Paes, Sania and Bhupathi need to work together for Indian tennis: Boris Becker

first_imgLegendary Boris Becker feels the three icons of Indian tennis, Leander Paes, Mahesh Bhupathi, and Saina Mirza need to bury their differences and work together for the betterment of the sport in the country.Talking about Indian tennis, which has not been able to produce world-class singles players in the last three decades, Becker said the trio (all doubles specialists) need to unite to take the game forward in their country.”India has a long successful history in tennis. You have to have a large pool of players, so that some of them go on to win titles. At the moment you don’t see them but I would say it is a matter of time,” Becker told PTI.”Tennis is very popular in India, I know that for a fact. Maybe the likes of Sania, Bhupathi, and Paes need to do something about it. I know they are fighting a little but that is the only solution (to work together). That is what the former players did in Germany and France, they went back to sport administration,” he added.Can Djokovic match Federer’s Grand Slam record?Becker has also backed an in-form Novak Djokovic to chase Roger Federer’s record 20 Grand Slam titles and said the Serbian’s best chance to achieve the feat is in the next two years.31-year-old Djokovic is back to his best after a lean run and has won the last three Grand Slams, including a record seventh crown at the Australian Open last month.Federer is 37 but is still going strong despite his fourth-round loss at Melbourne Park.advertisementSeventeen-time Majors winner Rafael Nadal too is well and truly back in the mix and reached the final at Melbourne Park after an injury lay-off.Becker, speaking ahead of the Laureus World Sports Awards here on Monday night, said equaling Federer’s tally of 20 Grand Slams is now in the realm of possibility.”One of the misfortunes of playing in an era with Federer and Nadal is you can’t really compare yourself to them. Normally, after 15 Grand Slams and seven Australian Open titles, you would say ‘wow’. It is wow but the next question is ‘will Novak ever break Federer’s record?” said Becker, who coached the world number one to six Grand Slam victories between 2014-2016. “The short answer is that there is a possibility (of Novak getting close to Federer’s 20 titles) but a lot of things have to happen. Yes, he won the last three majors but before that, he had a two-year dry spot.”Following his split with Djokovic, Becker had questioned the Serbian’s work ethic.”Tennis is fickle and sensitive. A lot of things have to be right in your personal and private life. For Novak, it is perfect at the moment. Therefore he is on his way (to match Federer’s feats) and hopefully nothing happens in the meantime,” said the German, who himself won six Majors.Is Becker surprised by Djokovic’s red hot form?”Yes and no. Because he has a champion’s mindset and that is something you never lose. He has his work ethic back, as well as his discipline, his desire and his love for the game, so, it was a question of time when he is going to win again,” Becker said.”When he is on, he is very very good. And he is still young enough, younger than Nadal ( who is 32). There is an open window for him in the next two years to add to his trophy collection.”When Federer won his 20th, nobody thought anyone could even come close. Now you have two guys (Djokovic and Nadal). Every Grand Slam is witnessing history.”Becker feels both Nadal and Djokovic might have to win more than 20 titles to break Federer’s record, considering the Swiss master is playing at the moment.”With Roger Federer, nothing is impossible. As long as he is healthy and wants to play, I would never bet against him. Yes, theoretically, there is an age issue but he is redefining that at 37. He is still one of the best. Maybe not on clay but on grass the way he plays, he is one of my favourites to win Wimbledon. It will stay that way until he doesn’t want to play anymore,” he said.Nadal, Federer, and Djokovic are superstars not just in the tennis world, they are also considered as global sporting icons. Their intense rivalry will go down as one of the most competitive in history books and the sport will be a lot poorer when they retire.advertisementBecker on the youngsters in tennisHowever, Becker sees the men’s tennis landscape changing in the next five years.”The younger generation will struggle to quickly move into their roles. But hey when I started playing it was Borg-McEnroe, I thought it was the greatest rivalry the world has ever seen. Next thing I know is I am involved with Edberg, Wilander, and Lendl and then came Sampras and Agassi,” he said.”So every five to seven years you find these two or three players who are extraordinary. We can’t imagine right now but in the next five years, we will have a new top three who may not have the name (and fame) which Federer, Nadal, and Djokovic enjoy.Also Read | Split with coach Sascha Bajin not over money, clarifies Naomi OsakaAlso See:last_img read more

2 days agoJuventus watching Tottenham youngster Troy Parrott

first_imgJuventus watching Tottenham youngster Troy Parrottby Paul Vegas2 days agoSend to a friendShare the loveJuventus are watching Tottenham youngster Troy Parrott.The Irish teen is yet to make a first team appearance for Mauricio Pochettino in the Premier League.The striker is being earmarked as one of Spurs’ most promising youngsters and there is hope he can break into the first team before the end of the season.Calciomercato says Juventus have been impressed by the youngster and will continue to monitor his development.The report claims the Bianconeri are interested in the Irishman and are deciding on whether to make a move when the transfer window reopens. TagsTransfersAbout the authorPaul VegasShare the loveHave your saylast_img read more

Scorpio Bulkers Adds USD 34 Million to Loan Tally

first_imgzoomIllustration. Image Courtesy: Pixabay under CC0 Creative Commons license Monaco-based bulker owner and operator Scorpio Bulkers is pushing ahead with its fleet refinancing efforts having secured a commitment from an unnamed European financial institution for a loan facility of up to USD 34 million. The loan facility will be used to finance up to 62.5 pct of the fair market value of two Kamsarmaxes, SBI Jive and SBI Swing.The loan, which is expected to close within the third quarter of 2018, will be comprised of a term loan up to USD 17 million and a revolver up to USD 17 million, Scorpio said.It a final maturity date of seven years from signing date and bears interest at LIBOR plus a margin of 2.35% per annum.The loan is expected to increase the company’s liquidity by approximately USD 10 million after repayment of the vessels’ existing debt.The latest deal comes just a month after Scorpio received a commitment for a loan facility of up to USD 184 million.The loan, secured from Nordea AB and Skandinaviska Enskilda Banken AB, will be used to finance six Ultramaxes.The company has been on a major capital raising camping over the recent period which also included inking a loan of USD 60 million in July and USD 30 million in June 2018 for vessel refinancing.last_img read more

Half of First Nations children living in poverty should shock Canadians report

first_imgAPTN National NewsHalf of First Nations children in Canada are living below the poverty line a new study indicates.The number jumps to nearly two thirds in Manitoba and Saskatchewan according to a study released Wednesday by the Canadian Centre for Policy Alternatives and Save the Children Canada.“The report’s findings that half of status First Nation children live in poverty should shock all Canadians,” said Patricia Erb, President and CEO of Save the Children, in a statement. “Looking beyond the numbers to the impact of poverty on the lives of Indigenous children explains why Save the Children is currently growing our programming in Canada.”The number drops when looking at Metis, Inuit, and non-status Indian children to 27 per cent and brings the total to nearly 40 per cent for all Indigenous children living in poverty compared to 15 per cent of non-Indigenous children.Some of the differences in child poverty appear to be where they are from. Federally funded on-reserve children faced the most hardships compared to those who lived off reserve.The federal government funds on-reserve social services, health care, education and income supports.According to the study transfer payments for these social services on-reserve have increased two per cent a year since 1996 and isn’t adjusted for population growth or need.“The removal of this cap on funding growth and an adjustment of transfers for need could reduce the alarming rate of status First Nations households living in poverty. It is a matter of choice,” said a portion of the study’s executive summary. “The failure of ongoing policies is clear. The link between the denial of basic human rights for Indigenous children and their poverty is equally clear.”The study examined child poverty statistics from the 2006 census, the most recent data available according to the authors.According to the statistics Indigenous children fall behind on family income, ability to receive an education, crowding and homelessness, poor water quality, infant mortality, health and suicide.“The Indigenous population is the fastest growing in Canada. With adequate and sustained support these people will become an integral part of society and the workforce–particularly as baby boomers retire,” said Daniel Wilson, Indigenous rights advocate and co-author of the study. “But if we refuse to address the crushing poverty facing Indigenous children, we will ensure the crisis of socioeconomic marginalization and wasted potential will continue.”Nearly $7.5 billion would be need to bring all children up to the poverty line suggested the study.news@aptn.calast_img read more

Scientists teach neural network to identify a writers gender

Explore further This is a new development in the field of computational linguistics. The research was funded by a Russian Science Foundation grant. The findings were published in the Procedia Computer Science journal.Many scientific studies show that writing style can reflect certain characteristics of a writer – gender, physiological personality traits, and level of education. Speech patterns are a valuable psycho-diagnostic tool, and are often used by human resources professionals and security services. By analyzing a person’s speech, researchers can diagnose certain illnesses such as dementia and depression, and the person’s inclination toward suicidal behavior. The demand for identifying certain characteristics of a writer’s personality is increasing against the backdrop of the development of internet communications—companies want to know which demographics like their products and services.Using the numerical values for various parameters in a text, researchers in this area (linguists, psychologists, IT experts) have created mathematical models to identify certain traits in the writer’s personality. Using neural networks, the researchers analyzed the effectiveness of various machine-learning algorithms for text analysis.During the research, the scientists compared the accuracy of gender identification by text based on two types of data-driven modeling: first, machine-learning algorithms (such as a support vector machine and gradient boosting), and, second, a deep learning neural network (such as convolutional neural networks and the long short-term memory recurrent neural networks).”Using these advanced neural network models, we have achieved great results in identifying the gender of the writer based on text, under conditions in which the author is not attempting to hide his/her gender,” said Alexander Sboyev, assistant professor at MEPhI. “Our next step is to teach the neural network to identify the gender of a writer who is deliberately trying to hide it.”Thus, in the following texts, originally published on dating websites, the neural network easily identified the writer’s gender 10 out of 10 times, despite the fact that authors were free to sign their texts with a name typical of the opposite gender.This text was written by a female: “I am a handsome, fit 30-year-old man. I have a high-paying job at a large oil and gas company. I live in my own flat in Moscow, and also own a small but nice house in an Italian village. I am into sports, mainly football. I love going out on weekends, I can’t stand homebodies. My perfect girl would be modest and beautiful, and would have an attractive body, based on today’s standards. She would share my interests and would not be jealous or try to make me jealous. In the future, I do not plan to be the sole provider in a family, as I believe that when it comes to families, both men and women must earn the money. I would like to have separate budgets as well. I will not tolerate cheating.”This text was written by a male: “Hello! I am very angry, very! Why do you keep treating us like this?! We are people, too, all of us are equal! Are you sexist? I will not tolerate this anymore! I’m going to smash your car into pieces; I will spray paint all over it. You just wait, you monster. It sucks to be you.”This research indicated that the approach based on using convolutional neural networks and methods of deep learning to identify a writer’s gender, is the most optimal. The team of researchers is currently working on identifying a writer’s age. 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. A team of researchers from the National Research Nuclear University MEPhI, the National Research Center Kurchatov Institute and the Voronezh State University has developed a new learning algorithm that allows a neural network to identify a writer’s gender by the written text on a computer with up to 80 percent accuracy. Citation: Scientists teach neural network to identify a writer’s gender (2018, April 27) retrieved 18 July 2019 from https://phys.org/news/2018-04-scientists-neural-network-writer-gender.html Provided by National Research Nuclear University More information: Alexander Sboev et al. Deep Learning neural nets versus traditional machine learning in gender identification of authors of RusProfiling texts, Procedia Computer Science (2018). DOI: 10.1016/j.procs.2018.01.065 Introducing Cloud Text-to-Speech service for developers read more

Demystifying the future of connected and autonomous vehicles

first_imgArgonne researchers are modeling and simulating how connected and autonomous vehicles could affect energy and mobility in metropolitan areas. Credit: Shutterstock / metamorworks Transforming transportation with machine learning No doubt the emergence of connected and autonomous vehicles (CAVs) will have new and exciting effects on patterns and modes of transportation, but when it comes to measuring those effects, the future gets a little hazier. To complement their POLARIS analyses and measure energy effects, researchers used Argonne’s Autonomie tool. Autonomie is the industry-leading tool for predicting fuel consumption from current and future vehicles. For their analysis, researchers relied on Autonomie to measure the impact of CAVs on energy use.Quantifying energy and mobility impactsTo quantify the mobility and energy impacts of CAV adoption, researchers took into account a number of interrelated metrics. Among them are changes in vehicle miles traveled (VMT), value of travel time (VOTT), amount of congestion and energy consumption.Value of travel time measures the perceived burden of time spent on travel, the assumption being that, the lower the burden of travel time, the more an individual is willing to travel on the road.”We looked at VOTT as a critical factor affecting both mobility and energy because, no longer having to deal with the burden of driving, CAV drivers may choose to spend more time on the road, knowing they can use their travel time to do other, productive activities,” said Argonne Vehicle and Mobility Simulation Manager Aymeric Rousseau. “We focused on understanding the impact of VOTT on mobility and energy for different vehicle technologies and consumer behaviors.””Overall, our research found that people with access to partially automated CAVs do tend to take longer trips, as the value of travel time decreased, and the driver was alleviated from the focus on driving. We also saw congestion increase in certain scenarios,” Auld said. “We also found changes in fuel usage, including an increase in fuel use as CAV market penetration went up, with the increase in VMT.”Future stepsTo improve their ability to represent and analyze the complex interactions affecting transportation and mobility, researchers are working to enhance POLARIS and Autonomie to better account for CAV technology choices (like varying levels of automation) and their impacts on traffic flow. They’re also looking at new mobility technologies, such as transportation network companies and car sharing services.”Our modeling and simulation approaches are vital to anticipating the transportation and energy needs of our nation. By continuing to enhance these tools and techniques, we’ll be better equipped to deliver tools and solutions that address future needs,” Rousseau said.This work is being sponsored by the DOE Vehicle Technologies Office (VTO) under the Systems and Modeling for Accelerated Research in Transportation (SMART) Mobility Laboratory Consortium, an initiative of the Energy Efficient Mobility Systems (EEMS) Program. David Anderson, a DOE Office of Energy Efficiency and Renewable Energy (EERE) program manager, played important roles in establishing the project concept, advancing implementation and providing ongoing guidance. How might these technologies affect how people travel and how energy will be used? Will they lead people to spend more time on the road or less? How will they alter the way we consume fuel, the time we spend on the road, or the amount of traffic on our roadways?To answer such questions, and understand future mobility, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory are deploying advanced modeling and simulation tools. And in a collaborative three-year project, supported by DOE’s SMART (Systems and Modeling for Accelerated Research in Transportation) Mobility Consortium, Argonne researchers are using these tools to predict the impact of CAVs on energy and mobility in metropolitan areas.”Our goal is to acquire a system-level understanding of how transportation is changing, including how different modes of transportation interact, the decisions made by travelers that underlie those interactions, and how automation affects all of it,” said Argonne Computational Transportation Engineer Joshua Auld. “This level of understanding will provide insights to help cities better plan and adapt to future transportation changes.”Argonne’s work advances the SMART Consortium’s mission to increase our understanding of the impacts that will arise from future mobility systems. Project collaborators include the University of Illinois at Chicago, the University of New South Wales, Texas A&M University, the University of Michigan, Carnegie Mellon University, the University of Washington, George Mason University, as well as multiple cities and planning agencies.Modeling and simulationNow two years into their project, Auld and fellow collaborators have developed a model to represent the adoption of partially and fully automated CAVs at varying levels of market penetration, using predictions based on cost and an individual’s willingness to pay. Researchers have integrated this model, along with a traffic flow model for CAVs, into the Planning and Operations Language for Agent-based Regional Integrated Simulation (POLARIS) platform, Argonne’s transportation system simulator.POLARIS simulates mobility and traffic flow by predicting the individual behavior of “agents,” which can represent people, households and organizations. It analyzes how millions of these agents interact and make decisions on the use of automobiles, bicycles, transit, etc. In turn, these decisions affect the transportation system as a whole. Researchers used POLARIS to simulate mobility and travel flow impacts of these different scenarios. Citation: Demystifying the future of connected and autonomous vehicles (2018, June 4) retrieved 18 July 2019 from https://phys.org/news/2018-06-demystifying-future-autonomous-vehicles.html Provided by Argonne National Laboratory 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. Explore furtherlast_img read more

This Common Sugar Substitute Can Be Deadly for Dogs FDA Warns

first_imgYou should always be careful about what you let your dog eat — case in point, a common sugar substitute found in everything from chewing gum to peanut butter can be deadly for man’s best friend, according to the U.S. Food and Drug Administration (FDA). This week, the FDA warned pet owners about the dangers of xylitol, a type of sugar alcohol that is sometimes found in sugar-free foods. Although the substance is safe for humans, it can be poisonous for dogs. Over the last several years, the agency has received reports of dogs being poisoned by eating foods that contain xylitol. Many of the poisonings occurred when dogs ate sugar-free gum, the FDA said. But xylitol can also be found in other food or consumer products, including sugar-free candy, breath mints, baked goods, sugar-free (or “skinny”) ice cream, toothpaste, cough syrup, and some peanut and nut butters. [These 7 Foods Cause the Most Pet Deaths]Headbutting Tiny Worms Are Really, Really LoudThis rapid strike produces a loud ‘pop’ comparable to those made by snapping shrimps, one of the most intense biological sounds measured at sea.Your Recommended PlaylistVolume 0%Press shift question mark to access a list of keyboard shortcutsKeyboard Shortcutsplay/pauseincrease volumedecrease volumeseek forwardsseek backwardstoggle captionstoggle fullscreenmute/unmuteseek to %SPACE↑↓→←cfm0-9接下来播放Why Is It ‘Snowing’ Salt in the Dead Sea?01:53 facebook twitter 发邮件 reddit 链接https://www.livescience.com/65921-sugar-substitute-xylitol-deadly-dogs.html?jwsource=cl已复制直播00:0000:3500:35  When dogs eat xylitol, it is quickly absorbed into the bloodstream and causes a rapid release of insulin, the hormone that helps sugar enter cells. This insulin spike may cause dogs’ blood sugar levels to plummet to life-threatening levels, a condition known as hypoglycemia, the FDA said. In humans, xylitol isn’t dangerous, because it does not stimulate the release of insulin. Signs of xylitol poisoning in dogs — including vomiting, weakness, difficulty walking or standing, seizures, and coma — typically occur within 15 to 30 minutes of consumption, and deaths have occurred in as little as 1 hour, the FDA said. To protect your dog, the FDA recommends checking food labels for xylitol, particularly if the product is advertised as sugar-free or low sugar, said Martine Hartogensis, a veterinarian at the FDA. “If a product does contain xylitol, make sure your pet can’t get to it,” Hartogensis said in a statement. This also applies to products you might not think of as food, such as toothpaste, which your dog might still attempt to eat. And if you give your dog peanut or nut butters as a treat or vehicle for pills, you should also check the label to make sure the product doesn’t contain xylitol, the agency said. 20 Weird Dog and Cat Behaviors Explained by Science 11 Ways Your Beloved Pet May Make You Sick 7 Surprising Health Benefits of Dog Ownership Originally published on Live Science.by Taboolaby TaboolaSponsored LinksSponsored LinksPromoted LinksPromoted LinksYou May LikeVikings: Free Online GamePlay this for 1 min and see why everyone is addicted!Vikings: Free Online GameUndoTruthFinder People Search SubscriptionOne Thing All Liars Have in Common, Brace YourselfTruthFinder People Search SubscriptionUndoGundry MD Total Restore SupplementU.S. Cardiologist: It’s Like a Pressure Wash for Your InsidesGundry MD Total Restore SupplementUndoArticles VallyDad Cuts Daughter’s Hair Off For Getting Birthday Highlights, Then Mom Does The UnthinkableArticles VallyUndoNucificTop Dr. Reveals The 1 Nutrient Your Gut Must HaveNucificUndoComparisons.orgCalifornia Drivers With No Tickets In 3 Years Must Read ThisComparisons.orglast_img read more

Parangwielding motorcyclist kills two elderly men in Segamat

first_img Related News {{category}} {{time}} {{title}} Nation 22h ago Man charged with molesting music teacher Related News SEGAMAT (Bernama): Two elderly men were killed by a machete-wielding motorcyclist in an incident at 6pm on Friday (July 12).Segamat Police chief DSP Noor Ariffin Mohamad Nasir said the 33-year-old suspect had stopped in front of a restaurant and slashed the first victim to death.”The first victim, in his 70s, was having a drink when it happened. He died at the scene,” he told Bernama when contacted.Nor Ariffin said the suspect then walked to a durian stall 200m from the restaurant and stabbed the durian seller, in his 60s, using the same weapon. Crime , Killed , Machete , Motorcyclist , Elderly men , Johor , Segamatcenter_img “The second man died while receiving treatment at the Buloh Kasap health clinic,” he said, adding that police had arrested the suspect at the scene and seized the machete.Further investigation into the scene is ongoing. – Bernama Metro News 22h ago Two activity centres for elderly to be built in outskirts of city Tags / Keywords: Nation 22h ago RM925mil of 1MDB funds recovered, says Limlast_img read more