NMR Analysis to Identify Biuret Groups in Common Polyureas

How to identify ' target groups ' ?

The core challenges in contemporary development practice and research are to identify particular groups which struggle for control of available assets and resources (Oakley & Marsden 1984:9) and to categorize community members into specific groups (such as the ‘poor’, ‘marginalized’, ‘disadvantaged’, ‘socially excluded’, etc.) for the purpose of either targeting development assistance or focusi...

Using text analysis to identify functionally coherent gene groups.

The analysis of large-scale genomic information (such as sequence data or expression patterns) frequently involves grouping genes on the basis of common experimental features. Often, as with gene expression clustering, there are too many groups to easily identify the functionally relevant ones. One valuable source of information about gene function is the published literature. We present a meth...

A Recurrent Neural Network to Identify Efficient Decision Making Units in Data Envelopment Analysis

In this paper we present a recurrent neural network model to recognize efficient Decision Making Units(DMUs) in Data Envelopment Analysis(DEA). The proposed neural network model is derived from an unconstrained minimization problem. In theoretical aspect, it is shown that the proposed neural network is stable in the sense of lyapunov and globally convergent. The proposed model has a single-laye...

Multiobjective Analysis to Identify

Using Network Structure to Identify Groups in Virtual Worlds

Humans are adept social animals capable of identifying friendship groups from a combination of linguistic cues and social network patterns. But what is more important, the content of what people say or their history of social interactions? Moreover, is it possible to identify whether people are part of a group with changing membership merely from general network properties, such as measures of ...