Current Meter Observations in the Old Bahama Channel

Current meter observations were made at 50, 250, and 435 m in 495 m of water at the center of the Old Bahama Channel between November 1990 and November 1991. The mean speed at those depths was 2.6, 50, and 26 cm s-1 toward the Straits of Florida. A maximum speed of 193 cm s-1 was found at the 250-m level. There was evidence of a speed maximum between 50 and 250 m. Large internal diurnal tidal currents were observed that produced high shears in the water column under some conditions. Transport calculated from the single mooring using simple assumptions varied from -2.4 to +6.6 Sv with a mean of +1.9 Sv toward the Straits of Florida. These values, while based on limited data, are very significant compared to the mean flow in the Straits of Florida. Thus flow through the Old Bahama Channel may be an important component of heat and salt transport in the straits

Characteristics and dynamics of the sand dune vegetation at North Bay, Tasmania

The vegetation of the coastal sand dunes at North Bay on the Forestier Peninsula was surveyed in 80 quadrats along seven transects. A total of six plant communities was identified; four from the back dunes and two from the fore dunes. The back dunes were dominated by Banksia marginata Cav. and the fore dunes by Spinifex sericeus R.Br. and Acacia sophorae (Labill.) R.Br. Size class analysis of age classes of the back dune vegetation indicated and eventual senescence of the dominant B. marginata and a replacement by closed canopy trees from wet euclypt forest, such as Notelaea ligustrina Vent. Two communities were found to be of high conservation significance: a S. sericeus grassland from the fore dune and a closed-forest community from the back dunes. Both communities are in a relatively undisturbed state, although the S. sericeus grassland has been invaded by exotic herbs. For these significant communities to remain intact, weeds and human activity must be controlled on the fore dunes and fire excluded from the back dunes

Identification of the Red Supergiant Progenitor of Supernova 2005cs: Do the Progenitors of Type II-P Supernovae Have Low Mass?

The stars that end their lives as supernovae (SNe) have been directly observed in only a handful of cases, due mainly to the extreme difficulty in identifying them in images obtained prior to the SN explosions. Here we report the identification of the progenitor for the recent Type II-plateau (core-collapse) SN 2005cs in pre-explosion archival images of the Whirlpool Galaxy (M51) obtained with the Hubble Space Telescope (HST) Advanced Camera for Surveys (ACS). From high-quality ground-based images of the SN from the Canada-France-Hawaii Telescope, we precisely determine the position of the SN and are able to isolate the SN progenitor to within 0".04 in the HST/ACS optical images. We further pinpoint the SN location to within 0".005 from HST/ACS ultraviolet images of the SN, confirming our progenitor identification. From photometry of the SN progenitor obtained with the pre-SN ACS images, and also limits to its brightness in pre-SN HST/NICMOS images, we infer that the progenitor is a red supergiant star of spectral type K0--M3, with initial mass 7--9 Msun. We also discuss the implications of the SN 2005cs progenitor identification and its mass estimate. There is an emerging trend that the most common Type II-plateau SNe originate from low-mass supergiants 8--15 Msun.Comment: Submitted to ApJ. A high resolution version can be found at http://astron.berkeley.edu/~weidong/sn05cs.p

Global Origin of Mycobacterium tuberculosis in the Midlands, UK

DNA fingerprinting data for 4,207 Mycobacterium tuberculosis isolates were combined with data from a computer program (Origins). Largest population groups were from England (n = 1,031) and India (n = 912), and most prevalent strains were the Euro-American (45%) and East African–Indian (34%) lineages. Combining geographic and molecular data can enhance cluster investigation

A realistic assessment of methods for extracting gene/protein interactions from free text

Background: The automated extraction of gene and/or protein interactions from the literature is one of the most important targets of biomedical text mining research. In this paper we present a realistic evaluation of gene/protein interaction mining relevant to potential non-specialist users. Hence we have specifically avoided methods that are complex to install or require reimplementation, and we coupled our chosen extraction methods with a state-of-the-art biomedical named entity tagger. Results: Our results show: that performance across different evaluation corpora is extremely variable; that the use of tagged (as opposed to gold standard) gene and protein names has a significant impact on performance, with a drop in F-score of over 20 percentage points being commonplace; and that a simple keyword-based benchmark algorithm when coupled with a named entity tagger outperforms two of the tools most widely used to extract gene/protein interactions. Conclusion: In terms of availability, ease of use and performance, the potential non-specialist user community interested in automatically extracting gene and/or protein interactions from free text is poorly served by current tools and systems. The public release of extraction tools that are easy to install and use, and that achieve state-of-art levels of performance should be treated as a high priority by the biomedical text mining community