Sherman Nets First Brace for PKNS FC

first_imgSherman scored his first brace in PKNS FC’s 3-2 win against Kuala Lumpur on Saturday, April 27, 2019.Liberia’s Malaysia-based striker Kpah Sherman, first brace for PKNS FC in the Malaysian Super League continues to fly the Liberian flag high in the Asian league by performing to expectation.“I am happy to be here to start another chapter of my football career with focus to be steady in the league and contribute more to my new club,” said Sherman after signing a one-year deal with the top flight club in December 2018.Noted for his forceful style of play in pressuring opponents, Sherman opened his goal scoring account on February 17, 2019, after helping his team secured a 4-0 win against FA Salangor.At the moment, all seems to be going well so far for the 27-year-old in the new chapter of his football career. Over the weekend, he scored his first brace for PKNS FC in their 3-2 win against Kuala Lumpur on Saturday, April 27 at the Shah Alam Stadium in Selangor.Selangor (Pop. 5.79 million in 2013) is a state on the west coast of Peninsular Malaysia, encircling the capital Kuala Lumpur. In the state capital, Shah Alam, the Sultan Salahuddin Abdul Aziz Mosque has four soaring minarets and a huge blue dome. To the northeast are the limestone Batu Caves, which house ornately decorated Hindu shrines. A large golden statue of the Hindu god Lord Murugan stands at the entrance, and monkeys scamper about.Sherman scored his first goal in the 31st minute to make the scores 2-0, before Kuala Lumpur got a consolation at the brink of half time. Upon return to the second half, the national team striker completed his brace in the 78th,  followed by another consolation in the 82nd minute.The weekend’s brace from the former BYC striker, increased his goals tally to four out of eight league games, two assists and two goals from two games in the Malaysia FA Cup. Sherman’s performance also earned him an accolade after he was named “Man of the Match” and player of the week by his team.His recent accomplishment comes a little over a week after he scored the lone goal in his team’s 1-0 win over JDT, securing their qualification to the quarterfinals.Share this:Click to share on Twitter (Opens in new window)Click to share on Facebook (Opens in new window)last_img read more

MIT Algorithm Reads Your Face to Detect Pain

first_img In one of my favorite Scrubs scenes, J.D. and Elliot refer to an “archaic” chart—illustrated expressions in varying degrees of pain—to gauge a patient’s discomfort.Mr. Peele, whose face looks like he just bit into a lemon, is a seven. Todd, hanging four stories from his banana hammock, is a 10.Sacred Heart Hospital’s rating scale, however, isn’t as antiquated as the fictional doctors believe. According to Medscape, single-dimensional scales, like the one held up by Dr. Reed, are still used to assess acute pain.More complex issues like chronic pain require multi-dimensional scales, which measure intensity, nature, and location of suffering, as well as the impact on a patient’s activity or mood.But these tools often require patients to have good verbal skills and sustained concentration—not always possible when your body is throbbing, convulsing, or cramping.Researchers at the Massachusetts Institute of Technology are working on a modern solution that takes automatic pain estimation to a new level.In a paper published last month, MIT scientists describe a two-stage hierarchical learning algorithm called DeepFaceLIFT (Learning Important Features).Trained on videos of people with shoulder pain grimacing through range-of-motion exercises, the neural network has learned to detect subtleties in facial micro-expressions.When paired with self-reported pain scores, the algorithm can better estimate the user’s degree of discomfort. Age, sex, and skin complexion personalize the technique for more accurate results.MIT researchers Dianbo Liu, Fengjiao Peng, Andrew Shea, Ognjen Rudovic, and Rosalind Picard may not sound like heroes to you. But the team has developed a system that can help doctors and nurses distinguish between patients in need and those trying to scam prescription painkillers.For now, however, physicians must remain reliant on the face pain chart, while sadistic scientists continue schooling their algorithm in what it means to feel pain.“We plan to derive more advanced statistics that could potentially capture additional information and improve estimates of subjective pain,” according to MIT’s study. “Finally, we hope that these findings will advance applications of pain estimation in clinical settings.”Let us know what you like about Geek by taking our survey. Stay on target MIT’s AI Knitting System Designs, Creates Woven GarmentsMIT, IBM Train AI to Create and Edit Fake Images last_img read more