Data-assisted reduced-order modeling of extreme events in complex dynamical systems.

The prediction of extreme events, from avalanches and droughts to tsunamis and epidemics, depends on the formulation and analysis of relevant, complex dynamical systems. Such dynamical systems are characterized by high intrinsic dimensionality with extreme events having the form of rare transitions that are several standard deviations away from the mean. Such systems are not amenable to classical order-reduction methods through projection of the governing equations due to the large intrinsic dimensionality of the underlying attractor as well as the complexity of the transient events.

Draft genome sequence of Bacillus amyloliquefaciens HB-26.

Bacillus amyloliquefaciens HB-26, a Gram-positive bacterium was isolated from soil in China. SDS-PAGE analysis showed this strain secreted six major protein bands of 65, 60, 55, 34, 25 and 20 kDa. A bioassay of this strain reveals that it shows specific activity against P.

New cytotoxic alkylated anthraquinone analogues from a soil actinomycete Streptomyces sp. WS-13394.

Four new alkylated anthraquinone analogues (1-4) were isolated from a soil actimomycete Streptomyces sp. WS-13394. The structures of compounds 1-4 were elucidated to be 1,4,6-trihydroxy-8-alkylanthraquinones by means of spectroscopic methods, including UV, one dimensional (1D), 2D-NMR and MS spectrometry.