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: Nurses are the largest group of healthcare providers and are often the first line responders to a disaster event. Nurses' disaster competence, motivation for disaster engagement, and factors that impact their motivation to respond to disaster events need to be understood. The purposes of the study were to determine the predictive relationships between Taiwanese nurses' disaster competence, anticipatory disaster stress, and motivation for disaster engagement. A cross-sectional design was used to analyze data collected between August 2017 and December 2017 from eight hospitals in southern Taiwan. Ninety participants who met the recruitment criteria completed and returned questionnaires with an 88.24% response rate. Data collection involved administering the Disaster Nursing Competence Questionnaire, Anticipatory Disaster Stress Questionnaire, and the Motivation of Disaster Engagement Questionnaire. The results indicated that anticipatory disaster stress was positively correlated with disaster competence and motivation for disaster engagement. Disaster competence and willingness to join a hospital disaster rescue predicts an individuals' motivation for disaster engagement. The results of the study add to the understanding of factors that correlate with nurses' motivation to participate in disaster events. By understanding these factors, the government and healthcare administrators can design disaster education plans and other strategies to improve Taiwanese nurses' motivation to engage in disaster events.
Title: 101545 and Technology
[A]: True

[Q]: Paragraph: We have developed a full genome virus detection process that combines sensitive nucleic acid preparation optimised for virus identification in fecal material with Illumina MiSeq sequencing and a novel post-sequencing virus identification algorithm. Enriched viral nucleic acid was converted to double-stranded DNA and subjected to Illumina MiSeq sequencing. The resulting short reads were processed with a novel iterative Python algorithm SLIM for the identification of sequences with homology to known viruses. De novo assembly was then used to generate full viral genomes. The sensitivity of this process was demonstrated with a set of fecal samples from HIV-1 infected patients. A quantitative assessment of the mammalian, plant, and bacterial virus content of this compartment was generated and the deep sequencing data were sufficient to assembly 12 complete viral genomes from 6 virus families. The method detected high levels of enteropathic viruses that are normally controlled in healthy adults, but may be involved in the pathogenesis of HIV-1 infection and will provide a powerful tool for virus detection and for analyzing changes in the fecal virome associated with HIV-1 progression and pathogenesis.
Title: Full Genome Virus Detection in Fecal Samples Using Sensitive Nucleic Acid Preparation, Deep Sequencing, and a Novel Iterative Sequence Classification Algorithm
[A]: False

[Q]: Paragraph: Sapovirus is a genus of caliciviruses that are known to cause enteric disease in humans and animals. There is considerable genetic diversity among the sapoviruses, which are classified into different genogroups based on phylogenetic analysis of the full-length capsid protein sequence. While several mammalian species, including humans, pigs, minks, and dogs, have been identified as animal hosts for sapoviruses, there were no reports of sapoviruses in bats in spite of their biological diversity. In this report, we present the results of a targeted surveillance study in different bat species in Hong Kong. Five of the 321 specimens from the bat species, Hipposideros pomona, were found to be positive for sapoviruses by RT-PCR. Complete or nearly full-length genome sequences of approximately 7.7 kb in length were obtained for three strains, which showed similar organization of the genome compared to other sapoviruses. Interestingly, they possess many genomic features atypical of most sapoviruses, like high G+C content and minimal CpG suppression. Phylogenetic analysis of the viral proteins suggested that the bat sapovirus descended from an ancestral sapovirus lineage and is most closely related to the porcine sapoviruses. Codon usage analysis showed that the bat sapovirus genome has greater codon usage bias relative to other sapovirus genomes. In summary, we report the discovery and genomic characterization of the first bat calicivirus, which appears to have evolved under different conditions after early divergence from other sapovirus lineages.
Title: Discovery and Genomic Characterization of a Novel Bat Sapovirus with Unusual Genomic Features and Phylogenetic Position
[A]:
True