b a c k g r o u n d & aim: today, one of the leading causes of pathogenicity and mortality in patients undergoing hemodialysis is their failure to follow the treatment plan. the present research was con- ducted to compare effects of patient-centered  education with family-centered  education on adher- ence with the treatment program. methods & materials: this clinical trial was performed betwee...

The center and the periphery of a graph is the set of vertices with minimum resp. maximum eccentricity in it. A graph is almost self-centered (ASC) if it contains exactly two non-central vertices and is almost peripheral (AP) if all its vertices but one lie in the periphery. Answering a question from (Taiwanese J. Math. 18 (2014), 463–471) it is proved that for any integer r ≥ 1 there exists an...

Computational Linguistics (CL) associated with the Internet of Multimedia Things (IoMT)-enabled multimedia computing applications brings several research challenges, such as real-time speech understanding, deep fake video detection, emotion recognition, home automation, and so on. Due to emergence machine translation, CL solutions have increased tremendously for different natural language proce...

Our aim here is to address the problem of decomposing a whole network into a minimal number of ego–centered subnetworks. For this purpose, the network egos are picked out as the members of a minimum dominating set of the network. However, to find such an efficient dominating ego–centered construction, we need to be able to detect all the minimum dominating sets and to compare all the correspond...

This paper studies learning node representations with graph neural networks (GNNs) for unsupervised scenario. Specifically, we derive a theoretical analysis and provide an empirical demonstration about the non-steady performance of GNNs over different datasets, when supervision signals are not appropriately defined. The depends on both feature smoothness locality structure. To smooth discrepanc...

Deep learning on graphs has attracted significant interests recently. However, most of the works have focused (semi-) supervised learning, resulting in shortcomings including heavy label reliance, poor generalization, and weak robustness. To address these issues, self-supervised (SSL), which extracts informative knowledge through well-designed pretext tasks without relying manual labels, become...

Here we investigate the dynamic self-assembly pathway of ordered gold nanocrystal arrays during the self-assembly of gold nanocrystal micelles, with and without the presence of colloidal silica precursors, using grazing-incidence X-ray scattering performed at a synchrotron source. With silica precursors present, a lattice with rhombohedral symmetry is formed from the partial collapse of a face-...