In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".

Q: Paragraph: New assays for the diagnosis of infectious diseases-particularly those that use molecular technologies-will revolutionize infectious diseases practices, but the fulfillment of the promise is several years away. Problems with currently available molecular assays include a lack of knowledge about the extent of microbial nucleic acid in "normal" hosts, concentration of agent material in small volume samples, lack of microbiologist expertise, lack of adequate reimbursement, and difficulty with validation based on conventional methods. Clinicians must appreciate the shortcomings of new technology to use it effectively and appropriately. However, we are realizing tangible progress in our ability to detect new etiological agents; the availability of rapid, accurate diagnostic tests for previously difficult infections; and advances into new, human responsebased paradigms for diagnostic testing. 
 Title: Implications of New Technology for Infectious Diseases Practice

A: True
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Q: Paragraph: Identification of the full complement of genes and other functional elements in any virus is crucial to fully understand its molecular biology and guide the development of effective control strategies. RNA viruses have compact multifunctional genomes that frequently contain overlapping genes and non-coding functional elements embedded within protein-coding sequences. Overlapping features often escape detection because it can be difficult to disentangle the multiple roles of the constituent nucleotides via mutational analyses, while high-throughput experimental techniques are often unable to distinguish functional elements from incidental features. However, RNA viruses evolve very rapidly so that, even within a single species, substitutions rapidly accumulate at neutral or near-neutral sites providing great potential for comparative genomics to distinguish the signature of purifying selection. Computationally identified features can then be efficiently targeted for experimental analysis. Here we analyze alignments of protein-coding virus sequences to identify regions where there is a statistically significant reduction in the degree of variability at synonymous sites, a characteristic signature of overlapping functional elements. Having previously tested this technique by experimental verification of discoveries in selected viruses, we now analyze sequence alignments for ∼700 RNA virus species to identify hundreds of such regions, many of which have not been previously described. 
 Title: Mapping overlapping functional elements embedded within the protein-coding regions of RNA viruses

A: False
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Q: Paragraph: It is complicated to measure the effects of various economic events on office markets within a nonparameter modeling framework. In response to this issue, a non-parametric statistical method-wavelet analysis is introduced in this study. Based on this innovative technique, we not only could detect the abrupt change points with a comparatively small data sample, but also could evaluate the impact from the abrupt change points by reconstructing the wavelet coefficient/de-noising the raw data, which had never been considered in previous studies of office markets. Our empirical results suggest that the wavelet reconstruction method, to some extent, makes it easier for the detection of the existence of structural change points. More interestingly, our findings also indicate that free market economies (i.e. Hong Kong and Singapore) are mainly influenced by the effects of global events, whereas the actual (net) impact on socialist economies (i.e. Beijing and Shanghai), depends on both the openness of the economies, and the magnitude of counter domestic forces put in place. 
 Title: Examining structural changes in Asian offices market

A:
False
****