The interaction history between users and items is usually stored and displayed in the form of bipartite graphs.Neural network recommendation based on the user-item bipartite graph has a significant effect on alleviating the long-standing data sparseness and cold start of the recommendation system.The whole paper is based on the bipartite graph.An

Aim: To provide an insight into the current issues in assessing visually symptomatic readers and the role of the orthoptist in the management of these patients.Methods: A literature-based review was undertaken to investigate the assessment of patients presenting with visual symptoms associated with reading.Areas related to binocular vision Bullet P

Abstract Gene and protein networks offer a powerful approach for integration of the disparate yet complimentary types of data that result from high-throughput analyses.Although many tools and databases are currently available for accessing such data, they are left unutilized by bench scientists as they generally lack Digital Communication Wire Harn