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The aim of this paper is to illustrate how scholars may adopt a multi‐method – not just multidisciplinary – approach on research on conflict management. Taking the Diaoyu Islands as a case, the author draws on literature from management, political sciences, war, military studies, history, etymology and culture. In the process, the author deepens, enriches and expands the Thomas‐Kilman (T‐K) model for mapping out possible solutions in resolving conflicts: not just between people at workplaces but for between states as well. For instance, the author explains why the Diaoyu Islands conflict, if not amicably resolved may well lead to obliteration (integrated as part of the model) in resolving the conflict via a nuclear outbreak. Third World War may just be sparked off with Russia aligned with China against Japan and the USA.

Of all the issues in management, conflict management is the most culturally embedded. Through a multi‐method approach, the author illuminates the complexity of the Diaoyu Islands case. Literature from past empirical war studies are reviewed to suggest the geography of the islands (proximity, borderless, richness of resources) makes war highly probable. Past Chinese‐Japanese hatred (utilizing visual imagery), antagonism and guanxi are reviewed in exploring their impacts on outcomes (see model). Etymological research is attempted using English, Japanese and Chinese words, characters and pictograms that are related to concepts within the T‐K model. To better grasp how young Chinese feel towards the Diaoyu Islands and the Japanese, the author conducted some field research in Harbin, China. The continuing Chinese angst against Japanese is explained through war imagery: there remains in young Chinese an unquenchable thirst for exacting revenge on the Japanese. In a search to uncover ways of resolving the dispute, a further, extended study is undertaken on ancient Chinese pictograms: for example, whether a 5,000 years old Chinese concept of compromise zhe zhong (Graphic 1; oracular bones) or splitting into halves may be relevant. The role of time in conflict management is discussed in relation to the Diaoyu Islands.

By providing the WWII visual imagery as a backdrop to Chinese‐Japanese antagonism, the author explains to readers why the Diaoyu Islands is such a complex case to resolve. Also in his fieldwork, he highlights that the younger Chinese are as equally indignant about Japanese unethical grabbing, “thieving” behaviour. In their minds, such behaviour harks back to the blatant seizure of Manchuria and Japanese puppetry of Manchukuo. Through the Diaoyu Islands case, the T‐K model and theory of conflict management is broadened, enriched and enhanced. The paper illustrates how in conflicts that involve cultures are very different from the West, for instance very ancient civilizations like China and India, authors should take a multi‐method approach and explore the issues and search for solutions far more deeply.

Very few scholars seek to integrate the two streams of research in resolving conflict as illustrated through this paper: management and social sciences (e.g. political sciences, military and war studies). Conflict is about people and therefore integral use of multi‐methods needs to be used.

The purpose of this paper is to understand the attitude of patients towards the current medical service price and the effect of policy implementation, and explore the existing problems of the current medical service price policy in the region in order to provide a research basis for the dynamic adjustment mechanism of the medical service price.

Literature analysis and expert interviews are used to design the questionnaire of the dynamic adjustment of medical service price formation mechanism. A convenient sampling method is used to extract data of 600 patients from the five areas, namely Beijing, Tianjin, Hebei, Shandong and Liaoning, on-site to fill out the paper-based questionnaire and electronic questionnaire. The grey relational analysis is used to explore the difference in the attitudes of patients towards the price of the medical service. Combined with the research results and expert interview results, some improvement suggestions related to the current price policy of medical service in five areas are put forward.

The overall average score of respondents in the five areas, namely Beijing, Tianjin, Hebei, Shandong and Liaoning, is found to be 3.861. In terms of surgical operation fee and examination fee, the average score is higher than 4, i.e. 4.097 and 4.011, respectively, indicating “relatively high” nodes. According to grey relevancy sorting, the correlation between the health service price attitude and the overall score in the five regions is in the following order: Shandong > Tianjin > Beijing > Liaoning > Hebei.

In this study, patients’ attitude towards the current price of medical services in their local areas, Beijing, Tianjin, Hebei, Shandong and Liaoning, is investigated in order to explore the existing problems of medical service price reform and thus provide the basis for further improvement in the medical service price policy.

The purpose of this paper is to explore the rationality differences of cognition of non-technical medical services in different groups, and to provide countermeasures for improving non-technical medical services.

Literature analysis, expert interviews, questionnaire survey and frequency analysis were taken to reveal the influencing factors of non-technical medical services. Grey correlation methods were taken to compare the rationality differences of cognition of non-technical medical services by analysis influencing factors’ scores marked by different groups.

A total of 12 influencing factors of non-technical medical services were obtained, including “doctor’s working career”, “doctor’s strict implementation of medical treatment norms and medication guidelines”, “doctor’s service awareness”, etc. And rationality differences of cognition of non-technical medical services were confirmed as follows: the doctors’ cognition was more reasonable compared with patients; the women’s cognition was more reasonable compared with men; the lower aged groups’ cognition was more reasonable compared with higher aged groups; and people with doctoral degree had a less reasonable cognition compared with others.

The authors systematically discussed the cognition differences of non-technical medical services among different people, and provided some countermeasures reasonably.

The purpose of this paper is to investigate the effect of pulsed magnetic field (PMF) with different duty cycles on the melt flow and heat transfer behaviors during direct-chill (DC) casting of large-size magnesium alloy billet and find the appropriate range of duty cycle.

A transient two-dimensional mathematical model coupled electromagnetic field, flow field and thermal field, is conducted to study the melt flow and temperature field under PMF and compared with that under the harmonic magnetic field.

The results reveal that melt vibration and fluctuation are generated due to the instantaneous impact of repeated thrust and pull effects of Lorentz force under PMF. The peak of Lorentz force decreases greatly with the increasing duty cycle, but the melt fluctuation region is expanded with higher duty cycle, which accelerates the interior melt velocity and reduces the temperature gradient at the liquid-solid interface. However, PMF with overly high duty cycle has adverse effect on the melt convection and limited influence on the interior melt. A duty cycle of 20% to 50% is a reasonable range.

This paper can provide guiding significance for the setting of duty cycle parameters on DC casting under PMF.

There are few reports on the effect of PMF parameters during DC casting with applying PMF, especially for duty cycle, a parameter unique to PMF. The findings will be helpful for applying the external field of PMF on DC casting.

In recent years, we have witnessed a surge in academic interest towards migrants and their entrepreneurial endeavours. This has resulted in valuable insights about immigrant, transnational, ethnic and diaspora entrepreneurship. By reviewing 158 articles published in the fields of migrant entrepreneurship, transnational entrepreneurship, ethnic and diaspora entrepreneurship over the last decade, the author maps the migrant entrepreneurship field according to the level of analysis and suggests potential avenues for the development of the field. Blurred boundaries between different streams of literature can potentially lead to duplication of efforts and harm cumulativity of knowledge. Therefore, the author summarises the key findings at each level of analysis, identifies the gaps and most pressing research questions. The author concluded that the field would benefit from (1) more specific definitions and assessment of whether observed findings stem from immigrant-, transnational-, ethnic- or diaspora-related factors; (2) appreciating the multilevel nature of the phenomenon; and (3) clarifying the boundary conditions. This review contributes to the accumulation of knowledge in two ways. First, it synthesises the findings in the fields of transnational, immigrant, ethnic and diaspora entrepreneurship under the framework of migrant entrepreneurship. Second, it suggests potential research directions across three levels of analysis and in-between those levels.

The purpose of this paper is to discretely model rockfill materials considering the irregular shape of the particles and their crushability. The scientific goal was to investigate the influence of particle crushability and shape on the mechanical behavior of rockfill materials.

The method of generating irregular-shaped particles was based on the observation that most rockfill grains can be approximately circumscribed by an ellipsoid. Two shape descriptors were used to make the virtual particles closely replicate the geometric features of natural rockfill grains. The combined finite-discrete element method (FDEM) was used to numerically simulate a drained, tri-axial compression test. The particle assemblies were subjected to tri-axial compression under strain controlled conditions while a constant confining pressure was maintained.

The non-breakable particles showed a remarkable ability to dilate as a result of a higher inter-particle locking effect. Dilation forces the particles to move from a lower potential energy state to a higher potential energy state, which causes the micro-structure to become less stable, resulting in a dramatic decline in the angle of friction from the peak state to the residual state. In addition, the elongated particles enhance the interlocking effect, but breakage is also more likely to occur. The net effect of those two mechanisms controls the overall shearing resistance of rockfill materials.

After calibration using a few micro-parameters, the combined FDEM was able to reproduce the typical behavior of rockfill materials without requiring a description of the complex relationship that exists between constituents; this relationship must be described in continuum mechanics. The simulation results showed that this approach is predictive. The combined FDEM also provides an opportunity for a quantitative study of the micro-structure of granular materials, and this study will help us to better understand the mechanical characteristics of rockfill materials.

The purpose of this paper is to reveal the solute segregation behavior in the molten and solidified regions during direct chill (DC) casting of a large-size magnesium alloy slab under no magnetic field (NMF), harmonic magnetic field (HMF), pulsed magnetic field (PMF) and two types of out-of-phase pulsed magnetic field (OPMF).

A 3-D multiphysical coupling mathematical model is used to evaluate the corresponding physical fields. The coupling issue is addressed using the method of separating step and result inheritance.

The results suggest that the solute deficiency tends to occur in the central part, while the solute-enriched area appears near the fillet in the molten and solidified regions. Applying magnetic field could greatly homogenize the solute field in the two-phase region. The variance of relative segregation level in the solidified cross-section under NMF is 38.1%, while it is 21.9%, 18.6%, 16.4% and 12.4% under OPMF2 (the current phase in the upper coil is ahead of the lower coil), HMF, PMF and OPMF1 (the current phase in the upper coil lags behind the lower coil), respectively, indicating that OPMF1 is more effective to reduce the macrosegregation level.

There are few reports on the solute segregation degree in rectangle slab under magnetic field, especially for magnesium alloy slab. This paper can act a reference to make clear the solute transport behavior and help reduce the macrosegregation level during DC casting.

This paper develops a robust hospital readmission prediction framework by combining the feature selection algorithm and machine learning (ML) classifiers. The improved feature selection is proposed by considering the uncertainty in patient's attributes that leads to the output variable.

First, data preprocessing is conducted which includes how raw data is managed. Second, the impactful features are selected through feature selection process. It started with calculating the relational grade of each patient towards readmission using grey relational analysis (GRA) and the grade is used as the target values for feature selection. Then, the influenced features are selected using the Least Absolute Shrinkage and Selection Operator (LASSO) method. This proposed method is termed as Grey-LASSO feature selection. The final task is the readmission prediction using ML classifiers.

The proposed method offered good performances with a minimum feature subset up to 54–65% discarded features. Multi-Layer Perceptron with Grey-LASSO gave the best performance.

The performance of Grey-LASSO is justified in two readmission datasets. Further research is required to examine the generalisability to other datasets.

In designing the feature selection algorithm, the selection on influenced input variables was based on the integration of GRA and LASSO. Specifically, GRA is a part of the grey system theory, which was employed to analyse the relation between systems under uncertain conditions. The LASSO approach was adopted due to its ability for sparse data representation.

The implementation of the innovation-driven development strategy is of practical significance for improving the quality and efficiency of economic growth and accelerating the transformation of economic development mode. The purpose of this paper is to study the impact of innovation-driven strategies on marine industry agglomeration and industrial transformation.

In traditional grey correlation analysis, when the positive and negative areas cancel each other out during the integration process, the calculation result of the correlation degree is often inconsistent with the qualitative analysis. For this reason, from the perspective of curve similarity, this paper constructs two response curves through the relative change area of the two curves and the relative area change ratio of similar degree, thus constructing an improved grey relational model.

The authors find that the innovation investment has a better correlation with marine industrial agglomeration. It also found that Guangdong Province has the highest degree of correlation between innovation indicators and marine industrial agglomeration. Much beyond the authors’ expectation, in the areas where marine industrial agglomeration is high, the synergistic effect is not obvious by using the location entropy method.

The improved grey correlation analysis method can effectively overcome the phenomenon that the positive and negative areas cancel each other in the integration process of the original algorithm, and it can also effectively measure the negative correlation between variables. This paper explores the impact of innovation drive on the agglomeration of marine industries, which is of great significance to the sustainable development of marine economy.