We introduce the network response problem (Su et al. 2014): given a network G = (V,E) and an action a, predict the subnetworkGa = (Va, Ea) that responses to the action, that is, which nodes v ∈ Va perform the action, and which directed edges e = (v, u) ∈ Ea relay the action from v to an adjacency node u. We assume that G is directed, and any undirected network can be seen as a special case. We ...

Adapting radiation delivery to respiratory motion is made possible through corrective action based on real-time feedback of target position during respiration. The advantage of this approach lies with its ability to allow tighter margins around the target while simultaneously following its motion. A significant hurdle to the successful implementation of real-time target-tracking-based radiation...

in order to evaluate the response of emergence rate of oil seed rape seedlings to temperature, a pot experiment was conducted to assess the relationship between emergence rate of three rape seed cultivars (apetalous flower, rgs003 and syn3) by using a non-linear regression against temperature variation. six models (tooth shape, segmented, beta, curve, quadratic and cubic) were used and the supe...

This Article contains a typographical error in the Results section under the subheading 'Method Comparison'. " In order to better understand the accuracy of our method, we compare it against the top performing approach in the DREAM Drug Sensitivity Prediction Challenge, Gonen and Margolin's kernelized Bayesian multitask learning (KBMTL) algorithm 19 ". should read: " In order to better understa...

Model-based predictive control (MPC) is one of the most efficient techniques that is widely used in industrial applications. In such controllers, increasing the prediction horizon results in better selection of the optimal control signal sequence. On the other hand, increasing the prediction horizon increase the computational time of the optimization process which make it impossible to be imple...