1890 Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 10, No. 10, October 2004 most important response is to offer a sound base of support for combating emerging diseases where they start, relying less on the rapid influx of international experts and the long-distance shipping of specimens and more on “home grown” talent, equipped with the tools and training that they need. Achieving these...

BACKGROUND Through simulations health care workers can learn by practicing skills taught and experiencing mistakes before interacting with an actual patient. A number of areas within the health care industry are currently using simulation-based training to help individuals and teams improve patient safety. WHAT IS SIMULATION-BASED TRAINING? The key components of simulation-based training are as...

Union Parishads (councils) being the century old rural local government in Bangladesh are yet to fulfill the expectations of rural citizen which is mainly due to own resources constraints including miserable local resources mobilization. This paper focuses on Union Parishads recent revenue trend and performance from five years secondary data (2003-2007) and primary data collected from Parishad ...

BACKGROUND Tens of millions of patients worldwide suffer disabling injuries or death every year due to unsafe medical care. Nonetheless, there is a scarcity of research evidence on how to tackle this global health priority. The shortage of trained researchers is a major limitation, particularly in developing and transitional countries. OBJECTIVES As a first step to strengthen capacity in this...

Mixtures of Experts combine the outputs of several “expert” networks, each of which specializes in a different part of the input space. This is achieved by training a “gating” network that maps each input to a distribution over the experts. Such models show promise for building larger networks that are still cheap to compute at test time, and more parallelizable at training time. In this this w...

A new learning strategy is proposed for training of radial basis functions (RBF) network. We apply two different local optimization methods to update the output weights in training process, the gradient method and a combination of the gradient and Newton methods. Numerical results obtained in solving nonlinear integral equations show the excellent performance of the combined gradient method in ...

Accurate species identification is fundamental when recording ecological data. However, the ability to correctly identify organisms visually is rarely questioned. We investigated how experts and non-experts compared in the identification of bumblebees, a group of insects of considerable conservation concern. Experts and non-experts were asked whether two concurrent bumblebee images depicted the...