Announcement of new partnership with the Nature Publishing Group

In a new collaboration with the Nature Publishing Group （NPG）, Shanghai Institutes for Biological Sciences （SIBS）, and Institute of Biochemistry and Cell Biology （IBCB）, Chinese Academy of Sciences （CAS）, are pleased to announce a new publishing partnership. SIBS will partner with NPG from 2006 to publish Cell Research worldwide.     

A new partnership for an impactful future

正Starting from this issue(January,2016),SCIENCE CHINA Life Sciences(SCLS)and The Chinese Biological Investigators Society(CBIS)will embark on a partnership with the goal of making SCLS a highly impactful journal in advancing research in life sciences.     

A partnership project for a new Red List of the Italian Flora

Abstract

The IUCN Red Lists assessment provides an internationally accepted system to verify the extinction risk of species. Working Groups of the Italian Botanical Society have recently discussed the importance of producing a reliable list of species at the national level. This list could be the starting point for future in situ and ex situ plant conservation activities.     

A new design of stochastic partnership models for epidemics of sexually transmitted diseases with stages

A problem of importance in modelling epidemics of sexually transmitted diseases is the development of mathematical structures accommodating sexual and other contacts among members of a population. Because these models may be complex, it is often necessary to use computer intensive methods in their analysis, which raises questions on the design of computer models. In this paper a new approach to designing models sexual contacts is presented within the context of a stochastic model accommodating the formation and dissolution of partnerships in heterosexual populations. Emphasis will be placed on the development of algorithms with a view towards developing software to implement computer intensive methods. Unlike previous formulations, rather than using rejection methods in Monte Carlo simulations to impose necessary constraints on random functions describing partnership formation, in the new formulation all constraints are satisfied with probability one.