Identification of Shell Colour Pigments in Marine Snails Clanculus pharaonius and C. margaritarius (Trochoidea; Gastropoda)

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Ethanol Inhibits Activation of NLRP3 and AIM2 Inflammasomes in Human Macrophages- A Novel Anti-Inflammatory Action of Alcohol

Peer reviewe

An Efficient Progressive Refinement Strategy for Hierarchical Radiosity

A detailed study of the performance of hierarchical radiosity is presented, which confirms that visibility computation is the most expensive operation. Based on the analysis of the algorithm's behavior, two improvements are suggested. Lazy evaluation of the top-level links suppresses most of the initial linking cost, and is consistent with a progressive refinement strategy. In addition, the reduction of the number of links for mutually visible areas is made possible by the use of an improved subdivision criterion. Results show that initial linking can be avoided and the number of links significantly reduced without noticeable image degradation, making useful images available more quickly

Adaptive Mesh Refinement with Discontinuities for the Radiosity Method

The radiosity method simulates the interaction of lightbetween diffuse reflecting surfaces, thereby accurately predicting global illumination effects. One of the main problems of the original algorithm is the inability to represent correctly the shadows cast onto surfaces. Adaptive subdivision techniques were tried but the results are not good enough for general purposes. The conceptually different discontinuity meshing algorithm produces exact pictures of shadow boundaries but is computationally expensive. The newly presented adaptive discontinuity meshing method combines the speed of adaptive subdivision with the quality of the discontinuity meshing method