865 resultados para false problem


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The detection of replicative intermediate RNAs as markers of active replication of RNA viruses is an essential tool to investigate pathogenesis in acute viral infections, as well as in their long-term sequelae. In this regard, strand-specific PCR has been used widely to distinguish (-) and (+) enteroviral RNAs in pathogenesis studies of diseases such as dilated cardiomyopathy. It has been generally assumed that oligonucleotide-primed reverse transcription of a given RNA generates only the corresponding specific cDNA, thus assuring the specificity of a PCR product amplified from it. Nevertheless, such assumed strand-specificity is a fallacy, because falsely primed cDNAs can be produced by RNA reverse transcription in the absence of exogenously added primers, (cDNA(primer)(-)), and such falsely primed cDNAs are amplifiable by PCR in the same way as the correctly primed cDNAs. Using as a prototype the coxsackievirus B5 (CVB5), a (+) strand RNA virus, it was shown that cDNA(primer)(-) renders the differential detection of viral (-) and (+) RNAs by conventional PCR virtually impossible, due to gross non-specificity. Using in vitro transcribed CVB5 RNAs (+) and (-), it was shown that cDNA(primer)(-) could be removed effectively by magnetic physical separation of correctly primed biotinylated cDNA. Such strategy enabled truly strand-specific detection of RNA (-) and (+), not only for CVB5, but also for other non-polio enteroviruses. These findings indicate that previous conclusions supporting a role for the persistence of actively replicating enterovirus in the pathogenesis of chronic myocarditis should be regarded with strong skepticism and purification of correctly primed cDNA should be used for strand-specific PCR of viral RNA in order to obtain reliable information on this important subject. (C) 2009 Elsevier B.V. All rights reserved.

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Feature selection is one of important and frequently used techniques in data preprocessing. It can improve the efficiency and the effectiveness of data mining by reducing the dimensions of feature space and removing the irrelevant and redundant information. Feature selection can be viewed as a global optimization problem of finding a minimum set of M relevant features that describes the dataset as well as the original N attributes. In this paper, we apply the adaptive partitioned random search strategy into our feature selection algorithm. Under this search strategy, the partition structure and evaluation function is proposed for feature selection problem. This algorithm ensures the global optimal solution in theory and avoids complete randomness in search direction. The good property of our algorithm is shown through the theoretical analysis.

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An m-cycle system of order upsilon is a partition of the edge-set of a complete graph of order upsilon into m-cycles. The mu -way intersection problem for m-cycle systems involves taking mu systems, based on the same vertex set, and determining the possible number of cycles which can be common to all mu systems. General results for arbitrary m are obtained, and detailed intersection values for (mu, m) = (3, 4), (4, 5),(4, 6), (4, 7), (8, 8), (8, 9). (For the case (mu, m)= (2, m), see Billington (J. Combin. Des. 1 (1993) 435); for the case (Cc,m)=(3,3), see Milici and Quattrochi (Ars Combin. A 24 (1987) 175. (C) 2001 Elsevier Science B.V. All rights reserved.

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The number of 1-factors (near 1-factors) that mu 1-factorizations (near 1-factorizations) of the complete graph K-v, v even (v odd), can have in common, is studied. The problem is completely settled for mu = 2 and mu = 3.

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For all in greater than or equal to 3, the Oberwolfach problem is solved for the case where the 2-factors consist of two cycles of lengths in and m + 1, and for the case where the 2-factors consist of two cycles of lengths m and m + 2.

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The widespread incidence of hepatitis C (HCV) infection throughout the community is of concern. Although many of those infected will not suffer significantly from their infection, up to one-third will have liver disease, fatigue and oral health problems. General dental practitioners need to be aware of the precautions necessary in treating people with severe liver disease. This paper discusses the issues associated with treating patients who have HCV infection including the importance of preventive programs to reduce dental pathology and maximise oral health.