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RISS 인기검색어
- 검색키워드
- 저자 : M. Maheswari (검색결과 4 건)
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M. Srinivasa Rao,O. Shaila,P. Sreelakshmi,S. Vennila,M. Vanaja,A.V.M. Subba Rao,M. Maheswari,K. Sammi Reddy 한국응용곤충학회 2018 Journal of Asia-Pacific Entomology Vol.21 No.2
Experiments were conducted to understand the direct and indirect effects of temperature and elevated CO2 (eCO2), on tritrophic interactions of cowpea (Vigna unguiculata subsp. unguiculata L.), legume aphid Aphis craccivora Koch and coccinellid predator Menochilus sexmaculatus Fab. Reduction of the leaf nitrogen (6%), amino acid (6%) and protein (7%) of cowpea foliage with increased carbon (13%) and C:N ratio (21%) at eCO2 over aCO2 indicated the dilution of biochemical constituents at first trophic level. Shortened development time, DT and increment of reproductive rate, RR at eCO2 over ambient CO2(aCO2)was significant with increase in temperature from 20 to 35 °C. Reduction of the mean degree day, DD requirement of both nymphal (75.79 ± 15.163) and adult stages (157.15 ± 67.04) at eCO2 over aCO2 and same was reflected in the summation DD for both the stages at eCO2 (232.96 ± 80.32)and aCO2 (247.07 ± 64.77) across six temperatures. The ‘rm’ and ‘Ro’ increased gradually with increase in temperature followed the non-linear trend and reached maximum values at 27 °C with shortened ‘T’ across 20 to 35 °C temperatures at eCO2 indicating the significant variation of growth and development at the second trophic level. Decreased grub duration (23%) with increased predation capacity (19%) of M. sexmaculatus on A. craccivora at eCO2 over ambient was noted, indicating the incidence of A. craccivora is likely to be higher with increased predation in the future climate change scenario.
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Nagaraj M. Kulkarni,Milind M. Muley,Mallikarjun S. Jaji,G. Vijaykanth,J. Raghul,Neetin Kumar D. Reddy,Santosh L. Vishwakarma,Navin B. Rajesh,Jeyamurugan Mookkan,Uma Maheswari Krishnan,Shridhar Narayan 대한약학회 2015 Archives of Pharmacal Research Vol.38 No.6
Atorvastatin is a 3-hydroxy-3-methylglutarylcoenzyme-A reductase inhibitor used in the treatment ofatherosclerosis and dyslipidemia. Studies have evaluatedthe utility of statins in the treatment of skin inflammationbut with varied results. In the present study, we investigatedthe effect of atorvastatin on TNF-a release andkeratinocyte proliferation in vitro and in acute and chronic12-O-tetradecanoylphorbol-13-acetate (TPA) induced skininflammation in vivo. Atorvastatin significantly inhibitedlipopolysacharide induced TNF-a release in THP-1 cellsand keratinocyte proliferation in HaCaT cells. In an acutestudy, topical atorvastatin showed dose dependent reductionin TPA induced skin inflammation with highest efficacyobserved at 500 lg/ear dose. In chronic study, topicalatorvastatin significantly reduced TPA induced ear thickness,ear weight, cutaneous cytokines, MPO activity andimproved histopathological features comparable to that ofdexamethasone. Atorvastatin also inhibited TPA stimulatedNF-jB activation in mouse ear. In conclusion, our resultssuggest that atorvastatin ameliorates TPA induced skininflammation in mice at least in part, due to inhibition ofcytokine release and NF-jB activation and may be beneficialfor the treatment skin inflammation like psoriasis.
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Maheswari, R.V.,Subburaj, P.,Vigneshwaran, B.,Iruthayarajan, M. Willjuice The Korean Institute of Electrical Engineers 2014 Journal of Electrical Engineering & Technology Vol.9 No.2
Partial discharge (PD) measurements have emerged as a dominant investigative tool for condition monitoring of insulation in high voltage equipment. But the major problem behind them the PD signal is severely polluted by several noises like White noise, Random noise, Discrete Spectral Interferences (DSI) and the challenge lies with removing these noise from the onsite PD data effectively which leads to preserving the signal for feature extraction. Accordingly the paper is mainly classified into two parts. In first part the PD signal is artificially simulated and mixed with white noise. In second part the PD is measured then it is subjected to the proposed denoising techniques namely Translation Invariant Wavelet Transform (TIWT). The proposed TIWT method remains the edge of the original signal efficiently. Additionally TIWT based denoising is used to suppress Pseudo Gibbs phenomenon. In this paper an attempt has been made to review the methodology of denoising the PD signals and shows that the proposed denoising method results are better when compared to other wavelet-based approaches like Fast Fourier Transform (FFT), Discrete Wavelet Transform (DWT), by evaluating five different parameters like, Signal to noise ratio, Cross-correlation coefficient, Pulse amplitude distortion, Mean square error, Reduction in noise level.
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R.V. Maheswari,P. Subburaj,B. Vigneshwaran,M. Willjuice Iruthayarajan 대한전기학회 2014 Journal of Electrical Engineering & Technology Vol.9 No.2
Partial discharge (PD) measurements have emerged as a dominant investigative tool for condition monitoring of insulation in high voltage equipment. But the major problem behind them the PD signal is severely polluted by several noises like White noise, Random noise, Discrete Spectral Interferences (DSI) and the challenge lies with removing these noise from the onsite PD data effectively which leads to preserving the signal for feature extraction. Accordingly the paper is mainly classified into two parts. In first part the PD signal is artificially simulated and mixed with white noise. In second part the PD is measured then it is subjected to the proposed denoising techniques namely Translation Invariant Wavelet Transform (TIWT). The proposed TIWT method remains the edge of the original signal efficiently. Additionally TIWT based denoising is used to suppress Pseudo Gibbs phenomenon. In this paper an attempt has been made to review the methodology of denoising the PD signals and shows that the proposed denoising method results are better when compared to other wavelet-based approaches like Fast Fourier Transform (FFT), Discrete Wavelet Transform (DWT), by evaluating five different parameters like, Signal to noise ratio, Cross-correlation coefficient, Pulse amplitude distortion, Mean square error, Reduction in noise level.
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