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The paper aims to clarify the advantages of the virtual grid‐based (VGB) front tracking method developed for two‐phase bubble flows in comparison with currently used grid‐based and grid‐free methods.

The paper opted for using two test cases to demonstrate the advantages of this VGB approach for front tracking.

The results from the test runs show a ten times higher calculation accuracy.

Due to the limited test runs, the VGB approach may not fit some other applications. Researchers are encouraged to further develop and test this new approach.

The paper includes implications for further development of a comprehensive approach for front tracking and data communications between the front and computational grid.

This paper fulfills an identified need to study how the front tracking can be made more accurate and reliable.

The purpose of this paper is to examine Chinese police officers’ general support for police intervention into domestic violence, emphasizing adequate protection of the victims, and specific support for utilizing arrests to deal with the offenders.

This study relies on survey data collected from 1,064 police officers who worked in multiple areas in two provinces of China between June and July of 2019. OLS models were used to test whether organizational variables are significant predictors of officer attitudes toward domestic violence intervention.

Both agency endorsement and supervisory support are positively related to officers’ favorable attitudes toward police intervention into domestic violence and using arrests to handle offenders. The amount of training received from the agency on the recently promulgated Anti-Domestic Violence Law, however, has a negative influence on officer support for general intervention into domestic violence and no influence on officer attitudes toward arrests.

This study represents one of the first attempts to investigate the connections between organizational and managerial factors and Chinese officers’ support for both general and specific interventions into domestic violence. It contributes to the current literature that only included police cadets in the analysis of Chinese police attitudes toward domestic violence despite the fundamental differences between cadets and active-duty officers.

Following Hovland’s persuasion theory, this paper aims to develop a conceptual model and analyzes characteristics of online political deliberation behavior from three aspects (i.e. information, situation and manager). Based on the whole interactive process of online political deliberation, this paper aims to reveal the key points that affect the response effect of the government from the persuasive perspective of online political consultation.

Based on more than 40,000 netizens’ posts and government responses from 2011 to the first half of 2019 of the Chinese political platform, this paper used the text analysis and machine learning methods to extract measurement variables of online political deliberation characteristics and the econometrics analysis method to conduct empirical research.

The results showed that the textual information, political environment and identity of the political objects affect the effectiveness of government response. Furthermore, for different position categories of political officials, the length of political texts, topic categories and emotional tendencies have different effects on the response effectiveness. Additionally, the effect of political time on the effectiveness of response differs.

The findings will help ascertain the characteristics of online political deliberation behavior that affect how effective government response is and provide a theoretical basis for why the public should express their political concerns.

Various factors may influence project finance when a multi-sourced debt financing strategy is used for financing capital investments, in general, and public infrastructure investments, in particular. Traditional indicators lack comprehensive consideration of the influences of many internal and external factors, such as investment structure, financing mode and credit guarantee structure, which exist in the financing decision making of BOT projects. An effective approach is, thus, desired. The paper aims to discuss these issues.

This paper develops a financial model that uses an interval number to represent the uncertain factors and, subsequently, conducts a standardization of the interval number. Decision makers determine the weight of each objective through the analytic hierarchy process. Through the optimization procedure, project investors and sponsors are provided with a strategy regarding the optimal amount of debt to be raised and the insight on the risk level based on the net present value, as well as the probability of bankruptcy for each different period of debt service.

By using an example infrastructure project in China and based on the comprehensive evaluation, comparison and ranking of the capital structures of urban public infrastructure projects using the interval number method, the final ranking can help investors to choose the optimal capital structure for investment. The calculation using the interval number method shows that X2 is the optimal capital structure plan for the BOT project of the first stage of Tianjin Binhai Rail Transit Z4 line. Therefore, investors should give priority to selecting a capital contribution ratio of 45 per cent for this investment.

In this paper, some parameters, such as depreciation life, construction period and concession period, are assumed to be deterministic parameters, although the interval number model has been introduced to analyze the uncertainty indicators, such as total investment and passenger flow, of BOT rail transport projects. Therefore, more of the above deterministic parameters can be taken as uncertainty parameters in future research so that calculation results fit actual projects more closely.

This model can be used to make the optimal investment decision for a project by determining the impact of uncertainty factors on the profitability of the project in its lifecycle during the project financial feasibility analysis. Project sponsors can determine the optimal capital structure of a project through an analysis of the irregular fluctuation of the unpredictable factors in project construction such as construction investment, operating cost and passenger flow. The model can also be used to examine the effects of different capital investment ratios on indicators so that appropriate measures can be taken to reduce risks and maximize profit.

Following social disorganization theory and the process-based model of policing, the present study aims to examine how characteristics of communities are meaningful in shaping citizens' willingness to work with the police in urban China.

Based on survey data from Shanghai, China, the study adopts a generalized hierarchical linear modeling (GHLM) approach to examine the effects of both individual- and neighborhood-level predictors on the outcome, while taking into consideration the unobserved additional neighborhood-level variations.

Results suggest potential need of the process-based model to be modified in a Chinese context in that while police presence matters, measures on legitimacy are nonsignificant in shaping willingness to help the police, after controlling for neighborhood characteristics. More importantly, collective efficacy at the neighborhood level is related positively to residents' willingness to work with the police. Constant attention should be paid to the promotion of a collaborative and collectively caring environment, which can contribute to better coordination with the police, and greater willingness to be part of the larger cause of public safety.

The paper advances the scholarship with multi-level modeling and the role of communities in building stronger relationship with the police.

The purpose of this paper is to develop a trading and pricing method of expansion option (EO) model to solve expansion problems of build-operate-transfer (BOT) freeway project.

This paper proposes an ex ante mechanism through trading the EO to avoid the transaction costs. By editing the paths generated from binomial option pricing model, this paper establishes an American real option binomial lattice model and evaluates the value of EO. Data are collected from Liaoning province in China and the model is practiced in the context of a BOT freeway in Liaoning province.

Supported by empirical evidence, this study finds out that there exists a minimum price at which the government can sell the EO and a maximum price that the private sector is willing to pay. When the minimum price is negative, the government should transfer the EO to the private sector free of charge to avoid the transaction costs. Otherwise, the government should sell the EO at a reasonable price to protect public interests.

The study can be used for the government to reducing the transaction costs. By using the trading EO model, the government can sell its share of the EO to the private sector to manage its resources efficiently.

This paper builds a trading EO model to solve expansion problems instead of renegotiations. In addition to reducing the transaction costs for the whole society, trading EO can also raise the respective payoffs of both public and private sectors. An EO trading framework and algorithm is further developed. It realized an American option model, making the owner can exercise the option whenever he wants. Thus, the whole model is adapted to best fit BOT highway practice.

This paper aims to analyze the corrosion and corrosion inhibition of N80 in 10 per cent HCl + 8 per cent fluoroboric acid (HBF₄) solution for acidizing operation.

The corrosion rate, kinetic parameters (Ea, A) and thermodynamic parameters (ΔH, ΔS) of N80 steel in fresh acid and spent acid, 10 per cent HCl + 8 per cent HBF₄, 10 per cent HCl and 8 per cent HBF₄ solutions were calculated through immersion tests. The corrosion and inhibition properties were studied through X-ray diffraction and electrochemical measurements. The corrosion morphology of the corrosion product was examined by scanning electron microscopy (SEM).

The results demonstrated that the spent acid was the main cause of acidification corrosion, and the HBF₄ would cause serious corrosion to N80 steel. The results showed that the N80 steel was more seriously corroded in the spent acid than in fresh acid, and the hydrolysis of HBF₄ accelerates the dissolution process of N80 steel anode to control the corrosion reaction. The results showed that the acidification will definitely cause serious corrosion to the oil tube; therefore, necessary anti-corrosion measures must be taken in the acidification process.

The results showed that acidizing the formation with 10 per cent HCl + 8 per cent HBF₄ will definitely cause serious corrosion to the oil tube, especially when the spent acid flows back. Therefore, necessary anti-corrosion measures must be taken in the acidification process, especially in the spent acid flowback stage.

City investment companies (CICs) in China, set up and funded by the government, are playing an important role in the construction of urban infrastructure in China. The purpose of this paper is to analyze the structural risk of diversified project financing of CICs and explore its key influencing factors.

The best worst method (BWM) is used in this study to empirically analyze and quantitatively study the optimization of the structural risk of diversified financing of CICs.

In this study, the structural risk of diversified financing of CICs has been clearly defined, and its key evaluation indexes, including the structure of projects, the structure of financing, asset-liability ratio, earnings before interest and tax margin, the rate of return on capital and the ratio of long-term debt and short-term debt, have been determined. What is more, a comprehensive evaluation system of the structural risk of diversified financing has been established.

This study has established a comprehensive evaluation system of the structural risk of diversified financing. Based on the validated systematic evaluation, comparison and ranking of the structural risk of diversified financing of CICs by using the BWM, the ranking results can help investors to select the CICs with small structural risk of diversified financing to invest.

This paper aims to explore the influence of founder shareholders’ resources on the allocation of control rights from the perspective of incomplete contract theory and resource-based theory.

This paper analyzes newspaper materials with NVivo11on a case of battle for corporate control in Chinese top-listed company-Vanke Group.

The research shows that human capital is the key resource and the holding proportion of financial resources directly affects the allocation of control rights. At the same time, social capital is unstable and easily broken. At last, institutional environment also affects the degree between the relationship of founder shareholders’ resources and the allocation of control rights. The influence of founder-shareholder resources on the allocation of control rights follows the path of “crisis – founder-shareholder’s resources – founder’s ability - allocation of control rights.”

This study only selects the financial capital, human capital and social capital of Shi Wang, the founder of Vanke, as the analysis object. The study can expand the types of founder shareholder resources to verify and enrich the conclusions.

The current theoretical research in the literature focuses on the necessity of equity and shareholder’s resources versus the control rights. Some key factors and mechanism on the relationship have not been fully clarified. The results of this paper not only extend the combination research of social network and corporate governance, but also provide enterprise founders with references for making reasonable decisions during control battle.

This study aims to analyze those factors affecting the rural resident’s willingness to adopt solar photovoltaic (PV) which is important for accelerating the popularization of clean energy in China.

This study contained a sample of 653 households in 8 provinces/regions by stratified, and random sampling in rural China. Descriptive analysis, exploratory factor analysis and confirmatory factor analysis techniques have been used for analytical purposes.

The empirical results indicate that financial incentive and social interaction have positive effects on rural residents’ adoption willingness, while village leaders’ engagement can indirectly influence their adoption willingness through social interaction and residents’ cognition.

This study mainly considers external and internal factors but ignores the effect of technical factors. In addition, the samples are just selected from the residents who have adopted solar PV.

This study is expected to be useful for the government, regulators, village leaders, village leaders and other institutions.

This study conducts a systematic analysis and clarifies the relationship between factors (external and internal) and rural residents’ adoption willingness. The village leaders’ engagement is first added to the conceptual model as an external factor, which is very essential in rural residents’ adoption in China.