36 research outputs found
Use of load generated by SMA for its position control with neutral network estimator
No full textThis paper presents the position control of a shape memory alloy (SMA) wire actuator by measuring the load generated
by the SMA and using a neural network as an estimator for displacement. The experimentation facility is designed and
developed for the position control of the SMA. Gain scheduled proportional integral (GSPI) and pulse width modulated GSPI controllers are designed and implemented. The closed-loop performance of the position control system using the displacement estimated from the load measurement is the same as the performance obtained with the direct position feedback. The position control of the SMA actuator using the SMA load with the neural network estimator is an easily implementable method that does not affect the frequency of operation of the SMA actuator
Figure 2 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086
No full textFigure 2 Maximum Clade Credibility (MCC) tree from Bayesian analysis using two DNA barcode markers (ITS2+trnH-psbA) with posterior probabilities values in percentage that are shown at nodes
Supplementary material 8 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086
No full textFigure S3. Parsimony distribution of the morphological characters and their status on the MCC Bayesian tre
Entomopathogenic Fungi for the Management of Calopepla leayana on Gmelina arborea
No full textEntomopathogenic fungi, Beauveria bassiana and Metarhizium anisopliae were isolated and identified as natural pathogens of Calopepla leayana. Both the species of fungi were effective against the larval and adult stages of C. leayana causing white and green muscardine diseases respectively. It was also found that B. bassiana was more pathogenic to the pest as compared to M. anisopliae. The susceptibility of larvae and adults was negatively associated with the age and positively associated with the fungal spore concentration. In all the stages from I instar to adult, the highest mortality was observed in 10% of 1x109 spores/ml concentration of B. bassiana among 1, 2.5, 5 & 10% of 1x109 spores/ml concentration. It was also reflected in probit analysis that the concentration of spores required to kill fifty percent of the population was ranges from 0.09% to 5.98% of 1x109 spores/ml concentration of B. bassiana and 1.02% to 9.72% of 1x109 spores/ml concentration of M. anisopliae. The larvae of I instar have shown highest mortality, which gradually decreased with the increase in age or decrease in the concentration of fungal spores. Mass production of B. bassiana using different substrates was attempted to harvest ample amount of spores. This study revealed that spore production was directly proportional to the mycelial weight and incubation period. From the seven substrates tested, wheat flour was identified as one of the suitable substrates for the mass production of B. bassiana. A field trial was conducted to test their efficacy under field conditions. 72-93% mortality was observed in field conditions.-----------------------------------------------------------------------------------------------------Division of Bioprospecting, Institute of Forest Genetics and Tree Breeding, Coimbatore-641002, Tamilnadu, India*Corresponding author, Email: [email protected] This Article As: N. Senthilkumar and S. Murugesan. 2010. Entomopathogenic Fungi for the Management of Calopepla leayana on Gmelina arborea. J. Ecobiotechnol. 2(3): 01-0
Species delimitation of Melia dubia Cav. from Melia azedarach L. complex based on DNA barcoding
No full textThe genus Melia L., which belongs to the â Mahoganyâ family Meliaceae, is a source of important phytochemicals with marked medicinal properties. Species identification in Melia is complex due to the existence of overlapping morphological features. Though Melia dubia Cav. is listed as a synonym of Melia azedarach L., it is not clear from the available literature whether they are the same species or different, and the species complexity still remains unresolved. In the present study, ten accessions of M. dubia and M. azedarach were analysed by DNA barcoding using three chloroplast DNA markers (rbcL, matK, and trnH-psbA), and one nuclear marker (ITS2). Intra-specific divergence was not found in any of the four markers. However, the inter-specific divergence between M. azedarach and M. dubia ranged between 0.3% (rbcL) and 4.7% (ITS2) for individual markers, and for the combined dataset, it was 8.5%. Among the four markers, ITS2 was found to be the most suitable marker for differentiating M. azedarach and M. dubia. Parsimony analysis of the DNA barcoding data showed a clear segregation between M. azedarach and M. dubia as distinct monophyletic clades in all the markers, except the rbcL marker. Our results based on Bayesian analysis of the concatenated dataset strongly support the view that M. dubia be considered a distinct species; not a synonym of M. azedarachThe accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author
Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae)
No full textFicus krishnae is considered as native to India and is well-known for the peculiarity in nature of its cup-shaped leaves where both the vernacular name (Krishna Fig) and specific epithet were derived. The taxonomic status of Ficus krishnae is still unclear and currently treated as a subspecies or variety under Ficus benghalensis. In the present study, morphological characters and molecular analysis were employed to address their species delimitation. The spacer markers ITS2 and trnH-psbA were used for constructing phylogenetic trees along with morphometric analysis. Ficus krishnae distinctly differs from Ficus benghalensis by having cup-forming leaves and the nature of the aerial roots, stipules, petioles, ostiolar bracts of the receptacle, DNA content, chromosome differences and nodal anatomy. The results showed that the highest divergence is observed in trnH-psbA (20.8 ± 12.2), followed by ITS2 (5.7 ± 3.2). The phylogenetic tree construction using Bayesian analysis showed a divergent boundary between the two species suggesting that F. krishnae could be an independent species, not a variety of F. benghalensis. The present study's findings support the view that these two floras can be treated as different species
Crystal growth, piezoelectric, non-linear optical and mechanical properties of lithium hydrogen oxalate monohydrate single crystal
No full textBarA-UvrY two-component system regulates virulence of uropathogenic E. coli CFT073.
No full textUropathogenic Escherichia coli (UPEC), a member of extraintestinal pathogenic E. coli, cause ∼80% of community-acquired urinary tract infections (UTI) in humans. UPEC initiates its colonization in epithelial cells lining the urinary tract with a complicated life cycle, replicating and persisting in intracellular and extracellular niches. Consequently, UPEC causes cystitis and more severe form of pyelonephritis. To further understand the virulence characteristics of UPEC, we investigated the roles of BarA-UvrY two-component system (TCS) in regulating UPEC virulence. Our results showed that mutation of BarA-UvrY TCS significantly decreased the virulence of UPEC CFT073, as assessed by mouse urinary tract infection, chicken embryo killing assay, and cytotoxicity assay on human kidney and uroepithelial cell lines. Furthermore, mutation of either barA or uvrY gene reduced the production of hemolysin, lipopolysaccharide (LPS), proinflammatory cytokines (TNF-α and IL-6) and chemokine (IL-8). The virulence phenotype was restored similar to that of wild-type by complementation of either barA or uvrY gene in trans. In addition, we discussed a possible link between the BarA-UvrY TCS and CsrA in positively and negatively controlling virulence in UPEC. Overall, this study provides the evidences for BarA-UvrY TCS regulates the virulence of UPEC CFT073 and may point to mechanisms by which virulence regulations are observed in different ways may control the long-term survival of UPEC in the urinary tract
A simple VOF-CSF multi-fluid flow solver
No full textA Volume of Fluid (VOF)-Youngs model for the solution of an incompressible immiscible two-phase flows is presented. The solver computes the flow field by solving the family of Navier Stokes equations using SIMPLE algorithm and tracks the position of interface between two fluids with different fluid properties by Piecewise Linear Interface Construction (PLIC) Method. The suitability of the SIMPLE type implementation is assessed by investigating the dynamics of air bubbles in water and comparing results with predictions achieved by the FLUENT CFD software
Research Trends of Chennai Mathematical Institute (CMI) during 2005-2019: A Study reflected on Web of Science data base
No full textThe present study examines the publication pattern of Chennai Mathematical Institute (CMI) during 2005 - 2019 using Web of Science (WOS) database from Clarivate Analytics. 632 articles were published during the study period, more number of articles published in 2019 with 94 (14.87%) and highest number of papers published in physical review letters journal which havs more h-index (567), average annual growth rate of CMI publications was 18.48. Researchers are interested with joint authorship rather than solo authorship pattern. Arun K G is the most prolific author with 94 records and USA is the top collaborative country for CMI with 164(25.95%) records
