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.

Input: Consider Input: In an effort to rapidly discover lead compounds targeting M pro , two compounds (11a and 11b) were designed and synthesized, both of which exhibited excellent inhibitory activity with an IC 50 value of 0.05 μ M and 0.04 μ M respectively. Significantly, both compounds exhibited potent anti-SARS-CoV-2 infection activity in a cell-based assay with an EC 50 value of 0.42 μ M and 0.33 μ M, respectively. The X-ray crystal structures of SARS-CoV-2 M pro in complex with 11a and 11b were determined at 1.5 Å resolution, respectively. The crystal structures showed that 11a and 11b are covalent inhibitors, the aldehyde groups of which are bound covalently to Cys145 of M pro . Both compounds showed good PK properties in vivo, and 11a also exhibited low toxicity which is promising drug leads with clinical potential that merits further studies.

Output: 1 - purpose, 2 - method, 3 - finding, 4 - finding, 5 - finding, 6 - finding, 7 - finding, 8 - finding, 9 - finding


Input: Consider Input: Standard precautions should be applied to prevent health care-associated infections during every nursing activity. However, adherence to standard precautions was reported to be inadequate. Therefore, this study aimed to identify the rates of standard precaution adherence and the association between perception of patient safety management and standard precaution adherence. In this cross-sectional descriptive study, a convenience sample of nurses was recruited from a university-affiliated teaching hospital in Seoul, Korea. Data were collected using a structured self-report questionnaire. Among the 332 questionnaires returned (response rate: 94.9%), a total of 329 nurses were analyzed. In the present study, the overall standard precaution adherence rate was approximately 53.5%. The multiple linear regression results revealed that participants' perceptions of patient safety management were only significantly associated with standard precaution adherence after adjusting other covariates (β = 0.412, p < 0.001). Nurse supervisors should focus more on raising awareness about nurses' perception of patient safety management based on the specific work environment, such as the total number of nurses working together and the nurse-to-patient ratio. Nurse educators should develop integrated curricula to help graduate nurses transition smoothly into professional practice and enhance adherence to standard precautions in diverse health care settings.

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


Input: Consider Input: Direct-acting antivirals are effective tools to control viral infections. SARS-CoV-2 is a coronavirus associated with the epidemiological outbreak in late 2019. Previous reports showed that HIV-1 protease inhibitors could block SARS-CoV main protease. Based on that and using an in silico approach, we evaluated SARS-CoV-2 main protease as a target for HIV-1 protease inhibitors to reveal the structural features related to their antiviral effect. Our results showed that several HIV inhibitors such as lopinavir, ritonavir, and saquinavir produce strong interaction with the active site of SARS-CoV-2 main protease. Furthermore, broad library protease inhibitors obtained from PubChem and ZINC (www.zinc.docking.org) were evaluated. Our analysis revealed 20 compounds that could be clustered into three groups based on their chemical features. Then, these structures could serve as leading compounds to develop a series of derivatives optimizing their activity against SARS-CoV-2 and other coronaviruses. Altogether, the results presented in this work contribute to gain a deep understanding of the molecular pharmacology of SARS-CoV-2 treatment and validate the use of protease inhibitors against SARS-CoV-2.


Output: 1 - background, 2 - background, 3 - background, 4 - background, 5 - finding, 6 - finding, 7 - finding, 8 - finding, 9 - finding, 10 - finding, 11 - finding