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Selvi, S.
- In vitro Antioxidant and Antilipidperoxidative Potential of Calocybe indica
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PDF Views:715
Authors
Source
Journal of Natural Remedies, Vol 10, No 1 (2010), Pagination: 27-31Abstract
The ethanolic extract of Calocybe indica was studied for its free radical scavenging property on different in vitro models like 1, 1 - diphenyl-picryl hydrazyl (DPPH) Assay, Ferric Reducing Antioxidant Power (FRAP) assay and in vitro antilipidperoxidative assay using goat liver homogenate and RBC Ghost model. The in vitro Lipid peroxidation (LPO) was inhibited to a good extent by the Calocybe indica ethanolic extract and the extent of inhibition being higher in the RBC membrane model than the liver homogenate model. The mushroom extract showed good dosedependent free radical scavenging property in both the models.Keywords
Free Radical Scavenging, Calocybe indica, AntioxidantFull Text
- Effect of Mercury Exposure on Vigna unguiculata (Cowpea) Seeds
Abstract Views :165 |
PDF Views:5
Authors
Affiliations
1 Department of Biotechnology, Karunya University, Karunya Nagar, Coimbatore-641 114, T.N., IN
2 Department of Biochemistry, Dr. N.G.P. Arts and Science College, Coimbatore-641 035, T.N., IN
1 Department of Biotechnology, Karunya University, Karunya Nagar, Coimbatore-641 114, T.N., IN
2 Department of Biochemistry, Dr. N.G.P. Arts and Science College, Coimbatore-641 035, T.N., IN
Source
Nature Environment and Pollution Technology, Vol 8, No 1 (2009), Pagination: 53-58Abstract
Vigna unguiculata (Cowpea) seeds were grown under controlled environment in solution of mercury at different concentrations. The eco-toxicity of mercury on the seed germination, early seedling growth, metabolite level, enzyme activities and the uptake of heavy metal content in the seeds were tested. It may be concluded that the inhibition of germination, rate of germination and growth of seeds of Vigna unguiculata in response to mercury demonstrate that they are suppressed not only the protrusion of radical or delayed the germination but also retarded the growth. The seedling growth is more sensitive to heavy metal (Hg2+) in comparison to seed germination. Mercury treatment is potentially toxic to Vigna unguiculata ischolar_main than shoot. Absorption depends on the ability of the ischolar_main and may have an influence on synthesis of protein, carbohydrate, activity of enzyme and phenolic content, some of which can be enhanced, while others get inhibited. The sensitivity of Vigna unguiculata seeds in terms of biochemical changes and enzyme activities was remarkably noticeable. The results suggest that biochemical changes and enzyme activity in Vigna unguiculata plants is promising indicator of heavy metal toxicity. Vigna unguiculata assay should be further explored so that its value can be evaluated when more data are available.Keywords
Vigna unguiculata Seed, Germination Seedling, Growth Mercury Toxicity, Antioxidant, Metabolites.Full Text
- Evaluation of Selenium and Chromium Content in Selected Foods - II
Abstract Views :165 |
PDF Views:2
Authors
Affiliations
1 Sri Avinashilingam Home Science College for Women, Coimbatore-641020, IN
1 Sri Avinashilingam Home Science College for Women, Coimbatore-641020, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 25, No 5 (1988), Pagination: 140-143Abstract
Selenium was found to be an essential trace element in 1957, when it was discovered that animals deficient in selenium had increased susceptibility to liver necrosis. Foods may contain excess or deficiency of selenium, thus leading to signs of toxicity or of deficiency disease. 'Alkali disease' in cattle occurs when grains and forages containing high levels of selenium are ingested. Geological and meteorological factors determine the relative abundance of selenium in the soil in different regions of the world, giving rise to practical problems of selenium toxicity or selenium deficiency that are of considerable economic importance.
- An Efficient Interactive media Encryption using Hybrid Cryptographic Approaches
Abstract Views :179 |
PDF Views:2
Authors
Affiliations
1 PSG College of Arts and Science, Coimbatore, TamilNadu, IN
2 Chikkanna Govt.Arts College, Tripur, TamilNadu, IN
1 PSG College of Arts and Science, Coimbatore, TamilNadu, IN
2 Chikkanna Govt.Arts College, Tripur, TamilNadu, IN
Source
Networking and Communication Engineering, Vol 9, No 6 (2017), Pagination: 137-142Abstract
Data Security these days is turning into an essential worry for any correspondence procedure particularly when it is having classified data and needs to go through an uncertain medium of correspondence. There are numerous methods to shield the information from unapproved get to. Techniques like Symmetric Encryption makes utilization of a mystery key which is utilized by the sender and the beneficiary for scrambling and unscrambling the substance separately. Strategies, for example, lopsided encryption makes utilization of two distinctive keys to do a similar undertaking. The previous technique is quicker when contrasted with the last mentioned however needs as far as security. The last technique makes utilization of an open key framework to make the encryption procedure open however decoding private henceforth expanding the general intricacy. The best known symmetric figure AES [11] makes utilization of 256 piece keys to do the encryption. Exceptionally notable awry strategy RSA [12] makes utilization of 1024 piece keys to do a similar occupation, in this manner expanding the time and space intricacy at the cost of expanded security. Another awry partner ECC [13] makes utilization of a totally unique approach by changing over the characters into relative purposes of an elliptic bend. It makes utilization of 160 piece keys and delivers a similar outcome at a greatly improved pace when contrasted with RSA. In this paper a novel proficient model of Hybrid Encryption including AES and ECC is advanced which scrambles any interactive media information i.e. content, picture, sound, video, and so on. The benefits of both AES and ECC are used to make an all the more intense half and half figure to cross over any barrier of speed and security. With the assistance of lesser estimated keys the time figure required to do the encryption is diminished. The outcomes gotten after execution mirrored a 100 % precision and a colossal speed increase over the current symmetric and hilter kilter innovations. The execution is completed in the Java condition by making separate keys and using them to do the encryption.
Keywords
ECC, Hybrid Encryption, Steganography Multimedia Encryption, Cryptography, Symmetric Encryption, Asymmetric Encryption.References
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- Mapping and Classification of Soil Properties from Text Dataset using Recurrent Convolutional Neural Network
Abstract Views :180 |
PDF Views:1
Authors
S. Selvi
1,
V. Saravanan
2
Affiliations
1 Department of Computer Science and Engineering, Government College of Engineering, Bargur, IN
2 Department of Computer Science, College of Engineering and Technology, Dambi Dollo University, ET
1 Department of Computer Science and Engineering, Government College of Engineering, Bargur, IN
2 Department of Computer Science, College of Engineering and Technology, Dambi Dollo University, ET
Source
ICTACT Journal on Soft Computing, Vol 11, No 4 (2021), Pagination: 2438-2443Abstract
Accurate and effective mapping of soil properties is regarded as a critical task in environmental and agricultural management. The evaluation of properties of soil is a daunting task while monitoring and sensing the environment. Existing sampling methods is a time-consuming and laborious job and they are limited based on the regions. However, the need of soil analysis and its properties is essential at landscape level. In this paper, we use Recurrent Convolution Neural Network (RCNN) to assess the soil properties via its classification task. The model in turn is compared with conventional geostatistical spatial interpolation methods. The utilization of Recurrent Neural Network (RNN) aims at studying the spatial and temporal variability of the properties of soil that adopts Kriging interpolation technique. The simulation is conducted to study the efficacy of the model under different soil conditions and the efficacy of RCNN is reported. The results of simulation shows that the proposed method achieves higher rate of classification accuracy than other models.Keywords
Regional Convolutional Neural Network, Deep Learning, Soil Properties, Prediction.References
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- N.V. Kousik, M. Sivaram and R. Mahaveerakannan, “Improved Density-Based Learning to Cluster for User Web Log in Data Mining”, Proceedings of International Conference on Inventive Computation and Information Technologies, pp. 813-830, 2021.
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