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The purpose of this paper is to propose a wheel/rail mixed lubrication model to study the water lubrication behavior of wheel/rail contact interface.

The numerical simulation method is applied in this paper. A deterministic mixed lubrication model considering surface roughness and transient state is established. The quasi-system numerical and finite difference method are used for numerical solution. The model is verified by comparing with the experimental data in the literature under the same conditions.

Under wet conditions, the change of train speed will change the lubrication state of the wheel/rail contact interface. With an increasing speed, the average film thickness and the film thickness ratio increase, while the adhesion coefficient, the contact load ratio and the contact area ratio decrease. When the creep ratio increases from 0% to 0.5%, the wheel/rail adhesion coefficient and subsurface stress increase sharply. With the increase of axle load, the average film thickness decreases and the adhesion coefficient increases.

This paper aims to improve the mixed lubrication theory by analyzing the characteristics of wheel/rail friction and lubrication, so as to provide some guidance and theory for train driving behavior.

Using the deterministic model, the lubrication state of the wheel/rail contact interface affected by various external factors and the adhesion behavior of wheel/rail progressive process from boundary lubrication to mixed lubrication are studied.

Online health communities (OHCs) can be complementary to healthcare systems to improve the health behaviors of older adults with chronic diseases. This study aims to examine the impacts of habit and social support receipt on older adults' continued participation in OHCs. Particularly, the authors discussed the influences of social support received in two ways: social support received by initiating threads (direct social support receipt) and social support received by being exposed to the threads initiated by others (indirect social support receipt).

Based on the dual-process model (i.e. conscious process and unconscious process), the authors developed the research model. Data from one of the biggest online diabetes communities in Europe were collected. Besides, we used the support vector machine algorithm for social support classification and used the Cox proportion hazards model for model validation.

Older adults' continued participation is influenced by habit and indirect informational support. Habit moderates the relationship between direct informational support receipt and older adults' continued participation. Furthermore, direct and indirect emotional support receipt are both not associated with older adults' continued participation, regardless of their habit strength.

This is the first study investigating older adults' continued participation in OHCs based on the dual-process model. The findings of this study reveal that older adults' continued participation is determined by both the habit and specific conscious evaluation of benefits based on the social support receipt.

More and more older adults begin to use the mobile internet to obtain information. However, the quality of information obtained through mobile internet by older adults is hard to be guaranteed. The purpose of this paper is to study the role of family support when older adults obtain information from mobile internet.

This study conducted a survey of 263 older adults who owned mobile internet devices such as smartphones or tablet PCs. The theory hypotheses are tested using partial least squares techniques.

For older adults, family support is the influencing factor of mobile internet literacy improvement. Family emotional support has stronger impacts on the improvement both of mobile internet skill literacy and of mobile internet information literacy than family cognitive support has. Furthermore, the improvement of both mobile internet skill literacy and of mobile internet information literacy hs positive impacts on the quality improvement of obtained information by older adults.

This paper gives advice on how family members can support older adults during their obtaining information from mobile internet to improve their mobile internet literacy and quality of obtained information.

This study examines the factors that influence mobile internet literacy and quality of obtained information among older adults from the perspective of family support in the Chinese mobile internet context. The research results enrich the internet literacy theory and the information quality theory.

Drawing on open systems theory, this study aims to investigate the direct and moderating effects of information collaboration in the pre-sale stage, transaction management collaboration in the transaction stage and customer service collaboration in the post-sale stage on the linkages of the online–offline store image and the market performance of small sellers.

Data were collected from multiple sources, including self-reported and online objective data from 148 small restaurants that simultaneously sell online and offline, for validating the developed research model. Partial least squares-based structural equation modeling was used for data analysis.

This study illustrates the direct effects of an online store’s image and online–offline collaborations on the market performance of small stores. This study further reveals the boom-bust moderating effects of different collaborations between online–offline images and market performance.

Small stores should be aware of the importance of information congruence and functional integration concerning online–offline collaboration. They should also recognize the paradoxical intervening effects of online–offline collaboration on different channels and arrange appropriate collaboration tactics.

This study presents a significant contribution to the open systems theory by revealing both constructive and destructive properties of the online–offline collaborative system with offline-to-online targeting. Vertically differentiated online–offline collaboration may strengthen one side of the store image but weaken the other side for promoting the market performance of small stores.

Building on the “needs–affordances–features” framework, the authors explored how users are motivated by their needs to actualize the feature-enabled affordances and engage in the metaverse.

The data were collected through semi-structured and in-depth interviews with 35 participants. The authors applied thematic analysis to summarize the key features and affordances, supplemented by frequency analysis to explore the significance of the features. Sentiment analysis was employed to explicate the relationship between user affordance sentiments and engagement.

The key features of the metaverse portal components—hardware, software and content—afford user behaviors. The features of mechanics and physics engines are important for user engagement in the metaverse. The affordances are related to needs satisfaction and user engagement. Mental immersion was frequently mentioned by the participants, implying that it is significant to afford mental immersion in the metaverse.

The findings of the study provide a rich understanding for practitioners in the metaverse on how to use the features to afford user behaviors and engage them. The authors identified the key elements of user engagement that can be used to guide metaverse game designers.

This study provides a rich and systematic understanding of features, affordances, needs satisfaction and engagement in the metaverse. Going beyond a fragmented view, the findings conclude a research framework that weaves features, affordances, needs and engagement together.