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Articles by A. Tiwari
Total Records ( 4 ) for A. Tiwari
  P. Mittal , R. Yadav , R. Devi , A. Tiwari , S.P. Upadhye and S.S. Gosal
  The ground-breaking gene silencing technology was a serendipitous breakthrough in biology, which revealed the existence of a charismatic evolutionary conserved pathway, now known as RNA interference (RNAi). RNAi is a post-transcriptional method of gene silencing in which destruction of mRNAs in a sequence-specific fashion is mediated by double-stranded RNA (dsRNA). RNAi because of its specificity, efficiency and potency have become an attractive tool in the arsenal of the cellular biologist. Hence, RNA interference is the newest kid on the genetic block, allows the scientists to selectively turn off genes and also offering a quick and easy way to determine the function of a gene both in vivo and in vitro. Additionally it promises to set the scientific world alight with its therapeutic potential and wide-ranging applications including onions that can’t make you cry new treatments for degenerative diseases and in field of transgenic technology etc. Due of its exquisite specificity and efficiency, RNAi was voted and justified the “top scientific breakthrough of 2002” by Science Magazine. The present review focuses on the landmarks in RNAi (RNA-interference) discovery, its mechanism of action and the promises and pitfalls it offers in treatment and research
  A. Tiwari , R.K. Gupta and D.P. Agrawal
  Discovering association rules in huge databases is a core topic of data mining. This survey study aims at giving an overview of the previous researches done in this field, evaluating the current status of the work done and envisioning gaps in the current knowledge. The problem of mining association rules can be generalized in to two steps: (1) Finding all frequent itemsets and (2) generating rules from these itemsets. The first sub-task, which is to determine the frequent itemsets, is computationally expensive process. Counting the occurrences of itemsets requires a considerable amount of processing time. As a consequence, number of algorithms are proposed in literature for mining the frequent itemsets. Present study reviews frequent pattern mining algorithms and other related issues available in the literature.
  S.K. Singh , S. Mehra , S.K. Shukla , Vinay Kumar , A. Tiwari , M. Mehra , Giriraj Goyal , Jose Mathew and Deepak Sharma
  The MHC class I gene was amplified, cloned and sequenced in guinea fowl using the primers specific to BF2 gene in chicken. The nucleotide sequence of 571 bp partial CDS of BF2 gene includes 32 nucleotides of signal peptide (exon 1), complete α1 domain (270 nucleotides) and 269 nucleotides of α2 domain. For α1 and α domain no sequence variation was observed within guinea fowl sequences, however, high variability was observed within the other poultry species (15.93-28.03%) except chicken (7.95-9.16%). Between the guinea fowl and other poultry species, the α1 domain showed high nucleotide variability (29.26-43.70%). Among poultry species, guinea fowl showed least variability with chicken and maximum with duck. Among the substitutions, majorities were of non-synonymous (76.27%) with a ration of 1:3 between synonymous to non-synonymous substitutions. Guinea fowl showed lower genetic distances (Kimura 2-parameter) with chicken and quail (0.211-0.215), while with duck and goose, it showed higher genetic distances (0.343-0.350). Phylogenetic tree, based these genetic distances revealed two major clusters, comprising of guinea fowl, quail and chicken in one with guinea fowl as separate branch, while duck and goose in other.
  C. W Li and A. Tiwari

This article analyzes optimal nonlinear portfolio management contracts. We consider a setting in which the investor faces moral hazard with respect to the effort and risk choices of the portfolio manager. The employment contract promises the manager: (i) a fixed payment, (ii) a proportional asset-based fee, (iii) a benchmark-linked fulcrum fee, and (iv) a benchmark-linked option-type "bonus" incentive fee. We show that the option-type incentive helps overcome the effort-underinvestment problem that undermines linear contracts. More generally, we find that for the set of contracts we consider, with the appropriate choice of benchmark it is always optimal to include a bonus incentive fee in the contract. We derive the conditions that such a benchmark must satisfy. Our results suggest that current regulatory restrictions on asymmetric performance-based fees in mutual fund advisory contracts may be costly.

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