Deepening function reform of running the society of state-owned farm is an important strategic plan made by the Party Central Committee and the State Council,and is also ' hard bone' bitten by fully implementi...Deepening function reform of running the society of state-owned farm is an important strategic plan made by the Party Central Committee and the State Council,and is also ' hard bone' bitten by fully implementing the strategy of rural revitalization and promoting the modernization of agriculture and countryside. In this paper,the problems of Taihu Port Farm in Jingzhou City after function reform of running the society are systematically and comprehensively analyzed via field research,and corresponding countermeasures are proposed. The research could provide beneficial reference and experience reference for deepening function reform of running the society of current state-owned farm.展开更多
为了研究大型肉牛比利时蓝牛生长发育的遗传规律,筛选优异基因,试验基于Illumina Bovine SNP 50K芯片数据,采用PLINK软件对270头比利时蓝牛常染色体数据进行基因组长纯合片段(ROH)检测并基于选择信号分析,通过核苷酸多态性检测取前5%的...为了研究大型肉牛比利时蓝牛生长发育的遗传规律,筛选优异基因,试验基于Illumina Bovine SNP 50K芯片数据,采用PLINK软件对270头比利时蓝牛常染色体数据进行基因组长纯合片段(ROH)检测并基于选择信号分析,通过核苷酸多态性检测取前5%的单核苷酸多态性(single nucleotide polymorphism,SNP)位点,基于牛参考基因组(ARS-UCD1.2)对结果SNPs进行基因注释,对候选基因进行GO功能注释与KEGG信号通路富集分析,并计算染色体上ROH长度占基因组总长度的比例(FROH)。结果表明:在全部270个个体数据中共检测出1893个ROH片段,平均长度13.2311 Mb,平均FROH为0.0392;得到与生长发育相性状相关的基因有NEB、TET2、NEK11、NCKAP1、MYH15、EIF4A2、bta-miR-1248-1、DCAF8、PRORP、DOCK3、SYT15、MYEF2、ZDHHC13,与公牛生育能力相关的基因有CFAP61、DNAL1、BAG1。说明通过对比利时蓝牛生长发育性状相关分子标记的解析可以为比利时蓝牛遗传改良提供理论指导。展开更多
Run count statistics serve a central role in tests of non-randomness of stochastic processes of interest to a wide range of disciplines within the physical sciences, social sciences, business and finance, and other en...Run count statistics serve a central role in tests of non-randomness of stochastic processes of interest to a wide range of disciplines within the physical sciences, social sciences, business and finance, and other endeavors involving intrinsic uncertainty. To carry out such tests, it is often necessary to calculate two kinds of run count probabilities: 1) the probability that a certain number of trials results in a specified multiple occurrence of an event, or 2) the probability that a specified number of occurrences of an event take place within a fixed number of trials. The use of appropriate generating functions provides a systematic procedure for obtaining the distribution functions of these probabilities. This paper examines relationships among the generating functions applicable to recurrent runs and discusses methods, employing symbolic mathematical software, for implementing numerical extraction of probabilities. In addition, the asymptotic form of the cumulative distribution function is derived, which allows accurate runs statistics to be obtained for sequences of trials so large that computation times for extraction of this information from the generating functions could be impractically long.展开更多
基金Supported by Major Projects of the National Social Science Fund of China(15ZDA020)Open Fund Project of Yangtze River Economic Belt Development Research Institute(CJKF-2017-06)
文摘Deepening function reform of running the society of state-owned farm is an important strategic plan made by the Party Central Committee and the State Council,and is also ' hard bone' bitten by fully implementing the strategy of rural revitalization and promoting the modernization of agriculture and countryside. In this paper,the problems of Taihu Port Farm in Jingzhou City after function reform of running the society are systematically and comprehensively analyzed via field research,and corresponding countermeasures are proposed. The research could provide beneficial reference and experience reference for deepening function reform of running the society of current state-owned farm.
文摘Run count statistics serve a central role in tests of non-randomness of stochastic processes of interest to a wide range of disciplines within the physical sciences, social sciences, business and finance, and other endeavors involving intrinsic uncertainty. To carry out such tests, it is often necessary to calculate two kinds of run count probabilities: 1) the probability that a certain number of trials results in a specified multiple occurrence of an event, or 2) the probability that a specified number of occurrences of an event take place within a fixed number of trials. The use of appropriate generating functions provides a systematic procedure for obtaining the distribution functions of these probabilities. This paper examines relationships among the generating functions applicable to recurrent runs and discusses methods, employing symbolic mathematical software, for implementing numerical extraction of probabilities. In addition, the asymptotic form of the cumulative distribution function is derived, which allows accurate runs statistics to be obtained for sequences of trials so large that computation times for extraction of this information from the generating functions could be impractically long.
