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As an important nutritional component, vitamin C (Vc) shows good antitumor activity in a variety of cancer, but there are few studies in pulmonary metastasis. In order to verify its anticancer and antimetastatic effect, the study sets up H22 pulmonary metastasis mouse model. The results show that intraperitoneal injection of Vc inhibits pulmonary metastasis through up‐regulating the expression of...
The massive data and complex reservoir environment make the process of well-pattern evaluation inefficient, however, the thought of computing with words provides new idea for intelligent evaluation of injection-production well pattern. Perceptual reasoning method based on firing intervals and one based on similarity are discussed to obtain the output of the engine of computing with words. Firing interval...
In order to solve the unstable problem of conventional methods for measuring resonant frequency of quartz crystal, a method based on DDS (Direct Digital Synthesis) and real-time peak searching is proposed to increase stability of measurement. By actively generating excitation signal using DDS, the response of quartz crystal can be obtained even under heavy load. Frequency response of impedance is...
Aimed at second-order nonlinear multi-agent networks, the finite time distributed tracking control is investigated based on non-smooth analysis method. Assuming that inherent nonlinear dynamics is satisfied with certain condition, distributed hybrid control protocol is proposed with only one agent knowing target dynamics. Sufficient condition is developed to obtain finite time tracking based on differential...
The key of water-flood management is how to extract useful information from the mass of data contained in the injection-production well pattern, and evaluation of injection-production well pattern is the main content of water-flood management. In this paper, the theory of computing with words(CWW) is applied to intelligent evaluation of injection-production well pattern in water-flood reservoir for...
Recently, Nonnegative Matrix Factorization(NMF) has been viewed as an effective method for data engineering for its part-based interpretability and superior performance. However, ordinary NMF merely views a r1 × r2 image as a vector in r1 × r2 dimensional space and the pixels of the image are considered independent. It fails to consider that an image is intrinsically a matrix, and pixels spatially...
This paper proposes two novel methods. First we propose Locality Enhanced Spectral Embedding(LESE) which can make a locality preserving mapping from the original nearest neighbor graph to the real line. It uses a regularized non-nearest penalty based on a non-nearest neighbor graph to enhance the locality of the mapping result. Second we make an efficient method for face recognition task. Previous...
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