Low back pain is the leading cause of limited physical activity, affecting 80-85% of adults in their lifetime [1]. Development of low back pain can result from elevated, prolonged and/or repetitive forces on the spine, which commonly occur during daily activities such as leaning and lifting. Wearable assistive devices (e.g., exoskeletons) are emerging as a potential means of mitigating low back...

yan et al. has pointed out that the combination of orcement learning and Sigmoid-based neural ork sometimes leads to instability of the learning. is paper, it is proposed that a Gauss-Sigmoid neural ork, in which continuous input signals are put into a oid-based neural network through a RBF network, ilized for reinforcement learning. It is confirmed simulation of the same task as in Boyan et al...

New learning methods are emerging in order to improve and facilitate the use of communication and informatics technologies both by students and professors. This paper describes an Ambient Intelligence application scenario based on Computer Supported Collaborative Learning and MANET in order to create creative and flexible e-learning environments where students can use wireless technologies for ...

Introduction/background In recent months there has been heated debates on Zambia's economic governance especially as it relates to prudent fiscal management. Being a heavily donor dependent country with over 40% of its national budget supported by external resources, Zambia has had no choice but to abide by the Post-Washington consensus—a new economic doctrine supported by our external financie...

Researchers explored how 13 states in which policymakers have adopted an A-F school letter grade accountability system performed on the National Assessment of Educational Progress (NAEP) post-policy implementation. found mixed results, with approximately half these increasing achievement post-policy, and other not, evidencing that states’ adoptions similar policies may not realize increased stu...

In this project we use co-training to classify blogs by political leaning. We classify them into two pre-defined categories: liberal and conservative. We examine the performance of co-training versus normal supervised learning. We also look at using several different features to improve training.