A passenger takes a photo of his grandson at Beijing South Railway Station on Thursday before they board a bullet train heading to Baigou in Hebei province. ZOU HONG/CHINA DAILY The first bullet train linking Beijing and the Xiongan New Area departed from the Beijing South Railway Station on Thursday. It was the first of four high-speed services scheduled to run daily. The journey takes 1 hour and 50 minutes. The D6655 left at 8:08 am and made its first stop after 80 minutes at the new area's Baiyangdian Railway Station. The train's terminal is Baoding Railway Station in Hebei province, where it arrived at 9:58 am. The return train departed Baoding at 10:26 am and arrived in Beijing at 12:29 pm. A passenger, surnamed Xiao, took the first train from Baiyangdian to Beijing. He said the service is convenient, saving time and energy. The service also stops at Bazhou West, Baigou and Xushui stations, which are all in Hebei. Passengers no longer need to transfer trains to travel between the new area and Beijing, said Zhu Dianping, an official at the Beijing Railway Bureau's station management center. Before the bullet train service existed, passengers traveling from Baigou or Baiyangdian to Beijing, had to transfer in Baoding or Tianjin, which cost 82 yuan or 97 yuan ($12 or $14) respectively, Zhu said, adding that the ticket fare for an economy seat on the bullet train from Baiyangdian to Beijing is 45 yuan. Since the establishment of the new area was announced in April, Baiyangdian has received more visitors. Baiyangdian Railway Station handled 500 trips a day last year. The number has increased to 800 this year, and the daily peak reached 2,000 during the May Day holiday, said Lu Huijuan, deputy head of Baiyangdian Railway Station. Most visitors from Beijing used to take the freeway to get to Baiyangdian, meaning traffic congestion was terrible during weekends or holidays, Lu said, adding that she expects rail passenger numbers to grow. A taxi driver in Xiongan New Area surnamed Liu said he believes the bullet train service will encourage more people to visit. Liu used to give rides to three or four customers a day, but since the establishment of the new area, he now has about a dozen clients each day. They usually head to Baigou and Baiyangdian on business trips or to travel, he said. Located about 100 kilometers southwest of downtown Beijing, Xiongan New Area will mostly cover Xiongxian, Rongcheng and Anxin counties in Hebei. Contact the writers at [email protected]motivational bracelets for athleteswellies and wristbands 2017custom fidget spinnersrubber wristbands custom cheapwristbands online
Li Ming, associate professor of electrical and computer engineering at DKU. PROVIDED TO CHINA DAILY An artificial intelligence system jointly developed by the 3rd Affiliated Hospital of Sun Yat-sen University in Guangzhou and the Duke Kunshan University has achieved an 80 percent accuracy rate in screening 120 toddlers who were diagnosed with autism, the team behind the system said during a forum at DKU last week. The system represents a major development in autism screening for children, which is considered a challenge in China due to the lack of experienced pedestrians who can perform an accurate diagnosis. Experts say that early detection and intervention could substantially improve the prognosis of patients. China has more than 10 million children with autism. In the US, the estimated autism prevalence in 2018 is one in 59. It's quite hard for doctors to tell whether a two-year-old is autistic or not as there is no single cause for identification or a biomarker, said Zou Xiaobin, director of Child Behavior Development Center of the 3rd Affiliated Hospital of Sun Yat-sen University. A diagnosis is completely reliant on a doctor's observation of the toddler's behavior. The AI system was tested on 120 two-year-olds between last year and early this year. The toddlers were accompanied by their mothers in a room and their behaviors were recorded and analyzed by audio and video systems. Eye-tracking technology was also used. Doctors said that unlike normal children, an autistic child lacks the ability to pay attention to people's eyes. A number of indicators were included in the system for the screening, said Li Ming, associate professor of electrical and computer engineering at DKU who is responsible for the development of the AI system. The indicators include whether the toddlers responded by raising their heads or answering when they were called by their names, whether they gazed at their mothers or stood up to follow when their mothers left the room, and whether they made eye contact or followed their mothers' visual cues, Li said. Li said he was confident that the accuracy rate will be improved by at least 10 percent following upgrades to the machine learning system and data processing technology. Obtaining a bigger pool of samples is crucial as well. The more the machine learns, the higher its accuracy will be, Li said. Contact the writer at [email protected]
