TASK DEFINITION: In this task, you are given a paragraph (from a research paper) and your task is to classify each sentence of the paragraph (assume n sentence) into the following categories: Background, Purpose, Method, Finding/Contribution, or Other. Return the output in this format: 1 - category of sentence 1, 2 - category of sentence 2, ..., n - category of sentence n; where each number indicates the order of the sentence. The categories can be identified using the following questions: 
 Background: - Why is this problem important? - What relevant works have been done before? - What did the previous works miss? - What are the high-level research questions? - How might this help other researchers?
 Purpose: - What specific things do the researchers want to do? - What specific knowledge do the researchers want to know? - What specific hypothesis do the researchers want to test?
 Method: - How did the researchers do it or find it out? - What are the procedures and steps of this research?
 Finding/Contribution: - What did the researchers find out? Did the proposed methods work? - Did things behave as the researchers expected?
Other: put every text fragment that does not fit into any of the categories above here. Put a sentence here if its not in English, is not part of the article, contains numbers and dates, is a caption of a figure or a table, is a formatting error, or you are not sure about it.
PROBLEM: Saudi communities still lack awareness of available protective measures to prevent the transmission of the virus. It is necessary to explore the current information-seeking strategies and preferences for communication tools among the Saudi population to promote dissemination of accurate information. Guided by McGuire's Input-Output Persuasion Model and focusing on input variables (receiver characteristics, sources, message, channel and destination), we explored the current information-seeking strategies and preferences for different communication tools among residents of Riyadh (n ¼ 658). Preferred and sought-after information sources on MERS. Most participants in the sample were female (61.7%), and the majority (98.2%) had internet access at home. The internet was the most commonly used source of information (39.5%) and the most endorsed channel for a MERS awareness campaign. Physicians were the preferred source of information (45.6%), followed by other health care providers (31.3%). In univariate multinomial logistic regression models, males and individuals aged 27 years were more likely to seek information from the internet than from physicians. Residents of southern and western Riyadh preferred physicians as a credible source of information over the Ministry of Health. The results of this survey provide valuable information on how to reach this population and for understanding how to launch an effective MERS risk communication campaign in a Saudi population.

SOLUTION: 1 - background, 2 - background, 3 - background, 4 - method, 5 - method, 6 - method, 7 - method, 8 - method, 9 - method, 10 - method, 11 - method, 12 - method, 13 - finding, 14 - finding

PROBLEM: Conclusion: VIRsiRNApred is the first algorithm for predicting inhibition efficacy of viral siRNAs which is developed using experimentally verified viral siRNAs. We hope this algorithm would be useful in predicting highly potent viral siRNA to aid siRNA based antiviral therapeutics development. The web server is freely available at crdd.

SOLUTION: 1 - finding, 2 - finding, 3 - finding, 4 - finding

PROBLEM: Results: Plasmids differed in core-expression capacity: mouse fibroblasts transfected with pCMVcore, pCMVcoreIRES and pCMVcoreKozak expressed 0.22 ± 0.18, 0.83 ± 0.5, and 13 ± 5 ng core per cell, respectively. Single immunization with highly expressing pCMVcoreKozak induced specific IFN- and IL-2, and weak antibody response. Single immunization with plasmids directing low levels of core expression induced similar levels of cytokines, strong T-cell proliferation

SOLUTION:
1 - finding, 2 - finding, 3 - finding, 4 - finding, 5 - finding

