Khalsa College

Punjai Puliyampatti, India

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    ABSTRACT: MicroRNAs (miRNAs) are small endogenous genes regulators which regulate different processes underlying plant adaptation to abiotic stresses. To gain a deep understanding of role of miRNAs in plants, in the present study, we computationally analyzed different sorghum miRNAs in the drought-induced gene sequences. Homologous miRNA were identified using different plant miRNA databases. Using previously established genes databases, various targets of sorghum miRNAs were predicted viz: transcription factors, chaperonins, metabolic enzymes and other gene targets necessary for proper plant development. Analysis of cis-elements provides molecular evidence for the possible involvement of miRNAs in the process of abiotic stress tolerance in sorghum. Based on these results, it was suggested that miRNAs may play an important role in water stress tolerance.
    International Journal of Bioinformatics Research and Applications 01/2013; 9(4):349-364.
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    ABSTRACT: Ideally a drug should be administered in a form that it exerts its pharmacological action at the target site using the lowest concentration possible and without undesirable effects. Drug targeting is the approach which is followed for the purpose. Among different approaches preparation of synthetic glycosides of target drug and administering them orally is one of the most recent approaches. The drug glycoside on reaching colonic region releases the active drug through enzymatic action. This approach has been detailed with different successful examples. Synthetic drug-glycosides, besides being used as drug targeting agents, have been shown to exhibit varied biological activities such as antineoplastic, antidiabetic, antiinfllamatory etc., which have been reviewed. Synthetic approaches to O-, C-, N-, S glycosides have been discussed.
    Mini Reviews in Medicinal Chemistry 12/2012;
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    ABSTRACT: A sample of 474 10th graders was drawn from 17 schools, governing a catchment area of one district in Punjab (India). Using process and structure variables as inputs and the criterion variable of achievement in geometry as an output, the schools were dichotomised as productive and under-productive on the basis of their predicted achievement in multivariate regression equations. The global and analytical picture of such schools was viewed in terms of process and structure variables associated with school, classroom, teachers and students. It was observed that productive schools were characterised by bigger size, higher pupil: teacher ratio and lower expenditure per student in terms of teachers' salaries. The variables of schools characteristics such as: curriculum press, methods of teaching and student teacher interaction in the classroom, curricular activities, school rules, regulations, policies and school traditions revealed a trend in favour of productive schools, which was further substantiated in the analytic picture of schools giving the highest and the lowest output. The teachers of productive schools were conspicuous by superior self-concept irrespective of their qualifications and experience. However, when these variables were made operative, experience favoured better attitudes toward ‘professional growth’ and ‘school discipline’. The pupils of productive and under-productive schools did not differ in respect of their previous academic background; however intelligence and socio-economic status emerged as differential variables.
    British Journal of Educational Psychology. 05/2011; 51(2):197 - 210.


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    Punjai Puliyampatti, India
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Top publications last week by downloads

Bioresource Technology 10/2007; 98(12):2243-57.
Textiles and Light Industrial Science and Technoloogy. 04/2013; 2(2):54-61.

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