METHODS This survey was based on the Rapid Assessment of Cataract Surgical Services protocol. 17,18 The detailed methods have been described elsewhere. 19 Of Timor-Leste’s 13 districts, 1 rural and 1 ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Hard. If I had the same practical problem, I would just install a library specifically designed for layouting and then convert between my graph data structure and the library's format.

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike.

Several Rapides Parish restaurants had critical health violations between June 9-20, 2025, according to the Louisiana Department of Health. Osaka Ramen had the most violations with eight ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

From planning to trailblazing, discover the world of data management in this guide. Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. At its ...

Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

Understanding the underlying graph structure of a nonlinear map over a particular domain is essential in evaluating its potential for real applications. In this paper, we investigate the structure of ...

Here, molecular graphs derived from the one-electron density matrix are introduced within a more general effort to explore whether incorporating electronic structure awareness allows a single model to ...