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To assess psychiatric comorbidity in patients of alcohol dependence.
All the patients of alcohol dependence attending alcohol and drug de-addiction OPD and adult psychiatry OPD on specific days were screened. Those fulfilling the selection criteria were included in the study. A detailed evaluation was done for socio-demographic variables and history of drug using semi-structured proforma especially prepared for the study. Diagnosis of alcohol dependence was made according to DSM-IV-TR criteria. The patients were seen for co-morbid psychiatric illness by applying Structured Clinical Interview for DSM-IV-TR I & II (SCID I & II).
Out of 37 patients 24 (64.8%) were found to have comorbid psychiatric illness. Axis I and Axis II comorbidity was found in 64.8% and 5.4% of the samples, respectively. Patients of cluster A & B personality were equally distributed in the sample. Patients with more than one comorbidity accounted for 37.8% of the sample.
Psychiatric comorbidity in alcohol dependence is very high, other substance in particular. Number of comorbid diagnoses in a person may as high as three.
Nonlinear magneto-acoustic waves in a turbulent plasma are simulated by collisional MHD equations. Damping of these waves due to electrical conductivity arising from micro-instabilities and collisional viscosity are analyzed. Numerical investigation of competing effects due to non-linearity and dissipation has been carried out. It is found that finite amplitude perturbation leads to the formation of a shock in both the slow and the fast mode propagation. Collisional viscosity plays an important role in the damping of nonlinear magneto-acoustic waves in the astrophysical and space plasmas.
We apply gravitational lensing statistics to: (1) place a limit on the cosmological constant (ΩΛ); (2) place a limit on the average red-shift (< z >) of gamma-ray bursters (GRBs); (3) investigate models of galaxy evolution to see how compatible these models are with lensing statistics. We also point out the sources of uncertainty in lensing statistics, leading to uncertainty in the results.
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