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Beirut Share Story Behind Gallipoli From Upcoming Album Announce Tour


first_imgWriting and recording “Gallipoli” in Italy “seemed to return me to the old joys of music as a visceral experience,” Beirut’s Zach Condon sharesAna YglesiasGRAMMYs Oct 22, 2018 – 6:02 pm Indie group Beirut, led by Zach Condon, have released the lead single and title track for their upcoming album set to be released on Feb. 1, 2019. The band will also launch a tour in support of the album that month. News Beirut Share Story Of “Gallipoli,” Announce Tour beirut-share-story-behind-gallipoli-upcoming-album-announce-tour https://twitter.com/bandBeirut/status/1054360911723614209 Email Twitter center_img Facebook Beirut Share Story Behind “Gallipoli” From Upcoming Album, Announce Tour Our new album GALLIPOLI will be released February 1st, 2019, via 4AD. Tour dates: https://t.co/vbnb4CKW66Pre-order: https://t.co/jeFb1ectSmStream: https://t.co/cNf3L7awSQ pic.twitter.com/rPiZQzkM4R— Beirut (@bandBeirut) October 22, 2018 “Gallipoli” is a joyful, bright track led by celebratory-sounding horns and organ notes, with Condon’s vocals floating amongst them as he sings, “We tell tales to be known/or be spared the sorrow.” The song was written by Condon after the group visited the small island town of the same name in Southern Italy while working on the then-unnamed album at a studio in a nearby town.In a long note from Condon on the band’s website, he shares that “Gallipoli started, in my mind, when I finally had my old Farfisa organ shipped to New York from my parent’s home in Santa Fe, NM.” It was with this old, previously-abandoned organ that he used almost exclusively to write the majority of Beirut’s first two albums, while still living in Santa Fe. After the organ arrived in Brooklyn at his home at the time in 2016, he began writing the first songs for Galliopoli, also using it for the first time in the studio.After Condon moved from Brooklyn to Berlin in 2017, the group resumed working on the album, this time in a rural part of Southern Italy. It was there that Condon, along with two of his bandmates, Nick Petree and Paul Collins, and producer Gabe Wax had a strange and inspiring encounter.”We stumbled into a medieval-fortressed island town of Gallipoli one night and followed a brass band procession fronted by priests carrying a statue of the town’s saint through the winding narrow streets behind what seemed like the entire town, before returning late to Sudestudio. The next day I wrote the song I ended up calling ‘Gallipoli’ entirely in one sitting, pausing only to eat. I eventually dragged Nick and Paul in to add some percussion and bass,” he shares.The creativity and inspiration he felt that night and the following day gave him the beautiful title track, and soon enough the rest of the album.”I was quite pleased with the result. It felt to me like a cathartic mix of all the old and new records and seemed to return me to the old joys of music as a visceral experience,” Condon said. “This seemed to be the guiding logic behind much of the album, of which I only realized fully at that point.”On NPR’s All Songs Considered, Condon furthers the story of the night in Gallipoli:”[Sound] was bouncing off the walls, and simultaneously every church bell in town was ringing, which just made for utter chaos. And the city is just claustrophobic, streets winding—you would have to live there your whole life to know where you’re going.”Shortly after the album is released on Feb 1, Beirut will embark on a U.S. tour beginning Feb. 10 in Brooklyn and ending March 5 in Los Angeles. The European leg will follow, beginning in Berlin on March 30. More information on the tour can be found on the band’s website.SXSW Announces First Wave Of Artists For Music Festival In Spring 2019Read morelast_img read more


Auto Expo 2014 Toyota Etios Cross Set to Make its Debut


first_imgToyota Kirloskar Motor (TKM), the Indian subsidiary of Toyota, will showcase its much-hyped Etios Cross at the upcoming Auto Expo 2014 in New Delhi.The vehicle, which was unveiled in Brazil and Argentina in November, has been spotted testing on Indian roads for quite some time. The car – a restyled version of Toyota Etios Liva hatchback – will come powered by the same the 1.4 liter, 68 bhp diesel engine or the 1.5 liter, 89 bhp petrol engine. According to reports, the car is based on the Etios Liva though the exterior flaunts an overhauled look.The Etios Cross looks sportier than the Etios Liva and is expected to come with features like a new front bumper and diamond cut 10-spoke alloy wheels. When launched, the vehicle will take on the likes of Volkswagen Polo Cross and Fiat Punto Cross.Meanwhile, Toyota has launched two new variants of its premium hatchback Etios Liva, dubbed VD and VD SP. Previously Etios was available in four variants – JD, GD, GD Safety Package (SP) and TRD Sportivo.Toyota Etios Liva VD comes at a price of Rs. 6.72 lakh, while the VD SP variant is priced at Rs. 7.12 lakh. The engine specifications of both models remain the same as 1.4-litre motor which can churn a power of 67 bhp with peak torque of 170 Nm.The Auto Expo 2014 is speculated to see the unveiling of around 20 new cars. Auto majors like Maruti Suzuki, Hyundai, Volkswagen, Ford, Audi, Chevrolet, Nissan, BMW, Honda, Toyota, Jaguar Land Rover, Volvo and Mercedes-Benz are all said to be getting ready to dazzle at the event.last_img read more


Adele and her longtime partner Simon Konecki have broken up


first_imgAdele and Simon KoneckiInstagramThey could have had it all but sadly they have called it quits. British singer Adele and her husband Simon Konecki called off their relationship over the weekend. Sharing a statement from her rep, Adele wrote how they have separated but will continue to show support towards raising their son.As per the statement shared by Adele’s rep, it reads, “Adele and her partner have separated. They are committed to raising their son together lovingly. As always they ask for privacy. There will be no further comment.” On the same, a source has quoted to E! News that they grew apart. “They had a lot in common early on, but eventually they just grew apart. She became a bigger and bigger star, and he was okay [with] being in the background, but as she got bigger and had massive tours and intense schedules, they just grew apart,” said the source.However, despite the differences, the couple will continue to keep close ties for their son. The source did state to E! News that they want to keep their separation amicable since they have their son, Angelo, together. Reports further state that theirs won’t be an ugly breakup. The source believes, “it’s highly unlikely this is going to get ugly.”Ever since they first got together in 2011, Adele and Simon kept their relationship super private. “Their marriage was clearly working for a very long time,” the insider added. “Whenever she was out at big openings and special events, he was usually with her, and they looked really just happy together and in love. They were into the marriage pretty much until they decided this just isn’t working anymore.” AdeleInstagramInterestingly, the news of Adele and Simon calling it quits comes after the 30-year-old singer was spotted in New York City without a wedding ring. Speculations arose as she was spotted less with Simon and more with her friends from Hollywood and music fraternity. She was previously spotted with Jennifer Lawrence, hopping across gay bars in the Big Apple.Considering how they have been very private about their relationship from the start, perhaps their divorce proceedings will also be a quiet affair.last_img read more


Mysterious dark matter smashed through our milky way and its hiding somewhere


first_imgIBTimes VideoRelated VideosMore videos Play VideoPauseMute0:01/0:50Loaded: 0%0:01Progress: 0%Stream TypeLIVE-0:49?Playback Rate1xChaptersChaptersDescriptionsdescriptions off, selectedSubtitlessubtitles settings, opens subtitles settings dialogsubtitles off, selectedAudio Trackdefault, selectedFullscreenThis is a modal window.Beginning of dialog window. Escape will cancel and close the window.TextColorWhiteBlackRedGreenBlueYellowMagentaCyanTransparencyOpaqueSemi-TransparentBackgroundColorBlackWhiteRedGreenBlueYellowMagentaCyanTransparencyOpaqueSemi-TransparentTransparentWindowColorBlackWhiteRedGreenBlueYellowMagentaCyanTransparencyTransparentSemi-TransparentOpaqueFont Size50%75%100%125%150%175%200%300%400%Text Edge StyleNoneRaisedDepressedUniformDropshadowFont FamilyProportional Sans-SerifMonospace Sans-SerifProportional SerifMonospace SerifCasualScriptSmall CapsReset restore all settings to the default valuesDoneClose Modal DialogEnd of dialog window. COPY LINKAD Loading … BUFFALO Mission: Hubble Takes Spectacular Photo of Vast Galaxy Cluster Scientists have made a critical discovery in terms of space exploration and in understanding our own universe. A “bullet” of dark matter shot through space recently, leaving a hole through the Milky Way. The “bullet” has been described as a “low-mass dark-matter subhalo” with a mass greater than the Sun.The event itself was not observed by telescopes, leading to suggestions that it could have been caused by something non-luminescent. Scientists at the Harvard-Smithsonian Center for Astrophysics discovered evidence of its existence. A series of gaps were found in the Milky Way’s stellar stream, indicating that something had breached the halo and left a ragged cluster of stars in its wake.”It’s a dense bullet of something,” said Ana Bonaca, a Fellow at the facility. Bonaca presented this observation at an American Physical Society conference in Denver on April 15. While discussing evidence for dark substructures in our galaxy’s halo, Bonaca also described the stellar stream. Under normal circumstances, the stream forms a curved line of stars that move together across the galaxy. A piece of dark matter has ripped a hole in our galaxy.ShutterstockThe largest of the stellar streams, GD-1 has only one gap, where stars once drifted apart in two directions. Another gap was seen recently, pointing to what is likely to be a globular cluster. There is a chance that the gap was created by a luminous object moving at a very fast speed. Though, that is unlikely because of the sheer size of the disturbance. It has been estimated that it was 10-20 parsecs (30-65 light years) across, which is “about the size of a globular cluster”. Globular Cluster NGC 1846 observed by a NASA Hubble Space TelescopeNASABonaca told Live Science that the “bullet” is unlike anything we have seen. It is much denser than a star, over a million times the mass of the Sun. She also expressed the possibility of it being a supermassive black hole, but that is unlikely since no flares or radiation were observed. Moreover, most galaxies have only one black hole, which is present at their centre.In a lecture series held at the Kavli Institute for Theoretical Physics on March 20, Bonaca explained that about 90 percent of the universe is believed to be dark matter. John Beacom of the Ohio State University has described the search for dark matter as “looking for lost keys only under the lamppost”, referring to the unobservable part of the universe.This observation opens up new possibilities for research before our galaxy collides with another. Bonaca’s next move is to do more mapping projects and understand dark matter. She is looking for areas where unseen disturbances seem to be knocking stars around. The motive, she said, is to eventually record and map clumps of dark matter all across the galaxy.center_img Closelast_img read more


Café attack chargesheet by Dec 31


first_imgThe chargesheet of the much talked about case of Gulshan Holey Artisan cafe attack, will be submitted by December 31 this year.Counter Terrorism and Transational Crime (CTTC) unit of Dhaka Metropolitan Police (DMP) has been investigating the sensational Gulshan cafe attack case.On the evening of 1 July last year, five militants entered the Holy Artisan Cafe and Bakery with crude bombs, machetes, pistols, and took dozens of people, including 18 foreigners, hostage.Twenty hostages, including 17 foreigners, were killed as the militants sprayed them with bullets indiscriminately or cut their throats to confirm their death inside the cafe. Besides, two senior police officers – Banani police station then officer-in-charge Salauddin Ahmed Khan and Detective Branch assistant commissioner Robiul Islam – were shot dead when police tried to overpower them. Talking to UNB, Monirul Islam, the chief of the CTTC unit and also additional commissioner of the DMP, said they have got more names, who were somehow involved in the cafe attack. “We have been trying to arrest those suspects,” he said. Monirul Islam said five militants who went to the spot or directly involved in the attack, were killed on the spot during operation led by the 1st Para-commando Battalion, an elite force in the Bangladesh Army the following morning (July 2).Besides, eight more militants who were involved in planning and coordination in the attack have already been killed during anti-militant operations in different areas across the country in the last one year, he said.Replying to a question, Monirul Islam said the CTTC unit has already arrested several most wanted suspects in the case, including firearms supplier Mizanur Rahman alias Boro Mijan, and all of them have already given their statements before the magistrate confessing their involvement in the deadliest attack.We are hopeful to submit charge sheet of the case by 31 December this year, he added.Replying to a question, the CTTC unit chief firmly said militant’s strength to carry out attacks like the one on Holy Artisan cafe; has already been broken due to countrywide anti-militant drives.They may try to get reorganised again but their efforts would go in vain due to activities of law enforcement agencies, he said.Thirteen people, including three foreigners, were rescued while 20 bodies of the hostages were recovered from the restaurant after a successful commando operation codenamed ‘Thunderbolt’ the following day (July 2).A case was filed with Gulshan police station in connection with the terror attack. Later the case was shifted to Detective Branch of DMP. Now, Inspector Humayun Ahmed of Counter Terrorism and Transnational Crime Unit (CTTC) has been investigating the case as its investigation officer (IO).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


Former Houston Fire Captain Dies From Injuries In 2013 Southwest Inn Fire


first_img Share Conner CliftonFormer Houston Fire Department Cpt. William Dowling died Tuesday due to complications from injuries he suffered in the devastating Southwest Inn fire nearly four years ago.Four other Houston firefighters were killed in the fire that broke out on May 31, 2013 in southwest Houston. The fire is considered the deadliest day in Houston Fire Department history, HFD officials said.  Dowling joined the Houston Fire Department on March 21, 2000 and retired on June 1, 2013 after he was severely injured in the fire. He suffered severe burns and had both of his legs amputated. “Captain Dowling left us on the day we were honoring our first responders at the Houston Rodeo,” Houston Mayor Sylvester Turner said in a statement released Tuesday evening. “He was truly a hero whose service to the city will not be forgotten.  I ask all Houstonians to pray for his family and friends.”last_img read more


Four Black Political Pioneers Pen Book of Their Lives


first_imgBy George Kevin Jordan, AFRO Staff WriterHistory has many sides. But some angles are rarely covered. This Friday, Jan. 25, Washingtonians get a rare glimpse into the interior and exterior lives of four of the most powerful African American women in politics.“For Colored Girls Who Have Considered Politics” (St. Martin’s Press) tracks the stories of Donna Brazile, Yolanda Caraway, Leah Daughtry and Minyon Moore, (With Veronica Chambers) in a book that is part memoir, an ode to friendship and an insider’s tome to the political landscape over the last few decades.Donna Brazile, Yolanda Caraway, Leah Daughtry and Minyon Moore, authors of “For Colored Girls Who Have Considered Politics,” will be holding a book signing at Politcs and Prose in Northwest, D.C. on Friday, Jan. 25. (Twitter Photo)The authors will sign copies of their book from 7 – 8 p.m. at Politics & Prose Bookstore, 5015 Connecticut Avenue NW.According to book’s website: “The lives of Black women in American politics are remarkably absent from the shelves of bookstores and libraries. “For Colored Girls Who Have Considered Politics” is a sweeping view of American history from the vantage points of four women who have lived and worked behind the scenes in politics for over thirty years—Donna Brazile, Yolanda Caraway, Leah Daughtry and Minyon Moore—a group of women who call themselves the “Colored Girls.” Like many people who have spent their careers in public service, they view their lives in four-year waves where presidential campaigns and elections have been common threads. For most of the Colored Girls, their story starts with Jesse Jackson’s first campaign for president. From there, they went on to work on the presidential campaigns of Walter Mondale, Michael Dukakis, Bill Clinton, Al Gore, Barack Obama and Hillary Rodham Clinton.”Each woman helped shaped the political system we participate in today. Brazile, was a renowned political strategist and former Interim Chair of the Democratic Party. Currently an adjunct professor at Georgetown University, she is the author of the {New York Times} bestseller “Hacks.”  Yolanda Caraway heads the Caraway Group, Inc., which is instrumental in shaping the Democratic party. Leah Daughtry served as CEO of the Democratic National Convention Committee in both 2008 and 2016. She is also a preacher, organizer and public speaker. Minyon Moore also served as CEO of the Democratic National Committee. Also under President Clinton she held several positions from assistant to the President, to director of the White House Office of Public Liaison and director of White House political affairs.Veronica Chambers, who also contributed to the book, is the editor of The New York Times archival storytelling team. She penned the memoir “Mama’s Girl” and co-wrote “Yes Chef” with Marcus Samuelsson.The book’s title was a poignant take on the theatrical piece “for colored girls who have considered suicide / when the rainbow is enuf”  by writer Ntozake Shange, one of the most celebrated pieces of work about Black women that went on to Broadway and was also turned into a motion picture.Even though the book was published in October, the journey of these four women can not be understated now when 39 of the 110 women serving in Congress are women of color. In fact, according to the database BlackWomenInPolitics.com, 468 black women ran for public office in 2018. Just this week Kamala Harris announced she was running for President.This event is free and open to the public.last_img read more


Group Nine Media Taps ExGo90 Exec Jeff Siegel as Senior VP of


first_imgGroup Nine Media, parent of digital-media brands Thrillist, the Dodo, Seeker and NowThis, has hired Jeff Siegel as senior VP of distribution.Most recently, Siegel was head of licensing and syndication for Verizon’s Go90, where he oversaw off-platform content licensing and syndication for the ad-supported service’s original programming. Verizon shut down Go90 this summer after the nearly three-year-old initiative failed to gain traction.Sigel, based in the company’s New York headquarters, is responsible for sales and strategy around Group Nine’s intellectual-property library across platforms globally. Siegel will report to Mickey Meyer, chief network and IP management officer; Meyer joined the Discovery-backed company with Group Nine’s acquisition of comedy studio JASH, where he was president/COO. ×Actors Reveal Their Favorite Disney PrincessesSeveral actors, like Daisy Ridley, Awkwafina, Jeff Goldblum and Gina Rodriguez, reveal their favorite Disney princesses. Rapunzel, Mulan, Ariel,Tiana, Sleeping Beauty and Jasmine all got some love from the Disney stars.More VideosVolume 0%Press shift question mark to access a list of keyboard shortcutsKeyboard Shortcutsplay/pauseincrease volumedecrease volumeseek forwardsseek backwardstoggle captionstoggle fullscreenmute/unmuteseek to %SPACE↑↓→←cfm0-9Next UpJennifer Lopez Shares How She Became a Mogul04:350.5x1x1.25×1.5x2xLive00:0002:1502:15 Popular on Variety center_img “Jeff has extensive national and international media distribution experience and deep expertise in sourcing and negotiating TV and digital content sales and licensing deals with leading global platforms,” Meyer said in a statement. “As we continue to expand Group Nine’s IP library and evolve onto new platforms and into new formats, Jeff’s experience will be invaluable to helping us connect with new and diverse audiences around the world.”Siegel added, “The company’s brands have already built huge audiences of superfans both domestically and abroad, and I Iook forward to helping to continue to expand the audience in new and exciting ways.”Siegel has more than 20 years of experience monetizing digital content globally with a focus on international distribution.At Verizon, Siegel landed Go90’s first international content-licensing deal and advised cross-functional teams on rights, content configuration and assets with an eye toward global distribution. Before joining the telco in March 2017, Siegel was VP, international distribution at Defy Media where he oversaw content monetization for the digital studio outside of the U.S. He previously held distribution roles at FremantleMedia International and Viacom’s MTV Networks, and worked at Cinedigm for seven years.last_img read more


Snapchat Gains 4 Million Users in Q1 as Snap Beats Earnings Estimates


first_imgSnap topped Wall Street estimates on the top and bottom lines in the first quarter of 2019 — and the still-unprofitable company managed to show an uptick in Snapchat users for the first time in a year.Revenue for the quarter was $320 million, up 39% year over year, while it narrowed its net loss to $310.4 million in Q1 2019 (an adjusted loss of 10 cents per share) vs. $385.9 million in the year-earlier period.Analyst consensus estimates for Snap’s Q1 were for revenue of $306.5 million and an adjusted net loss of 12 cents per share. Snap shares rose as much as 8% in after-hours trading Tuesday on the results but later fell to around +1%.Snapchat’s daily active users were 190 million in Q1 2019 — up 4 million, or 2%, from 186 million in the prior quarter, but down from 191 million in Q1 2018. In North America, the messaging and media service’s DAUs were 80 million (up from 79 million in Q4 and down from 81 million in the year-earlier quarter). Snapchat Parent Company Raises $1.265 Billion in Debt Financing, Citing Potential Acquisitions Related Snapchat had ended 2018 with 186 million daily active users, flat sequentially and down 1 million versus the end of 2017.Three weeks ago, at its first partner summit in L.A., Snap announced several initiatives designed to spur growth and broaden its reach. Those include a new games platform; the ability to let third-party apps give their users the ability to create Stories from Snapchat; an ad network to bring Snapchat ads to third-party apps; and a new slate of original shows from BuzzFeed, New Form and others.“In the first quarter we delivered strong results across our business with growth in daily active users and revenue,” Snap CEO Evan Spiegel said in a statement. “This month we announced several new products that we believe will drive further engagement and monetization. As we look towards the future, we see many opportunities to increase our investments, and will continue to manage our business for long-term growth.”According to Spiegel, as of March, Snapchat ads can now reach 75% of U.S. consumers 13-34 — more than Instagram.In addition, Snap by the end of Q1 had widely launched its revamped Android application for Snapchat “with promising early results,” according to Spiegel. On some of the “lowest performing” Android devices, the new app produced a 6% increase in the number of people sending snaps within the first week of upgrading. Compared to the prior version, he said, the Android rebuild is 25% smaller, opens 20% faster on average, and is modularized to allow for “efficient ongoing innovation.”In a nutshell, “this is the price of admission to international markets,” Spiegel said about the Android app rebuild, on Snap’s earnings call.In discussing the new Snapchat Landmarkers augmented-reality feature — which lets users interact with real-world landmarks — Spiegel called out the company’s deal with HBO, which bought a sponsored AR lens to promote “Game of Thrones” in which a zombie dragon lands on New York City’s Flatiron Building.Snap said that in Q1 2019, the Snapchat Discover section now includes more than 450 content channels. Nearly half of its daily Discover viewers watched Discover seven days per week in the quarter, the company said. In addition, Snapchat content partners in March increased their total mobile monthly audience in the U.S. by an average of more than 30% just by publishing to Discover, according to the company (citing comScore research). Average revenue per user was $1.68, up 39% year-over-year and down 19% sequentially (reflecting seasonality in the business). Total ad impressions were up 155% year-over-year and 6% sequentially, while pricing was down 42% year-over-year and down 22% driven primarily by an increase in supply.Also on the earnings call, Jeremi Gorman, Snap’s chief business officer, said the company reorganized its U.S. advertising team as of April 1 to have a “more scalable structure” and is extending that to its international ad group. The Snap ad groups are organized into three teams: enterprise (large brand advertisers), emerging advertisers and direct-response clients. “While we expect some disruption to our near-term business, we are confident that this is the right long-term structure,” she said.For the second quarter of 2019, Snap said it expects revenue to be $335 million-$360 million (up 28%-37% year-over-year) with loss before interest, taxes, depreciation and amortization of $150 million-$125 million (versus EBITDA of -$169 million in Q2 2018).Snap, of course, calls itself “a camera company,” not a social networking or messaging service. “We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate,” the 7-year-old company’s mission statement reads.center_img Popular on Variety Snap Intros $380 Two-Camera Spectacles — A Fashion Accessory for Snapchat AR Content ×Actors Reveal Their Favorite Disney PrincessesSeveral actors, like Daisy Ridley, Awkwafina, Jeff Goldblum and Gina Rodriguez, reveal their favorite Disney princesses. Rapunzel, Mulan, Ariel,Tiana, Sleeping Beauty and Jasmine all got some love from the Disney stars.More VideosVolume 0%Press shift question mark to access a list of keyboard shortcutsKeyboard Shortcutsplay/pauseincrease volumedecrease volumeseek forwardsseek backwardstoggle captionstoggle fullscreenmute/unmuteseek to %SPACE↑↓→←cfm0-9Next UpJennifer Lopez Shares How She Became a Mogul04:350.5x1x1.25×1.5x2xLive00:0002:1502:15last_img read more


CNN Is Pulling Anderson Coopers Show Off Facebook Will Launch Go There


first_img ×Actors Reveal Their Favorite Disney PrincessesSeveral actors, like Daisy Ridley, Awkwafina, Jeff Goldblum and Gina Rodriguez, reveal their favorite Disney princesses. Rapunzel, Mulan, Ariel,Tiana, Sleeping Beauty and Jasmine all got some love from the Disney stars.More VideosVolume 0%Press shift question mark to access a list of keyboard shortcutsKeyboard Shortcutsplay/pauseincrease volumedecrease volumeseek forwardsseek backwardstoggle captionstoggle fullscreenmute/unmuteseek to %SPACE↑↓→←cfm0-9Next UpJennifer Lopez Shares How She Became a Mogul04:350.5x1x1.25×1.5x2xLive00:0002:1502:15 Facebook Reportedly Working on New Snapchat-Like Messaging App for Instagram Related Lawrence O’Donnell Draws Unwanted Spotlight to MSNBC Cooper’s “Full Circle” is among the slate of news programming Facebook originally greenlit and funded last summer from nearly two dozen partners — part of the company’s efforts to show it’s supporting credible news content for Facebook, as well as to bring users to Facebook Watch.Earlier this year, CNN decided to bring Cooper’s show to its owned-and-operated platforms because the show had proved it could attract an audience and the network wanted to gain better economics, by controlling the ad inventory. “Shifting [‘Anderson Cooper Full Circle’] to our own properties is a significant step in our streaming strategy,” Morse wrote in the memo. “This is not a trial. It’s the beginning of something. We waited for the right program to come along to stream on our owned platforms, and now we’ve found it.”Word of CNN’s changes come as Facebook is touting Watch’s momentum. According to Facebook, the number of users for the video service daily has grown to 140 million, up from 75 million six months ago, and now watch an average of 26 minutes of video daily (although Facebook is counting everyone who watched a minimum of 60 seconds of video).“Anderson Cooper Full Circle” will end its run on Facebook Watch on July 17 and then take a summer break before resuming on CNN’s digital platforms after Labor Day. CNN’s decision to move “Full Circle” to its own platforms was first reported by BI Prime.The majority of the audience for “Full Circle” on Facebook was between 13-54, according to Morse. He’s confident the show will find a robust viewership on CNN’s own platforms, noting that in the first quarter of 2019, Anderson’s “AC360” content had 4 million monthly video starts on the CNN mobile app alone, which was up more than six-fold from 2018.According to Shelley Venus, Facebook’s global video lead for news partnerships, CNN’s move to take “Full Circle” to its owned-and-operated properties fits into the social giant’s original premise in funding news content.“One of our intentions with the news in Watch program was to incubate new [intellectual property] with partners and figure out where that video content would be more successful for them in the long term with audiences, both on Watch and in general,” she said in a statement. “The CNN team has demonstrated that they are excited to bring the show to CNN’s core fans and site, and in the meantime, we will be applying the lessons learned over the past year to bring a new show to Facebook to test with them.”center_img CNN said it also will take insights it gleaned from “Anderson Cooper Full Circle” and apply them to “Go There,” which is designed to be a test for a different format.“We learned a number of things in the first year of the show,” Morse wrote in the staff memo. “We saw patterns in stories that resonated and observed how our audience wants to consume this mobile-first streaming content. Most important, we learned that the show’s real special sauce was the audience’s trust in Anderson and our CNN correspondents in the field.”Of the 21 news partners Facebook originally funded, it has renewed shows with about one-third of them, including CNN, ABC News, Business Insider, BuzzFeed News, Fox News Channel, Group Nine Media’s NowThis and Univision, according to Facebook. Popular on Variety After a year on Facebook Watch, CNN’s “Anderson Cooper Full Circle” daily news program will leave the social platform next month — and instead will run on the cable news network’s own digital properties starting in September.At the same time, CNN has set a new show for Facebook Watch slated to debut this summer: “Go There,” described as a single-topic daily news show running 10-15 minutes “built for the next generation of news junkies on Facebook,” according to the network. It will feature a new format in which CNN correspondents in the field will report directly from their mobile devices.The Cooper show relatively speaking was a hit on Facebook: Episodes of “Full Circle,” which have run Monday-Friday since July 2017, on average have reached 2 million people, according to CNN, and “we know it will perform well on our platforms too,” Andrew Morse, executive VP and GM of CNN Digital Worldwide, wrote in a memo to staff that was obtained by Variety.last_img read more


Colours of concern


first_imgThe Capital gears up for the fourth edition of India on Canvas that opens tomorrow. It is an endeavour that brings together some of the most eminent personalities with some of the greatest names in the art fraternity to jointly produce canvas that will be auctioned for Khushii (Kinship for Humanitarian, Social and Holistic Intervention in India), a non-governmental organisation led by a team of committed philanthropists and headed by legendary cricketer, Kapil Dev. Also Read – ‘Playing Jojo was emotionally exhausting’The artworks are open for preview from January 9 till 15. India on Canvas, with its unusual concept, has been a successful platform in all its previous three editions, helping merge the divide between the underprivileged and the privileged.  The auction will take place on January 15 at the residence of the British High Commissioner, New Delhi.India on Canvas Edition IV will also see a work created by the Prime Minister, Narendra Modi in collaboration with celebrated artist Satish Gupta. The painting titled Om NAMO Shivay is a tribute to Lord Shiva and is a beautiful melange of sculpture and painting on a single canvas. Also Read – Leslie doing new comedy special with NetflixThis edition of India on Canvas has also produced some extremely unique works of art ever created in India. Personalities such as the Finance Minister, Arun Jaitley, MC Mary Kom, Shahrukh Khan, Attorney General Mukul Rohatgi, Sister Shivani Brahamkumari,  Chetan Bhagat, Sadhguru Jaggi Vasudev, Rekha Vishal Bhardwaj and many respectable others spared their valuable time to paint for the cause just as they enjoyed discovering the creative side of their personality.  India on Canvas is also being supported by India Inc with names like Kiran Mazumdar Shaw, Pinky Reddy, Harsh Neotia, Tarini Jindal, Amit Kalyani, Arti Kirloskar, Bindu Kapoor and many others lending their support. Some of the biggest names in Indian art such as Akbar Padamsee, Satish Gupta, GR Iranna, Sanjay Bhattacharya, Anjolie Ela Menon, Ranbir Kaleka, Paresh Maity, Jayasri Burman, Mithu Sen, TV Santosh, Bose Krishnamachari, Manu Parekh, Seema Kohli and others have put in their best efforts to accommodate the eminent Indians’ creativity and blend it with their own creative styles.When: January 9 – 15 Time: 11 am- 6pm Where: Khushii 45, Silver Oaks Farm, Vasant Kunjlast_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


Personalised music channel provider Xite has tappe


first_imgPersonalised music channel provider Xite has tapped dvertising technology provider SpotX to offer programmatic advertising to media buyers.Xite users can search for videos, create their own music video channel, watch curated channels, and like or skip videos, delivering data about viewers’ preferences via Dutch cable operator Ziggo’s interactive set-top boxes.The resulting algorithms are then used by SpotX to build audience segments for targeted, personalised adverts, measurement of audience engagement, and audience-based buying on linear TV. In the Netherlands this is mainly possible because the interactive product is available through the linear channel on the Ziggo set-top box.“Advertisers want to reach more specific audiences across all screens and we want to deliver on those targets. What started as a modest step, now seems to be a revolutionary way of purchasing advertising for multiple screens. We’re excited to collaborate with SpotX on  empowering media buyers to leverage ads to target viewers based on content consumption , all the while improving the user experience. This step is a true evolution from audience-based planning to audience-based buying across the television ecosystem. I’m proud that together with SpotX we have developed an integrated approach from an audience-first perspective that ensures effective and efficient advertising campaigns,” said Xite founder and CEO Derk Nijssen.“Like Xite, we aim for a personalised future that revolves around the viewer. The fact that we have managed to expand the targeting possibilities in just a relatively short period of six months from just the various music channels and specific time periods according to gender, age and music preferences, shows that programmatic advertising can and will be the future for TV – a future in which the consumers’ personal preferences come first,” said Elwin Gastelaars, managing director at SpotX Benelux.last_img read more


A mumps quarantine in La may encroach on rights of detained immigrants


first_img This article was reprinted from khn.org with permission from the Henry J. Kaiser Family Foundation. Kaiser Health News, an editorially independent news service, is a program of the Kaiser Family Foundation, a nonpartisan health care policy research organization unaffiliated with Kaiser Permanente. Reviewed by James Ives, M.Psych. (Editor)Mar 7 2019A mumps outbreak and quarantine at the Pine Prairie Immigration and Customs Enforcement Processing Center in Louisiana blocked immigrants from legal resources, including their lawyers and the law library, for about two weeks in January and February, according to the attorneys.The outbreak has also raised questions about how officials dealing with public health concerns can undermine detainees’ legal rights.Lawyers said the illness did not stop immigration court proceedings — meaning from at least Feb. 3 to Feb. 14 quarantined individuals were required to continue with removal hearings, conducted from their dorm rooms via video chat, while not receiving access to legal aid.Pine Prairie, run by the privately held GEO Group, is a 100-mile drive northwest of Baton Rouge. It holds about 700 immigrants awaiting hearings to decide whether they can stay in the United States, accept voluntary repatriation or face deportation.Emily Trostle, an attorney with the local branch of the Southern Poverty Law Center, estimates about half of these people — between 300 and 400 — were quarantined to their dorms. As of Feb. 14, 288 detained people were under quarantine, according to an ICE spokesman.Per ICE, six people at Pine Prairie had a confirmed or likely case of mumps before Jan. 15; seven cases were reported between Jan. 15 and Jan. 30; and five were reported in February.The Centers for Disease Control and Prevention also did not respond to requests for data regarding mumps cases nationally at ICE centers. Pine Prairie redirected requests for comment to ICE.Detention center officials told lawyers from the Southern Poverty Law Center that the dorm lockdown was aimed at preventing the spread of mumps, which has an incubation period of 12 to 25 days. The restriction applied to detainees who may have been exposed to the virus as well as people who had confirmed infections, said attorneys. If new cases emerge in a quarantined dorm, the lockdown clock starts over.”We were locked in our bunkers — before, they would take us out to the dining hall, but due to the quarantine, they brought us food in disposable plates,” reads a legal declaration from Christian Alexander Mejia Martinez, one Pine Prairie detainee.The inability to go to the law library is critical because the majority of detainees don’t have legal representation. Such libraries are their main source for forms, translations and paperwork necessary for detention proceedings.The Southern Poverty Law Center said it was blocked from seeing at least 17 detained immigrants during the two-week period. Homero Lopez, another lawyer working with detained people, said at least 17 of his clients were quarantined as well.Lopez, who heads ISLA, a group that gives immigrants at Pine Prairie free legal help, learned of the problem when a client could not attend a legal hearing.”He wasn’t infected, but was in one of the dorms where someone was,” so he was quarantined, Lopez said.The detainees had “zero access to resources to prepare for court,” said Trostle, who is working with clients at Pine Prairie. Attorneys were unable to consult with quarantined people — both when it came to taking on potential new cases and for meeting with existing clients.”It became disastrous,” Trostle said.ICE did not comment on visitation or legal proceedings. “Each facility is responsible for its visitation protocols for detainees exposed to infectious organisms,” the spokesman said.ICE’s health service unit provided Pine Prairie with a reference guide for handling quarantines, according to the agency. But individual facilities are given the freedom to design their own protocols, the spokesman added. (That said, the system attorneys described at Pine Prairie does reflect the standards put forth by ICE’s medical division, though ICE recommends isolating someone confirmed to have the disease.)Quarantined people are now able to see attorneys but still cannot leave their dorms to use the law library, she said. Attorneys are now able to video conference with clients, or visit those who aren’t infected, as long as they wear gloves and masks.Related StoriesScientists discover weakness in common cold virusVirus killing protein could be the real antiviral hero finds studyStudy reveals how dengue virus replicates in infected cellsThe Department of Justice tracks all immigration court proceedings and verdicts, but a spokeswoman said the February data for the Oakdale Immigration Court, which is where the cases are heard, had not yet been processed. Trostle said the speed with which cases at Pine Prairie are processed is evidence that most quarantined people likely went through at least some portion of immigration proceedings without legal aid.On average, a detained person spends about a month in an ICE facility while undergoing legal proceedings, according to ICE.Legal aid — and particularly the law library — are of vital help to detainees, attorneys said. According to ISLA data, more than 80 percent of detainees in the Oakdale Immigration Court had no legal representation during fiscal year 2018, running from October through September. That means the law library is often their only resource in crafting a defense, or simply providing the appropriate paperwork to stave off immediate deportation.Legal representation makes a significant difference, too. Of the 89 percent of detainees Oakdale’s court ordered removed, 7.4 percent had representation, according to the data, derived from Syracuse University’s Transactional Records Access Clearinghouse, which gathers information from federal agencies under the Freedom of Information Act. Conversely, more than half of the detainees who voluntarily leave, get permanent relief or are released from custody have legal representation, according to those statistics.Those with attorneys were generally able to get their hearings postponed, but those without were less likely to do so, said Lopez. Advocates and lawyers say they still have trouble at times when trying to meet with clients. And cases that went forward during the two-week period, without a lawyer involved, are harder to take up after the fact.The outbreak is one of several at detention centers nationally. In the past year, ICE confirmed, 51 of its facilities have reported investigations into mumps, chicken pox and the flu.In the general U.S. population, the incidence of mumps nationally remains low, with most of the cases in recent years occurring in close groups, such as sports teams, or people in schools, colleges or camps, according to the CDC. While there is not a federal requirement to report cases, many state and local health departments do track the virus. The CDC listed 58 cases in 18 states from Jan. 1 to Jan. 31. Louisiana’s health department referred all questions to ICE and the CDC.The classic symptom of mumps is swelling along the jaw line, but not every patient shows symptoms. (Death from mumps is very rare; complications are more likely in adults than children.)To get infected, a person generally has to be in close contact — within a few feet — unlike the measles virus, which is more easily spread over a wider area, said Dr. Matthew Zahn, chair of the public health committee for the Infectious Disease Society of America.With any outbreak, “you try to isolate the people with the illness,” said Zahn, who was not involved with the Louisiana detention center outbreak.Still, that can be complex. In a setting like a college dorm, prison or detention center, if only a small number of people are exposed to the ill person, isolating the patient and those few is “much more logistically simple,” than if larger numbers are involved.last_img read more


Kerala CM calls allparty meeting today to discuss floods


first_imgKerala floods declared calamity of ‘severe nature’ RELATED Kerala Chief Minister Pinarayi Vijayan has called for a meeting of all political parties here this evening to update them on the devastating floods and rescue and relief operations. Even as the government claims that these operations are either close to fruition or are in the last stages, reports from worst-hit Chengannur says that at least 30,000 people are still at large. REFUSE TO MOVE OUTAccording to the police, they are residents who have refused to be moved to safer places even close to a week after the grievous second phase of the tragedy, or are content with food and drinking water supplies. Similarly, there are at least 10,000 people staying back in the low-lying Kuttanad in Alappuzha district, according to Thomas Isaac, state Finance Minister and local MLA. Food and drinking water were supplied to the stranded people even yesterday, the police said, adding that the Central Industrial Security Force has taken over the largest relief camps in the area. Watermarks in Puthenkavu, Arattupuzha and Malekkara around Chengannur indicate that flood waters had risen in the areas to a height of  20 feet, reports said. The Upper Kuttanad area in Pathanamthitta district is still mostly under water, with houses in the Niranam, Kadapra and Peringara panchayaths remaining partially or fully flooded. HOUSING, FARM DAMAGESMeanwhile, latest assessments indicate that 11,001 houses/dwellings have been damaged with 699 having been completely destroyed and 10,302 suffering partial damages. Electricity has been cut off in over 26 lakh houses while an estimated 2.80 lakh farmers saw standing crops on a collective 45,988 hectares of land being wiped out in the floods. A preliminary assessment says that the losses in the farm and housing sectors would alone come to Rs 1,100 crore, though this could prove an understatement in the final analysis. Damages to roads and infrastructure would add up to many times over this amount, though the Chief Minister had earlier put a figure of Rs 4,400 crore. Last evening, the Ministry of Home Affairs had said that the massive floods in Kerala was being declared a ‘calamity of severe nature’ for all practical purposes. The State Police Chief Loknath Behera has said that 40,000 policemen are being deployed to help clean up/tidy up houses in the affected areas and make them habitable. Published on SHARE SHARE EMAIL Kerala political parties unite in call for ‘national calamity’ tag COMMENTS COMMENT Kerala floods: Govt, armed forces commend each other for relief operations August 21, 2018 SHARE File photo: Rescue teams assist villagers out of a flooded area near Kochi following heavy monsoon rain . – PTI floodlast_img read more


Allahabad HC grants police protection to BJP MLAs daughter Sakshi Misra


first_imgOther Videos from India 04:02 Mon, 15 Jul, 2019 Pakistan’s anti-terror court grants bail to 26/11 Mumbai attacks mastermind Hafiz Saeed 03:58 Mon, 15 Jul, 2019 Lok Sabha passes NIA Bill 01:55 Mon, 15 Jul, 2019 Heavy rains hit Delhi-NCR, brings respite after a warm morning 04:39 Mon, 15 Jul, 2019 Assam flood death toll reaches 11, Barpeta worst affected district 03:26 Mon, 15 Jul, 2019 India hands over dossier to Pakistan on possible attempts to disrupt Kartarpur Sahib pilgrimage 03:01 Mon, 15 Jul, 2019 Solan: 7 dead after building collapses, rescue operation underway 03:23 Mon, 15 Jul, 2019 Navjot Singh Sidhu resigns as Punjab Cabinet minister, writes to Rahul Gandhi 09:38 Mon, 15 Jul, 2019 Chandrayaan 2 moon mission launch called off after technical snag Load More Other Video CategoriesIndiaSportsWorldMoviesSo SorryTelevisionlast_img read more