evaluate the performance of companies on the stock exchange using non-parametric methods is very important. dea and dea-r with the strategies for piecewise linear frontier production function and use of available data, assess the stock company. in this study, using a neural network algorithm dea and dea-r is suggested to classify the first companies in the stock exchange; secondly, using the co...

Altered functional connectivity (FC) between the medial prefrontal cortex (mPFC) and amygdala is widely implicated as a neural mechanism explaining risk for psychopathology among those exposed to early life trauma. Nonetheless, contemporary neuroimaging research has shifted toward large-scale network models of brain function, and it is not clear how this common bi-nodal finding fits into larger...

Progress in understanding the global brain dynamics has remained slow to date in largepart because of the highly multiscale nature of brain activity. Indeed, normal braindynamics is characterized by complex interactions between multiple levels: from themicroscopic scale of single neurons to the mesoscopic level of local groups of neurons,and finally to the macroscopic level of t...

Progress in understanding the global brain dynamics has remained slow to date in largepart because of the highly multiscale nature of brain activity. Indeed, normal braindynamics is characterized by complex interactions between multiple levels: from themicroscopic scale of single neurons to the mesoscopic level of local groups of neurons,and finally to the macroscopic level of t...

State-of-the-art software tools for neuronal network simulations scale to the largest computing systems available today and enable investigations of large-scale networks of up to 10 % of the human cortex at a resolution of individual neurons and synapses. Due to an upper limit on the number of incoming connections of a single neuron, network connectivity becomes extremely sparse at this scale. ...

Despite extensive studies on networking, managing a large-scale network remains highly expensive and challenging. Managing a network today costs up to four times as much as building it, and yet the majority of outages still result from management faults rather than equipment failures. My research precisely addresses this problem by designing, building, and deploying architectural solutions that...

Terminodes are personal devices that provide functionality of both the terminals and the nodes of the network. A network of terminodes is an autonomous, fully self-organized, wireless network, independent of any infrastructure. It must be able to scale up to millions of units, without any xed backbone or server. In this paper we present the main challenges and discuss the main technical directi...