Machine learning modeling assists intelligent process analysis for high-performance virus filtration
A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences has developed a machine learning (ML) framework to analyze virus filtration ...
Urban rivers, as essential components of ecosystems, have endured severe pollution as a consequence of rapid urbanization and economic development. However, the dynamics of pollution and turbidity in ...
Emerging contaminants (ECs) in natural water bodies, including endocrine disruptors, pharmaceuticals, and synthetic dyes, pose a grave threat to public water safety. Current wastewater treatment ...
The liquid filtration process is an important step in various applications that reuse water within systems. This article provides details on the types of filtration systems available and the benefits ...
The production of viruses, whether for use as viral vaccines, viral vectors for gene therapy, or oncolytic applications, requires complex processes that can translate into high costs, as well as slow ...
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