431 research outputs found

    Immunoreactivity of hepatitis B surface antigen

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    A Versatile Wireless Network Protocol for Spectrum Sharing with Passive Radio Services

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    With the proliferation of wideband active services in bands shared with passive receivers for remote sensing and radio astronomy, new methods are needed for deconflicting active and passive users. We have developed a technique for active/passive user coordination that is compatible with essentially any existing wireless communications protocol. The passive user transmits an on-off keying modulated signal that can be detected by active radios using simple channel power estimates. Using off-the-shelf WiFi and LoRa hardware and on a software defined radio implementation of LTE, we show that Dynamic Passive to Active Spectrum Sharing (DPASS) is effective on a wide range of frequencies and physical layer implementations. We validate the protocol using these three technologies by demonstrating that each device receives a DPASS packet and dynamically takes an appropriate spectrum coordination action, including shutting off transmissions or switching frequencies.Comment: 9 pages, 8 figure

    The factors of project complexity

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    Whole-genome sequencing for national surveillance of Shiga toxin–producing Escherichia coli O157

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    Background. National surveillance of gastrointestinal pathogens, such as Shiga toxin–producing Escherichia coli O157 (STEC O157), is key to rapidly identifying linked cases in the distributed food network to facilitate public health interventions. In this study, we used whole-genome sequencing (WGS) as a tool to inform national surveillance of STEC O157 in terms of identifying linked cases and clusters and guiding epidemiological investigation. Methods. We retrospectively analyzed 334 isolates randomly sampled from 1002 strains of STEC O157 received by the Gastrointestinal Bacteria Reference Unit at Public Health England, Colindale, in 2012. The genetic distance between each isolate, as estimated by WGS, was calculated and phylogenetic methods were used to place strains in an evolutionary context. Results. Estimates of linked clusters representing STEC O157 outbreaks in England and Wales increased by 2-fold when WGS was used instead of traditional typing techniques. The previously unidentified clusters were often widely geographically distributed and small in size. Phylogenetic analysis facilitated identification of temporally distinct cases sharing common exposures and delineating those that shared epidemiological and temporal links. Comparison with multi locus variable number tandem repeat analysis (MLVA) showed that although MLVA is as sensitive as WGS, WGS provides a more timely resolution to outbreak clustering. Conclusions. WGS has come of age as a molecular typing tool to inform national surveillance of STEC O157; it can be used in real time to provide the highest strain-level resolution for outbreak investigation. WGS allows linked cases to be identified with unprecedented specificity and sensitivity that will facilitate targeted and appropriate public health investigations
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