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".

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
True

Paragraph: a summary of the evolution of infectiousness over time. When who-infects-whom is observed, the Nelson-Aalen estimator produces an unbiased estimate of the cumulative hazard function of the contact interval distribution. When who-infects-whom is not observed, we use an EM algorithm to average the Nelson-Aalen estimates from all possible combinations of who-infected-whom consistent with the observed data. This converges to a nonparametric maximum likelihood estimate of the cumulative hazard function that we call the marginal Nelson-Aalen estimate. We study the behavior of these methods in simulations and use them to analyze household surveillance data from the 2009 influenza A(H1N1) pandemic. 
 Title: Nonparametric survival analysis of infectious disease data Summary
True

Paragraph: A series of doubly flexible nucleoside analogues were designed based on the acyclic sugar scaffold of acyclovir and the flex-base moiety found in the fleximers. The target compounds were evaluated for their antiviral potential and found to inhibit several coronaviruses. Significantly, compound 2 displayed selective antiviral activity (CC 50 > 3x EC 50 ) towards human coronavirus (HCoV)-NL63 and Middle East respiratory syndrome-coronavirus, but not severe acute respiratory syndrome-coronavirus. In the case of HCoV-NL63 the activity was highly promising with an EC 50 < 10 μM and a CC 50 > 100 μM. As such, these doubly flexible nucleoside analogues are viewed as a novel new class of drug candidates with potential for potent inhibition of coronaviruses. 
 Title: Design, synthesis and evaluation of a series of acyclic fleximer nucleoside analogues with anti-coronavirus activity Graphical abstract HHS Public Access Author manuscript

True