نتایج جستجو برای: global policy networks

تعداد نتایج: 1081530  

Journal: :Science 2007
Andrew Dearing

As activities that relate to innovation become increasingly global and open and so draw the private and public sectors into complex networks of partnerships, these activities also tend to concentrate where the ecosystem is most supportive. European public policy, which in recent years has emphasized the importance of research and development (R&D) in achieving competitive knowledge-based societ...

Journal: :Nature Reviews Genetics 2004

2014
Jason Blake Cohen Chien Wang John M. Reilly

The MIT Joint Program on the Science and Policy of Global Change combines cutting-edge scientific research with independent policy analysis to provide a solid foundation for the public and private decisions needed to mitigate and adapt to unavoidable global environmental changes. Being data-driven, the Program uses extensive Earth system and economic data and models to produce quantitative anal...

Journal: :Clinical Infectious Diseases 2019

Journal: :SSRN Electronic Journal 2016

G Bodeker

Due to rising demand for traditional complementary and alternative medicine (TCAM) globally, international ministerial groups and professional bodies have been calling for a global perspective on policy and a means for countries to share information and policy initiatives with one another. The WHO Global Atlas is designed to: assess the status of development of the sector; plan for further deve...

2012
Benjamin D. Smith Guy E. Garnett

Neural networks and recurrent neural networks have been employed to learn, generalize, and generate musical examples and pieces. Yet, these models typically suffer from an inability to characterize and reproduce the long-term dependencies of musical structure, resulting in products that seem to wander aimlessly. We describe and examine three novel hierarchical models that explicitly operate on ...

Hamid Reza Alipour Mohammad Kavoosi Kelashemi Mohammad Reza Pakravan

In the present study Iran’s rice imports trend is forecasted, using artificial neural networks and econometric methods, during 2009 to 2013, and their results are compared. The results showed that feet forward neural network leading with less forecast error and had better performance in comparison to econometric techniques and also, other methods of neural networks, such as Recurrent networks a...

Journal: :SSRN Electronic Journal 2003

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