Mechanism Construction of Human Resource Management based on Blockchain Technology

The traditional human resource management system is faced with such problems as the quality of staff recruitment can not be guaranteed, the training performance is not consistent with the actual performance, the enterprise performance appraisal is unfair, and the salary distribution is unfair, which seriously affects the enthusiasm and loyalty of employees and threatens the survival and development of enterprises. In view of the current situation and problems of human resource management system, combined with the technical characteristics of blockchain, this paper proposes a human resource management mechanism based on blockchain technology, in order to achieve the company's human resource management system accurate, efficient, open and transparent. It is found that there is a good coupling between blockchain technology and human resource management system. This paper constructs a human resource management mechanism based on blockchain, innovates the application scenarios of blockchain technology, and provides certain guiding significance for the establishment of human resource management system and process improvement in the future.     

复杂断块油田内部低次级断层封闭性定量研究

断块油田内部低次级断层,由于规模小、区域地质特征、成藏条件存在差异性,应用Yielding的断层封闭性评价方法预测圈闭的油藏高度以及油水分布与实钻吻合度不高.为了提高预测精度,提出利用油田内部钻井、流体压力等资料,通过建立断块的深度压力模型,对断层泥岩比率ISGR与过断层压力差(Ap)进行拟合确定符合区域成藏特征的定量...     

葛根黄酮对糖基化终产物致细胞损伤的修复

研究了糖基化终产物（AGEs）对血管内皮细胞（VEC）的作用,以及葛根黄酮对AGEs致VEC损伤的修复.以体外培养的新生小牛胸主动脉VEC为材料,检测了AGEs (4 g/L)作用于VEC 24 h后,细胞内一氧化氮（NO^-₂/ NO^-₃）、丙二醛(MDA)、谷胱甘肽（GSH）和脂褐素（LPF）含量的变化;细胞乳酸脱氢酶（LDH）的泄漏量;AGEs对细胞生长增殖的影响,及细胞形态和超微结构的变化.结果显示AGEs (4g/L)可使细胞增殖率、LDH、MDA及LPF含量显著升高（P<0.01）,NO^-₂/ NO^-₃和GSH含量显著降低(P<0.01).细胞形态收缩变形,胞内出现脂滴和空泡.同时加入葛根黄酮,可使以上指标及细胞形态均接近或恢复到正常水平.因此,葛根黄酮可作为防治糖尿病血管并发症的外源性氧自由基清除剂.     

预应力混凝土梁桥温度效应分析

温度效应是引起混凝土桥梁裂缝产生的重要因素之一.为研究不同工况下混凝土梁桥的温度效应,通过有限元软件ADINA对梁体在浇筑水化热、日照温差两种工况下的温度场进行模拟,结合某预应力混凝土梁桥实桥跟踪试验温度实测值进行对比分析,并计算出温度应力对结构的影响.结果表明:有限元计算结果与现场实测结果较为一致.混凝土T梁浇筑时,...     

基于分形关联维的汽轮机转子的振动故障诊断

采用Bently实验台模拟不同转速下碰摩、松动、不对中、不平衡几种常见汽轮机转子振动故障,进行实验研究．通过相空间重构理论,对满足随机分形统计自相似性的振动信号序列进行相空间重构,计算其分形关联维数,从而再现动力学特性．实验分析结果表明：碰摩故障时的分形关联维数最大,松动和不对中时的分形关联维数次之,不平衡时计算所得的分形关联维数最小;不同故障类型下的分形关联维数增量不同．因此,分形关联维数可以作为一种振动故障征兆加以提取．     

煤气储罐泄漏扩散模型及仿真

基于Fick扩散方程,建立了煤气储罐瞬间完全泄漏的无风情况下的动态扩散模型.根据气体储罐形状为圆柱,确定了介质瞬间完全泄漏后模型的初始条件和边界条件,然后通过坐标变换和傅立叶变换和适用于圆柱(Bessel)函数的Hankel变换,求出了此条件下扩散方程的解析解.根据风力对扩散过程的影响,在无风扩散方程的基础上建立了有风条件下的扩散模型并求取了解析解,然后以一50000m3(r=19m,h=40m)煤气储罐完全破裂后的气体扩散过程为例进行了模拟,模拟结果验证了模型的有效性.     

基于已实现半协方差的投资组合优化

在传统的风险度量方法中,常见的协方差估计量并未区分资产收益的下侧风险和上侧收益,而一般的下偏矩估计量则存在非对称性和难以加总的缺点.本文引入已实现半协方差矩阵(RSCOV)作为风险度量进行波动率预测和投资组合研究.本文将RSCOV应用于两种常见的风险分散投资策略—风险平价(ERC)策略和全局方差最小(GMV)策略,并将机器学习中的在线加权集成(OWE)算法用于提升已实现波动率预测方法HAR-RV的样本外预测表现.通过研究发现,相比起已有的其他风险衡量方式,仅包含负向波动信息的下半RSCOV能够更好地被用于平衡组内各资产的风险贡献.基于A股市场2011-2018年的高频数据,本文通过实证研究发现,OWE-HARRV在月度预测步长下的效果优于HAR-RV,而下半RSCOV则能够使ERC策略以及GMV策略在保证一定平均收益的同时,降低了组合收益的极端损失.     

高速公路经营权期权估价方法探讨

基于高速公路经营权与实物期权相类似的特征,应用期权定价理论中的Black-Scholes模型对经营权价值进行评估,并与收益现值法综合使用,目的在于提高评估结果的科学性和合理性。     

A mixed-model approach for genome-wide association studies of correlated traits in structured populations

Genome-wide association studies (GWAS) are a standard approach for studying the genetics of natural variation. A major concern in GWAS is the need to account for the complicated dependence structure of the data, both between loci as well as between individuals. Mixed models have emerged as a general and flexible approach for correcting for population structure in GWAS. Here, we extend this linear mixed-model approach to carry out GWAS of correlated phenotypes, deriving a fully parameterized multi-trait mixed model (MTMM) that considers both the within-trait and between-trait variance components simultaneously for multiple traits. We apply this to data from a human cohort for correlated blood lipid traits from the Northern Finland Birth Cohort 1966 and show greatly increased power to detect pleiotropic loci that affect more than one blood lipid trait. We also apply this approach to an Arabidopsis thaliana data set for flowering measurements in two different locations, identifying loci whose effect depends on the environment.