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Environ Sci Pollut Res Int ; 26(11): 11000-11011, 2019 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-30783932


With the rapid economic development in the past decades, industrialization and urbanization in China has also rapidly developed and will continue in the next decades. However, the regional water shortage has posed great challenges for the sustainable development of big cities especially in north China. Here, we used the water ecological footprint model combined with the system dynamic model to assess the water resource carrying capacity and its sustainability in Zhangjiakou City, a typical water shortage city in north China. The calculated results showed that irrigation was the largest water consumer in Zhangjiakou. There existed a clear gap between water supply and water consumption in this city and such a gap is demonstrated by the high water resource pressure index. Our predicted results based on the water resource ecological footprint and the system dynamic model showed that although the improving water use efficiency has relieved the regional water shortage pressure, the efficiency gained would be to a large degree offset by increased water demands due to the increasing economic development. The annual average water shortage in Zhangjiakou in 2007-2050 would be up to 8.53 × 108 m3, nearly half of the total local average annual water resource. To deal with the severe water shortage over the next three decades, great attention should be paid to scientific water resource managements and water pollution control. This research provides a long-term view of water resource pressure and provides recommendations for a sustainable water use under the rapid regional socioeconomic development.

Conservação dos Recursos Naturais/economia , Monitorização de Parâmetros Ecológicos/métodos , Desenvolvimento Econômico , Modelos Teóricos , Recursos Hídricos/provisão & distribução , Abastecimento de Água/economia , China , Cidades , Desenvolvimento Sustentável/economia , Urbanização
Environ Pollut ; 223: 676-684, 2017 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-28196722


Inter-basin water transfer projects might cause complex hydro-chemical and biological variation in the receiving aquatic ecosystems. Whether machine learning models can be used to predict changes in phytoplankton community composition caused by water transfer projects have rarely been studied. In the present study, we used machine learning models to predict the total algal cell densities and changes in phytoplankton community composition in Miyun reservoir caused by the middle route of the South-to-North Water Transfer Project (SNWTP). The model performances of four machine learning models, including regression trees (RT), random forest (RF), support vector machine (SVM), and artificial neural network (ANN) were evaluated and the best model was selected for further prediction. The results showed that the predictive accuracies (Pearson's correlation coefficient) of the models were RF (0.974), ANN (0.951), SVM (0.860), and RT (0.817) in the training step and RF (0.806), ANN (0.734), SVM (0.730), and RT (0.692) in the testing step. Therefore, the RF model was the best method for estimating total algal cell densities. Furthermore, the predicted accuracies of the RF model for dominant phytoplankton phyla (Cyanophyta, Chlorophyta, and Bacillariophyta) in Miyun reservoir ranged from 0.824 to 0.869 in the testing step. The predicted proportions with water transfer of the different phytoplankton phyla ranged from -8.88% to 9.93%, and the predicted dominant phyla with water transfer in each season remained unchanged compared to the phytoplankton succession without water transfer. The results of the present study provide a useful tool for predicting the changes in phytoplankton community caused by water transfer. The method is transferrable to other locations via establishment of models with relevant data to a particular area. Our findings help better understanding the possible changes in aquatic ecosystems influenced by inter-basin water transfer.

Ecossistema , Monitoramento Ambiental , Aprendizado de Máquina , Fitoplâncton/isolamento & purificação , Microbiologia da Água , Recursos Hídricos , China , Clorófitas/citologia , Cianobactérias/citologia , Cianobactérias/isolamento & purificação , Diatomáceas/citologia , Diatomáceas/isolamento & purificação , Redes Neurais (Computação) , Fitoplâncton/citologia , Estações do Ano , Máquina de Vetores de Suporte
Med Sci Monit ; 22: 4164-4168, 2016 Nov 03.
Artigo em Inglês | MEDLINE | ID: mdl-27807338


BACKGROUND Angiogenesis plays a significant role in complex inflammatory and angiogenic processes and is also involved in multiple myeloma (MM) pathogenesis. IL-37 is a proinflammatory cytokine in antitumor activity. Our purpose was to evaluate the IL-37 clinical significance on MM. MATERIAL AND METHODS We measured serum levels of IL-37 in 45 patients with different stages of MM and 30 healthy control subjects and correlated IL-37 with numerous cytokines, such as angiogenesis factors including vascular endothelial growth factor (VEGF) and angiotensin-2 (Ang-2). We also measured the tube formation of human umbilical vein endothelial cells (HUVECs) after pretreatment with recombinant human IL-37 (rhIL-37). RESULTS Serum IL-37 level was lower in the patients with MM than in the healthy control subjects, whereas VEGF and Ang-2 levels were higher, depending on International Staging System stage. Serum IL-37 level had a negative correlation to VEGF and Ang-2 levels, and VEGF had a positive correlation to Ang-2 level. The tube formation of HUVECs was suppressed by the rhIL-37 pretreatment. CONCLUSIONS Our results indicate that serum level of IL-37 plays a part in the pathophysiology of MM progression. Therefore, IL-37 serum level may be a biomarker for disease stage and angiogenesis processes.

Interleucina-1/sangue , Mieloma Múltiplo/sangue , Neovascularização Patológica/sangue , Adulto , Idoso , Idoso de 80 Anos ou mais , Angiopoietina-2/metabolismo , Estudos de Casos e Controles , Demografia , Feminino , Células Endoteliais da Veia Umbilical Humana/metabolismo , Humanos , Masculino , Pessoa de Meia-Idade , Fator A de Crescimento do Endotélio Vascular/metabolismo
Zhongguo Shi Yan Xue Ye Xue Za Zhi ; 22(5): 1485-9, 2014 Oct.
Artigo em Chinês | MEDLINE | ID: mdl-25338613


The isocitrate dehydrogenase (IDH) gene mutation has been recently found, which may be involved in the occurrence of leukemia. The incidence of IDH gene mutation in the patients with adult acute myeloid leukemia (AML) is high, especially in the AML patients with normal karyotype. Different subtype and molecular biology of IDH display a different effect on the AML prognosis. This gene mutation is related with treatment response, residual, recurrence of leukemia, and it could be a sign of test and a monitoring tool of minimal residual disease (MRD). The IDH gene mutation may be an index for predicting prognosis and guiding therapy. In this article, the research progress of IDH gene mutation and its correlation with acute myeloid leukemia, especially with the clinical characteristics,are reviewed.

Isocitrato Desidrogenase/genética , Leucemia Mieloide Aguda/genética , Mutação , Humanos , Prognóstico