Three treatments were tested to investigate the release concentrations of volatile organic compounds(VOCs)during the bio-drying of municipal solid waste(MSW)by the aerobic and combined hydrolytic-aerobic processes.Res...Three treatments were tested to investigate the release concentrations of volatile organic compounds(VOCs)during the bio-drying of municipal solid waste(MSW)by the aerobic and combined hydrolytic-aerobic processes.Results showed that VOCs were largely released in the first 4 days of bio-drying and the dominant components were:dimethyl disulfide,dimethyl sulfide,benzene,2-butanone,limonene and methylene chloride.Thus,the combined hydrolytic-aerobic process was suggested for MSW bio-drying due to fewer aeration quantities in this phase when compared with the aerobic process,and the treatment strategies should base on the key properties of these prominent components.Malodorous sulfur compounds and terpenes were mainly released in the early phase of bio-drying,whereas,two peaks of release concentrations appeared for aromatics and ketones during bio-drying.Notably,for the combined hydrolytic-aerobic processes there were also high concentrations of released aromatics in the shift from hydrolytic to aerobic stages.High concentrations of released chlorinateds were observed in the later phase.For the VOCs produced during MSW bio-drying,i.e.,malodorous sulfur compounds,terpenes and chlorinateds,their release concentrations were mainly determined by production rates;for the VOCs presented initially in MSW,such as aromatics,their transfer and transport in MSW mainly determined the release concentrations.展开更多
INTRODUCTIONDendritic cells (DCs) play a key regulatory role inantitumor immunity,especially in its immuneaccessory role via MHC-Ⅰ molecules.We haverecently reported that DCs were able to enhance thekilling activity ...INTRODUCTIONDendritic cells (DCs) play a key regulatory role inantitumor immunity,especially in its immuneaccessory role via MHC-Ⅰ molecules.We haverecently reported that DCs were able to enhance thekilling activity of Lymphokine and PHA activatedkiller (LPAK) cells in vitro.In the presentstudy,we evaluated the effects of GM-CSF andTNF upon antitumor activities of freshly展开更多
The combination of levofloxacin and a1 adrenergic antagonist treatment is the current preferred choice for both bacterial and non-bacterial prostatitis. The aim of this study is to explore the influence of a1 adrenerg...The combination of levofloxacin and a1 adrenergic antagonist treatment is the current preferred choice for both bacterial and non-bacterial prostatitis. The aim of this study is to explore the influence of a1 adrenergic antagonists on the pharmacokinetics of levofloxacin using rat models with acute bacterial prostatitis （ABP） induced by direct injection with Escherichia coil （ATCC25922）, A total of 96 model rats were randomly assigned into two groups： the experimental group （treated with both tamsulosin and levofloxacin, n=48） and the control group （treated with levofloxacin and solvents, n=48）. Six rats from each group were euthanized to collect blood, liver, kidney and prostate samples at the time points of 0. 125, 0.25, 0.5, 1,2, 4, 8 and 12 h after drug administration. The levofloxacin concentrations were detected by high performance liquid chromatography （HPLC）, and the pharmacokinetic parameters were calculated using the 3p97 software program. There were no obvious differences （P〉0.05） between the experimental and control groups in the major pharmacokinetic parameters of levofloxacin, including the halftime （t1/2）, time to peak （tpeak）, clearance rate （CL）, maximum concentration （Cmax） and area under the curve （AUC0-12）, in the plasma or in the hepatic and kidney tissues of the model rats. However, in the prostatic tissues, tamsulosin increased the Cmax, prolonged the t1/2 and decreased the CL of levofloxacin （P〈0.05）. These results indicate that tamsulosin may enhance the effect of levofloxacin in the treatment of bacterial prostatitis without changing the drug concentration in the liver and kidney.展开更多
提升负荷预测的准确性对于指导电力系统的生产计划、经济调度以及稳定运行至关重要。提出一种基于变分模态分解(Variational Mode Decomposition,VMD)和长短期记忆(Long Short Term Memory,LSTM)神经网络的短期负荷预测模型。利用VMD算...提升负荷预测的准确性对于指导电力系统的生产计划、经济调度以及稳定运行至关重要。提出一种基于变分模态分解(Variational Mode Decomposition,VMD)和长短期记忆(Long Short Term Memory,LSTM)神经网络的短期负荷预测模型。利用VMD算法将负荷序列分解成不同的本征模态函数(Intrinsic Mode Functions,IMF),每个IMF结合LSTM进行预测,将各部分预测结果叠加得到VMD-LSTM模型的预测结果。分析实验结果,相比单一LSTM和经验模态分解(Empirical Mode Decomposition,EMD)组合LSTM预测方法,该方法能有效的提升负荷预测的准确性。展开更多
基金financially supported by the National Key Technology R&D Program of China(No.2006BAC06B04,2008BAJ08B13)
文摘Three treatments were tested to investigate the release concentrations of volatile organic compounds(VOCs)during the bio-drying of municipal solid waste(MSW)by the aerobic and combined hydrolytic-aerobic processes.Results showed that VOCs were largely released in the first 4 days of bio-drying and the dominant components were:dimethyl disulfide,dimethyl sulfide,benzene,2-butanone,limonene and methylene chloride.Thus,the combined hydrolytic-aerobic process was suggested for MSW bio-drying due to fewer aeration quantities in this phase when compared with the aerobic process,and the treatment strategies should base on the key properties of these prominent components.Malodorous sulfur compounds and terpenes were mainly released in the early phase of bio-drying,whereas,two peaks of release concentrations appeared for aromatics and ketones during bio-drying.Notably,for the combined hydrolytic-aerobic processes there were also high concentrations of released aromatics in the shift from hydrolytic to aerobic stages.High concentrations of released chlorinateds were observed in the later phase.For the VOCs produced during MSW bio-drying,i.e.,malodorous sulfur compounds,terpenes and chlorinateds,their release concentrations were mainly determined by production rates;for the VOCs presented initially in MSW,such as aromatics,their transfer and transport in MSW mainly determined the release concentrations.
基金Natural Science Foundation of the Higher Education Office of Guangdong Province,No.19952901
文摘INTRODUCTIONDendritic cells (DCs) play a key regulatory role inantitumor immunity,especially in its immuneaccessory role via MHC-Ⅰ molecules.We haverecently reported that DCs were able to enhance thekilling activity of Lymphokine and PHA activatedkiller (LPAK) cells in vitro.In the presentstudy,we evaluated the effects of GM-CSF andTNF upon antitumor activities of freshly
文摘The combination of levofloxacin and a1 adrenergic antagonist treatment is the current preferred choice for both bacterial and non-bacterial prostatitis. The aim of this study is to explore the influence of a1 adrenergic antagonists on the pharmacokinetics of levofloxacin using rat models with acute bacterial prostatitis （ABP） induced by direct injection with Escherichia coil （ATCC25922）, A total of 96 model rats were randomly assigned into two groups： the experimental group （treated with both tamsulosin and levofloxacin, n=48） and the control group （treated with levofloxacin and solvents, n=48）. Six rats from each group were euthanized to collect blood, liver, kidney and prostate samples at the time points of 0. 125, 0.25, 0.5, 1,2, 4, 8 and 12 h after drug administration. The levofloxacin concentrations were detected by high performance liquid chromatography （HPLC）, and the pharmacokinetic parameters were calculated using the 3p97 software program. There were no obvious differences （P〉0.05） between the experimental and control groups in the major pharmacokinetic parameters of levofloxacin, including the halftime （t1/2）, time to peak （tpeak）, clearance rate （CL）, maximum concentration （Cmax） and area under the curve （AUC0-12）, in the plasma or in the hepatic and kidney tissues of the model rats. However, in the prostatic tissues, tamsulosin increased the Cmax, prolonged the t1/2 and decreased the CL of levofloxacin （P〈0.05）. These results indicate that tamsulosin may enhance the effect of levofloxacin in the treatment of bacterial prostatitis without changing the drug concentration in the liver and kidney.
文摘提升负荷预测的准确性对于指导电力系统的生产计划、经济调度以及稳定运行至关重要。提出一种基于变分模态分解(Variational Mode Decomposition,VMD)和长短期记忆(Long Short Term Memory,LSTM)神经网络的短期负荷预测模型。利用VMD算法将负荷序列分解成不同的本征模态函数(Intrinsic Mode Functions,IMF),每个IMF结合LSTM进行预测,将各部分预测结果叠加得到VMD-LSTM模型的预测结果。分析实验结果,相比单一LSTM和经验模态分解(Empirical Mode Decomposition,EMD)组合LSTM预测方法,该方法能有效的提升负荷预测的准确性。
