We propose a deep feed-forward neural network architecture for pixel-wise semantic scene labeling. It uses a novel recursive neural network architecture for context propagation, referred to as rCPN. It first maps the local visual features into a semantic space followed by a bottom-up aggregation of local information into a global representation of the entire image. Then a top-down propagation o...

The article provides information about the history of formation, development, main recent activities and achieved results Analytical Technological Research Center Faculty Physics Novosibirsk State University (ATRC NSU) during its 15 years operation. areas physical research are: modern materials science, nanomaterials, nanotechnologies technological processes, experimental diagnostics structures...

Background Since the global economic crisis, a harsher economic climate and global commitments to address the problems of global health and poverty have led to increased donor interest to fund effective health innovations that offer value for money. Simultaneously, further aid effectiveness is being sought through encouraging governments in low- and middle-income countries (LMICs) to strengthen...

A recently-published paper by Wickremasinghe et al assesses the scalability of pilot projects in three countries using the aid effectiveness agenda as an analytical framework. The authors report uneven progress and recommend applying aid effectiveness principles to improve the scalability of projects. This commentary focuses on one key principle of aid effectiveness – country ownership; it desc...

We study the cosmological information of weak lensing (WL) peaks, focusing on two other statistics besides their abundance: the stacked tangential-shear profiles and the peak-peak correlation function. We use a large ensemble of simulated WL maps with survey specifications relevant to future missions like Euclid and lsst, to measure and examine the three peak probes. We find that the auto-corre...