117 research outputs found

    Natural Life Habitats in Ainkurunuru

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    Creature & live richly nature is Sub Conscious in many ways on this earth for billions of Years all living things have lived in harmony with depend on nature in this connection human life and prosperity have come together the environment has arisen on earth over the past few years give the natural grievous of the problems with are due to activities of human’s irregularly. It is an undeniable fact that the environment is irreversibly polluted by human sources. The life of the Sangam people is divided into Kurinji, Mullai, Marutham, Neithal and Palai based on nature. Nature lays the foundation for the smooth life of the people and the emergence of superior cultures. Landscapes that can be seen with the naked eye cause changes in human perceptions. The way of life of the people of the Sangam period was centered on nature and was in harmony with nature. Sangam people considered nature to be a deity. He depended on nature for food, clothing and shelter. This article is about the Natural Life Habitats system of the Ainkurunuru

    Ecology of aquatic organisms in Ainkurunuru

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    No living organism can live on earth without water. Today, 70 percent of water is used for agriculture, 20 percent for industrial work and 10 percent for human consumption worldwide. Fish, crocodile, crab, shrimp etc. were found as aquatic organisms during the Sangam period. They describe the nature of the environment in the manner of food chain, spread, space protection, food collection and storage, and coexistence with the law of nature. In 500, news of aquatic organisms and their spreading into a food chain, compliance with the natural law, food conservation, human use methods and environmental contacts have been explored. This article shows that aquatic organisms lived without any pollution and without loss of life during the Sangam period

    Influence of egg parasitic fungus, Engyodontium aranearum against root knot nematode, Meloidogyne incognita

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    The indigenous egg parasitic fungal isolates, Engyodontium aranearum was evaluated for its nematicidal potential against root knot nematode, Meloidogyne incognita. The study revealed 53.75 per cent egg parasitization by the fungal isolate. Fungal colonies grew over the eggs and fungal hyphae penetrated the egg shells resulting in rupturing of egg shell layers, enzymatic digestion and empty eggs. The fungal culture filtrate was found to inhibit egg hatching by 83.42 per cent and caused upto 91.36 per cent juvenile mortality. This isolate also reduced the attraction of infective juveniles towards tomato root by 79.29 per cent. It seems to be a first report on the antinemic property of the fungus E. aranearum against root knot nematode, M. incognita and its effect was found comparable with Paecilomyces lilacinus which is known as an efficient nematode egg parasitic fungus

    A comparative study of ovulation induction with clomiphene versus clomiphene and bromocriptine in follicular phase of normoprolactinemic PCOS women

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    Background: Hypothalamic pituitary axis dysfunction accounts for majority of ovulatory disorders and a predominant cause of women with PCOS. There is a dopaminergic control on gonadotropin secretion. In normoprolactinemic PCOS patients transient rise in serum prolactin can be observed during the late follicular phase and luteal phase. So, the aim of the study is to know the effect of bromocriptine and clomiphene in ovulation induction as compared to clomiphene alone.Methods: Based on the various inclusion and exclusion criteria, seventy patients were randomly assigned into two groups. The patients in the first group were treated with tablet of clomiphene citrate (100 mg) from day 3 to day 7 of each cycle. The patients in the other group received 100mg of clomiphene citrate from day 3 to day 7 of each cycle and tablet bromocriptine (2.5 mg) from day5 to day14. Both groups were followed up with follicular study for three months. At the end of the three cycles the hormonal statuses of the patients were determined.Results: There was no significant difference found in other hormones like serum FSH, LH and estradiol in both groups. The follicular diameter and the average endometrial thickness was increased to a significant level in the CC+Bcrt group as compared to the CC group. The rate of ovulation and pregnancy rate was higher in combination group.Conclusions: Bromocriptine with clomiphene in follicular phase has an advantage of improving follicular diameter, endometrial thickness and hence ovulation and pregnancy rates.

    Phylogenetic relationships of three new microsporidian isolates from the silkworm, Bombyx mori

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    The pathogenicity, mode of transmission, tissue specificity of infection and the small subunit rRNA (SSU-rRNA) gene sequences of the three new microsporidian isolates from the silkworm Bombyx mori were studied. Out of the three, NIK-2r revealed life cycle features and SSU-rRNA gene sequence similar to Nosema bombycis, suggesting that it is N. bombycis. The other two, NIK-4m and NIK-3h, differed from each other as well as from N. bombycis. NIK-4m was highly pathogenic and did not show any vertical transmission, in accordance with the apparent lack of gonadal infection, whereas NIK-3h was less pathogenic and vertical transmission was not detected but could not be excluded. Phylogenetic analysis based on SSU-rRNA gene sequence placed NIK-3h and NIK-4m in a distinct clade that included almost all the Vairimorpha species and Nosema species that infect lepidopteran and non-lepidopteran hosts, while NIK-2r was included in a clade containing almost all the Nosema isolates that infect only lepidopteran hosts. Thus, we have presented molecular evidence that one of the three isolates is in fact the type species N. bombycis, while the other two isolates are Vairimorpha spp. There was distinct separation of microsporidian isolates infecting only lepidopteran hosts and those infecting lepidopteran and non-lepidopteran hosts, reflecting possible co-evolution of hosts and microsporidian isolates

    Extraction and characterization of fish visceral protease from Carangoides malabaricus and its potential application in detergent and pharmaceutical industries.

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    Fish viscera have innumerable potential applications being the rich source of digestive enzymes, especially proteases. In order to assess the bio prospecting of fish processing wastes as natural wealth to obtain value added bioactive compounds, the visceral wastes of Carangoides malabaricus were characterized. This study involves the characterization of crude visceral protease extract from C. malabaricus and its potential application as a destainer. The optimum activity and stability of the crude visceral protease was observed at pH 9.0 and 50°C. This alkaline proteolytic crude extract was then tested for its potential application as destainer and it showed better stain removing efficiency. Characterization studies revealed that metal ions like Calcium chloride, surfactants like Tween 20 and SDS, inhibitors like PMSF influenced the activity and stability of the crude Visceral Protease. The present study also inferred that, crude visceral protease enzyme from C. malabaricus along with shrimp shell hydrolysate displayed higher DPPH radical scavenging activity (58.11%), Reducing activity (1.89 mg/ml) and Chelating ability (73.6%). As a whole, this study confirmed possible application of Visceral Protease from C. malabaricus in detergent and pharmaceutical industries

    Adaptive Wind Driven Optimization based Energy Aware Clustering Scheme for Wireless Sensor Networks

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    Wireless Sensor Networks (WSNs) are utilised in a variety of applications due to their capacity to capture and transmit environmental data. Clustering has emerged as an efficient method for improving energy efficiency in WSNs. To resolve these issues, we propose an Adaptive Wind Driven Optimisation based Energy Aware Clustering Scheme (AWDO-EACS) for WSNs. The AWDO-EACS model presents an extended form of the Wind Driven Optimisation (WDO) algorithm, designated AWDO, with optimised inherent term values. The proposed model takes into account multiple objectives, such as energy consumption, distance, and end-to-end latency, in order to achieve superior energy efficiency and an extended network lifetime. To validate the efficacy of the AWDO-EACS model, extensive experiments with varying node counts were carried out. In terms of network stability, energy efficiency, end-to-end latency, packet delivery ratio, throughput, packet loss rate, and network lifetime, the results demonstrate that the AWDO-EACS outperforms contemporary clustering strategies. Specifically, the AWDO-EACS obtained a significant increase in energy efficiency, with a 27.35 percent improvement over existing clustering techniques for 20 nodes and an 83.41 percent improvement for 100 nodes. In addition, the end-to-end latency was considerably reduced, with a 96-round lifetime for 20 nodes and a 74-round lifetime for 100 nodes, compared to 37 and 20 rounds, respectively, for GA-LEACH and MW-LEACH. In addition, the AWDO-EACS demonstrated superior packet delivery performance, with a 99.32% delivery ratio for 100 nodes, eclipsing the 76.90% and 82.65% of GA-LEACH and MW-LEACH, respectively. Moreover, the AWDO-EACS model demonstrated a remarkably low packet loss rate of 0.68 percent for 100 nodes, compared to 23.10 percent for GA-LEACH and 17.35 percent for MW-LEACH. The effectiveness of the proposed AWDO-EACS model in enhancing the overall performance of WSNs is demonstrated

    Using Processing Digital Image Methods for Documenting Tumorogenic Breast Disease Cells

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    We identified and isolated CD44-CD24/low Lineage tumor cells in eight of nine individuals. In mice, tumors might grow from 100 cells with these traits, but not from thousands with other phenotypes. On each serial passage, tumorigenic cells contributed to the tumor’s CD44-CD24/low Lineage tumor-causing cell as well as phenotypically variable no tumor-causing cell groupings. They are called tumorigenic or cancer-initiating cells because they constantly create malignancies, unlike additional cancer cell types. This work proposes a unique approach to identify breast asymmetry as well as tumorigenic cancer cells utilizing extremely efficient digital image processing methods that are not previously used in this research field. Chi-square tests and t-tests were used for categorical as well as continuous data. All p-values under 0.05 proved significant
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