text:
Hanford Nuclear Site, Washington (CNN) -- The federal government has set aside nearly $2 billion in stimulus funds to clean up Washington State's decommissioned Hanford nuclear site, once the center of the country's Cold War plutonium production.

That is more stimulus funding than some entire states have received, which has triggered a debate as to whether the money is being properly spent.

The facility sprawls across approximately 600 square miles of south-central Washington, an area roughly half the size of Rhode Island. It was built in the 1940s as part of the "Manhattan Project" to develop the first atomic weapon during World War II.

Millions of dollars and thousands of jobs poured into the remote area about 75 miles east of Yakima where nine nuclear reactors were eventually built.

During the Cold War, Hanford was a buzzing hive of activity, eventually becoming the main source of plutonium production for the nation's nuclear weapons program.

Decades of improper radioactive waste disposal earned Hanford the notorious distinction of being most contaminated nuclear site in the Western Hemisphere.

Today, the Hanford site is a virtual ghost town and those involved in the clean-up project say they will need every dollar of the federal stimulus funds.

There are still millions of gallons of untreated contaminated groundwater, hundreds of buildings used for plutonium enrichment that need to be torn down, and underground tanks that are full of radioactive sludge.

The stimulus money will reduce the clean-up time by years, according to Jon Peschong, who oversees the federal project at Hanford.

"It was perfect work, ready to go for the stimulus package," Peschong said. "Each day that passes the conditions worsen [and] the receipt of the federal stimulus money allows us to reduce the costs and also allows us to reduce the clean up footprint much sooner, years sooner."

The money is also created jobs for about 1,400 people at Hanford, including Joe Gill who manages a team that is tearing down equipment that is heavily contaminated by radiation. Despite the dangers of his job, Gill said it came just at the right time.

"I had managed a production warehouse facility for one of the largest companies in the world, [I] thought I'd be there for 20 years," Gill said. "We laid off 8,000 people in three months and they closed down our plant, [and] those jobs aren't jobs you just read the paper and get."

It is clear by watching Gill's team perform their time-consuming daily tasks that Hanford won't be decontanimated quickly. The workers have to suit up three to four times a day in protective gear. They break down contaminated equipment through a "glove box," allowing them to disassemble the equipment a room away through lead-lined gloves. Each time a worker removes their hands from the gloves, they must be wanded down by a colleague checking for any radiation exposure.

The large scale of the project and years of cost overruns have led critics to complain that stimulus money is being misdirected at Hanford. A report by Sens. John McCain, R-Arizona, and Tom Coburn, R-Oklahoma, listed Hanford as one of 100 sites where stimulus money may have been wasted.

The Hanford clean-up "has been plagued by massive cost and schedule problems - and almost no progress," according to the report.

Gerry Pollet, who runs a Hanford watchdog organization, says he supports using stimulus money to rid the nuclear site of its radioactive waste. But he questions whether the funds are going where they are most needed.

"You are not seeing the value that we should be seeing for the clean-up and the environment," said Pollet, who heads Heart of America Northwest. "They are picking the low-hanging fruit, the easy projects that give very nice photo opportunities. But that doesn't cost $2 billion.

"Hanford is getting more money than many states in stimulus funds and you would expect to see real progress for clean-up [to] happen with those dollars."

While debate continues over whether and how stimulus dollars should be used, the Tri-Cities area that surrounds the Hanford site -- which includes Richland, Kennewick and Pasco -- is reaping the benefits of the clean-up boom.

Hanford began receiving stimulus dollars in March 2009, which helped the surrounding cities and towns avoid the catastrophe that has plagued other communities impacted by the recent economic downturn.

The Tri-Cities area has one of the lowest unemployment rates in Washington State, and the housing market has barely been affected by the recent economic downturn, according to the Tri-Cities Industrial Development council.

Ken Brutzman, who owns a local office furniture store, said his business was "at a standstill" last year before the orders from Hanford contractors started pouring in. Brutzman had to hire six temporary workers, two of which he may keep on full time, to deal with the boom in business.

"We are on track to have best year ever," Brutzman said. His business has been in his family for three generations and will likely stay profitable for several more generations since the Hanford clean-up project is expected to take another 40 years.

"It has my manufacturers raising their eyebrows saying, 'Wow how does that guy do that?'"

text: Hanford

text: Nuclear

text: Site

text: Washington

text: CNN

text: The

text: federal

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text: has

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text: aside

text: nearly

text: billion

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text: Cold

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text: That

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text: stimulus

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text: The

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text: sprawls

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text: an

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text: roughly

text: half

text: the

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text: of

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text: It

text: was

text: built

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text: federal

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text: There

text: are

text: still

text: millions

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text: gallons

text: of

text: untreated

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text: groundwater

text: hundreds

text: of

text: buildings

text: used

text: for

text: plutonium

text: enrichment

text: that

text: need

text: to

text: be

text: torn

text: down

text: and

text: underground

text: tanks

text: that

text: are

text: full

text: of

text: radioactive

text: sludge

text: The

text: stimulus

text: money

text: will

text: reduce

text: the

text: clean

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text: by

text: years

text: according

text: to

text: Jon

text: Peschong

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text: oversees

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text: federal

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text: Hanford

text: It

text: was

text: perfect

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text: to

text: go

text: for

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text: stimulus

text: package

text: Peschong

text: said

text: Each

text: day

text: that

text: passes

text: the

text: conditions

text: worsen

text: and

text: the

text: receipt

text: of

text: the

text: federal

text: stimulus

text: money

text: allows

text: us

text: to

text: reduce

text: the

text: costs

text: and

text: also

text: allows

text: us

text: to

text: reduce

text: the

text: clean

text: up

text: footprint

text: much

text: sooner

text: years

text: sooner

text: The

text: money

text: is

text: also

text: created

text: jobs

text: for

text: about

text: people

text: at

text: Hanford

text: including

text: Joe

text: Gill

text: who

text: manages

text: a

text: team

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text: is

text: tearing

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text: equipment

text: that

text: is

text: heavily

text: contaminated

text: by

text: radiation

text: Despite

text: the

text: dangers

text: of

text: his

text: job

text: Gill

text: said

text: it

text: came

text: just

text: at

text: the

text: right

text: time

text: I

text: had

text: managed

text: a

text: production

text: warehouse

text: facility

text: for

text: one

text: of

text: the

text: largest

text: companies

text: in

text: the

text: world

text: I

text: thought

text: I

text: 'd

text: be

text: there

text: for

text: years

text: Gill

text: said

text: We

text: laid

text: off

text: people

text: in

text: three

text: months

text: and

text: they

text: closed

text: down

text: our

text: plant

text: and

text: those

text: jobs

text: are

text: n't

text: jobs

text: you

text: just

text: read

text: the

text: paper

text: and

text: get

text: It

text: is

text: clear

text: by

text: watching

text: Gill

text: 's

text: team

text: perform

text: their

text: time

text: consuming

text: daily

text: tasks

text: that

text: Hanford

text: wo

text: n't

text: be

text: decontanimated

text: quickly

text: The

text: workers

text: have

text: to

text: suit

text: up

text: three

text: to

text: four

text: times

text: a

text: day

text: in

text: protective

text: gear

text: They

text: break

text: down

text: contaminated

text: equipment

text: through

text: a

text: glove

text: box

text: allowing

text: them

text: to

text: disassemble

text: the

text: equipment

text: a

text: room

text: away

text: through

text: lead

text: lined

text: gloves

text: Each

text: time

text: a

text: worker

text: removes

text: their

text: hands

text: from

text: the

text: gloves

text: they

text: must

text: be

text: wanded

text: down

text: by

text: a

text: colleague

text: checking

text: for

text: any

text: radiation

text: exposure

text: The

text: large

text: scale

text: of

text: the

text: project

text: and

text: years

text: of

text: cost

text: overruns

text: have

text: led

text: critics

text: to

text: complain

text: that

text: stimulus

text: money

text: is

text: being

text: misdirected

text: at

text: Hanford

text: A

text: report

text: by

text: Sens

text: John

text: McCain

text: R

text: Arizona

text: and

text: Tom

text: Coburn

text: R

text: Oklahoma

text: listed

text: Hanford

text: as

text: one

text: of

text: sites

text: where

text: stimulus

text: money

text: may

text: have

text: been

text: wasted

text: The

text: Hanford

text: clean

text: up

text: has

text: been

text: plagued

text: by

text: massive

text: cost

text: and

text: schedule

text: problems

text: and

text: almost

text: no

text: progress

text: according

text: to

text: the

text: report

text: Gerry

text: Pollet

text: who

text: runs

text: a

text: Hanford

text: watchdog

text: organization

text: says

text: he

text: supports

text: using

text: stimulus

text: money

text: to

text: rid

text: the

text: nuclear

text: site

text: of

text: its

text: radioactive

text: waste

text: But

text: he

text: questions

text: whether

text: the

text: funds

text: are

text: going

text: where

text: they

text: are

text: most

text: needed

text: You

text: are

text: not

text: seeing

text: the

text: value

text: that

text: we

text: should

text: be

text: seeing

text: for

text: the

text: clean

text: up

text: and

text: the

text: environment

text: said

text: Pollet

text: who

text: heads

text: Heart

text: of

text: America

text: Northwest

text: They

text: are

text: picking

text: the

text: low

text: hanging

text: fruit

text: the

text: easy

text: projects

text: that

text: give

text: very

text: nice

text: photo

text: opportunities

text: But

text: that

text: does

text: n't

text: cost

text: billion

text: Hanford

text: is

text: getting

text: more

text: money

text: than

text: many

text: states

text: in

text: stimulus

text: funds

text: and

text: you

text: would

text: expect

text: to

text: see

text: real

text: progress

text: for

text: clean

text: up

text: to

text: happen

text: with

text: those

text: dollars

text: While

text: debate

text: continues

text: over

text: whether

text: and

text: how

text: stimulus

text: dollars

text: should

text: be

text: used

text: the

text: Tri

text: Cities

text: area

text: that

text: surrounds

text: the

text: Hanford

text: site

text: which

text: includes

text: Richland

text: Kennewick

text: and

text: Pasco

text: is

text: reaping

text: the

text: benefits

text: of

text: the

text: clean

text: up

text: boom

text: Hanford

text: began

text: receiving

text: stimulus

text: dollars

text: in

text: March

text: which

text: helped

text: the

text: surrounding

text: cities

text: and

text: towns

text: avoid

text: the

text: catastrophe

text: that

text: has

text: plagued

text: other

text: communities

text: impacted

text: by

text: the

text: recent

text: economic

text: downturn

text: The

text: Tri

text: Cities

text: area

text: has

text: one

text: of

text: the

text: lowest

text: unemployment

text: rates

text: in

text: Washington

text: State

text: and

text: the

text: housing

text: market

text: has

text: barely

text: been

text: affected

text: by

text: the

text: recent

text: economic

text: downturn

text: according

text: to

text: the

text: Tri

text: Cities

text: Industrial

text: Development

text: council

text: Ken

text: Brutzman

text: who

text: owns

text: a

text: local

text: office

text: furniture

text: store

text: said

text: his

text: business

text: was

text: at

text: a

text: standstill

text: last

text: year

text: before

text: the

text: orders

text: from

text: Hanford

text: contractors

text: started

text: pouring

text: in

text: Brutzman

text: had

text: to

text: hire

text: six

text: temporary

text: workers

text: two

text: of

text: which

text: he

text: may

text: keep

text: on

text: full

text: time

text: to

text: deal

text: with

text: the

text: boom

text: in

text: business

text: We

text: are

text: on

text: track

text: to

text: have

text: best

text: year

text: ever

text: Brutzman

text: said

text: His

text: business

text: has

text: been

text: in

text: his

text: family

text: for

text: three

text: generations

text: and

text: will

text: likely

text: stay

text: profitable

text: for

text: several

text: more

text: generations

text: since

text: the

text: Hanford

text: clean

text: up

text: project

text: is

text: expected

text: to

text: take

text: another

text: years

text: It

text: has

text: my

text: manufacturers

text: raising

text: their

text: eyebrows

text: saying

text: Wow

text: how

text: does

text: that

text: guy

text: do

text: that

question: How much is being spent on the clean up?

answer: nearly $2 billion

text: nearly $2 billion

question: what is the cost of the clean up

answer: $2 billion

text: $2 billion

question: Where is the nuclear site ?

answer: Washington

text: Washington

question: What does stimulus fund?

answer: clean up Washington State's decommissioned Hanford nuclear site,

text: clean up Washington State's decommissioned Hanford nuclear site,

question: what is being cleaned up

answer: Washington State's decommissioned Hanford nuclear site,

text: Washington State's decommissioned Hanford nuclear site,

question: What said about Hanford?

answer: "Hanford is getting more money than many states in stimulus funds

text: "Hanford is getting more money than many states in stimulus funds


text:
(Oprah.com) -- If you  heard there was a weapon proven to prevent most crimes before they happen, would you run out and buy it? World-renowned security expert Gavin de Becker says this weapon exists, but you already have it. He calls it "the gift of fear."

One chapter in Gavin's book "The Gift of Fear" has stuck with Oprah since she first read it.

The story of a woman named Kelly begins with a simple warning sign. A man offers to help carry her groceries into her apartment -- and instantly, Kelly doesn't like the sound of his voice. Kelly goes against her gut and lets him help her -- and in doing so, she lets a rapist into her home.

"We get a signal prior to violence," Gavin says. "There are preincident indicators. Things that happen before violence occurs."

Gavin says that unlike any other living creature, humans will sense danger yet still walk right into it.

"You're in a hallway waiting for an elevator late at night. Elevator door opens, and there's a guy inside, and he makes you afraid. You don't know why, you don't know what it is. Some memory of this building -- whatever it may be. And many women will stand there and look at that guy and say, 'Oh, I don't want to think like that. I don't want to be the kind of person who lets the door close in his face. I've got to be nice. I don't want him to think I'm not nice.' And so human beings will get into a steel soundproof chamber with someone they're afraid of, and there's not another animal in nature that would even consider it."

For weeks, Nicole had a funny feeling that something odd was going on in her apartment. "My gut started feeling like something just wasn't right," she says. "I would come home, and there would be just weird lights on in my house -- lights that I didn't even remember turning on in the first place."

Then one day, Nicole noticed a UPS delivery box where it shouldn't be. "I'm like, 'How did this brand of box get on my back balcony?'" Nicole began to feel uneasy -- but continued to brush it off. "I would just come home, you know, and almost feel nauseous," she says. "I kept trying to justify it saying, 'Okay, it is in my head.'"

Nicole's funny feeling eventually escalated into full-fledged panic attacks, which Gavin says were her intuition's way of telling her that something was wrong.

"And intuition records everything. So when she started getting panics attacks, her intuition is saying, basically, 'You're not going to listen? Okay, I'll ramp it up. I'll give you panic attacks. You want sleepless nights? I'll give you sleepless nights.'"

Nicole eventually did listen to her intuition, starting with a simple test. "I dropped a tank top behind the door as I was leaving for work, thinking that when I come home that night, I'm going to peek my head around the corner. If [the tank top] had been pushed to the side, it would have been obvious that the door was opened." When Nicole got home, she says the tank top had moved.

Caught on camera

The next day, Nicole says she set up a hidden camera to try and find out what was going on in her apartment. Once she came home, Nicole says she plugged the camcorder into her laptop. "And the first thing I see is this man's head peeking around the corner into my house," she says. "What I felt at that point was just complete terror. I'm sitting there watching this video --this story unfold -- and this person comes in my house, is looking around, going through my things, looking through my laundry, holding up my lingerie."

As Nicole continues to watch in horror, the intruder undresses himself and puts her lingerie on. "So this person is in my clothes, proceeds to start pleasuring himself -- just very, very graphic things happening right there in my house with my belongings. And he finishes up, takes off my clothes -- and puts them exactly back as I had left them -- puts his clothes back on, checks to make sure nobody's outside the door and leaves."

After watching the tape, Nicole says she ran around her apartment, screaming hysterically. She says she had never seen the man in the tape before. "Initially, I took my cell phone, called my boyfriend at the time, screaming hysterically. All I could say was, 'He's in my house. He's in my house.' Even picking up the phone, dialing, was difficult."

Two weeks later, police found the man -- 39-year-old Shawn Rogers, a computer consultant with a young son and a wife at the time. Police were unable to charge Rogers with anything more than trespassing ... until he came back to Nicole's apartment to steal her camera. Police were able to charge Rogers with burglary, and he was sentenced to eight years in prison.

Dangerous behavior

When Nicole found the UPS box on her balcony, Gavin says this was a warning sign. Gavin applauds Nicole for listening to her intuition and says that quieting her fear could have caused the situation to escalate. "He's already into behavior of wanting to get caught," he says. "You don't come back again and again and again and not want to get caught."

Gavin says like Nicole, the intruder's intuition was probably trying to tell him something too. "Offenders as well can see what's happening in their lives. And talk about not listening to it -- he's in someone's apartment doing something sexual with their clothes on -- that's something to listen to."

Because the intruder had a job and a family, Gavin says his behavior was not only reckless, but dangerous as well.

"When people do listen, they can stop what's almost fate," Gavin says. "There's a great line that Carl Jung said. He said, 'What we do not make conscious emerges later as fate.' If he made it conscious, if he could talk to someone about it, if he could tell someone, he could get better also. But he didn't, and it does mean escalation. If she discovered him, that's dangerous. If he came in when she was there, that's dangerous."

Your feelings are warnings

Doris, who says she endured years of sexual abuse at the hands of her husband, appeared on "The Oprah Show" after leaving her husband. Unfortunately, her battle didn't end there -- two months after she left him, Doris's ex-husband abducted her at gunpoint and raped her.

After the show, Oprah spoke with Doris again to ask if her she had sensed any warning signs the night she was abducted. "As I was coming home from work, it was just a very eerie, strange feeling as I drove up," Doris says. "It was darker than normal in my driveway, and there was a trash can sitting where I normally park right in the middle.

"I thought, 'Hmm, this is strange.' Because my mother lives with me, and she'll turn on the lights when it gets dark. It did give me a little eerie feeling -- the hairs on the back of your neck kind of stand up. But still, I didn't listen to my instincts."

Gavin says that "eerie feeling" is exactly what he wants women to pay attention to. "We're trying to analyze the warning signs," he says. "And what I really want to teach today and forever is the feeling is the warning sign. All the other stuff is our explanation for the feeling. Why it was this, why it was that. The feeling itself is the warning sign."

From "The Oprah Winfrey Show"

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text: Oprah.com

text: If

text: you

text: heard

text: there

text: was

text: a

text: weapon

text: proven

text: to

text: prevent

text: most

text: crimes

text: before

text: they

text: happen

text: would

text: you

text: run

text: out

text: and

text: buy

text: it

text: World

text: renowned

text: security

text: expert

text: Gavin

text: de

text: Becker

text: says

text: this

text: weapon

text: exists

text: but

text: you

text: already

text: have

text: it

text: He

text: calls

text: it

text: the

text: gift

text: of

text: fear

text: One

text: chapter

text: in

text: Gavin

text: 's

text: book

text: The

text: Gift

text: of

text: Fear

text: has

text: stuck

text: with

text: Oprah

text: since

text: she

text: first

text: read

text: it

text: The

text: story

text: of

text: a

text: woman

text: named

text: Kelly

text: begins

text: with

text: a

text: simple

text: warning

text: sign

text: A

text: man

text: offers

text: to

text: help

text: carry

text: her

text: groceries

text: into

text: her

text: apartment

text: and

text: instantly

text: Kelly

text: does

text: n't

text: like

text: the

text: sound

text: of

text: his

text: voice

text: Kelly

text: goes

text: against

text: her

text: gut

text: and

text: lets

text: him

text: help

text: her

text: and

text: in

text: doing

text: so

text: she

text: lets

text: a

text: rapist

text: into

text: her

text: home

text: We

text: get

text: a

text: signal

text: prior

text: to

text: violence

text: Gavin

text: says

text: There

text: are

text: preincident

text: indicators

text: Things

text: that

text: happen

text: before

text: violence

text: occurs

text: Gavin

text: says

text: that

text: unlike

text: any

text: other

text: living

text: creature

text: humans

text: will

text: sense

text: danger

text: yet

text: still

text: walk

text: right

text: into

text: it

text: You

text: 're

text: in

text: a

text: hallway

text: waiting

text: for

text: an

text: elevator

text: late

text: at

text: night

text: Elevator

text: door

text: opens

text: and

text: there

text: 's

text: a

text: guy

text: inside

text: and

text: he

text: makes

text: you

text: afraid

text: You

text: do

text: n't

text: know

text: why

text: you

text: do

text: n't

text: know

text: what

text: it

text: is

text: Some

text: memory

text: of

text: this

text: building

text: whatever

text: it

text: may

text: be

text: And

text: many

text: women

text: will

text: stand

text: there

text: and

text: look

text: at

text: that

text: guy

text: and

text: say

text: Oh

text: I

text: do

text: n't

text: want

text: to

text: think

text: like

text: that

text: I

text: do

text: n't

text: want

text: to

text: be

text: the

text: kind

text: of

text: person

text: who

text: lets

text: the

text: door

text: close

text: in

text: his

text: face

text: I

text: 've

text: got

text: to

text: be

text: nice

text: I

text: do

text: n't

text: want

text: him

text: to

text: think

text: I

text: 'm

text: not

text: nice

text: And

text: so

text: human

text: beings

text: will

text: get

text: into

text: a

text: steel

text: soundproof

text: chamber

text: with

text: someone

text: they

text: 're

text: afraid

text: of

text: and

text: there

text: 's

text: not

text: another

text: animal

text: in

text: nature

text: that

text: would

text: even

text: consider

text: it

text: For

text: weeks

text: Nicole

text: had

text: a

text: funny

text: feeling

text: that

text: something

text: odd

text: was

text: going

text: on

text: in

text: her

text: apartment

text: My

text: gut

text: started

text: feeling

text: like

text: something

text: just

text: was

text: n't

text: right

text: she

text: says

text: I

text: would

text: come

text: home

text: and

text: there

text: would

text: be

text: just

text: weird

text: lights

text: on

text: in

text: my

text: house

text: lights

text: that

text: I

text: did

text: n't

text: even

text: remember

text: turning

text: on

text: in

text: the

text: first

text: place

text: Then

text: one

text: day

text: Nicole

text: noticed

text: a

text: UPS

text: delivery

text: box

text: where

text: it

text: should

text: n't

text: be

text: I

text: 'm

text: like

text: How

text: did

text: this

text: brand

text: of

text: box

text: get

text: on

text: my

text: back

text: balcony

text: Nicole

text: began

text: to

text: feel

text: uneasy

text: but

text: continued

text: to

text: brush

text: it

text: off

text: I

text: would

text: just

text: come

text: home

text: you

text: know

text: and

text: almost

text: feel

text: nauseous

text: she

text: says

text: I

text: kept

text: trying

text: to

text: justify

text: it

text: saying

text: Okay

text: it

text: is

text: in

text: my

text: head

text: Nicole

text: 's

text: funny

text: feeling

text: eventually

text: escalated

text: into

text: full

text: fledged

text: panic

text: attacks

text: which

text: Gavin

text: says

text: were

text: her

text: intuition

text: 's

text: way

text: of

text: telling

text: her

text: that

text: something

text: was

text: wrong

text: And

text: intuition

text: records

text: everything

text: So

text: when

text: she

text: started

text: getting

text: panics

text: attacks

text: her

text: intuition

text: is

text: saying

text: basically

text: You

text: 're

text: not

text: going

text: to

text: listen

text: Okay

text: I

text: 'll

text: ramp

text: it

text: up

text: I

text: 'll

text: give

text: you

text: panic

text: attacks

text: You

text: want

text: sleepless

text: nights

text: I

text: 'll

text: give

text: you

text: sleepless

text: nights

text: Nicole

text: eventually

text: did

text: listen

text: to

text: her

text: intuition

text: starting

text: with

text: a

text: simple

text: test

text: I

text: dropped

text: a

text: tank

text: top

text: behind

text: the

text: door

text: as

text: I

text: was

text: leaving

text: for

text: work

text: thinking

text: that

text: when

text: I

text: come

text: home

text: that

text: night

text: I

text: 'm

text: going

text: to

text: peek

text: my

text: head

text: around

text: the

text: corner

text: If

text: the

text: tank

text: top

text: had

text: been

text: pushed

text: to

text: the

text: side

text: it

text: would

text: have

text: been

text: obvious

text: that

text: the

text: door

text: was

text: opened

text: When

text: Nicole

text: got

text: home

text: she

text: says

text: the

text: tank

text: top

text: had

text: moved

text: Caught

text: on

text: camera

text: The

text: next

text: day

text: Nicole

text: says

text: she

text: set

text: up

text: a

text: hidden

text: camera

text: to

text: try

text: and

text: find

text: out

text: what

text: was

text: going

text: on

text: in

text: her

text: apartment

text: Once

text: she

text: came

text: home

text: Nicole

text: says

text: she

text: plugged

text: the

text: camcorder

text: into

text: her

text: laptop

text: And

text: the

text: first

text: thing

text: I

text: see

text: is

text: this

text: man

text: 's

text: head

text: peeking

text: around

text: the

text: corner

text: into

text: my

text: house

text: she

text: says

text: What

text: I

text: felt

text: at

text: that

text: point

text: was

text: just

text: complete

text: terror

text: I

text: 'm

text: sitting

text: there

text: watching

text: this

text: video

text: --this

text: story

text: unfold

text: and

text: this

text: person

text: comes

text: in

text: my

text: house

text: is

text: looking

text: around

text: going

text: through

text: my

text: things

text: looking

text: through

text: my

text: laundry

text: holding

text: up

text: my

text: lingerie

text: As

text: Nicole

text: continues

text: to

text: watch

text: in

text: horror

text: the

text: intruder

text: undresses

text: himself

text: and

text: puts

text: her

text: lingerie

text: on

text: So

text: this

text: person

text: is

text: in

text: my

text: clothes

text: proceeds

text: to

text: start

text: pleasuring

text: himself

text: just

text: very

text: very

text: graphic

text: things

text: happening

text: right

text: there

text: in

text: my

text: house

text: with

text: my

text: belongings

text: And

text: he

text: finishes

text: up

text: takes

text: off

text: my

text: clothes

text: and

text: puts

text: them

text: exactly

text: back

text: as

text: I

text: had

text: left

text: them

text: puts

text: his

text: clothes

text: back

text: on

text: checks

text: to

text: make

text: sure

text: nobody

text: 's

text: outside

text: the

text: door

text: and

text: leaves

text: After

text: watching

text: the

text: tape

text: Nicole

text: says

text: she

text: ran

text: around

text: her

text: apartment

text: screaming

text: hysterically

text: She

text: says

text: she

text: had

text: never

text: seen

text: the

text: man

text: in

text: the

text: tape

text: before

text: Initially

text: I

text: took

text: my

text: cell

text: phone

text: called

text: my

text: boyfriend

text: at

text: the

text: time

text: screaming

text: hysterically

text: All

text: I

text: could

text: say

text: was

text: He

text: 's

text: in

text: my

text: house

text: He

text: 's

text: in

text: my

text: house

text: Even

text: picking

text: up

text: the

text: phone

text: dialing

text: was

text: difficult

text: Two

text: weeks

text: later

text: police

text: found

text: the

text: man

text: old

text: Shawn

text: Rogers

text: a

text: computer

text: consultant

text: with

text: a

text: young

text: son

text: and

text: a

text: wife

text: at

text: the

text: time

text: Police

text: were

text: unable

text: to

text: charge

text: Rogers

text: with

text: anything

text: more

text: than

text: trespassing

text: until

text: he

text: came

text: back

text: to

text: Nicole

text: 's

text: apartment

text: to

text: steal

text: her

text: camera

text: Police

text: were

text: able

text: to

text: charge

text: Rogers

text: with

text: burglary

text: and

text: he

text: was

text: sentenced

text: to

text: eight

text: years

text: in

text: prison

text: Dangerous

text: behavior

text: When

text: Nicole

text: found

text: the

text: UPS

text: box

text: on

text: her

text: balcony

text: Gavin

text: says

text: this

text: was

text: a

text: warning

text: sign

text: Gavin

text: applauds

text: Nicole

text: for

text: listening

text: to

text: her

text: intuition

text: and

text: says

text: that

text: quieting

text: her

text: fear

text: could

text: have

text: caused

text: the

text: situation

text: to

text: escalate

text: He

text: 's

text: already

text: into

text: behavior

text: of

text: wanting

text: to

text: get

text: caught

text: he

text: says

text: You

text: do

text: n't

text: come

text: back

text: again

text: and

text: again

text: and

text: again

text: and

text: not

text: want

text: to

text: get

text: caught

text: Gavin

text: says

text: like

text: Nicole

text: the

text: intruder

text: 's

text: intuition

text: was

text: probably

text: trying

text: to

text: tell

text: him

text: something

text: too

text: Offenders

text: as

text: well

text: can

text: see

text: what

text: 's

text: happening

text: in

text: their

text: lives

text: And

text: talk

text: about

text: not

text: listening

text: to

text: it

text: he

text: 's

text: in

text: someone

text: 's

text: apartment

text: doing

text: something

text: sexual

text: with

text: their

text: clothes

text: on

text: that

text: 's

text: something

text: to

text: listen

text: to

text: Because

text: the

text: intruder

text: had

text: a

text: job

text: and

text: a

text: family

text: Gavin

text: says

text: his

text: behavior

text: was

text: not

text: only

text: reckless

text: but

text: dangerous

text: as

text: well

text: When

text: people

text: do

text: listen

text: they

text: can

text: stop

text: what

text: 's

text: almost

text: fate

text: Gavin

text: says

text: There

text: 's

text: a

text: great

text: line

text: that

text: Carl

text: Jung

text: said

text: He

text: said

text: What

text: we

text: do

text: not

text: make

text: conscious

text: emerges

text: later

text: as

text: fate

text: If

text: he

text: made

text: it

text: conscious

text: if

text: he

text: could

text: talk

text: to

text: someone

text: about

text: it

text: if

text: he

text: could

text: tell

text: someone

text: he

text: could

text: get

text: better

text: also

text: But

text: he

text: did

text: n't

text: and

text: it

text: does

text: mean

text: escalation

text: If

text: she

text: discovered

text: him

text: that

text: 's

text: dangerous

text: If

text: he

text: came

text: in

text: when

text: she

text: was

text: there

text: that

text: 's

text: dangerous

text: Your

text: feelings

text: are

text: warnings

text: Doris

text: who

text: says

text: she

text: endured

text: years

text: of

text: sexual

text: abuse

text: at

text: the

text: hands

text: of

text: her

text: husband

text: appeared

text: on

text: The

text: Oprah

text: Show

text: after

text: leaving

text: her

text: husband

text: Unfortunately

text: her

text: battle

text: did

text: n't

text: end

text: there

text: two

text: months

text: after

text: she

text: left

text: him

text: Doris

text: 's

text: ex

text: husband

text: abducted

text: her

text: at

text: gunpoint

text: and

text: raped

text: her

text: After

text: the

text: show

text: Oprah

text: spoke

text: with

text: Doris

text: again

text: to

text: ask

text: if

text: her

text: she

text: had

text: sensed

text: any

text: warning

text: signs

text: the

text: night

text: she

text: was

text: abducted

text: As

text: I

text: was

text: coming

text: home

text: from

text: work

text: it

text: was

text: just

text: a

text: very

text: eerie

text: strange

text: feeling

text: as

text: I

text: drove

text: up

text: Doris

text: says

text: It

text: was

text: darker

text: than

text: normal

text: in

text: my

text: driveway

text: and

text: there

text: was

text: a

text: trash

text: can

text: sitting

text: where

text: I

text: normally

text: park

text: right

text: in

text: the

text: middle

text: I

text: thought

text: Hmm

text: this

text: is

text: strange

text: Because

text: my

text: mother

text: lives

text: with

text: me

text: and

text: she

text: 'll

text: turn

text: on

text: the

text: lights

text: when

text: it

text: gets

text: dark

text: It

text: did

text: give

text: me

text: a

text: little

text: eerie

text: feeling

text: the

text: hairs

text: on

text: the

text: back

text: of

text: your

text: neck

text: kind

text: of

text: stand

text: up

text: But

text: still

text: I

text: did

text: n't

text: listen

text: to

text: my

text: instincts

text: Gavin

text: says

text: that

text: eerie

text: feeling

text: is

text: exactly

text: what

text: he

text: wants

text: women

text: to

text: pay

text: attention

text: to

text: We

text: 're

text: trying

text: to

text: analyze

text: the

text: warning

text: signs

text: he

text: says

text: And

text: what

text: I

text: really

text: want

text: to

text: teach

text: today

text: and

text: forever

text: is

text: the

text: feeling

text: is

text: the

text: warning

text: sign

text: All

text: the

text: other

text: stuff

text: is

text: our

text: explanation

text: for

text: the

text: feeling

text: Why

text: it

text: was

text: this

text: why

text: it

text: was

text: that

text: The

text: feeling

text: itself

text: is

text: the

text: warning

text: sign

text: From

text: The

text: Oprah

text: Winfrey

text: Show

text: Subscribe

text: to

text: O

text: The

text: Oprah

text: Magazine

text: for

text: up

text: to

text: off

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text: That

text: 's

text: like

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question: What does he say about humans?

answer: will sense danger yet still walk right into it.

text: will sense danger yet still walk right into it.

question: When did the victims recall feeling uneasy?

answer: noticed a UPS delivery box where it shouldn't be.

text: noticed a UPS delivery box where it shouldn't be.

question: What is the only animal who senses danger and walks into it?

answer: humans

text: humans

question: Who are the only animals who can sense danger?

answer: humans

text: humans

question: Who says fear can be a gift?

answer: Gavin de Becker

text: Gavin de Becker

question: Who felt uneasy?

answer: Nicole

text: Nicole


text:
New York (CNN)  -- Rapper Lil Wayne will go directly to jail after he is sentenced by a Manhattan judge Tuesday afternoon for a gun conviction, according to a person familiar with the case.

Dwayne Carter, as he is known legally, pleaded guilty to felony gun charges in a deal with prosecutors October 2009. He is expected to get a one-year prison sentence.

His sentencing was delayed three weeks so he could get some dental work done, including removal of his diamond-studded braces.

The person familiar with the case would not confirm where Wayne would serve his sentence.

The plea agreement was a result of the rapper's 2007 arrest outside New York's Beacon Theater.

According to police, Wayne had a .40-caliber pistol on his tour bus.

"It's not his gun, they know whose gun it is," Wayne's attorney, Stacey Richman, said after a hearing last month.

In an unrelated case, Wayne also faces felony drug possession and weapons charges in the state of Arizona.

Lil Wayne is a multiplatinum-selling and Grammy-winning rap artist. His hits include "The Block is Hot" and "Lollipop," and his album "Tha Carter III" was the top-selling disc of 2008. His latest album, "Rebirth," was released last month.

CNN's Jennifer Rizzo contributed to this report.

text: New

text: York

text: CNN

text: Rapper

text: Lil

text: Wayne

text: will

text: go

text: directly

text: to

text: jail

text: after

text: he

text: is

text: sentenced

text: by

text: a

text: Manhattan

text: judge

text: Tuesday

text: afternoon

text: for

text: a

text: gun

text: conviction

text: according

text: to

text: a

text: person

text: familiar

text: with

text: the

text: case

text: Dwayne

text: Carter

text: as

text: he

text: is

text: known

text: legally

text: pleaded

text: guilty

text: to

text: felony

text: gun

text: charges

text: in

text: a

text: deal

text: with

text: prosecutors

text: October

text: He

text: is

text: expected

text: to

text: get

text: a

text: one

text: year

text: prison

text: sentence

text: His

text: sentencing

text: was

text: delayed

text: three

text: weeks

text: so

text: he

text: could

text: get

text: some

text: dental

text: work

text: done

text: including

text: removal

text: of

text: his

text: diamond

text: studded

text: braces

text: The

text: person

text: familiar

text: with

text: the

text: case

text: would

text: not

text: confirm

text: where

text: Wayne

text: would

text: serve

text: his

text: sentence

text: The

text: plea

text: agreement

text: was

text: a

text: result

text: of

text: the

text: rapper

text: 's

text: arrest

text: outside

text: New

text: York

text: 's

text: Beacon

text: Theater

text: According

text: to

text: police

text: Wayne

text: had

text: a

text: pistol

text: on

text: his

text: tour

text: bus

text: It

text: 's

text: not

text: his

text: gun

text: they

text: know

text: whose

text: gun

text: it

text: is

text: Wayne

text: 's

text: attorney

text: Stacey

text: Richman

text: said

text: after

text: a

text: hearing

text: last

text: month

text: In

text: an

text: unrelated

text: case

text: Wayne

text: also

text: faces

text: felony

text: drug

text: possession

text: and

text: weapons

text: charges

text: in

text: the

text: state

text: of

text: Arizona

text: Lil

text: Wayne

text: is

text: a

text: multiplatinum

text: selling

text: and

text: Grammy

text: winning

text: rap

text: artist

text: His

text: hits

text: include

text: The

text: Block

text: is

text: Hot

text: and

text: Lollipop

text: and

text: his

text: album

text: Tha

text: Carter

text: III

text: was

text: the

text: top

text: selling

text: disc

text: of

text: His

text: latest

text: album

text: Rebirth

text: was

text: released

text: last

text: month

text: CNN

text: 's

text: Jennifer

text: Rizzo

text: contributed

text: to

text: this

text: report

question: Carter's sentencing was postponed so he could get what?

answer: some dental work done,

text: some dental work done,

question: Rapper Dwayne Carter will be sentenced for what kind of conviction?

answer: gun

text: gun

question: What does the work?

answer: removal of his diamond-studded braces.

text: removal of his diamond-studded braces.

question: Who will be condemned?

answer: Rapper Lil Wayne

text: Rapper Lil Wayne

question: Work includes removal of diamond-encrusted what?

answer: braces.

text: braces.


text:
WASHINGTON (CNN) -- New Haven, Connecticut, firefighter Frank Ricci, the lead plaintiff in perhaps the most controversial case involving Judge Sonia Sotomayor, said Thursday that Sotomayor's rejection of his reverse discrimination claim had undermined the concept of a merit-based civil service system.

New Haven firefighter Frank Ricci sued after the city threw out results of a 2003 firefighter promotion exam.

Ricci was one of a group of 20 mostly white firefighters who sued the city of New Haven after it threw out the results of a 2003 firefighter promotion exam because almost no minorities qualified for promotions.

The 2nd Circuit Court of Appeals, including Sotomayor, backed the city in the 2008 case Ricci v. DeStefano. The ruling of the Circuit Court was overturned in June by a 5-4 ruling by the U.S. Supreme Court.

The "belief that citizens should be reduced to racial statistics is flawed," Ricci told the members of the Senate Judiciary Committee.

"It only divides people who don't wish to be divided along racial lines. The very reason we have civil service rules is to root out politics, discrimination and nepotism. Our case demonstrates that these ills will exist if the rules of merit and the law are not followed."  Watch firefighters testify Â»

Ricci also criticized Sotomayor's 2nd Circuit for disposing of the case in an "unsigned, unpublished summary order that consisted of a single paragraph."

Sotomayor was not present when Ricci spoke. She left the session after concluding her remarks earlier Thursday.

Sotomayor argued before committee members Tuesday that her ruling in the Ricci case was decided on the basis of "a very thorough, 78-page decision by the district court" and followed an established precedent.

"This was not a quota case or (an) affirmative action case," she said. The case was a challenge to a firefighter test that had a wide range of difference between the pass and failure rate of different groups. The city of New Haven, she noted, was at risk of being sued by employees who could show they were "disparately impacted" by the test.

New Haven city officials, after a number of days of hearings, decided they wouldn't certify the test but would instead attempt to develop a test of equal value in measuring a candidate's qualifications without having a disparate impact, she said.

The question before the 2nd Circuit, Sotomayor said, was whether the city's decision was based on race or its understanding of what the law required it to do. The Circuit Court ruled that it was based on the latter.

Based on established legal precedent, the 2nd Circuit decided that the city's decision was proper under established law. The Supreme Court, however, applied a new standard, she said, based on a different area of law. If she were ruling on that case today, she said, she would be bound by the new standards set by the Supreme Court.

Ricci was one of several witnesses who testified both for and against Sotomayor.

Linda Chavez, head of the conservative Center for Equal Opportunity, which opposes affirmative action, argued that "it is clear" from Sotomayor's record "that she has drunk deep from the well of identity politics." It is impossible for Sotomayor to be a fair judge when she has "shown a willingness to let her policy preferences guide her," Chavez said.

Arkansas Attorney General Dustin McDaniel testified on Sotomayor's behalf, arguing that her opinion in the Ricci case was, in fact, an example of judicial restraint. It followed a string of legal precedents dating back almost three decades, he said.

New York City Mayor Michael Bloomberg also testified in favor of Sotomayor, telling committee members that she is an "independent jurist" with a "sharp and agile mind" who would bring "a wealth of unique experience" to the high court.

text: WASHINGTON

text: CNN

text: New

text: Haven

text: Connecticut

text: firefighter

text: Frank

text: Ricci

text: the

text: lead

text: plaintiff

text: in

text: perhaps

text: the

text: most

text: controversial

text: case

text: involving

text: Judge

text: Sonia

text: Sotomayor

text: said

text: Thursday

text: that

text: Sotomayor

text: 's

text: rejection

text: of

text: his

text: reverse

text: discrimination

text: claim

text: had

text: undermined

text: the

text: concept

text: of

text: a

text: merit

text: based

text: civil

text: service

text: system

text: New

text: Haven

text: firefighter

text: Frank

text: Ricci

text: sued

text: after

text: the

text: city

text: threw

text: out

text: results

text: of

text: a

text: firefighter

text: promotion

text: exam

text: Ricci

text: was

text: one

text: of

text: a

text: group

text: of

text: mostly

text: white

text: firefighters

text: who

text: sued

text: the

text: city

text: of

text: New

text: Haven

text: after

text: it

text: threw

text: out

text: the

text: results

text: of

text: a

text: firefighter

text: promotion

text: exam

text: because

text: almost

text: no

text: minorities

text: qualified

text: for

text: promotions

text: The

text: Circuit

text: Court

text: of

text: Appeals

text: including

text: Sotomayor

text: backed

text: the

text: city

text: in

text: the

text: case

text: Ricci

text: v.

text: DeStefano

text: The

text: ruling

text: of

text: the

text: Circuit

text: Court

text: was

text: overturned

text: in

text: June

text: by

text: a

text: ruling

text: by

text: the

text: U.S.

text: Supreme

text: Court

text: The

text: belief

text: that

text: citizens

text: should

text: be

text: reduced

text: to

text: racial

text: statistics

text: is

text: flawed

text: Ricci

text: told

text: the

text: members

text: of

text: the

text: Senate

text: Judiciary

text: Committee

text: It

text: only

text: divides

text: people

text: who

text: do

text: n't

text: wish

text: to

text: be

text: divided

text: along

text: racial

text: lines

text: The

text: very

text: reason

text: we

text: have

text: civil

text: service

text: rules

text: is

text: to

text: root

text: out

text: politics

text: discrimination

text: and

text: nepotism

text: Our

text: case

text: demonstrates

text: that

text: these

text: ills

text: will

text: exist

text: if

text: the

text: rules

text: of

text: merit

text: and

text: the

text: law

text: are

text: not

text: followed

text: Watch

text: firefighters

text: testify

text: Â

text: Ricci

text: also

text: criticized

text: Sotomayor

text: 's

text: Circuit

text: for

text: disposing

text: of

text: the

text: case

text: in

text: an

text: unsigned

text: unpublished

text: summary

text: order

text: that

text: consisted

text: of

text: a

text: single

text: paragraph

text: Sotomayor

text: was

text: not

text: present

text: when

text: Ricci

text: spoke

text: She

text: left

text: the

text: session

text: after

text: concluding

text: her

text: remarks

text: earlier

text: Thursday

text: Sotomayor

text: argued

text: before

text: committee

text: members

text: Tuesday

text: that

text: her

text: ruling

text: in

text: the

text: Ricci

text: case

text: was

text: decided

text: on

text: the

text: basis

text: of

text: a

text: very

text: thorough

text: decision

text: by

text: the

text: district

text: court

text: and

text: followed

text: an

text: established

text: precedent

text: This

text: was

text: not

text: a

text: quota

text: case

text: or

text: an

text: affirmative

text: action

text: case

text: she

text: said

text: The

text: case

text: was

text: a

text: challenge

text: to

text: a

text: firefighter

text: test

text: that

text: had

text: a

text: wide

text: range

text: of

text: difference

text: between

text: the

text: pass

text: and

text: failure

text: rate

text: of

text: different

text: groups

text: The

text: city

text: of

text: New

text: Haven

text: she

text: noted

text: was

text: at

text: risk

text: of

text: being

text: sued

text: by

text: employees

text: who

text: could

text: show

text: they

text: were

text: disparately

text: impacted

text: by

text: the

text: test

text: New

text: Haven

text: city

text: officials

text: after

text: a

text: number

text: of

text: days

text: of

text: hearings

text: decided

text: they

text: would

text: n't

text: certify

text: the

text: test

text: but

text: would

text: instead

text: attempt

text: to

text: develop

text: a

text: test

text: of

text: equal

text: value

text: in

text: measuring

text: a

text: candidate

text: 's

text: qualifications

text: without

text: having

text: a

text: disparate

text: impact

text: she

text: said

text: The

text: question

text: before

text: the

text: Circuit

text: Sotomayor

text: said

text: was

text: whether

text: the

text: city

text: 's

text: decision

text: was

text: based

text: on

text: race

text: or

text: its

text: understanding

text: of

text: what

text: the

text: law

text: required

text: it

text: to

text: do

text: The

text: Circuit

text: Court

text: ruled

text: that

text: it

text: was

text: based

text: on

text: the

text: latter

text: Based

text: on

text: established

text: legal

text: precedent

text: the

text: Circuit

text: decided

text: that

text: the

text: city

text: 's

text: decision

text: was

text: proper

text: under

text: established

text: law

text: The

text: Supreme

text: Court

text: however

text: applied

text: a

text: new

text: standard

text: she

text: said

text: based

text: on

text: a

text: different

text: area

text: of

text: law

text: If

text: she

text: were

text: ruling

text: on

text: that

text: case

text: today

text: she

text: said

text: she

text: would

text: be

text: bound

text: by

text: the

text: new

text: standards

text: set

text: by

text: the

text: Supreme

text: Court

text: Ricci

text: was

text: one

text: of

text: several

text: witnesses

text: who

text: testified

text: both

text: for

text: and

text: against

text: Sotomayor

text: Linda

text: Chavez

text: head

text: of

text: the

text: conservative

text: Center

text: for

text: Equal

text: Opportunity

text: which

text: opposes

text: affirmative

text: action

text: argued

text: that

text: it

text: is

text: clear

text: from

text: Sotomayor

text: 's

text: record

text: that

text: she

text: has

text: drunk

text: deep

text: from

text: the

text: well

text: of

text: identity

text: politics

text: It

text: is

text: impossible

text: for

text: Sotomayor

text: to

text: be

text: a

text: fair

text: judge

text: when

text: she

text: has

text: shown

text: a

text: willingness

text: to

text: let

text: her

text: policy

text: preferences

text: guide

text: her

text: Chavez

text: said

text: Arkansas

text: Attorney

text: General

text: Dustin

text: McDaniel

text: testified

text: on

text: Sotomayor

text: 's

text: behalf

text: arguing

text: that

text: her

text: opinion

text: in

text: the

text: Ricci

text: case

text: was

text: in

text: fact

text: an

text: example

text: of

text: judicial

text: restraint

text: It

text: followed

text: a

text: string

text: of

text: legal

text: precedents

text: dating

text: back

text: almost

text: three

text: decades

text: he

text: said

text: New

text: York

text: City

text: Mayor

text: Michael

text: Bloomberg

text: also

text: testified

text: in

text: favor

text: of

text: Sotomayor

text: telling

text: committee

text: members

text: that

text: she

text: is

text: an

text: independent

text: jurist

text: with

text: a

text: sharp

text: and

text: agile

text: mind

text: who

text: would

text: bring

text: a

text: wealth

text: of

text: unique

text: experience

text: to

text: the

text: high

text: court

question: Who spoke in favor of the judge's confirmation?

answer: New York City Mayor Michael Bloomberg

text: New York City Mayor Michael Bloomberg

question: Who spoke in favor of judge's confirmation?

answer: Arkansas Attorney General Dustin McDaniel testified on Sotomayor's behalf,

text: Arkansas Attorney General Dustin McDaniel testified on Sotomayor's behalf,

question: What did the firefighters claim?

answer: reverse discrimination

text: reverse discrimination

question: Who was one of 20 firefighters who claimed reverse discrimination in promotions?

answer: Frank Ricci

text: Frank Ricci

question: Who was the plaintiff in this case?

answer: Frank Ricci,

text: Frank Ricci,

question: what was the ruling based on?

answer: "a very thorough, 78-page decision by the district court"

text: "a very thorough, 78-page decision by the district court"

question: who is Frank Ricci?

answer: New Haven, Connecticut, firefighter

text: New Haven, Connecticut, firefighter

question: What undermined the concept of a merit-based civil service system?

answer: that Sotomayor's rejection of his reverse discrimination claim

text: that Sotomayor's rejection of his reverse discrimination claim


text:
ISLAMABAD, Pakistan (CNN)  -- Pakistani forces in the last month foiled a planned attack on the parliament building, the intelligence agency and other federal institutions, the country's interior minister told CNN Sunday.

Pakistan's parliament building was one target of a planned attack, an official says.

In the last four weeks, authorities arrested three men with suicide vests who were plotting to carry out the attacks, said Interior Minister Rehman Malik.

Malik would not say exactly when the men were caught.

Pakistan is in the midst of an intense military offensive against Taliban militants. The militants are suspected of launching attacks inside Pakistan and in neighboring Afghanistan from their haven in the mountainous tribal region along the northwestern border.

On Sunday, a suicide bomber in volatile northwestern Pakistan killed at three people and wounded 15 others, police said.

The bombing rocked the Pakistani city of Peshawar, capital of North West Frontier Province.

The incident took place when police approached a man acting suspiciously. The man ran away, police chased him and a gunfight ensued. The man ran out of bullets and blew himself up.

Two women and seven children were among the injured. Remains of the alleged attacker were found, police said. Five houses were destroyed.

The incident follows a car bombing on Saturday in Peshawar that killed two people, including the spokesman for an extremist group called Ansar ul Islam. Two suspects are in custody.

Malik said Sunday the government's anti-Taliban operations will continue during Ramadan, the Muslim holy month considered to be a time of peace.

Militants in North Waziristan, part of the tribal region, have said they will observe a unilateral ceasefire throughout the month.

"There will not be a ceasefire during Ramadan. We are not interested in a ceasefire," Malik said. "They haven't kept their commitment in the past. We will continue targeted actions against the Taliban."

Malik also said the Taliban killed the father-in-law of its leader Baitullah Mehsud and several other relatives, accusing them of leaking information about his whereabouts.

Pakistan and U.S. officials contend Mehsud was killed in an August 5 drone attack in Waziristan at his father-in-law's house.

The Taliban claims Mehsud is alive but ill.

text: ISLAMABAD

text: Pakistan

text: CNN

text: Pakistani

text: forces

text: in

text: the

text: last

text: month

text: foiled

text: a

text: planned

text: attack

text: on

text: the

text: parliament

text: building

text: the

text: intelligence

text: agency

text: and

text: other

text: federal

text: institutions

text: the

text: country

text: 's

text: interior

text: minister

text: told

text: CNN

text: Sunday

text: Pakistan

text: 's

text: parliament

text: building

text: was

text: one

text: target

text: of

text: a

text: planned

text: attack

text: an

text: official

text: says

text: In

text: the

text: last

text: four

text: weeks

text: authorities

text: arrested

text: three

text: men

text: with

text: suicide

text: vests

text: who

text: were

text: plotting

text: to

text: carry

text: out

text: the

text: attacks

text: said

text: Interior

text: Minister

text: Rehman

text: Malik

text: Malik

text: would

text: not

text: say

text: exactly

text: when

text: the

text: men

text: were

text: caught

text: Pakistan

text: is

text: in

text: the

text: midst

text: of

text: an

text: intense

text: military

text: offensive

text: against

text: Taliban

text: militants

text: The

text: militants

text: are

text: suspected

text: of

text: launching

text: attacks

text: inside

text: Pakistan

text: and

text: in

text: neighboring

text: Afghanistan

text: from

text: their

text: haven

text: in

text: the

text: mountainous

text: tribal

text: region

text: along

text: the

text: northwestern

text: border

text: On

text: Sunday

text: a

text: suicide

text: bomber

text: in

text: volatile

text: northwestern

text: Pakistan

text: killed

text: at

text: three

text: people

text: and

text: wounded

text: others

text: police

text: said

text: The

text: bombing

text: rocked

text: the

text: Pakistani

text: city

text: of

text: Peshawar

text: capital

text: of

text: North

text: West

text: Frontier

text: Province

text: The

text: incident

text: took

text: place

text: when

text: police

text: approached

text: a

text: man

text: acting

text: suspiciously

text: The

text: man

text: ran

text: away

text: police

text: chased

text: him

text: and

text: a

text: gunfight

text: ensued

text: The

text: man

text: ran

text: out

text: of

text: bullets

text: and

text: blew

text: himself

text: up

text: Two

text: women

text: and

text: seven

text: children

text: were

text: among

text: the

text: injured

text: Remains

text: of

text: the

text: alleged

text: attacker

text: were

text: found

text: police

text: said

text: Five

text: houses

text: were

text: destroyed

text: The

text: incident

text: follows

text: a

text: car

text: bombing

text: on

text: Saturday

text: in

text: Peshawar

text: that

text: killed

text: two

text: people

text: including

text: the

text: spokesman

text: for

text: an

text: extremist

text: group

text: called

text: Ansar

text: ul

text: Islam

text: Two

text: suspects

text: are

text: in

text: custody

text: Malik

text: said

text: Sunday

text: the

text: government

text: 's

text: anti

text: Taliban

text: operations

text: will

text: continue

text: during

text: Ramadan

text: the

text: Muslim

text: holy

text: month

text: considered

text: to

text: be

text: a

text: time

text: of

text: peace

text: Militants

text: in

text: North

text: Waziristan

text: part

text: of

text: the

text: tribal

text: region

text: have

text: said

text: they

text: will

text: observe

text: a

text: unilateral

text: ceasefire

text: throughout

text: the

text: month

text: There

text: will

text: not

text: be

text: a

text: ceasefire

text: during

text: Ramadan

text: We

text: are

text: not

text: interested

text: in

text: a

text: ceasefire

text: Malik

text: said

text: They

text: have

text: n't

text: kept

text: their

text: commitment

text: in

text: the

text: past

text: We

text: will

text: continue

text: targeted

text: actions

text: against

text: the

text: Taliban

text: Malik

text: also

text: said

text: the

text: Taliban

text: killed

text: the

text: father

text: in

text: law

text: of

text: its

text: leader

text: Baitullah

text: Mehsud

text: and

text: several

text: other

text: relatives

text: accusing

text: them

text: of

text: leaking

text: information

text: about

text: his

text: whereabouts

text: Pakistan

text: and

text: U.S.

text: officials

text: contend

text: Mehsud

text: was

text: killed

text: in

text: an

text: August

text: drone

text: attack

text: in

text: Waziristan

text: at

text: his

text: father

text: in

text: law

text: 's

text: house

text: The

text: Taliban

text: claims

text: Mehsud

text: is

text: alive

text: but

text: ill

question: Where did the bombing occur?

answer: Pakistani city of Peshawar, capital of North West Frontier Province.

text: Pakistani city of Peshawar, capital of North West Frontier Province.

question: who is responsible for the bombing

answer: militants

text: militants

question: What was the number of men involved?

answer: three

text: three

question: According to the Interior Minister, how many men plotted to carry out the attacks?

answer: three

text: three

question: What happened to the suspect?

answer: blew himself up.

text: blew himself up.

question: How many people did the suicide bomber kill?

answer: three

text: three

question: how many were involved

answer: three

text: three

question: Had the suspect blown himself up after running out of bullets?

answer: of

text: of


text:
(CNN) -- American Bill Haas claimed a one-shot victory in the Bob Hope Classic on the final hole to join his father as a winner of the tournament.

The 27-year-old went into the final day in California a stroke behind the lead but was able to break clear of the pack with a flawless 64 to finish on 30 under par.

Tim Clark, Matt Kuchar and Bubba Watson all finished tied for second place on 29 under.

Haas led by two strokes after an fine start but the chasing pack reduced his lead and a birdie on 17 put him level with leaders Clark and Kuchar.

He completed victory with a birdie four at the last hole after he struck a brave tee shot.

Haas fired his approach at the last to within 27 feet and two putts were enough to seal a victory that matches the win his father - Jay Haas - secured at the same event in 1988.

Haas, who was watched by his father, admitted the victory was even sweeter with a large family contingent present.

"It's pretty special as I didn't know my dad was here. My dad and my brother and his uncle were there," Haas told the tournament's official Web site.

"They knew they flew back from Hawaii last night, I thought maybe if I was in contention they might show up, but didn't see them until the end there.

"It's not easy to win. I was so nervous coming down the stretch. I still don't know how I hit the shot on 18 - my hands were shaking."

text: CNN

text: American

text: Bill

text: Haas

text: claimed

text: a

text: one

text: shot

text: victory

text: in

text: the

text: Bob

text: Hope

text: Classic

text: on

text: the

text: final

text: hole

text: to

text: join

text: his

text: father

text: as

text: a

text: winner

text: of

text: the

text: tournament

text: The

text: old

text: went

text: into

text: the

text: final

text: day

text: in

text: California

text: a

text: stroke

text: behind

text: the

text: lead

text: but

text: was

text: able

text: to

text: break

text: clear

text: of

text: the

text: pack

text: with

text: a

text: flawless

text: to

text: finish

text: on

text: under

text: par

text: Tim

text: Clark

text: Matt

text: Kuchar

text: and

text: Bubba

text: Watson

text: all

text: finished

text: tied

text: for

text: second

text: place

text: on

text: under

text: Haas

text: led

text: by

text: two

text: strokes

text: after

text: an

text: fine

text: start

text: but

text: the

text: chasing

text: pack

text: reduced

text: his

text: lead

text: and

text: a

text: birdie

text: on

text: put

text: him

text: level

text: with

text: leaders

text: Clark

text: and

text: Kuchar

text: He

text: completed

text: victory

text: with

text: a

text: birdie

text: four

text: at

text: the

text: last

text: hole

text: after

text: he

text: struck

text: a

text: brave

text: tee

text: shot

text: Haas

text: fired

text: his

text: approach

text: at

text: the

text: last

text: to

text: within

text: feet

text: and

text: two

text: putts

text: were

text: enough

text: to

text: seal

text: a

text: victory

text: that

text: matches

text: the

text: win

text: his

text: father

text: Jay

text: Haas

text: secured

text: at

text: the

text: same

text: event

text: in

text: Haas

text: who

text: was

text: watched

text: by

text: his

text: father

text: admitted

text: the

text: victory

text: was

text: even

text: sweeter

text: with

text: a

text: large

text: family

text: contingent

text: present

text: It

text: 's

text: pretty

text: special

text: as

text: I

text: did

text: n't

text: know

text: my

text: dad

text: was

text: here

text: My

text: dad

text: and

text: my

text: brother

text: and

text: his

text: uncle

text: were

text: there

text: Haas

text: told

text: the

text: tournament

text: 's

text: official

text: Web

text: site

text: They

text: knew

text: they

text: flew

text: back

text: from

text: Hawaii

text: last

text: night

text: I

text: thought

text: maybe

text: if

text: I

text: was

text: in

text: contention

text: they

text: might

text: show

text: up

text: but

text: did

text: n't

text: see

text: them

text: until

text: the

text: end

text: there

text: It

text: 's

text: not

text: easy

text: to

text: win

text: I

text: was

text: so

text: nervous

text: coming

text: down

text: the

text: stretch

text: I

text: still

text: do

text: n't

text: know

text: how

text: I

text: hit

text: the

text: shot

text: on

text: my

text: hands

text: were

text: shaking

question: what does bill haas claimed?

answer: a one-shot victory in the Bob Hope Classic

text: a one-shot victory in the Bob Hope Classic

question: who completed victory?

answer: Bill Haas

text: Bill Haas

question: American Bill Haas has claimed what?

answer: a one-shot victory in the Bob Hope Classic on the final hole

text: a one-shot victory in the Bob Hope Classic on the final hole

question: who finished tie for second place?

answer: Tim Clark, Matt Kuchar and Bubba Watson

text: Tim Clark, Matt Kuchar and Bubba Watson

question: Haas completed his victory with what?

answer: one-shot

text: one-shot

question: Who all finished tied for second?

answer: Tim Clark, Matt Kuchar and Bubba Watson

text: Tim Clark, Matt Kuchar and Bubba Watson


text:
(WIRED) -- Hackers who commandeer your computer are bad enough. Now scientists worry that someday, they'll try to take over your brain.

Scientists can use brain signals to control computers -- hands free.

In the past year, researchers have developed technology that makes it possible to use thoughts to operate a computer, maneuver a wheelchair or even use Twitter -- all without lifting a finger. But as neural devices become more complicated, and go wireless, some scientists say the risks of "brain hacking" should be taken seriously.

"Neural devices are innovating at an extremely rapid rate and hold tremendous promise for the future," said computer security expert Tadayoshi Kohno of the University of Washington.

"But if we don't start paying attention to security, we're worried that we might find ourselves in five or 10 years saying we've made a big mistake."

Hackers tap into personal computers all the time. But what would happen if they focused their nefarious energy on neural devices, such as the deep-brain stimulators used to treat Parkinson's and depression, or electrode systems for controlling prosthetic limbs?

According to Kohno and his colleagues, who published their concerns July 1 in Neurosurgical Focus, most devices carry few security risks. But as neural engineering becomes more complex and more widespread, the potential for security breaches will mushroom.

"It's very hard to design complex systems that don't have bugs," Kohno said. "As these medical devices start to become more and more complicated, it gets easier and easier for people to overlook a bug that could become a very serious risk. It might border on science fiction today, but so did going to the moon 50 years ago."

Some might question why anyone would want to hack into someone else's brain, but the researchers say there's a precedent for using computers to cause neurological harm. In November 2007 and March 2008, malicious programmers vandalized epilepsy support Web sites by putting up flashing animations, which caused seizures in some photo-sensitive patients.

"It happened on two separate occasions," said computer science graduate student Tamara Denning, a co-author on the paper. "It's evidence that people will be malicious and try to compromise peoples' health using computers, especially if neural devices become more widespread."

In some cases, patients might even want to hack into their own neural device. Unlike devices to control prosthetic limbs, which still use wires, many deep brain stimulators already rely on wireless signals. Hacking into these devices could enable patients to "self-prescribe" elevated moods or pain relief by increasing the activity of the brain's reward centers.

Despite the risks, Kohno said, most new devices aren't created with security in mind. Neural engineers carefully consider the safety and reliability of new equipment, and neuroethicists focus on whether a new device fits ethical guidelines. But until now, few groups have considered how neural devices might be hijacked to perform unintended actions. This is the first time an academic paper has addressed the topic of "neurosecurity," a term the group coined to describe their field.

"The security and privacy issues somehow seem to slip by," Kohno said. "I would not be surprised if most people working in this space have never thought about security."

Kevin Otto, a bioengineer who studies brain-machine interfaces at Purdue Universty, said he was initially skeptical of the research. "When I first picked up the paper, I don't know if I agreed that it was an issue. But the paper gives a very compelling argument that this is important, and that this is the time to have neural engineers collaborate with security developers."

It's never too early to start thinking about security issues, said neural engineer Justin Williams of the University of Wisconsin, who was not involved in the research. But he stressed that the kinds of devices available today are not susceptible to attack, and that fear of future risks shouldn't impede progress in the field. "These kinds of security issues have to proceed in lockstep with the technology," Williams said.

History provides plenty of examples of why it's important to think about security before it becomes a problem, Kohno said. Perhaps the best example is the Internet, which was originally conceived as a research project and didn't take security into account.

"Because the Internet was not originally designed with security in mind," the researchers wrote, "it is incredibly challenging -- if not impossible -- to retrofit the existing Internet infrastructure to meet all of today's security goals." Kohno and his colleagues hope to avoid such problems in the neural device world, by getting the community to discuss potential security problems before they become a reality.

"The first thing is to ask ourselves is, 'Could there be a security and privacy problem?'" Kohno said. "Asking 'Is there a problem?' gets you 90 percent there, and that's the most important thing."

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text: WIRED

text: Hackers

text: who

text: commandeer

text: your

text: computer

text: are

text: bad

text: enough

text: Now

text: scientists

text: worry

text: that

text: someday

text: they

text: 'll

text: try

text: to

text: take

text: over

text: your

text: brain

text: Scientists

text: can

text: use

text: brain

text: signals

text: to

text: control

text: computers

text: hands

text: free

text: In

text: the

text: past

text: year

text: researchers

text: have

text: developed

text: technology

text: that

text: makes

text: it

text: possible

text: to

text: use

text: thoughts

text: to

text: operate

text: a

text: computer

text: maneuver

text: a

text: wheelchair

text: or

text: even

text: use

text: Twitter

text: all

text: without

text: lifting

text: a

text: finger

text: But

text: as

text: neural

text: devices

text: become

text: more

text: complicated

text: and

text: go

text: wireless

text: some

text: scientists

text: say

text: the

text: risks

text: of

text: brain

text: hacking

text: should

text: be

text: taken

text: seriously

text: Neural

text: devices

text: are

text: innovating

text: at

text: an

text: extremely

text: rapid

text: rate

text: and

text: hold

text: tremendous

text: promise

text: for

text: the

text: future

text: said

text: computer

text: security

text: expert

text: Tadayoshi

text: Kohno

text: of

text: the

text: University

text: of

text: Washington

text: But

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text: we

text: do

text: n't

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text: attention

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text: security

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text: 're

text: worried

text: that

text: we

text: might

text: find

text: ourselves

text: in

text: five

text: or

text: years

text: saying

text: we

text: 've

text: made

text: a

text: big

text: mistake

text: Hackers

text: tap

text: into

text: personal

text: computers

text: all

text: the

text: time

text: But

text: what

text: would

text: happen

text: if

text: they

text: focused

text: their

text: nefarious

text: energy

text: on

text: neural

text: devices

text: such

text: as

text: the

text: deep

text: brain

text: stimulators

text: used

text: to

text: treat

text: Parkinson

text: 's

text: and

text: depression

text: or

text: electrode

text: systems

text: for

text: controlling

text: prosthetic

text: limbs

text: According

text: to

text: Kohno

text: and

text: his

text: colleagues

text: who

text: published

text: their

text: concerns

text: July

text: in

text: Neurosurgical

text: Focus

text: most

text: devices

text: carry

text: few

text: security

text: risks

text: But

text: as

text: neural

text: engineering

text: becomes

text: more

text: complex

text: and

text: more

text: widespread

text: the

text: potential

text: for

text: security

text: breaches

text: will

text: mushroom

text: It

text: 's

text: very

text: hard

text: to

text: design

text: complex

text: systems

text: that

text: do

text: n't

text: have

text: bugs

text: Kohno

text: said

text: As

text: these

text: medical

text: devices

text: start

text: to

text: become

text: more

text: and

text: more

text: complicated

text: it

text: gets

text: easier

text: and

text: easier

text: for

text: people

text: to

text: overlook

text: a

text: bug

text: that

text: could

text: become

text: a

text: very

text: serious

text: risk

text: It

text: might

text: border

text: on

text: science

text: fiction

text: today

text: but

text: so

text: did

text: going

text: to

text: the

text: moon

text: years

text: ago

text: Some

text: might

text: question

text: why

text: anyone

text: would

text: want

text: to

text: hack

text: into

text: someone

text: else

text: 's

text: brain

text: but

text: the

text: researchers

text: say

text: there

text: 's

text: a

text: precedent

text: for

text: using

text: computers

text: to

text: cause

text: neurological

text: harm

text: In

text: November

text: and

text: March

text: malicious

text: programmers

text: vandalized

text: epilepsy

text: support

text: Web

text: sites

text: by

text: putting

text: up

text: flashing

text: animations

text: which

text: caused

text: seizures

text: in

text: some

text: photo

text: sensitive

text: patients

text: It

text: happened

text: on

text: two

text: separate

text: occasions

text: said

text: computer

text: science

text: graduate

text: student

text: Tamara

text: Denning

text: a

text: co

text: author

text: on

text: the

text: paper

text: It

text: 's

text: evidence

text: that

text: people

text: will

text: be

text: malicious

text: and

text: try

text: to

text: compromise

text: peoples

text: health

text: using

text: computers

text: especially

text: if

text: neural

text: devices

text: become

text: more

text: widespread

text: In

text: some

text: cases

text: patients

text: might

text: even

text: want

text: to

text: hack

text: into

text: their

text: own

text: neural

text: device

text: Unlike

text: devices

text: to

text: control

text: prosthetic

text: limbs

text: which

text: still

text: use

text: wires

text: many

text: deep

text: brain

text: stimulators

text: already

text: rely

text: on

text: wireless

text: signals

text: Hacking

text: into

text: these

text: devices

text: could

text: enable

text: patients

text: to

text: self

text: prescribe

text: elevated

text: moods

text: or

text: pain

text: relief

text: by

text: increasing

text: the

text: activity

text: of

text: the

text: brain

text: 's

text: reward

text: centers

text: Despite

text: the

text: risks

text: Kohno

text: said

text: most

text: new

text: devices

text: are

text: n't

text: created

text: with

text: security

text: in

text: mind

text: Neural

text: engineers

text: carefully

text: consider

text: the

text: safety

text: and

text: reliability

text: of

text: new

text: equipment

text: and

text: neuroethicists

text: focus

text: on

text: whether

text: a

text: new

text: device

text: fits

text: ethical

text: guidelines

text: But

text: until

text: now

text: few

text: groups

text: have

text: considered

text: how

text: neural

text: devices

text: might

text: be

text: hijacked

text: to

text: perform

text: unintended

text: actions

text: This

text: is

text: the

text: first

text: time

text: an

text: academic

text: paper

text: has

text: addressed

text: the

text: topic

text: of

text: neurosecurity

text: a

text: term

text: the

text: group

text: coined

text: to

text: describe

text: their

text: field

text: The

text: security

text: and

text: privacy

text: issues

text: somehow

text: seem

text: to

text: slip

text: by

text: Kohno

text: said

text: I

text: would

text: not

text: be

text: surprised

text: if

text: most

text: people

text: working

text: in

text: this

text: space

text: have

text: never

text: thought

text: about

text: security

text: Kevin

text: Otto

text: a

text: bioengineer

text: who

text: studies

text: brain

text: machine

text: interfaces

text: at

text: Purdue

text: Universty

text: said

text: he

text: was

text: initially

text: skeptical

text: of

text: the

text: research

text: When

text: I

text: first

text: picked

text: up

text: the

text: paper

text: I

text: do

text: n't

text: know

text: if

text: I

text: agreed

text: that

text: it

text: was

text: an

text: issue

text: But

text: the

text: paper

text: gives

text: a

text: very

text: compelling

text: argument

text: that

text: this

text: is

text: important

text: and

text: that

text: this

text: is

text: the

text: time

text: to

text: have

text: neural

text: engineers

text: collaborate

text: with

text: security

text: developers

text: It

text: 's

text: never

text: too

text: early

text: to

text: start

text: thinking

text: about

text: security

text: issues

text: said

text: neural

text: engineer

text: Justin

text: Williams

text: of

text: the

text: University

text: of

text: Wisconsin

text: who

text: was

text: not

text: involved

text: in

text: the

text: research

text: But

text: he

text: stressed

text: that

text: the

text: kinds

text: of

text: devices

text: available

text: today

text: are

text: not

text: susceptible

text: to

text: attack

text: and

text: that

text: fear

text: of

text: future

text: risks

text: should

text: n't

text: impede

text: progress

text: in

text: the

text: field

text: These

text: kinds

text: of

text: security

text: issues

text: have

text: to

text: proceed

text: in

text: lockstep

text: with

text: the

text: technology

text: Williams

text: said

text: History

text: provides

text: plenty

text: of

text: examples

text: of

text: why

text: it

text: 's

text: important

text: to

text: think

text: about

text: security

text: before

text: it

text: becomes

text: a

text: problem

text: Kohno

text: said

text: Perhaps

text: the

text: best

text: example

text: is

text: the

text: Internet

text: which

text: was

text: originally

text: conceived

text: as

text: a

text: research

text: project

text: and

text: did

text: n't

text: take

text: security

text: into

text: account

text: Because

text: the

text: Internet

text: was

text: not

text: originally

text: designed

text: with

text: security

text: in

text: mind

text: the

text: researchers

text: wrote

text: it

text: is

text: incredibly

text: challenging

text: if

text: not

text: impossible

text: to

text: retrofit

text: the

text: existing

text: Internet

text: infrastructure

text: to

text: meet

text: all

text: of

text: today

text: 's

text: security

text: goals

text: Kohno

text: and

text: his

text: colleagues

text: hope

text: to

text: avoid

text: such

text: problems

text: in

text: the

text: neural

text: device

text: world

text: by

text: getting

text: the

text: community

text: to

text: discuss

text: potential

text: security

text: problems

text: before

text: they

text: become

text: a

text: reality

text: The

text: first

text: thing

text: is

text: to

text: ask

text: ourselves

text: is

text: Could

text: there

text: be

text: a

text: security

text: and

text: privacy

text: problem

text: Kohno

text: said

text: Asking

text: Is

text: there

text: a

text: problem

text: gets

text: you

text: percent

text: there

text: and

text: that

text: 's

text: the

text: most

text: important

text: thing

text: Subscribe

text: to

text: WIRED

text: magazine

text: for

text: less

text: than

text: an

text: issue

text: and

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text: a

text: FREE

text: GIFT

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question: What are the slim risks?

answer: "brain hacking"

text: "brain hacking"

question: What says expert security?

answer: "Neural devices are innovating at an extremely rapid rate and hold tremendous promise for the future," said computer

text: "Neural devices are innovating at an extremely rapid rate and hold tremendous promise for the future," said computer

question: Who can use thoughts to operate computers?

answer: Scientists

text: Scientists