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 Input:
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 Output:
False


Ex Input:
Paragraph: Nurses are the largest group of healthcare providers and are often the first line responders to a disaster event. Nurses' disaster competence, motivation for disaster engagement, and factors that impact their motivation to respond to disaster events need to be understood. The purposes of the study were to determine the predictive relationships between Taiwanese nurses' disaster competence, anticipatory disaster stress, and motivation for disaster engagement. A cross-sectional design was used to analyze data collected between August 2017 and December 2017 from eight hospitals in southern Taiwan. Ninety participants who met the recruitment criteria completed and returned questionnaires with an 88.24% response rate. Data collection involved administering the Disaster Nursing Competence Questionnaire, Anticipatory Disaster Stress Questionnaire, and the Motivation of Disaster Engagement Questionnaire. The results indicated that anticipatory disaster stress was positively correlated with disaster competence and motivation for disaster engagement. Disaster competence and willingness to join a hospital disaster rescue predicts an individuals' motivation for disaster engagement. The results of the study add to the understanding of factors that correlate with nurses' motivation to participate in disaster events. By understanding these factors, the government and healthcare administrators can design disaster education plans and other strategies to improve Taiwanese nurses' motivation to engage in disaster events. 
 Title: 101545 and Technology

Ex Output:
True


Ex Input:
Paragraph: Background: Feline Infectious Peritonitis (FIP) is a lethal systemic disease, caused by the FIP Virus (FIPV); a virulent mutant of Feline Enteric Coronavirus (FECV). Currently, the viruses virulence determinants and host gene expressions during FIPV infection are not fully understood. Methods: RNA sequencing of Crandell Rees Feline Kidney (CRFK) cells, infected with FIPV strain 79-1146 at 3 hours post infection (h.p.i), were sequenced using the Illumina next generation sequencing approach. Bioinformatic's analysis, based on Felis catus 2X annotated shotgun reference genome, using CLC bio Genome Workbench mapped both control and infected cell reads to 18899 genes out of 19046 annotated genes. Kal's Z test statistical analysis was used to analyse the differentially expressed genes from the infected CRFK cells. Real time RT-qPCR was developed for further transcriptional profiling of three genes (PD-1, PD-L1 and A3H) in infected CRFK cells and Peripheral Blood Mononuclear Cells (PBMCs) from healthy and FIP-diseased cats. Results: Based on Kal's Z-test, with False Discovery Rate (FDR) <0.05 and >1.99 fold change on gene expressions, a total of 61 genes were differentially expressed by both samples, where 44 genes were up-regulated and the remainder were down-regulated. Most genes were closely clustered together, suggesting a homogeneous expression. The majority of the genes that were significantly regulated, were those associated with monocytes-macrophage and Th1 cell functions, and the regulation of apoptosis. Real time RT-qPCR developed focusing on 2 up-regulated genes (PD-L1 and A3H) together with an apoptosis associated gene PD-1 expressions in FIPV infected CRFK cells and in PBMCs from healthy and FIP diagnosed cats produced concordant results with transcriptome data. Conclusion: The possible roles of these genes, and their importance in feline coronaviruses infection, are discussed. 
 Title: Transcriptional profiling of feline infectious peritonitis virus infection in CRFK cells and in PBMCs from FIP diagnosed cats

Ex Output:

True