Impact of pollution prevention practices and green environmental practices on sustainable performance: Empirical evidence from Chinese SMEs.

Adequate protection of the environment is one of the hot spots of concern for all sectors of society due to severe environmental pollution. The solution to this issue is friendly management of the environment. With the rapid growth of Chinese Manufacturing SMEs for economic development, environmental pollution and abuse of resources are arising. To resolve these issues, Chinese manufacturing SMEs are accelerating the implementation of green innovation in their industries. However, it is a complex task that involves enterprise, government, and social considerations. Therefore, it is essential to identify the green drivers for this implementation. With a focus on China's current situation from previous research and views from experts, this study aims to investigate how Chinese Manufacturing Small and Medium-sized Enterprises (SMEs) are responding to resource misuse and environmental pollution by implementing green innovation, emphasising the role of artificial intelligence (AI) in improving environmental performance. This study primarily looks into the factors that influence the adoption of green innovations by analysing the growth paths of Chinese SMEs operating in highly polluting industries over a longer time frame than five years. Artificial Intelligence is a valuable tool for solving the issues of ecological degradation. A quantitative method has been implemented for the Chinese companies' samples from the deeply polluting industries for more than five years. The findings of this paper advise that the average board size, the governing board meetings, and organizational performance are positively connected with the Chinese firms' environmental process. Board independence and diversity of gender have irrelevant associations with ecological performance. A convenient threshold regression model has been used to accumulate the respondents' data. It also reveals that larger board sizes and more frequent governing board meetings are positively associated with improved environmental performance among these firms. The findings state the critical implications for the firm executives, policymakers, environmental activists, and regulators. This result supports the insight drained from the resource dependence, stakeholder, firm agency, and legitimacy theories.

Fragment-based design and MD simulations of human papilloma virus-16 E6 protein inhibitors.

The main objective of this study is to screen potential small molecule inhibitors against HPV (Human Papilloma Virus)-16 E6 protein (HPV16 E6P) using a fragment-based approach. Twenty-six natural HPV inhibitors were selected based on the review of the literature. Among them, Luteolin was selected as the reference compound. These 26 compounds were used to generate novel inhibitors against HPV16 E6P. Fragment script and BREED of Schrodinger software were used to build novel inhibitor molecules. The result in 817 novel molecules was docked into the active binding site of HPV E6 protein and the top ten compounds were screened based on binding affinity compared to Luteolin for further study. Compounds Cpd5, Cpd7, and Cpd10 were the most potent inhibitors of HPV16 E6P and these were non-toxic and showed high Gastrointestinal (GI) absorption and positive drug-likeness score. Complexes of these compounds were stable in the 200 ns Molecular Dynamics (MD) simulation. These 3 HPV16 E6P inhibitors could be the lead molecules as new drugs for HPV-related diseases.Communicated by Ramaswamy H. Sarma.