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The purpose of this study is to create sustainable additives for future vehicles, characterized by low levels of sulfated ash, sulfur and phosphorus (SAPS) or even SAPS-free alternatives. These newly developed additives must not only match or outperform the current commercial benchmarks in terms of tribological performance, but also align with the emerging sustainability trends. It is anticipated that this innovative technology will yield promising outcomes in the realm of hybrid and electric vehicles.

This research primarily focused on chemical synthesis, performance evaluation and characterizations. These aspects were studied through collaboration between Syensqo, Southwest Research Institute (the USA) and the Lab of the Future in France. The data was generated and analyzed by a team of research scientists, internship students and technical specialists.

Two types of additives have been specifically designed and synthesized in accordance with sustainable requirements. Both technologies have exhibited exceptional frictional and wear-resistant properties. Moreover, the leading candidates exhibit a lower rate of copper corrosion, stable electric conductivity and outstanding thermal stability when compared to commercial benchmarks. This study is expected to open a new research avenue for developing next-generation additives for lubricants, with wide potential applications including hybrid electric vehicle and electric vehicle markets.

In the current lubricant market, there is a lack of effective low-SAPS or SAPS-free additives. This research aims to address this gap by designing sustainable additives for next-generation vehicles that not only meet specific requirements but also maintain optimal lubrication performance.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-01-2024-0033/

The purpose of this paper is to reveal the mechanism of graphene low-temperature friction and provide a theoretical basis for the application of graphene.

A probe etching model of graphene on the copper substrate was established to obtain the friction pattern of graphene with different layers in the temperature interval from 100 to 300 K. The friction mechanism was also explained from a microscopic perspective based on thermal lubrication theory. Low-temperature friction experiments of graphene were carried out by atomic force microscopy to further verify the graphene low-temperature friction law.

Graphene nanofriction experiments were conducted at 230–300 K. Based on this, more detailed simulation studies were performed. It is found that the combined effect of thermolubricity and thermal fluctuations affects the variation of friction. For monolayer graphene, thermolubricity is the main influence, and friction decreases with increasing temperature. For multilayer graphene, thermal fluctuations gradually become the main influencing factor as the temperature rises, and the overall friction becomes larger with increasing temperature.

Graphene with excellent mechanical properties provides a new way to reduce the frictional wear of metallic materials in low-temperature environments. The friction laws and mechanisms of graphene in low-temperature environments are of great significance for the expansion of graphene application environments.

The investigation of organization's ambidextrous innovation is a challenge in the research studies of management sciences. As existent literature showed a positive relation between dynamic capability (DC) and innovation, few empirical studies are conducted to explain how DC impacts on the balanced and combined dimension of ambidexterity and still less on how social network moderates this relation. As a result, this paper aims to investigate and provide empirical evidence on DC’s influence on ambidexterity in the context of China.

By a relational model of DC, ambidextrous innovation and social network, this study has conducted multiple regression analysis on the data collected from 350 small and medium enterprises (SMEs) in mainland China.

The results show that, DC has positive influence on both the combined and balanced dimension of ambidexterity; and both the relational network and structural network play an inverted U moderating role, where the moderation of relational network is stronger than that of structural network.

This study provides empirical support on DC's influence on ambidexterity together with the moderation of social network.

The authors proposed a new method of fast time delay measurement for integrated pulsar pulse profiles in X-ray pulsar-based navigation (XNAV). As a basic observation of exact orientation in XNAV, time of arrival (TOA) can be obtained by time delay measurement of integrated pulsar pulse profiles. Therefore, the main purpose of the paper is to establish a method with fast time delay measurement on the condition of limited spacecraft’s computing resources.

Given that the third-order cumulants can suppress the Gaussian noise and reduce calculation to achieve precise and fast positioning in XNAV, the proposed method sets the third-order auto-cumulants of standard pulse profile, the third-order cross-cumulants of the standard and the observed pulse profile as basic variables and uses the cross-correlation function of these two variables to estimate the time delay of integrated pulsar pulse profiles.

The proposed method is simple, fast and has high accuracy in time delay measurement for integrated pulsar pulse profiles. The result shows that compared to the bispectrum algorithm, the method improves the precision of the time delay measurement and reduced the computation time significantly as well.

To improve the performance of time delay estimation in XNAV systems, the authors proposed a novel method for XNAV to achieve precise and fast positioning.

Compared to the bispectrum algorithm, the proposed method can improve the speed and precision of the TOA’s calculation effectively by using the cross-correlation function of integrated pulsar pulse profile’s third-order cumulants instead of Fourier transform in bispectrum algorithm.

Growing up in the technology era and heavily invested in longer full-time education, the millennial workforce holds unique characteristics that may influence important job outcomes. Building on the recent research on workforce generations, this paper aims to investigate not only the overall effect of the millennial generation on organizational citizenship behavior (OCB) but also the nuanced effect of how workforce generations may interact with two factors in career development (i.e. job crafting and career anchor) in predicting OCB.

An online survey was conducted among full-time workers in the USA, 321 (64 per cent) of whom were millennials. Hierarchical regression was used to test the hypotheses.

Results indicated that millennials appeared to be less interested in OCB compared to earlier generations in the workforce. Nevertheless, some dimensions of OCB increased when millennials conducted resource-related job crafting or when they held a career anchor on service. In addition, both of these career development factors were positively correlated with OCB.

This study offers important implications to researchers as well as practitioners and highlights the significance of career development factors in motivating millennials toward desired job outcomes.

This research is among the initial attempts to assess the impact of job design and career factors on OCB among millennial workers. The findings highlight millennials’ unique perspectives toward OCB and how job crafting and career anchor may play influencing roles on OCB. With millennials becoming the largest generation in the workforce, such knowledge is critical.

The purpose of this paper is to investigate the mechanism of sheets ply separation induced by air flow through numerical simulation with two-way FSI (fluid-structure interaction) simulation using ANSYS and theoretical speculation.

The paper primarily establishes a simplified physical model of the sheets ply separation induced by air flow. Then, the force of the air flow acting on the sheet has been analyzed based on the model, and the main factor leading to separation was obtained. Furthermore, the parameter analysis was investigated based on linear stability analysis, from which the factors that affect stable separation are obtained. Finally, a series of numerical simulations are performed to verify the conclusions.

This study shows that the main separation factor is the variable air pressure in the gap between the sheets caused by the dynamic pressure air flow. Increasing the inlet velocity of the flow field will increase the separation distance but excessive velocity will lead to instability. The viscous resistance acting on the sheet and the bending stiffness of the sheet are factors that stabilize the system, and the sheet density and the restoring force can lead to instability.

The paper is one of the first in the literature that investigates the problem of sheets ply separation induced by air flow, which is the primary method for multi-layer separation in sheets de-stacking operations, especially for the high-speed occasion.

This study aims to introduce a vision-based model to generate droplets with auto-tuned parameters. The model can auto-adjust the inherent uncertainties and errors involved with the fabrication and operating parameters in microfluidic platform, attaining precise size and frequency of droplet generation.

The photolithography method is utilized to prepare the microfluidic devices used in this study, and various experiments are conducted at various flow-rate and viscosity ratios. Data for droplet shape is collected to train the artificial intelligence (AI) models.

Growth phase of droplets demonstrated a unique spring back effect in droplet size. The fully developed droplet sizes in the microchannel were modeled using least absolute shrinkage and selection operators (LASSO) regression model, Gaussian support vector machine (SVM), long short term memory (LSTM) and deep neural network models. Mean absolute percentage error (MAPE) of 0.05 and R² = 0.93 were obtained with a deep neural network model on untrained flow data. The shape parameters of the droplets are affected by several uncontrolled parameters. These parameters are instinctively captured in the model.

Experimental data set is generated for varying viscosity values and flow rates. The variation of flow rate of continuous phase is observed here instead of dispersed phase. An automated computation routine is developed to read the droplet shape parameters considering the transient growth phase of droplets. The droplet size data is used to build and compare various AI models for predicting droplet sizes. A predictive model is developed, which is ready for automated closed loop control of the droplet generation.

Measuring the performance of public participation is conducive to improving participation systems. However, such measurement, particularly in urban regeneration projects, is difficult because of the complex indicators and multiple stakeholders involved. The purpose of this paper is to measure the public participation level in urban regeneration projects in China.

This study adopts a perception difference-based method to measure the public participation level in urban regeneration projects in China. Specifically, an indicator system consisting of 12 indicators from three categories was first purposed. A perception difference-based method that integrates ANOVA test and Tukey test were then developed. The method was validated using five represented projects, and the results are interpreted based on a proposed measurement matrix.

Regardless of the type of indicator, the perception of the government aligns with the perception of private sector professions, however, deviates from the perception of citizens. By taking the mean score and the significance level among stakeholders of perception as two dimensions, different patterns of issues in the current participation practice in urban regeneration are manifested.

Theoretically, the proposed indicator system and perception difference-based method combined to provide a holistic view of public participation, which is verified to provide a better measurement. Practically, the authors’ methodology helps in revealing issues in current participation practice and further leading to designing coping strategies. Nonetheless, the proposed method requires further validation in participation practices in China and other countries.

By considering the perception mean and the significance level as two dimensions, a public participation measurement matrix is proposed. The performance in different indicators are classified into four stages accordingly, namely idling, starting, running-in and accelerating.

To identify characteristics of Japanese business culture that differ from China, particularly in the dimensions of ‘high context’ versus ‘low context’’ and collectivism versus individualism.

Application of the concepts in cross‐culture research suggested by Hall (1976), Hofstede (1980) and Trompenaar and Hampden‐Turner (1998) and on the base of comprehensive field visits and observation undertaken in China and Japan over the past several years.

The Japanese culture can be characterized as highly tacit and group‐centered, whereas Chinese culture is more explicit and individualistic.

Arguably the absence of a large body of supporting data represents a limitation in the methodology of this article. Future survey based research and further conceptualization on different kinds of collectivisms and individualisms will supplement this article.

Very useful advice in aspects of communication, human relations management, recruitment, and management control systems for international business management developing business opportunities in Japan and China.

This article elucidates the differences in business culture between Japan and China and shows to the global business community that a differentiated view of international business management in Japan and China is necessary.