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Search Results: 1 - 10 of 23646 matches for " SANJAY KUMAR DEY "
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Lysine richness in human snurps – possible sites for electrophilic attacks
Sanjay Kumar Dey,Sayak Ganguli,Abhijit Datta,Paushali Roy
Bioinformation , 2010,
Abstract: Gene-expression strategies are remodeled following exposure to stress. The reactive oxidants and electrophiles generated after stress actually affects the structural and functional properties of different cellular proteins. It is also seen that lysine rich motifs of proteins play crucial role in electrophilic attack and modification. Therefore, this study revealing lysine richness in 5 main human snrups (Small Nuclear Ribonucleoproteins) indicates a possible mechanism of gene regulation under stress. This possibility is highly supported by the findings that surface residues of the molecules were full of lysine rich clusters. Lysine richness is also found to be a highly conserved pattern across the various domains of life indicative of stress adaptation in the prebiotic to biotic world transition. Moreover the modeled structures showed good all atom contacts and minimal outliers.
Improvement of Bioavailability of Poorly Soluble Drugs through Self Emulsifying Drug Delivery System
Sanjay Dey*,Sajal Kumar Jha,Jadupati Malakar,Amites Gangopadhyay
Journal of PharmaSciTech , 2012,
Abstract: Self emulsifying drug delivery system (SEDDS) has received particular attention as a means of improvement of oral bioavailability poorly soluble and absorbed drugs. SEDDS are the mixture of oils,surfactants, and co-surfactants. This becomes emulsify when come in contact with aqueous solution of GIT under the condition of gentle stirring and digestive motility. SEDDS includes various dosage forms like capsule, tablets, beads, microspheres, nanospheres, etc. thus SEDDS could efficiently improve oral absorption of the sparingly soluble drugs by self-emulsification. For the improvement of bio-availability of drugs with such properties presents one of the greatest challenges in drug formulations. Various technological strategies are reported in the literature including cyclodextrines complex formation, solid dispersions, or micronization, and different technologies of drug delivery systems. Including these approaches self-emulsifying drug delivery system (SEDDS) has gained more attention for enhancement of oral bio-availability with reduction in dose. SEDDS are isotropic mixtures of oil, surfactants, solvents and cosolvents/surfactants. For lipophilic drugs, which have dissolution rate-limited absorption, SEDDS may be a promising strategy to improve the rate and extent of oral absorption.
STUDY OF THE EFFECT OF MUSIC ON CENTRAL NERVOUS SYSTEM THROUGH LONG TERM ANALYSIS OF EEG SIGNAL IN TIME DOMAIN
Anilesh Dey,Sanjay Kumar Palit,D. K. Bhattacharya,D.N. Tibarewala
International Journal of Engineering Sciences and Emerging Technologies , 2013,
Abstract: The paper studies the effect of music signal on central nervous system (CNS) through EEG signal analysis of normal healthy subjects. The subjects are all engineering students, ages ranging between 20 and30. The data are taken in two stages- one when they listen to a special type of music selected and the other, when they are in normal stage and not listening to any music. The experiments are done on eight leads, frontal leads being five in number and rest three being central. On the collected signals Independent Component Analysis (ICA) is applied to assist the process for isolating noise components and for providing cues to explain the functions of different brain areas from the view point of neurology. The results obtained through ICA were subjected to the study of long-term dynamics giving rise to three dimensional chaotic attractors. Next the chaotic attractors are subjected to the quantification analysis of three dimensional attractor by ‘ellipsoid fit’. It is found that the effect is most prominent in the frontal leads. However, the central leads also show some changes, but not as significant as frontal leads. Thus the present study also compares the results on the effect of music in the two types of leads separately. To validate the result, topographical scalp maps are constructed with the observed data. Interestingly the results of the scalp map support the results of quantification.
PSEUDOKNOTS IN HUMAN SNRNPS
SANJAY KUMAR DEY, SAYAK GANGULI, PAUSHALI ROY, PROTIP BASU, HIRAK JYOTI CHAKRABORTY AND ABHIJIT DATTA
International Journal of Bioinformatics Research , 2011,
Abstract: Snurps or small nuclear ribonucleoproteins (snRNPs), are RNA-protein complexes that combine withunmodified pre-mRNA and various other proteins to form a Spliceosome, comprising of five small nuclear RNAs(snRNAs)—U1, U2, U4, U5, and U6 snRNA—as well as many protein factors, upon which splicing of pre-mRNAoccurs. While, RNA pseudoknots play crucial role in protein synthesis by helping in internal ribosome entry,frameshifting, stop codon readthrough in many viral species and the 3’NCR pseudoknots helps viral RNAs to replicate,has been reported by a number of investigators, its presence in human snurps has not yet been done. The present insilico study reveals the presence of pseudoknots in the mRNAs of the proteins associated with human Spliceosome. Itnot only emphasizes their significance as catalytic RNA world relics but also opens the scope of research in thefunctional and structural associations of RNA pseudoknots in eukaryotic gene regulation.
Biometric Recognition for Pet Animal  [PDF]
Santosh Kumar, Sanjay Kumar Singh
Journal of Software Engineering and Applications (JSEA) , 2014, DOI: 10.4236/jsea.2014.75044
Abstract:

Missing, swapping, false insurance claims and reallocation of pet animals (dog) are global problems throughout the world and research done to solve this problem is minimal. Traditional biometrics and non-biometrics methods have their own boundaries and they fail to provide competent level of security to pet animal (dog). The work on animal identification based on their phenotype appearance (coat patterns) has been an active research area in recent years and automatic face recognition for dog is not reported in the literature. Dog identification needs innovative research to protect the pet animal. Therefore it is imperative to initiate research, so that future face recognition algorithm will be able to solve this important problem for identification of pet animal (like dog, cat). In this paper an attempt has been made to minimize the above mentioned problems by biometrics face recognition of dog. The contributions of this research are: 1) implementation of an existing biometrics algorithm which mitigates the effects of covariates for dogs; 2) proposed fusion based method for recognition of pet animal with 94.86% accuracy. Thus in this paper, we have tried to demonstrate that face recognition of dog can be used to recognize the dog efficiently.

Some Common Fixed Point Theorems in Menger Space  [PDF]
Sanjay Kumar, Asha Rani
Applied Mathematics (AM) , 2012, DOI: 10.4236/am.2012.33038
Abstract: This paper consists four sections. First section is central to the text. In second section, we generalize the results of Kohli and Vashistha [1] for pairs of mappings using weakly compatible maps. Third section deals the results for pair of weakly compatible maps along with property (E.A.) using different types of control functions, which generalize the results of Kohli and Vashistha [1] and Kubiaczyk and Sharma [2]. Fourth section is concerned with results for occasionally weakly compatible maps and generalizes, extends and unifies several well known comparable results in literature.
On the Rate of Convergence of Some New Modified Iterative Schemes  [PDF]
Renu Chugh, Sanjay Kumar
American Journal of Computational Mathematics (AJCM) , 2013, DOI: 10.4236/ajcm.2013.34037
Abstract:

In this article, following Bizare and Amriteimoori [1] and B. Parsad and R. Sahni [2], we modify Ishikawa, Agarwal et al., Noor, SP iterative schemes and compare the rate of convergence of Ishikawa, Agarwal et al., Noor, SP and new modified Ishikawa, Agarwal et al., Noor, SP iterative schemes not only for particular fixed value of an,bn,rn but also for varying the value of an,bn,rn. With the help of two numerical examples, we compare the converging step.

Reliability Analysis of a Powerloom Plant Using Interval Valued Intuitionistic Fuzzy Sets  [PDF]
Sanjay Kumar Tyagi
Applied Mathematics (AM) , 2014, DOI: 10.4236/am.2014.513193
Abstract:

In this paper, we investigate the reliability analysis of a powerloom plant by using interval valued intuitionistic fuzzy sets (IVIFS). Herein, we modeled a powerloom plant as a gracefully degradable system having two units A(n) and B(m) connected in series. The reliability ofncomponents of unitAandmcomponents of unitBis assumed to be an IVIFS defined over the universe of discourse [0, 1]. Thus, the reliability of the system obtained is an IVIFS that covers the inherited uncertainty in data collection and reliability evaluation of a powerloom plant.

Coupled Fixed Point for (α, Ψ)-Contractive in Partially Ordered Metric Spaces Using Compatible Mappings  [PDF]
  Preeti, Sanjay Kumar
Applied Mathematics (AM) , 2015, DOI: 10.4236/am.2015.68130
Abstract: In this paper, first we introduce notions of (α, Ψ)-contractive and (α)-admissible for a pair of map and prove a coupled coincidence point theorem for compatible mappings using these notions. Our work extends and generalizes the results of Mursaleen et al. [1]. At the end, we will provide an example in support of our result.
Canonical PSO Based k-Means Clustering Approach for Real Datasets
Lopamudra Dey,Sanjay Chakraborty
Computer Science , 2014,
Abstract: "Clustering" the significance and application of this technique is spread over various fields. Clustering is an unsupervised process in data mining, that is why the proper evaluation of the results and measuring the compactness and separability of the clusters are important issues.The procedure of evaluating the results of a clustering algorithm is known as cluster validity measure. Different types of indexes are used to solve different types of problems and indices selection depends on the kind of available data.This paper first proposes Canonical PSO based K-means clustering algorithm and also analyses some important clustering indices (intercluster, intracluster) and then evaluates the effects of those indices on real-time air pollution database,wholesale customer, wine, and vehicle datasets using typical K-means, Canonical PSO based K-means, simple PSO based K-means,DBSCAN, and Hierarchical clustering algorithms.This paper also describes the nature of the clusters and finally compares the performances of these clustering algorithms according to the validity assessment. It also defines which algorithm will be more desirable among all these algorithms to make proper compact clusters on this particular real life datasets. It actually deals with the behaviour of these clustering algorithms with respect to validation indexes and represents their results of evaluation in terms of mathematical and graphical forms.
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