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: Introduction: Outbreaks of infectious diseases trigger an increase in scientific research and output. Early in outbreaks, evidence is scarce, but it accumulates rapidly. We are continuously facing new disease outbreaks, including the new coronavirus (SARS-nCoV-2) in December 2019.The objective of this study was to describe the accumulation of evidence during the 2013-2016 Zika virus (ZIKV) outbreak in the Pacific and the Americas related to aetiological causal questions about congenital abnormalities and Guillain-Barré syndrome. Methods: We hypothesised that the temporal sequence would follow a pre-specified order, according to study design. We assessed 1) how long it takes before findings from a specific study design appear, 2) how publication of preprints could reduce the time to publication and 3) how time to publication evolves over time. Results: We included 346 publications published between March 6, 2014 and January 1, 2019. In the 2013--2016 ZIKV outbreak, case reports, case series and basic research studies were published first. Case-control and cohort studies appeared between 400-700 days after ZIKV was first detected in the region of the study origin. Delay due to the publication process were lowest at the beginning of the outbreak. Only 4.6% of the publications was available as preprints. Discussion: The accumulation of evidence over time in new causal problems generally followed a hierarchy. Preprints reduced the delay to initial publication. Our methods can be applied to new emerging infectious diseases. 
 Title: Emergence of evidence during disease outbreaks: lessons learnt from the Zika virus outbreak

Ex Output:
False


Ex Input:
Paragraph: Annotation The process of adding descriptive information to a data set and the individual data elements that comprise that data set. May include both computational analyses and manual curation. Curation The process of manually adding descriptive information or explanatory material to a data set usually based on a review of the existing literature. Database A collection of information, usually stored electronically on a computer. Database, hierarchical (XML) Extensible markup language. A formally defined hierarchical organization of data. A database software package designed to operate on a particular computer platform and operating system. Database schema A map of the database structure, including all of the fields, tables, and relationships that comprise the framework for storage of information within that database. Database, relational A database structure that provides the ability to define formal relationships between all data elements stored within the database. Ontology A controlled vocabulary used to formally describe (for our purposes) a biological process or entity. SQL Structured Query Language. A computer language used to query relational databases for information. 
 Title: Virus Databases

Ex Output:
False


Ex Input:
Paragraph: To identify barriers to maintaining and applying capabilities of US high-level isolation units (HLIUs) used during the Ebola virus disease outbreak, during 2016 we surveyed HLIUs. HLIUs identified sustainability challenges and reported the highly infectious diseases they would treat. HLIUs expended substantial resources in development but must strategize models of sustainability to maintain readiness. 
 Title: Sustainability of High-Level Isolation Capabilities among US Ebola Treatment Centers DISPATCHES

Ex Output:

True