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With the rapid development of materials informatics and the Semantic Web, the semantic-driven solution has emerged to improve traditional query technology, which is hard to discover implicit knowledge from materials data. However, it is a nontrivial thing for materials scientists to construct a semantic query, and the query results are usually presented in RDF/XML format which is not convenient for users to understand. This paper aims to propose an approach to construct semantic query and visualize the query results for metallic materials domain.

The authors design a query builder to generate SPARQL query statements automatically based on domain ontology and query conditions inputted by users. Moreover, a semantic visualization model is defined based on the materials science tetrahedron to support the visualization of query results in an intuitive, dynamic and interactive way.

Based on the Semantic Web technology, the authors design an automatic semantic query builder to help domain experts write the normative semantic query statements quickly and simply, as well as a prototype (named MatViz) is developed to visually show query results, which could help experts discover implicit knowledge from materials data. Moreover, the experiments demonstrate that the proposed system in this paper can rapidly and effectively return visualized query results over the metallic materials data set.

This paper mainly discusses an approach to support semantic query and visualization of metallic materials data. The implementation of MatViz will be a meaningful work for the research of metal materials data integration.

The current paper's goal is to examine the productivity of the closed banking sector evidenced from Ethiopia. In addition, the inclusion of intangibles on productivity was examined in the current paper.

First, the standard Malmquist Productivity Index (MPI) was employed for 13 commercial banks for both stages. Second, by excluding the state-owned commercial bank, the analysis employed a bootstrapped MPI for the robust and comprehensive conclusion. Furthermore, from 2010 to 2019, the fixed effect Ordinary Least Square (OLS) regression with balanced panel data was used.

The standard MPI in both stages shows that the productivity of Ethiopian commercial banks is declining. The technological shock was the main reason for the loss. The catch-up in both stages scored above unity, mainly due to the pure efficiency change. Besides, when combined with tangible resources, the inclusion of resource-based view (RBV) proxy variables reduces technological shock regress and ultimately improves productivity change. The bootstrapped MPI also reveals that technological shock is the primary source of the productivity decline. However, efficiency change also contributes to the productivity decline based on this estimation.

Future research could examine the more extensive productivity analysis by considering the primary sources of data collections for resource-based variables.

According to the study's results, banking regulatory authorities and bank management, including the shareholders, should continue to invest in cutting-edge technology to improve the productivity of the banking sector.

This is the first comprehensive study of productivity for Ethiopian commercial banks based on the standard MPI, bootstrapped MPI, and OLS by incorporating all resources into the analysis.

The purpose of this study is to see how the economy-wide spillover effect affects company process innovation.

To account for national differences, the current study used a hierarchical model.

The findings of this study show that knowledge spillover is related to and influences the innovation process of businesses. Only a level two study that takes into account country-specific differences may reveal this. The current work uses a hierarchical model to try to capture knowledge spillover. Furthermore, the findings suggest that medium and large businesses, as well as businesses conducting research and development (R&D), are more inventive than small businesses and firms not conducting R&D. Furthermore, female-owned businesses are more likely than their male counterparts to innovate their processes.

This study is unique in that it makes predictions about how businesses innovate (behave) based on firm-level characteristics, or macroeconomic structure, without sacrificing information and variance. Furthermore, this study attempts to solve the difficulty of prior empirical research’s single-level analysis and cross-level inference. The research is based on data from the 2019 World Bank regular Enterprise Survey, which includes 18,148 businesses from 38 countries.

Can Chinese social media data (SMD) be used as an alternative to traditional surveys used to understand tourists' visitation of attractions in Chinese cities? The purpose of this paper is to explore this question.

Popular tourism SMD sources in China, such as Ctrip, Weibo and Dazhong Dianping (DZDP), were used as data source, and the relationships between these sources and traditional data sources were studied with statistical methods. Data from Shanghai were used in this study since it is rich in tourism resources and developed in information.

A systematic research method was followed and led to the following conclusions: There were positive correlations for attraction visitation between Chinese SMD and traditional survey data; Chinese SMD source could temporally indicate visits to Shanghai tourist attractions; Ctrip SMD generally performed less well than Weibo or DZDP, and different SMD performed differently depending on the specific attractions and time units in the visitation calculation process; and factors including visitation, distance from the city center and the grade of attractions might affect the prediction performance based on data from the SMD. The findings suggest that Chinese SMD could be used as a cost-efficient and reliable proxy for traditional survey data to predict Chinese attraction visitation.

This study applies and improves the methods of SMD reliability in attraction use studies, supplies the gap for premise, basis and foundation for the large amounts of tourism researches using SMD in China and could promote and inspire more efficient and advanced measures in tourism management and urban development.

Accurately evaluating fluid flow behaviors and determining permeability for deforming porous media is time-consuming and remains challenging. This paper aims to propose a novel machine-learning method for the rapid estimation of permeability of porous media at different deformation stages constrained by hydro-mechanical coupling analysis.

A convolutional neural network (CNN) is proposed in this paper, which is guided by the results of finite element coupling analysis of equilibrium equation for mechanical deformation and Boltzmann equation for fluid dynamics during the hydro-mechanical coupling process [denoted as Finite element lattice Boltzmann model (FELBM) in this paper]. The FELBM ensures the Lattice Boltzmann analysis of coupled fluid flow with an unstructured mesh, which varies with the corresponding nodal displacement resulting from mechanical deformation. It provides reliable label data for permeability estimation at different stages using CNN.

The proposed CNN can rapidly and accurately estimate the permeability of deformable porous media, significantly reducing processing time. The application studies demonstrate high accuracy in predicting the permeability of deformable porous media for both the test and validation sets. The corresponding correlation coefficients (R²) is 0.93 for the validation set, and the R² for the test set A and test set B are 0.93 and 0.94, respectively.

This study proposes an innovative approach with the CNN to rapidly estimate permeability in porous media under dynamic deformations, guided by FELBM coupling analysis. The fast and accurate performance of CNN underscores its promising potential for future applications.

In an attempt to satisfy the desire to become a global economic leader, China is working on a series of ambitious deals with several countries. As a major country in a region considered as an emerging market, the immense infrastructure gap that is curtailing trade and accessibility for economic growth has led to major changes in economic policy. The past few decades have seen China invest billions of dollars not only in the developing countries of Africa and Asia but also in other world economic giants of Europe and the USA. China has embarked on a rigorous global effort to close the infrastructure gap through the Belt and Road Initiative (BRI) in partnership with multilateral development banks. China’s BRI brings together several countries in East Asia and the Eurasian mainland into close proximity with China, thereby promoting inland trade between the countries. The investments in this project are estimated to reach US$1tn over a span of ten years. However, the volume of outward foreign direct investments (OFDI) from China to the host countries is determined by several factors. Several previous researchers have studied various issues affecting the business activities of China and the given countries. First, the cultural organization, policy approaches and objectives of China as a country create trade barriers with countries involved in the BRI plan. This paper aims to provide a comparative overview of how the institutional distance of the Belt and Road countries from China affects their sustainable development.

Data on the nature, success and challenges of the BRI (such as the volume of bilateral trade and OFDIs and its financial implications) were extracted from various published studies. The impact of cultural distance and internationalization of the BRI enterprise was analyzed through a comparative research methodology.

A significant relationship exists between institutional distance and sustainable development of the Belt and Road countries. However, the barriers – for example, inhospitable culture and regulations for organizations in participating countries – could become pillars of success once resolved.

Previous studies lacked a standard framework to investigate how institutional distance is related to China’s outbound trade with the Belt and Road countries. The comparative analysis methodology adopted in this study fills this gap.

To present dynamical analysis of axisymmetric and three‐dimensional (3D) simulations of a nuclear fluidized bed reactor. Also to determine the root cause of reactor power fluctuations.

We have used a coupled neutron radiation (in full phase space) and high resolution multiphase gas‐solid Eulerian‐Eulerian model.

The reactor can take over 5 min after start up to establish a quasi‐steady‐state and the mechanism for the long term oscillations of power have been established as a heat loss/generation mechanism. There is a clear need to parameterize the temperature of the reactor and, therefore, its power output for a given fissile mass or reactivity. The fission‐power fluctuates by an order of magnitude with a frequency of 0.5‐2 Hz. However, the thermal power output from gases is fairly steady.

The applications demonstrate that a simple surrogate of a complex model of a nuclear fluidised bed can have a predictive ability and has similar statistics to the more complex model.

This work can be used to analyze chaotic systems and also how the power is sensitive to fluctuations in key regions of the reactor.

The work presents the first 3D model of a nuclear fluidised bed reactor and demonstrates the value of numerical methods for modelling new and existing nuclear reactors.

The purpose of this paper is to present a computational fluid dynamic simulation for the investigation of the particles segregation phenomenon in the gas–solid fluidized beds.

These particles have the same size and different densities. The k–ε model and multiphase particle-in-cell method have been utilized for modeling the turbulent fluid flow and solid particles behaviors, respectively. The coupled equations of the velocity and pressure have been solved by using a combination of SIMPLE and PISO algorithms. After validating the simulation, different mixing indices, with different calculation bases, have been investigated, and it has been found that the Lacey mixing index, which was defined based on statistical concepts, is suitable to investigate the segregation/mixing phenomena of this bed in different conditions. Finally, the effects of parameters such as velocity, particle density ratio, jetsam concentration, and initial arrangement on the segregation/mixing behaviors of the bed have been studied.

The results show that the increase in the superficial gas velocity decreases the mixing index to a minimum value and then increases this index in the beds with mixed initial condition, unlike the beds with separated initial condition. Moreover, an increase in the particle density ratio increases the minimum fluidization velocity of the bed, and also the amount of segregation, and increase in the jetsam concentration increases the value of the mixing index.

A computational fluid dynamics simulation has been presented for the particles segregation phenomenon in the gas–solid fluidized beds.

The purpose of this paper is to investigate the influence of religious entrepreneurs on bank loans and further examine the moderating effect of entrepreneurial gender.

In 2010, the Chinese national survey reported the different religious beliefs of private entrepreneurs. Using this set of survey data, the authors obtain a sample of 4,330 Chinese family firms and employ the Tobit regression approach to examine the relationship between the amount of bank loans and the religious background of entrepreneurs. In addition, the authors use the propensity score matching approach to address the endogeneity issue.

Based on the data from the 2010 national survey, the authors document that the amount of bank loans is significantly higher for Chinese family firms with religious entrepreneurs than for their counterparts. This finding suggests that religious individuals are inclined to be more ethical and honest and Chinese family firms with religious entrepreneurs transfer soft information to banks, and eventually lenders favor religious entrepreneurs with more bank loans. Moreover, the authors reveal that the amount of bank loans is significantly larger for firms with female entrepreneurs than for those without female entrepreneurs. In addition, entrepreneurial gender attenuates the positive relationship between religious entrepreneurs and bank loans.

This study is one of few studies to examine the influence of an entrepreneur’s religious belief on bank credit decisions and adds to previous studies about religious influence on corporate behavior by revealing a positive association between religious entrepreneurs and bank loans. Moreover, this study validates that female entrepreneurs exert positive effects on the amount of bank loans and attenuate the positive influence of religious entrepreneurs on bank loans.

This paper aims to explore cross-cultural differences in perceived ethicality of negotiation strategies among China, Taiwan and Canada by examining five categories of strategies often used in business negotiations.

This paper uses a survey method to investigate a group of over 600 business students’ opinions on the ethicality of a variety of negotiation strategies often used during the bargaining process.

The results show that the Chinese both from the mainland and from Taiwan consider it more appropriate to use ethically questionable negotiation strategies than Canadians. In addition, significant gender differences are found for Canadians, in that male Canadians are more likely to consider it appropriate to use ethically questionable strategies in all five categories than females, while no gender differences are found for mainland Chinese in all but one category, with a moderate level of gender differences found for the Taiwanese.

The findings of this paper help explain why there are different understandings toward what is ethical and what is not in negotiations, which can be used to better equip practitioners to accurately label and understand negotiation strategies they may otherwise deem unethical. A better understanding of cross-cultural differences in business ethics can also help practitioners avoid the feelings of anger and mistrust toward their opponents and thus avoid using tactics that might incite more anger and hatred from the other party.

This paper contributes to the cross-cultural literature on ethical attitudes and behaviors and helps us better understand cross-cultural differences in business ethics in a negotiation context. This paper narrows this gap by empirically validating some of the Western findings in China and Taiwan. The results also provide support for a set of commonly accepted strategies to be used in business negotiation.