It is a critical issue to compute the shortest paths between nodes in networks. Exact algorithms for shortest paths are usually inapplicable for large scale networks due to the high computational complexity. In this paper, we propose a novel algorithm that is applicable for large networks with high efficiency and accuracy. The basic idea of our algorithm is to iteratively construct higher level...

In this paper, a novel feature selection method is presented, which is based on Class-Separability (CS) strategy and Data Envelopment Analysis (DEA). To better capture the relationship between features and the class, class labels are separated into individual variables and relevance and redundancy are explicitly handled on each class label. Super-efficiency DEA is employed to evaluate and rank ...

Based on the R&D activities of Shanghai’s high-tech industries during 2010 to 2012, this paper uses super efficiency DEA model to analyze and evaluate the R&D efficiency of Shanghai’s hightech industries. The results show that the R&D efficiency of Shanghai’s high-tech industries has dissimilitude. The R&D efficiency values of some high-tech industries are relatively low. There are many redunda...

The Austrian health policy aims to maintain and even expand high-quality health care. The implementation of an integrated master plan, which contains input and output target values for the overall health care system, is an important regulatory intervention. To support the regulatory authorities, efficiency studies that simultaneously reveal input and output improvement potential can be promisin...

This study evaluates the working capital management (WCM) super-efficiency in UAE firms and determines how COVID-19 crisis may affect WCM from a statistical perspective. Data envelopment analysis (DEA), difference tests, Tobit regression techniques are used. Integration of DEA with is required to recognize potential consequence on WCM. The results show that moderate requires decision-makers' co...

We propose an optimization technique for reducing global synchronizations in traditional time-stepped simulations. Time-stepped simulations are known to be efficient when events are frequent or dense. However, when events are less frequent (when compared to the size of time-steps) the performance of time-stepped simulations drop noticeably. This paper aims at improving the performance of tradit...

The subcellular location at which genomic RNA is packaged by Gag proteins during retrovirus assembly remains unknown. Since the membrane-binding (M) domain is most critical for targeting Gag to the plasma membrane, changes to this determinant might alter the path taken through the cell and reduce the efficiency of genome packaging. In this report, a Rous sarcoma virus (RSV) mutant having two ac...

Choosing funds is a general issue for investors, with the aim of balancing potential risks and returns. The this article to use super-efficiency approach analyze rank exchange-traded (ETFs) in order find best utility ETFs. range-adjusted measure (RAM)-based data envelopment analysis (DEA) model used work evaluate set ETFs inefficient funds, while RAM fully RAM-based efficient funds. Other slack...