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Published data regarding the association between the XPC polymorphisms and lung cancer susceptibility remained controversial. This meta-analysis was performed to draw a precise estimation of the relationship. We systematically searched PubMed, Embase, Elsevier, and Web of Science with a time limit of September 10, 2012. Summary odds ratios (ORs) with 95 %(More)
Abscisic acid-responsive element (ABRE)-binding factors (ABFs) play important roles in abiotic stress responses; however, the underlying mechanisms are poorly understood. In this study, it is reported that overexpression of Poncirus trifoliata PtrABF significantly enhanced dehydration tolerance. The transgenic lines displayed smaller stomatal apertures,(More)
Published data regarding the association between XPG Asp1104His polymorphism and bladder cancer risk remained controversial. This meta-analysis of literatures was performed to draw a more precise estimation of the relationship. We systematically searched PubMed, Embase, and Web of Science with a time limit of June 22, 2013. Summary odds ratios (ORs) with 95(More)
To date, epidemiological studies have assessed the association between CYP1A2-164 A/C polymorphism and colorectal cancer susceptibility. However, the results of these studies remained controversial. We aimed to examine the associations by conducting a meta-analysis of case–control studies. A total of 11 studies including 5,093 cases and 5,941 controls(More)
Published data regarding the association between the APE1 Asp148Glu polymorphism and colorectal cancer susceptibility remained controversial. This meta-analysis of literatures was performed to draw a more precise estimation of the relationship. We systematically searched PubMed, Embase, and Web of Science with a time limit of August 19, 2013. Summary odds(More)
Owing to the rapid development of the communication industry, various kinds of radio frequency components are in great demand and put into mass production. Among them, passive devices such as microwave cavity filters, duplexers and combiners have experienced fast and unexpected upgrades. However, the tuning process of these products, which is always(More)
This paper presents a method based on extreme learning machine to learn motions from human demonstrations. We model a motion as an autonomous dynamical system and define sufficient conditions to ensure the global stability at the target. A detailed theoretic analysis is proposed on the constraints regarding to input and output weights which yields a(More)
Wheeled robots usually move fast in relatively even surfaces while losing their major mobility on rough terrains. However, the tracked robots are superior to the wheel-types when they are to move on irregular terrains in spite of lower speed. In this paper, a Wheel-Track Transformation robot which combines the advantages of both mobile types by turning into(More)