Category: tcmdb


Kwakiutl launch two days of action to assert rights over territory


first_imgAPTN National NewsThe people of Kwakiutl First Nation on Vancouver Island are taking part in a major demonstration.They’re protesting what they say is the government’s lack of respect for the community’s claim over traditional territories.On Wednesday, during the first two days of protests, they’ve occupied the property of a logging company.APTN National News reporter Rob Smith was there.last_img


Prosecutor Mans drink scam defrauded NeYo Brian McKnight


first_imgCINCINNATI – A New Jersey man is accused of running a multimillion-dollar scam that bilked singers Ne-Yo and Brian McKnight, who invested in a sports drink company.Kevin Foster, of Montclair, faces 16 charges including wire fraud, money laundering, bankruptcy fraud and tax evasion.Six of those charges were added Tuesday in the U.S. District Court for the Southern District of Ohio.Foster, who served as Ne-Yo’s business manager, is accused of convincing the star to invest $2 million in a drink called OXYwater. Prosecutors say the 42-year-old Foster didn’t disclose that he served as a controller for the business or that he earned commission on investments.Prosecutors say Foster pulled a similar scheme on R&B star McKnight to keep the business solvent.A message seeking comment from his attorney wasn’t immediately returned Thursday.last_img read more


Apple, CVS Health rise; Molson, Garmin fall


NEW YORK — Stocks that moved substantially or traded heavily on Wednesday:Apple Inc., up $9.85 to $210.52The iPhone maker beat Wall Street’s first quarter profit forecasts and raised its quarterly dividend.CVS Health Corp., up $2.95 to $57.33The drugstore operator blew past first quarter profit estimates and raised its profit forecast for the year.Royal Caribbean Cruises Ltd., up $8.09 to $129.03The cruise line operator had more passengers boarding its ships during the first quarter, pushing profit above Wall Street’s forecasts.Groupon Inc., up 12 cents to $3.64The online daily deal service’s first quarter loss wasn’t as severe as Wall Street anticipated.Garmin Ltd., down $5.68 to $80.06The maker of navigation devices gave investors a weak profit and revenue forecast for the year.Nu Skin Enterprises Inc., up $13.45 to $64.32The skin care and nutritional products company beat earnings forecasts for the first quarter and gave investors solid forecast for the year.Hilton Worldwide Holdings Inc., up $5.61 to $92.60New hotel openings helped lift first-quarter profit and revenue for the hotel operator and it raised its forecast.Molson Coors Brewing Co., down $4.84 to $59.35The beer maker reported lower volume during the first quarter that weighed on revenue and its profit fell short of forecasts.The Associated Press read more


Despite challenges Burundi can give lesson in democracy to others – UN


10 May 2010After decades of ethnic war in which hundreds of thousands of people died, Burundi has the chance to set a new standard with its upcoming elections for peace and democracy in the broader region despite significant challenges, the top United Nations envoy in the Central African country said today. “This is a historic moment for Burundi and the region, marking the end of its transition,” Secretary-General Ban Ki-moon’s Executive Representative Charles Petrie told the Security Council. “In 2005 Burundi held elections that led to the installation of a democratically-elected Government.“Now, in 2010, Burundi is set to give an extraordinary example of political maturity. A country until recently embroiled in internal violence is now hopefully on the verge of demonstrating how one democratically-elected government cedes place to another,” he added, stressing the need for security and warning against violence and intimidation. In a press statement issued following the meeting, the Council welcomed progress made so far and called on all sides “with the support of the international community, to remain vigilant in order to prevent any risk of violence, especially between youth groups.” With all sides voicing cautious optimism for the polls, Mr. Petrie pledged continued and close UN engagement “to ensure that this cautious optimism is translated into reality,” noting that the budget is all but met for the four-month, five-stage elections – communal on 21 May, presidential on 28 June with a second round in July if necessary, legislative, senatorial, and sub-communal. More than 3.5 millions voters have registered, well above expectations, he said. There are 17 presidential candidates, 15 with party affiliation and two independents. “Security during the electoral period is a key priority for the Government and its partners,” he stressed, noting that multiple international observers will be deployed.“Despite all of these positive developments to date, I would not pretend that significant challenges do not remain,” he warned. “The challenges ahead relate particularly to the tightness of the electoral calendar and to management of tensions that may arise on the day of the elections, as results are announced or in the resolution of any subsequent disputes.” A UN task force will closely monitor and react to any contingency needs for logistical or other support from the independent national electoral commission. While violence associated with the youth groups of the various parties has started to decrease, isolated incidents continue and “we must all watch vigilantly to ensure, with the formal electoral campaign now under way, that such violence does not re-emerge as a significant threat,” he stressed.He cited the UN’s “long and important role” in helping to prepare the ground for the elections by coordinating international aid, conducting field monitoring, helping to narrow the electoral funding gap, assisting identity card delivery, and building capacity in security, human rights, media and gender-based aspects of the electoral process.“The forthcoming elections will represent the culmination of almost two decades of hard work in the cause of peace by the people of Burundi, their political leaders, the leaders of the region and the African continent, and supported by us, Burundi’s friends and partners at the international level,” Mr. Petrie declared.“I would like to reiterate that the elections in Burundi are not only significant for the country but also for the sub-region. In that region, many of its close and less close neighbours are also embarking on challenging electoral cycles. We believe that successful and peaceful elections in Burundi would raise the bar and set the true standards for remarkable progress in the rest of the broader region.”He also looked ahead to the socio-economic, political and security challenges that will still need to be addressed. “Continued close engagement by the wider international community will remain crucial to ensure that the gains achieved are irreversible and that the country continues on its path of economic recovery and sustainable development,” he concluded, noting that the Government is already discussing with the UN what form the world body’s future engagement should take. Deputy Ambassador Heidi Grau of Switzerland, speaking for the UN Peacebuilding Commission’s Burundi focus group, also cited the challenges posed by the elections despite the group’s positive assessment of the overall situation. “We do not close our eyes at the numerous pitfalls and challenges awaiting Burundi on its way to consolidated peace,” she said.She cited organizational problems that have been overcome, as well as “widespread concern at political groups spreading fear and intimidation.” The Government has stressed its willingness to tackle the issue.Burundi was torn by ethnic conflict between majority Hutus and minority Tutsi, much like its northern neighbour Rwanda, site of the 1994 genocide, for nearly five decades since it became independent from Belgium, and Ms. Grau stressed that the country, one of the world’s poorest, will need investment far beyond the more than $40 million used for the election. Urgent needs include the social and economic integration of the hundreds of thousands of internally displaced persons (IDPs), returnees and demobilized fighters, as well as investment in infrastructure and agricultural projects to provide jobs for millions living in poverty.“The Peacebuilding Commission should stand ready to help in building partnerships with international financial institutions, with regional entities and with representatives of the private sector,” Ms. Grau said.Burundian Permanent Representative Zacharie Gahuti called for additional funds to plug the remaining gap for the elections, and stressed that help was needed for long-term development goals.“We are also resolutely decided to ensure we have free, transparent and peaceful successful elections,” he said. We did this in 2005 and we promise the international community that we are going to repeat this task in Burundi and we are going to make Burundi a centre of peace and successful democracy for the African continent, and particularly in our sub-region.” read more


In breakthrough agreement UN agency to resume food aid in DPR of


The United Nations World Food Programme (WFP) said today it would resume aid in the Democratic People’s Republic of Korea (DPRK) within two weeks after reaching an accord in months of negotiations on new working arrangements, including some on-site monitoring, following the Government’s decision last year to end emergency assistance.“This is an important breakthrough. WFP and the DPRK have agreed on the terms of implementation for our new operation,” WFP’s Regional Director for Asia Tony Banbury said in Beijing after a two-day visit to the DPRK during which he signed the $102-million two-year deal to support 1.9 million people, mostly women and children. He appealed to international donors to contribute. Over the past decade the DPRK has suffered the effects of devastating droughts and floods as well as the impact of economic changes that led to a steep rise in market prices of basic foods and sharply lower incomes for millions of factory workers made redundant or employed part-timeWFP ended 10 years of emergency aid – during which it mobilized more than 4 million tons of food valued at $1.7 billion to support up to one-third of the population of 23 million – in December after the Government, citing better harvests and domestic concerns about the emergence of a dependency culture and the intrusiveness of monitoring, said it would accept only assistance addressing medium- and long-term needs.In February the Agency drew up plans for the new operation, which Executive Director James Morris said depended on reaching agreement on issues such as access to people in need and the ability to monitor donations.“We have worked hard to reach this point, now we have signed the deal, and we can re-start our food aid operations immediately,” Mr. Banbury said of the accord, which provides for 10 resident international staff to oversee the operation, four of them full-time field workers, while others such as the Country Director will regularly travel to the field. WFP staff will visit beneficiary hospitals, orphanages, nurseries, kindergartens, primary schools, Public Distribution Centres and food-for-work sites to assess the impact of assistance and the nutritional status of recipients. “We have negotiated the best possible terms under the circumstances. It’s not everything we wanted, but it’s a sound base to get started on again – and to build on. WFP will maintain our long-standing policy of ‘no access, no food.’ We have made that clear to the government,” Mr. Banbury said. “WFP will still reach more North Koreans and have better field access than any other aid agency in the DPRK. A continued presence will allow us to scale up the level of support, if that becomes necessary. In the end, we decided that it was better to stay in North Korea and help 1.9 million people under the new circumstances, than to walk away and leave behind people who really needed our assistance,” he added.While malnutrition rates have fallen considerably since the late 1990s, they are still relatively high. The most recent large-scale survey, conducted in October 2004 by WFP, the UN Children’s Fund (UNICEF) and the Government, found that 37 per cent of young children were chronically malnourished, and one-third of mothers both malnourished and anaemic.Many North Koreans struggle to feed themselves on a diet critically deficient in protein, fats and micronutrients, and the new operation will combat this shortfall and boost grassroots food security, building on gains achieved during the decade of emergency aid. read more


StatsCan new home price index up 01 per cent in July


OTTAWA – Statistics Canada says its new housing price index rose 0.1 per cent in July, following a 0.2 per cent increase in June.The agency says the Calgary area was the top contributor to the advance as builders reported higher material and labour costs.It says the largest monthly price jump in July came in St. John’s, NL, where prices were up 0.6 per cent.On a year-over-year basis, the price index rose 2.3 per cent in the 12 months to July, following a similar year-over-year increase the previous month.Higher prices in the combined metropolitan regions of Toronto and Oshawa were the main contributors to this increase.The largest year-over-year increases in contractors’ selling prices occurred in Regina, where they rose 4.7 per cent and Toronto and Oshawa, where they were up 4.6 per cent. by The Canadian Press Posted Sep 13, 2012 9:09 am MDT AddThis Sharing ButtonsShare to TwitterTwitterShare to FacebookFacebookShare to RedditRedditShare to 電子郵件Email StatsCan new home price index up 0.1 per cent in July read more


Three multinationals join UN global network on disability inclusion


“People with disabilities constitute some 15 per cent of the world’s population,” pointed out Guy Ryder, Director-General of the UN International Labour Organization (ILO), at the annual meeting in Geneva of the Global Business and Disability Network. “In striving to achieve full and equal rights and participation in society for all women and men with disabilities, we are pleased to forge and strengthen such as the Global Business and Disability Network,” he added. The Network serves as a platform for companies for peer-to-peer support on disability inclusion policies and practices, with the goal to promote the recruitment and retention of people with disabilities in the private sector, including in developing countries. Participants at the meeting discussed the business case of digital accessibility and how to become more accessible for employees and clients with disabilities. Moreover, the meeting showcased good business practices on advertising that is inclusive and contributes to a positive image of persons with disabilities. The meeting, among other things, also highlighted ways to prepare companies for the future of work by addressing their internal skills gaps through tapping into the professional potential of people with disabilities. Representatives from Capgemini, Legrand and the Savola Group, together with other disability champions among the business community, also shared their success stories and challenges in putting principles of the Network into practice. read more


Letter from Brazil Netherlands big orange bus rumbles on as Spain fall


first_imgTHE FACT HE was dressed as some sort of androgynous matador-cum-flamenco dancer accentuated his trip but when the drunk Spanish fan fell, he fell hard.Just like his team.The steep, cobbled streets of Salvador are hard to negotiate at the best of times but they become treacherous when it’s raining heavily and you’ve had a few cervezas too many after your beloved national team have taken the mother and father of all spankings.All around the grounded Spaniard were delirious Dutch fans, seemingly gliding over the surface of the sheer Place Quincas Berra D’Agua like Arjen Robben on rollerskates. It was that sort of night for the Dutch, who took over the Old Town centre in the wake of their side’s incredible 5-1 tonking of the World Champions.Nothing can make up for losing a World Cup final but last night’s display at Arena Fonte Nova will go a long way to salving the Netherlands’ pain of four years ago in Johannesburg.Arjen Robben’s miss notwithstanding, it is hard to make a case for the Oranje deserving to win that bad-tempered match at Soccer City, but last night they were undoubtedly the better team.However, this time it was Spain’s turn to rue a poor miss and had David Silva shot low and hard instead of trying to chip the ball over Jasper Cillessen, we might not now be contemplating the end of an era. The Oranje’s double decker bus is headed for Porto Alegre. Source: ADELLE HUGHESThe Dutch defended the resulting corner and two minutes later equalised through a Robin Van Persie diving header so spectacular that many of the 48,173 in attendance had to check the replay on the big screens before they could believe their eyes.Stranded in no man’s land, Iker Casillas has to take part of the blame for that goal — as he must for two others (even if he was impeded by Van Persie for Stefan De Vrij’s close range effort) — but it was Gerard Pique, dawdling four yards behind his partner Sergio Ramos, who was playing the Manchester United man onside.At 27, Pique is younger than many of the players central to Spain’s success since 2008 but he seems to be slowing at a similar rate to Xavi Hernandez, Casillas and Fernando Torres.The one Spanish phrase I learned last night was “muy despacio” as myself and one crestfallen fan discussed how very, very slow Arjen Robben made Ramos look in the foot chase that led to his second goal, the Netherlands’ fifth.The argument has been made that the inclusion of Diego Costa makes Spain more direct and while there were more through balls from distance (as opposed to long balls) yesterday than Vicente Del Bosque’s team are known for, theirs was still a game of possession, the “tiki-taka” by which Xavi said they would “win or die”.Last night they died a death of a thousand brutal cuts. After taking the lead through a Xabi Alonso penalty, questionably awarded after Costa conned the referee with a judiciously-placed trailing leg, Spain reverted to type. They instantly dropped back and ceded swathes of territory and allowed the Dutch more time on the ball. The streets of Salvador were oranje last night. Source: ADELLE HUGHESBut their defence is no longer a cliff on which opposing offences crash and Louis Van Gaal’s hard-working team were turning over possession high up the pitch and looking to send Robben and Van Persie away at a moment’s notice.Spain need to either sit deeper or add some speed to the centre of their defence in the form of Sergio Martinez, but either way anything less than a victory against a Chile team that will test that defence in Rio de Janeiro on Wednesday and they are contemplating, at best, a second round meeting with Brazil.For the Dutch, the big orange bus now rumbles on to Porto Alegre, quite literally. The focal point for the Netherlands’ cartoonishly colourful and rowdy fans last night was a double decker bus, which was leaving the party early to set forth on the mammoth 3,000-kilometre trip to the southern city where Spain play Australia on Wednesday.The Oranje have taken to the fast lane while the reigning champions are left on their backside in the rain facing either a swift descent or a slow, difficult climb back to the top.‘Red shame’: How the Spanish press reacted to yesterday’s devastating loss to Holland5 talking points from Holland’s crushing defeat of Spainlast_img read more


Fans suit up for I Like Comic Con


first_imgThe weekend’s inaugural I Like Comic Con was such a success, said Chris Simons, organizer and owner of the eponymous comics shop in downtown Vancouver, that he’s already planning for next year.“It looked like we were going to be the ‘critical darling,’ you know? The one that everybody loves but they don’t really make any money,” Simons said.The final count wasn’t available Sunday afternoon, he said, but Simons and his organizing partner Royce Myers estimated the two-day event at the Clark County Event Center saw 6,000 to 8,000 guests.That level of success is unheard of for a first-year show, the two said, and it will definitely return next year.“Thankfully, we have seemed to tap into some vein of fandom out there because our attendance has been really good,” Simons said. “People are really excited about it, and that makes all the creators and all the exhibitors realize, ‘Hey, this isn’t just like the cool factor you get from going to see a movie with subtitles, this is the real deal.’”Fans mingled with other guests — some dressed as their favorite characters from whatever franchise; perused vendor booths — from mobile tattoo parlors to collectible toys and classic comic books; and, key to the weekend, mingled with comics artists and creators.last_img read more


Sealaska Corporation announces multimillion dollar deal to keep trees in the ground


first_imgAlaska was invited to participate in the California cap-and-trade market in 2015 after lobbying from the Chugach Alaska Corporation. Chugach is also working on developing its own carbon offset credits. (Creative Commons photo by Xa’at)Big greenhouse gas emitters in California are now able to buy carbon offset credits based in Alaska. The Southeast regional Native corporation Sealaska is using some of its lands for carbon sequestration. Thousands of acres of old growth trees will stay intact for over 100 years. It’s the first carbon bank in the state to be approved for the market.Listen nowSealaska says its another way of securing a future for shareholders.On the fourth floor of Sealaska Plaza, there’s a board room with an amazing view. A long glass window overlooks the Gastineau Channel. Beyond that, you can see a canopy of evergreens.Anthony Mallott gestures to the landscape.“We think we live in a very protected, amazing sacred place on this Earth,” Mallott said. “But there’s room for economic activity.”Anthony Mallott in his Juneau office. (Photo by Ed Schoenfeld, CoastAlaska News)Mallott is Sealaska Corporation’s President and CEO. At 42 years old, he’s one of the younger leaders. This morning he went skiing. But he jokes he doesn’t always feel so youthful with a bad knee.Mallott began working at Sealaska over a decade ago.“I started in a time period where we could see effectively the end of our timber harvests without getting additional new lands,” Mallott said.The corporation manages around 360,000 acres in Southeast Alaska, and Mallott says developing the natural resources, like timber, was an important part of creating the first dividends for its shareholders.But Mallott says the original land allocation Sealaska received only represents a small part of the region.“It wasn’t the be all and end all,” Mallott said. “It was something that allowed us to move forward. But it hasn’t fulfilled all the expectations.”The corporation is expected to make money for its shareholders. But it’s already cut close to a third of its trees, and not all of the sites left are ideal for logging, like old growth stands next to salmon streams.So, Mallott says the corporation faced a challenge. How do you protect those sensitive areas and still make money for shareholders?“It was really the need to stretch our harvest and diminish our harvest from a higher level that put us in this framework thinking, ‘OK, what really is sustainability for Sealaska?” Mallott said.Enter the California cap-and-trade program.Basically, big polluters in the Golden State receive an allowance to release a planned amount of carbon each year. For anything over that cap, companies need to buy additional permits. They can also purchase carbon credits to help negate harmful emissions, and those credits represents an actual, tangible thing: carbon stored in trees — in this case, trees belonging to Sealaska.Mallott says carbon sequestration looked like the right opportunity. The money generated would help shareholders and nearly half of the trees on Sealaska land could stay in the ground.Mallott is quick to point out this land isn’t locked up. The corporation can can still develop parcels for tourism or mineral exploration.Mallott says the project has already attracted a buyer. It’s too early to put a dollar figure on the deal. But he thinks the amount could be huge.“Multiple millions,” Mallott said. “The financial benefit of this is very significant for Sealaska.”In the past, conservation groups have been critical of the rate Sealaska has clear cut its forests.Buck Lindekugel is a grass roots attorney for the Southeast Alaska Conservation Council, and he says that old model of logging doesn’t make sense for the region’s economy today. He welcomes the corporation’s new venture.“We’re excited that Sealaska is seizing this opportunity to explore those options,” Lindekugel said. “We think it’s good for their shareholders, and it’s certainly good for all of us who care about the forest.”But Mallot says Sealaska has always cared about sustainability and the bottom line.“The carbon project. Is it a shift? It’s a recognition in the way we’ve always thought,” Mallott said.Mallott says the corporation isn’t going to stop logging on its remaining land. But it’s also planning to allocate more acreage to carbon sequestration in the near future.As for what happens to the trees after the 110 years is up, Mallot says that’s up to a younger generation to decide.last_img read more


10 dead scores missing after India mine collapse


first_imgPeople gather near the site of a coal mine collapse near Lalmatia in Godda district, in eastern Jharkhand state on December 30, 2016. Photo: AFPRescuers pulled out two more bodies Friday from the rubble of a collapsed coal mine in eastern India, taking the death toll to 10, police said, as many were still feared trapped.A massive mound of earth caved in late Thursday at the Lalmatia open cast mine in Jharkhand state, burying at least 23 miners and dozens of vehicles as hundreds of workers battled overnight to rescue them.“Up till now, 10 bodies have been recovered after two more were pulled out. Coal mine authorities believe that there may be 2-3 more dead bodies inside,” Jharkhand police spokesman, RK Mallick, told AFP.“Total dead should not be more than 13 or 14, as per assessment.”He added that it was difficult to know how many may be trapped, but said close to a dozen were still unaccounted for.Some of the workers had escaped the disaster site following the collapse, Mallick said, with unconfirmed media reports putting the number trapped at 50.Images showed the dead covered with white sheets on makeshift quilts as colleagues and locals looked on at the rescue efforts.Police and emergency workers used sniffer dogs, earth movers and their bare hands to remove giant rocks and mangled, overturned trucks to locate the trapped workers under tons of earth.Prime Minister Narendra Modi expressed his grief on Twitter, promising to help the state government in its rescue operations.“Saddened by the loss of lives at a mine in Jharkhand. My prayers are with those trapped inside,” he said.Federal disaster and rescue authorities have dispatched more than 200 rescue workers to the site.The mine is operated by the government-owned Eastern Coalfields Limited. Its top official, Niladri Roy, told AFP that more than 250 metres (820 feet) of the mine collapsed as workers headed towards the exit around 7:30 pm Thursday.There was no immediate explanation for the collapse, but the government has launched an investigation into the “unprecedented” incident.In a separate incident on Thursday, four miners were injured at a government-run coal mine in Jharkhand’s Dhanbad district.A mine official said the workers were hit after the roof of the Putki Balihari coal mine partially collapsed. Two of the workers were critically injured.Jharkhand is one of the richest mineral zones in India, accounting for around 29 percent of the country’s coal deposits. However it is also one of India’s poorest areas and the epicentre of a Maoist insurgency.India has maintained a relatively safe record in mining-related accidents compared to neighbour China, which on average reports around 1,000 fatalities every year.In 2015, India recorded 38 deaths across 570 mining sites.The last major mining accident in India occurred in 1975, when 372 workers were killed following the flooding of Chasnala mine in Dhanbad.last_img read more


Researchers build robot rat to induce stress in lab animals w Video


first_img More information: via NewScientist Such experiments offer insight into how rats react when confronted with a menacing robot rat in their midst—what is not yet clear, however, is how closely their reactions predict those of humans placed under similar conditions. Smelling a rat to catch a rat Citation: Researchers build robot rat to induce stress in lab animals (w/ Video) (2013, February 13) retrieved 18 August 2019 from https://phys.org/news/2013-02-robot-rat-stress-lab-animals.html PausePlay% buffered00:0000:00UnmuteMuteDisable captionsEnable captionsSettingsCaptionsDisabledQuality0SpeedNormalCaptionsGo back to previous menuQualityGo back to previous menuSpeedGo back to previous menu0.5×0.75×Normal1.25×1.5×1.75×2×Exit fullscreenEnter fullscreen (Phys.org)—Researchers at Waseda University in Japan have built a robot rat they call WR-4, and whose purpose isto induce stress in lab rats. In studying the impact of stress inflicted on the lab rats, the researchers hope to learn more about how stress affects people. Playcenter_img © 2013 Phys.org Scientists have used rats in all manner of lab experiments over the years—sometimes to see how therats react physically to drugs, other times to see how they behave under certain specified conditions,and sometimes to create mental ailments that mimic those found in the human population. Thepurpose of such experiments is to learn how drugs or environmental conditions affect the rats, and then to apply those results to the better understanding of the similar human conditions.The Japanese researchers had many goals in mind when building WR-4. They hoped to understand how mice react to living with a robot, and to theorize how humans might react under comparable circumstances. In addition, the researchers wanted to determine which types of aggressive actions by the robot would induce depression in the rats (as demonstrated by rats that become less active), with the purpose of developing therapies to address the depression.The robot rat is approximately the same size as a regular white rat, and has front legs and feet for steering. In back, it has motorized wheels to help it maneuver. In one series of experiments, the researchers programmed WR-4 to operate in three different modes: chasing, where it simply follows a rat; a continuous attack, where the robot attacks a rat in a non-violent, non-stop fashion for a period oftime; and an interactive attack, where it attacks in a non-violent way only when the target moves. In this study, the researchers found that the interactive attack most successfully instigated the rats’ symptoms of depression.In another series of experiments, researchers stressed rats by putting them in difficult situations, such as having to rely on the robot rat for their food, or having to manipulate the robot physically to get its food.In one test, the robot was programmed to whirl about in random fashion, causing at least one subject rat to attempt to hide. Credit: Takanishi Lab/Waseda University Explore further This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.last_img read more


Highly magnified gravitationally lensed red quasar detected by astronomers


first_img Citation: Highly magnified gravitationally lensed red quasar detected by astronomers (2018, July 26) retrieved 18 August 2019 from https://phys.org/news/2018-07-highly-magnified-gravitationally-lensed-red.html Explore further Astronomers have discovered a highly magnified, gravitationally lensed quasi-stellar object (QSO). The newly found quasar, designated W2M J104222.11+164115.3, is dust-reddened, and exhibits a significant flux anomaly. The finding is reported in a paper published July 14 on the arXiv pre-print server. Quasars are active galactic nuclei of very high luminosity, emitting electromagnetic radiation observable in radio, infrared, visible, ultraviolet and X-ray wavelengths. They are among the brightest and most distant objects in the known universe, and serve as fundamental tools for numerous studies in astrophysics as well as cosmology. Some quasars are obscured by dust as they transition from a heavily dust-enshrouded phase to typical, unobscured QSOs, which reddens their light. Finding quasars during such a transition could help astronomers better understand the processes of galaxy evolution and star formation.A group of astronomers led by Eilat Glikman of the Middlebury College in Middlebury, Vermont, has conducted a search for red quasars by analyzing the available data from the WISE and 2MASS (W2M) surveys. They were selecting objects based on their infrared colors, which resulted in identifying 40 red QSOs. Among the newly found objects was one quasar designated W2M J104222.11+164115.3 (W2M J1042+1641 for short). This QSO interested the researchers as it was more luminous than any other known radio-quiet quasar and implied extreme properties suggestive of gravitational lensing.”In this paper, we report the discovery of a quadruply lensed, radio-quiet red quasar discovered in a search for red quasars using WISE color selection and no radio criterion,” the paper reads.In order to get more detailed information about W2M J1042+1641, Glikman’s team also analyzed observational data of this quasar collected by Hubble Space Telescope (HST), Large Binocular Telescope (LBT), NASA Infrared Telescope Facility (IRTF) and Keck I telescope.W2M J1042+1641 was found at a redshift of 2.517. According to the paper, the quasar has an infrared luminosity of about 120 trillion solar luminosities and is moderately reddened from dust intrinsic to its environment. The researchers noted that W2M J1042+1641 exhibits outflows in its spectrum as well as morphological properties suggestive of it being in a merger-driven transitional phase. Moreover, the quasar showcases significant flux anomaly as its 20 cm flux density was found to be below 1.0 mJy.In concluding remarks, the researchers emphasized that the case of W2M J1042+1641 could be helpful for studies of less luminous, more typical infrared-selected quasar at high redshift. However, they noted that the origin of flux anomalies of this quasar is still uncertain, which should be a target for further investigation.”Microlensing magnification maps may be explored to investigate the possibility of the flux anomalies being due to microlensing. On a longer timescale, monitoring observations would separate microlensing and intrinsic flux variations. Since the quasar is radio-faint, observations probing narrow line emission from the source, too spatially extended to be affected by microlensing, would be required to separate the effects of microlensing and substructure,” the astronomers wrote in the paper. New quasar discovered by astronomers Color combined HST WFC3/IR F125W and F160W images of W2M J1042+1641 over two visits along with output from a morphological analysis with galfit (Peng et al. 2002). Credit: Glikman et al., 2018. More information: A highly magnified gravitationally lensed red quasar at z = 2.5 with significant flux anomaly: Uncovering a missing population, arXiv:1807.05434 [astro-ph.GA] arxiv.org/abs/1807.05434AbstractWe present the discovery of a gravitationally lensed dust-reddened QSO at z=2.517 discovered in a survey for red QSOs by infrared selection. Hubble Space Telescope imaging in the WFC3/IR F160W and F125W filters reveals a quadruply lensed system in a cusp configuration. We find that compared to the central image of the cusp, the nearby, brightest image is anomalous by a factor of ∼7−11. Although the source is extremely bright in the mid-infrared, a magnification by a factor of ∼50−120 places an upper limit of 1.35 mJy on the intrinsic mid-infrared brightness, well below the WISE W4 detection limit of 6 mJy. We find that this QSO is moderately reddened, with E(B−V)=0.7 and that ∼1% of the intrinsic spectrum is leaked back into the line of sight resulting in an upturn in its UV spectrum. We conclude that the QSO’s reddening is intrinsic and not due to the lens. Consistent with previous red quasar samples, this source exhibits outflows in its spectrum as well as morphological properties suggestive of it being in a merger-driven transitional phase. Depending on how Lbol is computed, the quasar’s accretion rate may be as high as 0.26 LEdd. We detect two Lyman limit systems, at z=2.102 and z=2.431, with absorption by metal lines likely at small impact parameter to the QSO, and a putative lens redshift of z=0.599. Given the rarity of quad lenses, the discovery of this source allows detailed study of a less luminous, more typical infrared-selected quasar at high redshift. © 2018 Phys.org This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.last_img read more


Midge swarms show mechanical properties behave as a viscoelastic material


first_imgMean swarm response to an oscillating swarm marker. (A) Trajectories (>40 s long) of individual midges (each color corresponding to a different midge) are individually convoluted but remain localized over the ground-based swarm marker (black square). (B) Sketch of our experimental setup. Swarms form inside a plexiglass cube measuring 122 cm on a side and are imaged using three cameras mounted outside the enclosure. The swarm marker (in dark gray) is mounted on a linear stage (in red) that can be oscillated over a range of controlled frequencies and amplitudes along the direction indicated by the white arrows, which we label as the x direction. z increases vertically from the swarm marker (antiparallel to gravity), with the marker itself at z = 0. Midge development tanks (light blue) and four infrared light-emitting diode arrays (yellow; additional arrays on top of the enclosure are not shown) are also shown. (C) Phase-averaged position of the center of the swarm marker XM and the center of mass of the swarm XS. The swarm center of mass tracks the sinusoidal motion of the marker, although with a reduced amplitude and a phase lag. (D) The amplitude of the swarm center-of-mass motion AS as a function of the amplitude of the marker motion AM for two different oscillation frequencies, showing a linear relationship between the two. The shaded area shows the SEM. Microrobots that can form into multiple types of swarming shapes A team of researchers from Stanford University and Rothamsted Research, has found that midge swarms have some types of mechanical properties and also respond to a stimulus at times as a viscoelastic. In their paper published in the journal Science Advances, the group describes their study of swarm behavior in a species of midges and what they found. PausePlay% buffered00:0000:00UnmuteMuteDisable captionsEnable captionsSettingsCaptionsDisabledQuality0SpeedNormalCaptionsGo back to previous menuQualityGo back to previous menuSpeedGo back to previous menu0.5×0.75×Normal1.25×1.5×1.75×2×Exit fullscreenEnter fullscreen Citation: Midge swarms show mechanical properties, behave as a viscoelastic material (2019, July 11) retrieved 18 August 2019 from https://phys.org/news/2019-07-midge-swarms-mechanical-properties-viscoelastic.html More information: Kasper van der Vaart et al. Mechanical spectroscopy of insect swarms, Science Advances (2019). DOI: 10.1126/sciadv.aaw9305 © 2019 Science X Networkcenter_img Play Reconstructed positions of individual midges (black dots) in a swarm viewed from the side. A swarm marker (red line), which is a black square plate, oscillates back and forth below the swarm resulting in a travelling wave that travels upward through the swarm away from the marker. Credit: Kasper van der Vaart Explore further Journal information: Science Advances This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only. Midges are an unofficial classification of two-winged fly. There are many species, most of which are associated with swarms that live near water or marshy areas. In this new effort, the researchers wanted to learn more about the physical properties of swarming behavior from the perspective of an entire swarm, rather than the individuals in it. To that end, they obtained a mass of male Chironomus riparius, which are known to swarm over a given object such as a tree stump as part of their mating ritual—the swarm allows the females to find them from a distance. In their lab, the researchers placed a square of black felt on the bottom of a tank for the midges to use as their orienting object. When the piece of felt was moved, the swarm responded to it. To test swarm responses to it, the felt square was attached to a small oscillating device.The researchers report that they focused specifically on how the swarm responded as an entire unit to the moving object below them. They report that it behaved in a layered manner, with those closest to the moving object responding faster than those in more distant layers. The researchers suggest this was likely due to propagation delays in messaging between individuals. They also observed mechanical properties—and sometimes the swarm behaved elastically, while at other times it behaved more like a viscous liquid—which, in physics terms, meant it was behaving like a viscoelastic material. They also found that sometimes, the viscosity properties were overcome by the elastic properties, which led to an observed dampening effect of the swarm’s overall movement. The researchers suggest this made the swarm more stable, making it easier for the females to find it. They also suggest their findings might have some relevance to swarming robotics efforts.last_img read more


Getting started with Amazon Machine Learning workflow Tutorial


first_imgAmazon Machine Learning is useful for building ML models and generating predictions. It also enables the development of robust and scalable smart applications. The process of building ML models with Amazon Machine Learning consists of three operations: data analysis model training evaluation. The code files for this article are available on Github. This tutorial is an excerpt from a book written by Alexis Perrier titled Effective Amazon Machine Learning. The Amazon Machine Learning service is available at https://console.aws.amazon.com/machinelearning/. The Amazon ML workflow closely follows a standard  Data Science workflow with steps: Extract the data and clean it up. Make it available to the algorithm. Split the data into a training and validation set, typically a 70/30 split with equal distribution of the predictors in each part. Select the best model by training several models on the training dataset and comparing their performances on the validation dataset. Use the best model for predictions on new data. As shown in the following Amazon ML menu, the service is built around four objects: Datasource ML model Evaluation Prediction The Datasource and Model can also be configured and set up in the same flow by creating a new Datasource and ML model. Let us take a closer look at each one of these steps. Understanding the dataset used We will use the simple Predicting Weight by Height and Age dataset (from Lewis Taylor (1967)) with 237 samples of children’s age, weight, height, and gender, which is available at https://v8doc.sas.com/sashtml/stat/chap55/sect51.htm. This dataset is composed of 237 rows. Each row has the following predictors: sex (F, M), age (in months), height (in inches), and we are trying to predict the weight (in lbs) of these children. There are no missing values and no outliers. The variables are close enough in range and normalization is not required. We do not need to carry out any preprocessing or cleaning on the original dataset. Age, height, and weight are numerical variables (real-valued), and sex is a categorical variable. We will randomly select 20% of the rows as the held-out subset to use for prediction on previously unseen data and keep the other 80% as training and evaluation data. This data split can be done in Excel or any other spreadsheet editor: By creating a new column with randomly generated numbers Sorting the spreadsheet by that column Selecting 190 rows for training and 47 rows for prediction (roughly a 80/20 split) Let us name the training set LT67_training.csv and the held-out set that we will use for prediction LT67_heldout.csv, where LT67 stands for Lewis and Taylor, the creator of this dataset in 1967. As with all datasets, scripts, and resources mentioned in this book, the training and holdout files are available in the GitHub repository at https://github.com/alexperrier/packt-aml. It is important for the distribution in age, sex, height, and weight to be similar in both subsets. We want the data on which we will make predictions to show patterns that are similar to the data on which we will train and optimize our model. Loading the data on S3 Follow these steps to load the training and held-out datasets on S3: Go to your s3 console at https://console.aws.amazon.com/s3. Create a bucket if you haven’t done so already. Buckets are basically folders that are uniquely named across all S3. We created a bucket named aml.packt. Since that name has now been taken, you will have to choose another bucket name if you are following along with this demonstration. Click on the bucket name you created and upload both the LT67_training.csv and LT67_heldout.csv files by selecting Upload from the Actions drop-down menu: Both files are small, only a few KB, and hosting costs should remain negligible for that exercise. Note that for each file, by selecting the Properties tab on the right, you can specify how your files are accessed, what user, role, group or AWS service may download, read, write, and delete the files, and whether or not they should be accessible from the Open Web. When creating the datasource in Amazon ML, you will be prompted to grant Amazon ML access to your input data. You can specify the access rules to these files now in S3 or simply grant access later on. Our data is now in the cloud in an S3 bucket. We need to tell Amazon ML where to find that input data by creating a datasource. We will first create the datasource for the training file ST67_training.csv. Declaring a datasource Go to the Amazon ML dashboard, and click on Create new… | Datasource and ML model. We will use the faster flow available by default: As shown in the following screenshot, you are asked to specify the path to the LT67_training.csv file {S3://bucket}{path}{file}. Note that the S3 location field automatically populates with the bucket names and file names that are available to your user: Specifying a Datasource name is useful to organize your Amazon ML assets. By clicking on Verify, Amazon ML will make sure that it has the proper rights to access the file. In case it needs to be granted access to the file, you will be prompted to do so as shown in the following screenshot: Just click on Yes to grant access. At this point, Amazon ML will validate the datasource and analyze its contents. Creating the datasource An Amazon ML datasource is composed of the following: The location of the data file: The data file is not duplicated or cloned in Amazon ML but accessed from S3 The schema that contains information on the type of the variables contained in the CSV file: Categorical Text Numeric (real-valued) Binary It is possible to supply Amazon ML with your own schema or modify the one created by Amazon ML. At this point, Amazon ML has a pretty good idea of the type of data in your training dataset. It has identified the different types of variables and knows how many rows it has: Move on to the next step by clicking on Continue, and see what schema Amazon ML has inferred from the dataset as shown in the next screenshot: Amazon ML needs to know at that point which is the variable you are trying to predict. Be sure to tell Amazon ML the following: The first line in the CSV file contains te column name The target is the weight We see here that Amazon ML has correctly inferred the following: sex is categorical age, height, and weight are numeric (continuous real values) Since we chose a numeric variable as the target Amazon ML, will use Linear Regression as the predictive model. For binary or categorical values, we would have used Logistic Regression. This means that Amazon ML will try to find the best a, b, and c coefficients so that the weight predicted by the following equation is as close as possible to the observed real weight present in the data: predicted weight = a * age + b * height + c * sex Amazon ML will then ask you if your data contains a row identifier. In our present case, it does not. Row identifiers are useful when you want to understand the prediction obtained for each row or add an extra column to your dataset later on in your project. Row identifiers are for reference purposes only and are not used by the service to build the model. You will be asked to review the datasource. You can go back to each one of the previous steps and edit the parameters for the schema, the target and the input data. Now that the data is known to Amazon ML, the next step is to set up the parameters of the algorithm that will train the model. Understanding the model We select the default parameters for the training and evaluation settings. Amazon ML will do the following: Create a recipe for data transformation based on the statistical properties it has inferred from the dataset Split the dataset (ST67_training.csv) into a training part and a validation part, with a 70/30 split. The split strategy assumes the data has already been shuffled and can be split sequentially. The recipe will be used to transform the data in a similar way for the training and the validation datasets. The only transformation suggested by Amazon ML is to transform the categorical variable sex into a binary variable, where m = 0 and f = 1 for instance. No other transformation is needed. The default advanced settings for the model are shown in the following screenshot: We see that Amazon ML will pass over the data 10 times, shuffle splitting the data each time. It will use an L2 regularization strategy based on the sum of the square of the coefficients of the regression to prevent overfitting. We will evaluate the predictive power of the model using our LT67_heldout.csv dataset later on. Regularization comes in 3 levels with a mild (10^-6), medium (10^-4), or aggressive (10^-02) setting, each value stronger than the previous one. The default setting is mild, the lowest, with a regularization constant of 0.00001 (10^-6) implying that Amazon ML does not anticipate much overfitting on this dataset. This makes sense when the number of predictors, three in our case, is much smaller than the number of samples (190 for the training set). Clicking on the Create ML model button will launch the model creation. This takes a few minutes to resolve, depending on the size and complexity of your dataset. You can check its status by refreshing the model page. In the meantime, the model status remains pending. At that point, Amazon ML will split our training dataset into two subsets: a training and a validation set. It will use the training portion of the data to train several settings of the algorithm and select the best one based on its performance on the training data. It will then apply the associated model to the validation set and return an evaluation score for that model. By default, Amazon ML will sequentially take the first 70% of the samples for training and the remaining 30% for validation. It’s worth noting that Amazon ML will not create two extra files and store them on S3, but instead create two new datasources out of the initial datasource we have previously defined. Each new datasource is obtained from the original one via a Data rearrangement JSON recipe such as the following: { “splitting”: { “percentBegin”: 0, “percentEnd”: 70 }} You can see these two new datasources in the Datasource dashboard. Three datasources are now available where there was initially only one, as shown by the following screenshot: While the model is being trained, Amazon ML runs the Stochastic Gradient algorithm several times on the training data with different parameters: Varying the learning rate in increments of powers of 10: 0.01, 0.1, 1, 10, and 100. Making several passes over the training data while shuffling the samples before each path. At each pass, calculating the prediction error, the Root Mean Squared Error (RMSE), to estimate how much of an improvement over the last pass was obtained. If the decrease in RMSE is not really significant, the algorithm is considered to have converged, and no further pass shall be made. At the end of the passes, the setting that ends up with the lowest RMSE wins, and the associated model (the weights of the regression) is selected as the best version. Once the model has finished training, Amazon ML evaluates its performance on the validation datasource. Once the evaluation itself is also ready, you have access to the model’s evaluation. Evaluating the model Amazon ML uses the standard metric RMSE for linear regression. RMSE is defined as the sum of the squares of the difference between the real values and the predicted values: Here, ŷ is the predicted values, and y the real values we want to predict (the weight of the children in our case). The closer the predictions are to the real values, the lower the RMSE is. A lower RMSE means a better, more accurate prediction. Making batch predictions We now have a model that has been properly trained and selected among other models. We can use it to make predictions on new data. A batch prediction consists in applying a model to a datasource in order to make predictions on that datasource. We need to tell Amazon ML which model we want to apply on which data. Batch predictions are different from streaming predictions. With batch predictions, all the data is already made available as a datasource, while for streaming predictions, the data will be fed to the model as it becomes available. The dataset is not available beforehand in its entirety. In the Main Menu select Batch Predictions to access the dashboard predictions and click on Create a New Prediction: The first step is to select one of the models available in your model dashboard. You should choose the one that has the lowest RMSE: The next step is to associate a datasource to the model you just selected. We had uploaded the held-out dataset to S3 at the beginning of this chapter (under the Loading the data on S3 section) but had not used it to create a datasource. We will do so now.When asked for a datasource in the next screen, make sure to check My data is in S3, and I need to create a datasource, and then select the held-out dataset that should already be present in your S3 bucket: Don’t forget to tell Amazon ML that the first line of the file contains columns. In our current project, our held-out dataset also contains the true values for the weight of the students. This would not be the case for “real” data in a real-world project where the real values are truly unknown. However, in our case, this will allow us to calculate the RMSE score of our predictions and assess the quality of these predictions. The final step is to click on the Verify button and wait for a few minutes: Amazon ML will run the model on the new datasource and will generate predictions in the form of a CSV file. Contrary to the evaluation and model-building phase, we now have real predictions. We are also no longer given a score associated with these predictions. After a few minutes, you will notice a new batch-prediction folder in your S3 bucket. This folder contains a manifest file and a results folder. The manifest file is a JSON file with the path to the initial datasource and the path to the results file. The results folder contains a gzipped CSV file: Uncompressed, the CSV file contains two columns, trueLabel, the initial target from the held-out set, and score, which corresponds to the predicted values. We can easily calculate the RMSE for those results directly in the spreadsheet through the following steps: Creating a new column that holds the square of the difference of the two columns. Summing all the rows. Taking the square root of the result. The following illustration shows how we create a third column C, as the squared difference between the trueLabel column A and the score (or predicted value) column B: As shown in the following screenshot, averaging column C and taking the square root gives an RMSE of 11.96, which is even significantly better than the RMSE we obtained during the evaluation phase (RMSE 14.4): The fact that the RMSE on the held-out set is better than the RMSE on the validation set means that our model did not overfit the training data, since it performed even better on new data than expected. Our model is robust. The left side of the following graph shows the True (Triangle) and Predicted (Circle) Weight values for all the samples in the held-out set. The right side shows the histogram of the residuals. Similar to the histogram of residuals we had observed on the validation set, we observe that the residuals are not centered on 0. Our model has a tendency to overestimate the weight of the students: In this tutorial, we have successfully performed the loading of the data on S3 and let Amazon ML infer the schema and transform the data. We also created a model and evaluated its performance. Finally, we made a prediction on the held -out dataset. To understand how to leverage Amazon’s powerful platform for your predictive analytics needs,  check out this book Effective Amazon Machine Learning. Read Next Four interesting Amazon patents in 2018 that use machine learning, AR, and robotics Amazon Sagemaker makes machine learning on the cloud easy Amazon ML Solutions Lab to help customers “work backwards” and leverage machine learninglast_img read more


Winners of 20102011 Malaysia Tourism awards announced


first_imgChris Evans, Managing Director, New Horizons Holidays Source = Tourism Malaysia Local Australian operator wins award for excellence Tourism Malaysia has announced the 2010/2011 winners of the prestigious Malaysia Tourism Awards, with local WA tour operator New Horizons Holidays among the award recipients. The winners collected their awards in front of the King and Queen of Malaysia, Yang di-Pertuan Agong Tuanku Abdul Halim Mu’adzam Shah and Raja Permaisuri Agong Tuanku Haminah Hamidun and Tourism Minister Dato’ Sri Dr Ng Yen Yen, at an awards ceremony in Kuala Lumpur in late December 2011. New Horizons Holidays won the Innovative Foreign Tour Operator award, for the Oceania region. This is the second time New Horizons Holidays has received this prestigious accolade, and is a reflection of the company’s dedication to providing unique holiday experiences in Malaysian destinations including Penang, Kuala Lumpur, Sabah, and Sarawak. The award was received by Managing Director, Chris Evans (picture attached). A total of 39 recipients were presented with awards for excellence, across a range of tourism sectors including hotels, tour operators, MICE and media. Individual recipients included food ambassador Datuk Redzuawan Ismail (popularly known as Chef Wan) and internationally-acclaimed shoe designer Prof Dato’ Jimmy Choo, who were awarded the Minister of Tourism’s Special Award for promoting Malaysia abroad.At the awards ceremony, Tourism Minister Dato’ Sri Dr Ng Yen Yen urged industry players to practice sustainable Green Tourism in an effort to grow the industry without sacrificing nature, culture, or heritage. In recent years the Ministry of Tourism has developed standalone community based ecotourism products and destinations, including the homestay programme which was launched in 1995 and is continuing to grow in both scope and popularity. For more information on Malaysia please visit www.tourismmalaysia.com.au or www.facebook.com/tourismmalaysiaaustralia For a full list of winners from the 2010/2011 Malaysia Tourism Awards please visit http://www.tourism.gov.my/_img/events_festival/attachment/MalaysiaTourismAwards.pdf  last_img read more


Events push Sydney hotel occupancy up


first_imgSydney accommodation businesses have enjoyed high occupancies as the city’s events activity increases.Increased occupancy from the domestic leisure market as a result of the recent City-to-Surf run and the AFL match between Sydney Swans and Collingwood saw hotel chains like Accor and Best Western report full capacity across their Sydney properties.Due to event times there has been a strong demand for Saturday night occupancy, which continued to grow in August, according to the Accommodation Association of Australia (AAA).The Accommodation Association of Australia CEO Richard Munro is optimistic the domestic short-break leisure travel is still a very healthy market, evident from these figures.Despite the perception of the high Australian dollar, the CEO said “low airfares mean that leisure travellers are open to taking more short breaks, allowing them to experience the large-scale events that Sydney – as well as other destinations –has to offer.” Accor’s regional general manager, NSW & ACT, Scott Boyes agrees, pointing out that unlike ten years ago when people would only fly interstate once a year, the trend now is people fly interstate about five times.“Today people may fly to another city for a football game, a party, a show, or just to catch up with friends and family,” Mr Boyes said.The short-term outlook for the accommodation sector in Sydney is positive as other events like the NRL and AFL grand final and the Sydney Fiesta are looming. Source = e-Travel Blackboard: K.Wlast_img read more


Miami Florida – Reported by Elite Traveler the p


first_imgMiami, Florida – Reported by Elite Traveler, the private jet lifestyle magazineTurnberry Isle Miami, South Florida’s legendary Mediterranean-style retreat, has appointed Chef John Sexton as executive chef. Announced by Douglas Hustad, managing director at Turnberry Isle Miami, Sexton’s role is effective immediately. Sexton is responsible for the oversight and development of the property’s culinary program, including all four dining venues and their menus.“As the third generation of a family whose lives were immersed in food and flavor, his innate talent and passion for creativity that was developed during his travels makes him an ideal candidate,” said Hustad. “His commitment to fresh ingredients and his friendly and innovative approach to classic cooking fit well with Turnberry Isle Miami’s culinary ethos and will ensure that our food and beverage department continues to flourish and grow.”Prior to assuming his position at Turnberry Isle Miami, Sexton served as executive chef at Reunion Resort and Club in Reunion, Florida, where he dramatically revamped the property’s food and beverage department. As the executive chef and director of culinary operations at the PGA National Resort and Spa in Palm Beach Gardens, Sexton led his team through an extensive remodeling of the resort, including the opening of new dining outlets. Chef Sexton’s diverse background includes experience at properties such as The Registry Resort and Club in Naples and The Boca Raton Resort and Club in Boca Raton. He also previously owned his own catering company named Sexton Caterers LLC in Hartford, Connecticut after working at The Bee and Thistle Inn located in Old Lyme, Connecticut. Chef Sexton began his culinary career at the Culinary Institute of America in Hyde Park, New York.www.turnberryislemiami.comlast_img read more