1.Research on equipment purchase approval and software system
China Medical Equipment 2009;(8):4-8
The factor and question about equipment purchase approval and management were discussed in this paper.Solutions of how to improve the efficiency and transparence on the equipment purchase and management were put forward.According to this,A Manage System had been designed which made the equipment application,demonstration,verification,bidding,checking and accepting become fluency and dynamic.All the data can be checked from the computer.The working course state is clear at a glance.
2.Study on Rapid Elemental Analysis of Tibetan Medicine “GTso Thal” by LIBS Technique
Xiaona LIU ; Xinyuan SHI ; Shuaiyun JIA ; Na ZHAO ; Zhisheng WU ; Yanjiang QIAO
World Science and Technology-Modernization of Traditional Chinese Medicine 2014;(12):2582-2585
Laser-induced breakdown spectroscopy (LIBS) was applied to perform qualitative research on Tibetan medicine “GTso Thal” in order to establish a rapid element analysis method . The Nd: YAG laser with the funda-mental frequency at 1064 nm was used. A high-power laser beam was focused on the surface of the sample. The spectrometer and CCD was used to detect its spectrum signals. Based on the National Institute of Standards and Technology (NIST) database, emission spectrum characteristics were differentiated. The LIBS spectra of “GTso Thal”showed multi-elements including Hg, Ca, Na, As, Fe, Mg, Al, K, Li, Pb, Ag, Au and S. Among them, Hg, Pb, Ag and Au were heavy mental elements. The results demonstrated that LIBS was a viable technique for analysis of Ti-betan medicine “GTso Thal”. LIBS provided reliable elemental analysis on Tibetan medicine “GTso Thal”. The de-tection was real-time, rapid and in situ. It had prospects in the elemental analysis of ethnic medicine study. LIBS had broad application prospects.
3.Correction to: Comprehensive Management of Daily Living Activities, behavioral and Psychological Symptoms, and Cognitive Function in Patients with Alzheimer's Disease: A Chinese Consensus on the Comprehensive Management of Alzheimer's Disease.
Jianjun JIA ; Jun XU ; Jun LIU ; Yongjun WANG ; Yanjiang WANG ; Yunpeng CAO ; Qihao GUO ; Qiuming QU ; Cuibai WEI ; Wenshi WEI ; Junjian ZHANG ; Enyan YU
Neuroscience Bulletin 2022;38(3):337-338