How Sense of Ritual in Tourism Impacts Tourists’Co-Creation of Tourism Experience Values:A Study Based on the Theory of Value Co-Creation

Establishing a sense of ritual within tourism consumption scenarios offers tourists the opportunity for interactive engagement.Drawing upon the value co-creation theory,this study constructed an influence mechanism model to examine tourists'active engagement in the process of co-creating tourism experience values.It employed Partial Least Squares Structural Equation Modeling(PLS-SEM)to empirically test the proposed hypotheses.The findings demonstrate that the model constructed in the present study exhibits robust reliability,validity,and explanatory power.The perception of the sense of ritual in tourism exerts a significant positive influence on tourists’co-creation of tourism experience values,thereby significantly enhancing both the communitas and flow experienced by tourists during their travels.Moreover,such communitas and flow can mediate the influence of the sense of ritual in tourism on tourists’co-creation of tourism experience values.This study contributes to advancing the current research on tourists’co-creation of tourism experience values and the sense of ritual in tourism,thereby providing theoretical foundations for cultivating a sense of ritual within tourism consumption scenarios.

Research on the Marketing Mechanism of E-commerce Live Broadcast - Based on The Perspective of Brand Value Co-Creation

Today,the e-commerce live broadcast industry has formed a huge market,and it has become one of the important ways for most netizens to purchase goods.Live streaming has brought new opportunities for e-commerce and new growth for brand value.The interaction between brands and customers has gradually expanded,in this case,the importance of value co-creation has become more and more prominent.This article will take e-commerce live broadcast marketing as the research object,and the brand value co-creation as the research perspective,then provide a direction based on the value co-creation perspective for the healthy and long-term development of e-commerce live broadcast marketing by studying and analyzing the cases of brand value co-creation.

Risk measurement of international oil and gas projects based on the Value at Risk method

International oil and gas projects feature high capital-intensity, high risks and contract diversity. Therefore, in order to help decision makers make more reasonable decisions under uncertainty, it is necessary to measure the risks of international oil and gas projects. For this purpose, this paper constructs a probabilistic model that is based on the traditional economic evaluation model, and introduces value at risk(VaR) which is a valuable risk measure tool in finance, and applies Va R to measure the risks of royalty contracts, production share contracts and service contracts of an international oil and gas project. Besides, this paper compares the influences of different risk factors on the net present value(NPV) of the project by using the simulation results. The results indicate:(1) risks have great impacts on the project's NPV, therefore, if risks are overlooked, the decision may be wrong.(2) A simulation method is applied to simulate the stochastic distribution of risk factors in the probabilistic model. Therefore, the probability is related to the project's NPV, overcoming the inherent limitation of the traditional economic evaluation method.(3) VaR is a straightforward risk measure tool, and can be applied to evaluate the risks of international oil and gas projects. It is helpful for decision making.

A Class of a Second-Order Two-Point Boundary Value Problem on a Measure Chain

A class of second-order two-point boundary value problem on a measure chain was considered. Under some suitable conditions, by using the Leggett-Williams fixed point theorem in an appropriate cone, the existence of at least three positive solutions to this nonlinear problem was obtained.

The Construction of a Class of Measure-valued Processes of Stochastic Flows

In this article, we give a description of measure-valued processes with interactive stochastic flows. It is a unified construction for superprocesses with dependent spatial motion constructed by Dawson, LI, Wang and superprocesses of stochastic flows constructed by Ma and Xiang.

Implementation of positive-operator-value measurements for single spin qubit via Heisenberg model

This paper shows that a proposal for implementing all possible two-operator positive-operator-value measurements of single spin qubit can be obtained via introducing another spin qubit as ancilla. The realization process is accomplished from the free evolution of the Heisenberg XX model by considering nearest-neighbour spin interaction. A controlled- NOT gate, which is a significant operator for this scheme is also constructed and the generalisation to multiple-operator is considered finally.

Scheme to measure the expectation value of a physical quantity in weak coupling regime

In quantum mechanics, the expectation value of an operator can be measured by using the projective measurement, ifthe coupling between the measured system and pointer is strong enough. However in the weak coupling regime, the pointercan not show all the eigenvalue of the physical quantity directly due to the overlapping among the pointer states, whichmakes the measurement of the expectation value difficult. In this paper, we propose an expectation value measurementmethod in the weak coupling regime inspired by the weak measurement scheme. Compared to the projective measurement,our scheme has two obvious advantages. Experimentally we use the internal state and motional state of a single trapped40Ca+ to establish the measurement scheme and realize the proof of principle demonstration of the scheme.

Consensus Control With a Constant Gain for Discrete-time Binary-valued Multi-agent Systems Based on a Projected Empirical Measure Method

This paper studies the consensus control of multiagent systems with binary-valued observations.An algorithm alternating estimation and control is proposed.Each agent estimates the states of its neighbors based on a projected empirical measure method for a holding time.Based on the estimates,each agent designs the consensus control with a constant gain at some skipping time.The states of the system are updated by the designed control,and the estimation and control design will be repeated.For the estimation,the projected empirical measure method is proposed for the binary-valued observations.The algorithm can ensure the uniform boundedness of the estimates and the mean square error of the estimation is proved to be at the order of the reciprocal of the holding time(the same order as that in the case of accurate outputs).For the consensus control,a constant gain is designed instead of the stochastic approximation based gain in the existing literature for binary-valued observations.And,there is no need to make modification for control since the uniform boundedness of the estimates ensures the uniform boundedness of the agents’states.Finally,the systems updated by the designed control are proved to achieve consensus and the consensus speed is faster than that in the existing literature.Simulations are given to demonstrate the theoretical results.

Measurement of International Competitiveness of Clothing Industry under the Background of Value Chain Reconstruction

Relying on cheap labor cost advantage,China is locked in the low-end processing link of the global value chain and obtains a lower profit share.With the deepening of the international division of labor,changes in the distribution of national interests and the spread of anti-globalization in some developed countries,the global value chain is undergoing a new round of large-scale reconstruction and emerging economies are trying to penetrate and extend to the high end of the global value chain.Based on the theory of industrial upgrading and global value chain,this paper focuses on the current development of Chinese apparel industry,the mechanism,development and problems of global value chain reconstruction,analyzes the relevant elements in the apparel industry value chain reconstruction,and proposes the application of data envelopment analysis(DEA)competitiveness model in the value chain reconstruction of apparel enterprises.We use the CCR(C2R)model to simulate the improvement of production efficiency.Finally,we put forward corresponding countermeasures and suggestions for the value chain reconstruction from the perspective of improving product competitiveness.

Prognostic Value of Dynamic Tissue Perfusion Measurements in Transplanted Kidneys

Background: The dynamic tissue perfusion measurement in renal transplants has demonstrated its potential to correlate microvascular perfusion changes with histologic changes in the renal cortex [1]. It has shown in cross sectional studies that the cortical perfusion depends on the time elapsed after transplantation [2,3], but has not yet been applied as a prognostic marker. Therefore, we compared in a prospective 6-year study the initial perfusion measurements with the outcome of the graft function. Method: In 78 renal graft recipients, standardized color Doppler sonographic videos were recorded and cortical perfusion was measured in well-defined regions of interest with the PixelFlux-software. Results: In the beginning of the study, prospectively failing grafts (requiring dialysis) had a significantly lower cortical perfusion compared to grafts with preserved function (0.40 vs. 0.57 cm/s average perfusion intensity of the entire cortex). The interval between perfusion measurement and graft failure was 2.17 years (0 - 6 years). Conclusion: Thus, dynamic tissue perfusion measurement may have a role in the prospective evaluation of renal transplant function. Summary: In 78 transplant recipients, we could demonstrate the prognostic potential of the dynamic color Doppler sonographic perfusion measurement of renal transplants. Perfusion was significantly diminished in those grafts that failed later on within a 6-year period. Thus, cortical perfusion measurement might be valuable as a non-invasive prospective method which reflects the state of the cortical microvasculature.

Effect of Fair Value Measurement on Earnings Management of Chinese Real Estate Listed Companies

since the fair value has been used,it has always been paid more attention to,after the financial crisis,it has caused widespread denunciation of the academic session.In the new accounting standards issued in 2014,the attention of fair value has always been very high,which can reflect the influence of enterprises on earnings management through the measurement of fair value.By describing the application of fair value under the new criteria to pave the way for the following description.The back illustrates the impact of fair value on earnings management under the new guidelines.At the end of the paper,some policies and constructive suggestions are put forward to improve earnings management in Chinese enterprises.

Conclusive Teleportation of an Arbitrary Three-Particle State via Positive Operator-Valued Measurement

We present a scheme for conclusive teleportation of an arbitrary and unknown three-particle state by per-forming three Bell-state measurements at the sender's side and a positive operator-valued measurement at the receiver'sside.Moreover,we obtain the successful probability of teleportation and make a brief discussion on the average fidelityfor the conclusive teleportation scheme.

A LIMIT THEOREM FOR INTERACTING MEASURE-VALUED BRANCHING PROCESSES

It is well known that Fleming-Viot superprocesses can be obtained from the Dawson-Watanabe superprocesses by conditioning the latter to have constant total mass. The same question is investigated for measure-valued branching processes with interacting intensity independent of the geographical position. It is showed that a sequence of conditioned probability laws of this kind of interacting measure-valued branching processes also approximates to the probability law of Fleming-Viot superprocesses.

OPTIONAL AND PREDICTABLE PROJECTIONS OF SET-VALUED MEASURABLE PROCESSES

In this paper,the optional and predictable projections of set-valued measurable processes are studied.The existence and uniqueness of optional and predictable projections of set-valued measurable processes are proved under proper circumstances.

The Multifractal Formalism for Measures, Review and Extension to Mixed Cases

The mulfifractal formalism for single measure is reviewed. Next, a mixed generalized multifractal formalism is introduced which extends the multifractal formalism of a single measure based on generalizations of the Hausdorff and packing measures to a vector of simultaneously many measures. Borel-Cantelli and Large deviations Theorems are extended to higher orders and thus applied for the validity of the new variant of the multifractal formalism for some special cases of multi-doubling type measures.