A new neophysalin, named 5α-hydroxy-25,27-dihydro-4,7-didehydro-7-deoxyneophysalin A（1）, along with three other known neophysalins （2-4） were isolated from the calyxes of Physalis alkekengi L. var.francheti （Ma...A new neophysalin, named 5α-hydroxy-25,27-dihydro-4,7-didehydro-7-deoxyneophysalin A（1）, along with three other known neophysalins （2-4） were isolated from the calyxes of Physalis alkekengi L. var.francheti （Mast.） Makino. The structure of 1 was determined by means of 1D and 2D NMR, UV, IR and mass spectra. Compound 1 displayed potent cytotoxicities in vitro against PC- 3 and LNCaP cell lines.展开更多
Two new maytansinoid compounds, mallotusine and isomallotusine from Mallotus anomalus showed stronq antitumor activity in vitro and in vivo test. Their structures were established by intensive ZD NMR techniques and MS...Two new maytansinoid compounds, mallotusine and isomallotusine from Mallotus anomalus showed stronq antitumor activity in vitro and in vivo test. Their structures were established by intensive ZD NMR techniques and MS spectral analyses as well as comparison with that of maytansine.展开更多
Empirical-likelihood-based inference for the parameters in a partially linear single-index model with randomly censored data is investigated. We introduce an estimated empirical likelihood for the parameters using a s...Empirical-likelihood-based inference for the parameters in a partially linear single-index model with randomly censored data is investigated. We introduce an estimated empirical likelihood for the parameters using a synthetic data approach and show that its limiting distribution is a mixture of central chi-squared distribution. To attack this difficulty we propose an adjusted empirical likelihood to achieve the standard X2-1imit. Furthermore, since the index is of norm 1, we use this constraint to reduce the dimension of parameters, which increases the accuracy of the confidence regions. A simulation study is carried out to compare its finite-sample properties with the existing method. An application to a real data set is illustrated.展开更多
文摘A new neophysalin, named 5α-hydroxy-25,27-dihydro-4,7-didehydro-7-deoxyneophysalin A（1）, along with three other known neophysalins （2-4） were isolated from the calyxes of Physalis alkekengi L. var.francheti （Mast.） Makino. The structure of 1 was determined by means of 1D and 2D NMR, UV, IR and mass spectra. Compound 1 displayed potent cytotoxicities in vitro against PC- 3 and LNCaP cell lines.
基金financial supports from Bayer AGCompany and National Natural Science Foundation of China(Grant Number 30123005)CH thanks the DAAD for a scholarship from its program"Biowissenschaften"
文摘Two new maytansinoid compounds, mallotusine and isomallotusine from Mallotus anomalus showed stronq antitumor activity in vitro and in vivo test. Their structures were established by intensive ZD NMR techniques and MS spectral analyses as well as comparison with that of maytansine.
基金Supported by National Social Science Foundation of China (Grant No. 11CTJ004)National Natural Science Foundation of China (Grant Nos. 11171012 and 11101452)+3 种基金National Natural Science Foundation of Beijing (Grant No. 1102008)Natural Science Foundation Project of CQ CSTC (Grant No. cstcjjA00014)Research Foundation of Chongqing Municipal Education Commission (Grant No. KJ110720)Natural Science Foundation of Guangxi (Grant No. 2010GXNSFB013051)
文摘Empirical-likelihood-based inference for the parameters in a partially linear single-index model with randomly censored data is investigated. We introduce an estimated empirical likelihood for the parameters using a synthetic data approach and show that its limiting distribution is a mixture of central chi-squared distribution. To attack this difficulty we propose an adjusted empirical likelihood to achieve the standard X2-1imit. Furthermore, since the index is of norm 1, we use this constraint to reduce the dimension of parameters, which increases the accuracy of the confidence regions. A simulation study is carried out to compare its finite-sample properties with the existing method. An application to a real data set is illustrated.
