:00:00. > :00:17.Hello. This is BBC World News. Our top stories. Three more bodies are
:00:18. > :00:24.found at the sight of the Kenyan shopping mall siege, two are likely
:00:25. > :00:25.to be gunman. One of the suspects is identified by investigators as a
:00:26. > :00:32.Norwegian citizen. China's economy picks up speed. It
:00:33. > :00:33.grew by almost 8% in the last quarter, after slowing earlier this
:00:34. > :00:37.year. Fires continue to sweep through the
:00:38. > :00:39.Australian state of New South Wales. One man has been killed, and dozens
:00:40. > :00:45.of homes destroyed. And, unveiling the mysteries of
:00:46. > :00:46.sleep. Researchers identify the fundamental reason why we really
:00:47. > :01:12.need that shut-eye. Nearly four weeks after militants
:01:13. > :01:15.stormed an upmarket shopping complex in the Kenyan capital, details of
:01:16. > :01:21.the attackers' identities are beginning to emerge. Two bodies
:01:22. > :01:23.which were pulled from the rubble of the Westgate complex may well be
:01:24. > :01:31.those of Al-Shabab militants, according to the Kenyan authorities.
:01:32. > :01:34.And, in a separate development, a Norwegian investigation has
:01:35. > :01:39.identified one of the men who planned and carried out the attack.
:01:40. > :01:44.He's 23-year-old Hassan Dhuhulow, a Norwegian national who was born in
:01:45. > :01:45.Somalia. Our East Africa correspondent Gabriel Gatehouse has
:01:46. > :01:59.this special report. Until now, he has been known simply
:02:00. > :02:05.black shirt. The BBC can reveal investigators believe this man shown
:02:06. > :02:10.here firing this inside the shopping centre is Hassan Abdi Dhuhulow, a
:02:11. > :02:14.23-year-old Norwegian citizen. New pictures have emerged of the moment
:02:15. > :02:20.the attackers struck the Westgate shopping mall. Initially it was said
:02:21. > :02:24.there were 15 attackers but footage has consistently shown only for
:02:25. > :02:30.gunman of which Hassan Abdi Dhuhulow was believed one. They are seeing
:02:31. > :02:34.here calmly wandering around the store, later some of them take time
:02:35. > :02:39.to pray. Earlier this month, authorities released for names for
:02:40. > :02:43.the men seeing him walking through the store room. In Nairobi,
:02:44. > :02:54.investigators knew little more than the colour of their clothes. This
:02:55. > :03:02.sleepy town seems as remote as possible from the ravages of
:03:03. > :03:05.Somalia. This is Norway 's southern coast where Hassan Abdi Dhuhulow
:03:06. > :03:13.spent his formative years. It was in this block of flats on the outskirts
:03:14. > :03:16.of Larvik that we understand Hassan Abdi Dhuhulow lived as a teenager
:03:17. > :03:23.with his family, until a few years ago. A neighbour told us he
:03:24. > :03:28.disappeared and moved to Africa. The neighbour took a look at the CCTV
:03:29. > :03:33.footage on inside Westgate. It might be him. In the black jacket? He
:03:34. > :03:38.admits he hasn't seen his neighbour for four years but he points without
:03:39. > :03:44.prompting to black shirt, apparently, breaking other sources
:03:45. > :03:51.in Norway and can you. He was pretty extreme. In what ways? He was
:03:52. > :04:00.talking about the Koran all the time. He didn't like the way we
:04:01. > :04:05.lived here. Here is what we know about Hassan Abdi Dhuhulow. In
:04:06. > :04:09.1999, he fled Mogadishu with his family. He returned to Somalia ten
:04:10. > :04:14.years later hoping to build a life for himself. Since then, a family
:04:15. > :04:19.member said he kept in sporadic contact, calling infrequently and
:04:20. > :04:24.always from different Somali numbers. His last call was made this
:04:25. > :04:31.summer. He was in trouble, he said, and wanted to come home. Between 20
:04:32. > :04:34.and 30 Norwegian citizens almost exclusively of Somali origin are
:04:35. > :04:41.thought to have travelled to East Africa to join Al-Shabab. Of concern
:04:42. > :04:47.is one group who were born in Somalia but who came to Norway at a
:04:48. > :04:52.relatively young age. They need people that are quite ignorant on
:04:53. > :04:56.Somalia. Which is dangerous, it will give them the chance of propaganda,
:04:57. > :05:04.and make them more dangerous when they return to their home country.
:05:05. > :05:09.This week, Somalis in Larvik came together to celebrate but this is a
:05:10. > :05:13.community under pressure. Police had been keeping tabs on Hassan Abdi
:05:14. > :05:17.Dhuhulow for some time. We showed the CCTV to his voted who did not
:05:18. > :05:26.want to appear on camera. I do know what I feel, they said. If it is
:05:27. > :05:31.him, he must have been brainwashed. That is what has emerged in Norway.
:05:32. > :05:40.What is the latest information from Nairobi?
:05:41. > :05:46.The information has come from the MP who chairs the Parliamentary
:05:47. > :05:51.committee investigating the Westgate shopping mall attack. This
:05:52. > :05:56.information, he gave to me just over an hour ago, he said that on
:05:57. > :06:02.Thursday, two bodies, very charred bodies, were pulled from underneath
:06:03. > :06:05.the rubble. And, in his words, it is highly likely that they are the
:06:06. > :06:13.bodies of two of the gun men. As you mentioned, to AK-47 assault rifles
:06:14. > :06:19.were also pulled out. Interestingly, those are not the kinds of rifles
:06:20. > :06:23.used by the Kenyan military. So, further pointing to a suggestion
:06:24. > :06:28.that these are the bodies of the gunman. As you said, we do not know
:06:29. > :06:34.for certain as yet, and there will be forensic tests carried out. The
:06:35. > :06:37.same MP also told me a third body was pulled out from under the
:06:38. > :06:46.rubble, and that, he said, was likely to be the body of one of the
:06:47. > :06:51.Kenyan soldiers who tried to end the four-day siege. It is quite
:06:52. > :06:55.surprising that about three weeks after the heavy lifting equipment
:06:56. > :07:00.went to the scene to try to lift up the concrete, the rubble which had
:07:01. > :07:04.descended after part of the shopping mall collapsed, it is surprising,
:07:05. > :07:08.three weeks on after that machinery was on the scene, we are still
:07:09. > :07:14.hearing about bodies being pulled out.
:07:15. > :07:19.What are the implications for the number of militants involved? It was
:07:20. > :07:27.ten - 15, it had been suggested only four people.
:07:28. > :07:33.The only evidence we have got comes from the CCTV footage. Over the last
:07:34. > :07:39.24 hours, once again it is just for men we are seeing on that CCTV
:07:40. > :07:43.footage. Obviously, quite shocking for many people that such havoc
:07:44. > :07:48.could be caused on this shopping mall, for four days, when it was
:07:49. > :07:52.only we understand for men who did it. The Kenyan authorities at the
:07:53. > :07:58.time of the siege, they said it was between ten and 15 gun men. I ought
:07:59. > :08:01.to add a lot of the information we were passed from the Kenyan
:08:02. > :08:10.authorities has proved to be incorrect as days have gone on.
:08:11. > :08:13.China has released its official GDP figures, and they showed that the
:08:14. > :08:18.economy sped up in the third quarter. The Chinese government will
:08:19. > :08:26.hit its growth target of 7.5% for the year. Now, that would be the
:08:27. > :08:29.slowest growth rate since 1999, in the aftermath of the Asian financial
:08:30. > :08:33.crisis. But still, some say it's uncanny how the government never
:08:34. > :08:36.misses the mark. There's more questions than ever about the
:08:37. > :08:38.reliability of Chinese figures. Our chief business correspondent Linda
:08:39. > :08:47.Yueh investigates the mystery of dodgy data.
:08:48. > :08:52.Numbers are important in China. And Chinese numbers are important to a
:08:53. > :08:56.world relying on China's growth. But, can we trust the numbers we are
:08:57. > :09:02.being given? This website has caused a clamour in China. The National
:09:03. > :09:07.Bureau of Statistics of China has begun to name and shame local
:09:08. > :09:10.governments who fake economic data. Over the past few months, a county
:09:11. > :09:18.in Guangzhou exaggerated industrial production by four times its actual
:09:19. > :09:21.value. And, on this web page, it says a county in one province has
:09:22. > :09:24.declared double the amount of output its companies are actually
:09:25. > :09:28.producing. Those companies have come back to say local governments made
:09:29. > :09:32.them do it. Either way, one thing is clear. Dodgy data in China has now
:09:33. > :09:40.been officially acknowledged. Unofficially, it has been talked
:09:41. > :09:43.about for a long time. Accusations that some local governments inflate
:09:44. > :09:46.the numbers to please a capital hungry for good economic results.
:09:47. > :09:51.Economist Chris Balding says growth might be half what the government
:09:52. > :09:58.says. I think most figures in China should
:09:59. > :10:02.be taken with a large grain of salt. Even in China, the Chinese populace
:10:03. > :10:09.treats them as art than science, or reliable indicators of reality.
:10:10. > :10:12.Statistics on construction, for example, might be over-reported. Or
:10:13. > :10:21.projects could be financed by debt that could cause problems later on.
:10:22. > :10:24.That's why even the Premier was reported to say he relied on
:10:25. > :10:27.indicators like the volume of goods being shipped by trains, because you
:10:28. > :10:33.count it independently. TRANSLATION: I don't think there's
:10:34. > :10:36.grounds to be suspicious. Generally, China's GDP figures are quite
:10:37. > :10:41.accurate, and it does reflect the truth of the Chinese economy.
:10:42. > :10:44.Maths and getting your numbers right is drilled into Chinese students
:10:45. > :10:49.from an early age. Not necessarily motivated by love of sums.
:10:50. > :10:56.Why is it important to you to get your sums right?
:10:57. > :11:10.I am scared of my mum, eight-year-old Hank tells me.
:11:11. > :11:13.Local authorities may fear they will be scolded for failing Beijing. But
:11:14. > :11:17.if the GDP figures aren't right, we're probably wrong about the scale
:11:18. > :11:22.of China's state too, and that would be a huge miscalculation.
:11:23. > :11:26.They're the worst bush fires for ten years in Australia's state of New
:11:27. > :11:27.South Wales. Fire fighters have witnessed flames 20 to 30 metres
:11:28. > :11:36.high. Look at the smoke over Sydney
:11:37. > :11:41.Harbour. Nearly 100 wildfires have raged in the country's most populous
:11:42. > :11:43.state. 20 are out of control. Australians live with the
:11:44. > :11:45.inevitability of bush fires in summer. But not this early.
:11:46. > :11:51.Temperatures have eased since Thursday. But, as summer builds,
:11:52. > :11:55.more hot weather is forecast next week. But it's still spring, so
:11:56. > :12:05.there are fears of a difficult summer fire season to come.
:12:06. > :12:09.So what do we know so far? Numbers are not yet precise. It's reported
:12:10. > :12:26.at more than 200 homes have been destroyed. At least three fire
:12:27. > :12:29.fighters are reported injured. Many worst-affected areas are here in the
:12:30. > :12:31.Blue Mountains, 70 kilometres west of Sydney, a much sought-after
:12:32. > :12:34.residential suburban area in glorious locations. 2,000 fire
:12:35. > :12:37.fighters are there working 24/7 to try to contain the fires. Meanwhile,
:12:38. > :12:40.Australian Prime Minister Tony Abbott, a volunteer fire fighter
:12:41. > :12:43.himself, has been to visit some of the worst-affected areas. He
:12:44. > :12:50.expressed his concerns that the fire could go on for time to come.
:12:51. > :12:54.Today is a much quieter day than yesterday. But this is a fire
:12:55. > :12:59.emergency which could go on for quite some time. There are hundreds
:13:00. > :13:08.of people who are grieving the loss of property, tragically there has
:13:09. > :13:14.been, it seems, one life lost further north. Someone who was
:13:15. > :13:21.defending his house. We grieve for everyone impacted by these fires.
:13:22. > :13:26.Neil Bibby is a retired fire chief now living in New South Wales, he
:13:27. > :13:32.joins us on Skype. Thank you for joining me. How well
:13:33. > :13:35.prepared these days is Australia? You went through Victoria where
:13:36. > :13:39.there were fires in this kind of season. We are far more prepared
:13:40. > :13:46.than before. One thing people come to realise is
:13:47. > :13:51.it is their responsibility as well as the Fire Service. It is a joint
:13:52. > :13:56.effort. Not just the Fire Service helping citizens. It is doing it
:13:57. > :14:00.together. What do you say as a former senior
:14:01. > :14:07.fire officer when you know people are moving into homes which will be
:14:08. > :14:12.this foldable in these locations? It is not just Australia, France,
:14:13. > :14:18.Spain, America, it is all over the place. People are moving here for
:14:19. > :14:26.lifestyle purposes. You need to understand what the risk is. There
:14:27. > :14:31.are four areas, three errors we should be aware of when you move
:14:32. > :14:35.into those areas. The first one is the construction of your home and
:14:36. > :14:40.how you can be protected from a fire. The second is understand the
:14:41. > :14:46.information that will come through, radio, TV, have batteries in your
:14:47. > :14:51.radio. Be aware of the websites where the local Fire Service put out
:14:52. > :14:56.messages, and on Twitter feeds. And, generally, prepare for what can
:14:57. > :15:05.be disasters, using things like current Twitter feeds which give you
:15:06. > :15:09.an understanding of what you should do in a disaster. It is a community
:15:10. > :15:25.that has to be prepared. you were fire chief for Victoria and
:15:26. > :15:30.were there until five years ago. How much did the Victorian mentality
:15:31. > :15:36.change after nearly 200 people were killed?
:15:37. > :15:43.The change that has taken place over the last two years, not just with
:15:44. > :15:50.fires, but with climate change coming in, and we understand the
:15:51. > :15:57.fires we are getting now are going to be the future for Australia and a
:15:58. > :16:00.lot of other places. Therefore, be prepared and start to build
:16:01. > :16:08.appropriately in those areas is one of the changes. Thank you very much
:16:09. > :16:17.for joining me live. Stay with us here, still to come: We meet the
:16:18. > :16:21.real $6 million man. Although he probably did not cost that much, and
:16:22. > :16:28.his name is Frank and he is the world's first bionic man.
:16:29. > :16:34.Nearly 200 migrants have been rescued from the Mediterranean in
:16:35. > :16:38.two separate operations. The Italian coastguard and the US Navy both
:16:39. > :16:44.pulled people from the sea in rough conditions. Italy has increased the
:16:45. > :16:48.size and scale of monitoring, particularly around the island of
:16:49. > :16:54.Lampedusa after the deaths of more than 300 people just off the coast
:16:55. > :16:58.couple of weeks ago. This coastguard cutter is in
:16:59. > :17:03.Harborough right now, but she spends much of her time out at sea on the
:17:04. > :17:09.hunt for those boat loaded with migrants that come up from the
:17:10. > :17:13.Libyan or Tunisian coast, boats that our unseaworthy and overcrowded,
:17:14. > :17:18.exactly the kind of vessels that were involved in those catastrophic
:17:19. > :17:24.sinkings in recent weeks of these islands, thinking is that cost
:17:25. > :17:28.hundreds of lives. Here on the bridge on the chart a desk you get a
:17:29. > :17:34.sense of the sea area we are talking about. There is Sicily and here is
:17:35. > :17:42.the post of Tunisia and that is Libya. That is Lampedusa island.
:17:43. > :17:46.This coastguard cutter is looking to intercept in this area boat loaded
:17:47. > :17:57.with migrants coming up mostly from Libya. When we intercept these
:17:58. > :18:02.ships, that are in general little fishing vessels made of wood, or a
:18:03. > :18:11.little rubber boats, if the situation is dangerous, we take
:18:12. > :18:20.immediate action in order to keep these boats near to our ship. We
:18:21. > :18:27.keep all the migrants on board our ship. When this coastguard vessel
:18:28. > :18:33.finds a boat packed with migrants in need of rescue, it would normally
:18:34. > :18:37.launch one of its rubber dinghies. Just imagine the scene. It might be
:18:38. > :18:43.at night, the sea might be rough, there might be hundreds of migrants
:18:44. > :18:50.desperate to be picked up, moving around in a chaotic way on an
:18:51. > :18:56.already sinking boat. The moment of rescue is sometimes the most
:18:57. > :19:01.dangerous. There could be a risk of capsize or migrants spilling into
:19:02. > :19:07.the sea around the Dinky. This is BBC world News. The
:19:08. > :19:11.headlines: one of the men suspected of carrying out last month's attack
:19:12. > :19:18.on a shopping centre in Kenyan has been identified as a Norwegian
:19:19. > :19:22.citizen. Meanwhile, two bodies found at the site may be those of
:19:23. > :19:27.Al-Shabab terrorists. One man has died and dozens of homes
:19:28. > :19:31.have been destroyed or damaged in the Australian state of New South
:19:32. > :19:36.Wales. The fires are the worst in the state for ten years.
:19:37. > :19:41.Imlay 's emergency workers have recovered at least 17 bodies on the
:19:42. > :19:47.record -- wreckage of a plane which crashed into the Mekong River
:19:48. > :19:50.earlier this week. The Lao Airlines plane went down in severe weather
:19:51. > :19:56.and nobody is thought to have survived.
:19:57. > :20:01.Beneath these murky waters lies much of the wreckage and many of the
:20:02. > :20:06.bodies. Teams of divers and rescue crews scoured the vast waterway, but
:20:07. > :20:12.the Mekong River is deep and the current is strong. TRANSLATION: I
:20:13. > :20:19.think the diving will be difficult. It is a very fast flowing river from
:20:20. > :20:23.the current. There is no hope of finding survivors now. There were 49
:20:24. > :20:29.people on board and they came from all over the world. It is still not
:20:30. > :20:33.clear what called the crash, but it is believed the plane ran into
:20:34. > :20:38.strong winds before it struck the river and plunged into the water. It
:20:39. > :20:44.was due to land just 70 kilometres away. For those who had relatives on
:20:45. > :20:50.board the weight is excruciating. Some have gathered in a local hotel
:20:51. > :20:55.waiting for news. This man was at the airport to meet his brother when
:20:56. > :20:59.he heard a plane had gone down. TRANSLATION: I could not sleep at
:21:00. > :21:04.all after I heard what happened. I am still very shocked. I advised him
:21:05. > :21:10.not to come because of the heavy rain, but he still got the plane. A
:21:11. > :21:15.makeshift morgue has been set up in the nearby temple, but most of the
:21:16. > :21:18.bodies are thought to be submerged in the nearby waters, trapped under
:21:19. > :21:25.the wreckage. Have you met Frank? He might not be
:21:26. > :21:30.the $6 million man, but he is the closest thing so far to a real
:21:31. > :21:35.bionic man. He is built entirely from synthetic versions of real body
:21:36. > :21:48.parts. He has just gone on show in Washington.
:21:49. > :21:54.Add more than six feet high, this is Frank, the most advanced bionic man
:21:55. > :22:04.in the world here at Washington's DC Smithsonian Museum. He has
:22:05. > :22:11.artificial body parts, including a parking at a pumping heart. Tell me
:22:12. > :22:16.the purpose of Frank. It was to find out how far bionic technology has
:22:17. > :22:21.come already. What happens if we get all of the spare parts for the human
:22:22. > :22:26.body that exist today and put them together in one piece. This is what
:22:27. > :22:32.it would have looked like. We have an artificial heart that is already
:22:33. > :22:37.used on patients. That Palm is artificial blood that can give of
:22:38. > :22:41.oxygen like real blood. We have the first prototype of an artificial
:22:42. > :22:51.lung. The spleen for cleaning the blood, and an artificial kidney. How
:22:52. > :22:56.close is this to a real human? It is still very far away from a real
:22:57. > :23:01.human. Despite showing how far bionic technology has come, this
:23:02. > :23:07.project also shows us how little advancements have been made in other
:23:08. > :23:12.areas. We were unable to find a replacement for the brain, for
:23:13. > :23:19.examples. The most advanced piece of software we found was very thick.
:23:20. > :23:24.Frankie can actually talk as well. I am interviewing the world's first
:23:25. > :23:32.bionic man. Frank, will there be a bionic woman? I hope so. A companion
:23:33. > :23:37.would be great, but unfortunately I am missing a fewer important parts.
:23:38. > :23:46.He has also got a sense of humour. Will there be a day when bionic
:23:47. > :23:50.people replace humans? Currently all of my parts are supposed to benefit
:23:51. > :23:58.humans, not replace them, but even robots have dreams. Thank you very
:23:59. > :24:02.much, Frank. He is looking for a partner, so bionic woman on the
:24:03. > :24:11.lookout. Does Frank ever have two sleep? Do you ask why do I have two
:24:12. > :24:15.spent hours sleeping? Researchers in the US say they have identified one
:24:16. > :24:20.of the fundamental reasons which is all to do with brain recovery.
:24:21. > :24:24.Scientists at the University of Rochester say experiments on mice
:24:25. > :24:31.suggest the brain uses sleep to flush out waste toxins which build
:24:32. > :24:35.up when we are awake. One researcher said, our brains are like the hosts
:24:36. > :24:42.at a party. They can either entertain the guests or clean up the
:24:43. > :24:45.mess, but not both at the same time. Let's speak to Professor Russell
:24:46. > :24:54.Foster from the University of Oxford. Let me put you what the
:24:55. > :25:01.University of Rochester has said. This cleaning mechanism is like a
:25:02. > :25:06.dishwasher. What does he mean? What he is talking about is the brain and
:25:07. > :25:11.the body generally has to do lots of housekeeping functions. In this
:25:12. > :25:15.recent paper from Rochester is a super study showing there is another
:25:16. > :25:24.thing going on during sleep, and it is the clearance of toxins. Lots of
:25:25. > :25:29.other things are going on, like memory and information processing.
:25:30. > :25:33.If you want to come up with solutions to complex problems, a
:25:34. > :25:38.night of sleep is shown to be incredibly important for that. This
:25:39. > :25:45.is yet another import an example of lots of things going on during
:25:46. > :25:49.sleep. Is it only about the brain? We are off-loading toxins when we
:25:50. > :25:58.are snoring? Most of the emphasis has been on what has been going on
:25:59. > :26:03.in the sleeping brain? But this is showing what has gone on in the
:26:04. > :26:07.brain and the general circulation. It emphasises sleep is not just
:26:08. > :26:14.something going on in the brain, but an entire body function. We have 30
:26:15. > :26:18.seconds. Is it the question of the longer you sleep the more toxins you
:26:19. > :26:24.get rid of through that dishwasher while you are in bed? It will
:26:25. > :26:28.depend. During the first few hours is when you get rid of most of them
:26:29. > :26:33.and after that it does not matter very much and something else is
:26:34. > :26:38.going on. I suspect a lot of the clearance goes on during the first
:26:39. > :26:43.few hours and after that it is less. But if you had a massive build up of
:26:44. > :26:50.toxins, you will need a longer time to get rid of them and that might
:26:51. > :26:56.change with age as well. That is a remarkable breakthrough. There have
:26:57. > :26:59.been developments in Nairobi with two bodies found at the Westgate
:27:00. > :27:10.shopping centre. He's the one that's going to present
:27:11. > :27:14.us with the ten grand WHEN we win it.