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Mouse Model Of Parkinson's Reproduces Nonmotor Symptoms
The classic symptoms of Parkinson"s disease involve tremor, stiffness and slow movements. Over the last decade, neurologists have been paying greater attention to non-motor symptoms, such as digestive and sleep problems, loss of sense of smell and depression.
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Group Files Petition Over Enforcement Of Regulations In Adult Film Industry To Prevent Sexually Transmitted Diseases
The AIDS Healthcare Foundation last week filed a petition in Los Angeles County Superior Court asking "the court to order the Los Angeles County Department of Public Health to enforce regulations that require condom use in adult-film production or take other reasonable steps to stem the spread of disease," the Los Angeles Times reports (Yoshino, 7/17). In the petition, "the group claims that in the month since an actress tested positive for HIV, the county Department of Public Health has done little to address what it considers to be a serious health threat" (AP/San Jose Mercury News, 7/16). In a statement released last week, the department, said, "The county continues to strongly support state legislation and the regulatory role of the [California Division of Occupational Safety and Health] as the most appropriate means to regulate the practices in the adult-film industry that expose performers to unnecessary and preventable occupational risks of acquiring and transmitting these diseases," adding, "The department does not believe that litigation is the best means to deal with this issue" (Yoshino, 7/17).
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Shanghai To Relax One-Child Policy As China Faces Aging Population, Shrinking Work Force
Nearly three decades after China implemented its one-child policy, the city of Shanghai is planning to encourage young couples to have a second child in an effort to address the country"s aging population and shrinking work force, the New York Times reports. The city"s plan is the most public effort made by the government to counteract a program that is "considered both a tremendous success and a terrible failure," the Times reports. The policy has managed to keep population growth under control but also has led to forced abortions, according to the Times.The country is not abandoning the one-child policy, which applies mostly to residents in urban areas. Rather, the government is allowing more exceptions to the rule, with Shanghai -- where about 22% of its 20 million residents are older than age 60 -- leading the effort. China as a whole faces a similar problem seen in Shanghai, the Times reports. About 8% of the country"s population was older than age 65 in 2006. That figure is expected to increase threefold by 2050 to about 322 million people, or nearly 25% of the population, according to the United Nations.In Friday"s issue of China Daily, Xie Lingli, director of the Shanghai Population and Family Planning Commission, was quoted as saying, "We advocate eligible couples to have two kids because it can help reduce the proportion of the aging people and alleviate a work force shortage in the future." City officials plan to visit homes, pass out leaflets, and offer counseling and financial incentives, the Times reports. Current exceptions to the one-child policy are in place for ethnic minorities and rural residents, who can have a second child if the first child is a girl. Couples made up of two parents who have no siblings have always been allowed to have a second child and are now being encouraged to do so (Barboza, New York Times, 7/24).
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Making Faces: Robot Learns To Smile And Frown

A hyper-realistic Einstein robot at the University of California, San Diego has learned to smile and make facial expressions through a process of self-guided learning. The UC San Diego researchers used machine learning to "empower" their robot to learn to make realistic facial expressions. "As far as we know, no other research group has used machine learning to teach a robot to make realistic facial expressions," said Tingfan Wu, the computer science Ph.D. student from the UC San Diego Jacobs School of Engineering who presented this advance on June 6 at the IEEE International Conference on Development and Learning. The faces of robots are increasingly realistic and the number of artificial muscles that controls them is rising. In light of this trend, UC San Diego researchers from the Machine Perception Laboratory are studying the face and head of their robotic Einstein in order to find ways to automate the process of teaching robots to make lifelike facial expressions. This Einstein robot head has about 30 facial muscles, each moved by a tiny servo motor connected to the muscle by a string. Today, a highly trained person must manually set up these kinds of realistic robots so that the servos pull in the right combinations to make specific face expressions. In order to begin to automate this process, the UCSD researchers looked to both developmental psychology and machine learning. Developmental psychologists speculate that infants learn to control their bodies through systematic exploratory movements, including babbling to learn to speak. Initially, these movements appear to be executed in a random manner as infants learn to control their bodies and reach for objects. "We applied this same idea to the problem of a robot learning to make realistic facial expressions," said Javier Movellan, the senior author on the paper presented at ICDL 2009 and the director of UCSD"s Machine Perception Laboratory, housed in Calit2, the California Institute for Telecommunications and Information Technology. Although their preliminary results are promising, the researchers note that some of the learned facial expressions are still awkward. One potential explanation is that their model may be too simple to describe the coupled interactions between facial muscles and skin. To begin the learning process, the UC San Diego researchers directed the Einstein robot head (Hanson Robotics" Einstein Head) to twist and turn its face in all directions, a process called "body babbling." During this period the robot could see itself on a mirror and analyze its own expression using facial expression detection software created at UC San Diego called CERT (Computer Expression Recognition Toolbox). This provided the data necessary for machine learning algorithms to learn a mapping between facial expressions and the movements of the muscle motors. Once the robot learned the relationship between facial expressions and the muscle movements required to make them, the robot learned to make facial expressions it had never encountered. For example, the robot learned eyebrow narrowing, which requires the inner eyebrows to move together and the upper eyelids to close a bit to narrow the eye aperture. "During the experiment, one of the servos burned out due to misconfiguration. We therefore ran the experiment without that servo. We discovered that the model learned to automatically compensate for the missing servo by activating a combination of nearby servos," the authors wrote in the paper presented at the 2009 IEEE International Conference on Development and Learning. "Currently, we are working on a more accurate facial expression generation model as well as systematic way to explore the model space efficiently," said Wu, the computer science PhD student. Wu also noted that the "body babbling" approach he and his colleagues described in their paper may not be the most efficient way to explore the model of the face. While the primary goal of this work was to solve the engineering problem of how to approximate the appearance of human facial muscle movements with motors, the researchers say this kind of work could also lead to insights into how humans learn and develop facial expressions. "Learning to Make Facial Expressions," by Tingfan Wu, Nicholas J. Butko, Paul Ruvulo, Marian S. Bartlett, Javier R. Movellan from Machine Perception Laboratory, University of California San Diego. Presented on June 6 at the 2009 IEEE 8TH INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING. Watch the robot make faces in this short YouTube video Daniel Kane University of California - San Diego


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