Search results

This paper presents the application of grey modeling for thermal spray processing parameter analysis in less data environment.

Based on processing knowledge, key processing parameters of thermal spray process are analyzed and preselected. Then, linear and non-linear grey modeling models are integrated to mine the relationships between different processing parameters.

Model A reveals the linear correlation between the HVOF process parameters and the characterization of particle in-flight with average relative errors of 9.230 percent and 5.483 percent for velocity and temperature.

The prediction accuracies of coatings properties vary, which means that there exists more complex non-linear relationship between the identified input parameters and coating results, or more unexpected factors (e.g. factors from material side) should be further investigated.

According to the modeling case in this paper, method has potential to deal with other diverse modeling problems in different industrial applications where challenge to collecting large quantity of data sets exists.

It is the first time to apply grey modeling for thermal spray processing where complicated relationships among processing parameters exist. The modeling results show reasonable results to experiment and existing processing knowledge.

The purpose of this paper is to study the application ways of extended reality (XR) in teaching, the specific teaching effects and how to implement teaching integration.

The study adopts an umbrella review approach, locates and screens 20 pertinent meta-analysis studies published in international journals and conducts a systematic review of the effects of teaching applications of XR technologies in terms of subject categories, education levels and teaching cycles.

The study finds that the effects of virtual reality and augmented reality technologies on teaching effectiveness can reach up to 0.723 and 0.951, indicating that XR technologies can improve teaching.

Through the systematic analysis of 20 related element analysis studies published in international journals, the specific methods and effects of XR technology applied to teaching are finally obtained and put forward the new application trend of XR promoting teaching effect.

In the past decade, more and more research has also focused on the specific methods and effects of XR technology applied to teaching. However, there are still problems such as unclear technology application path and unclear effect. Based on this, it is necessary to further conduct an overall overview and analysis of the impact of XR technology on teaching effect when it is integrated into teaching, systematically study the teaching effect of XR technology in different education levels and subject types and provide a theoretical basis for more detailed research on XR technology integration into teaching.

This paper aims to explore the adsorption kinetics of syringin from Syringa oblata Lindl. leaves on macroporous resin and develop an efficient, simple and recyclable technology for the separation and purification of syringin.

Static adsorption and desorption properties of six resins were tested to select a suitable resin for the purification of syringin. Langmuir and Freundlich isotherm models were used to estimate the adsorption behavior of syringin on AB-8 resin. Breakthrough point and eluent volume were determined by dynamic adsorption and desorption tests. High-performance liquid chromatography-electrospray ionization-mass spectrometry was applied to identify the syringin in the purified product [syringin product (SP)]. Antioxidant and antibacterial activities of SP in vitro were evaluated by free radical scavenging ability and biofilm formation inhibitory tests.

AB-8 exhibited the most suitable adsorption and desorption capacity. Adsorption isotherm parameters indicated favorable adsorption between AB-8 and syringin. The optimal results were as follows: for adsorption, the sample concentration was 1.85 mg/mL, the sample volume was 3.5 bed volume (BV), the flow rate was 0.5 mL/min; for desorption, the ethanol concentration was 70%, the elution volume was 2.5 BV, the elution velocity was 1.0 mL/min. SP with 80.28% syringin displayed the potent antioxidant activities and inhibitory effects on biofilm formation of Streptococcus suis.

To the best of authors’ knowledge, there are no reports on purifying syringin from Syringa oblata Lindl. leaves using macroporous resins. This paper may also provide a theoretical reference for the purification of other phenylpropanoid glucosides.

As transition countries shift to a mixed welfare system, the accountability of non-government organizations (NGOs) becomes critical to quality services. Yet, poor financial and managerial practices of some NGOs in China have led to distrust from citizens. The purpose of this paper is to use a democratic accountability framework to examine citizen participation in NGOs as an approach to understand an angle of this distrust. Does the Chinese language academic literature about NGO accountability engage with concepts of participation in NGO governance, management and service use?

The method was content analysis of a search of words and concepts relating to NGOs, participation and accountability in the available Chinese language literature on NGO accountability through the newly developed search engine Wenjin Search of the National Library of China.

The analysis found that most Chinese literature only emphasizes problems of accountability, causes and regulatory solutions. When the literature includes participation, it refers to it as a platform for civil society, rather than a process of accountability within an NGO.

Searching by keywords in one search engine may not be exhaustive. The results probably reflect most of the current research of Chinese scholars, considering the depth of the search engine.

Formal NGOs are relatively new in the Chinese political landscape; and government regulations are largely administrative and unenforced. At conceptual and political levels, the absence of discussion about other forms of accountability ignores questions about public dissatisfaction with NGO performance and the public’s willingness to contribute to NGO effectiveness, and civic engagement.

An implication is that until Chinese NGO research also incorporates democratic accountability concepts, it will continue to ignore the internal and external drivers from citizens for NGO change. Transition country NGOs that encourage participation have the potential to engender greater accountability in the organization, community and in state relations.

The purpose of this paper is to propose a smart spare parts inventory management system for a semiconductor manufacturing company.

With the development of the Internet of Things and big data analytics, more information can be obtained and shared between fabs and suppliers.

On the basis of the characteristics of spare parts, the authors classify the spare parts into two types, the consumable and contingent parts, and manage them through a cyber-physical inventory management system.

In this new business model, the real time information from machines, shop floors, spare parts database and suppliers are used to make better decisions and establish transparency and flexibility between fabs and suppliers.

This study aims to answer two questions: (a) what obstacles and opportunities do Chinese female entrepreneurs face when doing business? And (b) how do they negotiate their entrepreneurial careers and gender identities in different gender-segregated markets?

This study uses qualitative research methods of participant observation and in-depth interviews with 41 female entrepreneurs in China and the theoretical lenses of gender role theory and doing gender in entrepreneurship.

The study findings reveal that Chinese female entrepreneurs face different obstacles and opportunities in gender-segregated industries. Their experiences vary in industries that are mainly occupied by males and females. On the one hand, women in female-dominated industries may be supported by a feminine working environment that is coherent with their domestic roles. However, they may also be questioned on the cultural impurity implied in some industries, which harms their class-based feminine virtue. On the other hand, women in male-dominated industries may be challenged and marginalized due to their gender. However, some find ways to turn the disadvantaged feminine characters into favourable conditions and break out of the stereotypical gender constraints in doing business.

This study contributes to the literature on gender and entrepreneurship in general. More specifically, it contributes to the study of doing gender in gender-segregated markets, and it also illustrates women’s gendered opportunities and constraints in Chinese society that are affected by the long-lasting traditional gender norms.

The purpose of this paper is to propose a conceptual model to investigate the determinants of information retweeting in microblogging based on Heuristic‐Systematic Model.

Microblogging data about emergency events from Sina microblogging (http://weibo.com) are collected and analyzed with text mining technology. The proposed hypotheses are tested with logistic and multiple linear regressions.

The results show that source trustworthiness, source expertise, source attractiveness, and the number of multimedia have significant effects on the information retweeting. In addition, source expertise moderates the effects of user trustworthiness and content objectivity on the information retweeting in microblogging.

This study provides an in‐depth understanding of what makes information about emergency events in microblogging diffuse so rapidly. Based on these findings the emergency management organizations in China can apply the microblogging to spread useful information, and these findings also provide practical implications for microblogging system designers.

The primary value of this paper lies in providing a better understanding of information retweeting in microblogging based on Heuristic‐Systematic Model. Organizations that would like to adopt the microblogging platform in emergency situations to improve the ability of emergency response can benefit from the findings of this study.

The purpose of this paper is to improve forecasting accuracy for short‐term load series.

A forecasting method based on chaotic time series and optimal diagonal recurrent neural networks (DRNN) is presented. The input of the DRNN is determined by the embedding dimension of the reconstructed phase space, and adaptive dynamic back propagation (DBP) algorithm is used to train the network. The connection weights of the DRNN are optimized via modified genetic algorithms, and the best results of optimization are regarded as initial weights for the network. The new method is applied to predict the actual short‐term load according to its chaotic characteristics, and the forecasting results also validate the feasibility.

For the chaos time series, the hybrid neural genetic method based on phase space reconstruction can carry out the short‐term prediction with the higher accuracy.

The proposed method is not suited to medium and long‐term load forecasting.

The accuracy of the load forecasting is important to the economic and secure operation of power systems; also, the neural genetic method can improve forecasting accuracy.

This paper will help overcome the defects of traditional neural network and make short‐term load forecasting more accurate and fast.

This paper aims to use a negative perspective to investigate the effects of perceived deceptiveness and pressure on consumer donation and their underlying mechanisms in the context of asking for donations.

Study 1 used a qualitative approach to clarify the categories and dimensions of the research variables and explore their relationships. Study 2 empirically tested the hypotheses by combining a fictitious context and a real context related to asking for donations.

In the qualitative study, the data provided sufficient evidence to support the relationships in the theoretical model. The results of the empirical study showed that perceived deceptiveness negatively influences consumer donation, while perceived pressure positively affects donation amount. Notably, the discomfort of potential donors plays an important role in mediating these relationships.

This paper suggests a way for charities to raise more money, i.e. by cooperating with companies with good reputations, limited scandals and transparent supervisory mechanisms. Meanwhile, solicitors should pay attention to the adverse effects of discomfort to avoid generating resentment among consumers.

First, to the best of the authors’ knowledge, this is the first study to use a negative perspective to examine the effects of perceived deceptiveness and pressure on consumer donation. Second, the use of cognitive dissonance theory to highlight the role of discomfort represents a novel contribution to the literature. Third, using a mixed-methods approach to achieve a robust conclusion provides valuable insights and extends the existing literature.