David V.K.,Avinashilingam Deemed University
ACM International Conference Proceeding Series | Year: 2012
Robust and accurate cancer diagnosis and classification is very important in cancer treatment. A microarray data produce a large amount of data that are irrelevant, noisy and highly dimensional. Most of the genes are uninformative which degrades the performance of data mining and machine learning tasks. To reduce the curse of dimensionality, a preprocessing step known as feature selection is done. Feature selection is referred as selecting only a fraction of features that are most predictive of a given outcome. To deal with these issues, classification tools should robustly learn to identify a subset of informative genes embedded in large data set that has high dimensional noises. In this paper, an integrated approach of FNT (Flexible Neural Tree) and swarm optimization is proposed to simultaneously optimize the selection of feature subset and the classifier. A hierarchical neural network like structure is flexible neural tree (FNT).which is automatically created and optimized using evolutionary like algorithms to solve a given problem. Because of the most distinctive feature of flexible neural tree structure, it is not necessary to set the structure and weights of neural networks prior the problem is solved. The architecture of FNT is created with Ant Colony Optimization (ACO) and the parameters of the neural tree are optimized by Particle Swarm Optimization (PSO) algorithm and its enhancement (EPSO). The experimental results indicate that the proposed technique is feasible and efficient for the classification of microarray data. Copyright © 2012 ACM.
Brindha Venkatesh D.,PSG College of Technology |
Brindha Venkatesh D.,Avinashilingam Deemed University |
Saroja S.,PSG College of Technology |
Saroja S.,Avinashilingam Deemed University |
And 2 more authors.
Journal of Basic and Clinical Physiology and Pharmacology | Year: 2010
Medicinal plants play a key role in human health care. Frustration over the side effects of allopathic drugs has driven the medical world to take asylum in the plant kingdom for the treatment of various ailments. Euphorbia hirta belonging to the family of Euphorbiacae has been reported to possess antibacterial, antiviral, and anticancer activity. The aim of the present study was to investigate the protective effect of E. hirta against antitubercular drug-induced cytotoxicity in freshly isolated hepatocytes. The extent of cytotoxicity of the plant extracts was also analyzed using human liver derived HepG2 cell line by estimating the viability of cells (MTT assay). The alcoholic plant extract normalized the levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), lactate dehydrogenase (LDH), triacylglycerol (TAG), cholesterol, total protein, albumin, total and direct bilirubin, which were altered due to antitubercular drug intoxication. A dose-dependent increase in percent viability was observed when antitubercular drug exposed HepG2 cells were treated with different concentrations of plant extracts (125, 250, 500 and 1000 μg/mL) which were compared with a standard hepatoprotective drug Silymarin. The highest percentage viability of HepG2 was observed at a concentration of 1000 μg/mL. The results suggest that E. hirta exerts protection against antitubercular drug-induced cytotoxicity in this vitro model system. © 2010 Freund Publishing House Limited.
Balasubramanian K.,Avinashilingam Deemed University |
Padma P.R.,Avinashilingam Deemed University
JAMS Journal of Acupuncture and Meridian Studies | Year: 2013
Cancer is one of the leading causes of death in humans. It is believed that plants can provide potential bioactive compounds for the development of "new leads" to combat cancer and other diseases. The present study focuses on the ability of the different extracts (aqueous, methanol, and chloroform) of the leaves of Zea mays in influencing the process of apoptosis induced by hydrogen peroxide (H2O2) in Hep2 (laryngeal carcinoma) cells. Various apoptosis-related parameters, such as cell viability, morphological changes, nuclear changes, and apoptotic index were characterized. sulforhodamine B and MTT assays were used to quantify the extent of cell death in the group exposed to H2O2, plant extracts, and their combination. Treatment with H2O2 caused cytotoxicity in cancer cells. The administration of leaf extract also caused an increase in the death of cancer cells. Oxidatively stressed cancer cells co-treated with all the Z. mays leaf extracts (except the chloroform extract) demonstrated cytotoxicity on a par with the H2O2-treated groups. This indicated that the aqueous and methanol leaf extracts did not influence the cytotoxic action of H2O2 in the cancer cells. Thus, various apoptosis-related events in Hep2 cells exposed to leaf extract throw light on the potential anticancer activity of the Z. mays leaves. The maximum activity was exerted by the methanolic extract followed by the aqueous and chloroform extracts. © 2013, International Pharmacopuncture Institute.
Sumithra M.,College of Arts and Design |
Raja N.V.,Avinashilingam Deemed University
Man-Made Textiles in India | Year: 2011
Today, eco-friendly Multifunctional finishing of textile has been provided with the consumers increasingly awareness towards the health and hygiene. Consumers worldwide are looking for clothing, which provides greater comfort and remains fresh and odor-free in use. In this paper, an attempt has been made to discuss the importance of herbal finishes to the Denim fabric using Methanolic extracts of Jatropha leaves and Seena Auriculata and Aqueous extract of Euphorbia Hirta by exhaustion method to enhance the multifunctional property. This work will throw more light on the value addition and marketability of the Denim related products.
Sumithra M.,College of Arts and Design |
Raaja N.V.,Avinashilingam Deemed University
Man-Made Textiles in India | Year: 2012
In this article an attempt has been made to approach of developing antimicrobial finishes using natural herbs. The three herbal extracts of ricinus communis, Senna auriculata and Euphorbia were applied on 100 % cotton Denim fabrics directly by using pad dry cure method. The antimicrobial activity of the finished fabrics was assessed against bacteria that normally exist like staphylococcus aureus and Escherichia coli. To enhance the durability of the finished fabric, nano encapsulation of the herbal extracts were performed and the results showed good resistance for microbes even after 30 industrial washes.
Lalitha P.,Avinashilingam Deemed University |
Sivakamasundari S.,Avinashilingam Deemed University
Oriental Journal of Chemistry | Year: 2010
Log P value for 16 vinyl, nitrogen and sulphur heterocycles were calculated using eight computer programs: HyperChem 7.0 (based on atom contributions), XLOGP (based on atom contributions),KowWin (based on atom/fragment contributions),CLOGP (based on fragmentai contributions), ALOGPS 2.1 (based on atom-type electro topological-state indices and neural network modeling), and IA logP (based on atom-type electrotopological-state indices and neural network modeling), miLogP using Molinspiration and MolSoft.The drug likeness has been calculated using Molinspiration and MolSoft programs. Almost all the heterocycles were found to obey Lipinski's rule of 5 for an orally active drug.
Krishnaveni M.V.,Avinashilingam Deemed University |
Amsamani S.,Avinashilingam Deemed University
International Dyer | Year: 2010
The awareness of health and hygiene for consumers has increased the demand for antimicrobial textiles. Whilst in the past It was predominantly technical textiles that had antimicrobial finishes, in particular to protect against bacteria and fungi, nowadays textiles worn close to the body have been developed for a variety of different applications In the field of medicine and hygiene. An antimicrobial finish on fabrics can minimise the transfer of microorganisms on to the wearer by creating a physical barrier. It prevents skin diseases caused by the microorganisms. Various medicinal plants found in nature exhibit excellent antimicrobial properties. A new approach Is made to make textile material antimicrobial using natural extracts on cotton fabrics to cure skin allergies. The 'miracle plant', Indian Acalypha (Kuppivaenl), which Is a commonly available plant in Tamil Nadu, was chosen for the study, which involved the applications of Kuppivaenl-leaf extracts on to cotton fabric by optimising the process conditions and then treating the fabrics with different concentrations. The treated samples were tested for activity as per AATCC 147, AATCC 100 and AATCC 30 agar diffusion test methods. 100% treated fabric was found to be much softer and its washing fastness was found to be better than all the other treated samples. An attempt was also made to assess the healing activity of the Kupplvaenl-treated shirt on skin allergies and rashes. This ecofrlendly antimicrobial finish has significant potential in curing skin diseases and offers excellent scope in forthcoming years.
Raaja N.V.,Avinashilingam Deemed University
Textile Magazine | Year: 2010
An overview of the weaving industry, one of the important sector for Indian textile industry, is presented. During April-December 2008, the cotton textiles including handlooms exports have amounted to $3,765 billion, recording a decline of 11.39 per cent over the exports during the corresponding period of 2007. Indian weaving industry has conventionally been one of the most promising sectors of huge employment. In fact, after agriculture, this industry is the largest provider of work force. Though weaving is one of the important sector for Indian textile industry, it has not been given due attention like spinning sector. Moreover structure of the industry plays, a major rote in making it competitive. Nature of this sector is mainly unorganized. Over 38,00,000 weaving industries have been built throughout the country, and more than 15,00,000 domestic weaving industries have been set up in the North and Eastern parts of the country.
Shanthi E.,Avinashilingam Deemed University |
Sangeetha D.,Avinashilingam Deemed University
Smart Innovation, Systems and Technologies | Year: 2015
Knowledge is the ultimate output of decisions on a dataset. Applying classification rules is one of the vital methods to extract knowledge from dataset. Knowledge in a very distributed approach is derived by combining or fusing these rules. In a very standard approach this may generally be done either by combining the classifiers outputs or by combining the sets of classification rules. In this paper, we tend to do a new approach of fusing classifiers at the extent of parameters using classification rules. This approach relies on the fused probabilistic generative classifiers using multinomial distributions for categorical input dimensions and multivariable normal distributions for the continual ones. These distributions are used to produce results like valid/invalid data, error rate etc. Fusing two (or more) classifiers may be done by multiplying the hyper-distributions of the parameters. The main advantage of this fusion approach is that it requires less time to classify the data and is easily extensible for large dataset. © Springer India 2015.
Shanthi R.,Kumaraguru College of Technology |
Bai G.K.,Avinashilingam Deemed University
Colourage | Year: 2010
Pretreatment of knitted fabrics is essential as it forms the base or all further processing. New alternatives have replaced conventional alkaline scouring and bleaching performed at high temperatures, which cause pollution to environment. This paper discusses the effect of bio pretreatment on lycra cotton weft knits in comparison with chemical pretreatment. It was observed that enzymatic pretreatment resulted in improved properties essential for further processing.