3 resultados para Border Plan of Prosperity

em Indian Institute of Science - Bangalore - Índia


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Transcriptional regulation enables adaptation in bacteria. Typically, only a few transcriptional events are well understood, leaving many others unidentified. The recent genome-wide identification of transcription factor binding sites in Mycobacterium tuberculosis has changed this by deciphering a molecular road-map of transcriptional control, indicating active events and their immediate downstream effects.

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The quest for prosperity has been a central motive in the life of man from the moment of his entrance into the worldly scence. And certain, it is that the issue of prosperity at the very cost of his very existence has mounted in intensity and urgency with the unforeseen evolution of industrialization. The traditional paradigm of prosperity has been resting on the classical theory of production economics.With increasing empiricism it is obvious that the rational model fail to grapple with the complexity of the concept. The paper addresses the prosperity as an goal state resting on the conviction of harmony between present generation and generation of humans to come. Sustainable prosperity involves more than growth in services/goods. It requires a change in the content of the growth, to make it less material-and energy-intensive and more equitable in its impact. The process of economic prosperity must be more soundly based upon the realities of the stock of capital that sustains it.

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Border basis detection (BBD) is described as follows: given a set of generators of an ideal, decide whether that set of generators is a border basis of the ideal with respect to some order ideal. The motivation for this problem comes from a similar problem related to Grobner bases termed as Grobner basis detection (GBD) which was proposed by Gritzmann and Sturmfels (1993). GBD was shown to be NP-hard by Sturmfels and Wiegelmann (1996). In this paper, we investigate the computational complexity of BBD and show that it is NP-complete.