Introduction: The endemic occurrence of new strains of tuberculosis around the globe has initiated new research on developing diagnostic radiopharmaceutical based on antibiotics. Methods:Tc-99m labeled streptomycin was prepared using freshly milked 99mTcO4- and various concentrations of streptomycin, stannous chloride at various temperatures in high yield radio...

In this paper combined source-channel coding is considered for the case of predictive vector quantization. A design algorithm for channel optimized predictive vector quantizers is proposed. Under reasonable assumptions, the optimal encoder is presented and a sample iterative design method that simultaneously optimizes the predictor and the codebook is derived. We also demonstrate that this desi...

As some structural properties, like generative families of positive P-invariants, can only be computed in P/T nets, unfolding of Colored Petri Nets is of interest. However, it may generate huge nets that cannot be stored concretely in memory. In some cases, removing the dead parts of the unfolded net can dramatically reduce its size, but this operation requires the unfolded net to be represente...

This paper addresses the problem of encoder optimization in a macroblock-based multi-mode video compression system. An e cient solution is proposed in which, for a given image region, the optimum combination of macroblock modes and the associated mode parameters are jointly selected so as to minimize the overall distortion for a given bit-rate budget. Conditions for optimizing the encoder opera...

ConTroll is a grammar development system which supports the implementation of current constraint-based theories. It uses strongly typed feature structures as its principal data structure and ooers deenite relations, universal constraints, and lexical rules to express grammar constraints. The aspects of ConTroll of relevance to the development of large grammars are discussed in detail. The syste...

We propose a method to optimize the representation and distinguishability of samples from two probability distributions, by maximizing the estimated power of a statistical test based on the maximum mean discrepancy (MMD). This optimized MMD is applied to the setting of unsupervised learning by generative adversarial networks (GAN), in which a model attempts to generate realistic samples, and a ...

Holographic optical traps use the forces exerted by computer-generated holograms to trap, move and otherwise transform mesoscopically textured materials. This article introduces methods for optimizing holographic optical traps' efficiency and accuracy, and an optimal statistical approach for characterizing their performance. This combination makes possible real-time adaptive optimization.

The very powerful turbo codes are the most recent breakthrough in coding theory. The implementation of the iterative turbo decoder however hampers their incorporation in real systems. We tackle this problem by optimizing the decoder on two levels: the separate decoder modules and the global decoder system. Our module level optimizations greatly reduce the decoding delay and energy. The main con...

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