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: Seasonal hyperacute panuveitis (SHAPU) is a potentially blinding ocular disease occurring in Nepal that principally affects young children. Random amplification of partially purified vitreous fluid (VF)-derived nucleic acid revealed the presence of human anelloviruses in VF of SHAPU patients. In a comparative study of patients with different ocular pathologies, SHAPU patients were at highest risk of harboring anelloviruses in their eyes. The majority of SHAPU patients had multiple anelloviruses in their VF. The ocular anellovirus load in SHAPU and non-SHAPU patients did not differ and no SHAPU-specific anellovirus variant was detected. Analysis of paired serum and VF samples from SHAPU and non-SHAPU patients showed that the anellovirus detected in VF samples most likely originated from the systemic viral pool during viremia, potentially through breakdown of the blood-ocular barrier. The detection of anelloviruses in VF samples of uveitis patients, profoundly so in SHAPU patients, is imperative and warrants elucidation of its clinical significance. 
 Title: High Prevalence of Anelloviruses in Vitreous Fluid of Children With Seasonal Hyperacute Panuveitis

Answer: True


Question: 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

Answer: True


Question: Paragraph: Any infectious diseases have been reported in sub-Saharan countries over the past decade due to the inefficiency of health structures to anticipate outbreaks. In a poorly-infrastructure country such as the Democratic Republic of Congo (DRC), with inadequate health staff and laboratories, it is difficult to respond rapidly to an epidemic, especially in rural areas. As the DRC's health system has three levels (peripheral, regional and national), from the production of health data at the peripheral level to the national level that makes the decision, meantime the disease can spread to many people. Lack of communication between health centres of the same health zone and Health zones of the same Health Provincial Division does not contribute to the regional response. This article, an extended version of [1], proposes a well elaborated solution track to deal with this problem by using an agent-centric approach to study by simulation how to improve the process. A new experiment is described by arranging twentyeight health zones of Kinshasa to show how their collaboration can provide unique health data source for all stakeholders and help reducing disease propagation. It concerns also 47 health centres, 1 medical laboratory, 1 Provincial Health Division and 4 Rapid Riposte Teams. The simulation data, provided by Provincial Health Division of Kinshasa, concerned cholera outbreak from January to December 2017. The interaction between these agents demonstrated that Health Zone Agent can automatically alert his neighbours whenever he encountered a confirmed case of an outbreak. This action can reduce disease propagation as population will be provided with prevention measures. These interactions between agents have provided models to propose to the current system in order to find out the best that can help reducing decision time. Access to health care is a major concern in developing countries. The Democratic Republic of Congo ranks among the poorest countries according to its HDI 1 [2]. Despite its millions of hectares of arable land, this vast country of Central Africa is 1 Human Development Index. 
 Title: A Multiagent-Based Model for Epidemic Disease Monitoring in DR Congo

Answer:
True