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: Self-assembly refers to the spontaneous organization of individual building blocks into higher order structures. It occurs in biological systems such as spherical viruses, which utilize icosahedral symmetry as a guiding principle for the assembly of coat proteins into a capsid shell. In this study, we characterize the self-assembling protein nanoparticle (SAPN) system, which was inspired by such viruses. To facilitate self-assembly, monomeric building blocks have been designed to contain two oligomerization domains. An N-terminal pentameric coiled-coil domain is linked to a C-terminal coiled-coil trimer by two glycine residues. By combining monomers with inherent propensity to form five-and threefold symmetries in higher order agglomerates, the supposition is that nanoparticles will form that exhibit local and global symmetry axes of order 3 and 5. This article explores the principles that govern the assembly of such a system. Specifically, we show that the system predominantly forms according to a spherical core-shell morphology using a combination of scanning transmission electron microscopy and small angle neutron scattering. We introduce a mathematical toolkit to provide a specific description of the possible SAPN morphologies, and we apply it to characterize all particles with maximal symmetry. In particular, we present schematics that define the relative positions of all individual chains in the symmetric SAPN particles, and provide a guide of how this approach can be generalized to nonspherical morphologies, hence providing unprecedented insights into their geometries that can be exploited in future applications. 
 Title: Article Principles Governing the Self-Assembly of Coiled-Coil Protein Nanoparticles
[A]: True


[Q]: Paragraph: The burden of vector-borne diseases (Dengue, Zika virus, yellow fever, etc.) gradually increased in the past decade across the globe. Mathematical modelling on infectious diseases helps to study the transmission dynamics of the pathogens. Theoretically, the diseases can be controlled and eventually eradicated by maintaining the effective reproduction number, (R eff ), strictly less than 1. We established a vector-host compartmental model, and derived (R eff ) for vector-borne diseases. The analytic form of the (R eff ) was found to be the product of the basic reproduction number and the geometric average of the susceptibilities of the host and vector populations. The (R eff ) formula was demonstrated to be consistent with the estimates of the 2015-2016 yellow fever outbreak in Luanda, and distinguished the second minor epidemic wave. For those using the compartmental model to study the vector-borne infectious disease epidemics, we further remark that it is important to be aware of whether one or two generations is considered for the transition ''from host to vector to host'' in reproduction number calculation. 
 Title: Distributed under Creative Commons CC-BY 4.0 Modelling the effective reproduction number of vector-borne diseases: the yellow fever outbreak in Luanda, Angola 2015-2016 as an example
[A]: False


[Q]: Paragraph: A reverse transcriptase PCR (RT-PCR) targeting a 407 bp fragment of the nucleocapsid gene of bovine coronavirus (BCV) was developed for detection of BCV RNA in feces of experimentally inoculated cattle. The sensitivity and specificity of the RT-PCR were confirmed using tissue culture-adapted BCV strains and feces of 2 calves inoculated with BCV. Ten nonpregant, BCV seropositive, adult dairy cows were inoculated with winter dysentery (WD) (n = 8) or calf diarrhea (CD) (n = 2) strains of BCV intranasally and orally (n = 2) or through a surgically-placed duodenal catheter (n = 8) with and without dexamethasone treatment or feeding ice water. The 6 cows inoculated with BCV intranasally and through a duodenal catheter (2 of 2 cows given CD BCV and 4 of 6 cows given WD BCV) developed mild diarrhea, and BCV was detected in diarrheal feces by RT-PCR, ELISA or immune electron microscopy. These results suggest that CD and WD strains of BCV can cause diarrhea in adult cows in conjunction with host or environmental factors and that RT-PCR might be useful to diagnose BCV infections in calves and adult cows. * Bovine coronavirus (BCV) is an important pathogen of neonatal calf diarrhea (CD) [5] . The virus also has been isolated from adult cattle experiencing acute diarrhea during outbreaks of winter dysentery (WD) [19] . In a recent study individ- * Present address: 
 Title: Experimental inoculation of adult dairy cows with bovine coronavirus and detection of coronavirus in feces by RT-PCR Brief Report
[A]:
False