Objective To explore the application of a system dynamics(SD) model to military medical expenses in PLA hospitals.Methods According to relevant theories of SD, the study has selected some important variables and defined the primary function relations in order to establish a military medical expenses SD model.Results and Conclusion The SD model is suited to modeling the PLA medical expenses and can serve as a theoretical basis for the policy innovation of the PLA medical system.

Objective To analyze the impact of the declining balance rate in military hospitals during new healthcare reform.Methods A military medical expense model was established,the parameters of the model were changed and the impact of the declining balance rate was analyzed.Results and Conclusion Military hospitals have to face up to the negative influence caused by the declining balance rate,actively promote expenditure compensation mechanism reforms,increase funding,enhance supervision,and separate revenues from expenditures.

OBJECTIVE:Aspirin sustained release capsules(A-SRC) were prepared The release rate and bioavailability of A-SRC were studies METHODS:To study release mechanism by determining dissolution rate and to study relative bioavailability of A-SRC by determining serum concentrations in rabbits RESULTS:The release profile of A-SRC fitted zero-order kinetics This sustained release preparation had good release stability and high bioavailability in comparison with commonly-used aspirin sustained release capsules CONCLUSION:A-SRC showed obviously sustained release effect The drug concentration in blood kept steady and lasted long after oral administration,therefore the times of administration could be decreased Because the light-excipients were used in A-SRC,which had floating properties and could make drug release slowly A-SRC could decrease the irritations to gastrointestinal tract and other side effects

Genome-scale metabolomics analysis is increasingly used for pathway and function dis-covery in the post-genomics era.The great potential offered by developed mass spectrometry(MS)-based technologies has been hindered,since only a small portion of detected metabolites were iden-tifiable so far.To address the critical issue of low identification coverage in metabolomics,we adopted a deep metabolomics analysis strategy by integrating advanced algorithms and expanded reference databases.The experimental reference spectra and in silico reference spectra were adopted to facilitate the structural annotation.To further characterize the structure of metabolites,two approaches were incorporated into our strategy,i.e.,structural motif search combined with neutral loss scanning and metabolite association network.Untargeted metabolomics analysis was performed on 150 rice cultivars using ultra-performance liquid chromatography coupled with quadrupole-Orbitrap MS.Consequently,a total of 1939 out of 4491 metabolite features in the MS/MS spectral tag(MS2T)library were annotated,representing an extension of annotation coverage by an order of magnitude in rice.The differential accumulation patterns of flavonoids between indica and japon-ica cultivars were revealed,especially O-sulfated flavonoids.A series of closely-related flavonolignans were characterized,adding further evidence for the crucial role of tricin-oligolignols in lignification.Our study provides an important protocol for exploring phytochemical diversity in other plant species.