The Doctrine of oral Vocalism in the Worship of Lord Muruga found in Sangam Literature

When we think of how the literature of Classic Tamil came into our hands across the river of time, we are amazed. Before the appearance of the script, Early Tamils would have verbally passed on to others what they had thought. One must have passed through the flood of time spreading from one person to another, from one to another, to another. All the thoughts, songs, and conversations of the people should have been expressed verbally until the palm leaf became available as stationery. This principle applies to all the language literature that originated in the world. We can see that when oral messages are transmitted from person to person, the repetition of the word or phrase, the elements of the repetition of stories and phrases that reflect the local culture and life, and the harmony and enrichment of the local culture and life, are constantly being studied. It would not be an exaggeration to say that those who saved it from spilling until it found a place in the palm leaves, the sharp memory of the people who converse, and the expression of the core, the peel, and the first objects of the circulating land. Thus, the folk elements found in the Sangam literature songs sung in the praise of Lord Muruga are matched with the folk tradition. The social context of folk songs, the characters of the storytellers, the time with the participation of the listening audience, the structure of the story events that take place in relation to the location, the identities of the storytellers, the relationships in which the narrator and the audience who listen to the story co-participate, the context in which the mythological elements can be told, the opportunity to perform, etc., are included in the Sangam literature as folk elements

A Study of Scientific Factors in Lord Murugan Worship

Worshipping God is the treasury of human society. This article is on the basis of folk events found in Palani Murugan worship. In Murugan worship, people's culture, customs and lifestyles become the object of study. This article brings forth the rituals that takes place during Lord Murugan festivals, such as dance, songs, music, taking Kaavadi, paying penance to lord, unit piercing and so on. All this customs and rituals of the people are explored here in a psychological manner. This article documents the scientific factors involved in unit piercing and the benefits of unit piercing

U-Capkidnets++-: A Novel Hybrid Capsule Networks with Optimized Deep Feed Forward Networks for an Effective Classification of Kidney Tumours Using CT Kidney Images

Chronic Kidney Diseases (CKD) has become one among the world wide health crisis and needs the associated efforts to prevent the complete organ damage. A considerable research effort has been put forward onto the effective seperation and classification of kidney tumors from the kidney CT Images. Emerging machine learning along with deep learning algorithms have waved the novel paths of tumor detections. But these methods are proved to be laborious and its success rate is purely depends on the previous experiences. To achieve the better classification and segmentation of tumors, this paper proposes the hybrid ensemble of visual capsule networks in U-NET deep learning architecture and w deep feed-forward extreme learning machines. The proposed framework incorporates the data-preprocessing powerful data augmentation, saliency tumor segmentation (STS) followed by the classification phase. Furthermore, classification levels are constructed based upon the feed forward extreme learning machines (FFELM) to enhance the effectiveness of the suggested model .The extensive experimentation has been conducted to evaluate the efficacy of the recommended structure and matched with the other prevailing hybrid deep learning model. Experimentation demonstrates that the suggested model has showed the superior predominance over the other models and exhibited DICE co-efficient of kidney tumors as high as 0.96 and accuracy of 97.5 %respectively

ICKSC :An Efficient Methodology for Predicting Kidney Stone From CT Kidney Image Dataset using Conventional Neural Networks

Chronic Kidney Diseases (CKD) has become one among the world wide health crisis and needs the associated efforts to prevent the complete organ damage. A considerable research effort has been put forward onto the effective separation and classification of kidney Stones from the kidney CT Images. Emerging machine learning along with deep learning algorithms have waved the novel paths of kidney stone detections. But these methods are proved to be laborious and its success rate is purely depends on the previous experiences. To achieve the better classification of kidney stone, this paper proposes a novel Intelligent CNN based Kidney Stone Classification (ICKSC) system which is based on transfer learning mechanism and incorporates 8 Layered CNN, densenet169_model, mobilenetv2_model, vgg19_model and xception_model. The extensive experimentation has been conducted to evaluate the efficacy of the recommended structure and matched with the other prevailing hybrid deep learning model. Experimentation demonstrates that the suggested model has showed the superior predominance over the other models and exhibited better performance in terms of training loss, accuracy, recall and precision

Enthralling genetic regulatory mechanisms meddling insecticide resistance development in insects: role of transcriptional and post-transcriptional events

Insecticide resistance in insects severely threatens both human health and agriculture, making insecticides less compelling and valuable, leading to frequent pest management failures, rising input costs, lowering crop yields, and disastrous public health. Insecticide resistance results from multiple factors, mainly indiscriminate insecticide usage and mounted selection pressure on insect populations. Insects respond to insecticide stress at the cellular level by modest yet significant genetic propagations. Transcriptional, co-transcriptional, and post-transcriptional regulatory signals of cells in organisms regulate the intricate processes in gene expressions churning the genetic information in transcriptional units into proteins and non-coding transcripts. Upregulation of detoxification enzymes, notably cytochrome P450s (CYPs), glutathione S-transferases (GSTs), esterases [carboxyl choline esterase (CCE), carboxyl esterase (CarE)] and ATP Binding Cassettes (ABC) at the transcriptional level, modification of target sites, decreased penetration, or higher excretion of insecticides are the noted insect physiological responses. The transcriptional regulatory pathways such as AhR/ARNT, Nuclear receptors, CncC/Keap1, MAPK/CREB, and GPCR/cAMP/PKA were found to regulate the detoxification genes at the transcriptional level. Post-transcriptional changes of non-coding RNAs (ncRNAs) such as microRNAs (miRNA), long non-coding RNAs (lncRNA), and epitranscriptomics, including RNA methylation, are reported in resistant insects. Additionally, genetic modifications such as mutations in the target sites and copy number variations (CNV) are also influencing insecticide resistance. Therefore, these cellular intricacies may decrease insecticide sensitivity, altering the concentrations or activities of proteins involved in insecticide interactions or detoxification. The cellular episodes at the transcriptional and post-transcriptional levels pertinent to insecticide resistance responses in insects are extensively covered in this review. An overview of molecular mechanisms underlying these biological rhythms allows for developing alternative pest control methods to focus on insect vulnerabilities, employing reverse genetics approaches like RNA interference (RNAi) technology to silence particular resistance-related genes for sustained insect management

Growth of the Indian white prawn Penaeus indicus in relation to stocking density

One month old seed of Penaeus indicus were stocked in 4 identical ponds at stocking densities of SJm*, 10/m", 25/m» and 50/ms and after 110 days they had attained a size of 128 mm 108 mm, 88 mm and 64 mm respectively. There was a clear inverse relationship between stocking density and growth Growth was comparatively very fast during the first month and a half and then slowed down considerably in all the ponds. The implications of the observed growth patterns are discussed

ADAM17 substrate release in proximal tubule drives kidney fibrosis

Kidney fibrosis following kidney injury is an unresolved health problem and causes significant morbidity and mortality worldwide. In a study into its molecular mechanism, we identified essential causative features. Acute or chronic kidney injury causes sustained elevation of a disintegrin and metalloprotease 17 (ADAM17); of its cleavage-activated proligand substrates, in particular of pro-TNFα and the EGFR ligand amphiregulin (pro-AREG); and of the substrates\u27 receptors. As a consequence, EGFR is persistently activated and triggers the synthesis and release of proinflammatory and profibrotic factors, resulting in macrophage/neutrophil ingress and fibrosis. ADAM17 hypomorphic mice, specific ADAM17 inhibitor-treated WT mice, or mice with inducible KO of ADAM17 in proximal tubule (Slc34a1-Cre) were significantly protected against these effects. In vitro, in proximal tubule cells, we show that AREG has unique profibrotic actions that are potentiated by TNFα-induced AREG cleavage. In vivo, in acute kidney injury (AKI) and chronic kidney disease (CKD, fibrosis) patients, soluble AREG is indeed highly upregulated in human urine, and both ADAM17 and AREG expression show strong positive correlation with fibrosis markers in related kidney biopsies. Our results indicate that targeting of the ADAM17 pathway represents a therapeutic target for human kidney fibrosis

In-vitro screening of amylase producing halophilic bacteria isolated from seawater

In this study, eight halobacterial strains were isolated from seawater. Among the eight isolates, four strains grew well in nutrient medium with 40 g/100 mL of sodium chloride concentration. Amongst all, HA01 was found to show highest amylase activity than others. Highest amylase producing bacteria, i.e. HA01 was subjected for 16S rRNA sequence based identification and it was found to be Aquabacterium sp. strain AS02. The organism showed optimal amylase production at pH 7 and temperature of 42 °C and NaCl concentration of 3 M. The two substrates (banana peel and potato peel) were used for the amylase production among which banana peel showed that highest amylase activity of 6.12 U/mL than potato peel (4.27 U/mL)

उत्तरी तमीलनाडु के तटीय क्षेत्रों में उपलब्ध महाचिंगट संपदा और उनकी जल कृषि की संभावनाऍं

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Effect of Fines on Strength of Granular Soil Reinforced with Geosynthetics

Geosynthetics (GSN) are polymeric products used in Geotechnical Engineering for the purpose of improving the properties of the insitu soil. In this project, experimental work was carried out to determine the influence of presence of fines within granular soil on the CBR strength of soil reinforced with different GSN (Woven geotextile, Non-woven geotextile, Geogrid and Geonet). Two types of granular soil in disturbed state containing varying percentage of fines were selected from in and around the Chennai region. Soil type 1 contains high fines of about 40% (SHF) whereas soil type 2 contains less fines of about 7% (SLF). Unsoaked CBR (U-CBR) test was carried on unreinforced soil and on soil reinforced with different GSN placed at varying depths of D/5, 2D/5, 3D/5 and 4D/5 from top of soil (D is the total depth of soil), to determine the ideal depth of placement of GSN within SHF and SLF. Soaked CBR (S-CBR) test was carried on unreinforced soil and on soil reinforced with different GSN placed at an ideal depth determined from U-CBR test. Based on the experimental results, ideal depth of placement of GSN for SHF and SLF was found to be D/5 and 3D/5 respectively from top of the soil and Geogrid was found to be the best geosynthetic for reinforcing the granular soil containing high fines and less fines