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 Q]: Paragraph: The canine infectious respiratory disease complex (CIRDC) is an endemic worldwide syndrome involving multiple viral and bacterial pathogens. Traditionally, Bordetella bronchiseptica (Bb), canine adenovirus type 2 (CAV-2), canine distemper virus (CDV), canine herpesvirus (CHV) and canine parainfluenza virus (CPiV) were considered the major causative agents. Lately, new pathogens have been implicated in the development of CIRDC, namely canine influenza virus (CIV), canine respiratory coronavirus (CRCoV), canine pneumovirus (CnPnV), Mycoplasma cynos and Streptococcus equi subspecies zooepidemicus. To better understand the role of the different pathogens in the development of CIRDC and their epidemiological relevance in Europe, prevalence data were collected from peerreviewed publications and summarized. Evidence of exposure to Bb is frequently found in healthy and diseased dogs and client-owned dogs are as likely to be infected as kennelled dogs. Co-infections with viral pathogens are common. The findings confirm that Bb is an important cause of CIRDC in Europe. CAV-2 and CDV recovery rates from healthy and diseased dogs are low and the most likely explanation for this is control through vaccination. Seroconversion to CHV can be demonstrated following CIRDC outbreaks and CHV has been detected in the lower respiratory tract of diseased dogs. There is some evidence that CHV is not a primary cause of CIRDC, but opportunistically re-activates at the time of infection and exacerbates the disease. The currently available data suggest that CIV is, at present, neither a prevalent nor a significant pathogen in Europe. CPiV remains an important pathogen in CIRDC and facilitates co-infection with other viral and bacterial pathogens. CnPnV and CRCoV are important new elements in the aetiology of CIRDC and spread particularly well in multi-dog establishments. M. cynos is common in Europe and is more likely to occur in younger and kennelled dogs. This organism is frequently found together with other CIRDC pathogens and is significantly associated with more severe respiratory signs. S. zooepidemicus infection is not common and appears to be a particular problem in kennels. Protective immunity against respiratory diseases is rarely complete, and generally only a reduction in clinical signs and excretion of pathogen can be achieved through vaccination. However, even vaccines that only reduce and do not prevent infection carry epidemiological advantages. They reduce spread, increase herd immunity and decrease usage of antimicrobials. Recommending vaccination of dogs against pathogens of CIRDC will directly provide epidemiological advantages to the population and the individual dog. 
 Title: Aetiology of Canine Infectious Respiratory Disease Complex and Prevalence of its Pathogens in Europe-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). ScienceDirect
[EX A]: False

[EX Q]: Paragraph: Our ability to uncover complex network structure and dynamics from data is fundamental to understanding and controlling collective dynamics in complex systems. Despite recent progress in this area, reconstructing networks with stochastic dynamical processes from limited time series remains to be an outstanding problem. Here we develop a framework based on compressed sensing to reconstruct complex networks on which stochastic spreading dynamics take place. We apply the methodology to a large number of model and real networks, finding that a full reconstruction of inhomogeneous interactions can be achieved from small amounts of polarized (binary) data, a virtue of compressed sensing. Further, we demonstrate that a hidden source that triggers the spreading process but is externally inaccessible can be ascertained and located with high confidence in the absence of direct routes of propagation from it. Our approach thus establishes a paradigm for tracing and controlling epidemic invasion and information diffusion in complex networked systems. ½S i ðt 2 Þ þ S i ðt 6 Þ=2 and hS i ðt 2 þ 1Þi ¼ ½S i ðt 12 Þ þ S i ðt 14 Þ=2 based on the remaining strings marked in different colours (see Methods for more details). CST can be used to reconstruct the neighbouring vector X of node 2 from Y and U from Y ¼ U . X. 
 Title: ARTICLE Reconstructing propagation networks with natural diversity and identifying hidden sources
[EX A]: False

[EX 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
[EX A]:
False