|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | X16老年人平衡能力测试量表的信度和效度评估(摘译)显示文摘近几十年来,老龄化已成为当今社会的重要公共卫生问题之一。全世界几乎所有国家中60岁及以上的人口数都在逐步、迅速地增长。2012年,全球老年人口占总人口的11%以上。据联合国人口基金会估计,到2050年这一比例将达到约22%。2012年,我国有1.8亿老年人,截至2015年,65岁及以上老人占全国总人口的10.5%,预计到2050年该比例还会增长近三分之一。上海是我国人口最多也是平均期望寿命最高的城市,2014年老年人口比例达到28.8%。随着年龄的增长,老年人的生理、认知和行动能力均有不同程度下降,因此,有必要对老龄化进程中的特点进行研究。 | 姜玉(摘译) 夏庆华(审校) Jingjuan Ju Peng Zhou Lin Li Xiaolei Ye Hongmei Wu Bin Shen Jialei Zhang Xiaoding He Chunjin Niu | 2021 | 伤害医学(电子版)2021,10,1: | 1 |
| 2 | Random mating mayfly algorithm for RFID network planning显示文摘In order to improve robustness and efficiency of the radio frequency identification(RFID)network,a random mating mayfly algorithm(RMMA)was proposed.Firstly,RMMA introduced the mechanism of random mating into the mayfly algorithm(MA),which improved the population diversity and enhanced the exploration ability of the algorithm in the early stage,and find a better solution to the RFID nework planning(RNP)problem.Secondly,in RNP,tags are usually placed near the boundaries of the working space,so the minimum boundary mutation strategy was proposed to make sure the mayflies which beyond the boundary can keep the original search direction,as to enhance the ability of searching near the boundary.Lastly,in order to measure the performance of RMMA,the algorithm is then benchmarked on three well-known classic test functions,and the results are verified by a comparative study with particle swarm optimization(PSO),grey wolf optimization(GWO),and MA.The results show that the RMMA algorithm is able to provide very competitive results compared to these well-known meta-heuristics,RMMA is also applied to solve RNP problems.The performance evaluation shows that RMMA achieves higher coverage than the other three algorithms.When the number of readers is the same,RMMA can obtain lower interference and get a better load balance in each instance compared with other algorithms.RMMA can also solve RNP problem stably and efficiently when the number and position of tags change over time. | Xie Xiaode Zheng Jiali Lin Zihan He Siyi Feng Minyu | 2022 | The Journal of China Universities of Posts and Telecommunications2022,29,5: | 1 |
| 3 | Genomic insights on the contribution of introgressions from Xian/Indica to the genetic improvement of Geng/Japonica rice cultivars显示文摘Hybridization between Xian/indica(XI)and Geng/japonica(GJ)rice combined with utilization of plant ideotypes has greatly contributed to yield improvements in modern GJ rice in China over the past 50 years.To explore the genomic basis of improved yield and disease resistance in GJ rice,we conducted a large-scale genomic landscape analysis of 816 elite GJ cultivars representing multiple eras of germplasm from China.We detected consistently increasing introgressions from three XI subpopulations into GJ cultivars since the 1980s and found that the XI genome introgressions significantly increased the grain number per panicle(GN)and decreased the panicle number per plant.This contributed to the improvement of plant type during modern breeding,changing multi-tiller plants tomoderate tiller plants with a large panicle size and increasing the blast resistance.Notably,we found that key gene haplotypes controlling plant architecture,yield components,and pest and disease resistance,including IPA1,SMG1,DEP3,Pib,Pi-d2,and Bph3,were introduced from XI rice by introgression.By GWAS analysis,we detected a GN-related gene Gnd5,which had been consistently introgressed from XI into GJ cultivars since the 1980s.Gnd5 is a GRAS transcription factor gene,and Gnd5 knockout mutants showed a significant reduction in GN.The estimated genetic effects of genes varied among different breeding locations,which explained the distinct introgression levels of XI gene haplotypes,including Gnd5,DEP3,etc.,to these GJ breeding pedigrees.These findings reveal the genomic contributions of introgressions from XI to the trait improvements of GJ rice cultivars and provide new insights for future rice genomic breeding. | Di Cui Han Zhou Xiaoding Ma Zechuan Lin Linhua Sun Bing Han Maomao Li Jianchang Sun Jin Liu Guixiu Jin Xianju Wang Guilan Cao Xing Wang Deng Hang He Longzhi Han | 2022 | Plant Communications2022,3,3: | 0 |
| 4 | RFID network planning based on improved brain storm optimization algorithm显示文摘In order to improve the service quality of radio frequency identification(RFID) systems, multiple objectives should be comprehensively considered. An improved brain storm optimization algorithm GABSO, which incorporated adaptive learning operator and golden sine operator into the original brain storm optimization(BSO) algorithm, was proposed to solve the problem of RFID network planning(RNP). GABSO algorithm introduces learning operator and golden sine operator to achieve a balance between exploration and development. Based on GABSO algorithm, an optimization model is established to optimize the position of the reader. The GABSO algorithm was tested on the RFID model and dataset, and was compared with other methods. The GABSO algorithm’s tag coverage was increased by 9.62% over the Cuckoo search(CS) algorithm, and 7.70% over BSO. The results show that the GABSO algorithm could be successfully applied to solve the problem of RNP. | Lin Zihan Zheng Jiali Xie Xiaode Feng Minyu He Siyi | 2022 | The Journal of China Universities of Posts and Telecommunications2022,29,5: | 0 |