A Laodicean (Penguin Classics) by Thomas Hardy

By Thomas Hardy

The daughter of a prosperous railway tycoon, Paula energy inherits De Stancy fortress, an old fort short of modernization. She commissions George Somerset, a tender architect, to adopt the paintings. Somerset falls in love with Paula yet she, the Laodicean of the name, is torn among his admiration and that of Captain De Stancy, whose old-world romanticism contrasts with Somerset's forward-looking perspective.
Paula's vacillation, notwithstanding, isn't just romantic. Her ambiguity concerning faith, politics and social growth is a mirrored image of the author's personal. This new Penguin Classics version of Hardy's textual content comprises an advent and notes that light up and make clear those topics, and attracts parallels among the textual content and the author's lifestyles and perspectives.

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A Laodicean (Penguin Classics)

The daughter of a prosperous railway mogul, Paula strength inherits De Stancy fort, an old fort short of modernization. She commissions George Somerset, a tender architect, to adopt the paintings. Somerset falls in love with Paula yet she, the Laodicean of the identify, is torn among his admiration and that of Captain De Stancy, whose old-world romanticism contrasts with Somerset's forward-looking angle.

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Maxi,j F [i][j]). Liao and Noble proposed a simple method to derive a feature vector using the SW-score [23]. For two sequences s and s , let sw(s, s ) denote the SW-score between s and s . Let S = {s1 , . . , sn } be a set of sequences used as training data, where some sequences are used as positive examples and the others as negative examples. For each sequence s (s may not be in S), we define a feature vector ΦSW (s) by ΦSW (s) = (sw(s, si ))si ∈S . 24 T. Akutsu Then, the kernel is simply defined as ΦSW (s) · ΦSW (s ).

USA, 89:10915-10919, 1992. 12. , Akutsu, T. , Optimizing substitution matrices by separating score distributions, Bioinformatics, 20:863-873, 2004. 13. , Diekhans, M. , A discriminative framework for detecting remote protein homologies, Journal of Computational Biology, 7:95-114, 2000. 14. , Qian, B. and Goldstein, R. , Optimization of a new score function for the detection of remote homologs, Proteins: Structure, Function, and Genetics, 41:498-503, 2000. 15. , Karplus, K. , Classifying G-protein coupled receptors with support vector machines, Bioinformatics, 18:147-159, 2002.

1 What Is Indexing in General ? According to the AFNOR standard indexing is: Definition: Describing and characterising a document by the representation of the concepts contained in the document, and recording the concepts in some organised file, which can be easily accessed. , queries are handled by these files. This definition concerns textual documents, it must be generalised. For this generalisation, we will introduce later the notion of descriptors. First let’s try to define indexing in its general accceptation, without the context of any computer based process.

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