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".

Example Input: Paragraph: To provide optimal cut-off values of anti-Middle East respiratory syndrome coronavirus (MERS-CoV) serologic tests, we evaluated performance of ELISA IgG, ELISA IgA, IFA IgM, and IFA IgG using 138 serum samples of 49 MERS-CoV-infected patients and 219 serum samples of 219 rRT-PCR-negative MERS-CoV-exposed healthcare personnel and patients. The performance analysis was conducted for two different purposes: (1) prediction of neutralization activity in MERS-CoV-infected patients, and (2) epidemiologic surveillance of MERS-CoV infections among MERS-CoV-exposed individuals. To evaluate performance according to serum collection time, we used 'days post onset of illness (dpoi)' and 'days post exposure (dpex)' assessing neutralization activity and infection diagnosis, respectively. Performance of serologic tests improved with delayed sampling time, being maximized after a seroconversion period. In predicting neutralization activity, ELISA IgG tests showed optimal performance using sera collected after 21 dpoi at cut-off values of OD ratio 0.4 (sensitivity 100% and specificity 100%), and ELISA IgA showed optimal performance using sera collected after 14 dpoi at cut-off value of OD ratio 0.2 (sensitivity 85.2% and specificity 100%). In diagnosis of MERS-CoV infection, ELISA IgG exhibited optimal performance using sera collected after 28 dpex, at a cut-off value of OD ratio 0.2 (sensitivity 97.3% and specificity 92.9%). These new breakpoints are markedly lower than previously suggested values (ELISA IgG OD ratio 1.1, sensitivity 34.8% and specificity 100% in the present data set), and the performance data help serologic tests to be practically used in the field of MERS management.
Title: Suggested new breakpoints of anti-MERS-CoV antibody ELISA titers: performance analysis of serologic tests
Example Output: True

Example Input: Paragraph: Porcine epidemic diarrhea virus (PEDV) is a porcine enteropathogenic coronavirus that has received increasing attention since the emergence of a PEDV variant worldwide. Previous studies have shown that PEDV ORF3 encodes an ion channel protein. However, its influence on cell cycle and subcellular structure still require more research. In this study, we developed a Vero cell line that stably expresses PEDV ORF3 gene. Subcellular localization and influences of PEDV ORF3 on host cells were investigated. We further verified whether or not this gene enhances virus production. The results showed that PEDV ORF3 protein localizes in the cytoplasm and affects cell cycle progression by prolonging the S phase. In addition, the ORF3-expressing Vero cells had more vesicles than the host Vero cells. Furthermore, the attenuated PEDV rather than virulent PEDV could grow better in ORF3-expressing Vero cells. The expression level of the PEDV nucleocapsid protein also increased. These results provided information on the function of PEDV ORF3 and were helpful in understanding the mechanisms of PEDV replication.
Title: Porcine epidemic diarrhea virus ORF3 gene prolongs S-phase, facilitates formation of vesicles and promotes the proliferation of attenuated PEDV
Example Output: True

Example Input: Paragraph: Cancer is a multistep process involving genetic and epigenetic changes in the somatic genome. Genetic mutations as well as environmental factors lead to the initiation, promotion, and progression of cancer. Cancer progression ends in tumor metastasis to distant sites, and metastasis is the major reason for cancer patient deaths. Recent experimental evidence suggests the pivotal role of cancer stem cells. A tumor is heterogeneous and composed of different cell types. The cancer stem cells in the tumor have the capacity both to self-renew and differentiate to sustain the tumor. Features of cancer stem cells are described in this review, with an emphasis on the role that dietary phytochemicals may play in cancer chemoprevention. Ingredients in the diet can inhibit cancer cells and cancer stem cells. These compounds include curcumin from curry, epigallocatechin gallate from green tea, resveratrol from red wine, genistein from soy, sulforaphane from broccoli, and many others. Current research findings advocate the beneficial effects towards cancer chemoprevention via uptake of a combination of different dietary phytochemicals.
Title: Dietary Phytochemicals Target Cancer Stem Cells for Cancer Chemoprevention Cancer and Cancer Stem Cells Biology of Cancer
Example Output:
False