21 research outputs found
Body, Self and Consciousness according to Tirumūlar’s Tirumandiram: A comparative study with Kashmir Śaivism
Tirumular’s Tirumandiram is the earliest known Tamil treatise on yoga. This text is considered to be both, a devotional work as well as a tantric text. Unlike other major Siddha compositions, Tirumandiram does not contain any section on medicinal preparations or alchemy. It is the only Tamil text where the sections are named tanṭiram. In contrast to the popular pluralistic Śaiva Siddhānta, Tirumandiram, one of the twelve Saiva cannons (tirumurai), is monistic in its philosophy. This study, while elaborating on the metaphysics of the text Tirumandiram, also examines the shared philosophical thoughts between the monistic Kashmir Śaivism and Tamil Siddha mystics
Effectiveness of Antianxiety Drugs on Postoperative Pain Perception After Implant Placement: An In Vivo Study
miR-181d and c-myc-mediated inhibition of CRY2 and FBXL3 reprograms metabolism in colorectal cancer
A phantom axon setup for validating models of action potential recordings
International audienceIn this paper, we proposed a new geometric finite mixture model-based adaptive arithmetic coding (AAC) for lossless image compression. Applying AAC for image compression, large compression gains can be achieved only through the use of sophisticated models that provide more accurate probabilistic descriptions of the image. In this work, we proposed to divide the residual image into non-overlapping blocks, and then we model the statistics of each block by a mixture of geometric distributions of parameters estimated through the maximum likelihood estimation using the expectation–maximization algorithm. Moreover, a histogram tail truncation method within each predicted error block is used in order to reduce the number of symbols in the arithmetic coding and therefore to reduce the effect of the zero-occurrence symbols. Experimentally, we showed that using convenient block size and number of mixture components in conjunction with the prediction technique median edge detector, the proposed method outperforms the well known lossless image compressors