Increased government scrutiny of cross-border university research relationships, tightened export controls on technologies, and strengthened national regimes regulating technology-related foreign direct investment are now priorities for most democracies. These policy changes are motivated by the common goal of shoring up economic and national security. But the approaches are neither uniform nor harmonized, even among the relatively homogeneous G7 nations, undermining cross-border research and development (R&D) collaboration.
View Article and Find Full Text PDFBackground: Six months into the COVID-19 pandemic, college campuses faced uncertainty regarding the likely prevalence and spread of disease, necessitating large-scale testing to help guide policy following re-entry.
Methods: A SARS-CoV-2 testing program combining pooled saliva sample surveillance leading to diagnosis and intervention surveyed over 112,000 samples from 18,029 students, staff and faculty, as part of integrative efforts to mitigate transmission at the Georgia Institute of Technology in Fall 2020.
Results: Cumulatively, we confirmed 1,508 individuals diagnostically, 62% of these through the surveillance program and the remainder through diagnostic tests of symptomatic individuals administered on or off campus.
In this paper the models discussed by Cohen are extended by introducing an input term. This allows the resulting models to be utilized for system identification tasks. This approach gives a direct way to encode qualitative information such as attractor dimension into the model.
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