以可存品与非可存品为消费对象的最优投资消费决策

传统的投资消费决策问题考虑的消费对象局限于单一的非可存品或者单一的可存品 .而且假定银行的贷款利率等于存款利率 .本文假定银行的贷款利率大于存款利率 ,并且投资者的消费对象为包含可存品与非可存品的组合 .可存品的价格假设服从几何布朗运动 ,它的折旧率假定为一个常值 .应用随机控制方法 ,得到等弹性效用函数情形下的最优投资消费策略的显式表达     

PWM高速开关阀的研制与应用

介绍了新型PWM高速开关阀的结构、工作原理及其具体的应用。经过试验表明．该新型PWM高速开关阀的开关频率达到14Hz，可以满足电液控制系统需求。     

Method for state variable reconstruction

Chyung (1984) has presented a method for exactly reconstructing the inaccessible variables of a linear time-invariant control system. Roppenecker (1985) pointed out that this method is only applicable to a special case. In the present paper, the validity of Chyung's method for general linear time-invariant control systems is proved, and for the convenience of digital implementation, a scheme for the choosing of time delays h_i is proposed. Finally, a method is presented for reconstructing the inaccessible variables in a reduced-order form.     

Cross-task emotion recognition using eeg measures: first step towards practical application

Electroencephalographic (EEG)-based emotion recognition has received increasing attention in the field of human-computer interaction (HCI) recently, there however remains a number of challenges in building a generalized emotion recognition model, one of which includes the difficulty of an EEG-based emotion classifier trained on a specific task to handle other tasks. Little attention has been paid to this issue. The current study is to determine the feasibility of coping with this challenge using feature selection. 12 healthy volunteers were emotionally elicited when conducting picture induced and video induced tasks. Firstly, support vector machine (SVM) classifier was examined under within-task conditions (trained and tested on the same task) and cross-task conditions (trained on one task and tested on another task) for picture induced and video induced tasks. The within-task classification performed fairly well (classification accuracy: 51.6% for picture task and 94.4% for video task). Cross-task classification, however, deteriorated to low levels (around 44%). Trained and tested with the most robust feature subset selected by SVM-recursive feature elimination (RFE), the performance of cross-task classifier was significantly improved to above 68%. These results suggest that cross-task emotion recognition is feasible with proper methods and bring EEG-based emotion recognition models closer to being able to discriminate emotion states for any tasks.     

埋地钢质管道外防腐层失效及大修

针对埋地钢质管道外防腐层大修存在的实际问题,本文结合管道外防腐层失效原因、旧防腐层清除及防腐层大修材料的选择,提出了采用黏弹体胶带+外防护层的方式提高防腐层大修质量的建议。     

Variational Bayesian data analysis on manifold

In this paper, variational inference is studied on manifolds with certain metrics. To solve the problem, the analysis is first proposed for the variational Bayesian on Lie group, and then extended to the manifold that is approximated by Lie groups. Then the convergence of the proposed algorithm with respect to the manifold metric is proved in two iterative processes: variational Bayesian expectation (VB-E) step and variational Bayesian maximum (VB-M) step. Moreover, the effective of different metrics for Bayesian analysis is discussed.     

呋喃树脂砂生产铸铁件临界吃砂量的模拟试验研究

为确定呋喃树脂砂的合理吃砂量,研究了以硅砂为原砂制备的呋喃树脂砂在100～500℃内的溃散性,确定了型砂全部溃散时的最低温度为350℃；然后,运用ProCAST软件模拟了不同壁厚的圆筒形铸铁件的凝固过程及铸型和型芯的温度场,并研究了圆筒形铸铁件壁厚(模数)与呋喃树脂砂临界吃砂量的关系,最终得到了两者之间的回归方程.     

BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation

Session-based recommendation (SBR) and multi-behavior recommendation (MBR) are both important problems and have attracted the attention of many researchers and practitioners. Different from SBR that solely uses one single type of behavior sequences and MBR that neglects sequential dynamics, heterogeneous SBR (HSBR) that exploits different types of behavioral information (e.g., examinations like clicks or browses, purchases, adds-to-carts and adds-to-favorites) in sequences is more consistent with real-world recommendation scenarios, but it is rarely studied. Early efforts towards HSBR focus on distinguishing different types of behaviors or exploiting homogeneous behavior transitions in a sequence with the same type of behaviors. However, all the existing solutions for HSBR do not exploit the rich heterogeneous behavior transitions in an explicit way and thus may fail to capture the semantic relations between different types of behaviors. However, all the existing solutions for HSBR do not model the rich heterogeneous behavior transitions in the form of graphs and thus may fail to capture the semantic relations between different types of behaviors. The limitation hinders the development of HSBR and results in unsatisfactory performance. As a response, we propose a novel behavior-aware graph neural network (BGNN) for HSBR. Our BGNN adopts a dual-channel learning strategy for differentiated modeling of two different types of behavior sequences in a session. Moreover, our BGNN integrates the information of both homogeneous behavior transitions and heterogeneous behavior transitions in a unified way. We then conduct extensive empirical studies on three real-world datasets, and find that our BGNN outperforms the best baseline by 21.87%, 18.49%, and 37.16% on average correspondingly. A series of further experiments and visualization studies demonstrate the rationality and effectiveness of our BGNN. An exploratory study on extending our BGNN to handle more than two types of behaviors show that our BGNN can easily and effectively be extended to multi-behavior scenarios.     

发酵十字花科蔬菜中硫代葡萄糖苷代谢研究进展

硫代葡萄糖苷（简称硫苷）是十字花科蔬菜中一类重要的次生代谢物。在蔬菜发酵过程中，硫苷被代谢为异硫氰酸盐等活性产物，这些代谢产物具有抗氧化、抗癌、调节肠道菌群等多种生理功能。乳酸菌发酵对硫苷的代谢机制包括促进硫苷从蔬菜中释放，以及使其发生降解，且代谢作用既与乳酸菌种属相关，也与发酵体系的盐含量、金属离子、pH值以及蔬菜加热预处理相关。通过总结梳理发酵蔬菜硫苷代谢研究进展，并解析影响因素，为提高发酵蔬菜中活性硫苷代谢产物含量，提升发酵蔬菜的健康效应提供理论指引。