text:
(CNN) -- A severely disfigured woman received the nose, cheeks, upper jaw and facial tissue from a female cadaver in the first near-total face transplant in the United States, the woman's surgeon said Wednesday.

Cleveland Clinic doctors replaced 80 percent of a woman's face two weeks ago in the first such U.S. surgery.

The 22-hour face surgery was completed two weeks ago by a team of eight surgeons at the Cleveland Clinic.

The patient had severe deformity in the middle of her face and was missing her right eye and upper jaw, the Cleveland Clinic doctors said. She could not taste or smell, and she had trouble speaking.

Dr. Maria Siemionow, the head of plastic surgery research at the Cleveland, Ohio, hospital, said many people are "hiding from society because they're afraid to walk to the grocery stores; they're afraid to go to streets because they're called names and humiliated."

"Our patient was called names, and our patient was humiliated," she said. "We very much hope for this special group of patients, there is hope, and one day they will be able to go comfortably from their houses and enjoy the things which we take for granted."

The patient is doing well, the doctors said.  Interactive: More details of the surgery Â»

Details about the recipient, including her name and age, were withheld at her request.

In the surgery, 80 percent of the woman's face was transplanted. The forehead and chin were left intact.

In this transplant, tissue from the donor's face was shaped and fitted into position. Multiple layers of tissue, bone, muscles and blood vessels, nerve grafts and each artery and vein were connected.  Watch an explanation about face transplants Â»

"Our hope is she should be able to smile again," said Dr. Frank A. Papay, chairman of the Dermatology and Plastic Surgery Institute at the Cleveland Clinic.

With physical therapy, surgeons hope the patient will regain her ability to smell and blink and will have other facial functions.

Siemionow said the patient never saw a photo of the donor and said, "the donor never looks like the recipient. The recipient never looks like the donor."

Siemionow had medical and ethical clearance for a full facial transplant since 2004. She said it has taken 20 years of research and four years to find the right patient who understood the risks involved.

The doctors' approach from the beginning was to consider "only patients who are the most disfigured" and had "exhausted all existing procedures," Siemionow said.

"This patient exhausted all conventional means of reconstruction and is the right patient," she said.  Watch Dr. Siemionow in the news conference. Â»

Dr. Eric Kodish, the professor and chairman of the Cleveland Clinic's Department of Bioethics, said doctors thought she would adhere to medications after the surgery.

"This patient had very robust decision-making capacity," he said.

Like with all transplants, there is a risk that the recipient's body could reject the graft. The doctors say they haven't seen any such signs.

The transplant recipient has to take immune-suppressing drugs for the rest of his or her life to prevent rejection of the donated tissue.

In the past three years, facial transplants have been completed in France and China, but these cases have raised medical and ethical questions. Read about the first facial transplant

Some candidates for a face transplant are survivors of trauma, such as burn or accident victims, who have exhausted all other reconstructive possibilities.

The recipient in France, Isabelle Dinoire, had been mauled by a dog, and the Chinese man, Li Guoxing, was attacked by a bear. Both received major facial disfigurements.

In 2007, a French team performed the third partial facial transplant on a man who was disfigured by a genetic disorder that created large tumors on his face. Watch a 2006 report about China's first face transplant

Guo Shuzhong, the face transplant doctor who handled Li's case, confirmed to CNN that he died in July of unknown causes. Li last visited the hospital in summer 2007, and he stayed in his hometown in Yunnan province.

The doctor told CNN that Li had a checkup in a small hospital in his hometown three weeks before his death but that no health problems had been found. Watch an ITN report about the Li's case

The facial transplants in France and China generated much controversy as questions arose about whether the patients were adequately vetted and informed about the risks. Those procedures have been "under an ethical cloud," said David Young, a professor of plastic surgery at the University of California, San Francisco.

The current face transplant patient understood the risk of rejection and of immunosuppressants, doctors said.

Criticism of facial transplants

Critics such as Peter A. Clark, director of the Institute of Catholic Bioethics at St. Joseph's University in Philadelphia, Pennsylvania, said a facial transplant introduces unnecessary risks for a procedure that is not a matter of life and death.

"With something like a liver or kidney transplant, it's a life or death transplant," Clark said. "Even with a kidney or liver [transplant], you have to be put on immunosuppressants with serious side effects."

Bioethicist Dr. Arthur Caplan, chairman of the University of Pennsylvania's Medical Ethics Department, said Wednesday on CNN's "American Morning" that he initially had similar qualms about the facial transplant, which improves the quality of a life rather than saving it, but was gradually convinced.

People with major facial disfigurements "don't come out and basically stay at home and have a huge suicide rate," Caplan said. "They're really up against it."

At the news conference Wednesday, Kodish said the transplant had "abundant moral justification": the face as a personal embodiment as self.

He added that people with disfigurements are often isolated and suffer tremendously and that this case was "not cosmetic surgery in any sense."

Patient's reaction

Doctors at the Cleveland Clinic said that because the patient has limited vision after the surgery, she has yet to see herself.

"At this point she can't see herself but can feel her face," Siemionow said. "She was happy when she could go over her face" and could feel that "she has a nose, she has jaws and has a full face."

After the surgery, the patient was heavily sedated from being on the breathing machine.

As she was slowly awakening, medical staff members asked her how she was feeling and whether she was comfortable.

"She gave a thumbs up, first indication she was comfortable," said Dr. Chad Gordon, a fellow at the clinic's department of plastic surgery. "She has been speaking to us very slightly. Most of communication has been through writing."

Siemionow said the patient will need re-educate her facial motion and need three to six months of nerve regeneration.

CNN's Miriam Falco and Judy Kwon contributed to this report.

text: CNN

text: A

text: severely

text: disfigured

text: woman

text: received

text: the

text: nose

text: cheeks

text: upper

text: jaw

text: and

text: facial

text: tissue

text: from

text: a

text: female

text: cadaver

text: in

text: the

text: first

text: near

text: total

text: face

text: transplant

text: in

text: the

text: United

text: States

text: the

text: woman

text: 's

text: surgeon

text: said

text: Wednesday

text: Cleveland

text: Clinic

text: doctors

text: replaced

text: percent

text: of

text: a

text: woman

text: 's

text: face

text: two

text: weeks

text: ago

text: in

text: the

text: first

text: such

text: U.S.

text: surgery

text: The

text: face

text: surgery

text: was

text: completed

text: two

text: weeks

text: ago

text: by

text: a

text: team

text: of

text: eight

text: surgeons

text: at

text: the

text: Cleveland

text: Clinic

text: The

text: patient

text: had

text: severe

text: deformity

text: in

text: the

text: middle

text: of

text: her

text: face

text: and

text: was

text: missing

text: her

text: right

text: eye

text: and

text: upper

text: jaw

text: the

text: Cleveland

text: Clinic

text: doctors

text: said

text: She

text: could

text: not

text: taste

text: or

text: smell

text: and

text: she

text: had

text: trouble

text: speaking

text: Dr.

text: Maria

text: Siemionow

text: the

text: head

text: of

text: plastic

text: surgery

text: research

text: at

text: the

text: Cleveland

text: Ohio

text: hospital

text: said

text: many

text: people

text: are

text: hiding

text: from

text: society

text: because

text: they

text: 're

text: afraid

text: to

text: walk

text: to

text: the

text: grocery

text: stores

text: they

text: 're

text: afraid

text: to

text: go

text: to

text: streets

text: because

text: they

text: 're

text: called

text: names

text: and

text: humiliated

text: Our

text: patient

text: was

text: called

text: names

text: and

text: our

text: patient

text: was

text: humiliated

text: she

text: said

text: We

text: very

text: much

text: hope

text: for

text: this

text: special

text: group

text: of

text: patients

text: there

text: is

text: hope

text: and

text: one

text: day

text: they

text: will

text: be

text: able

text: to

text: go

text: comfortably

text: from

text: their

text: houses

text: and

text: enjoy

text: the

text: things

text: which

text: we

text: take

text: for

text: granted

text: The

text: patient

text: is

text: doing

text: well

text: the

text: doctors

text: said

text: Interactive

text: More

text: details

text: of

text: the

text: surgery

text: Â

text: Details

text: about

text: the

text: recipient

text: including

text: her

text: name

text: and

text: age

text: were

text: withheld

text: at

text: her

text: request

text: In

text: the

text: surgery

text: percent

text: of

text: the

text: woman

text: 's

text: face

text: was

text: transplanted

text: The

text: forehead

text: and

text: chin

text: were

text: left

text: intact

text: In

text: this

text: transplant

text: tissue

text: from

text: the

text: donor

text: 's

text: face

text: was

text: shaped

text: and

text: fitted

text: into

text: position

text: Multiple

text: layers

text: of

text: tissue

text: bone

text: muscles

text: and

text: blood

text: vessels

text: nerve

text: grafts

text: and

text: each

text: artery

text: and

text: vein

text: were

text: connected

text: Watch

text: an

text: explanation

text: about

text: face

text: transplants

text: Â

text: Our

text: hope

text: is

text: she

text: should

text: be

text: able

text: to

text: smile

text: again

text: said

text: Dr.

text: Frank

text: A.

text: Papay

text: chairman

text: of

text: the

text: Dermatology

text: and

text: Plastic

text: Surgery

text: Institute

text: at

text: the

text: Cleveland

text: Clinic

text: With

text: physical

text: therapy

text: surgeons

text: hope

text: the

text: patient

text: will

text: regain

text: her

text: ability

text: to

text: smell

text: and

text: blink

text: and

text: will

text: have

text: other

text: facial

text: functions

text: Siemionow

text: said

text: the

text: patient

text: never

text: saw

text: a

text: photo

text: of

text: the

text: donor

text: and

text: said

text: the

text: donor

text: never

text: looks

text: like

text: the

text: recipient

text: The

text: recipient

text: never

text: looks

text: like

text: the

text: donor

text: Siemionow

text: had

text: medical

text: and

text: ethical

text: clearance

text: for

text: a

text: full

text: facial

text: transplant

text: since

text: She

text: said

text: it

text: has

text: taken

text: years

text: of

text: research

text: and

text: four

text: years

text: to

text: find

text: the

text: right

text: patient

text: who

text: understood

text: the

text: risks

text: involved

text: The

text: doctors

text: approach

text: from

text: the

text: beginning

text: was

text: to

text: consider

text: only

text: patients

text: who

text: are

text: the

text: most

text: disfigured

text: and

text: had

text: exhausted

text: all

text: existing

text: procedures

text: Siemionow

text: said

text: This

text: patient

text: exhausted

text: all

text: conventional

text: means

text: of

text: reconstruction

text: and

text: is

text: the

text: right

text: patient

text: she

text: said

text: Watch

text: Dr.

text: Siemionow

text: in

text: the

text: news

text: conference

text: Â

text: Dr.

text: Eric

text: Kodish

text: the

text: professor

text: and

text: chairman

text: of

text: the

text: Cleveland

text: Clinic

text: 's

text: Department

text: of

text: Bioethics

text: said

text: doctors

text: thought

text: she

text: would

text: adhere

text: to

text: medications

text: after

text: the

text: surgery

text: This

text: patient

text: had

text: very

text: robust

text: decision

text: making

text: capacity

text: he

text: said

text: Like

text: with

text: all

text: transplants

text: there

text: is

text: a

text: risk

text: that

text: the

text: recipient

text: 's

text: body

text: could

text: reject

text: the

text: graft

text: The

text: doctors

text: say

text: they

text: have

text: n't

text: seen

text: any

text: such

text: signs

text: The

text: transplant

text: recipient

text: has

text: to

text: take

text: immune

text: suppressing

text: drugs

text: for

text: the

text: rest

text: of

text: his

text: or

text: her

text: life

text: to

text: prevent

text: rejection

text: of

text: the

text: donated

text: tissue

text: In

text: the

text: past

text: three

text: years

text: facial

text: transplants

text: have

text: been

text: completed

text: in

text: France

text: and

text: China

text: but

text: these

text: cases

text: have

text: raised

text: medical

text: and

text: ethical

text: questions

text: Read

text: about

text: the

text: first

text: facial

text: transplant

text: Some

text: candidates

text: for

text: a

text: face

text: transplant

text: are

text: survivors

text: of

text: trauma

text: such

text: as

text: burn

text: or

text: accident

text: victims

text: who

text: have

text: exhausted

text: all

text: other

text: reconstructive

text: possibilities

text: The

text: recipient

text: in

text: France

text: Isabelle

text: Dinoire

text: had

text: been

text: mauled

text: by

text: a

text: dog

text: and

text: the

text: Chinese

text: man

text: Li

text: Guoxing

text: was

text: attacked

text: by

text: a

text: bear

text: Both

text: received

text: major

text: facial

text: disfigurements

text: In

text: a

text: French

text: team

text: performed

text: the

text: third

text: partial

text: facial

text: transplant

text: on

text: a

text: man

text: who

text: was

text: disfigured

text: by

text: a

text: genetic

text: disorder

text: that

text: created

text: large

text: tumors

text: on

text: his

text: face

text: Watch

text: a

text: report

text: about

text: China

text: 's

text: first

text: face

text: transplant

text: Guo

text: Shuzhong

text: the

text: face

text: transplant

text: doctor

text: who

text: handled

text: Li

text: 's

text: case

text: confirmed

text: to

text: CNN

text: that

text: he

text: died

text: in

text: July

text: of

text: unknown

text: causes

text: Li

text: last

text: visited

text: the

text: hospital

text: in

text: summer

text: and

text: he

text: stayed

text: in

text: his

text: hometown

text: in

text: Yunnan

text: province

text: The

text: doctor

text: told

text: CNN

text: that

text: Li

text: had

text: a

text: checkup

text: in

text: a

text: small

text: hospital

text: in

text: his

text: hometown

text: three

text: weeks

text: before

text: his

text: death

text: but

text: that

text: no

text: health

text: problems

text: had

text: been

text: found

text: Watch

text: an

text: ITN

text: report

text: about

text: the

text: Li

text: 's

text: case

text: The

text: facial

text: transplants

text: in

text: France

text: and

text: China

text: generated

text: much

text: controversy

text: as

text: questions

text: arose

text: about

text: whether

text: the

text: patients

text: were

text: adequately

text: vetted

text: and

text: informed

text: about

text: the

text: risks

text: Those

text: procedures

text: have

text: been

text: under

text: an

text: ethical

text: cloud

text: said

text: David

text: Young

text: a

text: professor

text: of

text: plastic

text: surgery

text: at

text: the

text: University

text: of

text: California

text: San

text: Francisco

text: The

text: current

text: face

text: transplant

text: patient

text: understood

text: the

text: risk

text: of

text: rejection

text: and

text: of

text: immunosuppressants

text: doctors

text: said

text: Criticism

text: of

text: facial

text: transplants

text: Critics

text: such

text: as

text: Peter

text: A.

text: Clark

text: director

text: of

text: the

text: Institute

text: of

text: Catholic

text: Bioethics

text: at

text: St.

text: Joseph

text: 's

text: University

text: in

text: Philadelphia

text: Pennsylvania

text: said

text: a

text: facial

text: transplant

text: introduces

text: unnecessary

text: risks

text: for

text: a

text: procedure

text: that

text: is

text: not

text: a

text: matter

text: of

text: life

text: and

text: death

text: With

text: something

text: like

text: a

text: liver

text: or

text: kidney

text: transplant

text: it

text: 's

text: a

text: life

text: or

text: death

text: transplant

text: Clark

text: said

text: Even

text: with

text: a

text: kidney

text: or

text: liver

text: transplant

text: you

text: have

text: to

text: be

text: put

text: on

text: immunosuppressants

text: with

text: serious

text: side

text: effects

text: Bioethicist

text: Dr.

text: Arthur

text: Caplan

text: chairman

text: of

text: the

text: University

text: of

text: Pennsylvania

text: 's

text: Medical

text: Ethics

text: Department

text: said

text: Wednesday

text: on

text: CNN

text: 's

text: American

text: Morning

text: that

text: he

text: initially

text: had

text: similar

text: qualms

text: about

text: the

text: facial

text: transplant

text: which

text: improves

text: the

text: quality

text: of

text: a

text: life

text: rather

text: than

text: saving

text: it

text: but

text: was

text: gradually

text: convinced

text: People

text: with

text: major

text: facial

text: disfigurements

text: do

text: n't

text: come

text: out

text: and

text: basically

text: stay

text: at

text: home

text: and

text: have

text: a

text: huge

text: suicide

text: rate

text: Caplan

text: said

text: They

text: 're

text: really

text: up

text: against

text: it

text: At

text: the

text: news

text: conference

text: Wednesday

text: Kodish

text: said

text: the

text: transplant

text: had

text: abundant

text: moral

text: justification

text: the

text: face

text: as

text: a

text: personal

text: embodiment

text: as

text: self

text: He

text: added

text: that

text: people

text: with

text: disfigurements

text: are

text: often

text: isolated

text: and

text: suffer

text: tremendously

text: and

text: that

text: this

text: case

text: was

text: not

text: cosmetic

text: surgery

text: in

text: any

text: sense

text: Patient

text: 's

text: reaction

text: Doctors

text: at

text: the

text: Cleveland

text: Clinic

text: said

text: that

text: because

text: the

text: patient

text: has

text: limited

text: vision

text: after

text: the

text: surgery

text: she

text: has

text: yet

text: to

text: see

text: herself

text: At

text: this

text: point

text: she

text: ca

text: n't

text: see

text: herself

text: but

text: can

text: feel

text: her

text: face

text: Siemionow

text: said

text: She

text: was

text: happy

text: when

text: she

text: could

text: go

text: over

text: her

text: face

text: and

text: could

text: feel

text: that

text: she

text: has

text: a

text: nose

text: she

text: has

text: jaws

text: and

text: has

text: a

text: full

text: face

text: After

text: the

text: surgery

text: the

text: patient

text: was

text: heavily

text: sedated

text: from

text: being

text: on

text: the

text: breathing

text: machine

text: As

text: she

text: was

text: slowly

text: awakening

text: medical

text: staff

text: members

text: asked

text: her

text: how

text: she

text: was

text: feeling

text: and

text: whether

text: she

text: was

text: comfortable

text: She

text: gave

text: a

text: thumbs

text: up

text: first

text: indication

text: she

text: was

text: comfortable

text: said

text: Dr.

text: Chad

text: Gordon

text: a

text: fellow

text: at

text: the

text: clinic

text: 's

text: department

text: of

text: plastic

text: surgery

text: She

text: has

text: been

text: speaking

text: to

text: us

text: very

text: slightly

text: Most

text: of

text: communication

text: has

text: been

text: through

text: writing

text: Siemionow

text: said

text: the

text: patient

text: will

text: need

text: re

text: educate

text: her

text: facial

text: motion

text: and

text: need

text: three

text: to

text: six

text: months

text: of

text: nerve

text: regeneration

text: CNN

text: 's

text: Miriam

text: Falco

text: and

text: Judy

text: Kwon

text: contributed

text: to

text: this

text: report

question: Since when did she have had clearance?

answer: e 2004

text: e 2004

question: who led face transplant

answer: Dr. Maria Siemionow,

text: Dr. Maria Siemionow,

question: Who led the face transplant team?

answer: Dr. Maria Siemionow,

text: Dr. Maria Siemionow,

question: Who has had clearance to perform full facial transplant since 2004?

answer: Dr. Maria Siemionow,

text: Dr. Maria Siemionow,

question: What kind of team did she lead?

answer: plastic surgery

text: plastic surgery

question: What was reportedly transplanted?

answer: nose, cheeks, upper jaw and facial tissue from a female

text: nose, cheeks, upper jaw and facial tissue from a female

question: How many percent of trauma patient's face was reportedly transplanted?

answer: 80

question: how much was transplanted

answer: 80 percent of a woman's face

text: 80 percent of a woman's face

question: who got clearance

answer: Siemiono

text: Siemiono


text:
Manila, Philippines (CNN) -- A Filipino-American woman abducted in July in the Philippines was found Sunday on an island stronghold of the Islamic militant group Abu Sayyaf, police said.

Gerfa Yeatts Lunsmann, 43, was found at Suba Kampong township on the Philippine island of Basilan after her captors released her, said Bienvenido Latag of the Philippine National Police.

The U.S. Embassy in Manila on Monday confirmed Lunsmann's release in Basilan after she was held hostage by a still unidentified group of bandits.

Latag did not say why Lunsmann was released, but the mayor of the town where Lunsmann was taken after she was released said she was freed following negotiations between her husband and her abductors.

Mayor Cesar Lobregat, head of a Crisis Management Committee in Zamboanga City, declined to confirm whether officials paid a ransom.

Fourteen gunmen snatched Lunsmann in July while she was vacationing with her family on the island of Tictabon, authorities said. The gunmen also took hostage Lunsmann's 14-year-old son, Kevin, and her 19-year-old Filipino nephew, Romnick Jakaria, they said.

Authorities said the abductors forced Lunsmann and her family to board awaiting boats, which then sped off in the direction of Basilan.

It was not immediately known whether the captors are still holding Lunsmann's son and nephew.

Lunsmann was adopted by Americans when she was 9 and grew up in Virginia. She eventually married a German citizen. Both she and the son, Kevin, are U.S. passport holders.

Police at the time of the abduction said they suspected the son attracted attention because of his distinctive mixed-race looks in an area with few foreign tourists.

Basilan serves as a base for Abu Sayyaf, which wants to establish a separate state for the Philippines' minority Muslim population. The U.S. State Department considers the group a terrorist organization and says it is linked to al Qaeda. The Philippines government has been fighting to contain the militants.

Abu Sayyaf has been blamed for several terrorist attacks in the Philippines, including the bombing of a ferry in 2004 that left about 130 people dead, as well as past kidnappings.

text: Manila

text: Philippines

text: CNN

text: A

text: Filipino

text: American

text: woman

text: abducted

text: in

text: July

text: in

text: the

text: Philippines

text: was

text: found

text: Sunday

text: on

text: an

text: island

text: stronghold

text: of

text: the

text: Islamic

text: militant

text: group

text: Abu

text: Sayyaf

text: police

text: said

text: Gerfa

text: Yeatts

text: Lunsmann

text: was

text: found

text: at

text: Suba

text: Kampong

text: township

text: on

text: the

text: Philippine

text: island

text: of

text: Basilan

text: after

text: her

text: captors

text: released

text: her

text: said

text: Bienvenido

text: Latag

text: of

text: the

text: Philippine

text: National

text: Police

text: The

text: U.S.

text: Embassy

text: in

text: Manila

text: on

text: Monday

text: confirmed

text: Lunsmann

text: 's

text: release

text: in

text: Basilan

text: after

text: she

text: was

text: held

text: hostage

text: by

text: a

text: still

text: unidentified

text: group

text: of

text: bandits

text: Latag

text: did

text: not

text: say

text: why

text: Lunsmann

text: was

text: released

text: but

text: the

text: mayor

text: of

text: the

text: town

text: where

text: Lunsmann

text: was

text: taken

text: after

text: she

text: was

text: released

text: said

text: she

text: was

text: freed

text: following

text: negotiations

text: between

text: her

text: husband

text: and

text: her

text: abductors

text: Mayor

text: Cesar

text: Lobregat

text: head

text: of

text: a

text: Crisis

text: Management

text: Committee

text: in

text: Zamboanga

text: City

text: declined

text: to

text: confirm

text: whether

text: officials

text: paid

text: a

text: ransom

text: Fourteen

text: gunmen

text: snatched

text: Lunsmann

text: in

text: July

text: while

text: she

text: was

text: vacationing

text: with

text: her

text: family

text: on

text: the

text: island

text: of

text: Tictabon

text: authorities

text: said

text: The

text: gunmen

text: also

text: took

text: hostage

text: Lunsmann

text: 's

text: old

text: son

text: Kevin

text: and

text: her

text: old

text: Filipino

text: nephew

text: Romnick

text: Jakaria

text: they

text: said

text: Authorities

text: said

text: the

text: abductors

text: forced

text: Lunsmann

text: and

text: her

text: family

text: to

text: board

text: awaiting

text: boats

text: which

text: then

text: sped

text: off

text: in

text: the

text: direction

text: of

text: Basilan

text: It

text: was

text: not

text: immediately

text: known

text: whether

text: the

text: captors

text: are

text: still

text: holding

text: Lunsmann

text: 's

text: son

text: and

text: nephew

text: Lunsmann

text: was

text: adopted

text: by

text: Americans

text: when

text: she

text: was

text: and

text: grew

text: up

text: in

text: Virginia

text: She

text: eventually

text: married

text: a

text: German

text: citizen

text: Both

text: she

text: and

text: the

text: son

text: Kevin

text: are

text: U.S.

text: passport

text: holders

text: Police

text: at

text: the

text: time

text: of

text: the

text: abduction

text: said

text: they

text: suspected

text: the

text: son

text: attracted

text: attention

text: because

text: of

text: his

text: distinctive

text: mixed

text: race

text: looks

text: in

text: an

text: area

text: with

text: few

text: foreign

text: tourists

text: Basilan

text: serves

text: as

text: a

text: base

text: for

text: Abu

text: Sayyaf

text: which

text: wants

text: to

text: establish

text: a

text: separate

text: state

text: for

text: the

text: Philippines

text: minority

text: Muslim

text: population

text: The

text: U.S.

text: State

text: Department

text: considers

text: the

text: group

text: a

text: terrorist

text: organization

text: and

text: says

text: it

text: is

text: linked

text: to

text: al

text: Qaeda

text: The

text: Philippines

text: government

text: has

text: been

text: fighting

text: to

text: contain

text: the

text: militants

text: Abu

text: Sayyaf

text: has

text: been

text: blamed

text: for

text: several

text: terrorist

text: attacks

text: in

text: the

text: Philippines

text: including

text: the

text: bombing

text: of

text: a

text: ferry

text: in

text: that

text: left

text: about

text: people

text: dead

text: as

text: well

text: as

text: past

text: kidnappings

question: Was she abducted alone?

answer: The gunmen also took hostage Lunsmann's 14-year-old son, Kevin, and her 19-year-old Filipino nephew, Romnick Jakaria,

text: The gunmen also took hostage Lunsmann's 14-year-old son, Kevin, and her 19-year-old Filipino nephew, Romnick Jakaria,

question: When was she abducted?

answer: July

text: July

question: where were they abducted from?

answer: Philippines

text: Philippines

question: when was she taken?

answer: July

text: July

question: what island was she released on?

answer: Suba Kampong township

text: Suba Kampong township

question: They paid ransom for the liberation of women?

answer: declined to confirm whether officials

text: declined to confirm whether officials


text:
(Entertainment Weekly) -- After all the anticipation and hubbub, the weekend is coming to an end and the box office results are here: "Watchmen" (No. 1) grossed $55.7 million during its first frame, according to early estimates from Media by Numbers.

"Watchmen" led the weekend box office, grossing $55.7 million during its first weekend.

That's a solid sum, to be sure, although it's certainly on the low end of most projections. "Watchmen" premiered in more theaters (3,611) than any other R-rated movie in history, and it averaged an impressive $15,413 per venue, despite a potentially problematic long running time.

It also scored the biggest debut of 2009 so far. Nonetheless, the movie's $55.7 million take (including $5.5 million from 124 IMAX screens) is substantially smaller than the $70.9 million that 300, the last R-rated graphic-novel movie from director Zack Snyder, earned on its opening weekend two years ago.

And aside from that theater-count statistic (which almost any film could break at any time, really), there will be no major records to report on this weekend (for example, "Watchmen's" debut was just the fifth-best opening ever for an R-rated movie).

I'd argue, in fact, that this opening is a bit soft, considering the great expectations that came with Snyder's adaptation of Alan Moore's landmark comic book -- not to mention "Watchmen's" hefty grosses from screenings at midnight on Friday and throughout its first day. After attracting some major initial interest, banking $25.1 million on Friday, the film's audience dropped off dramatically during the weekend: It grossed $19 million on Saturday and is expected to bring in just $11.5 million on Sunday.

These are all big numbers, don't get me wrong, but, when combined with the fact that the film got a lukewarm CinemaScore grade of B from an audience that was largely comprised of older men, it all points to a rapid downward trend that may be difficult to reverse in the weeks to come.

Elsewhere -- yes, there were other movies playing at the multiplex this weekend! -- a number of films continued to do what "Watchmen" must now aspire to, perhaps in vain: They stayed strong deep into their long runs.

Tyler Perry's "Madea Goes to Jail" (No. 2) grossed $8.8 million on its third weekend; the film, Perry's biggest yet at the box office, has banked $76.5 million to date.

"Taken" (No. 3) also moved along like the unstoppable force it has been for more than a month now, earning $7.5 million and bringing its six-week sum to $118 million.

Best Picture winner "Slumdog Millionaire" (No. 4) was next with $6.9 million, which boosted its domestic haul to $125.4 million. And "Paul Blart: Mall Cop" (No. 5) took its eight-week total to $133.6 million thanks to another $4.2 million gross. iReport.com: What did you think of 'Watchmen'?

Meanwhile, "Jonas Brothers: The 3D Concert Experience" (No. 9) completely fell off the map, dropping a staggering 78 percent to gross just $2.8 million. According to Box Office Mojo, that's the 15th biggest second-weekend decline of all time.

Overall, the cumulative box office was up nearly 8 percent over the same frame a year ago, when 10,000 B.C. opened big, making this the fifth consecutive "up" weekend at the multiplex. So, all in all, I'd say today's was a good report, indeed.

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text: Entertainment

text: Weekly

text: After

text: all

text: the

text: anticipation

text: and

text: hubbub

text: the

text: weekend

text: is

text: coming

text: to

text: an

text: end

text: and

text: the

text: box

text: office

text: results

text: are

text: here

text: Watchmen

text: No

text: grossed

text: million

text: during

text: its

text: first

text: frame

text: according

text: to

text: early

text: estimates

text: from

text: Media

text: by

text: Numbers

text: Watchmen

text: led

text: the

text: weekend

text: box

text: office

text: grossing

text: million

text: during

text: its

text: first

text: weekend

text: That

text: 's

text: a

text: solid

text: sum

text: to

text: be

text: sure

text: although

text: it

text: 's

text: certainly

text: on

text: the

text: low

text: end

text: of

text: most

text: projections

text: Watchmen

text: premiered

text: in

text: more

text: theaters

text: than

text: any

text: other

text: R

text: rated

text: movie

text: in

text: history

text: and

text: it

text: averaged

text: an

text: impressive

text: per

text: venue

text: despite

text: a

text: potentially

text: problematic

text: long

text: running

text: time

text: It

text: also

text: scored

text: the

text: biggest

text: debut

text: of

text: so

text: far

text: Nonetheless

text: the

text: movie

text: 's

text: million

text: take

text: including

text: million

text: from

text: IMAX

text: screens

text: is

text: substantially

text: smaller

text: than

text: the

text: million

text: that

text: the

text: last

text: R

text: rated

text: graphic

text: novel

text: movie

text: from

text: director

text: Zack

text: Snyder

text: earned

text: on

text: its

text: opening

text: weekend

text: two

text: years

text: ago

text: And

text: aside

text: from

text: that

text: theater

text: count

text: statistic

text: which

text: almost

text: any

text: film

text: could

text: break

text: at

text: any

text: time

text: really

text: there

text: will

text: be

text: no

text: major

text: records

text: to

text: report

text: on

text: this

text: weekend

text: for

text: example

text: Watchmen

text: 's

text: debut

text: was

text: just

text: the

text: fifth

text: best

text: opening

text: ever

text: for

text: an

text: R

text: rated

text: movie

text: I

text: 'd

text: argue

text: in

text: fact

text: that

text: this

text: opening

text: is

text: a

text: bit

text: soft

text: considering

text: the

text: great

text: expectations

text: that

text: came

text: with

text: Snyder

text: 's

text: adaptation

text: of

text: Alan

text: Moore

text: 's

text: landmark

text: comic

text: book

text: not

text: to

text: mention

text: Watchmen

text: 's

text: hefty

text: grosses

text: from

text: screenings

text: at

text: midnight

text: on

text: Friday

text: and

text: throughout

text: its

text: first

text: day

text: After

text: attracting

text: some

text: major

text: initial

text: interest

text: banking

text: million

text: on

text: Friday

text: the

text: film

text: 's

text: audience

text: dropped

text: off

text: dramatically

text: during

text: the

text: weekend

text: It

text: grossed

text: million

text: on

text: Saturday

text: and

text: is

text: expected

text: to

text: bring

text: in

text: just

text: million

text: on

text: Sunday

text: These

text: are

text: all

text: big

text: numbers

text: do

text: n't

text: get

text: me

text: wrong

text: but

text: when

text: combined

text: with

text: the

text: fact

text: that

text: the

text: film

text: got

text: a

text: lukewarm

text: CinemaScore

text: grade

text: of

text: B

text: from

text: an

text: audience

text: that

text: was

text: largely

text: comprised

text: of

text: older

text: men

text: it

text: all

text: points

text: to

text: a

text: rapid

text: downward

text: trend

text: that

text: may

text: be

text: difficult

text: to

text: reverse

text: in

text: the

text: weeks

text: to

text: come

text: Elsewhere

text: yes

text: there

text: were

text: other

text: movies

text: playing

text: at

text: the

text: multiplex

text: this

text: weekend

text: a

text: number

text: of

text: films

text: continued

text: to

text: do

text: what

text: Watchmen

text: must

text: now

text: aspire

text: to

text: perhaps

text: in

text: vain

text: They

text: stayed

text: strong

text: deep

text: into

text: their

text: long

text: runs

text: Tyler

text: Perry

text: 's

text: Madea

text: Goes

text: to

text: Jail

text: No

text: grossed

text: million

text: on

text: its

text: third

text: weekend

text: the

text: film

text: Perry

text: 's

text: biggest

text: yet

text: at

text: the

text: box

text: office

text: has

text: banked

text: million

text: to

text: date

text: Taken

text: No

text: also

text: moved

text: along

text: like

text: the

text: unstoppable

text: force

text: it

text: has

text: been

text: for

text: more

text: than

text: a

text: month

text: now

text: earning

text: million

text: and

text: bringing

text: its

text: six

text: week

text: sum

text: to

text: million

text: Best

text: Picture

text: winner

text: Slumdog

text: Millionaire

text: No

text: was

text: next

text: with

text: million

text: which

text: boosted

text: its

text: domestic

text: haul

text: to

text: million

text: And

text: Paul

text: Blart

text: Mall

text: Cop

text: No

text: took

text: its

text: eight

text: week

text: total

text: to

text: million

text: thanks

text: to

text: another

text: million

text: gross

text: iReport.com

text: What

text: did

text: you

text: think

text: of

text: Watchmen

text: Meanwhile

text: Jonas

text: Brothers

text: The

text: Concert

text: Experience

text: No

text: completely

text: fell

text: off

text: the

text: map

text: dropping

text: a

text: staggering

text: percent

text: to

text: gross

text: just

text: million

text: According

text: to

text: Box

text: Office

text: Mojo

text: that

text: 's

text: the

text: biggest

text: second

text: weekend

text: decline

text: of

text: all

text: time

text: Overall

text: the

text: cumulative

text: box

text: office

text: was

text: up

text: nearly

text: percent

text: over

text: the

text: same

text: frame

text: a

text: year

text: ago

text: when

text: B.C.

text: opened

text: big

text: making

text: this

text: the

text: fifth

text: consecutive

text: up

text: weekend

text: at

text: the

text: multiplex

text: So

text: all

text: in

text: all

text: I

text: 'd

text: say

text: today

text: 's

text: was

text: a

text: good

text: report

text: indeed

text: CLICK

text: HERE

text: to

text: Try

text: RISK

text: FREE

text: issues

text: of

text: Entertainment

text: Weekly

question: What was the Best Picture winner?

answer: "Slumdog Millionaire"

text: "Slumdog Millionaire"

question: What was the amount it grossed?

answer: $55.7 million

text: $55.7 million

question: What was the gross for Tyler Perry's "Madea Goes to Jail" (No. 2)?

answer: $8.8 million

text: $8.8 million

question: What premiered in more theaters than any other R-rated movie in history?

answer: "Watchmen"

text: "Watchmen"

question: What was the movie rated?

answer: R-rated

text: R-rated

question: Which slot the "Slumdog Millionaire" take?

answer: (No. 4)

text: (No. 4)

question: What did Madea Goes to Jail gross?

answer: $8.8 million

text: $8.8 million

question: What did Watchmen do?

answer: grossed $55.7 million during its first frame,

text: grossed $55.7 million during its first frame,

question: What was slumdog millionaire?

answer: Best Picture winner "Slumdog Millionaire"

text: Best Picture winner "Slumdog Millionaire"


text:
(CNN) -- A November 1 trial date has been set for Brian David Mitchell, who is suspected in the 2002 kidnapping of Utah teenager Elizabeth Smart, said a spokeswoman for federal prosecutors.

U.S. District Judge Dale Kimball set the trial date at a scheduling conference Friday, said Melodie Rydalch, spokeswoman for the U.S. attorney's office in Utah. Mitchell was not in court that day, she said.

The trial is expected to take two weeks, according to the case file. Mitchell's defense attorneys have apparently indicated they will file a motion asking for a change of venue, as the case file said Kimball set a May 26 deadline for the motion and agreed to hear arguments before July 11.

Mitchell is accused of abducting Smart, then 14, at knifepoint from her bedroom in her family's Salt Lake City, Utah, home in June 2002. Smart was found nine months later, walking down a street in the Salt Lake City suburb of Sandy with Mitchell and his wife, Wanda Eileen Barzee. Mitchell, a drifter and self-described prophet who called himself "Emmanuel," had done some handyman work at the Smarts' home.

Barzee, now 64, pleaded guilty in November to kidnapping and unlawful transportation of a minor. As part of a plea deal with prosecutors, she agreed to cooperate in the state and federal cases against her husband.

Earlier this month, Kimball ruled Mitchell, now 56, is competent to stand trial. State court proceedings against him have been on hold pending the outcome of the federal case.

Smart, now 21, testified in October as part of Mitchell's competency hearing that after kidnapping her, Mitchell took her to a wooded area behind her home and performed a mock marriage ceremony with her before sexually assaulting her. She testified that in the nine months of her captivity, no 24-hour period passed without Mitchell raping her.

Kimball's ruling on Mitchell's competency cannot be appealed until after the case concludes.

Barzee had been housed at the Utah State Hospital while courts determined her competency as well as that of her husband. A state court had ruled she could be forcibly medicated, and that ruling led federal prosecutors to file charges against her.

Last month, Barzee pleaded guilty but mentally ill in state court in the attempted kidnapping of Smart's cousin a month after her kidnapping. In exchange for the plea to one count of conspiracy to commit aggravated kidnapping, state prosecutors dropped charges against Barzee in Smart's abduction.

Federal prosecutors have recommended that Barzee serve a sentence of 15 years, but asked that her sentencing date be continued to allow for her participation in the case against Mitchell. She faces between one and 15 years in prison on the state charge, but prosecutors agreed to allow that sentence to run concurrently with the federal sentence.

text: CNN

text: A

text: November

text: trial

text: date

text: has

text: been

text: set

text: for

text: Brian

text: David

text: Mitchell

text: who

text: is

text: suspected

text: in

text: the

text: kidnapping

text: of

text: Utah

text: teenager

text: Elizabeth

text: Smart

text: said

text: a

text: spokeswoman

text: for

text: federal

text: prosecutors

text: U.S.

text: District

text: Judge

text: Dale

text: Kimball

text: set

text: the

text: trial

text: date

text: at

text: a

text: scheduling

text: conference

text: Friday

text: said

text: Melodie

text: Rydalch

text: spokeswoman

text: for

text: the

text: U.S.

text: attorney

text: 's

text: office

text: in

text: Utah

text: Mitchell

text: was

text: not

text: in

text: court

text: that

text: day

text: she

text: said

text: The

text: trial

text: is

text: expected

text: to

text: take

text: two

text: weeks

text: according

text: to

text: the

text: case

text: file

text: Mitchell

text: 's

text: defense

text: attorneys

text: have

text: apparently

text: indicated

text: they

text: will

text: file

text: a

text: motion

text: asking

text: for

text: a

text: change

text: of

text: venue

text: as

text: the

text: case

text: file

text: said

text: Kimball

text: set

text: a

text: May

text: deadline

text: for

text: the

text: motion

text: and

text: agreed

text: to

text: hear

text: arguments

text: before

text: July

text: Mitchell

text: is

text: accused

text: of

text: abducting

text: Smart

text: then

text: at

text: knifepoint

text: from

text: her

text: bedroom

text: in

text: her

text: family

text: 's

text: Salt

text: Lake

text: City

text: Utah

text: home

text: in

text: June

text: Smart

text: was

text: found

text: nine

text: months

text: later

text: walking

text: down

text: a

text: street

text: in

text: the

text: Salt

text: Lake

text: City

text: suburb

text: of

text: Sandy

text: with

text: Mitchell

text: and

text: his

text: wife

text: Wanda

text: Eileen

text: Barzee

text: Mitchell

text: a

text: drifter

text: and

text: self

text: described

text: prophet

text: who

text: called

text: himself

text: Emmanuel

text: had

text: done

text: some

text: handyman

text: work

text: at

text: the

text: Smarts

text: home

text: Barzee

text: now

text: pleaded

text: guilty

text: in

text: November

text: to

text: kidnapping

text: and

text: unlawful

text: transportation

text: of

text: a

text: minor

text: As

text: part

text: of

text: a

text: plea

text: deal

text: with

text: prosecutors

text: she

text: agreed

text: to

text: cooperate

text: in

text: the

text: state

text: and

text: federal

text: cases

text: against

text: her

text: husband

text: Earlier

text: this

text: month

text: Kimball

text: ruled

text: Mitchell

text: now

text: is

text: competent

text: to

text: stand

text: trial

text: State

text: court

text: proceedings

text: against

text: him

text: have

text: been

text: on

text: hold

text: pending

text: the

text: outcome

text: of

text: the

text: federal

text: case

text: Smart

text: now

text: testified

text: in

text: October

text: as

text: part

text: of

text: Mitchell

text: 's

text: competency

text: hearing

text: that

text: after

text: kidnapping

text: her

text: Mitchell

text: took

text: her

text: to

text: a

text: wooded

text: area

text: behind

text: her

text: home

text: and

text: performed

text: a

text: mock

text: marriage

text: ceremony

text: with

text: her

text: before

text: sexually

text: assaulting

text: her

text: She

text: testified

text: that

text: in

text: the

text: nine

text: months

text: of

text: her

text: captivity

text: no

text: period

text: passed

text: without

text: Mitchell

text: raping

text: her

text: Kimball

text: 's

text: ruling

text: on

text: Mitchell

text: 's

text: competency

text: can

text: not

text: be

text: appealed

text: until

text: after

text: the

text: case

text: concludes

text: Barzee

text: had

text: been

text: housed

text: at

text: the

text: Utah

text: State

text: Hospital

text: while

text: courts

text: determined

text: her

text: competency

text: as

text: well

text: as

text: that

text: of

text: her

text: husband

text: A

text: state

text: court

text: had

text: ruled

text: she

text: could

text: be

text: forcibly

text: medicated

text: and

text: that

text: ruling

text: led

text: federal

text: prosecutors

text: to

text: file

text: charges

text: against

text: her

text: Last

text: month

text: Barzee

text: pleaded

text: guilty

text: but

text: mentally

text: ill

text: in

text: state

text: court

text: in

text: the

text: attempted

text: kidnapping

text: of

text: Smart

text: 's

text: cousin

text: a

text: month

text: after

text: her

text: kidnapping

text: In

text: exchange

text: for

text: the

text: plea

text: to

text: one

text: count

text: of

text: conspiracy

text: to

text: commit

text: aggravated

text: kidnapping

text: state

text: prosecutors

text: dropped

text: charges

text: against

text: Barzee

text: in

text: Smart

text: 's

text: abduction

text: Federal

text: prosecutors

text: have

text: recommended

text: that

text: Barzee

text: serve

text: a

text: sentence

text: of

text: years

text: but

text: asked

text: that

text: her

text: sentencing

text: date

text: be

text: continued

text: to

text: allow

text: for

text: her

text: participation

text: in

text: the

text: case

text: against

text: Mitchell

text: She

text: faces

text: between

text: one

text: and

text: years

text: in

text: prison

text: on

text: the

text: state

text: charge

text: but

text: prosecutors

text: agreed

text: to

text: allow

text: that

text: sentence

text: to

text: run

text: concurrently

text: with

text: the

text: federal

text: sentence

question: when was she found

answer: nine months later,

text: nine months later,

question: Who was charged with kidnapping Elizabeth Smart from her bedroom?

answer: Brian David Mitchell,

text: Brian David Mitchell,

question: what age was smart when she was kidnapped

answer: 14,

question: Who agreed to cooperate against her husband?

answer: Barzee,

text: Barzee,

question: What age was Smart?

answer: 14,

question: who was charged

answer: Brian David Mitchell,

text: Brian David Mitchell,


text:
WASHINGTON (CNN) -- Some experts are skeptical that anything could have stopped Robert Hawkins from going on a murderous rampage at an Omaha, Nebraska, shopping mall on Wednesday.

A police car sits outside the Westroads Mall in Omaha, Nebraska, on Thursday.

"This is not something that anybody can reasonably anticipate," said Don Greene, a former FBI agent who has written a book on mall security.

"If the people closest to him didn't see any indicators or signs that he was going to go off so drastically ... how is some public safety officer supposed to recognize this person?" Greene asked.

In fact, security at Omaha's Westroads Mall did find Hawkins' behavior suspicious before the shooting, Omaha Police Chief Thomas Warren said Thursday.

Mall surveillance initially flagged Hawkins "based on his actions" when he entered the mall through the Von Maur store's main entrance on the second floor, Warren said. He said Hawkins exited quickly after entering, then re-entered within six minutes and appeared to be concealing something in a balled-up sweatshirt.

He then went up the elevator to the third floor, and when he got there, he immediately began firing, Warren said.  "It doesn't appear as though there was an opportunity for intervention," he said.

Shopping malls around the country were expected to review their emergency plans and consider additional security measures in light of Wednesday's shooting, which killed eight.  Watch what experts say about keeping malls safe Â»

"There is always a fear of copycats when something like this happens," said Malachy Kavanaugh, spokesman for the International Council of Shopping Centers. He said malls would be considering whether to close some entrances, bring in additional officers, and make security more visible.

There are 1,200 enclosed malls in the United States and about 50,000 shopping centers. Although some include police substations, most are patrolled by unarmed private mall and store security guards.

Should these private security guards be armed? "Absolutely not," said Greene. Greene said if a security officer were to pull a gun on an armed individual in a mall, it could result in "the gunfight at the 'OK corral,' and then we might have 23 people killed instead of eight."

"These random events are very challenging to prevent and difficult to deal with when they occur. Law enforcement and security prevention measures, no matter how good, cannot forestall a tragedy such as this from happening," said a statement issued Wednesday night by the Simon Property Group, which operates regional and outlet malls across the United States.

"We do not disclose or discuss our enhanced security measures and/or procedures that we have in place or may institute at any given time, some of which are visible to the public, with others intentionally less noticeable," the statement said. "Disclosure of such information could potentially compromise our efforts to provide a safe and secure environment."

Security expert Lou Palumbo told CNN one useful strategy was having trained law enforcement personnel watching people as they enter the mall.

"You start to observe the people coming into the mall area," he said. "To let them in your door and then try to figure out what they're doing, you know, it's not as effective as catching them as they're coming in the door."

The International Council of Shopping Centers has conducted focus groups with shoppers to test how they would react to even tighter "airport style" security measures, including bag checks and magnetometers.

According to Kavanaugh, the results have shown that shoppers would accept the measures only if the national threat advisory system was raised to its highest level, red. Such extreme measures are "in the mall industry playbook ... but it is something no one wants to do," said Kavanaugh.

While some mall owners have increased training of security personnel and have upgraded their emergency systems, many security experts believe more should and can be done. Those experts suggest it's a matter of money. They say until shoppers start staying away, mall owners will not make significant changes.

There are no national standards for security guards, and according to a 2006 study by the Police Foundation, only a few states require background checks, minimum hiring standards, or training.

The study also notes that drills to test security staffs' knowledge of what to do in an emergency, when done at all, "are seldom rigorous, seldom done with first responders, and are usually done without clear standards to measure their success." The report goes on to say that "many malls do not even have plans to limit access to sensitive areas in times of heightened alert."

Since that report was written, the International Council of Shopping Centers, in conjunction with George Washington University, has developed a DVD to train mall security guards. According to Kavanaugh, about 6,000 of the nation's estimated 20,000 mall security guards have participated in the course, including 10 at Westroads Mall, where Wednesday's shootings took place.

The FBI and other federal agencies have reached out to private security firms to share information on best practices. The FBI also sends out alerts regarding possible threats to the private sector -- but warnings of possible terrorist plans are clearly of no help in anticipating an attacker like Hawkins. E-mail to a friend

CNN's Jeanne Meserve, Eliott McLaughlin and Kelli Arena contributed to this report.

text: WASHINGTON

text: CNN

text: Some

text: experts

text: are

text: skeptical

text: that

text: anything

text: could

text: have

text: stopped

text: Robert

text: Hawkins

text: from

text: going

text: on

text: a

text: murderous

text: rampage

text: at

text: an

text: Omaha

text: Nebraska

text: shopping

text: mall

text: on

text: Wednesday

text: A

text: police

text: car

text: sits

text: outside

text: the

text: Westroads

text: Mall

text: in

text: Omaha

text: Nebraska

text: on

text: Thursday

text: This

text: is

text: not

text: something

text: that

text: anybody

text: can

text: reasonably

text: anticipate

text: said

text: Don

text: Greene

text: a

text: former

text: FBI

text: agent

text: who

text: has

text: written

text: a

text: book

text: on

text: mall

text: security

text: If

text: the

text: people

text: closest

text: to

text: him

text: did

text: n't

text: see

text: any

text: indicators

text: or

text: signs

text: that

text: he

text: was

text: going

text: to

text: go

text: off

text: so

text: drastically

text: how

text: is

text: some

text: public

text: safety

text: officer

text: supposed

text: to

text: recognize

text: this

text: person

text: Greene

text: asked

text: In

text: fact

text: security

text: at

text: Omaha

text: 's

text: Westroads

text: Mall

text: did

text: find

text: Hawkins

text: behavior

text: suspicious

text: before

text: the

text: shooting

text: Omaha

text: Police

text: Chief

text: Thomas

text: Warren

text: said

text: Thursday

text: Mall

text: surveillance

text: initially

text: flagged

text: Hawkins

text: based

text: on

text: his

text: actions

text: when

text: he

text: entered

text: the

text: mall

text: through

text: the

text: Von

text: Maur

text: store

text: 's

text: main

text: entrance

text: on

text: the

text: second

text: floor

text: Warren

text: said

text: He

text: said

text: Hawkins

text: exited

text: quickly

text: after

text: entering

text: then

text: re

text: entered

text: within

text: six

text: minutes

text: and

text: appeared

text: to

text: be

text: concealing

text: something

text: in

text: a

text: balled

text: up

text: sweatshirt

text: He

text: then

text: went

text: up

text: the

text: elevator

text: to

text: the

text: third

text: floor

text: and

text: when

text: he

text: got

text: there

text: he

text: immediately

text: began

text: firing

text: Warren

text: said

text: It

text: does

text: n't

text: appear

text: as

text: though

text: there

text: was

text: an

text: opportunity

text: for

text: intervention

text: he

text: said

text: Shopping

text: malls

text: around

text: the

text: country

text: were

text: expected

text: to

text: review

text: their

text: emergency

text: plans

text: and

text: consider

text: additional

text: security

text: measures

text: in

text: light

text: of

text: Wednesday

text: 's

text: shooting

text: which

text: killed

text: eight

text: Watch

text: what

text: experts

text: say

text: about

text: keeping

text: malls

text: safe

text: Â

text: There

text: is

text: always

text: a

text: fear

text: of

text: copycats

text: when

text: something

text: like

text: this

text: happens

text: said

text: Malachy

text: Kavanaugh

text: spokesman

text: for

text: the

text: International

text: Council

text: of

text: Shopping

text: Centers

text: He

text: said

text: malls

text: would

text: be

text: considering

text: whether

text: to

text: close

text: some

text: entrances

text: bring

text: in

text: additional

text: officers

text: and

text: make

text: security

text: more

text: visible

text: There

text: are

text: enclosed

text: malls

text: in

text: the

text: United

text: States

text: and

text: about

text: shopping

text: centers

text: Although

text: some

text: include

text: police

text: substations

text: most

text: are

text: patrolled

text: by

text: unarmed

text: private

text: mall

text: and

text: store

text: security

text: guards

text: Should

text: these

text: private

text: security

text: guards

text: be

text: armed

text: Absolutely

text: not

text: said

text: Greene

text: Greene

text: said

text: if

text: a

text: security

text: officer

text: were

text: to

text: pull

text: a

text: gun

text: on

text: an

text: armed

text: individual

text: in

text: a

text: mall

text: it

text: could

text: result

text: in

text: the

text: gunfight

text: at

text: the

text: OK

text: corral

text: and

text: then

text: we

text: might

text: have

text: people

text: killed

text: instead

text: of

text: eight

text: These

text: random

text: events

text: are

text: very

text: challenging

text: to

text: prevent

text: and

text: difficult

text: to

text: deal

text: with

text: when

text: they

text: occur

text: Law

text: enforcement

text: and

text: security

text: prevention

text: measures

text: no

text: matter

text: how

text: good

text: can

text: not

text: forestall

text: a

text: tragedy

text: such

text: as

text: this

text: from

text: happening

text: said

text: a

text: statement

text: issued

text: Wednesday

text: night

text: by

text: the

text: Simon

text: Property

text: Group

text: which

text: operates

text: regional

text: and

text: outlet

text: malls

text: across

text: the

text: United

text: States

text: We

text: do

text: not

text: disclose

text: or

text: discuss

text: our

text: enhanced

text: security

text: measures

text: and/or

text: procedures

text: that

text: we

text: have

text: in

text: place

text: or

text: may

text: institute

text: at

text: any

text: given

text: time

text: some

text: of

text: which

text: are

text: visible

text: to

text: the

text: public

text: with

text: others

text: intentionally

text: less

text: noticeable

text: the

text: statement

text: said

text: Disclosure

text: of

text: such

text: information

text: could

text: potentially

text: compromise

text: our

text: efforts

text: to

text: provide

text: a

text: safe

text: and

text: secure

text: environment

text: Security

text: expert

text: Lou

text: Palumbo

text: told

text: CNN

text: one

text: useful

text: strategy

text: was

text: having

text: trained

text: law

text: enforcement

text: personnel

text: watching

text: people

text: as

text: they

text: enter

text: the

text: mall

text: You

text: start

text: to

text: observe

text: the

text: people

text: coming

text: into

text: the

text: mall

text: area

text: he

text: said

text: To

text: let

text: them

text: in

text: your

text: door

text: and

text: then

text: try

text: to

text: figure

text: out

text: what

text: they

text: 're

text: doing

text: you

text: know

text: it

text: 's

text: not

text: as

text: effective

text: as

text: catching

text: them

text: as

text: they

text: 're

text: coming

text: in

text: the

text: door

text: The

text: International

text: Council

text: of

text: Shopping

text: Centers

text: has

text: conducted

text: focus

text: groups

text: with

text: shoppers

text: to

text: test

text: how

text: they

text: would

text: react

text: to

text: even

text: tighter

text: airport

text: style

text: security

text: measures

text: including

text: bag

text: checks

text: and

text: magnetometers

text: According

text: to

text: Kavanaugh

text: the

text: results

text: have

text: shown

text: that

text: shoppers

text: would

text: accept

text: the

text: measures

text: only

text: if

text: the

text: national

text: threat

text: advisory

text: system

text: was

text: raised

text: to

text: its

text: highest

text: level

text: red

text: Such

text: extreme

text: measures

text: are

text: in

text: the

text: mall

text: industry

text: playbook

text: but

text: it

text: is

text: something

text: no

text: one

text: wants

text: to

text: do

text: said

text: Kavanaugh

text: While

text: some

text: mall

text: owners

text: have

text: increased

text: training

text: of

text: security

text: personnel

text: and

text: have

text: upgraded

text: their

text: emergency

text: systems

text: many

text: security

text: experts

text: believe

text: more

text: should

text: and

text: can

text: be

text: done

text: Those

text: experts

text: suggest

text: it

text: 's

text: a

text: matter

text: of

text: money

text: They

text: say

text: until

text: shoppers

text: start

text: staying

text: away

text: mall

text: owners

text: will

text: not

text: make

text: significant

text: changes

text: There

text: are

text: no

text: national

text: standards

text: for

text: security

text: guards

text: and

text: according

text: to

text: a

text: study

text: by

text: the

text: Police

text: Foundation

text: only

text: a

text: few

text: states

text: require

text: background

text: checks

text: minimum

text: hiring

text: standards

text: or

text: training

text: The

text: study

text: also

text: notes

text: that

text: drills

text: to

text: test

text: security

text: staffs

text: knowledge

text: of

text: what

text: to

text: do

text: in

text: an

text: emergency

text: when

text: done

text: at

text: all

text: are

text: seldom

text: rigorous

text: seldom

text: done

text: with

text: first

text: responders

text: and

text: are

text: usually

text: done

text: without

text: clear

text: standards

text: to

text: measure

text: their

text: success

text: The

text: report

text: goes

text: on

text: to

text: say

text: that

text: many

text: malls

text: do

text: not

text: even

text: have

text: plans

text: to

text: limit

text: access

text: to

text: sensitive

text: areas

text: in

text: times

text: of

text: heightened

text: alert

text: Since

text: that

text: report

text: was

text: written

text: the

text: International

text: Council

text: of

text: Shopping

text: Centers

text: in

text: conjunction

text: with

text: George

text: Washington

text: University

text: has

text: developed

text: a

text: DVD

text: to

text: train

text: mall

text: security

text: guards

text: According

text: to

text: Kavanaugh

text: about

text: of

text: the

text: nation

text: 's

text: estimated

text: mall

text: security

text: guards

text: have

text: participated

text: in

text: the

text: course

text: including

text: at

text: Westroads

text: Mall

text: where

text: Wednesday

text: 's

text: shootings

text: took

text: place

text: The

text: FBI

text: and

text: other

text: federal

text: agencies

text: have

text: reached

text: out

text: to

text: private

text: security

text: firms

text: to

text: share

text: information

text: on

text: best

text: practices

text: The

text: FBI

text: also

text: sends

text: out

text: alerts

text: regarding

text: possible

text: threats

text: to

text: the

text: private

text: sector

text: but

text: warnings

text: of

text: possible

text: terrorist

text: plans

text: are

text: clearly

text: of

text: no

text: help

text: in

text: anticipating

text: an

text: attacker

text: like

text: Hawkins

text: E

text: mail

text: to

text: a

text: friend

text: CNN

text: 's

text: Jeanne

text: Meserve

text: Eliott

text: McLaughlin

text: and

text: Kelli

text: Arena

text: contributed

text: to

text: this

text: report

question: How many died in mall shooting?

answer: eight.

text: eight.

question: What are malls expected to assess?

answer: their emergency plans

text: their emergency plans

question: How many people did the gunman kill?

answer: eight.

text: eight.

question: What day did the shooting occur?

answer: Wednesday.

text: Wednesday.

question: How many people did the gunman shoot?

answer: eight."

text: eight."

question: What do security experts say abut such incidents?

answer: it's a matter of money.

text: it's a matter of money.

question: What is impossible to anticipate?

answer: murderous rampage

text: murderous rampage

question: Where was the shooting?

answer: Westroads Mall in Omaha, Nebraska,

text: Westroads Mall in Omaha, Nebraska,

question: What are malls expected to do in wake of Wednesday shooting?

answer: review their emergency plans and consider additional security measures

text: review their emergency plans and consider additional security measures

question: What did a gunman and Omaha Nebraska mall do?

answer: murderous rampage

text: murderous rampage


text:
CHICAGO, Illinois (CNN) -- The woman who received the first-ever near-total face transplant in the United States told her doctor she has regained her self-confidence, said Dr. Maria Siemionow, head of plastic surgery research at the Cleveland Clinic and leader of the transplant team.

This illustration represents the transformation of a patient who underwent a near-total face transplant in December.

The patient, who prefers to be anonymous, is finally able to breathe through her nose, smell, eat solid foods and drink out of a cup, Siemionow told participants of the annual meeting of the American Association for the Advancement of Science in Chicago over the weekend.

The complex surgery, a 22-hour procedure, took place in December at the Cleveland Clinic. The patient received her new face in one graft from a donor cadaver.

"I believe this procedure is justified because you need a face to face the world," Siemionow said.  Watch an animation of the face transplant Â»

The patient had previously "suffered severe facial trauma," the Cleveland Clinic said. She had no nose, right eye or upper jaw before the procedure, and could not smell or eat normally. People would call her names on the street, Siemionow said.

The surgery gave the patient a nose with nasal lining, as well as a palate. This, combined with the olfactory receptors in the brain, gave the patient the ability to smell, Siemionow said.

Social reincorporation is as important as the face transplant itself, Siemionow said. At this point, the patient doesn't want to face the "common world," but she is facing her family, the surgeon said.

The patient said she is happy because when she puts her hands on her face, she feels a nose, Siemionow said. She can also taste a hamburger and pizza, and drink coffee from a cup, the "things we take for granted every day," Siemionow said.

The patient also received lower eyelids, upper lip, skin, muscles, bone, hard palate, arteries, veins and nerves.

As for the aesthetics of the new face, Siemionow suggested that restoring function was more important. "At this point, no one is really looking at beautification," she said.

Siemionow, who has been working on face transplant research for 20 years, received approval from the Institutional Review Board in 2004 to conduct a full facial transplant.

Only patients who had already exhausted all possible options for conventional repair were considered for the transplant, Siemionow said.

Currently, cancer patients are not candidates for face transplants because  transplant recipients must take immunosuppression drugs for life so that the body does not reject the donated tissue, Siemionow said. In the future, however, lifelong immunosuppression may not be required, she said.

While burn damage is normally patched with pieces of excess skin from a person's own body, this does not work if the whole face needs to be covered -- the skin of the entire back is less than half of what would be needed to cover the full face and scalp, Siemionow said.

Previously, three facial transplants had been completed -- two in France and one in China. The Chinese recipient, Li Guoxing, died in July of unknown causes, Guo Shuzhong, a doctor involved in the case, confirmed to CNN.

One of the French face transplant recipients was a man who had a genetic disorder that created large tumors on his face. The other French patient had been bitten by a dog. The Chinese patient had been attacked by a bear.

European news media recently reported that a surgeon in Spain received approval for another face transplant, which would be the fifth in the world.

Researchers are also making headway into treatments for disorders that give rise to facial abnormalities, experts say. They are identifying genes that become mutated and cause the skull and facial features to become distorted.

"We're moving into the arena where we can do medical treatment," Dr. Ethylin Jabs, professor of developmental and regenerative biology at Mount Sinai Medical School, said at the conference.

One example is Treacher Collins syndrome, a condition found in one in every 50,000 births, which affects the development of bones and other tissues in the face. Scientists have determined that the gene TCOF1 is involved in the disorder, and research is ongoing into the precise function of this protein.

By looking at the genetic underpinnings of disorders that lead to facial deformities, scientists can also understand what accounts for the normal differences in face and skull types.

"These are going to be some of the genes that cause some of that variation," Jabs said.

text: CHICAGO

text: Illinois

text: CNN

text: The

text: woman

text: who

text: received

text: the

text: first

text: ever

text: near

text: total

text: face

text: transplant

text: in

text: the

text: United

text: States

text: told

text: her

text: doctor

text: she

text: has

text: regained

text: her

text: self

text: confidence

text: said

text: Dr.

text: Maria

text: Siemionow

text: head

text: of

text: plastic

text: surgery

text: research

text: at

text: the

text: Cleveland

text: Clinic

text: and

text: leader

text: of

text: the

text: transplant

text: team

text: This

text: illustration

text: represents

text: the

text: transformation

text: of

text: a

text: patient

text: who

text: underwent

text: a

text: near

text: total

text: face

text: transplant

text: in

text: December

text: The

text: patient

text: who

text: prefers

text: to

text: be

text: anonymous

text: is

text: finally

text: able

text: to

text: breathe

text: through

text: her

text: nose

text: smell

text: eat

text: solid

text: foods

text: and

text: drink

text: out

text: of

text: a

text: cup

text: Siemionow

text: told

text: participants

text: of

text: the

text: annual

text: meeting

text: of

text: the

text: American

text: Association

text: for

text: the

text: Advancement

text: of

text: Science

text: in

text: Chicago

text: over

text: the

text: weekend

text: The

text: complex

text: surgery

text: a

text: procedure

text: took

text: place

text: in

text: December

text: at

text: the

text: Cleveland

text: Clinic

text: The

text: patient

text: received

text: her

text: new

text: face

text: in

text: one

text: graft

text: from

text: a

text: donor

text: cadaver

text: I

text: believe

text: this

text: procedure

text: is

text: justified

text: because

text: you

text: need

text: a

text: face

text: to

text: face

text: the

text: world

text: Siemionow

text: said

text: Watch

text: an

text: animation

text: of

text: the

text: face

text: transplant

text: Â

text: The

text: patient

text: had

text: previously

text: suffered

text: severe

text: facial

text: trauma

text: the

text: Cleveland

text: Clinic

text: said

text: She

text: had

text: no

text: nose

text: right

text: eye

text: or

text: upper

text: jaw

text: before

text: the

text: procedure

text: and

text: could

text: not

text: smell

text: or

text: eat

text: normally

text: People

text: would

text: call

text: her

text: names

text: on

text: the

text: street

text: Siemionow

text: said

text: The

text: surgery

text: gave

text: the

text: patient

text: a

text: nose

text: with

text: nasal

text: lining

text: as

text: well

text: as

text: a

text: palate

text: This

text: combined

text: with

text: the

text: olfactory

text: receptors

text: in

text: the

text: brain

text: gave

text: the

text: patient

text: the

text: ability

text: to

text: smell

text: Siemionow

text: said

text: Social

text: reincorporation

text: is

text: as

text: important

text: as

text: the

text: face

text: transplant

text: itself

text: Siemionow

text: said

text: At

text: this

text: point

text: the

text: patient

text: does

text: n't

text: want

text: to

text: face

text: the

text: common

text: world

text: but

text: she

text: is

text: facing

text: her

text: family

text: the

text: surgeon

text: said

text: The

text: patient

text: said

text: she

text: is

text: happy

text: because

text: when

text: she

text: puts

text: her

text: hands

text: on

text: her

text: face

text: she

text: feels

text: a

text: nose

text: Siemionow

text: said

text: She

text: can

text: also

text: taste

text: a

text: hamburger

text: and

text: pizza

text: and

text: drink

text: coffee

text: from

text: a

text: cup

text: the

text: things

text: we

text: take

text: for

text: granted

text: every

text: day

text: Siemionow

text: said

text: The

text: patient

text: also

text: received

text: lower

text: eyelids

text: upper

text: lip

text: skin

text: muscles

text: bone

text: hard

text: palate

text: arteries

text: veins

text: and

text: nerves

text: As

text: for

text: the

text: aesthetics

text: of

text: the

text: new

text: face

text: Siemionow

text: suggested

text: that

text: restoring

text: function

text: was

text: more

text: important

text: At

text: this

text: point

text: no

text: one

text: is

text: really

text: looking

text: at

text: beautification

text: she

text: said

text: Siemionow

text: who

text: has

text: been

text: working

text: on

text: face

text: transplant

text: research

text: for

text: years

text: received

text: approval

text: from

text: the

text: Institutional

text: Review

text: Board

text: in

text: to

text: conduct

text: a

text: full

text: facial

text: transplant

text: Only

text: patients

text: who

text: had

text: already

text: exhausted

text: all

text: possible

text: options

text: for

text: conventional

text: repair

text: were

text: considered

text: for

text: the

text: transplant

text: Siemionow

text: said

text: Currently

text: cancer

text: patients

text: are

text: not

text: candidates

text: for

text: face

text: transplants

text: because

text: transplant

text: recipients

text: must

text: take

text: immunosuppression

text: drugs

text: for

text: life

text: so

text: that

text: the

text: body

text: does

text: not

text: reject

text: the

text: donated

text: tissue

text: Siemionow

text: said

text: In

text: the

text: future

text: however

text: lifelong

text: immunosuppression

text: may

text: not

text: be

text: required

text: she

text: said

text: While

text: burn

text: damage

text: is

text: normally

text: patched

text: with

text: pieces

text: of

text: excess

text: skin

text: from

text: a

text: person

text: 's

text: own

text: body

text: this

text: does

text: not

text: work

text: if

text: the

text: whole

text: face

text: needs

text: to

text: be

text: covered

text: the

text: skin

text: of

text: the

text: entire

text: back

text: is

text: less

text: than

text: half

text: of

text: what

text: would

text: be

text: needed

text: to

text: cover

text: the

text: full

text: face

text: and

text: scalp

text: Siemionow

text: said

text: Previously

text: three

text: facial

text: transplants

text: had

text: been

text: completed

text: two

text: in

text: France

text: and

text: one

text: in

text: China

text: The

text: Chinese

text: recipient

text: Li

text: Guoxing

text: died

text: in

text: July

text: of

text: unknown

text: causes

text: Guo

text: Shuzhong

text: a

text: doctor

text: involved

text: in

text: the

text: case

text: confirmed

text: to

text: CNN

text: One

text: of

text: the

text: French

text: face

text: transplant

text: recipients

text: was

text: a

text: man

text: who

text: had

text: a

text: genetic

text: disorder

text: that

text: created

text: large

text: tumors

text: on

text: his

text: face

text: The

text: other

text: French

text: patient

text: had

text: been

text: bitten

text: by

text: a

text: dog

text: The

text: Chinese

text: patient

text: had

text: been

text: attacked

text: by

text: a

text: bear

text: European

text: news

text: media

text: recently

text: reported

text: that

text: a

text: surgeon

text: in

text: Spain

text: received

text: approval

text: for

text: another

text: face

text: transplant

text: which

text: would

text: be

text: the

text: fifth

text: in

text: the

text: world

text: Researchers

text: are

text: also

text: making

text: headway

text: into

text: treatments

text: for

text: disorders

text: that

text: give

text: rise

text: to

text: facial

text: abnormalities

text: experts

text: say

text: They

text: are

text: identifying

text: genes

text: that

text: become

text: mutated

text: and

text: cause

text: the

text: skull

text: and

text: facial

text: features

text: to

text: become

text: distorted

text: We

text: 're

text: moving

text: into

text: the

text: arena

text: where

text: we

text: can

text: do

text: medical

text: treatment

text: Dr.

text: Ethylin

text: Jabs

text: professor

text: of

text: developmental

text: and

text: regenerative

text: biology

text: at

text: Mount

text: Sinai

text: Medical

text: School

text: said

text: at

text: the

text: conference

text: One

text: example

text: is

text: Treacher

text: Collins

text: syndrome

text: a

text: condition

text: found

text: in

text: one

text: in

text: every

text: births

text: which

text: affects

text: the

text: development

text: of

text: bones

text: and

text: other

text: tissues

text: in

text: the

text: face

text: Scientists

text: have

text: determined

text: that

text: the

text: gene

text: is

text: involved

text: in

text: the

text: disorder

text: and

text: research

text: is

text: ongoing

text: into

text: the

text: precise

text: function

text: of

text: this

text: protein

text: By

text: looking

text: at

text: the

text: genetic

text: underpinnings

text: of

text: disorders

text: that

text: lead

text: to

text: facial

text: deformities

text: scientists

text: can

text: also

text: understand

text: what

text: accounts

text: for

text: the

text: normal

text: differences

text: in

text: face

text: and

text: skull

text: types

text: These

text: are

text: going

text: to

text: be

text: some

text: of

text: the

text: genes

text: that

text: cause

text: some

text: of

text: that

text: variation

text: Jabs

text: said

question: Where did the new face come from

answer: a donor cadaver.

text: a donor cadaver.

question: What is as important as the face transplant itself?

answer: Social reincorporation

text: Social reincorporation

question: who recivied new face?

answer: woman

text: woman

question: Who can now eat solid foods?

answer: The woman

text: The woman

question: What can face transplant recipient do now

answer: breathe through her nose, smell, eat solid foods and drink out of a cup,

text: breathe through her nose, smell, eat solid foods and drink out of a cup,

question: Who received her new face in one graft from a donor cadaver?

answer: The patient,

text: The patient,


text:
(CNN) -- Kaka underlined his commitment to AC Milan with two goals in a 4-1 Serie A win at Bologna on Sunday when on-loan David Beckham claimed his first goal in Italian football.

Kaka scored twice for AC Milan days after rejecting a world record transfer to Manchester City.

Brazilian star Kaka, playing his first match since the collapse of a  proposed world record transfer to Premier League Manchester City, converted from the penalty spot after 17 minutes and added a spectacular second two minutes before half-time.

Kaka's double took the limelight away from former England captain Beckham who made his mark on the hour as Milan kept up the pressure on top two, city rivals Inter and Turin-based Juventus.

Beckham moved to Milan from Los Angeles Galaxy earlier this month and found the target as coach Carlo Ancelotti marked 400 games in charge of the club.

The former Mancherster United star is clearly enjoying his stay in Italy and there have been suggestions he could extend his stay.

"I can't say what will happen," PA Sport quoted him as saying on Sunday. "Even if my contract says that I'll be here until March. We'll have to see.

"At the moment I'm enjoying this experience. I'm at one of the biggest clubs in the world. And having won gives us confidence to continue."

He added: "It's great to score my first goal -- I will keep this jersey. It's special to play for Milan and also to score, but what's most important is that we won."

Milan coach Carlo Ancelotti was delighted with Beckham's performance, but insists the club can do nothing to keep him at the San Siro.

However, he claims the 33-year-old holds his future in his own hands. "If he said 'we'll see' it means he's thinking about staying," Ancelotti told Sky Italia. "However, our hands are tied as he has a clear contract."

Bologna took the lead through a Marco Di Vaio penalty after nine minutes and Clarence Seedorf equalised after Kaka's effort had been spilled by goalkeeper Francesco Antonioli.

AS Roma closed to within three points of fourth, the final Champions League qualifying position, with a stunning 3-0 win at Napoli.

Centre-backs Philippe Mexes (18) and Juan (32) gave Roma a two-goal lead at the interval and Montenegro forward Mirko Vucinic added the third four minutes into the second half.

Roma are now only three points behind Genoa who were surprisingly held to a 1-1 home draw by Catania who led through a 67th-minute goal from Jorge Martinez. Diego Milito replied six minutes later.

Roma have won eight of their last 10 Serie A matches following an awful start to the season where they won only two and lost six of their first 10 games.

Fabio Simplicio scored twice as Palermo defeated Udinese 3-2 while strugglers Lecce and Torino shared six goals.

text: CNN

text: Kaka

text: underlined

text: his

text: commitment

text: to

text: AC

text: Milan

text: with

text: two

text: goals

text: in

text: a

text: Serie

text: A

text: win

text: at

text: Bologna

text: on

text: Sunday

text: when

text: on

text: loan

text: David

text: Beckham

text: claimed

text: his

text: first

text: goal

text: in

text: Italian

text: football

text: Kaka

text: scored

text: twice

text: for

text: AC

text: Milan

text: days

text: after

text: rejecting

text: a

text: world

text: record

text: transfer

text: to

text: Manchester

text: City

text: Brazilian

text: star

text: Kaka

text: playing

text: his

text: first

text: match

text: since

text: the

text: collapse

text: of

text: a

text: proposed

text: world

text: record

text: transfer

text: to

text: Premier

text: League

text: Manchester

text: City

text: converted

text: from

text: the

text: penalty

text: spot

text: after

text: minutes

text: and

text: added

text: a

text: spectacular

text: second

text: two

text: minutes

text: before

text: half

text: time

text: Kaka

text: 's

text: double

text: took

text: the

text: limelight

text: away

text: from

text: former

text: England

text: captain

text: Beckham

text: who

text: made

text: his

text: mark

text: on

text: the

text: hour

text: as

text: Milan

text: kept

text: up

text: the

text: pressure

text: on

text: top

text: two

text: city

text: rivals

text: Inter

text: and

text: Turin

text: based

text: Juventus

text: Beckham

text: moved

text: to

text: Milan

text: from

text: Los

text: Angeles

text: Galaxy

text: earlier

text: this

text: month

text: and

text: found

text: the

text: target

text: as

text: coach

text: Carlo

text: Ancelotti

text: marked

text: games

text: in

text: charge

text: of

text: the

text: club

text: The

text: former

text: Mancherster

text: United

text: star

text: is

text: clearly

text: enjoying

text: his

text: stay

text: in

text: Italy

text: and

text: there

text: have

text: been

text: suggestions

text: he

text: could

text: extend

text: his

text: stay

text: I

text: ca

text: n't

text: say

text: what

text: will

text: happen

text: PA

text: Sport

text: quoted

text: him

text: as

text: saying

text: on

text: Sunday

text: Even

text: if

text: my

text: contract

text: says

text: that

text: I

text: 'll

text: be

text: here

text: until

text: March

text: We

text: 'll

text: have

text: to

text: see

text: At

text: the

text: moment

text: I

text: 'm

text: enjoying

text: this

text: experience

text: I

text: 'm

text: at

text: one

text: of

text: the

text: biggest

text: clubs

text: in

text: the

text: world

text: And

text: having

text: won

text: gives

text: us

text: confidence

text: to

text: continue

text: He

text: added

text: It

text: 's

text: great

text: to

text: score

text: my

text: first

text: goal

text: I

text: will

text: keep

text: this

text: jersey

text: It

text: 's

text: special

text: to

text: play

text: for

text: Milan

text: and

text: also

text: to

text: score

text: but

text: what

text: 's

text: most

text: important

text: is

text: that

text: we

text: won

text: Milan

text: coach

text: Carlo

text: Ancelotti

text: was

text: delighted

text: with

text: Beckham

text: 's

text: performance

text: but

text: insists

text: the

text: club

text: can

text: do

text: nothing

text: to

text: keep

text: him

text: at

text: the

text: San

text: Siro

text: However

text: he

text: claims

text: the

text: old

text: holds

text: his

text: future

text: in

text: his

text: own

text: hands

text: If

text: he

text: said

text: we

text: 'll

text: see

text: it

text: means

text: he

text: 's

text: thinking

text: about

text: staying

text: Ancelotti

text: told

text: Sky

text: Italia

text: However

text: our

text: hands

text: are

text: tied

text: as

text: he

text: has

text: a

text: clear

text: contract

text: Bologna

text: took

text: the

text: lead

text: through

text: a

text: Marco

text: Di

text: Vaio

text: penalty

text: after

text: nine

text: minutes

text: and

text: Clarence

text: Seedorf

text: equalised

text: after

text: Kaka

text: 's

text: effort

text: had

text: been

text: spilled

text: by

text: goalkeeper

text: Francesco

text: Antonioli

text: AS

text: Roma

text: closed

text: to

text: within

text: three

text: points

text: of

text: fourth

text: the

text: final

text: Champions

text: League

text: qualifying

text: position

text: with

text: a

text: stunning

text: win

text: at

text: Napoli

text: Centre

text: backs

text: Philippe

text: Mexes

text: and

text: Juan

text: gave

text: Roma

text: a

text: two

text: goal

text: lead

text: at

text: the

text: interval

text: and

text: Montenegro

text: forward

text: Mirko

text: Vucinic

text: added

text: the

text: third

text: four

text: minutes

text: into

text: the

text: second

text: half

text: Roma

text: are

text: now

text: only

text: three

text: points

text: behind

text: Genoa

text: who

text: were

text: surprisingly

text: held

text: to

text: a

text: home

text: draw

text: by

text: Catania

text: who

text: led

text: through

text: a

text: minute

text: goal

text: from

text: Jorge

text: Martinez

text: Diego

text: Milito

text: replied

text: six

text: minutes

text: later

text: Roma

text: have

text: won

text: eight

text: of

text: their

text: last

text: Serie

text: A

text: matches

text: following

text: an

text: awful

text: start

text: to

text: the

text: season

text: where

text: they

text: won

text: only

text: two

text: and

text: lost

text: six

text: of

text: their

text: first

text: games

text: Fabio

text: Simplicio

text: scored

text: twice

text: as

text: Palermo

text: defeated

text: Udinese

text: while

text: strugglers

text: Lecce

text: and

text: Torino

text: shared

text: six

text: goals

question: Who scored twice in serie a?

answer: Kaka

text: Kaka

question: Who scored twice?

answer: Kaka

text: Kaka

question: Who hits first goal?

answer: David Beckham

text: David Beckham

question: What did beckham do this week?

answer: claimed his first goal in Italian football.

text: claimed his first goal in Italian football.

question: When did the goals come?

answer: Sunday

text: Sunday

question: Who is the Brazil star?

answer: Kaka,

text: Kaka,