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This paper aimed to examine the role of knowledge sharing among member enterprises between collaborative innovation activities and innovation performance and between building information modeling (BIM) application and innovation performance in the construction supply chain.

The structural equation model was used in this study. First, the hypothesis of the relationship between collaborative innovation activities, BIM application, knowledge sharing and innovation performance in the construction supply chain was proposed based on experience; then, the research data were collected by investigation; finally, this hypothesis was tested through data analysis.

(1) Collaborative innovation activities in the construction supply chain had a positive impact on explicit knowledge sharing, tacit knowledge sharing and innovation performance. (2) BIM application had a positive impact on explicit knowledge sharing and innovation performance, while it had no significant impact on tacit knowledge sharing. (3) Explicit knowledge sharing had no positive effect on innovation performance, while tacit knowledge sharing had positive effect on organizational performance. (4) Tacit knowledge sharing produced partial mediating effect between collaborative innovation activities, BIM application and innovation performance, while explicit knowledge sharing produced complete mediating effect between BIM application and tacit knowledge sharing.

A relationship model among collaborative innovation activities, BIM application, explicit and tacit knowledge sharing and innovation performance in the construction supply chain was proposed, and the rationality of the model was verified by empirical analysis. Discovering the relationships between these factors can be not only conducive to mastering the effect of explicit and tacit knowledge sharing in the collaborative innovation process of construction supply chain, but also play a guiding role for the function development of BIM.

Knowledge sharing is an important way to improve the knowledge system of industrial construction, and the supervision mechanism is an important way to improve the efficiency of knowledge sharing. However, some research works and practices indicate that the effects of applying the supervision mechanism are not obvious. Therefore, the purpose of this paper is to propose an incentive method of knowledge sharing based on the supervision mechanism for promoting knowledge sharing among member enterprises in the industrial construction supply chain.

A basic incentive model and an optimization model of knowledge sharing in the industrial construction supply chain based on the supervision mechanism were developed via the principal–agent theory. Weighted coefficients of explicit and implicit knowledge sharing were introduced into the basic model, while the supervision reward was added into the basic model of the optimization model. The effect of these two models was compared and analyzed via numerical simulation.

The optimal incentive coefficient and effort level of knowledge sharing can be obtained by solving the two aforementioned models. The results of the comparison between the two models indicate that the introduction of a supervisory reward improved the effort level and expected earnings produced by knowledge sharing, but reduced the confirmed equal earnings of member enterprises in the industrial construction supply chain.

Mutual transformation between tacit and explicit knowledge was not considered, and supervisory costs were also not considered, in the estimation of the output of knowledge sharing.

The new models proposed by this study provide theoretical guidance for the design of knowledge sharing incentive measures in the industrial construction supply chain based on the supervision mechanism. The findings suggest that member enterprises should pay attention to the costs of knowledge sharing, in order to obtain more benefits.

This study introduced the weight coefficients of explicit and implicit knowledge sharing into a previous incentive model, proposed an incentive optimization model of knowledge sharing in the industrial construction supply chain based on a supervisory mechanism, and revealed the change rules of related variables that affect the model with the change in weight coefficients. The findings verify the effectiveness of introducing supervisory reward measures and extend the range of theoretical application.

The purpose of this paper is to examine the effect of subjective well-being (SWB) on workplace ostracism, by focusing on the moderating role of emotional intelligence (EI). SWB is taken here as a construct of three components: life satisfaction, positive affect (PA), and negative affect (NA).

The theoretical model was tested using data collected from employees in different firms from different provinces in China. Analyses of multisource and lagged data from 677 employees indicate that as predicted, EI moderates the relationship between SWB (life satisfaction, PA, and NA) and workplace ostracism.

The findings show that when employees demonstrate high levels of EI, the negative relationships between life satisfaction, PA and workplace ostracism were strengthened, and the positive relationship between NA and workplace ostracism was weakened.

First, the results empirically demonstrate that EI is one moderator of the relationship between SWB and workplace ostracism. Second, the study contributes to the field of workplace ostracism by indicating some critical antecedents. Third, the present study examines the moderating role of EI in the relationship between SWB and workplace ostracism among Chinese employees.

The (n‐1) attack is the most powerful attack against mix which is the basic building block of many modern anonymous systems. This paper aims to present a strategy that can be implemented in mix networks to detect and counter the active attacks, especially the (n‐1) attack and its variants.

Based on the analysis of the preconditions of a successful (n‐1) attack and the limitations of previous countermeasures, this paper presents Regroup‐And‐Go mix (RG mix) for detecting and foiling the (n‐1) attack. Messages are divided into groups by the sender, regrouped and forwarded at the intermediate mixes, and reordered and sent to the receiver at the last mix. The grouping information for each mix is encrypted with the public key of the corresponding mix. The messages are forwarded only when all the messages in the same group have arrived. When the regrouping of messages triggers a timeout alert, the mix detects the ongoing attack and takes countermeasures.

RG mix can help foil and detect the (n‐1) attacks from both internal and external attackers because the grouping information for the other mixes is unavailable for them. They can only guess which messages can constitute a group and randomly select some messages to have a try. Analysis and experiments show that the probability of successful attack is low.

RG mix uses the hidden correlations between messages for active attack prevention and detection. RG mix does not have unpractical requirements and can be used in the real‐world implementations.

The National People’s Congress (NPC) of People’s Republic of China, the highest organ of state power, is popularly seen as a rubber-stamp entity. However, it has been substantially evolving its roles to accommodate the governance discourses within China’s political system over the decades. This study aims to explore the changes of governance discourse of the NPC within China’s political system through which to offer a thorough understanding of the NPC’s evolving substantial role in current China.

This study deploys a historical approach to explore the changes of governance discourse of the NPC that has seen a growing importance in China’s political agenda, as argued by this study.

The authors find that the NPC has been substantially evolving its role within China’s political system in which the Chinese Communist Party has created different governance discourses. Besides, the NPC and its Standing Committee have asserted its authority as a substantial actor within China’s political system. The NPC is no longer functioned as a rubber-stamp institution, though it is still popularized as a rubber stamp by many scholars.

This study is a historical elaboration on the development of NPC under three governance discourses. It might be, to some extent, relatively descriptive in nature.

This study, therefore, sheds some light on a revisit on the governance discourses in current China.

Grey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.

Based on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.

The results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.

By analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.

This study aims to investigate the catalytic performance and tribological properties of MoS₂ powder.

In this work, the authors attempted to use MoS₂ nanoparticles (nano-MoS₂) as a catalyst to synthesize trimethylolpropane oleate (TMPTO) by esterification of trimethylolpropane and oleic acid. The small amount of highly dispersed nano-MoS₂ catalyst remaining in TMPTO needed not to be separated and could be used as a lubricant modifier directly to achieve the purpose of improving the lubricity performance of TMPTO.

The results demonstrated that nano-MoS₂ had good catalytic esterification ability and achieved in situ dispersion of about 0.191% nano-MoS₂ in TMPTO while catalyzing the synthesis of base oil. After high-speed centrifugal sedimentation treatment, the product TMPTO still retained about 0.008% of nano-MoS₂. The above-synthesized TMPTO has significantly better lubricity performance than commercially available TMPTO, in which the friction coefficient and wear rate could be reduced by 75%.

The results of this study provide an idea for the design of catalysts for ester oil synthesis.

The purpose of this paper is to evaluate the reliability and structure function of refrigeration complex system consisted of four components in complex manner.

Although, a variety of methodologies have been used to assess the refrigeration system's reliability function that has proven to be effective, the universal generating function approach is the basis of this research study, which is used in the calculation of a domestic refrigeration system with four separate components that are related in series and parallel with a corresponding sample to form a complex machine.

In this paper, signature reliability of the refrigeration system has been evaluated with the universal generating function technique. There are four components present in the proposed system in complex (series and parallel) manner. The tail signature, signature, Barlow–Proschan index, expected lifetime and expected cost of independent identically distributed are all computed.

This is the first study of domestic refrigeration system to examine the signature reliability with the help of universal generating function techniques with various measures. Refrigeration systems are an essential process in industries and home applications as they perform cooling or the maintain temperature at the desired value. A cycle of refrigeration consists of four main components such as, heat exchange, compression and expansion with a refrigerant flowing through the units within the cycle.

The purpose of this study is to focus on the preparation of macroporous adsorption resins (MARs) functionalized with carbazole and N-methylimidazole, and adsorption behaviors of (–)-epigallocatechin gallate (EGCG) and caffeine (CAF) on the functionalized MARs.

Based on the Friedel–Crafts and amination reactions, novel MARs functionalized with carbazole and N-methylimidazole were synthesized and characterized by the BET method. Accordingly, adsorption behaviors and structure-activity relationships for EGCG and CAF were studied in detail.

The results showed that pseudosecond-order kinetic model was provided with a better correlation for the adsorption of EGCG and CAF onto L-1 and L-2, and pseudofirst-order kinetic model was the most suitable model to illustrate the adsorption process for EGCG and CAF on L-3. The result indicated that Langmuir, Freundlich, Temkin–Pyzhev and Dubinin–Radushkevich isotherms all could better illustrate the adsorption processes of EGCG and CAF on L-1, L-2 and L-3.

This study provides theoretical guidance and technical support for the efficient separation and purification of EGCG and CAF from waste tea leaves by MARs on a large scale. In addition, the results showed that this novel MARs would provide useful help and be used in large-scale production of active ingredients from natural products in the industry and other fields.

Adsorption kinetic models such as pseudofirst-order, pseudosecond-order and intra-particle diffusion kinetic models, and adsorption isotherm models such as Langmuir, Freundlich, Temkin–Pyzhev and Dubinin–Radushkevich isotherms models were adopted to illustrate the adsorption mechanisms of EGCG and CAF. The main driving forces for MARs with no functional groups were pore sieving effects, p–p conjugation effects and hydrophobic interactions, and the other significant driving forces for MARs functionalized with carbazole and N-methylimidazole were electrostatic interactions, ion-dipole and hydrogen bonding interactions. This study might provide scientific references and useful help for large-scale separating and enriching active ingredients in natural products using the technology of MARs with special functional groups.