"Australian Companies Remain Committed to the China Market"——Exclusive Interview with David Olsson,President and Chairman of Australia China Business Council

This year marks the10th anniversary of the establishment of the comprehensive strategic partnership between China and Australia,and the development of bilateral relations are getting back on the right track.Recently,David Olsson,President and Chairman of the Australia China Business Council,stated his comments,when accepting an exclusive interview with China's Foreign Trade.

High throughput N-modular redundancy for error correction design of memristive stateful logic

Memristive stateful logic is one of the most promising candidates to implement an in-memory computing system that computes within the storage unit.It can eliminate the costs for the data movement in the traditional von Neumann system.However,the instability in the memristors is inevitable due to the limitation of the current fabrication technology,which incurs a great challenge for the reliability of the memristive stateful logic.In this paper,the implication of device instability on the reliability of the logic event is simulated.The mathematical relationship between logic reliability and redundancy has been deduced.By combining the mathematical relationship with the vector-matrix multiplication in a memristive crossbar array,the logic error correction scheme with high throughput has been proposed.Moreover,a universal design paradigm has been put forward for complex logic.And the circuit schematic and the flow of the scheme have been raised.Finally,a 1-bit full adder(FA)based on the NOR logic and NOT logic is simulated and the mathematical evaluation is performed.It demonstrates the scheme can improve the reliability of the logic significantly.And compared with other four error corrections,the scheme which can be suitable for all kinds of R–R logics and V–R logics has the best universality and throughput.Compared with the other two approaches which also need additional complementary metal–oxide semiconductor(CMOS)circuits,it needs fewer transistors and cycles for the error correction.

High-performance chiral all-optical OR logic gate based on topological edge states of valley photonic crystal

For all-optical communication and information processing,it is necessary to develop all-optical logic gates based on photonic structures that can directly perform logic operations.All-optical logic gates have been demonstrated based on conventional waveguides and interferometry,as well as photonic crystal structures.Nonetheless,any defects in those structures will introduce high scattering loss,which compromises the fidelity and contrast ratio of the information process.Based on the spin-valley locking effect that can achieve defect-immune unidirectional transmission of topological edge states in valley photonic crystals(VPCs),we propose a high-performance all-optical logic OR gate based on a VPC structure.By tuning the working bandwidth of the two input channels,we prevent interference between the two channels to achieve a stable and high-fidelity output.The transmittance of both channels is higher than 0.8,and a high contrast ratio of 28.8 dB is achieved.Moreover,the chirality of the logic gate originated from the spin-valley locking effect allows using different circularly polarized light as inputs,representing“1”or“0”,which is highly desired in quantum computing.The device’s footprint is 18μm×12μm,allowing high-density on-chip integration.In addition,this design can be experimentally fabricated using current nanofabrication techniques and will have potential applications in optical communication,information processing,and quantum computing.

A study of the logical model of capital market complexity theories

Analyzes the shortcomings of the classic capital market theories based on EMH and discloses the complexity essence of the capital market. Considering the capital market a complicated, interactive and adaptable dynamic system, with complexity science as the method for researching the operation law of the capital market, this paper constructs a nonlinear logical model to analyze the applied realm, focal point and interrelationship of such theories as dissipative structure theory, chaos theory, fractal theory, synergetics theory, catastrophe theory and scale theory, and summarizes and discusses the achievements and problems of each theory. Based on the research, the paper foretells the developing direction of eomplexity science in a capital market.

Chinese Brands at the Crossroad？ Demand State in Kerala Markets

Globalization and liberalization offer competitive openings for several world brands to the Indian markets. Bestowed with growing disposable incomes, Kerala consumers exhibit wide diversity in their buying habits. Apparently, the emerging fascination for imported brands impels distributers to leave enough space to shelf more ＂made in China＂ brands in their showrooms. The substantial increase in consumers＇ demand for imported goods with considerable attraction for ＂made in China＂ products inspired this study to explore the demand state for various types of Chinese products in the Indian regional markets. Divided into two stages, at first, with a primary survey, the study explores the consumers＇ perception towards selected five vastly available consumer durables such as electrical appliances, handicrafts, stationeries, toys and builds wares. Later, the demand matrix developed from the primary data defines the types of demand prevailing for each category of＂made in China＂ products based on their popularity and consumption in Kerala markets.

Land,Markets and the Modernization of Rural Society:A Comparison of the Views of Fei Xiaotong and R.H.Tawney

Fei Xiaotong’s(Fei Hsiao-tung)works on rural economies and societies written in the 1940s were deeply affected by British economic historian R.H.Tawney.Through comparison,this article reveals at least two connections between their works.First,Tawney’s analysis of the transition from agricultural modernization to industrial modernization in Britain serves as a reference for Fei’s works on the economic transformation of the Yangtze Valley in Jiangsu and Lucun village in Yunnan.Second,Tawney’s“theory of gentry”also serves as the underlying view for Fei’s theory on the functions of the Chinese gentry.However,Fei does not simply follow Tawney’s steps.Instead,he offers unique insights into the issues of horticulture transformation and gentry types in China.Furthermore,in Fei’s social theory and practice,the role of“state”was considered to be less positive.The interrelations of the community,market,intellectuals and the state construct Fei’s modernization scheme of China.His idea about how China,a slower participant in the world system,can maintain economic autonomy was still valuable today.

Importance Analysis of a Multi-state System Based on Direct Partial Logic Derivatives and Multi-valued Decision Diagrams

Importance analysis quantifies the critical degree of individual component. Compared with the traditional binary state system,importance analysis of the multi-state system is more aligned with the practice. Because the multi-valued decision diagram( MDD) can reflect the relationship between the components and the system state bilaterally, it was introduced into the reliability calculation of the multi-state system( MSS). The building method,simplified criteria,and path search and probability algorithm of MSS structure function MDD were given,and the reliability of the system was calculated. The computing methods of importance based on MDD and direct partial logic derivatives( DPLD) were presented. The diesel engine fuel supply system was taken as an example to illustrate the proposed method. The results show that not only the probability of the system in each state can be easily obtained,but also the influence degree of each component and its state on the system reliability can be obtained,which is conducive to the condition monitoring and structure optimization of the system.

Dynamic Spatial Evolution of Market-oriented Supply Level of State-owned Land

The purpose of this study is to analyze the characteristics of the spatial distribution and change trend of the marketing level of stateowned land supply so as to provide policy recommendations. Method of spatial autocorrelation analysis is employed. The results indicate that the spatial layout of the land supply marketing level is generally dispersed,but it does assemble in some specific area. The correlation between the marketing level of state-owned land supply and the economic development is not statistically significant. But their relations fluctuate obviously. The overall marketing level of state-owned land supply is increasing and spatially concentrated. The expansion rate of marketing has decreased first and then increased and stabilized now. The high-value cluster center of marketing level of state-owned land supply exists all over the country; however the existence probability of the cluster is bigger in undeveloped areas. It is concluded that spatial autocorrelation analysis is a good method to quantitatively analyze the spatial variation of marketing level of state-owned land supply in China. To grasp the spatial and temporal variations of the marketing level of state-owned land supply is also good to enhance running of the state-owned land market.

Modeling and Control of a Continuous Stirred Tank Reactor Based on a Mixed Logical Dynamical Model

A novel control strategy for a continuous stirred tank reactor(CSTR)system,which has the typical characteristic of strongly pronounced nonlinearity,multiple operating points,and a wide operating range,is initiated from the point of hybrid systems.The proposed scheme makes full use of the modeling power of mixed logical dy- namical(MLD)systems to describe the highly nonlinear dynamics and multiple operating points in a unified framework as a hybrid system,and takes advantage of the good control quality of model predictive control(MPC) to design a controller.Thus,this approach avoids oscillation during switching between sub-systems,helps to relieve shaking in transition,and augments the stability robustness of the whole system,and finally achieves optimal(i.e. fast and smooth)transition between operating points.The simulation results demonstrate that the presented ap- proach has a satisfactory performance.

Quantum Logic Networks for Probabilistic Teleportation of an Arbitrary Three-Particle State

The scheme for probabilistic teleportation of an arbitrary three-particle state is proposed. By using single qubit gate and three two-qubit gates, efficient quantum logic networks for probabilistic teleportation of an arbitrary three-particle state are constructed.

Intelligent Process Fault Diagnosis for Nonlinear Systems with Uncertain Plant Model via Extended State Observer and Soft Computing

There have been many studies on observer-based fault detection and isolation (FDI), such as using unknown input observer and generalized observer. Most of them require a nominal mathematical model of the system. Unlike sensor faults, actuator faults and process faults greatly affect the system dynamics. This paper presents a new process fault diagnosis technique without exact knowledge of the plant model via Extended State Observer (ESO) and soft computing. The ESO’s augmented or extended state is used to compute the system dynamics in real time, thereby provides foundation for real-time process fault detection. Based on the input and output data, the ESO identifies the un-modeled or incorrectly modeled dynamics combined with unknown external disturbances in real time and provides vital information for detecting faults with only partial information of the plant, which cannot be easily accomplished with any existing methods. Another advantage of the ESO is its simplicity in tuning only a single parameter. Without the knowledge of the exact plant model, fuzzy inference was developed to isolate faults. A strongly coupled three-tank nonlinear dynamic system was chosen as a case study. In a typical dynamic system, a process fault such as pipe blockage is likely incipient, which requires degree of fault identification at all time. Neural networks were trained to identify faults and also instantly determine degree of fault. The simulation results indicate that the proposed FDI technique effectively detected and isolated faults and also accurately determine the degree of fault. Soft computing (i.e. fuzzy logic and neural networks) makes fault diagnosis intelligent and fast because it provides intuitive logic to the system and real-time input-output mapping.

One Hot Encoding Synthesis of Quantum Automata from Flowcharts

We present a new approach to the synthesis of quantum automata. In previous research, reversible quantum automata were designed from tabular specifications or state graphs, and minimum length codes, which lead to circuits with Toffoli gates with high numbers of inputs and thus to high quantum costs. This paper is the first to present a method to synthesize Sequential Quantum Circuits directly from flowcharts. In this paper, we directly map flowcharts to reversible/quantum circuits, using only inverters, 2*2 Feynman gates and 3*3 Toffoli gates, and thus reducing quantum costs. Our method has been confirmed by experiments on several benchmarks of practical flowcharts.

Probabilistic Teleportation of an Unknown Two-Particle State with a Four-Particle Pure Entangled State and Positive Operator Valued Measure

We propose a scheme for probabilistic teleportation of an unknown two-particle state with a four-particle pure entangled state and positive operator valued measure （POVM）. In this scheme the teleportation of an unknown two-particle state can be realized with certain probability by performing two Bell state measurements, a proper POVM and a unitary transformation.

Bell States and Two-Qubit Logic Gate with Superconducting Charge Qubits Coupling to a Nanomechanical Resonator

We propose a scheme for generating Bell states involving two SQUID-based charge qubits by coupling themto a nanomechanical resonator.We also show that it is possible to implement a two-qubit logic gate between the twocharge qubits by choosing carefully the interaction time.

The Contribution of Greenhouse Gas Emissions on Future Acid Rain in States of Gulf Cooperation Council: Measures to Adopt

Air pollution is one of the serious problems facing the world. This is mainly due to production and consumption of fossil fuels. Sulphur dioxide (SO2) and oxides of nitrogen (NOx) emissions could affect human health and destroy vegetation through acid deposition and cause transboundary air pollution. Currently, there are no regional ambient SO2 and NOx regulations and control measures of many developing countries including GCC countries. This paper reviewed the experiences of the past acid rain pollution problems in United States, Canada, Europe, Japan and China. In addition, the plausible control measures through application of air pollution abatement technologies, market based regulations were discussed. The study recommended that suitable and locally based measures could be adopted by GCC states to prevent future occurrence of acid rain within the region and beyond.

The 2007-2009 Financial Crisis on Emerging Markets： Quantitative Identification of Crisis in Continent-based Regions

This paper focuses on a direct quantitative identification of crisis periods in selected emerging stock markets from four continent-based regions of Europe, Latin America, East Asia, and Middle East and North Africa （MENA）, in the context of an influence of the 2007 U.S. subprime financial crisis. The 17 emerging stock markets and, for comparison, the U.S. stock market are investigated. A statistical method of dividing market states into bullish and bearish markets, based on monthly logarithmic returns of major stock market indexes, is employed. The analyzed sample period begins in January 2003 and ends in December 2013. As there is no unanimity in the literature about the crisis periods in the continent-based regions, a formal statistical identification of crises is worthwhile to conduct. Furthermore, the effect of increasing cross-market correlations in the crisis compared to the pre-crisis period in the context of contagion is examining. To address this issue, both standard contemporaneous cross-correlations and volatility-adjusted cross-correlations are applied. The results are consistent with the literature and confn＇m that tests for contagion based on cross-market correlations are problematic due to the bias introduced by changing volatility in market returns. As contagion can be confused with globalization, the globalization tests in the group of international investigated markets are employed. The results generally do not confirm a global world market integration effect, i.e. there is no reason to reject the research hypothesis of no globalization during the 2007-2009 financial crisis.

Research on the Effects of the Most Used Market Power Mitigation Mechanisms Considering Different Market Environments

The market power mitigation method of the supply-side has become one of the key points affecting the stability of the electricity spot market.Different mitigation mechanisms are used in the current mature electricity markets of the world.However,the same market power mitigation mechanism shows different effects in different market environments.Every market operator in the world needs the most efficient way to mitigate market power.Considering that there is no relevant literature discussing the market power effects of different mitigation methods in detail,the mitigation effects need to be discussed and further researched.So,we analyze the effects of the most utilized market power mitigation mechanisms while considering different market environments.Firstly,we establish a Nash-Stackelberg interactive game model to simulate the competitive strategies of power suppliers.Secondly,the different market power mitigation approaches are modeled.Then,a multi-agent system(MAS)genetic interior-point algorithm is proposed to solve the problem of suppliers.Finally,through the simulation analysis,the market power mitigation effects of different mechanisms while considering three operation states of the system in two market structures are all analyzed.

The Dissemination and Contemporary Construction of Folklore in the Context of Multiple Interactions-Take the Liangshan Water Margin as an Example

Folklore is an important carrier to show local culture and express people’s emotions in the way of oral transmission.Tradition holds that folklore loses its vitality without oral narration.However,it is difficult to find the traditional context of telling and disseminating folklore only by word of mouth.More often,under the impetus of multiple contexts and different forces,folklore in multiple media is widely spread through mutual reference and integration.The current situation of the water Margin theory circulating in Liangshan area is enough to illustrate this point.Water Margin has a very long history of inheritance,from government officials to ordinary people,under the influence of different media,dissemination and inheritance,become a rich local cultural capital.In the current social development context,the spread of the outlaws of the Marsh is no longer a simple word of mouth.The emergence of high-tech means such as Television and the Internet,as well as the promotion of cultural tourism,has reconstructed the legend of the contemporary water Margin figures.In the process of the reconstruction of the local legend of the water margin in Liangshan,the joint efforts of national forces and market factors have promoted the blending and exchange of three different levels of literature,such as elite literature dominated by the legend of the water margin,popular literature represented by folk quyi and folk literature spread orally by the general public,forming a communication situation of mutual learning,mutual tolerance and interaction between elegance and customs.

The Essence of Optimism of The Economists and Investors with Regard to the Economy of Russia

The gross domestic product of Russia,expressed in US dollars,indicates problems in the Russian economy associated with the decline in oil prices on the world energy market and the consequences of the sanctions of the United States and the European Union against Russia.The crisis situation of the Russian economy has a negative impact on the income of the population of country,represented mainly by wages.However,an economist or investor may be optimistic about Russian economic development in the medium term.This optimism is related to the economic policy of the United States.The expansion of the United States economy within the global space,based on economic growth,requires maintaining inflation within the target level and weakening the US dollar.These tasks are solved with the help of soft monetary policy of the US Federal Reserve System.The reduction of interest rates by the US Federal Reserve System against the background of inflation of the target level and the devaluation of the US dollar will contribute to economic growth in the United States,because it will lead to the depreciation of public debt,lower consumption of imports,increase in exports and trade balance,growth of production,income,consumption.The economic policy of the United States,which contributes to the devaluation of the US dollar,will also reduce the US dollar against the ruble.The optimistic view of investors-economists on the Russian economy is due to a significant strengthening of the ruble against the US dollar.Consequently,in the medium term,the gross domestic product and wages of citizens of Russia,expressed in US dollars,will significantly increase,and the purchasing power of the national currency of the country will also increase.This growth may continue until the next election of a new President of the United States in november 2020.After the election of the new President of the United States,there is a high probability of sanctions against Russia and of decline in oil prices in the world energy market in accordance with the future economic policy of the United States–two main reasons for the sharp strengthening of the US dollar against the ruble,which will cause a deeper economic crisis in Russia in the medium and long term.

The Reform on “Separation of Operation Permits and Business Licenses” Is Implementing Nationwide

On 10 October 2018, the State Council issued a noticed on the reform of “Separation of Operation Permits and Business Licenses”, which pointed out that from 10 November 2018, the first batch of 106 administrative examination and approval items involved with enterprises around the country will be reformed respectively to one of the 4 ways in: 1) direct cancellation of approval; 2) record-keeping instead of approval; 3) implement informed commitment; or 4) optimization of market access services.