Institution
Jadavpur University
Education•Kolkata, India•
About: Jadavpur University is a education organization based out in Kolkata, India. It is known for research contribution in the topics: Population & Fuzzy logic. The organization has 10856 authors who have published 27678 publications receiving 422069 citations. The organization is also known as: JU & Jadabpur University.
Papers published on a yearly basis
Papers
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TL;DR: In this article, Fenton's reagent (Fe 2+ and H 2 O 2 ) was used to study the oxidative degradation of two direct dyes, Blue 2B (B54) and Red 12B (R31), in aqueous solution.
491 citations
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TL;DR: In this article, the authors reviewed the tribological advancement of different electroless nickel coatings based on the bath types, structure and also the tribo testing parameters in recent years.
477 citations
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TL;DR: A test for these two parameters is suggested to be a more stringent requirement than the traditional validation parameters to decide acceptability of a predictive QSAR model, especially when a regulatory decision is involved.
Abstract: Validation is a crucial aspect of quantitative structure-activity relationship (QSAR) modeling. The present paper shows that traditionally used validation parameters (leave-one-out Q(2) for internal validation and predictive R(2) for external validation) may be supplemented with two novel parameters r(m)(2) and R(p)(2) for a stricter test of validation. The parameter r(m)(2)((overall)) penalizes a model for large differences between observed and predicted values of the compounds of the whole set (considering both training and test sets) while the parameter R(p)(2) penalizes model R(2) for large differences between determination coefficient of nonrandom model and square of mean correlation coefficient of random models in case of a randomization test. Two other variants of r(m)(2) parameter, r(m)(2)((LOO)) and r(m)(2)((test)), penalize a model more strictly than Q(2) and R(2)(pred) respectively. Three different data sets of moderate to large size have been used to develop multiple models in order to indicate the suitability of the novel parameters in QSAR studies. The results show that in many cases the developed models could satisfy the requirements of conventional parameters (Q(2) and R(2)(pred)) but fail to achieve the required values for the novel parameters r(m)(2) and R(p)(2). Moreover, these parameters also help in identifying the best models from among a set of comparable models. Thus, a test for these two parameters is suggested to be a more stringent requirement than the traditional validation parameters to decide acceptability of a predictive QSAR model, especially when a regulatory decision is involved.
474 citations
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TL;DR: In this article, some additional variants of r m 2 metrics have been proposed and their applications in judging the quality of predictions of QSPR models have been shown by analyzing results of the QSPr models obtained from three different data sets (n = 119, 90, and 384).
467 citations
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TL;DR: Groundwater arsenic (As) contamination in West Bengal (WB, India) was first reported in December 1983, when 63 people from three villages of two districts were identified by health officials as suffering from As toxicity, and after years of research, additional affected villages are being identified on virtually every new survey.
466 citations
Authors
Showing all 10999 results
Name | H-index | Papers | Citations |
---|---|---|---|
Subir Sarkar | 149 | 1542 | 144614 |
Amartya Sen | 149 | 689 | 141907 |
Susumu Kitagawa | 125 | 809 | 69594 |
Praveen Kumar | 88 | 1339 | 35718 |
Rodolphe Clérac | 78 | 506 | 22604 |
Rajesh Gupta | 78 | 936 | 24158 |
Santanu Bhattacharya | 67 | 400 | 14039 |
Swagatam Das | 64 | 370 | 19153 |
Anupam Bishayee | 62 | 237 | 11589 |
Michael G. B. Drew | 61 | 1315 | 24747 |
Soujanya Poria | 57 | 175 | 13352 |
Madeleine Helliwell | 54 | 370 | 9898 |
Tapas Kumar Maji | 54 | 253 | 9804 |
Pulok K. Mukherjee | 54 | 296 | 10873 |
Dipankar Chakraborti | 54 | 115 | 12078 |