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: was first discovered in 2012. MERS-CoV can infect multiple host species and cause severe diseases in human. We conducted a series of phylogenetic and bioinformatic analyses to study the evolution dynamics of MERS-CoV among different host species with genomic data. Our analyses show: 1) 28 potential recombinant sequences were detected and they can be classified into seven potential recombinant types; 2) The spike (S) protein of MERS-CoV was under strong positive selection when Middle East Respiratory Syndrome coronavirus (MERS-CoV) is a novel beta-coronavirus with high pathogenicity, which imposes a serious threat to human health 1 . Substantial evidence has showed that MERS-CoVs have existed in central and east Africa for decades 2,3 , and have many natural hosts including two species of bats (Neoromicia capensis and Vespertilio superans), dromedary camel (Camelus dromedarius), and European hedgehog (Erinaceus europaeus) 4-7 . Yet it seemed that human MERS-CoV first isolated in Saudi Arabian in 2012, and then spread among humans worldwide 8 . Studies of prototype human MERS-CoV also suggested that the tMRCA (the time of most recent common ancestor) of human MERS-CoV can be traced back to about 2011 9 . Because the genome sequence of bat MERS-CoV is highly identical to that of human MERS-CoV, it has been indicated that human MERS-CoV might have a bat origin 10 , while there is also some evidence of camel-to-human MERS-CoV transmission 11,12 . Together, these studies proposed that zoonotic event may play a nontrivial part in MERS-CoV evolution and transmission. Previous studies showed that recombination was common among the members of beta-coronavirus 13,14 . By joining the previously unlinked DNA, recombination event can create new viral strains which may be capable of infecting new hosts and evading host's immuno-responses. The phylogenetic analysis showed that there were two main MERS-CoV clades-clade A and B, and clade B can be further divided into five phylogenetic groups 15 . There is evidence that recombination event had happened between group III and group V 15 . However, whether there was potential recombination event happened between the other groups or among multiple phylogenetic groups remains unclear. The genome of MERS-CoV is over 30,000 nucleotides (nt) in length, which contains seven predicted open reading frames (ORFs) and four structural genes-spike (S), envelope (E), membrane (M), and nucleocapsid (N) 16 (supplementary Fig. 1c ). The surface located spike (S) protein of beta-coronaviruses is one of the major determinants in their cross-species transmission because it mediates the virus-receptor recognition and thereby activates viral infection process 17 . Additionally, the receptor binding domain (RBD) on S protein's N-terminal is the key element for beta-coronavirus entering into host cells and the mutations in coronavirus's RBD affects its infection and cross-species capability 18, 19 . For example, the study of the spike protein from severe acute respiratory syndrome coronavirus (SARS-CoV), another beta-coronavirus with high pathogenicity, revealed four amino 
 Title: Evolutionary Dynamics of MERS- CoV: Potential Recombination, Positive Selection and Transmission OPEN
[A]: False


[Q]: Paragraph: Contact patterns among hosts are considered as one of the most critical factors contributing to unequal pathogen transmission. Consequently, networks have been widely applied in infectious disease modeling. However most studies assume static network structure due to lack of accurate observation and appropriate analytic tools. In this study we used high temporal and spatial resolution animal position data to construct a high-resolution contact network relevant to infectious disease transmission. The animal contact network aggregated at hourly level was highly variable and dynamic within and between days, for both network structure (network degree distribution) and individual rank of degree distribution in the network (degree order). We integrated network degree distribution and degree order heterogeneities with a commonly used contact-based, directly transmitted disease model to quantify the effect of these two sources of heterogeneity on the infectious disease dynamics. Four conditions were simulated based on the combination of these two heterogeneities. Simulation results indicated that disease dynamics and individual contribution to new infections varied substantially among these four conditions under both parameter settings. Changes in the contact network had a greater effect on disease dynamics for pathogens with smaller basic reproduction number (i.e. R 0 , 2). 
 Title: Highly dynamic animal contact network and implications on disease transmission
[A]: True


[Q]: Paragraph: In December 2019, an initial cluster of unexpected interstitial bilateral pneumonia emerged in Wuhan, Hubei province. A human-to-human transmission was immediately assumed and a previously unrecognized entity, termed coronavirus disease 19 (COVID-19) due to a novel coronavirus (2019-nCov) was suddenly described. The infection has rapidly spread out all over the world and Italy has been the first European Country experiencing the endemic wave with unexpected clinical severity in comparison with Asian countries. It has recently been shown that 2019-nCov utilizes host receptors namely angiotensin converting enzyme 2 (ACE2) as host receptor and host proteases for cell surface binding and internalization. Thus, a predisposing genetic background can give reason for interindividual disease susceptibility and/or severity. Taking advantage of the Network of Italian Genomes (NIG), here we mined around 7000 exomes from 5 different Centers looking for ACE2 variants. A number of variants with a potential impact on protein stability were identified. Among these, three missense changes, p.Asn720Asp, p.Lys26Arg, p.Gly211Arg (MAF 0.002 to 0.015), which have never been reported in the Eastern Asia population, were predicted to interfere with protein u and stabilization. Rare truncating variants likely interfering with the internalization process and one missense variant, p.Trp69Cys, predicted to interfere with 2019-nCov spike protein binding were also observed. These findings suggest that a predisposing genetic background may contribute to the observed inter-individual clinical variability associated with COVID-19. They allow an evidence-based risk assessment opening up the way to personalized preventive measures and therapeutic options. All rights reserved. No reuse allowed without permission. author/funder, who has granted medRxiv a license to display the preprint in perpetuity. 
 Title: ACE2 variants underlie interindividual variability and susceptibility to COVID-19 in Italian population ACE2 gene variants in Italian population
[A]:
False