Forest protection is crucial to ensuring the balance between human beings and ecology. This study explores the key role played by communities that originally lived in forest-protected areas in implementing the traditional management of forests. The unified management mode previously used by the state power can no longer meet the demands of modern times; hence, multiple types of management systems should be implemented to enable adaption to the original ecology of forest areas. A multimodal management mode should be adopted to restore the original ecology of forest areas. The adoption of this management system can restore a forest to its original state (i.e., the state that existed prior to the entry of state power). The forest has been in a state of ecological balance involving numerous species since ancient times. However, in the modern field of science, the passive restoration of a community’s self-governance ability could be unsustainable and unstable. To improve this situation, blockchain technology can first be used to improve the community management of a forest, such that the capabilities of the original local community can be improved; second, tourism promotion benefits both the community and the forest. When a community in a forest develops the tourism industry with the support of blockchain technology, the information and resources of all parties can be widely connected with the larger world, and this considerably increases success rates; finally, the traditional spiritual culture of a community, such as the culture of sharing, should be promoted. In addition to the skillful utilization of technology, culture can improve the traditional forest management ability of tribal communities who live in native forest areas in terms of their personality traits. Overall, we conclude that: against the evolution history of the over one hundred years, the adoption of new technology for forest management is inherently a creative innovation for the tribal community’s entrepreneurial development.

Urbanization has accelerated China’s economic growth, but it has also brought many sustainability issues. This paper selected a random forest model to study the impact of local government-led urbanization on urban sustainable development. Urbanization affected urban sustainable development through government revenue expansion, land resources mismatch, and industrial structure adjustment. The results showed that the adjustment of industrial structure has the greatest impact on urban sustainable development, and the importance of the average output of industrial enterprises confirms it. Government revenue expansion and land resources mismatch are more important to the sustainable development of representative urban agglomerations. The goodness of fit of the random forest model is better than the multiple linear regression (MLR) model and the extreme gradient boosting (XGBoost) model. The generalization ability of the model is improved with the optimization of variables. The main contribution of this paper is that we have established a complete information dynamic game model on government revenue expansion, land resource mismatch, industrial structure adjustment, and urban sustainable development. And the random forest model is used to study the relationship between the above variables.

The two-enzyme complexes significantly improved the catalytic efficiency. Potentially, the two enzymes forming complex clusters can facilitate the immobilization of the two enzymes together through non covalent methods by entrapping in porous supports.

Sustainable development has become a new goal of world development, and the measurement of sustainable development level is an important issue. This article introduces indicators of land ecology and allocation to establish a sustainable development index (SDI) including two levels of indicators. Based on the data research of SDI 2019 of 188 countries (regions), we conclude as follows: 1) the ranking of oil-producing countries fell sharply because of land ecological deterioration and single industrial structure; 2) the ranking of Southeast Asian and East African countries (regions) progressed because of ecological protection; 3) most developing countries (regions) have excellent performance on ecological protection, and the main reason for changing their ranking is the inequality of land allocation. Emerging countries, such as China and Russia, also have these problems in their rapid development. We suggest that countries (regions), especially countries (regions) that rely heavily on resource extraction, should pay attention to land ecological protection, and developed and emerging countries (regions) should optimize land allocation. The main contribution of this article is to provide a new solution and ideas for the measurement of sustainable development by improving the indicator system.

The evolution of polarization singularities supported in a one-dimensional periodic plasmonic system is studied. The lateral inversion symmetry of the system, which breaks the in-plane inversion symmetry and up-down mirror symmetry simultaneously, yields abundant polarization states. A complete evolution process with geometry for the polarization states is traced. In the evolution, circularly polarized points (C points) can stem from 3 different processes. In addition to the previously reported processes occurring in an isolated band, a new type of C point appearing in two bands simultaneously due to the avoided band crossing, is observed. Unlike the dielectric system with a similar structure which only supports at-Γ bound states in the continuum (BICs), accidental BICs off the Γ point are realized in this plasmonic system. This work provides a new scheme of polarization manipulation for the plasmonic systems.