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: We recently observed six cases of generalized dermatitis associated with Malassezia overgrowth in cats presented to the Veterinary College of Alfort, France. Elevated numbers of yeasts were observed in lesional skin by cytology and culture. Skin lesions occurred on the face, ventral neck, abdomen and ear canals and were characterized by some degree of alopecia, erythema and crusting. In most cases, pruritus was intense. The species M. pachydermatis was systematically isolated. 
 Title: Generalized dermatitis associated with Malassezia overgrowth in cats: A report of six cases in France
Example Output: True

Example Input: Paragraph: Accumulating evidence suggests that human γδ T cells act as non-classical T cells and contribute to both innate and adaptive immune responses in infections. Vγ2 Vδ2 T (also termed Vγ9 Vδ2 T) cells exist only in primates, and in humans represent a dominant circulating γδ T-cell subset. Primate Vγ2 Vδ2 T cells are the only γδ T cell subset capable of recognizing microbial phosphoantigen. Since nonhuman primate Vγ2 Vδ2 T cells resemble their human counterparts, indepth studies have been undertaken in macaques to understand the biology and function of human Vγ2 Vδ2 T cells. This article reviews the recent progress for immune biology of Vγ2 Vδ2 T cells in infections. 
 Title: Immune biology of Ag-specific γδ T cells in infections
Example Output: True

Example Input: Paragraph: publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. Original Research COPD journal.publications.chestnet.org CHEST / 144 / 2 / AUGUST 2013 S tudies of COPD that have used self-report of possible COPD exacerbations detect one-third to onehalf of all exacerbations that occur. 1-4 Participants using paper-based data recording in studies of respiratory diseases often falsify data, 5,6 and the likelihood of this occurring increases with the length of the study. In one randomized trial of electronic symptom record ing vs monitored paper-based recording, actual compliance was 94% in the electronic group, whereas fabricated compliance with paper-based recording was 73%. 7 COPD exacerbations requiring hospital treatment are more frequent in winter. 8-10 Peaks in both COPD hospitalization and mortality occur in England at year-end 11,12 and have been observed to be centered on the Christmas period in the United Kingdom, Canada, and Sweden. 12 In the Toward a Revolution in COPD Health (TORCH) study, the highest rates of COPD exacerbations for northern hemisphere participants occurred in December, with the nexthighest in January. 13 Furthermore, children's presentations to general practitioners in England and Wales for acute bronchitis and hospitalization for respiratory diseases increase immediately before the Christmas period, 14 preceding peaks in adults. 14,15 Periods of school attendance and high levels of respiratory virus detection in children have been shown to coincide Background: Paper-based diaries and self-report of symptom worsening in COPD may lead to underdetection of exacerbations. Epidemiologically, COPD exacerbations exhibit seasonal patterns peaking at year-end. We examined whether the use of a BlackBerry-based daily symptom diary would detect 95% or more of exacerbations and enable characterization of seasonal differences among them. December 2008. Participants transmitted daily symptom diaries using a BlackBerry. Alerts were triggered when symptom changes, missed diary transmissions, or medical care for a respiratory problem occurred. Participant encounters were initiated if COPD exacerbations were suspected. Participants used their BlackBerrys to report returns to normal breathing. Results: Participants transmitted 99.9% of 28,514 possible daily diaries. All 191 (2.5/participant-year) COPD exacerbations meeting Anthonisen criteria were detected. During 148 of the 191 exacerbations (78%, 1.97/participant-year), patients were hospitalized and/or ordered prednisone, an antibiotic, or both. Respiratory viruses were detected in 78 of the 191 exacerbations (41%). Those coinciding with a respiratory viral infection averaged 12.0 days, and those without averaged 8.9 days ( P , .04), with no difference in Anthonisen score. Respiratory symptom scores before exacerbations and after normal breathing return showed no differences. Exacerbations were more frequent during the Christmas period than the rest of the year but were not more frequent than in the rest of winter alone. Conclusions: Smartphone-based collection of COPD symptom diaries enables near-complete identifi cation of exacerbations at inception. Exacerbation rates in the Christmas season do not reach levels that necessitate changes in disease management. CHEST 2013; 144(2):507-514 
 Title: Detection of COPD Exacerbations and Compliance With Patient-Reported Daily Symptom Diaries Using a Smartphone- Based Information System
Example Output:
False