Thirumoolarin Thirumanthira Thiruvarutkaatchi

This article looks at the various street game of the lord through the thirumandra Thiruvarut scenario. The essence of this article is to know the greatness of Siva, Siddhu, Siddhu games through Thirumanthiram. Through this article, the Principles of the life Style, Yoga, Ethical, and Piety which Thirumoolar illustrates through three thousand songs are researched. Thirumoolar’s Thirumandhiram (Patham Thirumurai) is a part of Panniru Thirumurai. This book includes many divine play of Lord Shiva and divine appearance of god to his devotees. A review of this book reveals the spiritual faith of Thirumoolar in Lord Shiva. The aim of this paper is to tell about spiritualism of Thirumoolar and his extreme belief in the mantra “OM NAMA SHIVAYA” to blend his soul with the supreme power. In Thirumanthiram, Thirumoolar has mentioned about Shivam, Bhathi, Yoga, Meditation, Shakthi in human physiology, Maya, Prayers, Belief in god, method of worshipping god. He categorized all these characteristics into science, psychology, spiritualism and exchange of soul from one body to another. he explained the presence of Lord Shiva in living and non-living things, blending of spiritualism with psychology, attitude of human beings towards spiritualism. Thirumanthiram insisted that the great five letters mantra “OM NAMA SHIVAYA” covers the entire universe with love and affection of Lord Shiva

Integrins Are the Necessary Links to Hypertrophic Growth in Cardiomyocytes

To compensate for hemodynamic overload of the heart, an event which stretches the myocardium, growth and survival signaling are activated in cardiac muscle cells (cardiomyocytes). Integrins serve as the signaling receptors of cardiomyocytes responsible for mechanotransduction toward intracellular signaling. The main integrin heterodimers on the cardiomyocyte surface are α5β1 and αvβ3, and elimination of either β1 or β3 integrins impedes pressure-induced hypertrophic signaling and leads to increased mortality. The growth signaling pathways downstream of β1 and β3 integrins are well characterized. However, new integrin pathways responsible for inhibiting apoptosis induced by hemodynamic overload are emerging. β1 and β3 integrins activate differential survival signaling, yet both integrins initiate survival signaling downstream of ubiquitination and the kinase pathway including phosphoinositol-3-kinase (PI3K)/Akt. Further characterization of these integrin-signaling mechanisms may lead to drug targets to prevent decompensation to heart failure

Agrobacterium-mediated transformation of White Ponni, a non-basmati variety of indica rice (Oryza sativa L.)

We report successful Agrobacterium-mediated transformation of a popular rice variety White Ponni, a non-basmati indica rice (Oryza sativa L.). Scutellumderived calluses of White Ponni were transformed with Agrobacterium strain LBA4404 (pSB1) harbouring the binary vector pMKU-RF2 with rice chi11 gene. Five independent transgenic White Ponni plants were generated from hygromycin-resistant calluses. Stable integration of the transgene was confirmed and copy numbers were determined by Southern analysis. Among the five plants, four possessed single-copy T-DNA integration events while one was found to have two integrated copies of T-DNA. Western analysis revealed a higher level of chitinase accumulation in all the five T0 plants. Progeny analysis of T0 plants confirmed the inheritance of the transgene to the next generation

Are secondary forests second-rate? Comparing peatland greenhouse gas emissions, chemical and microbial community properties between primary and secondary forests in Peninsular Malaysia

Tropical peatlands are globally important ecosystems with high C storage and are endangered by anthropogenic disturbances. Microbes in peatlands play an important role in sustaining the functions of peatlands as a C sink, yet their characteristics in these habitats are poorly understood. This research aimed to elucidate the responses of these complex ecosystems to disturbance by exploring greenhouse gas (GHG) emissions, nutrient contents, soil microbial communities and the functional interactions between these components in a primary and secondary peat swamp forest in Peninsular Malaysia. GHG measurements using closed chambers, and peat sampling were carried out in both wet and dry seasons. Microbial community phenotypes and nutrient content were determined using phospholipid fatty acid (PLFA) and inductively-coupled plasma mass spectrometry (ICP-MS) analyses respectively. CO2 emissions in the secondary peat swamp forest were > 50% higher than in the primary forest. CH4 emission rates were ca. 2 mg m−2 h−1 in the primary forest but the secondary forest was a CH4 sink, showing no seasonal variations in GHG emissions. Almost all the nutrient concentrations were significantly lower in the secondary forest, postulated to be due to nutrient leaching via drainage and higher rates of decomposition. Cu and Mo concentrations were negatively correlated with CO2 and CH4 emissions respectively. Microbial community structure was overwhelmingly dominated by bacteria in both forest types, however it was highly sensitive to land-use change and season. Gram-positive and Gram-negative relative abundance were positively correlated with CO2 and CH4 emissions respectively. Drainage related disturbances increased CO2 emissions, by reducing the nutrient content including some with known antimicrobial properties (Cu & Na) and by favouring Gram-positive bacteria over Gram-negative bacteria. These results suggest that the biogeochemistry of secondary peat swamp forest is fundamentally different from that of primary peat swamp forest, and these differences have significant functional impacts on their respective environments

Environmental impacts as affected by different oil palm cropping systems in tropical peatlands

Tropical peatlands are globally important for their high carbon storage and unique biodiversity, but are currently under severe threat in South East Asia from expansion of oil palm plantations. A large part of this expansion in Peninsular Malaysia arises from small-holder oil palm plantations that follow varied cropping practices, yet their impact on the environment is largely unexplored. This research aimed to study and evaluate the environmental and belowground microbial impacts of different smallholder cropping systems relative to forested peatlands in North Selangor, Peninsular Malaysia. Specifically, GHG measurements using closed chambers, and peat sampling were carried out in both wet and dry seasons. Microbial phenotypic community structure was determined using phospholipid fatty acid (PLFA) analysis. Relative to forested peatlands, the agricultural plantations had increased pH, temperature and bulk density, decreased organic content, and peat moisture, with a pineapple intercropping site as the only exception. These effects were most pronounced in 2nd generation mono-cropping systems. Soil microbial community structure, dominated by Gram-positive bacteria under all land-use types, differed significantly between agricultural sites and forest, and also showed significant seasonal variation. There was a general increase in non-specific fatty acids and a decrease in Gram-positive fatty acids in agricultural sites from forest, however microbial community structure were similar in most agricultural sites. CO2 emissions were greatest at the forest site and showed no seasonal variations, however most of the forest CO2 emissions were most likely due to high autotrophic contribution from roots. CH4 emissions were under 1 mg m−2 h−1 for all the agricultural sites, while forest peat surface absorbed similar low quantity of CH4. Overall, the changes in peat properties and loss of C was greatest in the 2nd generation mono-cropping, while the intercropping systems ameliorated these effects by maintaining most of the forest peat organic content and causing relatively smaller changes in pH, moisture and bulk density. It is clear that oil palm intercropping have an ameliorating effect on environmental impacts caused by the expansion of oil palm plantations into peatlands

On the recent Introduction of outboard engines along the Coromandal coast

Introduction of outboard engines along the Coromandal coast and Pondicherry were studied. A total number of 232 outboard engines have been introduced at 16 fish landing centres in the South Arcot District. The outboard engines are fitted exclusively to catamarans with a length range of 8-10 m operating mainly gill nets, Pannu valai and Mani valai and the encircling bag-net, Eda valai

Pulmonary tuberculosis masking lung cancer – A case report

AbstractPulmonary Tuberculosis can co-exist with lung malignancy masking the underlying disorder leading to delay in diagnosis and management. Here we present an interesting case of a 60 year old man who on initial presentation was diagnosed with tuberculosis but on nonresponse to therapy and investigation was found to have an underlying lung malignancy

'Thoorivala' and its multi use

Thoorivalai' seems to be profitable as the man power used is less and catch landed is high. They get a large quantity of fish with a minimum of 600 kg to a maximum of 800 kg. The fishermen using this type of fishing at Kadathukkuppam (Tanjore Dt.) got a maximum of 700 kg fish by putting 9 hauls and engaging 10 persons a unit during July, 1988

Is intercropping an environmentally-wise alternative to established oil palm monoculture in tropical peatlands?

Tropical peatlands in Southeast Asia are important ecosystems that play a crucial role in global biogeochemical cycles, with a potential for strong climate feedback loops. The degradation of tropical peatlands due to the expansion of oil palm plantations and their impact on biodiversity and the carbon balance is a global concern. The majority of conversion of Southeast Asian peatlands to agriculture has been by smallholder oil palm farmers, who follow more varied cropping systems compared to industrial plantations, and have better scope for expansion of other alternative varied cropping systems if supported and encouraged. Using previously-published data on peat physicochemical properties, biodiversity and greenhouse gas emissions from small-holder oil palm plantations, we determined that prolonged oil palm monocropping for two generations would result in loss of carbon and peat functional properties that may lead to potential declassification of peatlands. We propose intercropping during the early stages of oil palm as a wise alternative for already-existing plantations in tropical peatlands to ameliorate some of the negative environmental impacts of oil palm on the physio-chemical properties of peat. However, we emphasize the need to more fully explore the sustainability of intercropping systems throughout the life cycle of palm plantations on peatlands, and integrate with current management practices. We also emphasize the further need for research to fully assess the impacts of oil palm intercropping compared to widely-practiced oil palm monocropping. Finally, we suggest changes in government certification policies to encourage intercropping practices by smallholders

RECOGNITION OF FONT AND TAMIL LETTER IN IMAGES USING DEEP LEARNING

This paper proposes a deep learning approach to recognize Tamil Letter from images which contains text. This is recognition process, the text in the images are divided to letter or characters. Each recognized letters are sending to recognition system and filter the text using deep learning algorithms. Our proposed algorithm is used to separate letter from the text using convolution neural network approach. The filtering system is used for identifying font based on that letters are found. The Tamil letters are test data and loaded in recognition systems. The trained data are input which contains filtered letter from image. For example, Tamil letters such as are available in test dataset. The trained data are applied into deep convolution neural network process. The two dataset are created which contains test data with Tamil letter and second one for recognized input data or trained data. 15 thousands of letters are taken and 512 X 512 X 3 size deep convolution network is created with font and letters. As the result, 85% Tamil letters are recognized and 82% are tested using font. TensorFlow is used for testing the accuracy and success rate