GOL Pumps US$5M in Ebola Trust Fund

first_imgThe Government of Liberia (GOL) through the Ministry of Finance and Development Planning (MFDP) has announced the creation of a Trust Fund to manage the Ebola outbreak in Liberia. The fund is established at the Central Bank of Liberian (CBL) (Act No. 022530000215/ Ebola Trust Fund) under the guidance of the MFDP, with supervision from the National Task Force on Ebola.The government through the Ministry of Finance and Development Planning in collaboration with the Central Bank of Liberia has contributed an initial US$5 million to the fund, demonstrating the seriousness it attaches to the fight against the deadly Ebola virus, which has already claimed the lives of over 130 Liberians. The GOL therefore encourages all partners including donors, private sector actors and ordinary citizens to contribute to the Fund.President Ellen Johnson Sirleaf has authorized the Minister of Finance, Mr. Amara M. Konneh, to appoint a Special Comptroller General and a small team of accounting and procurement specialists to manage the Fund. She said the objective of appointing a special comptroller general and procurement specialists is to ensure that the funds are used effectively and that the goal is achieved.The GOL noted that the purpose of the special team is to ensure that after the program is over, a full accounting report of all funds and other resources received and expended is produced for the public.“At the end of the program, a detailed report shall be provided and the General Auditing Commission (GAC) will be asked to perform an audit and results communicated to the nation,” a GOL statement said.According to the government, the special team will work directly under the National Ebola Task Force chaired by the President to ensure that resources are provided expeditiously without any bottleneck in supporting those on the frontline to combat the Ebola epidemic.The government noted that all procurement and logistical decisions will be made at the task force level.The government has meanwhile emphasized that it has made available US$5 million to the fund as its initial contribution. It encouraged the public, donor community and friendly governments to make contributions to the fund.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