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In vitro Antioxidant Activity of Ethanolic Extract of Chlorophytum borivilianum
R. Govindarajan1,,N. Sreevidya1,,M. Vijayakumar1,,M. Thakur2,,V.K. Dixit2,,S. Mehrotra*1,,P. Pushpangadan1 한국생약학회 2005 Natural Product Sciences Vol.11 No.3
Chlorophytum borivilianum Baker (Antharicaceae) comonly referred as ‘Safed Musli’ has beenwidely used in the Indian traditional systems of medicine to treat various diseases like rheumatism apart fromaphordisiac properties. C. borivilianum was screened for the first time to determine its antioxidant activity,isolation of the sapogenins and standardization of the isolated sapogenin fraction using HPTLC. Potent antioxidantactivity of ethanolic extract was found by their ability to scavenge DPPH (84.51%), hydroxyl radical (48.95 %),feryl bi-pyridyl complex (84.53%) along with the inhibition of lipid peroxidation (67.17%) at 100g/mlconcentration. The ethanolic extract also exhibited significant inhibition of superoxide anion radical generated byplant in the traditional system especially its use as a Rasayana drug.
Genetic Structure and Differentiation of Three Indian Goat Breeds
Dixit, S.P.,Verma, N.K.,Aggarwal, R.A.K.,Kumar, Sandeep,Chander, Ramesh,Vyas, M.K.,Singh, K.P. Asian Australasian Association of Animal Productio 2009 Animal Bioscience Vol.22 No.9
Gene flow, genetic structure and differentiation of Kutchi, Mehsana and Sirohi breeds of goat from North-Western India were evaluated based on 25 microsatellite markers so as to support breed conservation and improvement decisions. The microsatellite genotyping was carried out using an automated DNA sequencer. The gene diversity across the studied loci for the Kutchi breed varied from 0.57 (ILST 065) to 0.93 (OarFCB 304, OMHC 1, ILSTS 058) with an overall mean of 0.79${\pm}$0.02. The corresponding values for Mehsana and Sirohi breeds were 0.16 (ILST 008) to 0.93 (OMHC 1, ILSTS 058) with an average of 0.76${\pm}$0.04, and 0.50 (ILSTS 029) to 0.94 (ILSTS 058) with an average of 0.78${\pm}$0.02, respectively. The Mehsana breed had lowest gene diversity among the 3 breeds studied. All the populations showed an overall significant heterozygote deficit ($F_{is}$). The Fis values were 0.26, 0.14 and 0.36 for Kutchi, Mehsana and Sirohi goat breeds, respectively. Kutchi and Mehsana were more differentiated (16%) followed by Mehsana and Sirohi (13%).The measures of standard genetic distance between pairs of breeds indicated that the lowest genetic distance was between Kutchi and Sirohi breeds (0.73) and the largest genetic distance was between Mehsana and Kutchi (1.0) followed by Sirohi and Mehsana (0.75) breeds. Mehsana and Kutchi are distinct breeds and this was revealed by the estimated genetic distance between them. All measures of genetic variation revealed substantial genetic variation in each of the populations studied, thereby showing good scope for their further improvement.
Review: Biological Optimization Techniques in Webpage Classification
Shashank Dixit,Dr. R. K. Gupta 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.1
With the explosive growth of the data stored in various forms, need for innovative and effective technologies to find and use information and knowledge from a large variety of data sources which is continually increasing. Web information contains a lot of noise. Web Mining is the application of data mining techniques to discover classification of web data. It focuses on techniques that could predict the data’s class while the user interacts with the web. The aim of this paper is to measure, propose and improve the use of advance web page classification techniques which is highly used in the advent of mining large web pages based data sets which allows data analysts to conduct more efficient execution of large scale web pages data searches. Thus in this paper researchers introduce an improved concept which may reduce the search space using classification techniques with optimization technique.
Copy-Move Image Forgery Detection using Frequency-based Techniques : A Review
Anuja Dixit,R. K. Gupta 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.3
Digital images are inseparable part of our life. Images are used at various places like medical imaging, crime scene investigation, forensic analysis, courts etc. but due to ubiquitous accessibility of image editing software, images are no longer trusted. Digital images are losing their credibility. For checking authenticity of digital images forgery detection methods are required. One of the most frequent image forgery is copy-move. In this forgery, a region of the original image is used for producing a manipulated image by performing post-processing operations over copied segment before pasting it to original image. The main principle of finding such type of forgery is based on finding resemblance present in different segments of image. Image is divided in blocks then feature vectors are extracted corresponding to different blocks of image. Sorting techniques are applied to find similarity between blocks. In case of natural images which may have similar regions, shift vectors are calculated to decrease false matches. Several methods are suggested by researchers to detect such type of forgery. In this paper, a survey on frequency-based methods is presented for detecting copy-move forgery in images.
DCT and DWT Based Methods for Detecting Copy-Move Image Forgery: A Review
Anuja Dixit,Rahul Dixit,R. K. Gupta 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.10
Nowadays, as various image manipulation tools are available very easily. Any person having a little knowledge about these tools can doctor the available images. So digital images are no longer trusted. Computer graphics and digital photography have made the tampering over image easy to commit but hard to detect. Although various image forgery techniques are available but copy-move image forgery is one of the most hard to detect image forgery. In Copy-Move image forgery a segment from the original image is copied and after performing some manipulation over that, segment is pasted at some other location on the same image. This forgery is intended to hide noticeable information shown by the image or for adding information in original image to convey a wrong message. We cannot identify such forgery on the basis of incompatibilities present in an image because the copied segment is taken from the same image so the properties like noise, blur, texture, color palette remain similar to the original image. So, copy-move image forgery is a serious threat to Image forensic Investigators. Researchers have developed several methods for detecting such kind of forgery based on exhaustive search and block based methods. Block based method is more successful in detecting such kind of forgery due to its speed and less complexity. In this paper we discuss forgery detection techniques based on Discrete Cosine Transform and Discrete Wavelet Transform.
Shashank Dixit,R. K. Gupta 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.5
With the very fast development in today`s digital world, Information Retrieval on Internet is gaining importance, day by day. The web comprises of huge amount of data and search engine provides an efficient way to navigate the web and get the relevant information. The search engine has proven to be less efficient in providing relevant information from a query processed by a user. Fors olving this problem and getting accurate results there is need to categorize these web pages. Many optimizations have also done to speedup the classification process as it is required to be fast while maintaining the efficiency. To maintain the accuracy with the lesser time requirement, researchers have developed a SVM based Layered approach with the help of firefly feature selection method.
Genetic Variability and Bottleneck Analysis of Jakhrana Goats by Microsatellite DNA Fingerprinting
Dinesh Kumar,A. K. Pandey,S. P. S. Ahlawat,Geetu Malik,Rekha Sharma,Digpal Singh Gour,S. P. Dixit,N. K. Verma,R. A. K. Aggarwal,Neelam Gupta,B. N. Shahi,S. C. Gupta 한국유전학회 2005 Genes & Genomics Vol.27 No.3