The gray prediction model, based on the GM method, is an important branch of gray theory with the most active research and the most fruitful results, and it is the most widely used because of its small sample size, simple modeling process, and easy to use. Such advantages have been successfully applied in many fields such as transportation, agriculture, energy, medicine, and environment and have been gradually developed into a mainstream predictive modeling method. This study combines the Three-parameter Whitenization Grey (...) Model ), which fits the inhomogeneous exponential law sequence, and the Particle Swarm Algorithm to optimize the order and background value coefficients under the condition of the minimum sum of squares of simulation errors, and hence, to solve the problem that the cumulative order is fixed to “1” and the background value coefficient value is fixed to “0.5.” As a result, a parameter-optimized gray system model with flexibility, adaptability, and dynamic adjustment is designed to simulate and predict China’s higher education gross enrollment rate. The application shows that the model has better overall simulation and prediction performance than others. On the one hand, the parametric optimization model significantly improves its own performance, and on the other hand, its intelligent and adjustable adaptivity improves the accuracy and further extends its application. (shrink)

Subgraph matching on a large graph has become a popular research topic in the field of graph analysis, which has a wide range of applications including question answering and community detection. However, traditional edge-cutting strategy destroys the structure of indivisible knowledge in a large RDF graph. On the premise of load-balancing on subgraph division, a dominance-partitioned strategy is proposed to divide a large RDF graph without compromising the knowledge structure. Firstly, a dominance-connected pattern graph is extracted from a pattern graph (...) to construct a dominance-partitioned pattern hypergraph, which divides a pattern graph as multiple fish-shaped pattern subgraphs. Secondly, a dominance-driven spectrum clustering strategy is used to gather the pattern subgraphs into multiple clusters. Thirdly, the dominance-partitioned subgraph matching algorithm is designed to conduct all isomorphic subgraphs on a cluster-partitioned RDF graph. Finally, experimental evaluation verifies that our strategy has higher time-efficiency of complex queries, and it has a better scalability on multiple machines and different data scales. (shrink)

Security issue against different attacks is the core topic of cyberphysical systems. In this paper, optimal control theory, reinforcement learning, and neural networks are integrated to provide a brief overview of optimal robust control strategies for a benchmark power system. First, the benchmark power system models with actuator and sensor attacks are considered. Second, we investigate the optimal control issue for the nominal system and review the state-of-the-art RL methods along with the NN implementation. Third, we propose several robust control (...) strategies for different types of cyberphysical attacks via the optimal control design, and stability proofs are derived through Lyapunov theory. Furthermore, the stability analysis with the NN approximation error, which is rarely discussed in the previous works, is studied in this paper. Finally, two different simulation examples demonstrate the effectiveness of our proposed methods. (shrink)

Due to the large-scale mining of mineral resources, the surface strata in many areas have collapsed and even developed into deformation and subsidence. Based on the conventional geotechnical deformation monitoring technology, the surface deformation prediction and disaster caused by the conventional geotechnical deformation monitoring technology can be avoided. In this paper, based on GIS, combined with the analysis of surface settlement, the surface settlement, slope value, curvature deformation value, horizontal displacement, and corresponding horizontal deformation formula are comprehensively analyzed and studied. (...) In order to make the surface deformation visualization and realize the high approximation processing with the subsidence area, this paper innovatively introduces the 3D visualization settlement data analysis and realizes the calculation result analysis and corresponding retrieval multiple visualization in the subsidence area depth prediction process. On this basis, the prediction data of subsidence area can be optimized and analyzed so as to master the efficient and accurate law of surface deformation. In the experimental part, a mine is taken as the experimental object, and the 3D visual monitoring processing is carried out. In this paper, the main method to prevent electromagnetic leakage of the computer system is the source suppression method. The source suppression method solves the problem fundamentally by reducing or eliminating the emission of computer electromagnetic leakage source. In the actual experiment, the effect of this method is very effective. The experimental results show that the prediction results and corresponding early warning accuracy of the system are significantly improved compared with the traditional scheme, which provides practical significance for disaster prevention and corresponding environmental impact assessment. (shrink)

Whether financial inclusion and economic growth can sustainably release poverty alleviation effects in long term has been the focus of academia and government sector. This article uses provincial panel data from 2004 to 2019 to examine the dynamic nonlinear connectedness between the financial inclusion, economic growth, income inequality, and poverty alleviation; the main objective is to reveal the direction and intensity of the long-term and short-term impact of each factor on poverty alleviation. By building a panel vector autoregression model, the (...) comparison analyses of national, eastern, central, and western sample groups verify the existence of dynamic nonlinear connectedness among the four variables. The study found that there is complex bidirectional causality between these variables, financial inclusion has the long-term impact on promoting poverty alleviation in China, the impact of economic growth is relatively weak, and income inequality has weakened the positive impact of financial inclusion on poverty alleviation. Through the analysis of impulse response function, variance decomposition, and time-varying nonparametric estimates in different economic regions, we find that the impact of financial inclusion on poverty alleviation presents a U-shaped characteristic, and the contribution of financial inclusion to poverty alleviation in western regions is significant, but poverty reduction in eastern and central region mainly depends on economic growth. For policymakers, financial inclusion can be an effective way to alleviate relative poverty, but the poverty governance should focus more on reducing income inequality in China. (shrink)

The present study is a cross-sectional survey that investigates ethical practices among Chinese psychotherapists from the perspective of a large representative sample of Chinese clients (N?=?1,100). In reports from clients, we found that psychotherapists did poorly in providing informed consent and had other ethical difficulties in the therapeutic setting and with dual relationships. We conclude that Chinese culture, especially Confucianism, had significant impact on the attitudes toward the psychotherapists' ethical practices, which complicated ethical dilemmas. It is important for cross-cultural psychotherapists (...) to become sensitive to the influences of traditional Chinese culture when counseling Chinese clients. (shrink)

We study the case of a Chinese industrial policy, implemented in Shanghai that makes it mandatory for car manufacturers to share electro-mechanical performance and real time navigation data from their entire fleet of electric and hybrid vehicles with local and central government authorities. This policy seeks to prevent fraud in state subsidies, reduce emissions, assess the performance of New Energy Vehicles and strengthen the competitiveness of Chinese manufacturers of these vehicles. We argue that economies of scope in data aggregation may (...) provide traditional market failure arguments in favor of government intervention and mandatory data pooling. Our paper illustrates how data access regimes could be used for economic competition. The EU and China pursue similar data sharing and pooling policy goals that hinge on economies of scope in data aggregation. However, they follow very different political processes to achieve these goals. (shrink)

The present study aimed to examine whether a self-related stimulus produces a self-related process bias between pathological-tendency internet users and ordinary internet users. Participants were asked to judge the color of the target stimulus’ frame (internet pictures) in an implicit priming task, which enclosed the prime of self/other-related words and the target of the online image in sequence. Results from Experiment 1 showed that the main effect of priming type and the interaction of the priming type and the subject group (...) were significant. Further analysis revealed that response time (RT) under the self-related condition was significantly longer than that of the other related conditions. Simple effect analysis indicated that RT under the self-related condition was significantly longer than that under the other-related conditions for pathological-tendency internet users but not for ordinary internet users. In Experiment 2, behavior results demonstrated the main effects of priming type and subject group. Further analysis suggested that RT under the self-related condition was significantly longer than that in the other-related tasks for both groups, and the RT of the pathological-tendency internet users was shorter than that of ordinary internet users. ERP data showed that the amplitudes of late positive components under the self-related condition were smaller than that under the other-related conditions. The N2 amplitude was larger under the self-related condition than under the other-related conditions for pathological-tendency internet users but not for ordinary internet users. This finding suggested that internet use influenced the inhibition control and was automatically retrieved during the processing of self-related stimuli. (shrink)

With the rapid development of China's economy in recent decades, and the decentralization of the country's economic regulation and legal support, private financing has developed rapidly due to its simple, flexible and unique advantages. Some SMEs can solve it to some extent through private financing. The company's own financing issues have also helped the local financial market's effectiveness. Based on the “Yantai Private Financing Interest Rate Index,” this paper constructs a private financial risk index model from three perspectives of interest (...) rate risk, scale risk and credit risk, and conducts a case simulation analysis of the private financing risk index. The characteristic indicators of the early warning system are screened from the macro, micro and stability dimensions, and subjective and objective adjustment coefficients are set for each indicator from both subjective and objective perspectives. This article takes the Yantai Index as the representative of China's private financing interest rate index. Based on the term structure of Yantai's private lending rate, this paper studies its response to macroeconomic shocks and analyzes the information value it contains. And use the private financing interest rate index to build a financial risk monitoring model. Through the system transformation model, the article finds that there is a significant asymmetry in the response of private lending to macroeconomic shocks. When private lending rates are higher, inflation has a greater effect on interest rates; when private lending rates are lower, monetary policy has a stronger regulatory effect on private lending rates. In the data processing, the principal component analysis method and the Bayesian vector autoregressive model were established. Through the study of this article, it is concluded that the interest rate decreases with the increase of the term, and the risk comparison is performed for the 1-month period, 3-month period, June period, 1-year period, and more than 1-year. The risks in the previous period are greater, and the risks in the March and June periods are relatively small. This model can be used to calculate the comprehensive evaluation value and its fluctuation in the historical risk market and historical equilibrium market, so as to determine the risk range of the comprehensive evaluation value. Thus, the early warning system is verified to be feasible. (shrink)

System security is essential for the operation of the island microgrid. However, the system security is generally threatened due to the presence of physical uncertainties and cyber attacks. In this article, a novel sliding mode load control strategy is proposed for the microgrid to mitigate cyber attacks and physical uncertainties. Firstly, a high-order disturbance observer is designed to estimate the unmeasurable factors in the microgrid. Secondly, a HODO-based sliding mode control strategy is proposed where the estimated value observed by the (...) HODO is applied to the sliding mode surface and control law. It can better guarantee the security of the isolated microgrid. Then, the stability of the HODO-based SMC is demonstrated by Lyapunov stability theory. Finally, simulation results show that the proposed control strategy has excellent control performance. (shrink)

ObjectiveTo investigate the short-term effect of music therapy combined with binaural frequency difference therapy on patients with consciousness disorder.Materials and methodsNinety patients with definite diagnosis of disorders of consciousness were selected. These patients were randomly divided into control group, experiment 1 group and experiment 2 group, with 30 patients in each group. The control group was treated with routine clinical treatment and rehabilitation. In experiment 1 group, music therapy was added to the control group. In experimental group 2, music therapy (...) combined with binaural α frequency difference therapy was added to the control group. All patients were assessed before and after 30 treatments. The assessment items included Glasgow Coma Scale, Coma Recovery Scale revised, electroencephalogram, upper somatosensory evoked potential, and brainstem auditory evoked potential.ResultsBefore treatment, there were no significant differences in GCS score, CRS-R score, USEP, BAEP, and EEG scores among the three groups. After 30 times of treatment, GCS score, CRS-R score, USEP, BAEP, and EEG scores in 3 groups were significantly higher than those before treatment. And the consciousness rate of experimental group 2 was better than experimental group 1, experimental group 1 was better than the control group and the difference was statistically significant.ConclusionMusic therapy combined with binaural α frequency difference therapy is more effective in stimulating DOC patients. (shrink)

ObjectiveNumerous studies have demonstrated that religious belief is associated with prosocial behavior. However, how do they maintain cooperation in societies with a predominating atheist population, such as China? Different primings and a quasi-experiment are used to examine the link between communist authority and prosocial behaviors among college students in China.Materials and methodsIn Study 1, the subjects’ communist authority in the university lab was primed by a communist-authority video. In Study 2, we compared the priming effects of communist authority and religion (...) on prosocial intention. Study 3 investigated the priming effect of communist authority on prosocial behaviors by employing a scrambled sentence task in the university lab. A quasi-experiment was conducted in Study 4.ResultsResults showed that communist-authority, a reminder of secular authorities, increased prosociality among college students. And empathy moderated the relationship between secular authorities and prosociality in Study 3 and Study 4.DiscussionCommunist authority, a secular authority prime, has a positive effect on promoting prosocial behaviors. These results provided a feasible yet novel way to reveal the mechanism of the relationship between secular authorities and prosociality in China. (shrink)

《王阳明居黔思想及活动研究》重点研究了居黔时期形成的心即理、知行合一等主要观点，探讨这些观点的形成原因、具体内容及意义；同时，对《五经臆说》之残篇进行研究，以期对阳明思想有更为全面的把握。从被贬赴黔起 ，到离开龙场止，尽可能地弄清居黔活动的相关历史问题，如赴黔时间、居黔时间、离黔时间及原因，在龙场及贵阳的讲学情况、在龙场的生活状况、被贬时龙场驿的情况，试图优选可能还原的居黔活动状况，以期对心学思想的 形成原因有更为清楚的了解。.

本书内容包括:政治的发生;城帮,民众和广场;最好的国家;从世界问题开始的天下政治;治与乱等。.

本书对信仰现象作了批判性反思,探讨了信仰的本质特征和信仰的根本缺陷,介绍了目前人类的信仰状况,指出信仰是一把双刃剑。并对以美育代宗教、以科学代宗教、以哲学代宗教等观点进行探讨。.

Detailed summary in vernacular field only.

劉沅(1767～1855)，祖籍湖北麻城劉家溝，先祖於明末遷蜀。劉沅出生於雙流雲棲裡，嘉慶十二年(1807) 遷居成都淳化街。因劉沅在雙流和成都的書塾中均有一株古槐，故世稱劉沅為“槐軒先生”，其學為“槐軒之學”。劉沅是學問大家，現存著述逾200卷。本書作者2010年開始以槐軒學派的學術思想作為研究物件，以劉沅 所關懷之社會歷史問題為軸心展開探討，闡明其逾出當時知識界義理與考據之爭的真正深意，在於重建社會整體性的價值信念系統。.

本书立足于同情的理解与理性的批导，对唐君毅哲学思想进行了系统的分析，既对唐氏哲学的中心观念“心之本体”作出了通透的阐释，又逐层从道德的哲学、文化哲学和宗教哲学等层面进行了梳理，从而多角度地呈现了唐氏哲 学的特点。.

本书共分五编,内容包括:当代世界与马克思主义概览、国外马克思主义主要流派、西方国家共产党的马克思主义举要、国外马克思主义研究的主要问题和经济全球化与人类社会未来.

本书主要介绍了科学发展观的哲学透视、科学发展观的人学意蕴、科学发展观与价值观、科学发展观与构建和谐社会、科学发展观与社会文明等.

本书所选的论文均围绕着“索绪尔研究”这个主题,分别针对不同的方面展开。包括《索绪尔在世界和中国》、《语言学大师之谜和心理索绪尔》、《关于索绪尔的两本书》等。.