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This study aims to conduct a systematic review of existing literature on ageism among older informal workers, as most studies have focused on formal work settings. Specifically, it seeks to identify the scope and characteristics of ageism that older informal workers encounter and its influence on their work and well-being.

This paper follows the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) framework to conduct a systematic review. Eleven studies from six databases were included and thematically analysed.

The findings revealed four main themes: the contextual nature of ageism, dimensions of work-related ageism, navigating work-related challenges, and effects on well-being. These themes highlight that, despite being perceived as experienced and reliable, older informal workers face exclusion from work opportunities as they are perceived as unproductive and less capable of acquiring new skills. These negative perceptions significantly impacted their willingness to continue working and overall well-being.

The findings offer an overview of extant research and the direction for future research and policy interventions to address ageism among older informal workers. The findings are crucial for enhancing older workers' quality of life, particularly in low- and middle-income countries, where population ageing is the fastest.

This study is one of the few to systematically explore and evaluate empirical evidence on ageism in the informal work sector. It thus expands existing knowledge and understanding of the phenomenon of ageism in a least explored context.

The purpose of this paper is to design a kind of air bearing which is based on bionics. Compare with ordinary air bearing, the air pressure consumption is reduced and energy is saved.

This paper puts forward a proposition that a bionic bearing structure is designed based on the bionics principle. First, the authors analyze the microstructure of the wings of long-eared owls and the structural mapping model is established. Second, the theoretical formula is derived through the model, and the structural parameters are optimized by sequence quadratic program (SQP). Lastly, the experimental model is made by 3D printing technology, and the experimental data are analyzed to verify the feasibility of the theory.

By comparing the experimental data, it can be seen that the air pressure of the original air bearing is reduced by 27 per cent, and the validity of the theory and design method is verified.

In this paper, a design method of air bearing based on bionic principle is presented, which can save the air pressure required for working of air bearing, and the structure of air bearing is expected to be applied in engineering.