A specialty database has been established at The Hong Kong University of Science and Technology to handle the chemical and biological data of medicinal plants and other natural products from scientific literatures. De...A specialty database has been established at The Hong Kong University of Science and Technology to handle the chemical and biological data of medicinal plants and other natural products from scientific literatures. Designed as a relational system capable of analyzing, comparing, and correlating data, the system can retrieve information in assimilated tabular formats. The database can provide information supports to researchers in the fields of medicinal chemistry, biochemistry, pharmacology, botany and other disciplines of natural products research.展开更多
We report on a pilot study on identifying metal-poor stars pre-enriched by Pair-Instability Supernovae（PISNe）.Very massive,first generation（Population Ⅲ） stars（140 M⊙≤M≤260 M⊙）end their lives as PISNe,which...We report on a pilot study on identifying metal-poor stars pre-enriched by Pair-Instability Supernovae（PISNe）.Very massive,first generation（Population Ⅲ） stars（140 M⊙≤M≤260 M⊙）end their lives as PISNe,which have been predicted by theories,but no relics of PISNe have been observed yet.Among the distinct characteristics of the yields of PISNe,as predicted by theoretical calculations,are a strong odd-even effect,and a strong overabundance of Ca with respect to iron and the solar ratio.We use the latter characteristic to identify metal-poor stars in the Galactic halo that have been pre-enriched by PISNe,by comparing metallicites derived from strong, co-added Fe lines detected in low-resolution（i.e.,R=λ/△λ～2000）spectra of the Sloan Digital Sky Survey（SDSS）,with metallicities determined by the SDSS Stellar Parameters Pipeline（SSPP）.The latter are based on the strength of the CaⅡ K line and assumptions on the Ca/Fe abundance ratio.Stars are selected as candidates if their metallicity derived from Fe lines is significantly lower than the SSPP metallicities.In a sample of 12 300 stars for which SDSS spectroscopy is available,we have identified 18 candidate stars.Higher resolution and signal-to-noise ratio spectra of these candidates are being obtained with the Very Large Telescope of the European Southern Observatory and the XSHOOTER spectrograph,to determine their abundance patterns,and to verify our selection method.We plan to apply our method to the database of several million stellar spectra to be acquired with the Guo Shou Jing Telescope （LAMOST）in the next five years.展开更多
The Chemistry Implementation Network(ChIN)is focused on supporting the FAIR Data needs of the research community regarding chemical related data.An Implementation Network is a consortium drawn from a community,in this...The Chemistry Implementation Network(ChIN)is focused on supporting the FAIR Data needs of the research community regarding chemical related data.An Implementation Network is a consortium drawn from a community,in this case the chemistry discipline,committed to defining and constructing standards,materials and software in the spirit of the FAIR data principles and under the structure of the GO FAIR project.Furthermore,as a core science the ChIN has to reach beyond the chemistry community and support the use of chemical information in other disciplines.This will be facilitated through connections in the GO FAIR ecosystem of Implementation Networks.Examples of the FAIR chemical concepts that need to be supported include molecular and materials structures,chemical reactions,nomenclature and other chemical terminology and conventions.The ChIN aims to drive forward the application of the FAIR Data Principles relating to the full range of chemistry concepts that are key to the transparent and efficient communication of chemical information.Realizing the goal of FAIR chemistry data will require a culture change across the discipline.However this is best addressed once a critical mass of tools and approaches has been developed.展开更多
文摘A specialty database has been established at The Hong Kong University of Science and Technology to handle the chemical and biological data of medicinal plants and other natural products from scientific literatures. Designed as a relational system capable of analyzing, comparing, and correlating data, the system can retrieve information in assimilated tabular formats. The database can provide information supports to researchers in the fields of medicinal chemistry, biochemistry, pharmacology, botany and other disciplines of natural products research.
基金J.R.and N.C.acknowledge financial support by the Global Networks program of Universitt Heidelbergby Deutsche Forschungsgemeinschaft through grant CH 214/5-1+3 种基金Sonderforschungsbereich SFB 881"The Milky Way System"(subproject A4)J.Ren and G.Zhao acknowledge the support by the National Natural Science Foundation of China(Grant Nos.11233004 and 11243004)J.Ren acknowledges partial financial support from the Shandong University Fund for Graduate Study AbroadFunding for the SDSS and SDSS-II has been provided by the Alfred P.Sloan Foundation,the Participating Institutions,the National Science Foundation,the U.S.Department of Energy,the National Aeronautics and Space Administration,the Japanese Monbukagakusho,the Max Planck Society,and the Higher Education Funding Council for England
文摘We report on a pilot study on identifying metal-poor stars pre-enriched by Pair-Instability Supernovae（PISNe）.Very massive,first generation（Population Ⅲ） stars（140 M⊙≤M≤260 M⊙）end their lives as PISNe,which have been predicted by theories,but no relics of PISNe have been observed yet.Among the distinct characteristics of the yields of PISNe,as predicted by theoretical calculations,are a strong odd-even effect,and a strong overabundance of Ca with respect to iron and the solar ratio.We use the latter characteristic to identify metal-poor stars in the Galactic halo that have been pre-enriched by PISNe,by comparing metallicites derived from strong, co-added Fe lines detected in low-resolution（i.e.,R=λ/△λ～2000）spectra of the Sloan Digital Sky Survey（SDSS）,with metallicities determined by the SDSS Stellar Parameters Pipeline（SSPP）.The latter are based on the strength of the CaⅡ K line and assumptions on the Ca/Fe abundance ratio.Stars are selected as candidates if their metallicity derived from Fe lines is significantly lower than the SSPP metallicities.In a sample of 12 300 stars for which SDSS spectroscopy is available,we have identified 18 candidate stars.Higher resolution and signal-to-noise ratio spectra of these candidates are being obtained with the Very Large Telescope of the European Southern Observatory and the XSHOOTER spectrograph,to determine their abundance patterns,and to verify our selection method.We plan to apply our method to the database of several million stellar spectra to be acquired with the Guo Shou Jing Telescope （LAMOST）in the next five years.
文摘The Chemistry Implementation Network(ChIN)is focused on supporting the FAIR Data needs of the research community regarding chemical related data.An Implementation Network is a consortium drawn from a community,in this case the chemistry discipline,committed to defining and constructing standards,materials and software in the spirit of the FAIR data principles and under the structure of the GO FAIR project.Furthermore,as a core science the ChIN has to reach beyond the chemistry community and support the use of chemical information in other disciplines.This will be facilitated through connections in the GO FAIR ecosystem of Implementation Networks.Examples of the FAIR chemical concepts that need to be supported include molecular and materials structures,chemical reactions,nomenclature and other chemical terminology and conventions.The ChIN aims to drive forward the application of the FAIR Data Principles relating to the full range of chemistry concepts that are key to the transparent and efficient communication of chemical information.Realizing the goal of FAIR chemistry data will require a culture change across the discipline.However this is best addressed once a critical mass of tools and approaches has been developed.
