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Background and purpose: Long non-coding RNA small nucleolar RNA host gene 5 (lncRNA SNHG5) plays a cancer-promoting role in many cancers, however its effect on colorectal cancer (CRC) and its regulatory mechanism are not clear. This study aimed to explore the mechanism of lncRNA SNHG5/miR-26a-5p/metadherin (MTDH) signal axis promoting metastasis of CRC. Methods: The data of The Cancer Genome Atlas (TCGA) database was analyzed, the abnormal expression of lncRNA in CRC was explored and analyzed the survival. Samples of CRC, paracancerous tissues and complete clinical data of patients who underwent surgical resection from October 2012 to October 2016 were collected. The expression levels of SNHG5 and miR-26a-5p in lncRNA were detected by real-time fluorescence quantitative polymerase chain reaction (RTFQ-PCR), and the expression level of MTDH was detected by immunohistochemistry. The relationship between the relative expression level of lncRNA SNHG5 in CRC and clinicopathological features and survival time was analyzed. The effects of lncRNA SNHG5 on the proliferation, migration and invasion of CRC cells were detected by cell counting kit-8 (CCK-8), clone formation, scratching assays, transwell test and in vivo xenotransplantation. The relationship between CRC cell metastasis, the expression level of epithelial-mesenchymal transition related molecules and lncRNA SNHG5 expression level by Western blot and immunohistochemical detection were explored. The physical interaction between SNHG5 and miR-26a-5p, MTDH and miR-26a-5p was studied by RNA pull-down test, double luciferase reporter gene detection and RNA co-immunoprecipitation. The functional relationship among the three was verified by CCK-8, EdU and transwell experiments. The effect of SNHG5, miR-26a-5p and MTDH expression on migration and invasion related molecules was analyzed by Western blot. Results: The results of TCGA database analysis showed that lncRNA SNHG5 was significantly upregulated in CRC. The results of RTFQ-PCR and immunohistochemistry showed that the levels of lncRNA SNHG5 and MTDH in CRC tissues were significantly upregulated (P

In the environmental event of hazardous release into river, quick and accurate identification of the contamination source is important for emergence response. Generally, given a noisy and finite set of monitoring information, determining the source items (i.e. location, strength and release time) is an ill-posed inverse problem. In this study, a Markov chain Monte Carlo method combined with advection-dispersion equation (ADE) was proposed for the source identification of contamination event in river system based on a Bayesian probabilistic inferential framework. Case study with analytical solution for one-dimensional ADE showed that the proposed methodology was effective and the mean posterior errors for all source parameters were lower than 3%. Case simulation based on two-dimensional ADE with numerical solution obtained similar results and further demonstrated the utility of the proposed approach for source identification. We hope the study will provide a helpful guidance to develop approach for contamination event source identification to support environmental risk management of river system.