Based on measurements from a near-field scanner and far-field measurements obtained in a semi-anechoic chamber, a statistical relationship is established between a magnetic field in the near field and an electric field in the far field. The relationship makes it possible to transform a radiated-emission regulatory limit from the far-field to the near-field zone. The transformed near-field limit can allow efficient prediction of radiated-emission compliance for high-speed printed circuit boards. The presented results demonstrate the feasibility of the proposed method for a quick radiated-emission pre-compliance check without heavy equipment investment.
Background: Human coronaviruses (HCoVs) are common etiological agents of acute respiratory tract infections. However their prevalence and clinical presentations are less well studied.Methods: Here in Singapore, we conducted acute respiratory infection surveillance in selected military camps to investigate the epidemiology of such infections and pathogens involved. Nasal washes were done for patients that meet the case criteria along with a survey questionaire. Nucleic acids were then extracted from the nasal washes and subjected to molecular testing for presence of various pathogens, including human coronaviruses.Results: The results presented will focus on the four human coronaviruses 229E, HKU1, NL63 and OC43 detected over a 2 ½ year period of surveillance.Conclusion: The epidemiology of the four human coronaviruses 229E, HKU1, NL63 and OC43 over the 2 ½ year period and how they compare with that of other published studies will be discussed. http://dx.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.