Automatic determination of stellar atmospheric parameters and construction of stellar spectral templates of the Guoshoujing Telescope (LAMOST)

A number of spectroscopic surveys have been carried out or are planned to study the origin of the Milky Way. Their exploitation requires reliable automated methods and softwares to measure the fundamental parameters of the stars. Adopting the ULySS package, we have tested the effect of different resolutions and signal-to- noise ratios （SNR） on the measurement of the stellar atmospheric parameters （effective temperature Teff, surface gravity log g, and metaUicity [Fe/H]）. We show that ULySS is reliable for determining these parameters with medium-resolution spectra （R ～2000）. Then, we applied the method to measure the parameters of 771 stars selected in the commissioning database of the Guoshoujing Telescope （LAMOST）. The results were compared with the SDSS/SEGUE Stellar Parameter Pipeline （SSPP）, and we derived precisions of 167 K, 0.34dex, and 0.16dex for Teff, logg and [Fe/H] respectively. Furthermore, 120 of these stars are selected to construct the primary stellar spectral template library （Version 1.0） of LAMOST, and will be deployed as basic ingredients for the LAMOST automated parametrization pipeline.

广东97家医院冠心病不合理用药处方分析及影响因素

目的:探讨冠心病处方不合理用药现状及影响因素,为药师处方审核提供参考,促进临床合理用药。方法:对广东省97家医院在2018年8-10月的1000张门诊冠心病不合理处方进行处方审核,分析不合理用药类别及影响因素。结果:1 000张冠心病不合理处方中,联合用药不合理占53%,用法用量不合理占37.3%,遴选药物不合理占23.5%。冠心病各类药物的不合理用药类别存在统计学差异(P<0.001)。处方中使用氯吡格雷、合并使用抗凝药物或合并房颤是导致抗血栓用药不合理的主要影响因素。结论:处方医师和审方药师需重视各类冠心病治疗药物的不合理用药情况,尤其是联合用药不合理和抗血栓药物使用不合理情况,保障患者用药安全。