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The purpose of this paper is to explain the determination of China's agricultural foreign trade pattern since the World Trade Organization (WTO) accession.

The neoclassical trade theory indicates that differences in both technology levels and factor endowments can explain the international trade pattern. In terms of a neoclassical framework based on the restricted profit function, this paper employs the province‐level panel data to investigate whether China's agricultural foreign trade pattern is consistent with the neoclassical explanation.

The findings indicate that China's agricultural foreign trade pattern is evidently characterized by regional specific features. In the eastern region, agricultural foreign trade pattern is jointly determined by differences in technology levels and factor endowments. Agricultural foreign trade patterns are driven in the central and western regions by land and capital endowments, respectively. The findings also imply that the utilization of comparative advantage in China's agriculture needs to be exploited further.

As far as the author knows, this paper is the first to apply the neoclassical framework based on the restricted profit function and employ the province‐level panel data to investigate the determination of China's agricultural foreign trade pattern.

The purpose of this paper is to present a novel non-contact method of using head movement to control software without the need for wearable devices.

A webcam and software are used to track head position. When the head is moved through a virtual target, a keystroke is simulated. The system was assessed by participants with impaired mobility using Sensory Software’s Grid 2 software as a test platform.

The target user group could effectively use this system to interact with switchable software.

Physical head switches could be replaced with virtual devices, reducing fatigue and dissatisfaction.

Using a webcam to control software using head gestures where the participant does not have to wear any specialised technology or a marker. This system is shown to be of benefit to motor impaired participants for operating switchable software.

The purpose of this paper is to present a novel structure of 4H‐SiC bipolar junction transistor (BJT) to realize high current gain, high current gain stability, and high breakdown voltage.

A novel structure of 4H‐SiC BJT with floating buried layer in the base epilayer is presented. The simulation and optimization are done using the TCAD tool.

This novel structure is increasing the current gain effectively, at the same time, the current gain stability and breakdown voltage are higher comparing with the conventional structure.

The paper proposes a new “4H‐SiC FBL‐BJT” with high current gain, high current gain stability and high breakdown voltage.

The particle damper is an efficient vibration control device and is widely used in engineering projects; however, the performance of such a system is very complicated and highly nonlinear. The purpose of this paper is to accurately simulate the particle damper system properly, and help to understand the underlying physical mechanics.

A high-fidelity simulation process is well established to account for all significant interactions among the particles and with the host structure system, including sliding friction, gravitational forces, and oblique impacts, based on the modified discrete element method. In this process, a suitable particle damper system is modeled, reaction forces between particle aggregates and the primary structure are incorporated, a reasonable contact force model and time step are determined, and an efficient contact detection algorithm is adopted.

The numerical results are further validated by both special computational tests and shaking table tests, with good agreements to the experimental results. The method is shown to be effective and accurate to simulate the particle damper system.

The approaches described in this paper provide an efficient numerical way to investigate complex particle damper systems.

The relation between metal corrosion behavior and double-layer capacity remains unclear. This study aims to put forward a novel method to measure double-layer capacity.

A novel model based on generalized Frumkin–Butler–Volmer equation was put forward. Combining this model with potentiodynamic polarization test and electrochemical impedance spectroscopy, the structure of double-layer capacity can be characterized.

This study found that the corrosion rate of iron increased with NaCl solution concentration and temperature at the experimental range, but an essential difference existed. The capacity of the diffuse layer and Stern layer increased with temperature and decreased with NaCl solution concentration. The ratio of diffuse layer capacity and Stern layer capacity influences the corrosion rate directly, which can be regarded as one of the judging criteria for corrosion resistance of metal materials.

The convenient means of double-layer structure characterization is still blank. With this method, the corrosion behavior of metal materials can be further analyzed, especially in high-temperature and pressure environments.

Hazard assessment on drought disaster is of great significance for improving drought risk management. Due to the complexity and uncertainty of the drought disaster, the index values have some grey multi-source heterogeneous characteristics. The purpose of this paper is to construct a grey projection incidence model (GPIM) to evaluate the hazard of the drought disaster characterised by the grey heterogeneity information.

First, the index system of the drought hazard risk is established based on the formation mechanism of the drought disaster. Then, the GPIM for the heterogeneous panel data is constructed to assess drought hazard of five cities in Henan Province. Subsequently, based on the assessment results, the grey clustering model is employed for the regional division.

The findings demonstrate that five cities in central Henan Province are divided into three categories, which correspond to three different risk grades, respectively. With respect to different drought risk areas, corresponding countermeasures and suggestions are proposed.

This paper provides a practical and effective new method for the hazard assessment on drought disaster. Meanwhile, these countermeasures and suggestions can help policy makers to improve the efficiency of drought resistance work and reduce the losses caused by drought disasters in Henan Province.

This paper proposes a new GPIM which resolves the assessment problems of the uncertain systems with grey heterogeneous information, such as real numbers, interval grey numbers and three-parameter interval grey numbers. It not only expands the application scope of the grey incidence model, but also enriches the research of panel data.

Spatial integration and industrial clustering have become an important feature of the culture tourism business. When the core elements in both the culture industry and tourism industry are integrated, a model based on system science is constructed that combines the resources and capacity of the two entities to envisage the ways of creating integrated products and services from the two sectors. Guided by the system science, this study proposes a culture tourism system revealing the clustering and hierarchical structure of the industrial elements. The system contains two subsystems: internal system and external system. The agglomeration model of the system includes 26 indices and the PEF methods, which involved the Parallelogram Law, Entropy-weight Method, and Fuzzy Membership Function. Finally, this study deploys an empirical study involving all provincial territories (N=31) in mainland China. It analyzes the variability and degree of balanced development of the system. In addition, through the resultant data this research adds a typology of culture tourism system along with policy recommendations.

College students' employment is a significant problem in the process of China's economic development. Owing to the comprehensive effect, entrepreneurship has become the important way to solve the problem of university students' employment. The purpose of this paper is to analyze systematically the main difficulties of university students' entrepreneurship in China and present corresponding policy recommendations.

This paper takes the conceptual analysis approach. Referring to the Nyawali and Fogel model of 1994, the paper constructs the key‐determinant model of China's university students' entrepreneurship and analyzes and explains the situation by adopting existing statistics and survey data about China's university students' entrepreneurship.

After the global financial crisis, encouraging university graduates' entrepreneurship to create more employment opportunities has become the key strategy to deal with employment problems for China's government. This paper finds that, although the university students have some advantages, there are still several difficulties for university graduates' entrepreneurship. Effective countermeasures must be taken to strengthen the entrepreneurship capacity by enhancing entrepreneurship education, increasing entrepreneurship opportunities by improving the entrepreneurship environment and raising the entrepreneurship desire by perfecting financing system and then encouraging university graduates to start up businesses actively, so that more college students could become entrepreneurs.

This paper systematically constructs the key‐determinant model of China's university students' entrepreneurship. The policy recommendations for college students' entrepreneurship presented in this paper might be referred to by government to make decisions to improve university students' entrepreneurship support policy and enhance university students' entrepreneurship ability.

The purpose of this paper is to analyze the reliability and validity of doctoral candidates’ innovative personality model.

Based on doctoral candidates’ innovative personality model, this study took the best correlation and the worst correlation into account to predict and demonstrate their innovative ability tendencies. Matlab R2016a, a program of software programming, was used to calculate the contribution degree of each personality factor of doctoral candidates to their innovative ability tendencies.

The reliability and validity of doctoral candidates’ innovative personality model based on grey target theory have been verified, and the prediction for doctoral candidates’ innovative ability tendencies can be realized on the basis of this model.

Scientific and reasonable doctoral candidates’ innovative personality model can play a good guiding role, and its research results have certain practical significance for selecting innovative doctoral candidates, ensuring the training quality of doctoral candidates and cultivating the innovative ability of doctoral candidates. It can be promoted and applied on the basis of its trial operation in Jiangsu.

With regard to the relative degree of the influence of doctoral candidates’ individual personality factors, previous researchers seldom carried out the quantitative research. In this paper, the author sought a quantitative method to describe the degree of such influence and constructed the doctoral candidates’ innovative personality model based on grey target decision making. This study took the positive and negative off-target distance into account and demonstrated the rationality and validity of doctoral candidates’ innovative personality model.