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: Only a month after the outbreak of pneumonia caused by 2019-nCoV, more than forty-thousand people were infected. This put enormous pressure on the Chinese government, medical healthcare provider, and the general public, but also made the international community deeply nervous. On the 25th day after the outbreak, the Chinese government implemented strict traffic restrictions on the area where the 2019-nCoV had originateddHubei province, whose capital city is Wuhan. Ten days later, the rate of increase of cases in Hubei showed a significant difference (p ¼ 0.0001) compared with the total rate of increase in other provinces of China. These preliminary data suggest the effectiveness of a traffic restriction policy for this pandemic thus far. At the same time, solid financial support and improved research ability, along with network communication technology, also greatly facilitated the application of epidemic prevention measures. These measures were motivated by the need to provide effective treatment of patients, and involved consultation with three major groups in policy formulationdpublic health experts, the government, and the general public. It was also aided by media and information technology, as well as international cooperation. This experience will provide China and other countries with valuable lessons for quickly coordinating and coping with future public health emergencies. 
 Title: Lessons learned from the 2019-nCoV epidemic on prevention of future infectious diseases
[EX A]: False

[EX Q]: Paragraph: Human coronavirus OC43 (HCoV-OC43) is a causative agent of the common cold. The nucleocapsid (N) protein, which is a major structural protein of CoVs, binds to the viral RNA genome to form the virion core and results in the formation of the ribonucleoprotein (RNP) complex. We have solved the crystal structure of the N-terminal domain of HCoV-OC43 N protein (N-NTD) (residues 58 to 195) to a resolution of 2.0Å. The HCoV-OC43 N-NTD is a single domain protein composed of a five-stranded -sheet core and a long extended loop, similar to that observed in the structures of N-NTDs from other coronaviruses. The positively charged loop of the HCoV-OC43 N-NTD contains a structurally well-conserved positively charged residue, R106. To assess the role of R106 in RNA binding, we undertook a series of site-directed mutagenesis experiments and docking simulations to characterize the interaction between R106 and RNA. The results show that R106 plays an important role in the interaction between the N protein and RNA. In addition, we showed that, in cells transfected with plasmids that encoded the mutant (R106A) N protein and infected with virus, the level of the matrix protein gene was decreased by 7-fold compared to cells that were transfected with the wild-type N protein. This finding suggests that R106, by enhancing binding of the N protein to viral RNA plays a critical role in the viral replication. The results also indicate that the strength of N protein/RNA interactions is critical for HCoV-OC43 replication. 
 Title: Crystal structure-based exploration of the important role of Arg106 in the RNA-binding domain of human coronavirus OC43 nucleocapsid protein NIH Public Access Author Manuscript
[EX A]: True

[EX Q]: Paragraph: The ongoing COVID-19 pandemic has reached more than 200 countries and territories worldwide. Given the large requirement of SARS-CoV-2 diagnosis and considering that RNA extraction kits are in short supply, we investigated whether two commercial RT-qPCR kits were compatible with direct SARS-CoV-2 detection from nasopharyngeal swab samples. We show that one of the tested kits is fully compatible with direct SARS-CoV-2 detection suggesting that omission of an RNA extraction step should be considered in SARS-CoV-2 diagnosis. Two coronaviruses, SARS-CoV (severe acute respiratory syndrome coronavirus) and MERS-CoV (Middle East respiratory syndrome coronavirus) caused large-scale severe respiratory syndromes in humans in 2002 and 2013, respectively 1, 2 . A recent outbreak of pneumonia in Wuhan, China declared in December 12 th 2019 led to the isolation and identification of a new human coronavirus, 2019-nCoV (SARS-CoV-2), as the responsible agent of this new acute respiratory syndrome 3 . Since, SARS-CoV-2 and the Coronavirus disease 19 (COVID-19) have spread to more than 200 countries and territories worldwide affecting more than 600,000 people (laboratory-confirmed cases) from which around 28,000 have died by COVID-19 4 . As such, the WHO declared COVID-19 outbreak as a pandemic on March 11 th 2020 5 . Given the rapid spread of the SARS-CoV-2 virus and that an important fraction of the infected individuals remains asymptomatic but still spread the virus 6 , rapid and extensive diagnosis together with the isolation of infected individuals remains as one of the most powerful ways to avoid the spread of new COVID-19 cases. There are several RT-qPCR protocols from different countries that are currently approved by the WHO in order to detect SARS-CoV-2 7 . However, one of the limiting steps of such protocols is RNA extraction from clinical samples, which is currently performed by the use of a limited quantity of approved RNA extraction kits. Since the current demand for those kits largely exceeds their offer, it is necessary to develop alternative strategies allowing a rapid detection of the virus. This becomes more important in middle-and low-income countries, which will not have massive access to kit-based diagnosis 8, 9 . In this sense, it was recently reported that the detection of SARS-CoV-2 by RT-qPCR from a mixed sample could be achieved with non-approved kits but also in the absence of an RNA extraction process 10 . Here, we have extended these preliminary observations by using an RNA extraction-free SARS-CoV-2 detection protocol from nasopharyngeal swab samples from two COVID-19 diagnosed individuals using two commercially available and broadly used RT-qPCR kits. Our data indicate that RNA extraction can be omitted from the protocol at least with one of the tested kits allowing the rapid and reliable detection of SARS-CoV-2 directly from nasopharyngeal swabs samples. 
 Title: SARS-CoV-2 detection from nasopharyngeal swab samples without RNA extraction
[EX A]:
False