text:
(CNN) -- Hundreds of people filled a college auditorium Wednesday to pay their last respects to an El Reno, Oklahoma, woman slain along with her four children last week.

Summer Rust's children -- clockwise from top, Autumn, Kirsten, Evynn and Teagin -- carve pumpkins.

About 300 people attended the service at Redlands Community College for Summer Rust, 25; her son, Teagin, 4; and daughters Evynn, 3, and Autumn and Kirsten, both 7, CNN affiliate KOCO reported.

Rust's white coffin was placed in front of the podium, flanked by the smaller caskets carrying her children.

Each casket had a picture of the victim, surrounded by flowers. A slide show of the family played on an overhead screen throughout the service.

"I've preached a lot of funerals, but none like this one," said the Rev. Gerald Van Horn.

"This has been on my heart ever since I heard about it. I first learned of it from the news, and I said, 'In El Reno? No way.' ... We don't have to deal with tragedy very often, but it has come, and the reality of it has sunk in. Searching my heart on what to say, I have found it difficult."

He told mourners that God is near and feels their pain but acknowledged that Rust and her children "will be greatly missed."

The bodies were found January 12 in Rust's apartment in El Reno, about 30 miles west of Oklahoma City.

According to the document, each of the victims was suffocated and strangled. Crime scene investigators said each body had ligature marks around the neck.

Rust's boyfriend, Joshua Steven Durcho, 25, admitted choking her to death but said the children were not there at the time, according to an affidavit filed last week.

He was arrested in Hamilton County, Texas, officials said. A spokeswoman at the Canadian County, Oklahoma, Sheriff's Office said Durcho was being held in the county jail after waiving extradition.

Durcho's cousin found Rust's body and called officers, who found the children's bodies in the apartment, says an affidavit written by a special agent with the Oklahoma State Bureau of Investigation.

An apparent acquaintance of Durcho's told police he came to her apartment Monday afternoon and told her he had "choked" Summer Rust to death and he was leaving Oklahoma, according to the affidavit.

The affidavit says Durcho told the woman "that the children were at their grandmother's residence ... while he and Summer worked out their relationship problems."

Rust's mother, Susan Rust of Carson City, Nevada, said Durcho was unemployed and had been living with Rust and her children.

Authorities in Texas said Durcho was arrested after a state trooper attempted to stop his car because the trooper suspected that the driver was drunk. When the trooper ran the license plate on the car, it matched the tag number of a vehicle sought by Oklahoma police.

text: CNN

text: Hundreds

text: of

text: people

text: filled

text: a

text: college

text: auditorium

text: Wednesday

text: to

text: pay

text: their

text: last

text: respects

text: to

text: an

text: El

text: Reno

text: Oklahoma

text: woman

text: slain

text: along

text: with

text: her

text: four

text: children

text: last

text: week

text: Summer

text: Rust

text: 's

text: children

text: clockwise

text: from

text: top

text: Autumn

text: Kirsten

text: Evynn

text: and

text: Teagin

text: carve

text: pumpkins

text: About

text: people

text: attended

text: the

text: service

text: at

text: Redlands

text: Community

text: College

text: for

text: Summer

text: Rust

text: her

text: son

text: Teagin

text: and

text: daughters

text: Evynn

text: and

text: Autumn

text: and

text: Kirsten

text: both

text: CNN

text: affiliate

text: KOCO

text: reported

text: Rust

text: 's

text: white

text: coffin

text: was

text: placed

text: in

text: front

text: of

text: the

text: podium

text: flanked

text: by

text: the

text: smaller

text: caskets

text: carrying

text: her

text: children

text: Each

text: casket

text: had

text: a

text: picture

text: of

text: the

text: victim

text: surrounded

text: by

text: flowers

text: A

text: slide

text: show

text: of

text: the

text: family

text: played

text: on

text: an

text: overhead

text: screen

text: throughout

text: the

text: service

text: I

text: 've

text: preached

text: a

text: lot

text: of

text: funerals

text: but

text: like

text: this

text: one

text: said

text: the

text: Rev.

text: Gerald

text: Van

text: Horn

text: This

text: has

text: been

text: on

text: my

text: heart

text: ever

text: since

text: I

text: heard

text: about

text: it

text: I

text: first

text: learned

text: of

text: it

text: from

text: the

text: news

text: and

text: I

text: said

text: In

text: El

text: Reno

text: No

text: way

text: We

text: do

text: n't

text: have

text: to

text: deal

text: with

text: tragedy

text: very

text: often

text: but

text: it

text: has

text: come

text: and

text: the

text: reality

text: of

text: it

text: has

text: sunk

text: in

text: Searching

text: my

text: heart

text: on

text: what

text: to

text: say

text: I

text: have

text: found

text: it

text: difficult

text: He

text: told

text: mourners

text: that

text: God

text: is

text: near

text: and

text: feels

text: their

text: pain

text: but

text: acknowledged

text: that

text: Rust

text: and

text: her

text: children

text: will

text: be

text: greatly

text: missed

text: The

text: bodies

text: were

text: found

text: January

text: in

text: Rust

text: 's

text: apartment

text: in

text: El

text: Reno

text: about

text: miles

text: west

text: of

text: Oklahoma

text: City

text: According

text: to

text: the

text: document

text: each

text: of

text: the

text: victims

text: was

text: suffocated

text: and

text: strangled

text: Crime

text: scene

text: investigators

text: said

text: each

text: body

text: had

text: ligature

text: marks

text: around

text: the

text: neck

text: Rust

text: 's

text: boyfriend

text: Joshua

text: Steven

text: Durcho

text: admitted

text: choking

text: her

text: to

text: death

text: but

text: said

text: the

text: children

text: were

text: not

text: there

text: at

text: the

text: time

text: according

text: to

text: an

text: affidavit

text: filed

text: last

text: week

text: He

text: was

text: arrested

text: in

text: Hamilton

text: County

text: Texas

text: officials

text: said

text: A

text: spokeswoman

text: at

text: the

text: Canadian

text: County

text: Oklahoma

text: Sheriff

text: 's

text: Office

text: said

text: Durcho

text: was

text: being

text: held

text: in

text: the

text: county

text: jail

text: after

text: waiving

text: extradition

text: Durcho

text: 's

text: cousin

text: found

text: Rust

text: 's

text: body

text: and

text: called

text: officers

text: who

text: found

text: the

text: children

text: 's

text: bodies

text: in

text: the

text: apartment

text: says

text: an

text: affidavit

text: written

text: by

text: a

text: special

text: agent

text: with

text: the

text: Oklahoma

text: State

text: Bureau

text: of

text: Investigation

text: An

text: apparent

text: acquaintance

text: of

text: Durcho

text: 's

text: told

text: police

text: he

text: came

text: to

text: her

text: apartment

text: Monday

text: afternoon

text: and

text: told

text: her

text: he

text: had

text: choked

text: Summer

text: Rust

text: to

text: death

text: and

text: he

text: was

text: leaving

text: Oklahoma

text: according

text: to

text: the

text: affidavit

text: The

text: affidavit

text: says

text: Durcho

text: told

text: the

text: woman

text: that

text: the

text: children

text: were

text: at

text: their

text: grandmother

text: 's

text: residence

text: while

text: he

text: and

text: Summer

text: worked

text: out

text: their

text: relationship

text: problems

text: Rust

text: 's

text: mother

text: Susan

text: Rust

text: of

text: Carson

text: City

text: Nevada

text: said

text: Durcho

text: was

text: unemployed

text: and

text: had

text: been

text: living

text: with

text: Rust

text: and

text: her

text: children

text: Authorities

text: in

text: Texas

text: said

text: Durcho

text: was

text: arrested

text: after

text: a

text: state

text: trooper

text: attempted

text: to

text: stop

text: his

text: car

text: because

text: the

text: trooper

text: suspected

text: that

text: the

text: driver

text: was

text: drunk

text: When

text: the

text: trooper

text: ran

text: the

text: license

text: plate

text: on

text: the

text: car

text: it

text: matched

text: the

text: tag

text: number

text: of

text: a

text: vehicle

text: sought

text: by

text: Oklahoma

text: police

question: Who killed these people?

answer: Joshua Steven Durcho,

text: Joshua Steven Durcho,

question: Where were the bodies found?

answer: in Rust's apartment in El Reno,

text: in Rust's apartment in El Reno,

question: How many attended service at RCC?

answer: About 300 people

text: About 300 people

question: Where was the funeral held?

answer: Redlands Community College

text: Redlands Community College

question: What about the funeral did the preacher find difficult?

answer: to say,

text: to say,

question: How many bodies was found in apartment in El Reno?

answer: four children

text: four children

question: How many mourners attended the service at Redlands Community College?

answer: About 300

text: About 300

question: When were the bodies found the apartment in El Reno, California?

answer: January 12

text: January 12


text:
MEXICO CITY, Mexico (CNN)  -- In response to a spate of attacks allegedly by a drug cartel, Mexico more than tripled the number of federal police officers patrolling the state of Michoacan, a government spokeswoman said.

Drug violence is up in Michoacan state, shown by recent attacks on police in at least a half-dozen cities.

The government on Thursday dispatched 1,000 federal police officers to Michoacan state in southwest Mexico, increasing its presence to 1,300 total, Public Safety spokeswoman Veronica Penunuri told CNN.

At least 18 federal agents and two soldiers have been killed since the weekend in Michoacan, the home state of President Felipe Calderon.

The sudden spike in violence followed the arrest Saturday of Arnoldo Rueda Medina, whom authorities described as a high-ranking member of the drug cartel known as La Familia Michoacana.

Cartel members first attacked the federal police station in Morelia to try to gain freedom for Rueda, authorities said.

When that failed, drug gangs attacked federal police installations in at least a half-dozen Michoacan cities, according to authorities.

The Michoacan cartel also is accused in the slaying of 12 federal police officers whose bodies were found Tuesday on a remote highway.

Video from the scene showed three signs, known as narcomensajes, left by the killers. They all stated the same thing: "So that you come for another. We will be waiting for you here."

Since Calderon went after the drug cartels shortly after coming into office in 2006, more than 10,000 people have died across Mexico, about 1,000 of them police.

The state of Michoacan, on Mexico's southwest Pacific coast, is not alone in the wave of violence sweeping the country.

The border city of Ciudad Juarez set a record this weekend when its toll of drug-related deaths for the year topped 1,000, a distinction the Mexican city did not reach last year until September.

text: MEXICO

text: CITY

text: Mexico

text: CNN

text: In

text: response

text: to

text: a

text: spate

text: of

text: attacks

text: allegedly

text: by

text: a

text: drug

text: cartel

text: Mexico

text: more

text: than

text: tripled

text: the

text: number

text: of

text: federal

text: police

text: officers

text: patrolling

text: the

text: state

text: of

text: Michoacan

text: a

text: government

text: spokeswoman

text: said

text: Drug

text: violence

text: is

text: up

text: in

text: Michoacan

text: state

text: shown

text: by

text: recent

text: attacks

text: on

text: police

text: in

text: at

text: least

text: a

text: half

text: dozen

text: cities

text: The

text: government

text: on

text: Thursday

text: dispatched

text: federal

text: police

text: officers

text: to

text: Michoacan

text: state

text: in

text: southwest

text: Mexico

text: increasing

text: its

text: presence

text: to

text: total

text: Public

text: Safety

text: spokeswoman

text: Veronica

text: Penunuri

text: told

text: CNN

text: At

text: least

text: federal

text: agents

text: and

text: two

text: soldiers

text: have

text: been

text: killed

text: since

text: the

text: weekend

text: in

text: Michoacan

text: the

text: home

text: state

text: of

text: President

text: Felipe

text: Calderon

text: The

text: sudden

text: spike

text: in

text: violence

text: followed

text: the

text: arrest

text: Saturday

text: of

text: Arnoldo

text: Rueda

text: Medina

text: whom

text: authorities

text: described

text: as

text: a

text: high

text: ranking

text: member

text: of

text: the

text: drug

text: cartel

text: known

text: as

text: La

text: Familia

text: Michoacana

text: Cartel

text: members

text: first

text: attacked

text: the

text: federal

text: police

text: station

text: in

text: Morelia

text: to

text: try

text: to

text: gain

text: freedom

text: for

text: Rueda

text: authorities

text: said

text: When

text: that

text: failed

text: drug

text: gangs

text: attacked

text: federal

text: police

text: installations

text: in

text: at

text: least

text: a

text: half

text: dozen

text: Michoacan

text: cities

text: according

text: to

text: authorities

text: The

text: Michoacan

text: cartel

text: also

text: is

text: accused

text: in

text: the

text: slaying

text: of

text: federal

text: police

text: officers

text: whose

text: bodies

text: were

text: found

text: Tuesday

text: on

text: a

text: remote

text: highway

text: Video

text: from

text: the

text: scene

text: showed

text: three

text: signs

text: known

text: as

text: narcomensajes

text: left

text: by

text: the

text: killers

text: They

text: all

text: stated

text: the

text: same

text: thing

text: So

text: that

text: you

text: come

text: for

text: another

text: We

text: will

text: be

text: waiting

text: for

text: you

text: here

text: Since

text: Calderon

text: went

text: after

text: the

text: drug

text: cartels

text: shortly

text: after

text: coming

text: into

text: office

text: in

text: more

text: than

text: people

text: have

text: died

text: across

text: Mexico

text: about

text: of

text: them

text: police

text: The

text: state

text: of

text: Michoacan

text: on

text: Mexico

text: 's

text: southwest

text: Pacific

text: coast

text: is

text: not

text: alone

text: in

text: the

text: wave

text: of

text: violence

text: sweeping

text: the

text: country

text: The

text: border

text: city

text: of

text: Ciudad

text: Juarez

text: set

text: a

text: record

text: this

text: weekend

text: when

text: its

text: toll

text: of

text: drug

text: related

text: deaths

text: for

text: the

text: year

text: topped

text: a

text: distinction

text: the

text: Mexican

text: city

text: did

text: not

text: reach

text: last

text: year

text: until

text: September

question: What did Mexican government respond to?

answer: a spate of attacks allegedly by a drug cartel,

text: a spate of attacks allegedly by a drug cartel,

question: How many federal police officers were slayed?

answer: 18

question: Where were the deadly attacks?

answer: Michoacan state,

text: Michoacan state,

question: Who is accused in the slayings of 12 federal police officers?

answer: The Michoacan cartel

text: The Michoacan cartel

question: who is accused?

answer: The Michoacan cartel

text: The Michoacan cartel

question: how many police officers were there?

answer: 1,300 total,

text: 1,300 total,

question: where was deadly attacks happen?

answer: Michoacan state,

text: Michoacan state,

question: What caused a sudden spike in violence?

answer: arrest Saturday of Arnoldo Rueda Medina,

text: arrest Saturday of Arnoldo Rueda Medina,

question: What caused the sudden spike of violence?

answer: the arrest Saturday of Arnoldo Rueda Medina, whom authorities described as a high-ranking member of the drug cartel known as La Familia Michoacana.

text: the arrest Saturday of Arnoldo Rueda Medina, whom authorities described as a high-ranking member of the drug cartel known as La Familia Michoacana.


text:
Madison, Wisconsin (CNN) -- Republicans retained four of the six state Senate seats that were in jeopardy in Tuesday's recall elections in Wisconsin, news media in the state reported.

Democrats won two seats but needed three to take control.

The Wisconsin Government Accountability Board, which certifies election results, said official results will begin to come in Thursday and will be certified that day at the earliest. The unofficial results released Wednesday were collected by The Associated Press and distributed to newspapers, television and radio stations.

The recall election stems from the bitter battle last winter that saw pro-union protesters camping out in the state Capitol and Democratic senators fleeing the state in an unsuccessful attempt to halt legislation by Wisconsin Gov. Scott Walker that some felt was anti-union.

Democrats were angling to win GOP-held seats to capture control of the upper chamber. Before the election, Republicans held a 19-14 majority in the state Senate. With a victory, Democrats had hoped to build momentum for a planned effort to recall Walker.

Walker, who was elected in November with strong support from tea party activists, can't be recalled until after he serves a year in office.

Republicans have countered with their own recall attempts against three Democrats.  One of them survived a challenge in July, while two others will be on the ballot next week.

Republican National Committee Chairman Reince Priebus applauded the results of the Tuesday vote.

"Today, Wisconsin voters rejected the reckless spending of Wisconsin Democrats and the downgrade-inducing policies of their Washington counterparts. They have given their seal of approval to Republicans' successful efforts to balance the budget and ensure a healthy economy,"  he said.

Priebus also said the vote was an affirmation of Walker's policies.

Walker set off a firestorm in January when he moved to curtail the collective bargaining rights of most state employees. With majorities in both houses of the Legislature, Walker and his GOP allies voted to limit raises for public employees except police and firefighters to the rate of inflation, bar unions from deducting dues from workers' paychecks and force them to hold a new certification vote every year.

Republicans insisted that the legislation was necessary to control skyrocketing public employee benefit costs and close a budget shortfall, while Democrats called it an attempt to gut public-sector labor unions, one of their core constituencies. The state Supreme Court upheld the legislation in June.

While Democrats would not have been able to roll back the union restrictions with control of only one chamber of the Legislature, they would have been able to block any of Walker's other initiatives.

Tea Party Express chief strategist Sal Russo said he was pleased about the vote.

"The importance of those achievements cannot be overstated," Russo said. "Wisconsin has set an example that the nation as a whole should follow."

CNN's Ted Rowlands, Gabriella Schwarz, Paul Steinhauser and Ashley Killough contributed to this report.

text: Madison

text: Wisconsin

text: CNN

text: Republicans

text: retained

text: four

text: of

text: the

text: six

text: state

text: Senate

text: seats

text: that

text: were

text: in

text: jeopardy

text: in

text: Tuesday

text: 's

text: recall

text: elections

text: in

text: Wisconsin

text: news

text: media

text: in

text: the

text: state

text: reported

text: Democrats

text: won

text: two

text: seats

text: but

text: needed

text: three

text: to

text: take

text: control

text: The

text: Wisconsin

text: Government

text: Accountability

text: Board

text: which

text: certifies

text: election

text: results

text: said

text: official

text: results

text: will

text: begin

text: to

text: come

text: in

text: Thursday

text: and

text: will

text: be

text: certified

text: that

text: day

text: at

text: the

text: earliest

text: The

text: unofficial

text: results

text: released

text: Wednesday

text: were

text: collected

text: by

text: The

text: Associated

text: Press

text: and

text: distributed

text: to

text: newspapers

text: television

text: and

text: radio

text: stations

text: The

text: recall

text: election

text: stems

text: from

text: the

text: bitter

text: battle

text: last

text: winter

text: that

text: saw

text: pro

text: union

text: protesters

text: camping

text: out

text: in

text: the

text: state

text: Capitol

text: and

text: Democratic

text: senators

text: fleeing

text: the

text: state

text: in

text: an

text: unsuccessful

text: attempt

text: to

text: halt

text: legislation

text: by

text: Wisconsin

text: Gov.

text: Scott

text: Walker

text: that

text: some

text: felt

text: was

text: anti

text: union

text: Democrats

text: were

text: angling

text: to

text: win

text: GOP

text: held

text: seats

text: to

text: capture

text: control

text: of

text: the

text: upper

text: chamber

text: Before

text: the

text: election

text: Republicans

text: held

text: a

text: majority

text: in

text: the

text: state

text: Senate

text: With

text: a

text: victory

text: Democrats

text: had

text: hoped

text: to

text: build

text: momentum

text: for

text: a

text: planned

text: effort

text: to

text: recall

text: Walker

text: Walker

text: who

text: was

text: elected

text: in

text: November

text: with

text: strong

text: support

text: from

text: tea

text: party

text: activists

text: ca

text: n't

text: be

text: recalled

text: until

text: after

text: he

text: serves

text: a

text: year

text: in

text: office

text: Republicans

text: have

text: countered

text: with

text: their

text: own

text: recall

text: attempts

text: against

text: three

text: Democrats

text: One

text: of

text: them

text: survived

text: a

text: challenge

text: in

text: July

text: while

text: two

text: others

text: will

text: be

text: on

text: the

text: ballot

text: next

text: week

text: Republican

text: National

text: Committee

text: Chairman

text: Reince

text: Priebus

text: applauded

text: the

text: results

text: of

text: the

text: Tuesday

text: vote

text: Today

text: Wisconsin

text: voters

text: rejected

text: the

text: reckless

text: spending

text: of

text: Wisconsin

text: Democrats

text: and

text: the

text: downgrade

text: inducing

text: policies

text: of

text: their

text: Washington

text: counterparts

text: They

text: have

text: given

text: their

text: seal

text: of

text: approval

text: to

text: Republicans

text: successful

text: efforts

text: to

text: balance

text: the

text: budget

text: and

text: ensure

text: a

text: healthy

text: economy

text: he

text: said

text: Priebus

text: also

text: said

text: the

text: vote

text: was

text: an

text: affirmation

text: of

text: Walker

text: 's

text: policies

text: Walker

text: set

text: off

text: a

text: firestorm

text: in

text: January

text: when

text: he

text: moved

text: to

text: curtail

text: the

text: collective

text: bargaining

text: rights

text: of

text: most

text: state

text: employees

text: With

text: majorities

text: in

text: both

text: houses

text: of

text: the

text: Legislature

text: Walker

text: and

text: his

text: GOP

text: allies

text: voted

text: to

text: limit

text: raises

text: for

text: public

text: employees

text: except

text: police

text: and

text: firefighters

text: to

text: the

text: rate

text: of

text: inflation

text: bar

text: unions

text: from

text: deducting

text: dues

text: from

text: workers

text: paychecks

text: and

text: force

text: them

text: to

text: hold

text: a

text: new

text: certification

text: vote

text: every

text: year

text: Republicans

text: insisted

text: that

text: the

text: legislation

text: was

text: necessary

text: to

text: control

text: skyrocketing

text: public

text: employee

text: benefit

text: costs

text: and

text: close

text: a

text: budget

text: shortfall

text: while

text: Democrats

text: called

text: it

text: an

text: attempt

text: to

text: gut

text: public

text: sector

text: labor

text: unions

text: one

text: of

text: their

text: core

text: constituencies

text: The

text: state

text: Supreme

text: Court

text: upheld

text: the

text: legislation

text: in

text: June

text: While

text: Democrats

text: would

text: not

text: have

text: been

text: able

text: to

text: roll

text: back

text: the

text: union

text: restrictions

text: with

text: control

text: of

text: only

text: one

text: chamber

text: of

text: the

text: Legislature

text: they

text: would

text: have

text: been

text: able

text: to

text: block

text: any

text: of

text: Walker

text: 's

text: other

text: initiatives

text: Tea

text: Party

text: Express

text: chief

text: strategist

text: Sal

text: Russo

text: said

text: he

text: was

text: pleased

text: about

text: the

text: vote

text: The

text: importance

text: of

text: those

text: achievements

text: can

text: not

text: be

text: overstated

text: Russo

text: said

text: Wisconsin

text: has

text: set

text: an

text: example

text: that

text: the

text: nation

text: as

text: a

text: whole

text: should

text: follow

text: CNN

text: 's

text: Ted

text: Rowlands

text: Gabriella

text: Schwarz

text: Paul

text: Steinhauser

text: and

text: Ashley

text: Killough

text: contributed

text: to

text: this

text: report

question: What can't be overstated

answer: importance of those achievements

text: importance of those achievements

question: What is an affirmation

answer: the vote

text: the vote

question: Whose policies does the vote affirm

answer: Walker's

text: Walker's

question: What did Tea Party Express member's say?

answer: pleased about the vote.

text: pleased about the vote.

question: What reason were there for recalls

answer: stems from the bitter battle last winter that saw pro-union protesters camping out in the state Capitol and Democratic senators fleeing the state in an unsuccessful attempt to halt legislation by Wisconsin Gov. Scott Walker that some felt was anti-union.

text: stems from the bitter battle last winter that saw pro-union protesters camping out in the state Capitol and Democratic senators fleeing the state in an unsuccessful attempt to halt legislation by Wisconsin Gov. Scott Walker that some felt was anti-union.

question: How many  Republican senators  faced recall votes on Tuesday?

answer: six

text: six

question: How many senators faced a recall

answer: six

text: six


text:
LONDON, England (CNN) -- Pregnant women in Peru are dying at scandalous rates, according to the author of an Amnesty International report into maternal mortality in the South American country.

The report, "Fatal Flaws: Barriers to Maternal Health in Peru" found that hundreds of poor, rural and indigenous pregnant women are dying because they are being denied the same health services as other women in the country.

It also concluded that the government's response to tackling the problem was inadequate.

Peruvian government figures state 185 in every 100,000 women die in childbirth, but the United Nations says the number is much higher, 240 per 100,000, which makes it one of the highest rates of maternal mortality in the Americas.

In wealthy developed nations, only nine women die for every 100,000 births.

The five main causes of pregnancy-related deaths in Peru are hemorrhage, pre-eclampsia, infection, complications following abortion and obstructed birth, according to Peru's Ministry of Health figures.

Amnesty's Peru researcher Nuria Garcia said, in a written statement: "The rates of maternal mortality in Peru are scandalous. The fact that so many women are dying from preventable causes is a human rights violation.

"The Peruvian state is simply ignoring its obligation to provide adequate maternal health care to all women, regardless of who they are and where they live."

Garcia added: "Health services for pregnant women in Peru are like a lottery: If you are poor and indigenous, the chances are you will always lose."

The report said pregnant women in Peru die because they lack access to emergency obstetric care, to information on maternal health, and to health staff members who can speak Indigenous languages such as Quechua -- a native Andean language spoken by some 5 million people in Peru.

According to the report, 27 percent of deaths of women from pregnancy-related causes occurred during pregnancy; 26 percent occurred during the birth itself; and 46 percent during the first six weeks after giving birth.

A 2007 Census of Indigenous People showed that 60 percent did not have access to a health facility, said Amnesty International.

The Amnesty International report notes that the Peruvian government has instituted policies aimed at reducing the rates of maternal mortality, such as increasing maternal waiting houses -- rooms where pregnant women who live far from health centers can stay. Other measures include more training for health staff members on the vertical birth method common among indigenous women and teaching the Quiche language to health professionals, Amnesty International said.

But the human rights group said Peruvian women and health professionals have complained that the measures are not being implemented effectively. For example, the rights group said, even though the number of waiting houses has increased more than threefold in the past eight years, only half of them are in rural areas.

The agency also contends that training for health professionals on the vertical birth method is not sufficiently widespread. According to Peru's Human Rights ombudsperson, more than 45 percent of health staff last year said they had not received appropriate training, Amnesty International said.

"Official initiatives to reduce maternal mortality are good news," Garcia said. "However, lack of clear responsibilities for implementing them and the absence of effective resourcing and monitoring puts any initiative in great jeopardy."

Though Peru's rate of maternal deaths is high, it pales in comparison to sub-Saharan Africa, which has about 900 deaths for each 100,000 births, the United Nations says. For Africa as a whole, the number is 820. The highest rates were in Sierra Leone, with 2,000, and Afghanistan, with 1,900.

Latin America and the Caribbean average 130 deaths per 100,000 births, the United Nations says, with the lowest rates in Chile, Costa Rica and Cuba.

Worldwide, there were an average of 400 deaths for each 100,000 births in the year 2000, the United Nations says. The lowest rates were in Iceland, with zero, and Austria, with four per 100,000 births.

The United States had 11 deaths per 100,000 births in 2005, the United Nations says.

CNN's Stephanie Busari contributed to this report.

text: LONDON

text: England

text: CNN

text: Pregnant

text: women

text: in

text: Peru

text: are

text: dying

text: at

text: scandalous

text: rates

text: according

text: to

text: the

text: author

text: of

text: an

text: Amnesty

text: International

text: report

text: into

text: maternal

text: mortality

text: in

text: the

text: South

text: American

text: country

text: The

text: report

text: Fatal

text: Flaws

text: Barriers

text: to

text: Maternal

text: Health

text: in

text: Peru

text: found

text: that

text: hundreds

text: of

text: poor

text: rural

text: and

text: indigenous

text: pregnant

text: women

text: are

text: dying

text: because

text: they

text: are

text: being

text: denied

text: the

text: same

text: health

text: services

text: as

text: other

text: women

text: in

text: the

text: country

text: It

text: also

text: concluded

text: that

text: the

text: government

text: 's

text: response

text: to

text: tackling

text: the

text: problem

text: was

text: inadequate

text: Peruvian

text: government

text: figures

text: state

text: in

text: every

text: women

text: die

text: in

text: childbirth

text: but

text: the

text: United

text: Nations

text: says

text: the

text: number

text: is

text: much

text: higher

text: per

text: which

text: makes

text: it

text: one

text: of

text: the

text: highest

text: rates

text: of

text: maternal

text: mortality

text: in

text: the

text: Americas

text: In

text: wealthy

text: developed

text: nations

text: only

text: nine

text: women

text: die

text: for

text: every

text: births

text: The

text: five

text: main

text: causes

text: of

text: pregnancy

text: related

text: deaths

text: in

text: Peru

text: are

text: hemorrhage

text: pre

text: eclampsia

text: infection

text: complications

text: following

text: abortion

text: and

text: obstructed

text: birth

text: according

text: to

text: Peru

text: 's

text: Ministry

text: of

text: Health

text: figures

text: Amnesty

text: 's

text: Peru

text: researcher

text: Nuria

text: Garcia

text: said

text: in

text: a

text: written

text: statement

text: The

text: rates

text: of

text: maternal

text: mortality

text: in

text: Peru

text: are

text: scandalous

text: The

text: fact

text: that

text: so

text: many

text: women

text: are

text: dying

text: from

text: preventable

text: causes

text: is

text: a

text: human

text: rights

text: violation

text: The

text: Peruvian

text: state

text: is

text: simply

text: ignoring

text: its

text: obligation

text: to

text: provide

text: adequate

text: maternal

text: health

text: care

text: to

text: all

text: women

text: regardless

text: of

text: who

text: they

text: are

text: and

text: where

text: they

text: live

text: Garcia

text: added

text: Health

text: services

text: for

text: pregnant

text: women

text: in

text: Peru

text: are

text: like

text: a

text: lottery

text: If

text: you

text: are

text: poor

text: and

text: indigenous

text: the

text: chances

text: are

text: you

text: will

text: always

text: lose

text: The

text: report

text: said

text: pregnant

text: women

text: in

text: Peru

text: die

text: because

text: they

text: lack

text: access

text: to

text: emergency

text: obstetric

text: care

text: to

text: information

text: on

text: maternal

text: health

text: and

text: to

text: health

text: staff

text: members

text: who

text: can

text: speak

text: Indigenous

text: languages

text: such

text: as

text: Quechua

text: a

text: native

text: Andean

text: language

text: spoken

text: by

text: some

text: million

text: people

text: in

text: Peru

text: According

text: to

text: the

text: report

text: percent

text: of

text: deaths

text: of

text: women

text: from

text: pregnancy

text: related

text: causes

text: occurred

text: during

text: pregnancy

text: percent

text: occurred

text: during

text: the

text: birth

text: itself

text: and

text: percent

text: during

text: the

text: first

text: six

text: weeks

text: after

text: giving

text: birth

text: A

text: Census

text: of

text: Indigenous

text: People

text: showed

text: that

text: percent

text: did

text: not

text: have

text: access

text: to

text: a

text: health

text: facility

text: said

text: Amnesty

text: International

text: The

text: Amnesty

text: International

text: report

text: notes

text: that

text: the

text: Peruvian

text: government

text: has

text: instituted

text: policies

text: aimed

text: at

text: reducing

text: the

text: rates

text: of

text: maternal

text: mortality

text: such

text: as

text: increasing

text: maternal

text: waiting

text: houses

text: rooms

text: where

text: pregnant

text: women

text: who

text: live

text: far

text: from

text: health

text: centers

text: can

text: stay

text: Other

text: measures

text: include

text: more

text: training

text: for

text: health

text: staff

text: members

text: on

text: the

text: vertical

text: birth

text: method

text: common

text: among

text: indigenous

text: women

text: and

text: teaching

text: the

text: Quiche

text: language

text: to

text: health

text: professionals

text: Amnesty

text: International

text: said

text: But

text: the

text: human

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text: group

text: said

text: Peruvian

text: women

text: and

text: health

text: professionals

text: have

text: complained

text: that

text: the

text: measures

text: are

text: not

text: being

text: implemented

text: effectively

text: For

text: example

text: the

text: rights

text: group

text: said

text: even

text: though

text: the

text: number

text: of

text: waiting

text: houses

text: has

text: increased

text: more

text: than

text: threefold

text: in

text: the

text: past

text: eight

text: years

text: only

text: half

text: of

text: them

text: are

text: in

text: rural

text: areas

text: The

text: agency

text: also

text: contends

text: that

text: training

text: for

text: health

text: professionals

text: on

text: the

text: vertical

text: birth

text: method

text: is

text: not

text: sufficiently

text: widespread

text: According

text: to

text: Peru

text: 's

text: Human

text: Rights

text: ombudsperson

text: more

text: than

text: percent

text: of

text: health

text: staff

text: last

text: year

text: said

text: they

text: had

text: not

text: received

text: appropriate

text: training

text: Amnesty

text: International

text: said

text: Official

text: initiatives

text: to

text: reduce

text: maternal

text: mortality

text: are

text: good

text: news

text: Garcia

text: said

text: However

text: lack

text: of

text: clear

text: responsibilities

text: for

text: implementing

text: them

text: and

text: the

text: absence

text: of

text: effective

text: resourcing

text: and

text: monitoring

text: puts

text: any

text: initiative

text: in

text: great

text: jeopardy

text: Though

text: Peru

text: 's

text: rate

text: of

text: maternal

text: deaths

text: is

text: high

text: it

text: pales

text: in

text: comparison

text: to

text: sub

text: Saharan

text: Africa

text: which

text: has

text: about

text: deaths

text: for

text: each

text: births

text: the

text: United

text: Nations

text: says

text: For

text: Africa

text: as

text: a

text: whole

text: the

text: number

text: is

text: The

text: highest

text: rates

text: were

text: in

text: Sierra

text: Leone

text: with

text: and

text: Afghanistan

text: with

text: Latin

text: America

text: and

text: the

text: Caribbean

text: average

text: deaths

text: per

text: births

text: the

text: United

text: Nations

text: says

text: with

text: the

text: lowest

text: rates

text: in

text: Chile

text: Costa

text: Rica

text: and

text: Cuba

text: Worldwide

text: there

text: were

text: an

text: average

text: of

text: deaths

text: for

text: each

text: births

text: in

text: the

text: year

text: the

text: United

text: Nations

text: says

text: The

text: lowest

text: rates

text: were

text: in

text: Iceland

text: with

text: zero

text: and

text: Austria

text: with

text: four

text: per

text: births

text: The

text: United

text: States

text: had

text: deaths

text: per

text: births

text: in

text: the

text: United

text: Nations

text: says

text: CNN

text: 's

text: Stephanie

text: Busari

text: contributed

text: to

text: this

text: report

question: What does the reprot state?

answer: Pregnant women in Peru are dying at scandalous rates,

text: Pregnant women in Peru are dying at scandalous rates,

question: What will you always lose?

answer: "Health services for pregnant women in Peru are like a lottery:

text: "Health services for pregnant women in Peru are like a lottery:

question: What did a researcher compare this process to?

answer: a lottery:

text: a lottery:

question: What is the maternal mortality rate?

answer: 240 per 100,000,

text: 240 per 100,000,

question: Who will always lose?

answer: "Health services for pregnant women in Peru are like a lottery: If you are poor and indigenous, the chances are you

text: "Health services for pregnant women in Peru are like a lottery: If you are poor and indigenous, the chances are you


text:
(CNN) -- Chelsea moved a step closer to breaking Manchester United's stranglehold on the English Premier League title with a controversial 1-0 victory at home to Bolton Wanderers on Tuesday night.

Nicolas Anelka headed the only goal against his former club just before halftime to put the London side four points clear of three-time defending champions United with four matches to play.

Third-placed Arsenal can leapfrog United into second place with victory over London rivals Tottenham on Wednesday and be three points adrift of Chelsea.

Bolton, just five points above the relegation zone, were angry after not being awarded a penalty in each half for alleged handball by Didier Drogba and John Terry -- but were lucky not to concede more goals as Chelsea dominated late in the match.

"They weren't claims for a penalty," Bolton boss Owen Coyle told match broadcaster ESPN. "They were stonewall penalties. I knew it at the time.

"Didier Drogba is a world-class player, but looking at this replay he could be a world-class volleyball player.

"I've asked the linesman about [the Terry incident] after the game but he's said it hit his shoulder. He needs to take another look at that."

Chelsea boss Carlo Ancelotti chose not to comment on the incidents.

"It is not my job to judge the work of the officials," the Italian said. "It is a difficult job, sometimes they make the right decisions, sometimes they make bad decisions.

"We have to maintain this level. We are doing well, we are very focused and in a very good position, but we have a very difficult game on Saturday against Tottenham and we have to do our best to win that game."

Chelsea were less impressive in the first half, and it took until the 43rd minute before France striker Anelka broke the deadlock with a close-range header from Drogba's left-wing cross for his first goal since January.

Bolton striker Kevin Davies had told reporters before the match that his former teammate Anelka was unhappy playing with Drogba, but the duo combined well to end Wanderers' stubborn resistance.

The recalled Salomon Kalou should have made it 2-0 in the 54th minute but goalkeeper Jussi Jaaskelainen blocked the Ivory Coast forward's shot with his legs.

Davies was booked for a crude tackle on Jon Obi Mikel in the 77th minute, and Frank Lampard hit the post soon after with a fierce low shot after a clever dummy by Kalou's replacement Joe Cole.

England midfielder Cole gave Chelsea fresh impetus, with Michael Ballack heading his cross tamely at Jaaskelainen.

Terry drove a shot just wide from a corner but soon after was beaten in the air at the other end by Bolton substitute Johan Elmander -- however, the Swede's header went wide.

Cole should have doubled the lead in injury-time, but somehow stumbled over Yuri Zhirkov's low cross when it seemed easier to score.

Meanwhile, Inter Milan moved into the final of the Italian Cup with a 1-0 victory away to Fiorentina on Tuesday night, winning 2-0 on aggregate.

Cameroon striker Samuel Eto'o scored the only goal in the 57th minute to keep Jose Mourinho's team in the hunt for three trophies this season.

The Champions League semifinalists, who drew 2-2 with Fiorentina at the weekend, will face either new Serie A leaders Roma or Udinese in the title match.

Also on Tuesday, Cagliari sacked coach Massimiliano Allegri after the Sardinian team's slump to 12th in the Italian top flight following a haul of just two points from nine matches.

Allegri was voted Serie A coach of the year by his peers for guiding Cagliari to ninth place last season, but became the 16th to be dismissed this campaign.

text: CNN

text: Chelsea

text: moved

text: a

text: step

text: closer

text: to

text: breaking

text: Manchester

text: United

text: 's

text: stranglehold

text: on

text: the

text: English

text: Premier

text: League

text: title

text: with

text: a

text: controversial

text: victory

text: at

text: home

text: to

text: Bolton

text: Wanderers

text: on

text: Tuesday

text: night

text: Nicolas

text: Anelka

text: headed

text: the

text: only

text: goal

text: against

text: his

text: former

text: club

text: just

text: before

text: halftime

text: to

text: put

text: the

text: London

text: side

text: four

text: points

text: clear

text: of

text: three

text: time

text: defending

text: champions

text: United

text: with

text: four

text: matches

text: to

text: play

text: Third

text: placed

text: Arsenal

text: can

text: leapfrog

text: United

text: into

text: second

text: place

text: with

text: victory

text: over

text: London

text: rivals

text: Tottenham

text: on

text: Wednesday

text: and

text: be

text: three

text: points

text: adrift

text: of

text: Chelsea

text: Bolton

text: just

text: five

text: points

text: above

text: the

text: relegation

text: zone

text: were

text: angry

text: after

text: not

text: being

text: awarded

text: a

text: penalty

text: in

text: each

text: half

text: for

text: alleged

text: handball

text: by

text: Didier

text: Drogba

text: and

text: John

text: Terry

text: but

text: were

text: lucky

text: not

text: to

text: concede

text: more

text: goals

text: as

text: Chelsea

text: dominated

text: late

text: in

text: the

text: match

text: They

text: were

text: n't

text: claims

text: for

text: a

text: penalty

text: Bolton

text: boss

text: Owen

text: Coyle

text: told

text: match

text: broadcaster

text: ESPN

text: They

text: were

text: stonewall

text: penalties

text: I

text: knew

text: it

text: at

text: the

text: time

text: Didier

text: Drogba

text: is

text: a

text: world

text: class

text: player

text: but

text: looking

text: at

text: this

text: replay

text: he

text: could

text: be

text: a

text: world

text: class

text: volleyball

text: player

text: I

text: 've

text: asked

text: the

text: linesman

text: about

text: the

text: Terry

text: incident

text: after

text: the

text: game

text: but

text: he

text: 's

text: said

text: it

text: hit

text: his

text: shoulder

text: He

text: needs

text: to

text: take

text: another

text: look

text: at

text: that

text: Chelsea

text: boss

text: Carlo

text: Ancelotti

text: chose

text: not

text: to

text: comment

text: on

text: the

text: incidents

text: It

text: is

text: not

text: my

text: job

text: to

text: judge

text: the

text: work

text: of

text: the

text: officials

text: the

text: Italian

text: said

text: It

text: is

text: a

text: difficult

text: job

text: sometimes

text: they

text: make

text: the

text: right

text: decisions

text: sometimes

text: they

text: make

text: bad

text: decisions

text: We

text: have

text: to

text: maintain

text: this

text: level

text: We

text: are

text: doing

text: well

text: we

text: are

text: very

text: focused

text: and

text: in

text: a

text: very

text: good

text: position

text: but

text: we

text: have

text: a

text: very

text: difficult

text: game

text: on

text: Saturday

text: against

text: Tottenham

text: and

text: we

text: have

text: to

text: do

text: our

text: best

text: to

text: win

text: that

text: game

text: Chelsea

text: were

text: less

text: impressive

text: in

text: the

text: first

text: half

text: and

text: it

text: took

text: until

text: the

text: minute

text: before

text: France

text: striker

text: Anelka

text: broke

text: the

text: deadlock

text: with

text: a

text: close

text: range

text: header

text: from

text: Drogba

text: 's

text: left

text: wing

text: cross

text: for

text: his

text: first

text: goal

text: since

text: January

text: Bolton

text: striker

text: Kevin

text: Davies

text: had

text: told

text: reporters

text: before

text: the

text: match

text: that

text: his

text: former

text: teammate

text: Anelka

text: was

text: unhappy

text: playing

text: with

text: Drogba

text: but

text: the

text: duo

text: combined

text: well

text: to

text: end

text: Wanderers

text: stubborn

text: resistance

text: The

text: recalled

text: Salomon

text: Kalou

text: should

text: have

text: made

text: it

text: in

text: the

text: minute

text: but

text: goalkeeper

text: Jussi

text: Jaaskelainen

text: blocked

text: the

text: Ivory

text: Coast

text: forward

text: 's

text: shot

text: with

text: his

text: legs

text: Davies

text: was

text: booked

text: for

text: a

text: crude

text: tackle

text: on

text: Jon

text: Obi

text: Mikel

text: in

text: the

text: minute

text: and

text: Frank

text: Lampard

text: hit

text: the

text: post

text: soon

text: after

text: with

text: a

text: fierce

text: low

text: shot

text: after

text: a

text: clever

text: dummy

text: by

text: Kalou

text: 's

text: replacement

text: Joe

text: Cole

text: England

text: midfielder

text: Cole

text: gave

text: Chelsea

text: fresh

text: impetus

text: with

text: Michael

text: Ballack

text: heading

text: his

text: cross

text: tamely

text: at

text: Jaaskelainen

text: Terry

text: drove

text: a

text: shot

text: just

text: wide

text: from

text: a

text: corner

text: but

text: soon

text: after

text: was

text: beaten

text: in

text: the

text: air

text: at

text: the

text: other

text: end

text: by

text: Bolton

text: substitute

text: Johan

text: Elmander

text: however

text: the

text: Swede

text: 's

text: header

text: went

text: wide

text: Cole

text: should

text: have

text: doubled

text: the

text: lead

text: in

text: injury

text: time

text: but

text: somehow

text: stumbled

text: over

text: Yuri

text: Zhirkov

text: 's

text: low

text: cross

text: when

text: it

text: seemed

text: easier

text: to

text: score

text: Meanwhile

text: Inter

text: Milan

text: moved

text: into

text: the

text: final

text: of

text: the

text: Italian

text: Cup

text: with

text: a

text: victory

text: away

text: to

text: Fiorentina

text: on

text: Tuesday

text: night

text: winning

text: on

text: aggregate

text: Cameroon

text: striker

text: Samuel

text: Eto'o

text: scored

text: the

text: only

text: goal

text: in

text: the

text: minute

text: to

text: keep

text: Jose

text: Mourinho

text: 's

text: team

text: in

text: the

text: hunt

text: for

text: three

text: trophies

text: this

text: season

text: The

text: Champions

text: League

text: semifinalists

text: who

text: drew

text: with

text: Fiorentina

text: at

text: the

text: weekend

text: will

text: face

text: either

text: new

text: Serie

text: A

text: leaders

text: Roma

text: or

text: Udinese

text: in

text: the

text: title

text: match

text: Also

text: on

text: Tuesday

text: Cagliari

text: sacked

text: coach

text: Massimiliano

text: Allegri

text: after

text: the

text: Sardinian

text: team

text: 's

text: slump

text: to

text: in

text: the

text: Italian

text: top

text: flight

text: following

text: a

text: haul

text: of

text: just

text: two

text: points

text: from

text: nine

text: matches

text: Allegri

text: was

text: voted

text: Serie

text: A

text: coach

text: of

text: the

text: year

text: by

text: his

text: peers

text: for

text: guiding

text: Cagliari

text: to

text: ninth

text: place

text: last

text: season

text: but

text: became

text: the

text: to

text: be

text: dismissed

text: this

text: campaign

question: What did Inter Milan do?

answer: moved into the final of the Italian Cup

text: moved into the final of the Italian Cup

question: What was the score of the game?

answer: 1-0

question: Who was angry not to be awarded a penalty for handball?

answer: Bolton,

text: Bolton,

question: Who earns a place in the final of the Italian cup?

answer: Inter Milan

text: Inter Milan

question: What team is currently in the lead?

answer: Manchester United's

text: Manchester United's

question: How many points is Chelsea in the lead?

answer: four

text: four

question: What is the name of the main striker?

answer: Kevin Davies

text: Kevin Davies

question: What did Anelka do?

answer: headed the only goal

text: headed the only goal

question: Who scores winner just before halftime?

answer: Nicolas Anelka

text: Nicolas Anelka


text:
DAVIS, California (CNN) -- If every scientist hopes to make at least one important discovery in her career, then University of California-Davis professor Pamela Ronald and her colleagues may have hit the jackpot.

Scientists have bred a new strain of flood-tolerant rice that could help feed millions.

Ronald's team works with rice, a grain most Americans take for granted, but which is a matter of life and death to much of the world. Thanks to their efforts to breed a new, hardier variety of rice, millions of people may not go hungry.

About half the world's population eats rice as a staple. Two-thirds of the diet of subsistence farmers in India and Bangladesh is made up entirely of rice. If rice crops suffer, it can mean starvation for millions.

"People [in the United States] think, well, if I don't have enough rice, I'll go to the store," said Ronald, a professor of plant pathology at UC-Davis. "That's not the situation in these villages. They're mostly subsistence farmers. They don't have cars."

As sea levels rise and world weather patterns worsen, flooding has become a major cause of rice crop loss. Scientists estimate 4 million tons of rice are lost every year because of flooding. That's enough rice to feed 30 million people.

Rice is grown in flooded fields, usually to kill weeds. But rice plants do not like it when they are submerged in water for long periods, Ronald said.

"They don't get enough carbon dioxide, they don't get enough light and their entire metabolic processes are thrown off. The rice plant tries to grow out of the flood, but when it does, it depletes its sugar reserves. It starts to break down its chlorophyll, important for photosynthesis. It grows really quickly, and then when the flood recedes, it just dies. It's out of gas."

Normal rice dies after three days of complete flooding. Researchers know of at least one rice variety that can tolerate flooding for longer periods, but conventional breeding failed to create a strain that was acceptable to farmers.

So Ronald and her colleagues -- David Mackill, senior scientist at the International Rice Research Institute in the Philippines and Julia Bailey-Serres, professor of genetics at the University of California-Riverside -- spent the last decade working to find a rice strain that could survive flooding for longer periods.

Mackill identified a flood-resistant gene 13 years ago in a low-yielding traditional Indian rice variety. He passed along the information to Ronald, who isolated the gene, called Sub1, and introduced it into normal rice varieties, generating rice that could withstand being submerged in water for 17 days.

The team relied on something called precision breeding, the ability to introduce very specific genes into plants without the associated baggage of other genes that might tag along in conventional breeding.

"This can be a problem for farmers," Ronald said. "The varieties that were developed from conventional breeding were rejected by farmers because they didn't yield well or taste good."

Using precision breeding, scientists introduced the Sub1 gene three years ago into test fields in Bangladesh and India. The subsequent rice harvests were a resounding success.

"The results were really terrific," said Ronald. "The farmers found three- to five-fold increases in yield due to flood tolerance. They can plant the normal way. They can harvest the normal way and it tastes the same. Farmers had more food for their families and they also had additional rice they could sell to bring a little bit of money into the household."

"The potential for impact is huge," agreed Mackill in a statement on the IRRI Web site. "In Bangladesh, for example, 20 percent of the rice land is flood prone and the country typically suffers several major floods each year. Submergence-tolerant varieties could make major inroads into Bangladesh's annual rice shortfall."

The researchers anticipate that the flood-tolerant rice plants will be available to farmers in Bangladesh and India within two years. Because the plants are the product of precision breeding, rather than genetic modification, they are not subject to the same regulatory testing that can delay release of genetically modified crops.

The U.S. Department of Agriculture conferred one of its highest research awards last December on Ronald, Mackill and Bailey-Serres for their work on submergence-tolerant rice.

But Ronald has no plans to rest on her laurels.

"I feel a great sense of gratitude that I was able to contribute in this way," she said. "But the farmers have asked us, 'Can you develop varieties that are drought tolerant, salt tolerant? Can you develop varieties that are insect resistant?' There are always more things to work on."

CNN.com's Brandon Griggs contributed to this story.

text: DAVIS

text: California

text: CNN

text: If

text: every

text: scientist

text: hopes

text: to

text: make

text: at

text: least

text: one

text: important

text: discovery

text: in

text: her

text: career

text: then

text: University

text: of

text: California

text: Davis

text: professor

text: Pamela

text: Ronald

text: and

text: her

text: colleagues

text: may

text: have

text: hit

text: the

text: jackpot

text: Scientists

text: have

text: bred

text: a

text: new

text: strain

text: of

text: flood

text: tolerant

text: rice

text: that

text: could

text: help

text: feed

text: millions

text: Ronald

text: 's

text: team

text: works

text: with

text: rice

text: a

text: grain

text: most

text: Americans

text: take

text: for

text: granted

text: but

text: which

text: is

text: a

text: matter

text: of

text: life

text: and

text: death

text: to

text: much

text: of

text: the

text: world

text: Thanks

text: to

text: their

text: efforts

text: to

text: breed

text: a

text: new

text: hardier

text: variety

text: of

text: rice

text: millions

text: of

text: people

text: may

text: not

text: go

text: hungry

text: About

text: half

text: the

text: world

text: 's

text: population

text: eats

text: rice

text: as

text: a

text: staple

text: Two

text: thirds

text: of

text: the

text: diet

text: of

text: subsistence

text: farmers

text: in

text: India

text: and

text: Bangladesh

text: is

text: made

text: up

text: entirely

text: of

text: rice

text: If

text: rice

text: crops

text: suffer

text: it

text: can

text: mean

text: starvation

text: for

text: millions

text: People

text: in

text: the

text: United

text: States

text: think

text: well

text: if

text: I

text: do

text: n't

text: have

text: enough

text: rice

text: I

text: 'll

text: go

text: to

text: the

text: store

text: said

text: Ronald

text: a

text: professor

text: of

text: plant

text: pathology

text: at

text: UC

text: Davis

text: That

text: 's

text: not

text: the

text: situation

text: in

text: these

text: villages

text: They

text: 're

text: mostly

text: subsistence

text: farmers

text: They

text: do

text: n't

text: have

text: cars

text: As

text: sea

text: levels

text: rise

text: and

text: world

text: weather

text: patterns

text: worsen

text: flooding

text: has

text: become

text: a

text: major

text: cause

text: of

text: rice

text: crop

text: loss

text: Scientists

text: estimate

text: million

text: tons

text: of

text: rice

text: are

text: lost

text: every

text: year

text: because

text: of

text: flooding

text: That

text: 's

text: enough

text: rice

text: to

text: feed

text: million

text: people

text: Rice

text: is

text: grown

text: in

text: flooded

text: fields

text: usually

text: to

text: kill

text: weeds

text: But

text: rice

text: plants

text: do

text: not

text: like

text: it

text: when

text: they

text: are

text: submerged

text: in

text: water

text: for

text: long

text: periods

text: Ronald

text: said

text: They

text: do

text: n't

text: get

text: enough

text: carbon

text: dioxide

text: they

text: do

text: n't

text: get

text: enough

text: light

text: and

text: their

text: entire

text: metabolic

text: processes

text: are

text: thrown

text: off

text: The

text: rice

text: plant

text: tries

text: to

text: grow

text: out

text: of

text: the

text: flood

text: but

text: when

text: it

text: does

text: it

text: depletes

text: its

text: sugar

text: reserves

text: It

text: starts

text: to

text: break

text: down

text: its

text: chlorophyll

text: important

text: for

text: photosynthesis

text: It

text: grows

text: really

text: quickly

text: and

text: then

text: when

text: the

text: flood

text: recedes

text: it

text: just

text: dies

text: It

text: 's

text: out

text: of

text: gas

text: Normal

text: rice

text: dies

text: after

text: three

text: days

text: of

text: complete

text: flooding

text: Researchers

text: know

text: of

text: at

text: least

text: one

text: rice

text: variety

text: that

text: can

text: tolerate

text: flooding

text: for

text: longer

text: periods

text: but

text: conventional

text: breeding

text: failed

text: to

text: create

text: a

text: strain

text: that

text: was

text: acceptable

text: to

text: farmers

text: So

text: Ronald

text: and

text: her

text: colleagues

text: David

text: Mackill

text: senior

text: scientist

text: at

text: the

text: International

text: Rice

text: Research

text: Institute

text: in

text: the

text: Philippines

text: and

text: Julia

text: Bailey

text: Serres

text: professor

text: of

text: genetics

text: at

text: the

text: University

text: of

text: California

text: Riverside

text: spent

text: the

text: last

text: decade

text: working

text: to

text: find

text: a

text: rice

text: strain

text: that

text: could

text: survive

text: flooding

text: for

text: longer

text: periods

text: Mackill

text: identified

text: a

text: flood

text: resistant

text: gene

text: years

text: ago

text: in

text: a

text: low

text: yielding

text: traditional

text: Indian

text: rice

text: variety

text: He

text: passed

text: along

text: the

text: information

text: to

text: Ronald

text: who

text: isolated

text: the

text: gene

text: called

text: and

text: introduced

text: it

text: into

text: normal

text: rice

text: varieties

text: generating

text: rice

text: that

text: could

text: withstand

text: being

text: submerged

text: in

text: water

text: for

text: days

text: The

text: team

text: relied

text: on

text: something

text: called

text: precision

text: breeding

text: the

text: ability

text: to

text: introduce

text: very

text: specific

text: genes

text: into

text: plants

text: without

text: the

text: associated

text: baggage

text: of

text: other

text: genes

text: that

text: might

text: tag

text: along

text: in

text: conventional

text: breeding

text: This

text: can

text: be

text: a

text: problem

text: for

text: farmers

text: Ronald

text: said

text: The

text: varieties

text: that

text: were

text: developed

text: from

text: conventional

text: breeding

text: were

text: rejected

text: by

text: farmers

text: because

text: they

text: did

text: n't

text: yield

text: well

text: or

text: taste

text: good

text: Using

text: precision

text: breeding

text: scientists

text: introduced

text: the

text: gene

text: three

text: years

text: ago

text: into

text: test

text: fields

text: in

text: Bangladesh

text: and

text: India

text: The

text: subsequent

text: rice

text: harvests

text: were

text: a

text: resounding

text: success

text: The

text: results

text: were

text: really

text: terrific

text: said

text: Ronald

text: The

text: farmers

text: found

text: three-

text: to

text: five

text: fold

text: increases

text: in

text: yield

text: due

text: to

text: flood

text: tolerance

text: They

text: can

text: plant

text: the

text: normal

text: way

text: They

text: can

text: harvest

text: the

text: normal

text: way

text: and

text: it

text: tastes

text: the

text: same

text: Farmers

text: had

text: more

text: food

text: for

text: their

text: families

text: and

text: they

text: also

text: had

text: additional

text: rice

text: they

text: could

text: sell

text: to

text: bring

text: a

text: little

text: bit

text: of

text: money

text: into

text: the

text: household

text: The

text: potential

text: for

text: impact

text: is

text: huge

text: agreed

text: Mackill

text: in

text: a

text: statement

text: on

text: the

text: IRRI

text: Web

text: site

text: In

text: Bangladesh

text: for

text: example

text: percent

text: of

text: the

text: rice

text: land

text: is

text: flood

text: prone

text: and

text: the

text: country

text: typically

text: suffers

text: several

text: major

text: floods

text: each

text: year

text: Submergence

text: tolerant

text: varieties

text: could

text: make

text: major

text: inroads

text: into

text: Bangladesh

text: 's

text: annual

text: rice

text: shortfall

text: The

text: researchers

text: anticipate

text: that

text: the

text: flood

text: tolerant

text: rice

text: plants

text: will

text: be

text: available

text: to

text: farmers

text: in

text: Bangladesh

text: and

text: India

text: within

text: two

text: years

text: Because

text: the

text: plants

text: are

text: the

text: product

text: of

text: precision

text: breeding

text: rather

text: than

text: genetic

text: modification

text: they

text: are

text: not

text: subject

text: to

text: the

text: same

text: regulatory

text: testing

text: that

text: can

text: delay

text: release

text: of

text: genetically

text: modified

text: crops

text: The

text: U.S.

text: Department

text: of

text: Agriculture

text: conferred

text: one

text: of

text: its

text: highest

text: research

text: awards

text: last

text: December

text: on

text: Ronald

text: Mackill

text: and

text: Bailey

text: Serres

text: for

text: their

text: work

text: on

text: submergence

text: tolerant

text: rice

text: But

text: Ronald

text: has

text: no

text: plans

text: to

text: rest

text: on

text: her

text: laurels

text: I

text: feel

text: a

text: great

text: sense

text: of

text: gratitude

text: that

text: I

text: was

text: able

text: to

text: contribute

text: in

text: this

text: way

text: she

text: said

text: But

text: the

text: farmers

text: have

text: asked

text: us

text: Can

text: you

text: develop

text: varieties

text: that

text: are

text: drought

text: tolerant

text: salt

text: tolerant

text: Can

text: you

text: develop

text: varieties

text: that

text: are

text: insect

text: resistant

text: There

text: are

text: always

text: more

text: things

text: to

text: work

text: on

text: CNN.com

text: 's

text: Brandon

text: Griggs

text: contributed

text: to

text: this

text: story

question: what have scientists developed

answer: bred a new strain of flood-tolerant rice

text: bred a new strain of flood-tolerant rice

question: how many days can survive this new rice under complete fooding?

answer: 17

question: how long can the flood tolerent rice survive

answer: could withstand being submerged in water for 17 days.

text: could withstand being submerged in water for 17 days.

question: What do scientists breed?

answer: new strain of flood-tolerant rice

text: new strain of flood-tolerant rice

question: where was the rice tested

answer: Bangladesh and India.

text: Bangladesh and India.

question: How much of the world's population eats rice?

answer: half

text: half

question: what the scientists breed?

answer: new strain of flood-tolerant rice

text: new strain of flood-tolerant rice

question: Where was the new rice field-tested?

answer: Bangladesh and India.

text: Bangladesh and India.

question: where this rice was tested?

answer: Research Institute in the Philippines

text: Research Institute in the Philippines


text:
Manila, Philippines (CNN) -- The Philippines government has increased security in the southern region of Maguindanao after gunmen kidnapped and killed at least 22 people, according to military officials and the country's national news agency.

Some of the bodies were beheaded, according to Filipino media. The details suggest the daytime abductions were politically motivated, and the military said the gunmen were loyal to the province's incumbent governor.

Those killed include a gubernatorial candidate's wife and one of his sisters, according to two of his family members who spoke on local television. The death toll also included at least 12 journalists, according to Reporters Without Borders, a media freedom organization.

Ismael "Toto" Mangudadatu wanted to run for governor of Maguindanao province in May but had received threats he would be kidnapped if he filed the candidate nomination papers himself. He sent his wife and sisters to file the papers, thinking "that women would have some protection," journalist Maria Ressa told CNN.

"It was supposed to be a media event," Ressa said, "[to] let the public know that this politician would run for governor."

Army officials said 100 gunmen surrounded the group of about 40 people -- many local journalists and women among them -- and ordered them out of their vehicles. They took the hostages to a mountainous region, officials said.

Some of the women were raped and tortured, according to media reports.

The military confirmed finding 22 bodies, some of them reportedly beheaded.

"Never in the history of journalism have the news media suffered such a heavy loss of life in one day," Reporters Without Borders said of the 12 journalists reported dead.

The military has said the gunmen are loyal to Maguindanao Gov. Andal Ampatuan, who has held control of the area for the past decade and is a longtime ally of President Gloria Macapagal-Arroyo.

Neither Ampatuan nor his advisers have commented on the allegation.

Maguindanao is a province in Mindanao, a Muslim autonomous region out of the control of the central government. The Philippines government said it increased security in the region after the attacks.

Jesus Dureza, an adviser to Macapagal-Arroyo, called the slayings "a gruesome massacre of civilians unequaled in recent history."

Dureza, Macapagal-Arroyo's adviser on Mindanao affairs, has asked the government to place Maguindanao province under a state of emergency.

Elections in the Philippines have long been marred by violence, but Monday's abductions and killings shocked the nation. Macapagal-Arroyo condemned the killings and ordered more Filipino troops to the region to bolster security, according to the Philippines News Agency.

She also ordered the Armed Forces of the Philippines "to conduct immediate and relentless pursuit of the perpetrators [and] to secure the affected areas," the agency reported.

Military checkpoints are being set up as part of the security effort, state media reported.

Aid agencies operating in the region have long complained about a climate of fear in the region, where the government has little control and private armies operate freely.

Reporters Without Borders said it has been outspoken in criticizing "the culture of impunity and violence in the Philippines, especially Mindanao."

"This time, the frenzied violence of thugs working for corrupt politicians has resulted in an incomprehensible bloodbath," the organization said. "We call for a strong reaction from the local and national authorities."

Journalist Maria Ressa contributed to this report.

text: Manila

text: Philippines

text: CNN

text: The

text: Philippines

text: government

text: has

text: increased

text: security

text: in

text: the

text: southern

text: region

text: of

text: Maguindanao

text: after

text: gunmen

text: kidnapped

text: and

text: killed

text: at

text: least

text: people

text: according

text: to

text: military

text: officials

text: and

text: the

text: country

text: 's

text: national

text: news

text: agency

text: Some

text: of

text: the

text: bodies

text: were

text: beheaded

text: according

text: to

text: Filipino

text: media

text: The

text: details

text: suggest

text: the

text: daytime

text: abductions

text: were

text: politically

text: motivated

text: and

text: the

text: military

text: said

text: the

text: gunmen

text: were

text: loyal

text: to

text: the

text: province

text: 's

text: incumbent

text: governor

text: Those

text: killed

text: include

text: a

text: gubernatorial

text: candidate

text: 's

text: wife

text: and

text: one

text: of

text: his

text: sisters

text: according

text: to

text: two

text: of

text: his

text: family

text: members

text: who

text: spoke

text: on

text: local

text: television

text: The

text: death

text: toll

text: also

text: included

text: at

text: least

text: journalists

text: according

text: to

text: Reporters

text: Without

text: Borders

text: a

text: media

text: freedom

text: organization

text: Ismael

text: Toto

text: Mangudadatu

text: wanted

text: to

text: run

text: for

text: governor

text: of

text: Maguindanao

text: province

text: in

text: May

text: but

text: had

text: received

text: threats

text: he

text: would

text: be

text: kidnapped

text: if

text: he

text: filed

text: the

text: candidate

text: nomination

text: papers

text: himself

text: He

text: sent

text: his

text: wife

text: and

text: sisters

text: to

text: file

text: the

text: papers

text: thinking

text: that

text: women

text: would

text: have

text: some

text: protection

text: journalist

text: Maria

text: Ressa

text: told

text: CNN

text: It

text: was

text: supposed

text: to

text: be

text: a

text: media

text: event

text: Ressa

text: said

text: to

text: let

text: the

text: public

text: know

text: that

text: this

text: politician

text: would

text: run

text: for

text: governor

text: Army

text: officials

text: said

text: gunmen

text: surrounded

text: the

text: group

text: of

text: about

text: people

text: many

text: local

text: journalists

text: and

text: women

text: among

text: them

text: and

text: ordered

text: them

text: out

text: of

text: their

text: vehicles

text: They

text: took

text: the

text: hostages

text: to

text: a

text: mountainous

text: region

text: officials

text: said

text: Some

text: of

text: the

text: women

text: were

text: raped

text: and

text: tortured

text: according

text: to

text: media

text: reports

text: The

text: military

text: confirmed

text: finding

text: bodies

text: some

text: of

text: them

text: reportedly

text: beheaded

text: Never

text: in

text: the

text: history

text: of

text: journalism

text: have

text: the

text: news

text: media

text: suffered

text: such

text: a

text: heavy

text: loss

text: of

text: life

text: in

text: one

text: day

text: Reporters

text: Without

text: Borders

text: said

text: of

text: the

text: journalists

text: reported

text: dead

text: The

text: military

text: has

text: said

text: the

text: gunmen

text: are

text: loyal

text: to

text: Maguindanao

text: Gov.

text: Andal

text: Ampatuan

text: who

text: has

text: held

text: control

text: of

text: the

text: area

text: for

text: the

text: past

text: decade

text: and

text: is

text: a

text: longtime

text: ally

text: of

text: President

text: Gloria

text: Macapagal

text: Arroyo

text: Neither

text: Ampatuan

text: nor

text: his

text: advisers

text: have

text: commented

text: on

text: the

text: allegation

text: Maguindanao

text: is

text: a

text: province

text: in

text: Mindanao

text: a

text: Muslim

text: autonomous

text: region

text: out

text: of

text: the

text: control

text: of

text: the

text: central

text: government

text: The

text: Philippines

text: government

text: said

text: it

text: increased

text: security

text: in

text: the

text: region

text: after

text: the

text: attacks

text: Jesus

text: Dureza

text: an

text: adviser

text: to

text: Macapagal

text: Arroyo

text: called

text: the

text: slayings

text: a

text: gruesome

text: massacre

text: of

text: civilians

text: unequaled

text: in

text: recent

text: history

text: Dureza

text: Macapagal

text: Arroyo

text: 's

text: adviser

text: on

text: Mindanao

text: affairs

text: has

text: asked

text: the

text: government

text: to

text: place

text: Maguindanao

text: province

text: under

text: a

text: state

text: of

text: emergency

text: Elections

text: in

text: the

text: Philippines

text: have

text: long

text: been

text: marred

text: by

text: violence

text: but

text: Monday

text: 's

text: abductions

text: and

text: killings

text: shocked

text: the

text: nation

text: Macapagal

text: Arroyo

text: condemned

text: the

text: killings

text: and

text: ordered

text: more

text: Filipino

text: troops

text: to

text: the

text: region

text: to

text: bolster

text: security

text: according

text: to

text: the

text: Philippines

text: News

text: Agency

text: She

text: also

text: ordered

text: the

text: Armed

text: Forces

text: of

text: the

text: Philippines

text: to

text: conduct

text: immediate

text: and

text: relentless

text: pursuit

text: of

text: the

text: perpetrators

text: and

text: to

text: secure

text: the

text: affected

text: areas

text: the

text: agency

text: reported

text: Military

text: checkpoints

text: are

text: being

text: set

text: up

text: as

text: part

text: of

text: the

text: security

text: effort

text: state

text: media

text: reported

text: Aid

text: agencies

text: operating

text: in

text: the

text: region

text: have

text: long

text: complained

text: about

text: a

text: climate

text: of

text: fear

text: in

text: the

text: region

text: where

text: the

text: government

text: has

text: little

text: control

text: and

text: private

text: armies

text: operate

text: freely

text: Reporters

text: Without

text: Borders

text: said

text: it

text: has

text: been

text: outspoken

text: in

text: criticizing

text: the

text: culture

text: of

text: impunity

text: and

text: violence

text: in

text: the

text: Philippines

text: especially

text: Mindanao

text: This

text: time

text: the

text: frenzied

text: violence

text: of

text: thugs

text: working

text: for

text: corrupt

text: politicians

text: has

text: resulted

text: in

text: an

text: incomprehensible

text: bloodbath

text: the

text: organization

text: said

text: We

text: call

text: for

text: a

text: strong

text: reaction

text: from

text: the

text: local

text: and

text: national

text: authorities

text: Journalist

text: Maria

text: Ressa

text: contributed

text: to

text: this

text: report

question: What occurred in Philipines?

answer: gunmen kidnapped and killed at least 22 people,

text: gunmen kidnapped and killed at least 22 people,

question: How many journalists are dead?

answer: at least 12

text: at least 12

question: how many died?

answer: at least 22 people,

text: at least 22 people,

question: Whose wife was killed?

answer: gubernatorial candidate's

text: gubernatorial candidate's

question: Where did the kidnappings occur?

answer: of Maguindanao

text: of Maguindanao


text:
Editor's note: CNN.com has a business partnership with CareerBuilder.com, which serves as the exclusive provider of job listings and services to CNN.com.

If you've rewritten that rÃ©sumÃ© several times and sent out dozens of applications but your job search still shows no promise, you might not be the problem.

One frequently overlooked but critical factor in finding a new job is your state's unemployment rate. You can have the experience and skills of an employer's dream, but they won't do you any good if there just aren't enough jobs available.

The unemployment rate is the percentage of job seekers in the work force who are still looking for work. The higher the percentage, the more difficult it is to find a job. The national unemployment rate is 5 percent, based on the most recent data from the Bureau of Labor Statistics (BLS).

If you're looking for a job, you should see how your state compares to the rest of the country. Here are the 10 worst states to find work ranked by their unemployment rates.

1. Michigan Unemployment rate: 7.6 percent Population: 10,071,822 Mean annual wage: $41,230 Top industry: Trade, transportation and utilities (18.4 percent)***

2. Mississippi Unemployment rate: 6.8 percent Population: 2,918,785 Mean annual wage: $30,460 Top industry: Government (21.2 percent)

3. South Carolina Unemployment rate: 6.6 percent Population: 4,407,709 Mean annual wage: $33,400 Top industry: Trade, transportation and utilities (19.4 percent)

4. Alaska Unemployment rate: 6.5 percent Population: 683,478 Mean annual wage: $43,920 Top industry: Government (25.9 percent)

5. California Unemployment rate: 6.1 percent Population: 36,553,215 Mean annual wage: $44,180 Top industry: Trade, transportation and utilities (18.9 percent)

6. District of Columbia Unemployment rate: 6.1 percent Population: 588,292 Mean annual wage: $61,500 Top industry: Government (33.3 percent)

7. Ohio Unemployment rate: 6 percent Population: 11,466,917 Mean annual wage: $37,360 Top industry: Trade, transportation and utilities (19.3 percent)

8. Arkansas Unemployment rate: 5.9 percent Population: 2,834,797 Mean annual wage: $30,870 Top industry: Trade, transportation and utilities (20.6 percent)

9. Nevada Unemployment rate: 5.8 percent Population: 2,565,382 Mean annual wage: $36,000 Top industry: Leisure and hospitality (26.5 percent)

10. Kentucky Unemployment rate: 5.7 percent Population: 4,241,474 Mean annual wage: $33,490 Top industry: Trade, transportation and utilities (20.4 percent)

*Unemployment rates, mean annual wages and industry percentages obtained from BLS in January 2008. Percentages based on nonfarm payrolls, seasonally adjusted. **Population figures based on U.S. Census Bureau data. ***Top industries are those that employ the largest percentage of a state's labor force. E-mail to a friend

text: Editor

text: 's

text: note

text: CNN.com

text: has

text: a

text: business

text: partnership

text: with

text: CareerBuilder.com

text: which

text: serves

text: as

text: the

text: exclusive

text: provider

text: of

text: job

text: listings

text: and

text: services

text: to

text: CNN.com

text: If

text: you

text: 've

text: rewritten

text: that

text: rÃ

text: sumÃ

text: several

text: times

text: and

text: sent

text: out

text: dozens

text: of

text: applications

text: but

text: your

text: job

text: search

text: still

text: shows

text: no

text: promise

text: you

text: might

text: not

text: be

text: the

text: problem

text: One

text: frequently

text: overlooked

text: but

text: critical

text: factor

text: in

text: finding

text: a

text: new

text: job

text: is

text: your

text: state

text: 's

text: unemployment

text: rate

text: You

text: can

text: have

text: the

text: experience

text: and

text: skills

text: of

text: an

text: employer

text: 's

text: dream

text: but

text: they

text: wo

text: n't

text: do

text: you

text: any

text: good

text: if

text: there

text: just

text: are

text: n't

text: enough

text: jobs

text: available

text: The

text: unemployment

text: rate

text: is

text: the

text: percentage

text: of

text: job

text: seekers

text: in

text: the

text: work

text: force

text: who

text: are

text: still

text: looking

text: for

text: work

text: The

text: higher

text: the

text: percentage

text: the

text: more

text: difficult

text: it

text: is

text: to

text: find

text: a

text: job

text: The

text: national

text: unemployment

text: rate

text: is

text: percent

text: based

text: on

text: the

text: most

text: recent

text: data

text: from

text: the

text: Bureau

text: of

text: Labor

text: Statistics

text: BLS

text: If

text: you

text: 're

text: looking

text: for

text: a

text: job

text: you

text: should

text: see

text: how

text: your

text: state

text: compares

text: to

text: the

text: rest

text: of

text: the

text: country

text: Here

text: are

text: the

text: worst

text: states

text: to

text: find

text: work

text: ranked

text: by

text: their

text: unemployment

text: rates

text: Michigan

text: Unemployment

text: rate

text: percent

text: Population

text: Mean

text: annual

text: wage

text: Top

text: industry

text: Trade

text: transportation

text: and

text: utilities

text: percent

text: Mississippi

text: Unemployment

text: rate

text: percent

text: Population

text: Mean

text: annual

text: wage

text: Top

text: industry

text: Government

text: percent

text: South

text: Carolina

text: Unemployment

text: rate

text: percent

text: Population

text: Mean

text: annual

text: wage

text: Top

text: industry

text: Trade

text: transportation

text: and

text: utilities

text: percent

text: Alaska

text: Unemployment

text: rate

text: percent

text: Population

text: Mean

text: annual

text: wage

text: Top

text: industry

text: Government

text: percent

text: California

text: Unemployment

text: rate

text: percent

text: Population

text: Mean

text: annual

text: wage

text: Top

text: industry

text: Trade

text: transportation

text: and

text: utilities

text: percent

text: District

text: of

text: Columbia

text: Unemployment

text: rate

text: percent

text: Population

text: Mean

text: annual

text: wage

text: Top

text: industry

text: Government

text: percent

text: Ohio

text: Unemployment

text: rate

text: percent

text: Population

text: Mean

text: annual

text: wage

text: Top

text: industry

text: Trade

text: transportation

text: and

text: utilities

text: percent

text: Arkansas

text: Unemployment

text: rate

text: percent

text: Population

text: Mean

text: annual

text: wage

text: Top

text: industry

text: Trade

text: transportation

text: and

text: utilities

text: percent

text: Nevada

text: Unemployment

text: rate

text: percent

text: Population

text: Mean

text: annual

text: wage

text: Top

text: industry

text: Leisure

text: and

text: hospitality

text: percent

text: Kentucky

text: Unemployment

text: rate

text: percent

text: Population

text: Mean

text: annual

text: wage

text: Top

text: industry

text: Trade

text: transportation

text: and

text: utilities

text: percent

text: Unemployment

text: rates

text: mean

text: annual

text: wages

text: and

text: industry

text: percentages

text: obtained

text: from

text: BLS

text: in

text: January

text: Percentages

text: based

text: on

text: nonfarm

text: payrolls

text: seasonally

text: adjusted

text: Population

text: figures

text: based

text: on

text: U.S.

text: Census

text: Bureau

text: data

text: Top

text: industries

text: are

text: those

text: that

text: employ

text: the

text: largest

text: percentage

text: of

text: a

text: state

text: 's

text: labor

text: force

text: E

text: mail

text: to

text: a

text: friend

question: What is Alaska's top industry?

answer: : Governmen

text: : Governmen

question: who have highest rates?

answer: . Michiga

text: . Michiga

question: Which states have the highest unemployment rates?

answer: . Mississipp

text: . Mississipp

question: which is Alaska's top industry?

answer: : Governmen

text: : Governmen

question: What can high unemployment rats do?

answer: e more difficult it is to find a job

text: e more difficult it is to find a job


text:
(CNN) -- At least 51 people have died and at least 21 others are missing after torrential rains and subsequent flooding pummeled the Philippines on Saturday, the government said.

Filipino pedestrians in Quezon City, a suburb of Manila, brave Tropical Storm Ketsana's floodwaters.

Tropical Storm Ketsana spawned the flooding, which caused at least six of the deaths in Manila, the nation's capital.

Manila and the nearby province of Rizal bore the brunt of the downpour, said Gilberto Teodoro, secretary of national defense and chairman of the National Disaster Coordinating Council.

Two of the dead in the capital city were victims of a wall that collapsed, he said.

Five thousand people were rescued without boats, and another 3,688 were rescued with boats, he said.

Another governmental official reported four injuries.

"My neighborhood rarely gets a bad flooding and I guess this is the worst," said CNN iReporter Jv Abellar from Quezon City, Philippines.

"Traversing through the flood is like walking through rapids."

In all, 41,205 people had sought refuge in 92 evacuation centers, Teodoro said.

By 8:30 a.m. Sunday (8:30 p.m. Saturday ET), the torrential rains ended and slight rainfall was reported.

Some roads in the capital metropolitan area had reopened, but "we do not encourage people to travel these roads," Teodoro told CNN in a telephone interview.

"They can be a hindrance to efficient relief and rescue operations."

The federal government began massive relief efforts to aid the local governments, and set up aid centers addressing pressing problems such as sanitation and water purification.

President Gloria Macapagal-Arroyo has ordered pay parking lots at malls in Manila to be opened so motorists can leave their cars there without charge, Teodoro said. iReport.com: Share images of Philippines flooding

Manila's Nino Aquino International Airport and nearly all of the country's other international airports had reopened, he said.

Though the Philippines is no stranger to floods, Saturday's downpours approached a record, with 341 mm (13.4 inches) falling between 8 a.m. and 2 p.m., he said.

The average rainfall for the entire month of September is 391 mm (15.4 inches), he said.

text: CNN

text: At

text: least

text: people

text: have

text: died

text: and

text: at

text: least

text: others

text: are

text: missing

text: after

text: torrential

text: rains

text: and

text: subsequent

text: flooding

text: pummeled

text: the

text: Philippines

text: on

text: Saturday

text: the

text: government

text: said

text: Filipino

text: pedestrians

text: in

text: Quezon

text: City

text: a

text: suburb

text: of

text: Manila

text: brave

text: Tropical

text: Storm

text: Ketsana

text: 's

text: floodwaters

text: Tropical

text: Storm

text: Ketsana

text: spawned

text: the

text: flooding

text: which

text: caused

text: at

text: least

text: six

text: of

text: the

text: deaths

text: in

text: Manila

text: the

text: nation

text: 's

text: capital

text: Manila

text: and

text: the

text: nearby

text: province

text: of

text: Rizal

text: bore

text: the

text: brunt

text: of

text: the

text: downpour

text: said

text: Gilberto

text: Teodoro

text: secretary

text: of

text: national

text: defense

text: and

text: chairman

text: of

text: the

text: National

text: Disaster

text: Coordinating

text: Council

text: Two

text: of

text: the

text: dead

text: in

text: the

text: capital

text: city

text: were

text: victims

text: of

text: a

text: wall

text: that

text: collapsed

text: he

text: said

text: Five

text: thousand

text: people

text: were

text: rescued

text: without

text: boats

text: and

text: another

text: were

text: rescued

text: with

text: boats

text: he

text: said

text: Another

text: governmental

text: official

text: reported

text: four

text: injuries

text: My

text: neighborhood

text: rarely

text: gets

text: a

text: bad

text: flooding

text: and

text: I

text: guess

text: this

text: is

text: the

text: worst

text: said

text: CNN

text: iReporter

text: Jv

text: Abellar

text: from

text: Quezon

text: City

text: Philippines

text: Traversing

text: through

text: the

text: flood

text: is

text: like

text: walking

text: through

text: rapids

text: In

text: all

text: people

text: had

text: sought

text: refuge

text: in

text: evacuation

text: centers

text: Teodoro

text: said

text: By

text: a.m.

text: Sunday

text: p.m.

text: Saturday

text: ET

text: the

text: torrential

text: rains

text: ended

text: and

text: slight

text: rainfall

text: was

text: reported

text: Some

text: roads

text: in

text: the

text: capital

text: metropolitan

text: area

text: had

text: reopened

text: but

text: we

text: do

text: not

text: encourage

text: people

text: to

text: travel

text: these

text: roads

text: Teodoro

text: told

text: CNN

text: in

text: a

text: telephone

text: interview

text: They

text: can

text: be

text: a

text: hindrance

text: to

text: efficient

text: relief

text: and

text: rescue

text: operations

text: The

text: federal

text: government

text: began

text: massive

text: relief

text: efforts

text: to

text: aid

text: the

text: local

text: governments

text: and

text: set

text: up

text: aid

text: centers

text: addressing

text: pressing

text: problems

text: such

text: as

text: sanitation

text: and

text: water

text: purification

text: President

text: Gloria

text: Macapagal

text: Arroyo

text: has

text: ordered

text: pay

text: parking

text: lots

text: at

text: malls

text: in

text: Manila

text: to

text: be

text: opened

text: so

text: motorists

text: can

text: leave

text: their

text: cars

text: there

text: without

text: charge

text: Teodoro

text: said

text: iReport.com

text: Share

text: images

text: of

text: Philippines

text: flooding

text: Manila

text: 's

text: Nino

text: Aquino

text: International

text: Airport

text: and

text: nearly

text: all

text: of

text: the

text: country

text: 's

text: other

text: international

text: airports

text: had

text: reopened

text: he

text: said

text: Though

text: the

text: Philippines

text: is

text: no

text: stranger

text: to

text: floods

text: Saturday

text: 's

text: downpours

text: approached

text: a

text: record

text: with

text: mm

text: inches

text: falling

text: between

text: a.m.

text: and

text: p.m.

text: he

text: said

text: The

text: average

text: rainfall

text: for

text: the

text: entire

text: month

text: of

text: September

text: is

text: mm

text: inches

text: he

text: said

question: how many evacuations centers there are?

answer: 92

question: How many people are dead?

answer: 51

question: How many people sought refuge?

answer: 41,205

question: How many people were rescued without boats?

answer: Five thousand

text: Five thousand

question: what cause the death of 50 philippines?

answer: subsequent flooding

text: subsequent flooding