief Program (TARP), told CNN she agrees wholeheartedly.

"Fees should not be attached to unemployment benefits that the taxpayers are paying to help Americans," Rep. Carolyn Maloney, D-New York, told CNN. "Particularly, these fees should not be attached by banks that are getting TARP money and are being supported by taxpayer dollars."

CNN asked some of the major banks involved in the debit card program for a response. Spokesmen for JP Morgan Chase, Wachovia, Bank of America and Wells Fargo all directed us to the individual state governments for comment.

The acting secretary of labor and industry for Pennsylvania is Sandi Vito. Via e-mail, her staff invited CNN reporters to Allentown, Pennsylvania, where she was taking part at a public meeting at an elementary school. Afterward, she said, she would answer questions about the debit card fees.

But when the meeting ended, her staff said she was too busy to talk.  Watch Vito leave meeting in a hurry Â»

Her spokesman, Troy A. Thompson, spoke with CNN after Vito left.

"The distribution system for people getting their benefits has been improved by the use of debit cards, way above and beyond the distribution by check," he said.

The U.S. Department of Labor provided what it called "talking points" to CNN when asked for comment on the fee structure.

"States can do a better job negotiating fees with banks," the department said. "Many states have obtained terms far more favorable to claimants than those described in media reports."

In addition, according to the talking points, the Labor Department said it was aware states are offering unemployment debit cards for good reasons:

â¢  It is less expensive for claimants without bank accounts because they don't need to pay check cashing fees.

â¢ Claimants can use the card free at merchants and therefore don't need to carry excess cash.

â¢ Generally, these cards are safer and more secure than checks.

"We will be working with states as they gain experience with debit cards to resolve these problems related to fees," the Labor Department said.

text: PHILADELPHIA

text: Pennsylvania

text: CNN

text: If

text: you

text: 're

text: out

text: of

text: work

text: like

text: Steve

text: Lippe

text: who

text: was

text: laid

text: off

text: from

text: his

text: job

text: as

text: a

text: salesman

text: in

text: January

text: you

text: know

text: you

text: already

text: have

text: problems

text: But

text: looking

text: at

text: the

text: fine

text: print

text: that

text: came

text: with

text: his

text: new

text: unemployment

text: debit

text: card

text: he

text: became

text: livid

text: A

text: brochure

text: that

text: goes

text: out

text: to

text: Pennsylvanians

text: seeking

text: unemployment

text: via

text: debit

text: card

text: lists

text: a

text: number

text: of

text: fees

text: A

text: fee

text: here

text: a

text: there

text: he

text: said

text: Forty

text: cents

text: for

text: a

text: balance

text: inquiry

text: Fifty

text: cents

text: to

text: have

text: your

text: card

text: denied

text: Thirty

text: five

text: cents

text: to

text: have

text: your

text: account

text: accessed

text: by

text: telephone

text: He

text: was

text: quoting

text: fees

text: listed

text: in

text: a

text: brochure

text: that

text: goes

text: out

text: to

text: every

text: unemployed

text: person

text: in

text: Pennsylvania

text: who

text: chooses

text: to

text: receive

text: benefits

text: via

text: debit

text: card

text: He

text: was

text: given

text: the

text: option

text: when

text: he

text: filed

text: for

text: jobless

text: payments

text: Wait

text: days

text: for

text: a

text: check

text: or

text: get

text: the

text: card

text: immediately

text: Like

text: most

text: of

text: the

text: state

text: residents

text: who

text: received

text: unemployment

text: benefits

text: in

text: February

text: in

text: Pennsylvania

text: he

text: chose

text: the

text: debit

text: card

text: and

text: only

text: then

text: he

text: says

text: did

text: he

text: learn

text: about

text: the

text: fees

text: I

text: was

text: outraged

text: by

text: it

text: he

text: told

text: CNN

text: I

text: was

text: very

text: noisy

text: about

text: it

text: I

text: just

text: could

text: n't

text: believe

text: it

text: An

text: outrage

text: is

text: just

text: too

text: weak

text: a

text: word

text: It

text: 's

text: obscene

text: According

text: to

text: the

text: U.S.

text: Department

text: of

text: Labor

text: states

text: offer

text: direct

text: deposit

text: cards

text: to

text: the

text: unemployed

text: Many

text: of

text: the

text: nation

text: 's

text: biggest

text: banks

text: have

text: contracts

text: with

text: the

text: individual

text: states

text: JP

text: Morgan

text: Chase

text: for

text: instance

text: has

text: contracts

text: with

text: seven

text: states

text: and

text: has

text: pending

text: deals

text: with

text: two

text: others

text: according

text: to

text: Chase

text: spokesman

text: John

text: T.

text: Murray

text: About

text: states

text: the

text: Labor

text: Department

text: says

text: pay

text: by

text: check

text: only

text: The

text: National

text: Consumer

text: Law

text: Center

text: says

text: fees

text: range

text: from

text: cents

text: to

text: a

text: high

text: of

text: per

text: transaction

text: if

text: the

text: debit

text: card

text: is

text: used

text: at

text: an

text: out

text: of

text: network

text: ATM

text: Most

text: banks

text: give

text: jobless

text: debit

text: card

text: users

text: one

text: free

text: withdrawal

text: per

text: deposit

text: period

text: which

text: averages

text: every

text: other

text: week

text: in

text: most

text: states

text: But

text: consumer

text: advocates

text: including

text: the

text: Law

text: Center

text: say

text: the

text: unemployed

text: should

text: be

text: able

text: to

text: obtain

text: cash

text: and

text: perform

text: basic

text: functions

text: with

text: no

text: fees

text: A

text: key

text: Democratic

text: member

text: of

text: the

text: House

text: Financial

text: Services

text: Committee

text: which

text: oversees

text: bank

text: regulation

text: and

text: theTroubled

text: Asset

text: Relief

text: Program

text: TARP

text: told

text: CNN

text: she

text: agrees

text: wholeheartedly

text: Fees

text: should

text: not

text: be

text: attached

text: to

text: unemployment

text: benefits

text: that

text: the

text: taxpayers

text: are

text: paying

text: to

text: help

text: Americans

text: Rep.

text: Carolyn

text: Maloney

text: D

text: New

text: York

text: told

text: CNN

text: Particularly

text: these

text: fees

text: should

text: not

text: be

text: attached

text: by

text: banks

text: that

text: are

text: getting

text: TARP

text: money

text: and

text: are

text: being

text: supported

text: by

text: taxpayer

text: dollars

text: CNN

text: asked

text: some

text: of

text: the

text: major

text: banks

text: involved

text: in

text: the

text: debit

text: card

text: program

text: for

text: a

text: response

text: Spokesmen

text: for

text: JP

text: Morgan

text: Chase

text: Wachovia

text: Bank

text: of

text: America

text: and

text: Wells

text: Fargo

text: all

text: directed

text: us

text: to

text: the

text: individual

text: state

text: governments

text: for

text: comment

text: The

text: acting

text: secretary

text: of

text: labor

text: and

text: industry

text: for

text: Pennsylvania

text: is

text: Sandi

text: Vito

text: Via

text: e

text: mail

text: her

text: staff

text: invited

text: CNN

text: reporters

text: to

text: Allentown

text: Pennsylvania

text: where

text: she

text: was

text: taking

text: part

text: at

text: a

text: public

text: meeting

text: at

text: an

text: elementary

text: school

text: Afterward

text: she

text: said

text: she

text: would

text: answer

text: questions

text: about

text: the

text: debit

text: card

text: fees

text: But

text: when

text: the

text: meeting

text: ended

text: her

text: staff

text: said

text: she

text: was

text: too

text: busy

text: to

text: talk

text: Watch

text: Vito

text: leave

text: meeting

text: in

text: a

text: hurry

text: Â

text: Her

text: spokesman

text: Troy

text: A.

text: Thompson

text: spoke

text: with

text: CNN

text: after

text: Vito

text: left

text: The

text: distribution

text: system

text: for

text: people

text: getting

text: their

text: benefits

text: has

text: been

text: improved

text: by

text: the

text: use

text: of

text: debit

text: cards

text: way

text: above

text: and

text: beyond

text: the

text: distribution

text: by

text: check

text: he

text: said

text: The

text: U.S.

text: Department

text: of

text: Labor

text: provided

text: what

text: it

text: called

text: talking

text: points

text: to

text: CNN

text: when

text: asked

text: for

text: comment

text: on

text: the

text: fee

text: structure

text: States

text: can

text: do

text: a

text: better

text: job

text: negotiating

text: fees

text: with

text: banks

text: the

text: department

text: said

text: Many

text: states

text: have

text: obtained

text: terms

text: far

text: more

text: favorable

text: to

text: claimants

text: than

text: those

text: described

text: in

text: media

text: reports

text: In

text: addition

text: according

text: to

text: the

text: talking

text: points

text: the

text: Labor

text: Department

text: said

text: it

text: was

text: aware

text: states

text: are

text: offering

text: unemployment

text: debit

text: cards

text: for

text: good

text: reasons

text: â¢

text: It

text: is

text: less

text: expensive

text: for

text: claimants

text: without

text: bank

text: accounts

text: because

text: they

text: do

text: n't

text: need

text: to

text: pay

text: check

text: cashing

text: fees

text: â¢

text: Claimants

text: can

text: use

text: the

text: card

text: free

text: at

text: merchants

text: and

text: therefore

text: do

text: n't

text: need

text: to

text: carry

text: excess

text: cash

text: â¢

text: Generally

text: these

text: cards

text: are

text: safer

text: and

text: more

text: secure

text: than

text: checks

text: We

text: will

text: be

text: working

text: with

text: states

text: as

text: they

text: gain

text: experience

text: with

text: debit

text: cards

text: to

text: resolve

text: these

text: problems

text: related

text: to

text: fees

text: the

text: Labor

text: Department

text: said

question: what say U.S. Department of Labor?

answer: 30 states offer direct deposit cards to the unemployed.

text: 30 states offer direct deposit cards to the unemployed.

question: Who says states can do better in negotiating with banks?

answer: U.S. Department of Labor

text: U.S. Department of Labor

question: What is being offered in lieu of checks?

answer: unemployment debit card,

text: unemployment debit card,

question: What system has been greatly improved?

answer: "The distribution

text: "The distribution

question: What's the benifits of debit cards over checks?

answer: ck cashing fee

text: ck cashing fee


text:
(CNN) -- The federal government is starting to deploy full-body scanning machines to 11 airports across the United States, Homeland Security Secretary Janet Napolitano announced Friday.

Forty body-imaging machines already have been put into use at 19 airports nationwide as part of a field test, according the Department of Homeland Security. The Transportation Security Administration expects to deploy 450 units by the end of this year.

"By accelerating the deployment of this technology, we are enhancing our capability to detect and disrupt threats of terrorism across the nation," Napolitano said in a statement.

The first of the new units are being installed Friday at Boston's Logan International Airport, according to a DHS statement.

The list of other airports set to receive the scanners by the end of summer includes Chicago O'Hare International, Fort Lauderdale-Hollywood International, Cincinnati/Northern Kentucky International, Mineta San JosÃ© International, Los Angeles International, Port Columbus International, Oakland International, San Diego International, Kansas City International and Charlotte Douglas International.

The imaging machines are being funded through the Obama administration's $862 billion economic stimulus plan.

Under existing protocols, full-body scans are optional at airport checkpoints. Travelers who decline the scans are funneled to a location where they may be given a pat down and subjected to other tests such as swabs that can detect minute traces of explosives on hands or luggage.

The TSA said most passengers prefer a body scan to a pat down. But others have objected to the body scans, calling them electronic strip searches.

Passenger privacy is maintained during the scannning process by blurring all images, deleting images after they are viewed and placing the screener viewing the images in a remote location, according to DHS officials.

Acting TSA Administrator Gale Rossides testified before Congress on Thursday that the machines will not significantly slow the passenger screening process, saying it will be done at the same time as carry-on baggage screening.

The TSA has spent years testing full-body imagers. Plans to deploy them this year were given added urgency after the arrest of a Nigerian man, Umar Farouk AbdulMutallab, who has been accused of attempting to detonate an explosive sewn into his underwear on a December 25 flight.

Field testing of full-body scanners already is under way at the following 19 airports:

â¢ Albuquerque International Sunport Airport  â¢ Hartsfield-Jackson Atlanta International Airport  â¢ Baltimore/Washington International Thurgood Marshall Airport  â¢ Denver International Airport  â¢ Dallas/Fort Worth International Airport  â¢ Detroit Metro Airport  â¢ Indianapolis International Airport  â¢ Jacksonville International Airport  â¢ McCarran International Airport  â¢ Los Angeles International Airport  â¢ Miami International Airport  â¢ Phoenix Sky Harbor International Airport  â¢ Raleigh-Durham International Airport  â¢ Richmond International Airport  â¢ Ronald Reagan Washington National Airport  â¢ San Francisco International Airport  â¢ Salt Lake City International Airport  â¢ Tampa International Airport  â¢ Tulsa International Airport

CNN's Mike Ahlers contributed to this report.

text: CNN

text: The

text: federal

text: government

text: is

text: starting

text: to

text: deploy

text: full

text: body

text: scanning

text: machines

text: to

text: airports

text: across

text: the

text: United

text: States

text: Homeland

text: Security

text: Secretary

text: Janet

text: Napolitano

text: announced

text: Friday

text: Forty

text: body

text: imaging

text: machines

text: already

text: have

text: been

text: put

text: into

text: use

text: at

text: airports

text: nationwide

text: as

text: part

text: of

text: a

text: field

text: test

text: according

text: the

text: Department

text: of

text: Homeland

text: Security

text: The

text: Transportation

text: Security

text: Administration

text: expects

text: to

text: deploy

text: units

text: by

text: the

text: end

text: of

text: this

text: year

text: By

text: accelerating

text: the

text: deployment

text: of

text: this

text: technology

text: we

text: are

text: enhancing

text: our

text: capability

text: to

text: detect

text: and

text: disrupt

text: threats

text: of

text: terrorism

text: across

text: the

text: nation

text: Napolitano

text: said

text: in

text: a

text: statement

text: The

text: first

text: of

text: the

text: new

text: units

text: are

text: being

text: installed

text: Friday

text: at

text: Boston

text: 's

text: Logan

text: International

text: Airport

text: according

text: to

text: a

text: DHS

text: statement

text: The

text: list

text: of

text: other

text: airports

text: set

text: to

text: receive

text: the

text: scanners

text: by

text: the

text: end

text: of

text: summer

text: includes

text: Chicago

text: O'Hare

text: International

text: Fort

text: Lauderdale

text: Hollywood

text: International

text: Cincinnati

text: Northern

text: Kentucky

text: International

text: Mineta

text: San

text: JosÃ

text: International

text: Los

text: Angeles

text: International

text: Port

text: Columbus

text: International

text: Oakland

text: International

text: San

text: Diego

text: International

text: Kansas

text: City

text: International

text: and

text: Charlotte

text: Douglas

text: International

text: The

text: imaging

text: machines

text: are

text: being

text: funded

text: through

text: the

text: Obama

text: administration

text: 's

text: billion

text: economic

text: stimulus

text: plan

text: Under

text: existing

text: protocols

text: full

text: body

text: scans

text: are

text: optional

text: at

text: airport

text: checkpoints

text: Travelers

text: who

text: decline

text: the

text: scans

text: are

text: funneled

text: to

text: a

text: location

text: where

text: they

text: may

text: be

text: given

text: a

text: pat

text: down

text: and

text: subjected

text: to

text: other

text: tests

text: such

text: as

text: swabs

text: that

text: can

text: detect

text: minute

text: traces

text: of

text: explosives

text: on

text: hands

text: or

text: luggage

text: The

text: TSA

text: said

text: most

text: passengers

text: prefer

text: a

text: body

text: scan

text: to

text: a

text: pat

text: down

text: But

text: others

text: have

text: objected

text: to

text: the

text: body

text: scans

text: calling

text: them

text: electronic

text: strip

text: searches

text: Passenger

text: privacy

text: is

text: maintained

text: during

text: the

text: scannning

text: process

text: by

text: blurring

text: all

text: images

text: deleting

text: images

text: after

text: they

text: are

text: viewed

text: and

text: placing

text: the

text: screener

text: viewing

text: the

text: images

text: in

text: a

text: remote

text: location

text: according

text: to

text: DHS

text: officials

text: Acting

text: TSA

text: Administrator

text: Gale

text: Rossides

text: testified

text: before

text: Congress

text: on

text: Thursday

text: that

text: the

text: machines

text: will

text: not

text: significantly

text: slow

text: the

text: passenger

text: screening

text: process

text: saying

text: it

text: will

text: be

text: done

text: at

text: the

text: same

text: time

text: as

text: carry

text: on

text: baggage

text: screening

text: The

text: TSA

text: has

text: spent

text: years

text: testing

text: full

text: body

text: imagers

text: Plans

text: to

text: deploy

text: them

text: this

text: year

text: were

text: given

text: added

text: urgency

text: after

text: the

text: arrest

text: of

text: a

text: Nigerian

text: man

text: Umar

text: Farouk

text: AbdulMutallab

text: who

text: has

text: been

text: accused

text: of

text: attempting

text: to

text: detonate

text: an

text: explosive

text: sewn

text: into

text: his

text: underwear

text: on

text: a

text: December

text: flight

text: Field

text: testing

text: of

text: full

text: body

text: scanners

text: already

text: is

text: under

text: way

text: at

text: the

text: following

text: airports

text: â¢

text: Albuquerque

text: International

text: Sunport

text: Airport

text: â¢

text: Hartsfield

text: Jackson

text: Atlanta

text: International

text: Airport

text: â¢

text: Baltimore

text: Washington

text: International

text: Thurgood

text: Marshall

text: Airport

text: â¢

text: Denver

text: International

text: Airport

text: â¢

text: Dallas

text: Fort

text: Worth

text: International

text: Airport

text: â¢

text: Detroit

text: Metro

text: Airport

text: â¢

text: Indianapolis

text: International

text: Airport

text: â¢

text: Jacksonville

text: International

text: Airport

text: â¢

text: McCarran

text: International

text: Airport

text: â¢

text: Los

text: Angeles

text: International

text: Airport

text: â¢

text: Miami

text: International

text: Airport

text: â¢

text: Phoenix

text: Sky

text: Harbor

text: International

text: Airport

text: â¢

text: Raleigh

text: Durham

text: International

text: Airport

text: â¢

text: Richmond

text: International

text: Airport

text: â¢

text: Ronald

text: Reagan

text: Washington

text: National

text: Airport

text: â¢

text: San

text: Francisco

text: International

text: Airport

text: â¢

text: Salt

text: Lake

text: City

text: International

text: Airport

text: â¢

text: Tampa

text: International

text: Airport

text: â¢

text: Tulsa

text: International

text: Airport

text: CNN

text: 's

text: Mike

text: Ahlers

text: contributed

text: to

text: this

text: report

question: What's expected on Friday?

answer: full-body scanning machines to 11 airports across

text: full-body scanning machines to 11 airports across

question: Which government agency is deploying the scanners?

answer: Transportation Security Administration

text: Transportation Security Administration

question: How many units are being deployed?

answer: 450

question: What kind of scanners are being deployed?

answer: full-body scanning machines

text: full-body scanning machines

question: What is LIA expected to get on Friday?

answer: full-body scanning machines

text: full-body scanning machines

question: What other airports will receive scanners?

answer: International, Port Columbus International, Oakland International, San Diego International, Kansas City International and Charlotte Douglas International.

text: International, Port Columbus International, Oakland International, San Diego International, Kansas City International and Charlotte Douglas International.

question: How many units will be deployed by the end of 2010?

answer: 450

question: What airports are involved?

answer: rnational Airport  â

text: rnational Airport  â