3,443 research outputs found

    Rituals shown by the novel 'Oothi Eriyappatatha Muttaikal (Unthrown Erudite Eggs)'

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    Rituals are closely related to man. It is not easy to separate rituals in man's life. It was the man who created the rituals. Even a man who does not believe in religion follows rituals. All the events of man from birth to death are woven through rituals. Rituals pave the way from having a healthy baby to going to heaven with lifeless body contentment. Rituals are followed from time to time so that important events in human life do not take place as normally as other events, and they should bring memorable memories. There is no place for right, wrong, truth, and falsehood here. Such rituals vary from group to group, from race to race, and since rituals are followed in all societies, the knowledge of other religious rituals is of interest to all. Literature also compensates for this interest in itself. Thus, the thesis deals with the rituals of the Muslim people in the novel 'Oothi Eriyappatatha Muttaikal’ written by Meeran Meideen

    Ethnographic Prespective of the Novel ‘Meenkaara Theru’

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    Ethnography is a tool for identifying the people belonging to a particular society and a particular ethnic group. This article is an ethnographical study of the Muslim people in 'Meenkara Theru’ written by 'Keeranur Zakirraja'. This article overall examines the basic needs of the Muslim people such as the food they eat, the clothes they wear, the things they carry, their living arrangements, the accessories they use, the customs, beliefs, rituals they follow, the way they worship God, the problems they face, the divisions found among them, occupations, their administrative system, the status of women and so on. In this way, it can be said that this article identifies the unique characteristics of the Muslim people

    Ecological Effects of Pesticides

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    NASICON Materials: Structure and Electrical Properties

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    Unsteady Finite Amplitude Convection of Water-Copper Nanoliquid in High-Porosity Enclosures

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    Unicellular Rayleigh–Bénard convection of water–copper nanoliquid confined in a high-porosity enclosure is studied analytically. The modified-Buongiorno–Brinkman two-phase model is used for nanoliquid description to include the effects of Brownian motion, thermophoresis, porous medium friction, and thermophysical properties. Free–free and rigid–rigid boundaries are considered for investigation of onset of convection and heat transport. Boundary effects on onset of convection are shown to be classical in nature. Stability boundaries in the R1*–R2 plane are drawn to specify the regions in which various instabilities appear. Specifically, subcritical instabilities' region of appearance is highlighted. Square, shallow, and tall porous enclosures are considered for study, and it is found that the maximum heat transport occurs in the case of a tall enclosure and minimum in the case of a shallow enclosure. The analysis also reveals that the addition of a dilute concentration of nanoparticles in a liquid-saturated porous enclosure advances onset and thereby enhances the heat transport irrespective of the type of boundaries. The presence of porous medium serves the purpose of heat storage in the system because of its low thermal conductivity

    Hybrid approach for disease comorbidity and disease gene prediction using heterogeneous dataset

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    High throughput analysis and large scale integration of biological data led to leading researches in the field of bioinformatics. Recent years witnessed the development of various methods for disease associated gene prediction and disease comorbidity predictions. Most of the existing techniques use network-based approaches and similarity-based approaches for these predictions. Even though network-based approaches have better performance, these methods rely on text data from OMIM records and PubMed abstracts. In this method, a novel algorithm (HDCDGP) is proposed for disease comorbidity prediction and disease associated gene prediction. Disease comorbidity network and disease gene network were constructed using data from gene ontology (GO), human phenotype ontology (HPO), protein-protein interaction (PPI) and pathway dataset. Modified random walk restart algorithm was applied on these networks for extracting novel disease-gene associations. Experimental results showed that the hybrid approach has better performance compared to existing systems with an overall accuracy around 85%

    Awareness of labour analgesia among antenatal women in semi urban area

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    ABSTRACTBackground: Women’s experience of pain during delivery varies greatly. Various pharmacological and non- pharmacological methods of labour analgesia are available. In spite of availability of various methods, even now women deliver with severe pain without adequate pain relief. The aim of the study was to determine the awareness of pregnant women about labour analgesia in semi urban setting.Methods: This cross sectional study was done among 256 pregnant women attending antenatal out-patient in obstetrics and gynecology department. Antenatal women who were planned for elective cesarean section were excluded from the study.Results: Out of 256 women 89.8% had no idea about usage of pain relief in labour. Only 10.2% had some idea about pain relief in labour. In previous delivery, 38.9% experienced severe pain, 58.4% experienced moderate pain and only 2.7% experienced mild pain. Some form of analgesia was administered to 89.9% of women. In spite of analgesia being given for majority, more number of women experienced moderate and severe pain (97.3%). On analyzing various factors, order of pregnancy, income and occupational status had statistically significant influence on knowledge about labour analgesia.Conclusions: There is a lack of knowledge among pregnant women about pain relief. Due to hectic work in labour room setting in India, it may be difficult to provide one to one care. Non-pharmacological methods should be popularized for pain relief. Usage of some form of pain relief will help in improving quality of care during labour and better outcome of mother and baby

    Amoxicillin induced toxic epidermal necrolysis

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    Toxic epidermal necrolysis (TEN) is a rare life-threatening adverse drug reaction associated with mucocutaneous eruptions and peeling of skin (sloughing) mostly caused by drugs like sulphonamides, beta lactams, carbamazepine and non-steroidal anti-inflammatory drugs (NSAIDs). Amoxicillin is a broad spectrum, bactericidal, Beta-lactam antibiotic used in treatment of various infections. Here by we have reported the case of amoxicillin induced severe toxic epidermal necrolysis. A Patient admitted in the hospital with the symptoms of epidermal sloughing that resulted in bare dermis as he received Amoxicillin drug for his diagnosis of fever. After clear examination TEN was confirmed and suspected with the cause due to Amoxicillin. The drug was stopped and patient was treated with other drugs for symptomatic cure. The patient was recovered from his condition and improved significantly
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