TASK DEFINITION: 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".
PROBLEM: Paragraph: People in the Middle East have been affected by the Middle East Respiratory Syndrome CoronaVirus (MERS Co-V) since 2012. New cases are continuously reported especially in the Kingdom of Saudi Arabia, and the risk of exposure remains an issue. Data visualization plays a vital role in effective analysis of the data. In this paper, we introduce an interactive visualization application for MERS data collected from the Control and Command Centre, Ministry of Health website of Saudi Arabia. The data corresponding to the period from January 1, 2019 to February 28, 2019 was used in the present work. The attributes considered include gender, age, date of reporting, city, region, camel contact, description and status of the patient. The visualization tool has been developed using Shiny framework of R programming language. The application presents information in the form of interactive plots, maps and tables. The salient feature of the tool is that users can view and download data corresponding to the period of their choice. This tool can help decision makers in the detailed analysis of data and hence devise measures to prevent the spread of the disease.
Title: Shiny Framework Based Visualization and Analytics Tool for Middle East Respiratory Syndrome

SOLUTION: False

PROBLEM: Paragraph: The World Health Organization (WHO) has declared the 2019 novel coronavirus (2019-nCoV) infection outbreak a global health emergency. Currently, there is no effective anti-2019-nCoV medication. The sequence identity of the 3CL proteases of 2019-nCoV and SARS is 96%, which provides a sound foundation for structural-based drug repositioning (SBDR). Based on a SARS 3CL protease X-ray crystal structure, we construct a 3D homology structure of 2019-nCoV 3CL protease. Based on this structure and existing experimental datasets for SARS 3CL protease inhibitors, we develop an SBDR model based on machine learning and mathematics to screen 1465 drugs in the DrugBank that have been approved by the U.S. Food and Drug Administration (FDA). We found that many FDA approved drugs are potentially highly potent to 2019-nCoV.
Title: Potentially highly potent drugs for 2019-nCoV

SOLUTION: False

PROBLEM: Paragraph: publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. 4 W underink RG, Cammarata SK, Oliphant TH, Kollef MH; Linezolid Nosocomial Pneumonia Study Group : Continuation of a randomized, double-blind, multicenter study linezolid versus vancomycin in the treatment of patients with nosocomial pneumonia. Clin Ther 2003 ; 25 : 980-92. 5 Fung HB, Kirschenbaum HL, Ojofeitimi BO : Linezolid: an oxazolidinone antimicrobiol agent. Clin Ther 2001 ; 23 : 356-91. 6 P erry CM, Jarvis B : Linezolid: a review of its use in the management of serious gram positive infections.
Title: ********** Le taux de mortalite du SRAS a ete estime a 13,2 % chez les moins de 60 ans et a 43,3 % chez les plus de 60 ans Epidemiological determinants of spread of causal agent of severe acute respiratory syndrome in ********** Une maladie cardio-vasculaire et un diabete sont des facteurs de mortalite au cours du SRAS

SOLUTION:
False