Globalization In The 21st Centery

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Globalization in the 21 st Centery Chinese Law’s Self-consciousness and its Wakening

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American training for Chinese lawyers New generation of lawyers Changing Chinese legal system Boad knowledge New point of view Firm skill and spirit

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Syngulon’s technology expands the capacity for selection of microorganisms. The ability to select individual microbes with a behavior of interest is essential, whether for simple cloning at the bench, or for industry-scale production. Synthetic biology uses the concept of “bioengineering” to improve or modify existing genetic systems to create microbes with desired behaviors, and Syngulon uses this approach to develop its selection technologies. This selection technology is based on bacteriocins, ribosomally-produced peptides naturally made by most bacteria to kill competitive microbial species. These bacteriocins can have a limited or wide target range against other microbial species. This technology offers advantageous over antibiotic selection for several reasons: it avoids the use of antibiotics in the first place, helping to reduce the spread of antibiotic resistant microbes. The technology also increases product yield; as bacteriocins are generally smaller peptides, they do not impose a heavy metabolic burden on the producing cell. They can have a wide target specificity, helping to avoid genetic drift. Finally, our system is 100% plasmid-based (e.g. without chromosomal mutations), making it applicable for use in any E. coli strains.

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Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “Enterprise Knowledge Graphs: The Importance of Semantics” on May 9, 2024, at the annual Data Summit in Boston. In her presentation, Hedden describes the components of an enterprise knowledge graph and provides further insight into the semantic layer – or knowledge model – component, which includes an ontology and controlled vocabularies, such as taxonomies, for controlled metadata. While data experts tend to focus on the graph database components (RDF triple store or a label property graph), Hedden emphasizes they should not overlook the importance of the semantic layer.

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