Journal of Environmental and Public Health

The development of the COVID-19 pandemic has had a devastating impact on one Chinese city that has depended heavily on tourism, which is the core focus of the current study. This article uses phenomenological research methods in qualitative research to conduct semistructured and in-depth interviews with travel agency managers in China Highlights. Through the application of tourism resilience theory in the tourism crisis management domain, this article investigates the performance of China Highlights, a local tourism enterprise in Guilin, China, to restore the functioning and growth of the tourism industry in the postpandemic period. The results show that China’s tourism industry is in the early stages of the fast growth stage of economic recovery, and tourism enterprises are faced with a significant challenge in determining how to make sound business choices during the pandemic and after the crisis has passed. It proposes that the tourism resilient theory can serve as a modern crisis management model to facilitate tourism enterprises to revive their performance in times of hardship.

Recently, three new mutations were identified in Sri Lanka in the spike protein of the rapidly spreading delta variant of the SARS-CoV-2 virus identified by the sublineage AY.28. They were A222V, A701S, and A1078S. The primary focus here is on the A701S mutation that is (1) found in the immediate vicinity of the S1/S2 cleavage site (PRRARSV) that separates S1 and S2 subunits of the spike protein; (2) has high structural disorder of the region spanning Serine-701 (Ser-701), which promotes a longer flexible loop forming a better substrate; (3) collapses a loose, short, unstable, tripeptide beta strand (ENS), which is likely to assist the host proteases to cleave the S1-S2 interface easily than when an alanine is present. The same A701S mutation is found in at least 10 other strains of SARS-CoV-2 found in India, USA (East and West Coasts), and China, which classifies this mutation as geographically widespread and convergent in etiology. Conversely, the A1078S mutation is a highly present (>60 strains) mutation in terms of the SARS-CoV-2 coronaviruses, while the highly abundant A222V mutation is inferred by the genetic code, structural and topological features, and placement (in a beta strand) to be an innocuous, conservative mutation. The critical nature of S1/S2-dependent cleavage of S1 and S2 subunits of the spike protein makes the A701S mutation one of significance not just for possible higher virus transmission but also for subsequent fates such as viral load and vaccine effectivity against the delta variant.

Green growth plays a vital role in ensuring sustainable development. Managing economic growth without disrupting the environment is considered the need of the present time. Therefore, the empirics have turned their attention toward finding the determinants of green growth. Hence, we aim to investigate the impact of income inequality on green growth in BRICS economies from 1993 to 2020. Findings of the panel autoregressive distributed lag (ARDL) model confirm that the long-run estimate attached to GINI is negatively significant, implying that higher inequality in the BRICS economies lowers the rate of green growth. The country-wise results highlighted the negative impact of GINI on green growth in India and China only and insignificant in other countries. In the short run, the estimates are inconclusive and mixed, be it group-wise or individual estimates. Our findings imply that the target of lower inequality and environmental sustainability can be achieved simultaneously.

In order to improve the shortcomings that the weight of each index is easily affected by human influence in the evaluation of traditional teachers’ comprehensive literacy, on the basis of the analysis of index coefficients, feature reorganization, and feature analysis, this paper constructs the comprehensive literacy of environmental protection professional teachers’ education in the big data environment. The evaluation model is proposed, and a weight distribution scheme for teachers’ comprehensive literacy evaluation indicators is proposed based on the hierarchical Bayesian beta-return model, so as to improve the rationality of the indicator distribution and make the prediction results more accurate. The simulation results further verify the superiority of the proposed model in improving the comprehensive quality evaluation level of environmental protection teachers.

The application of artificial intelligence (AI) technology in the field of clothes can provide a good development mode and system under the social context of AI technology development. AI provides help for the development of intelligent clothing. Intelligent clothing is a high-tech product that integrates intelligent technology and clothing. It combines cutting-edge technologies in electronic information technology, sensor technology, textile science, and material science. In the extraction and analysis of environmental factors in clothing handicraft, AI technology has a considerable application prospect and a certain development potential. In order to improve the accuracy of environmental factors extraction in clothing handicraft, this paper uses convolutional neural network (CNN) to extract and analyze environmental factors in traditional clothing handicraft. We carried out experiments on the extraction of environmental factors in clothing handicrafts with pure color, few patterns, patterns, and complex background. The experimental results show that the CNN has a good effect on the extraction of environmental factors in clothing handicraft under different backgrounds. In addition, the model in this paper has good stability, accuracy, and feature extraction speed, which has high practical value and research significance.

At present, there are many problems in the mode and method of ideological and emotional education of college students. The state attaches great importance to this aspect and continues to increase investment, but the effect is not satisfactory. As an important field for cultivating high-level socialist talents, colleges and universities have played a huge role in promoting the ideological development and emotional education of college students. The emergence of this contradiction shows that traditional educational methods have their own shortcomings and need to expand their thinking and explore new research areas. Since the new era, the ideological education venues and teaching activities of colleges and universities have been greatly improved, but they are also facing many problems and challenges, which seriously affect the moral quality of college students and destroy the ideological education ecosystem of colleges and universities. From the perspective of the ecological crisis of education, this paper awakens and pays attention to the ecological problems of education, making it an inevitable trend of current education development and paving the way for future research. On this basis, the current situation of the ecology of political education of college students is analyzed, and the necessity of research is proposed. Analyzing the ideological and emotional education of college students from the perspective of ecology is essentially to regard the ideological education of college students as an ecosystem and deeply analyze the distribution of various components and elements of college students’ ideological and political education. The ecology of college students’ ideological education is the process, law, and overall ecological balance of various factors in the ideological education system of college students, as well as the methodological thinking and value orientation of the interaction between various factors and the environment. The changes of the ecological environment have a significant impact on people’s state of mind. As college students growing up in the new environment, their thoughts, emotions, and values are all affected by the development of the ecological environment. Therefore, changes in the ecological environment, air quality, and water environment have increasingly obvious impacts on the living environment.