独蒜兰优质种苗快速培育研究

建立独蒜兰优质种苗快繁体系,为实现独蒜兰植物工业化育苗、保护野生植物资源和发展人工育种技术提供新的途径.本研究从不同基本培养基对独蒜兰种子萌发影响、丛生芽诱导增殖培养和无根苗生根壮苗等方面开展研究.筛选出影响独蒜兰种子萌发的最佳基本培养基为B5,培养30 d统计种子萌发率为92％;丛生芽诱导增殖的最佳培养基为B5+TDZ 2.0 mg/L+KT 0.5 mg/L+200.0 mg/L肌醇+2.0 g/L活性炭+20.0 g/L蔗糖,培养60 d丛生芽率诱导率为98.00％,平均产生丛生芽数为6.80个;最佳生根壮苗培养基为1/2MS+IBA 0.2 mg/L+6-BA 0.1 mg/L+2.0 g/L活性炭+30.0 g/L土豆泥+20.0 g/L蔗糖,培养60 d后统计生根率为100％,平均生根数为3.20条,平均鲜重为21.11 g.     

Improving the photocatalytic activity of graphitic carbon nitride by thermal treatment in a high-pressure hydrogen atmosphere

Extending visible light absorption range and suppressing the recombination of photogenerated charge carriers are always important topics in developing efficient solar-driven photocatalysts. In this study, the thermal treatment process at 400 °C in a high-pressure hydrogen atmosphere was applied to modify graphitic carbon nitride. Compared to the normal atmospheric hydrogen treatment process, this process has the merit of producing nitrogen deficient graphitic carbon nitride in high-yield. The optimal photocatalytic activity of modified graphitic carbon nitride was demonstrated by controlling the treatment duration in the hydrogen atmosphere.The changes in the crystal structure, microstructure and optical properties of carbon nitrides were investigated by several characterizations. The relationship between the photocatalytic activity and structures of graphitic carbon nitride was preliminarily established. The results obtained in this study could provide some new ways of improving the activity of graphitic carbon nitride based photocatalyst.     

A New Method of Portfolio Optimization Under Cumulative Prospect Theory

In this paper,the portfolio selection problem under Cumulative Prospect Theory(CPT) is investigated and a model of portfolio optimization is presented.This model is solved by coupling scenario generation techniques with a genetic algorithm.Moreover,an Adaptive Real-Coded Genetic Algorithm(ARCGA) is developed to find the optimal solution for the proposed model.Computational results show that the proposed method solves the portfolio selection model and that ARCGA is an effective and stable algorithm.We compare the portfolio choices of CPT investors based on various bootstrap techniques for scenario generation and empirically examine the effect of reference points on investment behavior.     

PI-强LU富足半群

通过对C-L^U-富足半群的刻画,给出了PI-强L^U富足半群的结构定理。     

A Novel Routing Method for Social Delay-Tolerant Networks

The lack of continuous connectivity and a complete path from source to destination makes node communication quite difficult in Delay-Tolerant Networks(DTNs). Most studies focus on routing problems in idealized network environments without considering social properties. Communication devices are carried by individuals in many DTNs; therefore, DTNs are unique social networks to some extent. To design efficient routing protocols for DTNs, it is important to analyze their social properties. In this paper, a more accurate and comprehensive metric for detecting the quality of the relationships between nodes is proposed, by considering the contact time, contact frequency, and contact regularity. An overlapping hierarchical community detection method is designed based on this new metric, and a tree structure is built. Furthermore, we exploit the overlapping community structure and the tree structure to provide message-forwarding paths from the source node to the destination node.The simulation results show that our Routing method based on Overlapping hierarchical Community Detection(ROCD) achieves better delivery rate than SimBet and Bubble Rap, the classic routing protocols, without affecting the average delay.     

一类Schrödinger-Poisson系统非平凡解的存在性

利用变分方法和临界点理论,研究了一类Schrödinger-Poisson系统,其中泊松项为更一般的形式,通过给非线性项加拟临界增长和AR条件,得到了该系统非平凡解的存在性。补充和推广了以往研究Schrödinger-Poisson系统的相关结果。     

统一碳税和差异化碳税下的再制造绩效评价

分别在无碳税、统一碳税和差异化碳税三种政策下,构建了垄断制造商的利润最大化决策模型,研究实施不同碳税政策对制造商的再制造生产决策、碳排放和社会福利的影响.研究表明:相比于无碳税政策,政府征收碳税减少了制造商的利润和碳排放,在一定条件下有利于提高社会福利;实施碳税政策有利于鼓励更多类型的制造商参与再制造,并且差异化碳税比统一碳税具有更大的灵活性.进一步地,结合理论比较和数值试验,研究了政府在统一碳税的基础上分别做单向和双向差异化碳税调整后的绩效变化情况,结论表明:统一碳税与差异化碳税不存在绝对占优的碳税形式.政府应根据再制造品特点、单位环境污染损失、统一碳税基准水平和调整幅度等特点,采取合理的碳税调整方式以优化社会福利.     

2021年经济景气形势监测、分析和预测

我国经济增长在遭遇前所未有的疫情冲击后进入为期一年的超常快速扩张期，并于2021年2月形成扩张高峰，此后转入经济周期收缩阶段。2020年11月至2021年7月经济运行已恢复至“正常”景气区间，但需求端的恢复弱于供给端。2021年3季度的综合警情指数明显下滑，发出“偏冷”预警信号，且4季度可能继续下行,但物价总体保持稳定。预计全年GDP增长8.1%左右（两年平均增长5.2%左右），全年CPI上涨0.9%左右。建议宏观调控应做好跨周期设计，注意处理好稳增长、防风险和节能环保的关系，提高疫情应对的精准性，适度加大稳增长力度，努力保持经济在合理区间的平稳运行。     

基于观点动力学的水库移民文化适应机制研究

从观点动力学的全新视角出发,首先厘清非自愿移民文化适应概念框架,然后据此构建出“社会心理建模+复杂网络分析+多Agent仿真”的文化演化计算模型,最后通过模拟实验量化分析了水库移民文化适应的影响因素和发生机制。结果表明:移民身份认同中的文化容忍度和易感性能加速文化适应进程;扩大移民在安置区的社交范围和精英移民的引导,能辅助其与原住民间的文化交互;政策满意度比文化环境的营造更为重要,能通过调节文化冲击方式来改变移民文化观念的更替速率,进而影响移民文化适应过程的平稳性与极化趋势。     

基于密度自适应深度网络的点云场景语义分割算法

由于传感器噪声干扰，点云密度不均匀，场景复杂多样以及物体之间存在遮挡现象等问题，使得三维点云场景语义分割问题的研究工作极具挑战性。针对三维点云数据采样密度不均匀以及图卷积网络深度有限的问题，提出一种密度自适应的方法。该方法通过多层感知器学习一个权重函数，利用核密度估计学习一个密度函数，对非均匀采样的点云数据进行卷积操作。同时，受深度学习在图像领域的启发，引入残差连接、空洞卷积等结构，训练更深层的点云分割网络。该算法在多个点云分割的标准数据集上取得了优秀的性能。