AIM: To investigate the tissue distribution, urinary and fecal excretions of 125I-lidamycin (125I-C-1027) in mice and its biliary excretion in rats. METHODS:The total radioactivity assay (RA method) and the radioactiv...AIM: To investigate the tissue distribution, urinary and fecal excretions of 125I-lidamycin (125I-C-1027) in mice and its biliary excretion in rats. METHODS:The total radioactivity assay (RA method) and the radioactivity assay after precipitation with 200 mL/L trichloroacetic add (TCA-RA method) were used to dete-rmine the tissue distribution,and the urinary and fecal excretions of 125I-C-1027 in mice and its biliary excretion in rats. RESULTS:Tissue concentrations reached the peak at the fifth minute after administration of 125I-C-1027 to mice. The highest concentration was in kidney, and the lowest in brain at all test-time points. The organs of the concentrations of 125I-C-1027 from high to low were kidney, lung, liver, stomach, spleen, uterus, ovary, intestine, muscle, heart, testis, fat, and brain in mice. The accumulative excretion amounts of 0-24 h, and 0-96 h after administration of 125I-C-1027 were 68.36 and 71.64% in urine, and 2.60 and 3.21% in feces of mice, respectively, and the accumulative excretion amount of 0-24 h was 3.57% in bile in rats. CONCLUSION: Our results reflect the characteristics of the tissue distribution, urinary and fecal excretions of 125I-C-1027 in mice and the biliary excretion of 125I-C-1027 and its metabolites in rats, and indicate that 125I-C-1027 and its metabolites are mainly distributed in kidney, and excreted in urine.展开更多
There has been considerable debate about the major factors responsible for the dramatic decline of China＇s energy intensity in the 1980s and 1990s. However, few detailed analysis has been done to explain the fluctuat...There has been considerable debate about the major factors responsible for the dramatic decline of China＇s energy intensity in the 1980s and 1990s. However, few detailed analysis has been done to explain the fluctuation in energy intensity during 2002-005. In this paper, we use the structural decomposition analysis （SDA） to decompose energy intensity into five determining factors： Energy input coefficient, technology coefficient （Leontief inverse coefficient）, final demands structure by product, final demands by category and final energy consumption coefficient. We then further decompose two coefficients, energy input coefficient and technology coefficient, into structure and real coefficient. Empirical study is carried out based on the energy-input-output tables from 1987 to 2005 in 2000 constant price. The results show that between 1987 and 2002, energy input structure accounts for most of the decline in energy intensity. However, the input structure and final demands structure by product explain the increase of the energy intensity between 2002 and 2005.展开更多
The 16 April 2016 earthquake in Ecuador exposed the significant weaknesses concerning the methodological designs to compute—from an economic standpoint—the consequences of a natural hazard-related disaster for produ...The 16 April 2016 earthquake in Ecuador exposed the significant weaknesses concerning the methodological designs to compute—from an economic standpoint—the consequences of a natural hazard-related disaster for productive exchanges and the accumulation of capital in Ecuador.This study addressed one of these challenges with an innovative ex ante model to measure the partial and net short-term effects of a natural hazard-related catastrophe from an interregional perspective,with the 16 April 2016 earthquake serving as a case study.In general,the specified and estimated model follows the approach of the extended Miyazawa model,which endogenizes consumption demand in a standard input–output model with the subnational interrelations and resulting multipliers.Due to the country’s limitations in its regional account records the input–output matrices for each province of Ecuador had to be estimated,which then allowed transactions carried out between any two sectors within or outside a given province to be identified by means of the RAS method.The estimations provide evidence that the net short-term impact on the national accounts was not significant,and under some of the simulated scenarios,based on the official information with respect to earthquake management,the impact may even have had a positive effect on the growth of the national product during 2016.展开更多
基金Supported by the National High Technology Research and Development Program of China (863 Program), No. 2003AA2Z347D
文摘AIM: To investigate the tissue distribution, urinary and fecal excretions of 125I-lidamycin (125I-C-1027) in mice and its biliary excretion in rats. METHODS:The total radioactivity assay (RA method) and the radioactivity assay after precipitation with 200 mL/L trichloroacetic add (TCA-RA method) were used to dete-rmine the tissue distribution,and the urinary and fecal excretions of 125I-C-1027 in mice and its biliary excretion in rats. RESULTS:Tissue concentrations reached the peak at the fifth minute after administration of 125I-C-1027 to mice. The highest concentration was in kidney, and the lowest in brain at all test-time points. The organs of the concentrations of 125I-C-1027 from high to low were kidney, lung, liver, stomach, spleen, uterus, ovary, intestine, muscle, heart, testis, fat, and brain in mice. The accumulative excretion amounts of 0-24 h, and 0-96 h after administration of 125I-C-1027 were 68.36 and 71.64% in urine, and 2.60 and 3.21% in feces of mice, respectively, and the accumulative excretion amount of 0-24 h was 3.57% in bile in rats. CONCLUSION: Our results reflect the characteristics of the tissue distribution, urinary and fecal excretions of 125I-C-1027 in mice and the biliary excretion of 125I-C-1027 and its metabolites in rats, and indicate that 125I-C-1027 and its metabolites are mainly distributed in kidney, and excreted in urine.
基金supported by the National Natural Science Foundation of China under Grant Nos.70871108, 70810107020
文摘There has been considerable debate about the major factors responsible for the dramatic decline of China＇s energy intensity in the 1980s and 1990s. However, few detailed analysis has been done to explain the fluctuation in energy intensity during 2002-005. In this paper, we use the structural decomposition analysis （SDA） to decompose energy intensity into five determining factors： Energy input coefficient, technology coefficient （Leontief inverse coefficient）, final demands structure by product, final demands by category and final energy consumption coefficient. We then further decompose two coefficients, energy input coefficient and technology coefficient, into structure and real coefficient. Empirical study is carried out based on the energy-input-output tables from 1987 to 2005 in 2000 constant price. The results show that between 1987 and 2002, energy input structure accounts for most of the decline in energy intensity. However, the input structure and final demands structure by product explain the increase of the energy intensity between 2002 and 2005.
文摘The 16 April 2016 earthquake in Ecuador exposed the significant weaknesses concerning the methodological designs to compute—from an economic standpoint—the consequences of a natural hazard-related disaster for productive exchanges and the accumulation of capital in Ecuador.This study addressed one of these challenges with an innovative ex ante model to measure the partial and net short-term effects of a natural hazard-related catastrophe from an interregional perspective,with the 16 April 2016 earthquake serving as a case study.In general,the specified and estimated model follows the approach of the extended Miyazawa model,which endogenizes consumption demand in a standard input–output model with the subnational interrelations and resulting multipliers.Due to the country’s limitations in its regional account records the input–output matrices for each province of Ecuador had to be estimated,which then allowed transactions carried out between any two sectors within or outside a given province to be identified by means of the RAS method.The estimations provide evidence that the net short-term impact on the national accounts was not significant,and under some of the simulated scenarios,based on the official information with respect to earthquake management,the impact may even have had a positive effect on the growth of the national product during 2016.
