1,316 research outputs found

    Kurinjippaatuu From an Aesthetic Point of View

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    The Sangam literature has divided human life into Agam and Puram. Agam's life is described by Agam songs and their heroic life by Puram songs. The people of the Sangam age organized their lives with land first. In the nature of the five kinds of lands, the people lived on the basis of themes such as their village, deity, occupation, entertainment, etc. The Agam books have told us about love, illicit marriage, virtuous marriage, etc. Sangam literature is a rich repository of life ideas. These have made the life, desires, and feelings of the people of the Sangam age a perfect poem. In the Agam songs of the Sangam literature, there are innumerable moral concepts such as love, domesticity, chastity, etc., which stand as a moral touch to the woman towards her friend, her friend towards the nurse, the nurse towards the mother, and the mother towards the father, as well as to the brothers. When approached from an aesthetic point of view, they are enjoyable. Thus, the purpose of this article is to examine the aesthetic aspects of Kurinjippaattu

    The Empirical Knowledge of Farmers and Today's Multi-Technical Skills

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    Sangam Literature is the repository of the thoughts and deeds of the ancient Tamils. On the basis of that, it is not possible to count the many known achievements made by the intelligence of the ancient Tamils from that day till today. In one of its varieties, organic farming, the Tamilian is a parallel Tamilian. All of agrarian man's intelligence and rationality were scientific. Our agronomists are the ones who have worked empirically on the signals of nature, birds, and animals. They have an intelligence that transcends reason. Everything related to science is being implemented in our motherland. In the tremendous development of our mother tongue, the ancient Tamils have clearly established the science, politics, religion, finance, judicial medicine, multidisciplinary civilization, and culture of the ancient Tamils

    In vitro production of Kaempferia galanga (L.)- an endangered medicinal plant

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    Kaempferia galanga is an important medicinal plant that is facing threat of extinction owing to indiscriminate and unsustainable harvesting in the wild. Conventional breeding is difficult in this plant, and in vitro multiplication is important to conservation and propagation. Tissue culture techniques are useful for ex situ conservation of rare, endemic or threatened plant species. An efficient protocol has been established for rapid production of plantlets using rhizome tip and lateral bud of the pot cultured plant. The explants were cultured on MS medium with various combinations of 6-benzyladenine (BA), α-naphthalene acetic acid (NAA), indole-3-butric acid (IBA) and indole-3-acetic acid (IAA) at concentrations ranging from 0.1 to 3.0 mg/l. High-frequency organogenesis and multiple shoot regeneration were induced from rhizome explants on MS medium supplemented with 2.0 mg/l of BA and 0.2 mg/l of NAA. Micro-shoots were isolated from the in vitro proliferated cluster of shoots and they produced roots on half strength MS medium supplemented with 1.0 mg/l of IBA. The regenerated plantlets were transferred to plastic pots for hardening in a mixture containing red soil, sand and vermiculate(1:1:1) ratio and established on the soil with 81% of success

    In silico analysis of the efficacy of some natural compounds as antituberculosis agents

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    207-213Tuberculosis (TB) remains a disease of global importance with approximately two million deaths annually worldwide. Effective treatment of TB has been hampered by the emergence of drug resistant strains of Mycobacterium tuberculosis. Natural products have a proven global history of treating TB diseases and ailments. Available vast reservoir of chemically diverse natural products that provide new templates for drug design can be scrutinized and the most efficient may be chosen by molecular docking studies with the TB proteins. In the present study, an attempt has been made to find out a potential natural product to inhibit M. tuberculosis – protein kinase B (PknB) protein by molecular docking method. Docking has been performed for around 40 natural products against M. tuberculosis – PknB protein target to determine their potentiality against TB diseases. The anti-TB ability has been analysed in terms of binding energy. The results indicate that 80% of the natural products (B.E ≥ -7 kcal/mol) under study, exhibit good anti-TB activity. It is known that most of the natural product under study is found to possess greater binding activity than that of the conventional anti-TB drugs

    Utilization of liquid medium for rapid micropropagation of Stevia rebaudiana Bertoni

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    Liquid shoot culture of Stevia rebaudiana Bertoni in MS medium containing BAP (1.5 mg/l) and IAA (0.5 mg/l) was developed and evaluated in relation to shoot multiplication, on average 37 new shoots per explants were obtained within 3 week. Shoot lets were regenerated from nodal explants of stevia through axillary shoot proliferation. For rooting different concentrations of IAA, IBA and NAA were used and highest rooting percentage (63%) was recorded on MS medium with IAA (1.0 mg/l). The rooted plantlets were hardened and successfully established

    A CLINICAL STUDY OF MUSTA (CYPERUS ROTUNDUS LINN.) IN HYPERLIPIDAEMIA

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    Hyperlipidaemia is a metabolic disorder in population diagnosed by altered levels of Lipoproteins, Cholesterol and Triglycerides in plasma. This results deposition of lipids especially esterified cholesterol in the wall of arteries resulting in the narrowing and blockage of the arteries leading to heart diseases and other diseases such as cerebrovascular disease, renal disease, liver disease and peripheral vascular disease. The present work focused on comparative analysis of anti-hyperlipidaemic profile of Musta (Cyperus rotundus Linn.) in Male and female patients. The patients suffering from Hyperlipidaemia and its related disorders like non-insulin dependent diabetes etc. were divided into two groups, Group A confined to male and Group B confined to female. Each group contains 15 patients. All the patients were advised to take 3 gm powdered Musta rhizome in two or three divided doses for a period of 45 days. After treatment, Musta rhizome powder showed more significant anti-hyperlipidaemic activity in males than females. The significance in males total cholesterol (p<0.05), HDL (p<0.05), VLDL (p<0.05), triglycerides (p<0.05) is more than that of females VLDL (p>0.05), triglycerides (p>0.05). It is observed that in group A 40% patients got complete relief, 6.67 % patients got marked relief, 33.33% patients got moderate relief and 20 % patients got mild relief. Similarly, in group B patients 06.67% patients got complete relief, 6.67 % patients got marked relief, 53.33% patients got moderate relief and 33.33 % patients got mild relief

    Big Data Clustering Algorithm and Strategies

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    In current digital era extensive volume ofdata is being generated at an enormous rate. The data are large, complex and information rich. In order to obtain valuable insights from the massive volume and variety of data, efficient and effective tools are needed. Clustering algorithms have emerged as a machine learning tool to accurately analyze such massive volume of data. Clustering is an unsupervised learning technique which groups data objects in such a way that objects in the same group are more similar as much as possible and data objects in different groups are dissimilar. But, traditional algorithm cannot cope up with huge amount of data. Therefore efficient clustering algorithms are needed to analyze such a big data within a reasonable time. In this paper we have discussed some theoretical overview and comparison of various clustering techniques used for analyzing big data

    Determining the Factors for Analytical Competencies in Mitigating Employees Resilience: An Empirical Examination

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    The purpose of the study is to know the employees perception about analytical competencies. In order to get employment opportunities’ in the recent corporate world it was important to be updated with better skills and knowledge, which will help the employees to get better employment opportunities in the growing job market. However, we have attempted to know the student perception about their opinion over the statement and how they think it will help them to grow in their career for better employment opportunities. We also attempted to know that what they think about the best way to enhance their analytical competencies. We have done this through focused group interviews with the employees to explore the difference between the academics and the practical reality and their opinions and suggestions over the employability to cope up with the reality. From this study we find that there is a need of a better communication about the various skills and technological improvements which can help them to enhance their analytical competencies

    Feature Extraction Techniques for Human Emotion Identification from Face Images

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    Emotion recognition has been one of the stimulating issues over the years due to the irregularities in the complexity of models and unpredictability between expression categories. So many Emotion detection algorithms have developed in the last two decades and still facing problems in accuracy, complexity and real-world implementation. In this paper, we propose two feature extraction techniques: Mouth region-based feature extraction and Maximally Stable Extremal Regions (MSER) method. In Mouth based feature extraction method mouth area is calculated and based on that value the emotions are classified. In the MSER method, the features are extracted by using connecting components and then the extracted features are given to a simple ANN for classification. Experimental results shows that the Mouth area based feature extraction method gives 86% accuracy and MSER based feature extraction method outperforms it by achieving 89% accuracy on DEAP. Thus, it can be concluded that the proposed methods can be effectively used for emotion detection
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