This work provides a review of biological networks as a model for analysis, presenting and discussing a number of illuminating analyses. Biological networks are an effective model for providing insights about biological mechanisms. Networks with different characteristics are employed for representing different scenarios. This powerful model allows analysts to perform many kinds of analyses which can be mined to provide interesting information about underlying biological behaviors. The text also covers techniques for discovering exceptional patterns, such as a pattern accounting for local similarities and also collaborative effects involving interactions between multiple actors (for example genes). Among these exceptional patterns, of particular interest are discriminative patterns, namely those which are able to discriminate between two input populations (for example healthy/unhealthy samples). In addition, the work includes a discussion on the most recent proposal on discovering discriminative patterns, in which there is a labeled network for each sample, resulting in a database of networks representing a sample set. This enables the analyst to achieve a much finer analysis than with traditional techniques, which are only able to consider an aggregated network of each population.
This book looks at the functioning and symbolic meanings of the royal preserves, parks, and forests in a transitional period in Portuguese political regimes: at the end of the Ancien Regime and in the aftermath of the first liberal revolution in Portugal (1821), from 1777 to 1824.The aim is to understand how life developed in royal preserves before and after the Liberal Revolution in Portugal. The majority of academic work produced before 1998 focused on hunting and royal preserves in England, Spain or France. If the classic Whigs and Hunters, by E. P. Thompson, proclaimed the prerogatives of aristocracy for the British aristocratic mastering of property rights, status and ethos, other contributions of the preserves regime, in the mastering of social order and in the attempt to balance or master powers, can be added, for other regions in Europe. In this case, the focus is on Portugal.
In recent years there has been much interest in collective memory and commemoration. It is often assumed that when nations celebrate a historic day, they put aside the divisions of the present to recall the past in a spirit of unity. As Billig and Marinho show, this does not apply to the Portuguese parliament's annual celebration of 25 April 1974, the day when the dictatorship, established by Salazar and continued by Caetano, was finally overthrown. Most speakers at the ceremony say little about the actual events of the day itself; and in their speeches they continue with the partisan politics of the present as combatively as ever. To understand this, the authors examine in detail how the members of parliament do politics within the ceremony of remembrance; how they engage in remembering and forgetting the great day; how they use the low rhetoric of manipulation and point-scoring, as well as high-minded political rhetoric. The book stresses that the members of the audience contribute to the meaning of the ceremony by their partisan displays of approval and disapproval. Throughout, the authors demonstrate that, to uncover the deeper meanings of political rhetoric, it is necessary to take note of significant absences. The Politics and Rhetoric of Commemoration illustrates how an in-depth case-study can be invaluable for understanding wider processes. The authors are not content just to uncover unnoticed features of the Portuguese celebration. They use the particular example to provide original insights about the rhetoric of celebrating and the politics of remembering, as well as throwing new light onto the nature of party political discourse.
This work provides a review of biological networks as a model for analysis, presenting and discussing a number of illuminating analyses. Biological networks are an effective model for providing insights about biological mechanisms. Networks with different characteristics are employed for representing different scenarios. This powerful model allows analysts to perform many kinds of analyses which can be mined to provide interesting information about underlying biological behaviors. The text also covers techniques for discovering exceptional patterns, such as a pattern accounting for local similarities and also collaborative effects involving interactions between multiple actors (for example genes). Among these exceptional patterns, of particular interest are discriminative patterns, namely those which are able to discriminate between two input populations (for example healthy/unhealthy samples). In addition, the work includes a discussion on the most recent proposal on discovering discriminative patterns, in which there is a labeled network for each sample, resulting in a database of networks representing a sample set. This enables the analyst to achieve a much finer analysis than with traditional techniques, which are only able to consider an aggregated network of each population.
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