基于专利宽度和深度的技术复杂度分析

本文以Ozman M.提出的专利技术复杂度测度方法为基础,使用中国发明专利数据计算了三十个技术领域的宽度与深度,并与Ozman M.使用欧洲专利数据的计算结果进行了对比,从中发现各技术领域的技术复杂度在中国和欧洲表现出了趋同特性。电信领域前二十家公司在中国和欧洲的技术复杂度差异较大。日本电信类公司较美国和欧洲电信类公司拥有更高的技术宽度和深度,说明日本电信类公司拥有更复杂的专利技术。     

基于深度推进和广度普及理念下的中国传媒产业链构建路径研究

本文结合传媒产业自身的发展规律及其在价值链构建过程中存在的“广度不足”、“深度不够”等顽症,运用产业经济学、产权经济学的相关理论,基于“广度普及”和“深度推进”两大理念,尝试提出一个构建科学、有序的传媒产业价值链的框架和路径:即采用“价值链纵横延伸”和“内在价值链挖掘”两把利剑,剔除我国传媒产业价值链中的顽疾,打造新型的、具有生命力的传媒产业价值链,促进中国传媒产业的健康、高效运作。     

Communication-saving design by stochastic event triggers

This paper proposes a design framework of sensor communication by using the stochastic event triggers, which aims at best saving the communication resources. The system to be considered is as follows: a sensor takes measurements of the states of a dynamic process and sends the information to a remote estimator, and the estimator computes the state estimates for the dynamic process. To save communication resources, a set of stochastic event triggers on the measurements are assigned to the sensor. At each sampled time, when no trigger is triggered, the sensor sends nothing to the estimator; when one of them is triggered, the sensor sends the identity code of the corresponding trigger. It is shown that once the estimator receives the identity of the trigger, it is equivalent for the estimator to receiving a measurement from a certain virtual sensor. Based on it, the system performance under the proposed communication is analyzed, and the design of specific models is considered. Examples are presented to demonstrate the proposed communication design.     

Quantum mechanics experiment mimicked by stochastic calculations

The paper presents a stochastic calculations algorithm that mimics the photon polarization experiments of quantum mechanics. This experiment is usually used to introduce the quantum computing approach. Stochastic filters that operate on stochastic numbers in a mode similar to that of polarized filter operation on random polarized photons are introduced.     

浅谈税务数据挖掘与深度利用

中国入世对政府部门的职能提出了严峻挑战,实现税务信息化是税务部门急待解决的问题,而数据挖掘是实现信息化的必由之路。金税三期展开前后,税务部门都比较关注税务数据的深度利用和数据挖掘问题。本文浅谈对税务数据深度利用的理解,并在此基础上提出应该考虑的核心工作,最后介绍在税务数据利用平台建设方面的一些心得体会。     

Higher-order topology induced by structural buckling

Higher-order topological insulator (HOTI) states, such as two-dimension (2D) HOTI featured with topologically protected corner modes at the intersection of two gapped crystalline boundaries, have attracted much recent interest. However, the physical mechanism underlying the formation of HOTI states is not fully understood, which has hindered our fundamental understanding and discovery of HOTI materials. Here we propose a mechanistic approach to induce higher-order topological phases via structural buckling of 2D topological crystalline insulators (TCIs). While in-plane mirror symmetry is broken by structural buckling, which destroys the TCI state, the combination of mirror and rotation symmetry is preserved in the buckled system, which gives rise to the HOTI state. We demonstrate that this approach is generally applicable to various 2D lattices with different symmetries and buckling patterns, opening a horizon of possible materials to realize 2D HOTIs. The HOTIs so generated are also shown to be robust against buckling height fluctuation and in-plane displacement. A concrete example is given for the buckled -Sb monolayer from first-principles calculations. Our finding not only enriches our fundamental understanding of higher-order topology, but also opens a new route to discovering HOTI materials.     

Reversal of haemodialysis induced hypertriacylgycerolemia by L-carnitine

A 24 week follow-up study on lipid change following maintenance haemodialysis (MHD) in 25 chronic renal failure (CRF) patients revealed significantly raised serum Triacylglycerol (TAG) levels in these cases (P<0.001), while cholesterol and HDL-Cholesterol did not show any significant change, the extent of increase was 10.5±3.6% after 12 weeks and 23.0±5.8% after 24 weeks. Corresponding increase in CRF patients treated conservatively, without haemodialysis, were 3.1±1.2% and 7.2±2.7% at these intervals. Subsequent oral administration of L-Carnitine (5mg/kg body weight twice a day) for three weeks brought about a significant reversal of elevated serum TAG level in MDH group as well as in the conservatively treated group (P≤0.05). It is concluded that the haemodialysis induced Hyper-Triacylglycerolemia of CRF patients is revertible by Carnitine replenishment. Even the concomitant increase in conservatively treated group is revertible by carnitine administration.     

运用智库双螺旋法构建绿色GDP评价体系

在新发展阶段，将绿色国内生产总值（GDP）作为发展绿色经济、低碳经济和循环经济的切入点，以及衡量高质量发展、可持续发展和现代化发展的重要指标，是保障建设“美丽中国”、基本实现社会主义现代化和达成碳中和目标的有效途径。文章围绕绿色GDP评价问题，运用智库双螺旋方法，从认识论、方法论和实践论角度，为绿色GDP评价提供了创新研究范式，从而拓宽了GDP评价体系研究路径。在绿色GDP评价理论方面，依据DIIS过程融合法的数据收集、揭示信息和综合研判过程，梳理绿色GDP评价研究环节，重塑我国绿色GDP评价体系的理论基础。在绿色GDP评价应用方面，从机理分析、影响分析和政策分析出发，总结我国绿色GDP评价体系演进规律。依据智库双螺旋法DIIS研究过程和MIPS逻辑环节融合，总结绿色GDP评价理论分析和演进规律，提出了构建我国绿色GDP评价体系的基本原则、指标框架和实施路径。针对我国未来发展面临形势和绿色GDP评价重要性，指出在智库双螺旋法指导下，从理论体系、技术方法和实践应用方面推进绿色GDP评价研究的建议。     

Cylinder position control driven by pneumatic digital bridge circuit using a fuzzy algorithm under large stroke and varying load conditions

A digital bridge circuit based on the concept of independent metering control can enable the precise position control of a pneumatic cylinder, but large strokes and variable loads still cause challenges. To solve this problem, a piecewise on/off valve flow compensator and a composite friction observer were innovatively designed in this study, and they were combined with a multiple fuzzy intelligent algorithm to ensure the accuracy and robustness of pneumatic position control. Considering the starting and stopping delays and the response processes of on/off valves, a six-stage flow–duty ratio linearization relationship was proposed. Employing a parameter identification method, a static and dynamic composite friction model was presented. Then, a fuzzy PID controller was proposed, and a genetic algorithm was used to optimize the control parameters. Experiment results showed that, when focusing on a large stroke (250 mm) and varying loads (8.5–18.5 kg), for sinusoidal signal with amplitude of 150 mm and frequency of 0.125 Hz and the air supply pressure is 0.5 Mpa, the algorithm in this study could ensure that the steady-state step response error was less than 1% and the root mean squared error of the sinusoidal trajectory tracking was less than 3%.     

双帕累托分布及其经济学研究的运用

双帕累托分布能够更好地刻画某些经济或者自然现象的规模分布,并且对现实统计数据有较好的拟合。文章给出双帕累托的分布,并且列举其在经济问题研究的3个具体应用。     

Finite-time stability and stabilization of linear discrete time-varying stochastic systems

This paper studies the finite-time stability and stabilization of linear discrete time-varying stochastic systems with multiplicative noise. Firstly, necessary and sufficient conditions for the finite-time stability are presented via a state transition matrix approach. Secondly, this paper also develops the Lyapunov function method to study the finite-time stability and stabilization of discrete time-varying stochastic systems based on matrix inequalities and linear matrix inequalities (LMIs) so as to Matlab LMI Toolbox can be used.The state transition matrix-based approach to study the finite-time stability of linear discrete time-varying stochastic systems is novel, and its advantage is that the state transition matrix can make full use of the system parameter informations, which can lead to less conservative results. We also use the Lyapunov function method to discuss the finite-time stability and stabilization, which is convenient to be used in practical computations. Finally, three numerical examples are given to illustrate the effectiveness of the proposed results.     

Probabilistic Chinese word segmentation with non-local information and stochastic training

In this article, we focus on Chinese word segmentation by systematically incorporating non-local information based on latent variables and word-level features. Differing from previous work which captures non-local information by using semi-Markov models, we propose an alternative method for modeling non-local information: a latent variable word segmenter employing word-level features. In order to reduce computational complexity of learning non-local information, we further present an improved online training method, which can arrive the same objective optimum with a significantly accelerated training speed. We find that the proposed method can help the learning of long range dependencies and improve the segmentation quality of long words (for example, complicated named entities). Experimental results demonstrate that the proposed method is effective. With this improvement, evaluations on the data of the second SIGHAN CWS bakeoff show that our system is competitive with the state-of-the-art systems.     

Sliding mode state and parameter identification for linear stochastic systems

This paper presents the sliding mode mean-square and mean-module state filtering and parameter identification problems for linear stochastic systems with unknown parameters over linear observations, where unknown parameters are considered Wiener processes. The original problems are reduced to the sliding mode mean-square and mean-module filtering problems for an extended state vector that incorporates parameters as additional states. The obtained sliding mode filters for the extended state vector also serve as the optimal identifiers for the unknown parameters. Performance of the designed sliding mode mean-square and mean-module state filters and parameter identifiers are verified for both, stable and unstable, linear uncertain systems.     

Stationary distribution and extinction of a stochastic dengue epidemic model

In this paper, we investigate the dynamical behavior of a stochastic dengue epidemic model. First of all, by constructing a suitable stochastic Lyapunov function, we obtain sufficient conditions for the existence of an ergodic stationary distribution of the positive solutions to the model. Then we establish sufficient conditions for extinction of the diseases. The existence of stationary distribution implies stochastic weak stability.     

Stabilization of differently structured hybrid neutral stochastic systems by delay feedback control under highly nonlinear condition

This paper mainly studies the stabilization of differently structured highly nonlinear hybrid neutral stochastic systems by delay feedback control. Based on the existing works, our new neutral type stochastic system has completely different highly nonlinear structures in switching subspaces, which is more general and applicable. When such a system is given unstable, we focus on studying the asymptotic and exponential stability criteria by designing a feedback control with a time delay for the underlying system. A simulating example is shown to illustrate the feasibility of these results.     

中国投资引致碳排放与经济增长的空间特征及脱钩测度

长期以来中国经济增长依赖投资,在低碳经济时代下,投资引致的碳排放和经济增长脱钩关系应受到关注。以往对此研究相对较少,且忽略了投资通过不同区域间产业联系所引发的间接脱钩。本文引入面积元并结合投入产出表以改进脱钩模型,研究了2007-2010年间全社会固定资产投资直接、间接引致的中国30个省区市碳排放和经济增长的空间特征及脱钩关系。结果显示：①大部分省份由投资引致的经济增长比碳排放略快,两者为弱脱钩关系;北京和上海实现强脱钩发展,内蒙古、宁夏等资源型省份多为扩张负脱钩;②投资直接引致农林牧渔业实现脱钩发展,建筑业和服务业的直接脱钩状态相对较差;工业投资引致不同区域各产业的间接负脱钩状态最多,服务业受其他行业投资间接影响多呈现负脱钩状态。低碳发展相关政策的制定应考虑地区间的经济联系和产业间的拉动作用,适当补偿承担高碳生产环节的地区,避免盲目发展可能转移大量碳排放的产业。