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".

Example Input: Paragraph: The rebirth of modern analytical ultracentrifugation (AUC) began in 1990s. Since then many advanced AUC detectors have been developed that provide a vast range of versatile choices when characterizing the physical and chemical features of macromolecules. In addition, there have been remarkable advances in software that allow the analysis of AUC data using more sophisticated models, including quaternary structures, conformational changes, and biomolecular interactions. Here we report the application of AUC to protein size-and-shape distribution analysis and structure-and-function analysis in the presence of ligands or lipids. Using band-sedimentation velocity, quaternary structural changes and an enzyme's catalytic activity can be observed simultaneously. This provides direct insights into the correlation between quaternary structure and catalytic activity of the enzyme. On the other hand, also in this study, we have applied size-and-shape distribution analysis to a lipid-binding protein in either an aqueous or lipid environment. The sedimentation velocity data for the protein with or without lipid were evaluated using the c(s,f r ) two-dimensional distribution model, which provides a precise and quantitative means of analyzing the protein's conformational changes.
Title: Applications of analytical ultracentrifugation to protein size-and-shape distribution and structure-and-function analyses
Example Output: False

Example Input: Paragraph: Background: Household studies provide opportunities to understand influenza-like-illness (ILI) transmission, but data from (sub)tropical developing countries are scarce. Objective: To determine the viral etiology and epidemiology of ILI in households. Study design: ILI was detected by active case finding amongst a cohort of 263 northern Vietnam households between 2008 and 2013. Health workers collected nose and throat swabs for virus detection by multiplex real-time RT-PCR. Results: ILI was detected at least once in 219 (23.7%) of 945 household members. 271 (62.3%) of 435 nose/throat swabs were positive for at least one of the 15 viruses tested. Six viruses predominated amongst positive swabs: Rhinovirus (28%), Influenza virus (17%), Coronavirus (8%), Enterovirus (5%), Respiratory syncytial virus (3%), Metapneumovirus virus (2.5%) and Parainfluenza virus 3 (1.8%). There was no clear seasonality, but 78% of episodes occurred in Winter/Spring for Influenza compared to 32% for Rhinovirus. Participants, on average, suffered 0.49 ILI, and 0.29 virus-positive ILI episodes, with no significant effects of gender, age, or household size. In contrast to US and Australian community studies, the frequency of ILI decreased as the number of household members aged below 5 years increased (p = 0.006). Conclusion: The findings indicate the need for tailored ILI control strategies, and for better understanding of how local childcare practices and seasonality may influence transmission and the role of children.
Title: Epidemiology and etiology of influenza-like-illness in households in Vietnam; it's not all about the kids!
Example Output: True

Example Input: Paragraph: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the 34 ongoing pandemic of coronavirus disease 2019 (COVID-19), a public health emergency of 35 international concern declared by the World Health Organization (WHO). An immuno-36 informatics approach along with comparative genomic was applied to design a multi-epitope-37 based peptide vaccine against SARS-CoV-2 combining the antigenic epitopes of the S, M and E 38 proteins. The tertiary structure was predicted, refined and validated using advanced 39 bioinformatics tools. The candidate vaccine showed an average of 90.0% world population 40 coverage for different ethnic groups. Molecular docking of the chimeric vaccine peptide with the 41 immune receptors (TLR3 and TLR4) predicted efficient binding. Immune simulation predicted 42 significant primary immune response with increased IgM and secondary immune response with 43 high levels of both IgG1 and IgG2. It also increased the proliferation of T-helper cells and 44 cytotoxic T-cells along with the increased INF- and IL-2 cytokines. The codon optimization and 45 mRNA secondary structure prediction revealed the chimera is suitable for high-level expression 46 and cloning. Overall, the constructed recombinant chimeric vaccine candidate demonstrated 47 significant potential and can be considered for clinical validation to fight against this global 48 threat, COVID-19. 49 50 51 52 53
Title: Epitope-based chimeric peptide vaccine design against S, M and E proteins of SARS-CoV-2 1 etiologic agent of global pandemic COVID-19: an in silico approach 2 3
Example Output:
False