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".

Ex Input:
Paragraph: G-quadruplexes are non-canonical nucleic acid structures that control transcription, replication, and recombination in organisms. G-quadruplexes are present in eukaryotes, prokaryotes, and viruses. In the latter, mounting evidence indicates their key biological activity. Since data on viruses are scattered, we here present a comprehensive analysis of putative G-quadruplexes in the genome of all known viruses that can infect humans. We show that the presence, distribution, and location of G-quadruplexes are features characteristic of each virus class and family. Our statistical analysis proves that their presence within the viral genome is orderly arranged, as indicated by the possibility to correctly assign up to two-thirds of viruses to their exact class based on the G-quadruplex classification. For each virus we provide: i) the list of all G-quadruplexes formed by GG-, GGG-and GGGG-islands present in the genome (positive and negative strands), ii) their position in the viral genome along with the known function of that region, iii) the degree of conservation among strains of each G-quadruplex in its genome context, iv) the statistical significance of G-quadruplex formation. This information is accessible from a database
Title: G-quadruplex forming sequences in the genome of all known human viruses: a comprehensive guide Running title: Presence and conservation of G4s in human viruses

Ex Output:
True

Ex Input:
Paragraph: Besides being a common threat to farm animals and poultry, coronavirus (CoV) was responsible for the human severe acute respiratory syndrome (SARS) epidemic in 2002-4. However, many aspects of CoV behavior, including modes of its transmission, are yet to be fully understood. We show that the amount and the peculiarities of distribution of the protein intrinsic disorder in the viral shell can be used for the efficient analysis of the behavior and transmission modes of CoV. The proposed model allows categorization of the various CoVs by the peculiarities of disorder distribution in their membrane (M) and nucleocapsid (N). This categorization enables quick identification of viruses with similar behaviors in transmission, regardless of genetic proximity. Based on this analysis, an empirical model for predicting the viral transmission behavior is developed. This model is able to explain some behavioral aspects of important coronaviruses that previously were not fully understood. The new predictor can be a useful tool for better epidemiological, clinical, and structural understanding of behavior of both newly emerging viruses and viruses that have been known for a long time. A potentially new vaccine strategy could involve searches for viral strains that are characterized by the evolutionary misfit between the peculiarities of the disorder distribution in their shells and their behavior.
Title: Understanding Viral Transmission Behavior via Protein Intrinsic Disorder Prediction: Coronaviruses

Ex Output:
True

Ex Input:
Paragraph: Newcastle disease virus (NDV) are both important viruses seriously affecting poultry industry worldwide. In this study, reverse-transcription LAMP (RT-LAMP) was combined with lateral flow dipstick (LFD) forming a novel detection tool which could simultaneously detect IBV and NDV visually. Primers targeted the 5 -untranslated region (5 -UTR) of IBV genome and the conserved region of NDV large polymerase gene (LP). The specificity and sensitivity of this multiple reverse transcription-LAMP-LFD (mRT-LAMP-LFD) assay were compared with those of conventional RT-PCR, nested RT-PCR (nRT-PCR), quantification RT-PCR (qRT-PCR), and RT-LAMP monitored by electrophoresis. No non-specific amplifications were observed when the assays were tested with unrelated viruses. According to the sensitivity study, when detecting IBV or NDV alone, the lowest detection limits of mRT-LAMP-LFD were 10 0.8 IBV RNA copies/reaction and 10 0.7 NDV RNA copies/reaction. Furthermore, when detecting IBV and NDV simultaneously, the lowest detection limit was the same as that of the single detection assays. In the clinical sample study, mRT-LAMP-LFD performed the best among these assays. When tested with IBV or NDV single infected samples, the mean detection rates were 98.65% and 97.25%, respectively. In the IBV and NDV co-infected sample study, the mean detection rates of IBV and NDV were both 95%. This study showed that mRT-LAMP-LFD was a promising qualitative detection tool suitable for field single or multiple IBV and NDV detection.
Title: Simultaneous and visual detection of infectious bronchitis virus and Newcastle disease virus by multiple LAMP and lateral flow dipstick

Ex Output:
False