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: The cancer burden is a global problem, and oncology nurses should be accountable for delivering safe and effective cancer care and providing the best possible experience for patients. The development and application of evidence-based practice in cancer care is an effective strategy in achieving this goal; however, the journey in which such practice involves may encounter various challenges. In this article, the author discusses her own experience, successful and unsuccessful of such a journey. Both challenges and opportunities are identified, and suggestions put forward for making collaborative efforts. 
 Title: Evidence-Based Practice in Cancer Care Asia-Pacifi c

A: True
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Q: Paragraph: Recent results have provided increasing evidence for the existence of an intermediate membrane compartment between the rough endoplasmic reticulum and the Golgi complex which seems to function in protein sorting and the regulation of membrane traffic in the early part of the exocytic pathway . Localization of resident marker proteins has shown that this compartment consists of both peripheral and central elements . The aim of the present review is to combine the data on the pre-Golgi compartment with previous ideas of membrane traffic at the ER-Golgi interface . We propose a model which describes how mobile, endosome-like elements of the pre-Golgi compartment function in the generation of the compositional andfunctional boundary between the widely distributed ER and the more central4 located Golgi stacks . 
 Title: Pathways of protein sorting and membrane traffic between the rough endoplasmic reticulum and the Golgi complex jaakko Saraste *t and Esa Kuismanent

A: True
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Q: Paragraph: This paper concerns study of the genome of the Wuhan Seafood Market isolate believed to represent the causative agent of the disease COVID-19. This is to find a short section or sections of viral protein sequence suitable for preliminary design proposal for a peptide synthetic vaccine and a peptidomimetic therapeutic, and to explore some design possibilities. The project was originally directed towards a use case for the Q-UEL language and its implementation in a knowledge management and automated inference system for medicine called the BioIngine, but focus here remains mostly on the virus itself. However, using Q-UEL systems to access relevant and emerging literature, and to interact with standard publically available bioinformatics tools on the Internet, did help quickly identify sequences of amino acids that are well conserved across many coronaviruses including 2019-nCoV. KRSFIEDLLFNKV was found to be particularly well conserved in this study and corresponds to the region around one of the known cleavage sites of the SARS virus that are believed to be required for virus activation for cell entry. This sequence motif and surrounding variations formed the basis for proposing a specific synthetic vaccine epitope and peptidomimetic agent. The work can, nonetheless, be described in traditional bioinformatics terms, and readily reproduced by others, albeit with the caveat that new data and research into 2019-nCoV is emerging and evolving at an explosive pace. Preliminary studies using molecular modeling and docking, and in that context the potential value of certain known herbal extracts, are also described. 
 Title: Computers and viral diseases. Preliminary bioinformatics studies on the design of a synthetic vaccine and a preventative peptidomimetic antagonist against the SARS-CoV-2 (2019-nCoV, COVID-19) coronavirus

A:
False
****