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Performance degradation assessment based on condition monitoring plays an important role in ensuring reliable operation of equipment, reducing production downtime and saving maintenance costs, yet performance degradation has strong fuzziness, and the dynamic information is random and fuzzy, making it a challenge how to assess the fuzzy bearing performance(More)
BACKGROUND Over-expression and increased activity of cyclooxygenase (COX)-2 induced by smoking has been implicated in the development of cancer. This study aimed to explore the interaction between smoking and functional polymorphisms of COX-2 in modulation of gastric cardia adenocarcinoma (GCA) risk. METHODS AND FINDINGS Three COX-2 polymorphisms,(More)
BMP4 rs4444235 is a candidate susceptibility allele that has been associated with an increased risk of colorectal cancer. This study was conducted to examine the association between BMP4 rs4444235 polymorphism and colorectal cancer risk. Odds ratio (ORs) with 95% CIs was pooled as effect indicator. A comprehensive search of related publications was(More)
Immunotherapy has emerged as a promising strategy for the treatment of metastatic melanoma. Clinical studies have demonstrated the feasibility of cancer immunotherapy using tumor antigens recognized by CD8(+) T cells. However, the overall immune responses induced by these antigens are too weak and transient to induce tumor regression in the majority of(More)
Smad and STAT proteins are critical signal transducers and transcription factors in controlling cell growth and tumorigenesis. Here we report that the STAT3 signaling pathway attenuates transforming growth factor-β (TGF-β)-induced responses through a direct Smad3-STAT3 interplay. Activated STAT3 blunts TGF-β-mediated signaling. Depletion of STAT3 promotes(More)
Fault detection and severity classification are critical to gearbox structural health monitoring. A common approach to fault severity classification is to identify the patterns associated with features extracted from raw sensor data that vary with fault deterioration. Since however features only represent partial information contained in the raw data, they(More)
Aiming at the problem that existing hybrid intelligent models do not take into account the advantages and limitations of different diagnostic methods and fail to achieve complementary advantages of different classifiers, a new model of hybrid intelligent fault diagnosis based on quotient space is proposed. In this model, samples are granulated and granular(More)
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