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Search Results: 1 - 10 of 886 matches for " Gajendra;Goyal "
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Assessment of hepatoprotective effect of Tecomella undulata (Sm.) Seem., Bignoniaceae, on paracetamol-induced hepatotoxicity in rats
Patel, Krishna N.;Gupta, Gajendra;Goyal, Manoj;Nagori, B. P.;
Revista Brasileira de Farmacognosia , 2011, DOI: 10.1590/S0102-695X2011005000020
Abstract: the aim of the present study was to validate the hepatoprotective activity of bark of tecomella undulata (sm.) seem., biognoniaceae, against paracetamol (pcm) induced hepatic damage. chloroform soluble fraction (fraction-i), acetone soluble fraction (fraction-ii), methanol soluble fraction (fraction-iii) and methanol insoluble fraction (fraction-iv) of ethanolic extract of bark of t. undulata were evaluated for hepatoprotective activity against paracetamol induced hepatic damage using biochemical, morphological, functional and histopathological studies. the methanol soluble fraction (fraction-iii) was most potent among the four fractions studied in detail. fraction-iii showed significant hepatoprotective activity against paracetamol induced hepatic damage as evident by normalization of substantially elevated levels of aspartate amino transferase (ast), alanine amino transferase (alt), alkaline phosphatase (alp) and total bilirubin (tbil), decreased level of total protein (tp), increased wet liver weight and volume, increased thiopentone sodium induced sleeping time and abnormal histopathology. present study showed that the fraction-iii of ethanolic extract of bark of t. undulata significantly restores physiological integrity of hepatocytes. fraction-iii did not show any sign of toxicity up to oral dose of 1500 mg/kg in mice.
Assessment of hepatoprotective effect of Tecomella undulata (Sm.) Seem., Bignoniaceae, on paracetamol-induced hepatotoxicity in rats
Krishna N. Patel,Gajendra Gupta,Manoj Goyal,B. P. Nagori
Revista Brasileira de Farmacognosia , 2011,
Abstract: The aim of the present study was to validate the hepatoprotective activity of bark of Tecomella undulata (Sm.) Seem., Biognoniaceae, against paracetamol (PCM) induced hepatic damage. Chloroform soluble fraction (Fraction-I), acetone soluble fraction (Fraction-II), methanol soluble fraction (Fraction-III) and methanol insoluble fraction (Fraction-IV) of ethanolic extract of bark of T. undulata were evaluated for hepatoprotective activity against paracetamol induced hepatic damage using biochemical, morphological, functional and histopathological studies. The methanol soluble fraction (Fraction-III) was most potent among the four fractions studied in detail. Fraction-III showed significant hepatoprotective activity against paracetamol induced hepatic damage as evident by normalization of substantially elevated levels of aspartate amino transferase (AST), alanine amino transferase (ALT), alkaline phosphatase (ALP) and total bilirubin (TBil), decreased level of total protein (TP), increased wet liver weight and volume, increased thiopentone sodium induced sleeping time and abnormal histopathology. Present study showed that the Fraction-III of ethanolic extract of bark of T. undulata significantly restores physiological integrity of hepatocytes. Fraction-III did not show any sign of toxicity up to oral dose of 1500 mg/kg in mice.
M.C.V. should not be the only criteria to order vitamin B12 for anemia under evaluation  [PDF]
Rohit Jain, Menka Kapil, Gajendra Nath Gupta
Open Journal of Gastroenterology (OJGas) , 2012, DOI: 10.4236/ojgas.2012.24037
Abstract: Introduction: A strict vegetarian diet has been associated with increased risk of cobalamin deficiency therefore; one would expect a high prevalence of Cobalamin deficiency in India. Erythrocyte indices have been used in the initial evaluation of anemic patients; high Mean corpuscular volume (MCV) is a traditional criterion for folate and vitamin B12 deficiencies. There is no large study of the prevalence of B12 deficiency among patients with normocytosis or micro-cytosis. Method: We retrospectively analyzed the records of serum vitamin B12 and MCV of both inpatients and outpatients at Santokba Durlabhji Memorial Hospital & Research Institute, Jaipur (Rajasthan) during the period from August 2010-April 2011. The study was aimed at identifying the correlation between vitamin B12 level and MCV; and prevalence of vitamin B12 deficiency in this region. Result & Conclusion: Every third person is vitamin B12 deficient in the region. There is no correlation between vitamin B12 levels and MCV in majority of the cases. MCV should not be the only criteria for ordering vitamin B12 for patients with anemia under evaluation.
Evaluation of Various Crude Extracts of Zingiber officinale Rhizome for Potential Antibacterial Activity: A Study in Vitro  [PDF]
Purshotam Kaushik, Pankaj Goyal
Advances in Microbiology (AiM) , 2011, DOI: 10.4236/aim.2011.11002
Abstract: In vitro antibacterial activity of crude aqueous and organic extracts of rhizome of Zingiber officinaleRoscoe (ginger) was studied against both Gram-negative (Escherichia coli and Salmonella typhi) and Gram-positive (Bacillus cereus, Bacillus subtilis, Staphylococcus aureus and Streptococcus pyogenes) bacterial strains. The present study reveals that the pattern of inhibition varied with the solvent used for extraction and the organism tested. Plant extracts prepared in organic solvents provided more consistent antibacterial activity as compared to aqueous extracts. Methanol extract was the most active against maximum number of bacterial species tested. Gram-positive bacteria were found the most sensitive as compared to Gram-negative bacteria. Staphylococcus aureus was significantly inhibited by almost all the extracts even in very low MIC followed by other Gram-positives. Escherichia coli (a Gram-negative bacterium) was showing the least inhibition with highest MIC values, while Salmonella typhi was found completely resistant. Methanol extract yielded the presence of terpenoids, flavonoids, alkaloids and tannins in phytochemical screening. Results of the present study sign the interesting assurance of designing a potentially active antibacterial agent from Zingiber officinale.
Development of Efficient Fermentation Process at Bioreactor Level by Taguchi's Orthogonal Array Methodology for Enhanced Dextransucrase Production from Weissella confusa Cab3  [PDF]
Shraddha Shukla, Arun Goyal
Advances in Microbiology (AiM) , 2012, DOI: 10.4236/aim.2012.23033
Abstract: The influence of medium ingredients on extracellular dextransucrase production by a new bacterial strain Weissella confusa Cab3 (Genbank Accession Number JX649223) was evaluated using fractional factorial design of Taguchi's orthogonal array. Four metabolism influencing factors viz. sucrose, yeast extract, K2HPO4 and Tween80 were selected to optimize dextransucrase production by W. confusa Cab3 using fractional factorial design of Taguchi methodology. Based on the influence of interaction components of fermentation, least significant factors of individual level have higher interaction severity index and vice versa for enzyme production from Weissella confusa Cab3. Sucrose and yeast extract were found to be the most significant factors which positively influenced the dextransucrase production. The optimized medium composition consisted of sucrose—5%; yeast extract—2%; K2HPO4—1.0%; Tween80—0.5%, based on Taguchi orthogonal array method. The optimized composition gave an experimental value of dextransucrase activity of 17.9 U/ml at shake flask level which corresponded well with the predicted value of 17.54 U/ml by the model. The optimized medium by Taguchi method gave significant (3 fold) enhancement of dextransucrase activity as compared to unoptimised enzyme activity of 6.0 U/ml. The dextransucrase production was scaled up in lab scale bioreactor resulting in further enhancement of enzyme activity (22.0 U/ml).
Mean value results for second and higher order partial differential equations
S. Goyal,V. Goyal
Applied Mathematical Sciences , 2012,
Abstract:
PRRDB: A comprehensive database of Pattern-Recognition Receptors and their ligands
Sneh Lata, Gajendra Raghava
BMC Genomics , 2008, DOI: 10.1186/1471-2164-9-180
Abstract: The current version of database contains around 500 patterns recognizing receptors from 77 distinct organisms ranging from insects to human. This includes 177 Toll-like receptors, 124 are Scavenger receptors and 67 are Nucleotide Binding Site-Leucine repeats rich receptors. The database also provides information about 266 ligands that includes carbohydrates, proteins, nucleic acids, glycolipids, glycoproteins, lipopeptides. A number of web tools have been integrated in PRRDB in order to provide following services: i) searching on any field; ii) database browsing; and iii) BLAST search against the pattern-recognition receptors. PRRDB also provides external links to standard databases like Swiss-Prot and Pubmed.PRRDB is a unique database of its kind, which provides comprehensive information about innate immunity. This database will be very useful in designing effective adjuvant for subunit vaccine and in understanding role of innate immunity. The database is available from the URL's in the Availabiltiy and requirements section.More than 20 million premature deaths occur every year in the world due to infectious diseases. Every year billions of dollars are spent for the treatment of patients suffering from such diseases, which in turn, poses a great economic burden on the developing nations. Thus, protection of mankind from these dreaded diseases is one of the major challenges in the present era. Fortunately, we have effective vaccines against a number of diseases (e.g. smallpox, polio), which not only save millions of lives but also endows long lasting immunity against these diseases. But these vaccines are available only against a few diseases and the vaccines against the other infectious diseases like malaria, tuberculosis are still wanted. So, developing effective and cheap vaccines against all the infectious diseases is the need of the hour. Strategies to develop vaccines have changed tremendously over the time i.e. from whole pathogen to antigens and from antigen
ENERGY AWARE AND MULTIPATH BASE RELIABLE COMMUNICATION IN MANET
VARUN MISHRA, GAJENDRA SONKER
International Journal of Innovative Research in Computer and Communication Engineering , 2013,
Abstract: In MANET (Mobile Ad hoc Network) nodes are battery operated with self-motivated network topology due to mobility of nodes. Therefore energy efficiency is an important design deliberation to extend the lifetime of networks. A critical issue in routing strategy design the MAX energy based multipath routing network apart from conventional ad hoc networks is energy conservation and prolonging network lifetime while maintaining connectivity. If the one path in normal energy based routing is break that causes the heavy packet loss because that kind of link breaks are occur suddenly or without any information and also neighbor are not aware about this kind of condition. To address this issue, we propose a multi-path MAX energy based routing scheme that reduces the congestion and improves the energy efficiency and the reliability in data delivery. In this scheme the multipath AOMDV protocol reduces the possibility of congestion by using the concept of dynamic queue and MAX energy based routing always selecting the node for routing that has maximum energy. Each data packet is delivered to the neighbor by one or more multiple paths according to proposed scheme. The balance among multiple paths that considers the energy usage at neighbors is further considered in path selection, which leads to efficient utilization of the relay nodes and prevents early death of heavily involved nodes. Simulation results show that proposed energy aware path selection, a more even MAX energy consumption among nodes is developed and leads to longer network life time.
Optimizing Mining Association Rules for Artificial Immune System based Classification
SAMEER DIXIT,GAJENDRA SINGH
International Journal of Engineering Science and Technology , 2011,
Abstract: The primary function of a biological immune system is to protect the body from foreign molecules known as antigens. It has great pattern recognition capability that may be used to distinguish between foreigncells entering the body (non-self or antigen) and the body cells (self). Immune systems have many characteristics such as uniqueness, autonomous, recognition of foreigners, distributed detection, and noise tolerance . Inspired by biological immune systems, Artificial Immune Systems have emerged during the last decade. They are incited by many researchers to design and build immune-based models for a variety of application domains. Artificial immune systems can be defined as a computational paradigm that is inspired by theoretical immunology, observed immune functions, principles and mechanisms. Association rule mining is one of the most important and well researched techniques of data mining. The goal of association rules is to extract interesting correlations, frequent patterns, associations or casual structures among sets of items in thetransaction databases or other data repositories. Association rules are widely used in various areas such as inventory control, telecommunication networks, intelligent decision making, market analysis and risk management etc. Apriori is the most widely used algorithm for mining the association rules. Other popular association rule mining algorithms are frequent pattern (FP) growth, Eclat, dynamic itemset counting (DIC) etc. Associative classification uses association rule mining in the rule discovery process to predict the class labels of the data. This technique has shown great promise over many other classification techniques. Associative classification also integrates the process of rule discovery and classification to build the classifier for the purpose of prediction. The main problem with the associative classification approach is the discovery of highquality association rules in a very large space of candidate rules and incorporating these rules in the classification process. The rule search process is also computationally expensive for the small support threshold values which plays very important role in building an accurate classifier.The artificial immune system (AIS) uses powerful information capabilities of the immune system such as feature extraction, learning pattern recognition etc. The clonal selection algorithm of artificial immune system uses the population-based search model of evolutionary computation algorithms that have the capability of dealing with a complex search space.The clonal selection
A VALIDATION OF SIM-A WITH OVPSIM
Gajendra Kumar Ranka
Journal of Global Research in Computer Science , 2011,
Abstract: The design of modern embedded systems requires automated modelling tools for faster design and for the study of various design tradeoffs. Such tools put together constitute an integrated environment where the designer can write the high level design specifications in a language and use these tools for automatic generation of system specific tools. The major contribution of this paper lies in design and development of retargetable simulator and validation of the simulator with different simulators like OVPSim {Open Virtual Platform}. Proposed simulator measures cycle count for application executed on processor. This paper discusses the OVP Simulators, its working and the different customisations that are required to execute the benchmark application on this Simulator. Keywords: ASIP, Application Specific Instruction Processors, Retargetable Simulator, Embedded Systems, Processors, ASIP Simulators, Design Space Exploration, OVP Simulator
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