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".
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Question: Paragraph: Dendritic cells (DCs) link the sensing of the environment by the innate immune system to the initiation of adaptive immune responses. Accordingly, DCs are considered to be a major target in the development of immunomodulating compounds. In this study, the effect of niclosamide, a Food and Drug Administrationapproved antihelminthic drug, on the activation of lipopolysaccharide (LPS)-stimulated murine bone marrow-derived DCs was examined. Our experimental results show that niclosamide reduced the pro-inflammatory cytokine and chemokine expression of LPS-activated DCs. In addition, niclosamide also affected the expression of MHC and costimulatory molecules and influenced the ability of the cells to take up antigens. Therefore, in mixed cell cultures composed of syngeneic OVA-specific T cells and DCs, niclosamide-treated DCs showed a decreased ability to stimulate T cell proliferation and IFN-c production. Furthermore, intravenous injection of niclosamide also attenuated contact hypersensitivity (CHS) in mice during sensitization with 2,4-dinitro-1-fluorobenzene. Blocking the LPS-induced activation of MAPK-ERK, JNK and NF-jB may contribute to the inhibitory effect of niclosamide on DC activation. Collectively, our findings suggest that niclosamide can manipulate the function of DCs. These results provide new insight into the immunopharmacological role of niclosamide and suggest that it may be useful for the treatment of chronic inflammatory disorders or DC-mediated autoimmune diseases. 
 Title: Antihelminthic niclosamide modulates dendritic cells activation and function

Answer: True


Question: Paragraph: The structure and function of cells are critically dependent on membranes, which not only separate the interior of the cell from its environment but also define the internal compartments. It is therefore not surprising that the major steps of the life cycle of viruses of animals and plants also depend on cellular membranes. Indeed, interactions of viral proteins with host cell membranes are important for viruses to enter into host cells, replicate their genome, and produce progeny particles. To replicate its genome, a virus first needs to cross the plasma membrane. Some viruses can also modify intracellular membranes of host cells to create a compartment in which genome replication will take place. Finally, some viruses acquire an envelope, which is derived either from the plasma membrane or an internal membrane of the host cell. This paper reviews recent findings on the interactions of viral proteins with host cell membranes during the viral life cycle. 
 Title: Interactions Between Virus Proteins and Host Cell Membranes During the Viral Life Cycle

Answer: False


Question: Paragraph: Background: The amount of information available about millions of different subjects is growing every day. This has led to the birth of new search tools specialized in different domains, because classical information retrieval models have trouble dealing with the special characteristics of some of these domains. Evidence-based Medicine is a case of a complex domain where classical information retrieval models can help search engines retrieve documents by considering the presence or absence of terms, but these must be complemented with other specific strategies which allow retrieving and ranking documents including the best current evidence and methodological quality. Objective: The goal is to present a ranking algorithm able to select the best documents for clinicians considering aspects related to the relevance and the quality of said documents. Methods: In order to assess the effectiveness of this proposal, an experimental methodology has been followed by using Medline as a data set and the Cochrane Library as a gold standard. Results: Applying the evaluation methodology proposed, and after submitting 40 queries on the platform developed, the MAP (Mean Average Precision) obtained was 20.26%. Conclusions: Successful results have been achieved with the experiments, improving on other studies, but under different and even more complex circumstances. with real users [ 5 , 6 ]; nevertheless, there are studies that question whether technology applied to clinical information retrieval is useful and cast doubt on the ability of scientists to search appropriately [7] . Hence, it is necessary to develop algorithms to improve the quality of search results, especially as finding the best studies may suppose a better treatment for patients [8] . An example may be the algorithm proposed in [9] which models quality criteria through fuzzy prototypes in order to filter Personal Health Records (PHRs). This is only one example of documents in Medicine, but there are many other types of documents (review articles, original studies, case reports, etc.) that are important, especially in Evidence-based Medicine (EBM). According to [10] , EBM is "the conscientious, explicit, and judicious use of current best evidence in making decisions about the care of individual patients." Therefore, EBM consists of integrating the best research evidence with clinical expertise and patient values. It is based on two main principles, the application of the best available evidence from the scientific method to medical decision making [11] and the assessment of the quality of evidence of the advantages and disadvantages of treatments [12] . 
 Title: A relevance and quality-based ranking algorithm applied to evidence-base d me dicine

Answer:
True