Molecular Epidemiology of Rickettsial Diseases

This chapter summarizes the classical methods used to investigate rickettsioses initially discovered and characterized in the United States with an emphasis on their role in understanding their epidemiology. More recent molecular methodologies used to diagnose and characterize rickettsioses and rickettsial agents are then presented. New epidemiological insights into rickettsioses that have been obtained by using these molecular tools are then reviewed. Finally, the limitations of contemporary tools used in the molecular epidemiology of rickettsioses are examined and discussed in the context of new opportunities for improvement of these current approaches

First cross-correlation analysis of interferometric and resonant-bar gravitational-wave data for stochastic backgrounds

Data from the LIGO Livingston interferometer and the ALLEGRO resonant-bar detector, taken during LIGO’s fourth science run, were examined for cross correlations indicative of a stochastic gravitational-wave background in the frequency range 850–950 Hz, with most of the sensitivity arising between 905 and 925 Hz. ALLEGRO was operated in three different orientations during the experiment to modulate the relative sign of gravitational-wave and environmental correlations. No statistically significant correlations were seen in any of the orientations, and the results were used to set a Bayesian 90% confidence level upper limit of Ωgw(f)≤1.02, which corresponds to a gravitational-wave strain at 915 Hz of 1.5×10-23 Hz-1/2. In the traditional units of h1002Ωgw(f), this is a limit of 0.53, 2 orders of magnitude better than the previous direct limit at these frequencies. The method was also validated with successful extraction of simulated signals injected in hardware and software