油菜是我国重要的油料作物,常年种植面积约1亿亩,每年可生产约450万t菜籽油,占国内植物油总消费量的19.7%。与发达国家相比,我国油菜产业主要问题是产量低、品质差,年进口油菜籽约500万t。油菜基因组测序的完成,极大地推动了油菜育种行...油菜是我国重要的油料作物,常年种植面积约1亿亩,每年可生产约450万t菜籽油,占国内植物油总消费量的19.7%。与发达国家相比,我国油菜产业主要问题是产量低、品质差,年进口油菜籽约500万t。油菜基因组测序的完成,极大地推动了油菜育种行业的科研工作。据统计(Web of Science检索),2017年与油菜育种相关的SCI论文共有728篇,其中完全由中国学者完成的181篇,与其他国家合作完成的62篇,合计约占全世界的33.38%,但高水平论文数量还有待提高。2017年的研究进展主要集中在油菜籽含油量及品质、油菜籽产量、基因组驯化、雄性不育、非生物胁迫及抗病育种等方面。这些成果将积极地推动油菜育种产业的高产、优质及多元化发展,为我国油菜分子设计育种的实现提供了重要的理论基础。展开更多
Background： Patients on hemodialysis have a high-mortality risk. Tiffs study analyzed factors associated with death in patients on maintenance hemodialysis （MHD）. While some studies used baseline data of MHD patien...Background： Patients on hemodialysis have a high-mortality risk. Tiffs study analyzed factors associated with death in patients on maintenance hemodialysis （MHD）. While some studies used baseline data of MHD patients, this study used the most recent data obtained from patients just prior to either a primary endpoint or the end of the study period to iliad the characteristics of patients preceding death.Methods： Participants were selected from 16 blood purification centers in China from January 2012 to December 2014, Patients＇ data were collected retrospectively. Based on survival status, the participants were divided into two groups： survival group and the death group. Logistic regression analysis was performed to determine/＇actors associated with all-cause mortality.展开更多
The Large sky Area Multi-Object Fiber Spectroscopic Telescope（LAMOST） general survey is a spectroscopic survey that will eventually cover approximately half of the celestial sphere and collect 10 million spectra of ...The Large sky Area Multi-Object Fiber Spectroscopic Telescope（LAMOST） general survey is a spectroscopic survey that will eventually cover approximately half of the celestial sphere and collect 10 million spectra of stars, galaxies and QSOs. Objects in both the pilot survey and the first year regular survey are included in the LAMOST DR1. The pilot survey started in October 2011 and ended in June 2012, and the data have been released to the public as the LAMOST Pilot Data Release in August 2012. The regular survey started in September 2012, and completed its first year of operation in June 2013. The LAMOST DR1 includes a total of 1202 plates containing 2 955 336 spectra, of which 1 790 879 spectra have observed signalto-noise ratio（SNR） ≥ 10. All data with SNR ≥ 2 are formally released as LAMOST DR1 under the LAMOST data policy. This data release contains a total of 2 204 696 spectra, of which 1 944 329 are stellar spectra, 12 082 are galaxy spectra and 5017 are quasars. The DR1 not only includes spectra, but also three stellar catalogs with measured parameters： late A,FGK-type stars with high quality spectra（1 061 918 entries）, A-type stars（100 073 entries）, and M-type stars（121 522 entries）. This paper introduces the survey design, the observational and instrumental limitations, data reduction and analysis, and some caveats. A description of the FITS structure of spectral files and parameter catalogs is also provided.展开更多
Aging biomarkers are a combination of biological parameters to(i)assess age-related changes,(ii)track the physiological aging process,and(iii)predict the transition into a pathological status.Although a broad spectrum...Aging biomarkers are a combination of biological parameters to(i)assess age-related changes,(ii)track the physiological aging process,and(iii)predict the transition into a pathological status.Although a broad spectrum of aging biomarkers has been developed,their potential uses and limitations remain poorly characterized.An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research:How old are we?Why do we get old?And how can we age slower?This review aims to address this need.Here,we summarize our current knowledge of biomarkers developed for cellular,organ,and organismal levels of aging,comprising six pillars:physiological characteristics,medical imaging,histological features,cellular alterations,molecular changes,and secretory factors.To fulfill all these requisites,we propose that aging biomarkers should qualify for being specific,systemic,and clinically relevant.展开更多
文摘油菜是我国重要的油料作物,常年种植面积约1亿亩,每年可生产约450万t菜籽油,占国内植物油总消费量的19.7%。与发达国家相比,我国油菜产业主要问题是产量低、品质差,年进口油菜籽约500万t。油菜基因组测序的完成,极大地推动了油菜育种行业的科研工作。据统计(Web of Science检索),2017年与油菜育种相关的SCI论文共有728篇,其中完全由中国学者完成的181篇,与其他国家合作完成的62篇,合计约占全世界的33.38%,但高水平论文数量还有待提高。2017年的研究进展主要集中在油菜籽含油量及品质、油菜籽产量、基因组驯化、雄性不育、非生物胁迫及抗病育种等方面。这些成果将积极地推动油菜育种产业的高产、优质及多元化发展,为我国油菜分子设计育种的实现提供了重要的理论基础。
文摘Background： Patients on hemodialysis have a high-mortality risk. Tiffs study analyzed factors associated with death in patients on maintenance hemodialysis （MHD）. While some studies used baseline data of MHD patients, this study used the most recent data obtained from patients just prior to either a primary endpoint or the end of the study period to iliad the characteristics of patients preceding death.Methods： Participants were selected from 16 blood purification centers in China from January 2012 to December 2014, Patients＇ data were collected retrospectively. Based on survival status, the participants were divided into two groups： survival group and the death group. Logistic regression analysis was performed to determine/＇actors associated with all-cause mortality.
基金funded by the National Basic Research Program of China (973 Program, 2014CB845700)the National Natural Science Foundation of China (Grant Nos. 11390371)Funding for the project has been provided by the National Development and Reform Commission
文摘The Large sky Area Multi-Object Fiber Spectroscopic Telescope（LAMOST） general survey is a spectroscopic survey that will eventually cover approximately half of the celestial sphere and collect 10 million spectra of stars, galaxies and QSOs. Objects in both the pilot survey and the first year regular survey are included in the LAMOST DR1. The pilot survey started in October 2011 and ended in June 2012, and the data have been released to the public as the LAMOST Pilot Data Release in August 2012. The regular survey started in September 2012, and completed its first year of operation in June 2013. The LAMOST DR1 includes a total of 1202 plates containing 2 955 336 spectra, of which 1 790 879 spectra have observed signalto-noise ratio（SNR） ≥ 10. All data with SNR ≥ 2 are formally released as LAMOST DR1 under the LAMOST data policy. This data release contains a total of 2 204 696 spectra, of which 1 944 329 are stellar spectra, 12 082 are galaxy spectra and 5017 are quasars. The DR1 not only includes spectra, but also three stellar catalogs with measured parameters： late A,FGK-type stars with high quality spectra（1 061 918 entries）, A-type stars（100 073 entries）, and M-type stars（121 522 entries）. This paper introduces the survey design, the observational and instrumental limitations, data reduction and analysis, and some caveats. A description of the FITS structure of spectral files and parameter catalogs is also provided.
基金supported by grants from the National Natural Science Foundation of China(No.31800992,31771298,81800512)the Natural Science Foundation of Jiangsu Province,China(No.BK20180554,BK20180577)。
基金supported by the National Natural Science Foundation of China(31730036,31871380,31871382,31930055,31930058,32000500,32022034,32030033,32070730,32130046,3217050247,32150005,32200595,32222024,81730019,81730022,81830014,81921006,81925005,81970426,81971301,81971312,82030041,82061160495,82070805,82071595,82090020,82100841,82120108009,82122024,82125002,82125011,82125012,82130045,82171284,82173061,82173398,82225007,82225015,82225017,82225018,82230047,82230088,82271600,91949106,91949201,92049116,92049302,92049304,92149303,92149306,92157202,92168201,92169102,92249301,92268201)the National Key Research and Development Program of China(2018YFA0800700,2018YFC2000100,2018YFC2000102,2018YFC2002003,2019YFA0110900,2019YFA0801703,2019YFA0801903,2019YFA0802202,2019YFA0904800,2020YFA0113400,2020YFA0803401,2020YFA0804000,2020YFC2002900,2020YFC2008000,2020YFE0202200,2021YFA0804900,2021YFA1100103,2021YFA1100900,2021YFE0114200,2021ZD0202400,2022YFA0806001,2022YFA0806002,2022YFA0806600,2022YFA1103200,2022YFA1103601,2022YFA1103701,2022YFA1103800,2022YFA1103801,2022YFA1104100,2022YFA1104904,2022YFA1303000,2022YFC2009900,2022YFC2502401,2022YFC3602400,2022YFE0118000,2022ZD0213200)+9 种基金the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA16030302,XDB39000000,XDB39030600)the Youth Innovation Promotion Association of Chinese Academy of Sciences(2020085,2021080)CAS Project for Young Scientists in Basic Research(YSBR-076)the Program of the Beijing Natural Science Foundation(JQ20031)Clinical Research Operating Fund of Central High level hospitals(2022-PUMCHE-001)CAMS Innovation Fund for Medical Sciences(CIFMS)(2022-I2M1-004)Talent Program of the Chinese Academy of Medical Science(2022RC310-10)Research Funds from Health@Inno HK Program launched by Innovation Technology Commission of the Hong Kong Special Administrative Region,Guangdong Basic and Applied Basic Research Foundation(2020B1515020044)Guangzhou Planned Project of Science and Technology(202002020039)the Major Technology Innovation of Hubei Province(2019ACA14
文摘Aging biomarkers are a combination of biological parameters to(i)assess age-related changes,(ii)track the physiological aging process,and(iii)predict the transition into a pathological status.Although a broad spectrum of aging biomarkers has been developed,their potential uses and limitations remain poorly characterized.An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research:How old are we?Why do we get old?And how can we age slower?This review aims to address this need.Here,we summarize our current knowledge of biomarkers developed for cellular,organ,and organismal levels of aging,comprising six pillars:physiological characteristics,medical imaging,histological features,cellular alterations,molecular changes,and secretory factors.To fulfill all these requisites,we propose that aging biomarkers should qualify for being specific,systemic,and clinically relevant.
