305 research outputs found
ChemTextMiner: An open source tool kit for mining medical literature abstracts
Text mining involves recognizing patterns from a wealth of information hidden latent in unstructured text and deducing explicit relationships among data entities by using data mining tools. Text mining of Biomedical literature is essential for building biological network connecting genes, proteins, drugs, therapeutic categories, side effects etc. related to diseases of interest. We present an approach for textmining biomedical literature mostly in terms of not so obvious hidden relationships and build biological network applied for the textmining of important human diseases like MTB, Malaria, Alzheimer and Diabetes. The methods, tools and data used for building biological networks using a distributed computing environment previously used for ChemXtreme[1] and ChemStar[2] applications are also described
A realistic technique for selection of angular momenta from hot nuclei: A case study with 4He + 115In \to 119Sb at E_Lab = 35 MeV
A rather new approach employing Monte Carlo GEANT simulation for converting
the experimentally measured fold distribution to angular momentum distribution
has been described. The technique has been successfully utilized to measure the
angular momentum of the compound nucleus formed in the reaction 4He + 115In -->
119Sb at E_Lab = 35 MeV. A 50 element gamma multiplicity filter, fabricated
in-house, was used to measure experimentally the required fold distribution.
The present method has been compared with the other ones exiting in the
literature and relative merits have been discussed.Comment: 11 pages, 10 figures, accepted for publication in NIM
Signature of clustering in quantum many body systems probed by the giant dipole resonance
The present experimental study illustrates how large deformations attained by
nuclei due to cluster formation are perceived through the giant dipole
resonance (GDR) strength function. The high energy GDR -rays have been
measured from S at different angular momenta () but similar
temperatures in the reactions He(E=45MeV) + Si and
Ne(E=145MeV) + C. The experimental data at lower J
( 10) suggests a normal deformation, similar to the ground state
value, showing no potential signature of clustering. However, it is found that
the GDR lineshape is fragmented into two prominent peaks at high J (
20) providing a direct measurement of the large deformation developed in
the nucleus. The observed lineshape is also completely different from the ones
seen for Jacobi shape transition at high pointing towards the formation of
cluster structure in super-deformed states of S at such high spin. Thus,
the GDR can be regarded as a unique tool to study cluster formation at high
excitation energies and angular momenta.Comment: Published in PRC, 6 pages, 4 figure
Scaling of the giant dipole resonance widths in hot rotating nuclei from the ground state values
The systematics of the giant dipole resonance (GDR) widths in hot and
rotating nuclei are studied in terms of temperature T, angular momentum J and
mass A. The different experimental data in the temperature range of 1 - 2 MeV
have been compared with the thermal shape fluctuation model (TSFM) in the
liquid drop formalism using a modified approach to estimate the average values
of T, J and A in the decay of the compound nucleus. The values of the ground
state GDR widths have been extracted from the TSFM parametrization in the
liquid drop limit for the corrected T, J and A for a given system and compared
with the corresponding available systematics of the experimentally measured
ground state GDR widths for a range of nuclei from A = 45 to 194. Amazingly,
the nature of the theoretically extracted ground state GDR widths matches
remarkably well, though 1.5 times smaller, with the experimentally measured
ground state GDR widths consistently over a wide range of nuclei.Comment: 15 pages, 4 figures, Accepted for publication in Physical Review
Neutron response of the LAMBDA spectrometer and neutron interaction length in BaF2
We report on the neutron response of the LAMBDA spectrometer developed
earlier for high-energy gamma-ray measurement. The energy dependent neutron
detection efficiency of the spectrometer has been measured using the
time-of-flight (TOF) technique and compared with that of an organic liquid
scintillator based neutron detector (BC501A). The extracted efficiencies have
also been compared with those obtained from Monte Carlo GEANT4 simulation. We
have also measured the average interaction length of neutrons in the BaF2
crystal in a separate experiment, in order to determine the TOF energy
resolution. Finally, the LAMBDA spectrometer has been tested in an
in-beam-experiment by measuring neutron energy spectra in the 4He + 93Nb
reaction to extract nuclear level density parameters. Nuclear level density
parameters obtained by the LAMBDA spectrometer were found to be consistent with
those obtained by the BC501A neutron detector, indicating that the spectrometer
can be efficiently used as a neutron detector to measure the nuclear level
density parameter.Comment: 7 pages, 8 figure
Applications of internet technology for requirements elicitation
During the Requirements Elicitation part of a project various stakeholders need to be able to communicate their requirements to the developers, and the developers need to be able communicate their understanding back to the stakeholders. Communication between the various members of the project is the key factor during the Requirements Elicitation part of a project. Easing communications between stakeholders and developers makes the process of eliciting requirement easier, leading to better requirements specification and eventually a better product.
The Requirements Elicitation Process through Internet (REPI) web site has been designed and implemented to explore this idea. The prototype version of REPI guides project members through the elicitation phase using the Software Engineering Institute\u27s framework for Requirements Elicitation. The REPI web site forces stakeholders to explicitly describe the requirements and encourage early discussion between stakeholders and developers. This decreases the likelihood of misunderstood requirements, leading to better requirements specification
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