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Using a panel data set of Chinese manufacturing listed companies, this paper investigates the impact of debt financing on investment of companies. It is found that debt has a significantly negative effect on investment in the whole samples. In order to distinguish the influence mechanism of debt financing on investment, the paper divides the whole sample into two sub-groups according to growth opportunity...
Early detection of cancer is crucial for successful treatments. High throughput and high resolution mass spectrometry are increasingly used for disease classification. In this paper a novel cancer classification method called Null space based linear discriminant analysis (NS-LDA) is proposed. NSLDA first extracts the first order derivative information of the mass spectrometry profiles. Based on the...
In this study, we took a spatial visualization approach instead of a numeric indicator to describe the spatial inequality of development in Xinjiang. Spatial mean in geo-statistics was used as a measurement of spatial equality. The values of spatial mean for GDP level were plotted on the map by geographic information system of prefecture level data. We can see clearly that: (1) the economic gravity...
A modified genetic algorithm for global path planning of searching robot in mine disasters is proposed in this paper. The grid model is built based on the mine GIS (Geographic Information System) which can be obtained from the mine in advance. Using the position information feedback from the Ant Colony Optimization and priority grouping, we present a new efficient method to generate the initial population...
Many studies have been proposed to identify gene makers that are associated with cancers, but the found markers are approach dependent. For example, the results are correlated with classifiers in supervised feature selection, and many of them didn't consider the influences of other factors, such as the grades or stages of cancers. In this study, we proposed a supervised SVD approach to extract the...
In recent years, remarkable attention has been focused on software aging phenomena, in which the performance of software systems degrades with time. Fault-tolerant software systems which provide high assurance may suffer from such phenomena. Based on the common software-aging-related faults in fault-tolerant systems, a behavior model of a double-version fault-tolerant software system is established...
In this paper, a novel face recognition method called gabor-based discriminant locality preserving projections (Gabor-DLPP) is proposed. Locality preserving projections (LPP) is a recently proposed method for linear dimensionality reduction. Gabor-DLPP first gets the high-order statistic information by calculating the Gabor wavelet representation of face images. Based on LPP, Gabor-DLPP takes into...
A new kind of clustering algorithm called LOCAHID is presented in this paper. LOCAHID views each potential cluster as a tight coupling structure, which can be described by a density tree. Every density tree is dynamically generated according to its local density distribution. Those "closer" clusters are merged if some conditions are satisfied. In order to extend its applications to large...
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