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1.
Biomedical and Environmental Sciences ; (12): 45-52, 2008.
Article in English | WPRIM | ID: wpr-296085

ABSTRACT

<p><b>OBJECTIVE</b>The human socio-economic development depends on the planet's natural capital. Humans have had a considerable impact on the earth, such as resources depression and environment deterioration. The objective of this study was to assess the impact of socio-economic development on the ecological environment of Wuhan, Hubei Province, China, during the general planning period 2006-2020.</p><p><b>METHODS</b>Support vector machine (SVM) model was constructed to simulate the process of eco-economic system of Wuhan. Socio-economic factors of urban total ecological footprint (TEF) were selected by partial least squares (PLS) and leave-one-out cross validation (LOOCV). Historical data of socio-economic factors as inputs, and corresponding historical data of TEF as target outputs, were presented to identify and validate the SVM model. When predicted input data after 2005 were presented to trained model as generalization sets, TEFs of 2005, 2006,..., till 2020 were simulated as output in succession.</p><p><b>RESULTS</b>Up to 2020, the district would have suffered an accumulative TEF of 28.374 million gha, which was over 1.5 times that of 2004 and nearly 3 times that of 1988. The per capita EF would be up to 3.019 gha in 2020.</p><p><b>CONCLUSIONS</b>The simulation indicated that although the increase rate of GDP would be restricted in a lower level during the general planning period, urban ecological environment burden could not respond to the socio-economic circumstances promptly. SVM provides tools for dynamic assessment of regional eco-environment. However, there still exist limitations and disadvantages in the model. We believe that the next logical step in deriving better dynamic models of ecosystem is to integrate SVM and other algorithms or technologies.</p>


Subject(s)
China , Environmental Pollutants , Socioeconomic Factors
2.
Chinese Journal of Oncology ; (12): 818-821, 2007.
Article in Chinese | WPRIM | ID: wpr-298504

ABSTRACT

<p><b>OBJECTIVE</b>To investigate the anti-tumor effect of intraportal administration of Adv-p53 in the treatment of the liver metastasis in mice.</p><p><b>METHODS</b>2 x 10(5) of MCA-205 cells were injected into the mouse portal vein to establish a murine liver metastasis model. The spleen was transpositioned subcutaneously to enable the administration of Adv-p53 continually into the portal system. Different doses of Adv-p53 were injected intraportally, while HBSS and Adv-CMV were injected intraportaly in the control group. Tumors in the liver were examined on day 21 after Adv-p53 administration.</p><p><b>RESULTS</b>The liver weight in the Adv-p53 treated mice on day 0 group (1.20 +/- 0.34 g) was significantly less than that in the Adv-CMV group (2.59 +/- 0.48 g, P < 0.05). The number of metastatic nodules in the Adv-p53 treated mice on day 0 group (9.0 +/- 9.9) was significantly less than that in the Adv-CMV group (57.1 +/- 11.3, P < 0.05), indicating that intraportal administration of Adv-p53 inhibited the formation of liver metastasis. This anti-tumor effect was in a dose-dependent manner. After the liver metastasis was formed, Adv-p53 was administered intraportally. The liver weight in the Adv-p53 treated mice on day 5 group (1.22 +/- 0.09 g) was significantly less than that in the Adv-CMV group (3.98 +/- 1.01 g , P < 0.05). The number of metastatic nodules in the Adv-p53 treaed mice on day 5 group (5.5 +/- 3.5) was significantly less than that in the Adv-CMV group (113.2 +/- 5.8, P < 0.05). Repeatedly intraportal administration of Adv-p53 could enhance this anti-tumor effect.</p><p><b>CONCLUSION</b>Local administration of Adv-p53 into the portal system would be a useful strategy for the liver metastasis treatment.</p>


Subject(s)
Animals , Female , Mice , Adenoviridae , Genetics , Cell Line, Tumor , Dose-Response Relationship, Drug , Fibrosarcoma , Pathology , Genetic Therapy , Liver Neoplasms, Experimental , Therapeutics , Mice, Inbred C57BL , Neoplasm Transplantation , Recombinant Proteins , Genetics , Therapeutic Uses , Tumor Suppressor Protein p53 , Genetics , Therapeutic Uses
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