Pharmaceutical aspects of the recombinant human serum albumin dimer: Structural characteristics, biological properties, and medical applications

The purpose of this chapter is to present a survey of recent publications concerning medical image registration techniques. These publications will be classified according to a model based on nine salient criteria, the main dichotomy of which is extrinsic versus intrinsic methods The statistics

. This article reviews the rapidly expanding body of work on the development and application of deformable models to problems of fundamental importance in medical image analysis, includingsegmentation, shape representation, matching, and motion tracking.

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The increasing amount of genomic and molecular information is the basis for understanding higherorder biological systems, such as the cell and the 15 organism, and their interactions with the environment, as well as for medical, industrial and other practical applications. The KEGG resource

This article presents a measure of semantic similarityinanis-a taxonomy based on the notion of shared information content. Experimental evaluation against a benchmark set of human similarity judgments demonstrates that the measure performs better than the traditional edge-counting approach. The article presents algorithms that take advantage of taxonomic similarity in resolving syntactic and semantic ambiguity, along with experimental results demonstrating their e#ectiveness. 1. Introduction Evaluating semantic relatedness using network representations is a problem with a long history in arti#cial intelligence and psychology, dating back to the spreading activation approach of Quillian #1968# and Collins and Loftus #1975#. Semantic similarity represents a special case of semantic relatedness: for example, cars and gasoline would seem to be more closely related than, say, cars and bicycles, but the latter pair are certainly more similar. Rada et al. #Rada, Mili, Bicknell, & Blett...

Abstract: Medical decision making demands an increasing ability to understand and structure the critical information on the Medical field. As the Medical evolves into a networked force, decision makers should select and filter information across the Medical field in a timely and efficient manner

Robots on Mars and in oceans, in hospitals and factories, in schools and homes Robots fighting fires, making goods and products, saving time and lives Robots today are making a considerable impact on many aspects of modern life, from industrial manufacturing to healthcare, transportation, and exploration of the deep space and sea Robots tomorrow will be as pervasive and personal as today's personal computers The dream to create machines that are skilled and intelligent has been part of humanity from the beginning of time. This dream is now becoming part of our world’s striking reality

●Main research focus ● Handling of massive geometric data for various computer graphics and geometric problems ●Research history for rendering ● Did volume rendering at M.S. ● Did large-scale, real-time, rasteriation based rendering at Ph.D. ● Have been doing high-quality rendering at KAIST 3 ●We will discuss various parts of computer graphics

Wide input voltage range: 4.5 V to 15.0 V ±1.5 % output accuracy over full temperature range 250 kHz to 1.4 MHz adjustable switching frequency Adjustable/fixed output options via factory fuse Power regulation