Institution
Annamalai University
Education•Chidambaram, Tamil Nadu, India•
About: Annamalai University is a education organization based out in Chidambaram, Tamil Nadu, India. It is known for research contribution in the topics: Lipid peroxidation & Antioxidant. The organization has 8098 authors who have published 10758 publications receiving 203872 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the dry sliding wear behavior of AA7075 aluminium/SiC p composites fabricated by powder metallurgy technique is reported, where five factors, five levels, central composite, rotable design matrix is used to optimize the required number of experiments.
136 citations
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TL;DR: The wastewater generated during wet-blue tanning process can support dense population of Scenedesmus sp.
Abstract: A number of microalgae species are efficient in removing toxicants from wastewater. Many of these potential species are a promising, eco-friendly, and sustainable option for tertiary wastewater tre...
136 citations
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TL;DR: The present study suggests that the nephroprotective potential of silibinin in As toxicity might be due to its antioxidant and metal chelating properties, which could be useful for achieving optimum effects in As-induced renal damage.
Abstract: Arsenic (As) is an environmental and industrial pollutant that affects various organs in human and experimental animals. Silibinin is a naturally occurring plant bioflavonoid found in the milk thistle of Silybum marianum, which has been reported to have a wide range of pharmacological properties. A body of evidence has accumulated implicating the free radical generation with subsequent oxidative stress in the biochemical and molecular mechanisms of As toxicity. Since kidney is the critical target organ of chronic As toxicity, we carried out this study to investigate the effects of silibinin on As-induced toxicity in the kidney of rats. In experimental rats, oral administration of sodium arsenite [NaAsO(2), 5 mg/(kg day)] for 4 weeks significantly induced renal damage which was evident from the increased levels of serum urea, uric acid, creatinine with a significant (p < 0.05) decrease in creatinine clearance. As also significantly decreased the levels of urea, uric acid and creatinine in urine. A markedly increased levels of lipid peroxidation markers (thiobarbituric acid reactive substances and lipid hydroperoxides) and protein carbonyl contents with significant (p < 0.05) decrease in non-enzymatic antioxidants (total sulfhydryl groups, reduced glutathione, vitamin C and vitamin E) and enzymatic antioxidants (superoxide dismutase, catalase, glutathione peroxidase and glutathione S-transferase), Glutathione metabolizing enzymes (glutathione reductase and glutathione-6-phosphate dehydrogenase) and membrane bound ATPases were also observed in As treated rats. Co-administration of silibinin (75 mg/kg day) along with As resulted in a reversal of As-induced biochemical changes in kidney accompanied by a significant decrease in lipid peroxidation and an increase in the level of renal antioxidant defense system. The histopathological and immunohistochemical studies in the kidney of rats also shows that silibinin (75 mg/kg day) markedly reduced the toxicity of As and preserved the normal histological architecture of the renal tissue, inhibited the caspase-3 mediated tubular cell apoptosis and decreased the NADPH oxidase, iNOS and NF-κB over expression by As and upregulated the Nrf2 expression in the renal tissue. The present study suggests that the nephroprotective potential of silibinin in As toxicity might be due to its antioxidant and metal chelating properties, which could be useful for achieving optimum effects in As-induced renal damage.
136 citations
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TL;DR: A recurrent neural network model for the day ahead deregulated electricity market price forecasting that could be realized using the Elman network is proposed and it has been observed that a nearly state of the art Elmannetwork forecasting accuracy can be achieved with less computation time.
Abstract: This paper proposes a recurrent neural network model for the day ahead deregulated electricity market price forecasting that could be realized using the Elman network. In a deregulated market, electricity price is influenced by many factors and exhibits a very complicated and irregular fluctuation. Both power producers and consumers need a single compact and robust price forecasting tool for maximizing their profits and utilities. In order to validate the chaotic characteristic of electricity price, an Elman network is modeled. The proposed Elman network is a single compact and robust architecture (without hybridizing the various hard and soft computing models). It has been observed that a nearly state of the art Elman network forecasting accuracy can be achieved with less computation time. The proposed Elman network approach is compared with autoregressive integrated moving average (ARIMA), mixed model, neural network, wavelet ARIMA, weighted nearest neighbors, fuzzy neural network, hybrid intelligent system, adaptive wavelet neural network, neural networks with wavelet transform, wavelet transform and a hybrid of neural networks and fuzzy logic, wavelet-ARIMA radial basis function neural networks, cascaded neuro-evolutionary algorithm, and wavelet transform, particle swarm optimization, and adaptive-network-based fuzzy inference system approaches to forecast the electricity market of mainland Spain. Finally, the accuracy of the price forecasting is also applied to the electricity market of New York in 2010, which shows the effectiveness of the proposed approach.
135 citations
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TL;DR: From the results it can be concluded the crude extracts of E. coronaria and C. pulcherrima are an excellent potential for controlling Cx.
Abstract: Objective
To determine the ovicidal and repellent activities of methanol leaf extract of Ervatamia coronaria (E. coronaria) and Caesalpinia pulcherrima (C. pulcherrima) against Culex quinquefasciatus (Cx. quinquefasciatus), Aedes aegypti (Ae. aegypti) and Anopheles stephensi (An. stephensi).
135 citations
Authors
Showing all 8164 results
Name | H-index | Papers | Citations |
---|---|---|---|
Dinesh Mohan | 79 | 283 | 35775 |
Sampath Parthasarathy | 77 | 268 | 34280 |
Mandyam V. Srinivasan | 68 | 344 | 15572 |
Leelavinothan Pari | 58 | 160 | 8374 |
Venugopal P. Menon | 54 | 195 | 10111 |
Kadarkarai Murugan | 54 | 286 | 9280 |
V. Balasubramanian | 54 | 457 | 10951 |
Marimuthu Govindarajan | 52 | 212 | 6738 |
Annamalai Subramanian | 49 | 95 | 6021 |
Meenakshisundaram Swaminathan | 48 | 239 | 8698 |
Siddavaram Nagini | 47 | 185 | 7371 |
Mohan K. Balasubramanian | 47 | 130 | 6238 |
Subash C. B. Gopinath | 45 | 455 | 7855 |
Sunil Sazawal | 44 | 111 | 9774 |
Al. Ramanathan | 43 | 235 | 6132 |