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: Purpose: Receiving influenza vaccination may increase the risk of other respiratory viruses, a phenomenon known as virus interference. Test-negative study designs are often utilized to calculate influenza vaccine effectiveness. The virus interference phenomenon goes against the basic assumption of the test-negative vaccine effectiveness study that vaccination does not change the risk of infection with other respiratory illness, thus potentially biasing vaccine effectiveness results in the positive direction. This study aimed to investigate virus interference by comparing respiratory virus status among Department of Defense personnel based on their influenza vaccination status. Furthermore, individual respiratory viruses and their association with influenza vaccination were examined. Results: We compared vaccination status of 2880 people with non-influenza respiratory viruses to 3240 people with pan-negative results. Comparing vaccinated to non-vaccinated patients, the adjusted odds ratio for non-flu viruses was 0.97 (95% confidence interval (CI): 0.86, 1.09; p = 0.60). Additionally, the vaccination status of 3349 cases of influenza were compared to three different control groups: all controls (N = 6120), non-influenza positive controls (N = 2880), and pan-negative controls (N = 3240). The adjusted ORs for the comparisons among the three control groups did not vary much (range: 0.46-0.51). Conclusions: Receipt of influenza vaccination was not associated with virus interference among our population. Examining virus interference by specific respiratory viruses showed mixed results. Vaccine derived virus interference was significantly associated with coronavirus and human metapneumovirus; however, significant protection with vaccination was associated not only with most influenza viruses, but also parainfluenza, RSV, and non-influenza virus coinfections. Published by Elsevier Ltd.
Title: Influenza vaccination and respiratory virus interference among Department of Defense personnel during the 2017-2018 influenza season

Answer: False

Question: Paragraph: Ageing individuals are immunologically characterized by loss of immunological protection and responsiveness, and autoimmunity occurs with increased incidence. Here we review studies on specific age-related changes in B cell generation, activation, and maintenance as well as characteristics of B cell responses and antibody levels during ageing in relation to other cells and factors that are interwoven with B cell biological processes. In the elderly, fewer new B cells are generated, B cell responsiveness to antigens is impaired, and smaller and fewer germinal centers are formed within an immune response with participation of less potent T cells and follicular dendritic cells, leading to the production of reduced, often insufficient plasma cell numbers. Recall responses in the elderly appear to be limited by the cells' proliferative capacity. Hence, vaccine responsiveness is often insufficient and autoantibody production emerges in the elderly. In total, B cells appear to be less affected by age as compared with T cells. Recently, new concepts have been developed to counteract immunosenescence beyond active vaccination, comprising the generation of specific monoclonal antibodies for passive vaccination, immune rejuvenation by immunoablation followed by autologous stem cell transplantation, and modulation of lifestyle.
Title: Characteristics of B Cells and B Cell Responses in Aged Individuals

Answer: True

Question: Paragraph: The peptides derived from envelope proteins have been shown to inhibit the protein-protein interactions in the virus membrane fusion process and thus have a great potential to be developed into effective antiviral therapies. There are three types of envelope proteins each exhibiting distinct structure folds. Although the exact fusion mechanism remains elusive, it was suggested that the three classes of viral fusion proteins share a similar mechanism of membrane fusion. The common mechanism of action makes it possible to correlate the properties of self-derived peptide inhibitors with their activities. Here we developed a support vector machine model using sequence-based statistical scores of self-derived peptide inhibitors as input features to correlate with their activities. The model displayed 92% prediction accuracy with the Matthew's correlation coefficient of 0.84, obviously superior to those using physicochemical properties and amino acid decomposition as input. The predictive support vector machine model for self-derived peptides of envelope proteins would be useful in development of antiviral peptide inhibitors targeting the virus fusion process. * The sequences in bold were used in the 75p+75n training set; the rest sequences were used in the 26p+26n test set.
Title: Identification of Peptide Inhibitors of Enveloped Viruses Using Support Vector Machine

Answer:
True