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Search Results: 1 - 10 of 2207 matches for " Srivastava Trilochan "
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Treatment of traumatic trigeminal-cavernous fistula by coil embolization and compression of carotid artery
Yang Xinjian,Mu Shiqing,Srivastava Trilochan,Wu Zhongxue
Neurology India , 2007,
Abstract: We report a case of a traumatic cavernous fistula supplied by a persistent primitive trigeminal artery. The process of treatment was unique in this case. Fistula was subcompletely occluded by coiling from primitive trigeminal artery. Residual fistula was helped to form thrombosis by compression of the carotid artery with hand in the procedure. Long-term follow-up was satisfactory. Traumatic cavernous fistula supplied by a persistent primitive trigeminal artery could be treated by embolization and temporal compression of the parent artery might be useful for residual minimal fistula.
GDP Purchasing Power Parity per Capita and Its Determinants: A Panel Data Analysis for BRICS  [PDF]
S. Venkata Seshaiah, Trilochan Tripathy
Theoretical Economics Letters (TEL) , 2018, DOI: 10.4236/tel.2018.83040
Abstract: This study examines the Gross Domestic product purchasing power parity per capita (GDP PPP per capita) and its determinants using the panel data method to test for unit roots in Brazil, Russia, India, China, and South Africa (BRICS). The main dependent variable in our study is GDP PPP per capita while the independent variables are real exchange rate, real interest rate, consumer price index (CPI), and money supply. We find strong evidence of a long-run relationship among the chosen variables. The co-integration equation reveals positive relationship between GDP PPP per capita and the real exchange rate, real interest rate, and money supply and a negative relationship between GDP PPP and CPI. Based on the VEC Granger Causality/Block Erogeneity Wald Tests, the study finds that the GDP PPP per capita is influenced by the exchange rate and CPI. However, based on the overall Chi-square test, the study shows strong evidence of an influence of all variables on GDP PPP per capita. We hope this study would help the policy makers to come up with appropriate policies to bring about homogeneity among the BRICS nations.
Functionally relevant microsatellites in sugarcane unigenes
Swarup K Parida, Awadhesh Pandit, Kishor Gaikwad, Tilak R Sharma, Prem Srivastava, Nagendra K Singh, Trilochan Mohapatra
BMC Plant Biology , 2010, DOI: 10.1186/1471-2229-10-251
Abstract: The average frequency of perfect microsatellite was 1/10.9 kb, while it was 1/44.3 kb for the long and hypervariable class I repeats. GC-rich trinucleotides coding for alanine and the GA-rich dinucleotides were the most abundant microsatellite classes. Out of 15,594 unigenes mined in the study, 767 contained microsatellite repeats and for 672 of these putative functions were determined in silico. The microsatellite repeats were found in the functional domains of proteins encoded by 364 unigenes. Its significance was assessed by establishing the structure-function relationship for the beta-amylase and protein kinase encoding unigenes having repeats in the catalytic domains. A total of 726 allelic variants (7.42 alleles per locus) with different repeat lengths were captured precisely for a set of 47 fluorescent dye labeled primers in 36 sugarcane genotypes and five cereal species using the automated fragment analysis system, which suggested the utility of designed primers for rapid, large-scale and high-throughput genotyping applications in sugarcane. Pair-wise similarity ranging from 0.33 to 0.84 with an average of 0.40 revealed a broad genetic base of the Indian varieties in respect of functionally relevant regions of the large and complex sugarcane genome.Microsatellite repeats were present in 4.92% of sugarcane unigenes, for most (87.6%) of which functions were determined in silico. High level of allelic diversity in repeats including those present in the functional domains of proteins encoded by the unigenes demonstrated their use in assay of useful variation in the genic component of complex polyploid sugarcane genome.Sugarcane (Saccharum sp.) is a complex polyploid belonging to the family Poaceae of the tribe Andropogoneae. It is an important commercial sugar producing crop and a source of approximately 50% of the world's sugar and alcohol. The polyploid/aneuploid nature with variation in chromosome number has been largely responsible for its genetic and taxono
EVALUATION OF ANALGESIC ACTIVITY OF SOME ESSENTIAL OILS
Trilochan Satapathy
International Journal of Pharmaceutical Research and Development , 2010,
Abstract: Medicinal plants and herbs are of great importance to the health of individuals and communities. Ocimum popularly known as tulsi is a holy plant common to most Indian households. Ancient Hindu literature is abundant with the medicinal actions of O.sanctum. Unlike the synthetic drugs which are synthesized in the laboratory under controlled condition, the drugs which are obtained from the natural sources are showing variability in contents of the active ingredients due to various reasons such as cultivation, rainfall, time of harvesting, intensity of light etc. In this direction our efforts were devoted in identifying these two species (O.sanctum and O.basillicum) authentically and to isolate essential oils from the leaves of the plant by distillation process and screening of the distilled volatile oils for analgesic activity. The analgesic activity of essential oils at different dose levels were studied on Swiss albino mice. The reaction time at 15, 30, 60, 90, 120 minutes were measured. The oil of O.sanctum at the dose level 200 mg/kg and 400 mg/kg body weight showed significant analgesic activity than compared to the groups treated with the oil of O.basillicum.
Correlated Gaussian random walk models of animal dispersal
Trilochan Bagarti
Physics , 2011,
Abstract: A correlated Gaussian random walk(CGRW) model is proposed as a simple model of animal dispersal. The general features of CGRW is described. We will discuss how from this single model a number of different kinds of correlated random walk can be studied. The CGRWs in one dimension is studied in detail and the special limiting cases are discussed where the probability densities are found analytically. Numerical simulations are performed and the results are found to be in good agreement with the theoretical predictions. Directional persistence in CGRWs is discussed for the one dimensional cases. We will show that correlation does not always give rise to directional persistence.
Population extinction in an inhomogeneous host-pathogen model
Trilochan Bagarti
Quantitative Biology , 2014,
Abstract: We study inhomogeneous host-pathogen dynamics to model the global amphibian population extinction in a lake basin system. The lake basin system is modeled as quenched disorder. In this model we show that once the pathogen arrives at the lake basin it spreads from one lake to another, eventually spreading to the entire lake basin system in a wave like pattern. The extinction time has been found to depend on the steady state host population and pathogen growth rate. Linear estimate of the extinction time is computed. The steady state host population shows a threshold behavior in the interaction strength for a given growth rate.
Effect of Competition and Regulation on MFIs Outcomes in India  [PDF]
Debapratim Purkayastha, Trilochan Tripathy, Biswajit Das
Theoretical Economics Letters (TEL) , 2018, DOI: 10.4236/tel.2018.85077
Abstract: The purpose of this paper is to examine the effect of competition and regulation on Microfinance Institutions (MFIs) outcomes in India. Using data for 60 MFIs from the MIX Market database for a period of five years from 2008-09 to 2012-13, panel models are estimated for the empirical examinations. In the modeling framework, constructed Lerner’s Index as competition proxy and regulate dummy as regulatory intervention proxy are introduced as interest variables along with the MFI specific and Macro specific control variables to examine their effect on MFIs outcomes. The study reveals that competition strengthens the outreach, promotes operating efficiency, deteriorates the loan portfolio quality and adversely affects the MFIs profitability. While the regulatory intervention creates some accommodative space for the MFI borrowers, improves MFIs efficiency partially and dampens loan repayments and portfolio quality and profitability via “roe” in India. Our results have also implications on MFIs, fund provider, regulator, government and policy research practitioners. This study contributes towards filling gap in the literature by extending the analysis of the effect of competition and regulation on MFI outcomes to a cross-section of states in India in a panel data framework.
Analysis of social network - An approach towards evaluation of spreading of epidemics in randomized social Network.
Rasmita Panigrahi,Trilochan Rout
International Journal of Computer Science Issues , 2012,
Abstract: Classifying nodes in a network is a task with wide range of applications .it can be particularly useful in epidemics detection .Many resources are invested in the task of epidemics and precisely allow human investigators to work more efficiently. This work creates random and scale- free graphs the simulations with varying relative infectiousness and graph size performed. By using computer simulations it should be possible to model such epidemic Phenomena and to better understand the role played by the different parameters. Such simulations can then be used to study potential measures that can be taken to prevent or at least hinder the epidemic from spreading. Four different type s of network were used represent different structures of connection between individuals: random, scale-free, small-world and small-world with weighted edges. We have varied several free parameters of the graphs and diseases to study their role in disease spreading, for example to #64257;ndout whether the speed of disease spreading and the number of affected individuals will change. The size of the network has also been modified to determine how epidemics in small networks relate to epidemics in large ones. Variations in infectiousness of the disease have also been studied to see if there is some minimum value of this parameter under which the epidemic does not spread and to determine what effects it changes have on spreading of the disease. Then the latency period of the disease has been have on spreading of the disease. Then the latency period of the disease has been Varied in an attempt to observe differences between diseases with and without a latency Period. Finally simulations for different mean degrees of the network have been performed to determine an effect on characteristics of epidemics. We have implement a simple model of epidemics spreading in networks described by arbitrary graphs. We have then performed simulations to study how certain characteristics of the epidemics depend on the structure of the network and several parameters of our model. The four types of networks used in this project are: random networks, scale-free networks according to unweighted and weighted small-world networks.
Asymptotic survival probability of a particle in reaction-diffusion process with exclusion in the presence of traps
Trilochan Bagarti,Kalyan Kundu
Physics , 2013, DOI: 10.1007/s12648-014-0570-y
Abstract: Reaction-diffusion process with exclusion in the presence of traps has been studied. The asymptotic survival probability for the case of uniformly distributed random traps shows a stretched e\ xponential behavior. We show that additional correction terms appear in the stretched exponent when exclusion is taken into account. Analytically it is shown to be $\sim t^{1/6}$ which is ver\ ified by numerical simulations.
Trapping reaction in a symmetric double well potential
Trilochan Bagarti,Kalyan Kundu
Physics , 2014,
Abstract: We study the trapping reaction-diffusion problem in a symmetric double well potential in one dimension with a static trap located at the middle of the central barrier of the double well. The effect of competition between the confinement and the trapping process on the time evolution of the survival probability is considered. The solution for the survival probability of a particle is obtained by the method of Green's function. Furthermore, we study trapping in the presence of a growth term. We show that for a given growth rate there exist a threshold trapping rate beyond which the population can become extinct asymptotically. Numerical simulations for a symmetric quartic potential are done and results are discussed. This model can be applied to study the dynamics of a population in habitats with a localized predation.
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