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".

Q: Paragraph: This paper describes a public health alerting approach that has the potential to improve patient care during a public health outbreak and reduce healthcare costs, streamline the process of public health alert management and dissemination, and heighten the crucial feedback loop between public health officials and clinicians. The approach ties public health alerts into the diagnostic process and allows clinicians to more easily determine when an observed medical condition may be related to a more widespread disease outbreak. A prototype Alert Knowledge Repository (AKR) service using this approach was demonstrated within the Health Information and Management Systems Society (HIMSS) and the Public Health Information Network (PHIN) interoperability showcases in April and September 2009, respectively. 
 Title: An Informatics Solution for Informing Care Delivery of Immediate Public Health Risks to Their Patients An Informatics Solution for Informing Care Delivery of Immediate Public Health Risks to Their Patients

A: False
****
Q: Paragraph: The Republic of Korea has not only monumentally progressed socially, economically, and politically since 1948, but has taken the arduous undertaking of reforming the way it reduces disaster risk, mitigates the impact, and prepares for and responds to disasters for a resilient future. The administrative and organizational reforms have not been without its setbacks or obstacles; however, they were not so insurmountable that they could not be overcome by one of Korea's greatest assets: persisting endeavors to build back better and to enhance resilience. Starting with an independent national agency in 2004 to manage natural and human-caused disasters and preparedness, the government quickly realized, through focusing events, it was insufficient to handle the increasing complexity and intensifying of disasters striking the nation. Therefore, through political will and hindsight, it continuously coalesced pertinent disaster management responsibilities into newer and newer agencies until 2016, when it enacted a progressively more ubiquitous and self-propelling agency. However, although the agency is apt for current disasters, it will not be for future disaster, which needs the integration of resilience into Disaster Risk Management (DRM). Therefore, we suggest five tenets on how to make Korea's resilient future as well as for other nations that are and will follow in Korea's footsteps, especially for those nations in Asia and Africa. A future that is resilient against all types of disaster risks, especially being prepared well for "low probability and high impact" focusing events that are located in the long-tail of the Power-law Distribution. 
 Title: Disaster Resilient Future in Korea Resilience • Sustainable Development Goals (SDGs) • Climate Change • Ministry of Public Safety and Security (MPSS) • Sendai Framework for Disaster Risk Reduction • Conference of Parties (COP)

A: True
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Q: Paragraph: A dataset of 103 SARS-CoV isolates (101 human patients and 2 palm civets) was investigated on different aspects of genome polymorphism and isolate classification. The number and the distribution of single nucleotide variations (SNVs) and insertions and deletions, with respect to a "profile", were determined and discussed ("profile" being a sequence containing the most represented letter per position). Distribution of substitution categories per codon positions, as well as synonymous and non-synonymous substitutions in coding regions of annotated isolates, was determined, along with amino acid (a.a.) property changes. Similar analysis was performed for the spike (S) protein in all the isolates (55 of them being predicted for the first time). The ratio Ka/Ks confirmed that the S gene was subjected to the Darwinian selection during virus transmission from animals to humans. Isolates from the dataset were classified according to genome polymorphism and genotypes. Genome polymorphism yields to two groups, one with a small number of SNVs and another with a large number of SNVs, with up to four subgroups with respect to insertions and deletions. We identified three basic nine-locus genotypes: TTTT/TTCGG, CGCC/TTCAT, and TGCC/TTCGT, with four subgenotypes. Both classifications proposed are in accordance with the new insights into possible epidemiological spread, both in space and time. 
 Title: SARS-CoV Genome Polymorphism: A Bioinformatics Study

A:
True
****