Optimized decomposition and two-step nonlinear integration model with error correction strategy coupled interval prediction for digital currency price forecast

Digital currency price prediction is vital to both sellers and purchasers. Over these years, decomposition and integration models have been applied more and more to realize the goal of precise prediction, however, many of them tend to neglect the reconstruction of features or the residual series. Altogether, one of the biggest drawbacks of the decomposition and integration framework is the method applied requires manual parameter setting whether it is for decomposition or integration. Still, for the results, they are merely satisfied with the point prediction which brings high uncertainty. In this paper, an optimized feature reconstruction decomposition and two-step nonlinear integration method is proposed which gives consideration to feature reconstruction, nonlinear integration, optimization and interval prediction. The original data series is decomposed through improved variational mode decomposition based approximate entropy feature reconstruction system. Then, improved particle swarm optimization-gated recurrent unit (iPSO-GRU) is utilized in the first and second nonlinear integration part separately. Meanwhile, the residual series is given attention, if it is not a white noise series, the residual will be the input of iPSO-GRU whose result will be added back to the second integration result to form the point prediction result. Based on the point prediction result, interval prediction estimate will be generated as well via maximum likelihood function. This study chooses three kinds of digital currency as cases and the results show that the MAPE values of point prediction are all below 3.5%, and CP values of interval prediction are all 1 with suitable MWP. In addition, compared with other benchmark models, the proposed model shows better performance.

     

Gelling behavior of MgAl2O4 slurries with a common dispersant

MgAl₂O₄ transparent ceramics were shaped by a commonly used polyacrylic acid (PAA), which acted as both dispersant and gelling agent. The spinel slurries were prepared by ball-milling MgAl₂O₄ powder, PAA, and water in an attrition mill. The gelling of slurries happened at room temperature in air atmosphere without any other organic additive. The gelling mechanism was the formation of chelates between Mg²⁺ and carboxyl groups (-COO⁻) of PAA. The frequency-based testing method was applied to investigate the gelling process of the as-prepared slurry. In addition, a novel in situ characterization method based on a modified indentation testing was invented to better understand the strengthening of the wet green body with time and to guide when demolding could be carried out. After sintering, transparent MgAl₂O₄ ceramics with high in-line transmittance were resulted.     

分析化学实验课程中融入思政教育的探索与实践

高校专业课程思政建设要求落实立德树人和铸魂育人的根本任务,将实践教育和科学精神的培养相结合,培养专业扎实,具有责任感和使命意识的人才,构建全课程全方位的育人教育。分析化学实验课是化学必修的实践课程,从课前准备、实验操作以及课后探讨分析中,将课程思政教育渐进式融入,帮助学生构建将小我融入大我的科学精神和使命意识,真正将教书和育人有机统一,培育科学创新和理想信念坚定的专业人才。     

Diffusion and perfusion MRI parameters in the evaluation of placenta accreta spectrum disorders in patients with placenta previa

Magnetic Resonance Materials in Physics, Biology and Medicine - To evaluate the placental function by monoexponential, biexponential, and diffusion kurtosis MR imaging (MRI) in patients with...     

放电参数变化对电感耦合等离子闭式等离子体空间分布特性研究

射频电感耦合等离子体（ICP）在实际放电过程中，线圈的构型、电源参数、气压等外部工质条件的变化均会对结果产生较大影响，依靠实验很难得到多外部条件对ICP参数分布的影响机理和规律，因此需要结合仿真和实验的方法进行分析。该文通过建立感性线圈的电磁学有限元模型，分析不同线圈构型下射频电磁场在等离子体内部的空间分布，研究放电参数（线圈构型、功率大小）对等离子体分布影响和E-H模型下放电形态的跳变过程，并观察进入稳定H模式后电源参数的变化规律，为等离子体源的小型化工程应用提供理论基础。实验和仿真计算结果表明：不同线圈匝数在不同功率条件下，电磁场强度变化对等离子功率吸收和功率耦合有较大影响；当工作气压在0～20Pa时，ICP的电子密度呈轴对称分布，随着放电功率、气压的增大，等离子体吸收的功率和电离度也随之增加，其电子密度相应地增大，放电功率的增加会使得环状的等离子体区域随之扩大，在轴向、径向上的分布呈先逐渐增大而后在靠近腔室壁面区域迅速下降。     

双功能催化剂上四氢萘加氢裂化生成单环芳烃的反应网络研究

Conversion of LCO (light cycle oil) to BTX (benzene, toluene, and xylene) is an economically valuable method for refineries. However, this approach still faces difficulties as the main reactions are not clearly understood. Here we study the detailed hydrocracking pathway of typical reactants, 1-methylnaphthalene and tetralin, through molecular simulations and experiments to improve our understanding of the conversion process of LCO to BTX. Molecular simulations demonstrate that the rate-determining step is the isomerization pathway of six-membered ring to five-membered ring in tetralin as its activation energy (ΔEa) is the highest among all the reactions and the order of ΔEa of reactions is isomerization > ring-opening ≈ side-chain cleavage. The results of experiments show that with the increase in reaction depth, i.e., through a high temperature (350 – 370 °C) and low LHSV (4.5 – 6.0 h−1), isomerization, ring-opening, and side-chain  cleavage reactions occurred, thus improving the selectivity and yield of alkyl aromatics.