Correlation of Spectral & Redox Properties of Some Ni(II) Complexes of Thiomalic Acid & Thiovanol

410-41

X-Ray K-Absorption Studies of Some Cu(II) Complexes

765-76

K-Absorption Edges of Some Cu(II) Complexes Involving Metal-Metal Exchange Interaction

768-77

A Study of Cu(II) Monochloroacetate & Trichloroacetate at d.m.e.

64-6

Potentiometric study of Complex Formation between Thiovanol & Th(IV), Zr(IV) & UO2(VI)

6

RegenBase: a knowledge base of spinal cord injury biology for translational research.

Spinal cord injury (SCI) research is a data-rich field that aims to identify the biological mechanisms resulting in loss of function and mobility after SCI, as well as develop therapies that promote recovery after injury. SCI experimental methods, data and domain knowledge are locked in the largely unstructured text of scientific publications, making large scale integration with existing bioinformatics resources and subsequent analysis infeasible. The lack of standard reporting for experiment variables and results also makes experiment replicability a significant challenge. To address these challenges, we have developed RegenBase, a knowledge base of SCI biology. RegenBase integrates curated literature-sourced facts and experimental details, raw assay data profiling the effect of compounds on enzyme activity and cell growth, and structured SCI domain knowledge in the form of the first ontology for SCI, using Semantic Web representation languages and frameworks. RegenBase uses consistent identifier schemes and data representations that enable automated linking among RegenBase statements and also to other biological databases and electronic resources. By querying RegenBase, we have identified novel biological hypotheses linking the effects of perturbagens to observed behavioral outcomes after SCI. RegenBase is publicly available for browsing, querying and download.Database URL:http://regenbase.org

Constructing and Characterising Solar Structure Models for Computational Helioseismology

In this paper, we construct background solar models that are stable against convection, by modifying the vertical pressure gradient of Model S (Christensen-Dalsgaard et al., 1996, Science, 272, 1286) relinquishing hydrostatic equilibrium. However, the stabilisation affects the eigenmodes that we wish to remain as close to Model S as possible. In a bid to recover the Model S eigenmodes, we choose to make additional corrections to the sound speed of Model S before stabilisation. No stabilised model can be perfectly solar-like, so we present three stabilised models with slightly different eigenmodes. The models are appropriate to study the f and p1 to p4 modes with spherical harmonic degrees in the range from 400 to 900. Background model CSM has a modified pressure gradient for stabilisation and has eigenfrequencies within 2% of Model S. Model CSM_A has an additional 10% increase in sound speed in the top 1 Mm resulting in eigenfrequencies within 2% of Model S and eigenfunctions that are, in comparison with CSM, closest to those of Model S. Model CSM_B has a 3% decrease in sound speed in the top 5 Mm resulting in eigenfrequencies within 1% of Model S and eigenfunctions that are only marginally adversely affected. These models are useful to study the interaction of solar waves with embedded three-dimensional heterogeneities, such as convective flows and model sunspots. We have also calculated the response of the stabilised models to excitation by random near-surface sources, using simulations of the propagation of linear waves. We find that the simulated power spectra of wave motion are in good agreement with an observed SOHO/MDI power spectrum. Overall, our convectively stabilised background models provide a good basis for quantitative numerical local helioseismology. The models are available for download from http://www.mps.mpg.de/projects/seismo/NA4/.Comment: 35 pages, 23 figures Changed title Updated Figure 1

Bioportal: Ontologies and integrated data resources at the click of the mouse

BioPortal is a Web portal that provides access to a library of biomedical ontologies and terminologies developed in OWL, RDF(S), OBO format, Protégé frames, and Rich Release Format. BioPortal functionality, driven by a service-oriented architecture, includes the ability to browse, search and visualize ontologies (Figure 1). The Web interface also facilitates community-based participation in the evaluation and evolution of ontology content

Genetic enhancement in groundnut

The paper reviews groundnut breeding research in India since 1905. Some of the highlights include: Release of a groundnut cultivar (spanish) in 1905 for cultivation in the bunch tract of Bombay-Karnataka region; Release of C501 (Virginia) in the Punjab Stage; release of 12 cultivars during 1906-1960)and another 30 cultivars during the 1980s. During 1980s, three foliar disease resistant cultivars (Girnar 1, ICGS (FDRS) 10, and ICGV 86590) and cultivars like ICGS11, ICGS 37 and ICGS44 for postrainy season cultivation were released. Till the end of 1992, 72 cultivars have been released in India. As compared to the 70s, the area, production and productivity of groundnut in the 80s increased by 3.4%, 13.8% and 9.3% respectively. But the genetic gains are not reflected in productivity and the reasons for this are discussed. A strong seed production programme is recommended to insure the wide coverage by the improved cultivars at the farm level. The current groundnut breeding activities in India are outlined. The authors suggest that breeding for high yield per se should continue to receive strong emphasis so that resultant material with high yield potential could farm the base for stress resistance breeding programm