Search

The abnormal expression of nuclear factor kappa B (NF-κB) target genes is closely related to the occurrence, metastasis, and invasion of tumor cells and is an inhibitor of their apoptosis. In recent years, the unique biodiversity in the marine environment has aroused great interest. Many studies indicate that some marine compounds exert anticancer effects on most common human tumors by modulating the NF-κB signaling pathway. In this study, 26 marine compounds that reduce cancer cell survival by suppressing the NF-κB signaling pathway were reviewed. They were derived from a wide range of sources, including sponges, fungi, algae and their derivatives or metabolites. These marine compounds exert antitumor effects through the canonical, noncanonical and atypical NF-κB signaling pathways; however, most of their anticancer targets and mechanisms remain unclear, and more research is needed in the future. Our article provides comprehensive information for researchers investigating the bioactivities of marine compounds and developing marine-derived anticancer drugs. [ABSTRACT FROM AUTHOR]

The primary object of this paper is to examine the spatial-temporal pattern evolution of manufacturing geographical agglomeration of the old industrial base. Industrial spatial agglomeration index and concentration ratio are used in this paper. Multiple linear regression models are also applied to try to explore the internal driving mechanisms on manufacturing geographical agglomeration. The results show that: 1) the manufacturing agglomeration degree of Jilin Province is increasing gradually. The spatial polarization structure is visible; and the central region is the agglomeration area, in addition, the manufacturing industries of Changchun Proper present a trend of dispersion; 2) the structure of manufacturing industries has changed, and the concentration ratio of labor-intensive manufacturing industry is declining, while the proportions of technology-intensive and capital-intensive manufacturing industry are relatively rising; 3) marketing level, location accessibility, labor resources, capital, science and technology innovation capability, scale economy and the level of globalization affect manufacturing agglomeration with different degree. There are significant differences of the effects about employment, technology, the quality of residents and the export-oriented market on the industrial concentration ratio; 4) in the future, the impact of policy and institution, export-oriented market and quality of resident on manufacturing geographical agglomeration pattern will be more profound. [ABSTRACT FROM AUTHOR]

Using wavelets methods, Abbaszadeh, Chesneau, Doosti studied the density estimation problem under bias and multiplicative censoring (Stat. Probab. Lett. 82:932-941, 2012), and obtains the convergence rate of wavelet estimators in $L^{2}$ norm for a density function in Besov space. This paper deals with $L^{p}$ risk estimation with $1\leq p<\infty$ based on wavelet bases. Motivated by the work of Youming and Junlian (2014), we construct new estimators: a linear one and a nonlinear adaptive one; an upper bound of wavelet estimators on $L^{p}$ risk for a density function in Besov space is provided, which generalizes Abbaszadeh et al.'s theorems. It turns out that the nonlinear adaptive estimator obtains faster rate of convergence than the linear one for $r< p$. [ABSTRACT FROM AUTHOR]