DG-051B is a first-in-class small molecule inhibitor of leukotriene A4 hydrolase (LTA4H), currently in Phase II clinical development for the prevention of heart attack. Process optimization led from a linear seven-step synthetic procedure to a convergent four-step manufacturing sequence that has been used to manufacture at 100-kg scale. The entire process can be telescoped due to high conversion reactions, low impurity levels, efficient separations, and a very effective final purification. Two key aspects of the process are: (a) bypassing the isolation of a reactive electrophile by using its aqueous-washed reaction mixture directly into a coupling reaction with a phenoxide nucleophile and (b) modulating the properties of the final product solutions for optimal extraction, purification, and crystallization.

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Early reflections are not always strong and sparse enough on the timeline to be easily identified when reviewing the impulse response diagram. This paper presents a method for the detection of early reflection in the room impulse response using multifractals. The proposed method uses the distribution of Hölder's exponent calculated for the acoustic impulse response for early reflection detection. The obtained results confirm the assumption that impulse response signals exhibit self-similarity, and that fractal theory can be used for the detection of early reflections.

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In this paper, a method for color image segmentation based on Kohonen's neural networks and clusterization by using modification of K-means algorithm, is presented. The method consists of three steps. First step includes usage of self-organizing maps for determination of potential candidates for regions centers. Secondly, using maxmin algorithm, number of candidates is reduced to initializing number of centers, which are then used for further analysis. During this process, initial number of regions is formed. For every formed region spatial and intensity centers are determined. Finally, in the third step, iterative procedure of modified K-means algorithm is realized during which the number of regions is minimized. The experimental results verify the usability of described algorithm.Index Terms-Color image segmentation, Kohonen neural network, self-organizing map, K-means algorithm.