The influence of cis/trans isomerism on the physical properties of a cyano-bridged dinuclear mixed valence complex

The cyano-bridged complexes cis-[L14CoIIINCFeII(CN)5]– and cis-[L14CoIIINCFeIII(CN)5] (L14= 6-methyl-1,4,8,11-tetraazacyclotetradecan-6-amine) are prepared and characterised spectroscopically, electrochemically and structurally: Na{cis-[L14CoIIINCFeII(CN)5]}·9H2O, monoclinic space group P21/c, a= 14.758(3), b= 10.496(1), c= 19.359(3) , = 92.00(2)°, Z= 4; cis-[L14CoIIINCFeIII(CN)5]·4H2O, orthorhombic space group P212121, a= 9.492(1), b= 14.709(2), c= 18.760(3) , Z= 4. In both complexes, the pendant amine is cis to the bridging cyanide ligand. An analysis of the metal-to-metal charge transfer (MMCT) transition in these systems with Hush theory has been carried out. This has revealed that the change in the configuration of the macrocycle both decreases the redox isomer energy difference (E1/2) and increases the reorganisational energy () of the cis-[L14CoIIINCFeII(CN)5]– complex with respect to the trans-[L14CoIIINCFeII(CN)5]– complex, the result being that both isomers display an MMCT transition of similar energy. The variation in redox isomer energy differences of the configurational isomers has been related to strain energy differences by molecular mechanics analysis of the [CoL14Cl]2+/+ precursor complexes.

Vitamin B12 stalls the 80 S ribosomal complex on the hepatitis C internal ribosome entry site

The effect of cyanocobalamin (CNCbl, vitamin 1312) on hepatitis C virus internal ribosome entry site (HCV IRES)-dependent initiation of translation was studied by ribosomal toeprinting and sucrose gradient centrifugation analysis. These results suggested that CNCbl did not inhibit HCV IRES-dependent translation by a competitive binding mechanism. CNCbl allowed 80 S elongation complex formation on the mRNA, but stalled the initiation at that point, effectively trapping the 80 S ribosomal complexes on the HCV TRES. CNCbl had no effect on cap-dependent mRNA, consistent with the known mRNA specificity of this translational inhibitor. To help elucidate the mechanism, comparative data were collected for the well-characterised translation inhibitors cycloheximide and 5'-guanylyl-imidophosphate, Although CNCbl stalled HCV IRES-dependent translation at approximately the same step in initiation as cycloheximide, the mechanisms of these two inhibitors are distinct. (C) 2002 Elsevier Science Ltd. All rights reserved.

Further observations on the Enenteridae Yamaguti, 1958 (Digenea, Lepocreadioidea) of the Indo-West Pacific region, including a new species from Western Australia

Measurements are given for all and full descriptions and illustrations for some of the following enenterid species: Enenterum aureum Linton, 1910 in Kyphosus bigibbus and K. sydneyanus? from Ningaloo Coral Reef, Western Australia, K. vaigiensis from off Heron Island, Queensland and K. vaigiensis from off Moorea, French Polynesia; E. mannarense Hafeezullah, 1980 in K. bigibbus and K. sydneyanus? from Ningaloo Coral Reef; E. elongatum Yamaguti, 1970 in K. vaigiensis from Heron Island, Queensland and K. bigibbus and K. sydneyanus? from Ningaloo Coral Reef; Koseiria alanwilliamsi sp. nov. in Kyphosus cornelii from off Kalbarri, Western Australia; Koseiria xishaense Gu et Shen, 1983 in K. vaigiensis from off Heron Island and K. bigibbus from off Palau, Micronesia; Proenenterum isocotylum Manter, 1954 in Aplodactylus arctidens from off Stanley, Tasmania; R ericotylum Manter, 1954 in A. arctidens from off Stanley; Cadenatella isuzumi Machida, 1993 from Kyphosus bigibbus and K. sydneyanus? from Ningaloo Coral Reef; Cadenatella pacifica (Yamaguti, 1970) from Kyphosus bigibbus from Ningaloo Coral Reef. Two recent cladistic studies of the Enenteridae are discussed and a further analysis has shown that Enenterum and Cadenatella are monophyletic, whilst Koseiria appears polyphyletic. The zoogeography and host-specificity of Kyphosus-inhabiting enenterids is discussed.

Monitoring the composition and form of urban environments based on the vegetation-impervious surface-soil (VIS) model by sub-pixel analysis techniques

The majority of the world's population now resides in urban environments and information on the internal composition and dynamics of these environments is essential to enable preservation of certain standards of living. Remotely sensed data, especially the global coverage of moderate spatial resolution satellites such as Landsat, Indian Resource Satellite and Systeme Pour I'Observation de la Terre (SPOT), offer a highly useful data source for mapping the composition of these cities and examining their changes over time. The utility and range of applications for remotely sensed data in urban environments could be improved with a more appropriate conceptual model relating urban environments to the sampling resolutions of imaging sensors and processing routines. Hence, the aim of this work was to take the Vegetation-Impervious surface-Soil (VIS) model of urban composition and match it with the most appropriate image processing methodology to deliver information on VIS composition for urban environments. Several approaches were evaluated for mapping the urban composition of Brisbane city (south-cast Queensland, Australia) using Landsat 5 Thematic Mapper data and 1:5000 aerial photographs. The methods evaluated were: image classification; interpretation of aerial photographs; and constrained linear mixture analysis. Over 900 reference sample points on four transects were extracted from the aerial photographs and used as a basis to check output of the classification and mixture analysis. Distinctive zonations of VIS related to urban composition were found in the per-pixel classification and aggregated air-photo interpretation; however, significant spectral confusion also resulted between classes. In contrast, the VIS fraction images produced from the mixture analysis enabled distinctive densities of commercial, industrial and residential zones within the city to be clearly defined, based on their relative amount of vegetation cover. The soil fraction image served as an index for areas being (re)developed. The logical match of a low (L)-resolution, spectral mixture analysis approach with the moderate spatial resolution image data, ensured the processing model matched the spectrally heterogeneous nature of the urban environments at the scale of Landsat Thematic Mapper data.