TASK DEFINITION: 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".
PROBLEM: Paragraph: A divergent rotavirus I was detected using viral metagenomics in the feces of a cat with diarrhea. The eleven segments of rotavirus I strain Felis catus encoded non-structural and structural proteins with amino acid identities ranging from 25 to 79% to the only two currently sequenced members of that viral species both derived from canine feces. No other eukaryotic viral sequences nor bacterial and protozoan pathogens were detected in this fecal sample suggesting the involvement of rotavirus I in feline diarrhea. 
 Title: Rotavirus I in feces of a cat with diarrhea

SOLUTION: False

PROBLEM: Paragraph: The prevention of airborne infections in emergency departments is a very important issue. This study investigated the effects of architectural features on airborne pathogen dispersion in emergency departments by using a CFD (computational fluid dynamics) simulation tool. The study included three architectural features as the major variables: increased ventilation rate, inlet and outlet diffuser positions, and partitions between beds. The most effective method for preventing pathogen dispersion and reducing the pathogen concentration was found to be increasing the ventilation rate. Installing partitions between the beds and changing the ventilation system's inlet and outlet diffuser positions contributed only minimally to reducing the concentration of airborne pathogens. 
 Title: Case Study of Airborne Pathogen Dispersion Patterns in Emergency Departments with Different Ventilation and Partition Conditions

SOLUTION: False

PROBLEM: Paragraph: Mathematical models that describe the global spread of infectious diseases such as influenza, severe acute respiratory syndrome (SARS), and tuberculosis (TB) often consider a sample of international airports as a network supporting disease spread. However, there is no consensus on how many cities should be selected or on how to select those cities. Using airport flight data that commercial airlines reported to the Official Airline Guide (OAG) in 2000, we have examined the network characteristics of network samples obtained under different selection rules. In addition, we have examined different size samples based on largest flight volume and largest metropolitan populations. We have shown that although the bias in network characteristics increases with the reduction of the sample size, a relatively small number of areas that includes the largest airports, the largest cities, the most-connected cities, and the most central cities is enough to describe the dynamics of the global spread of influenza. The analysis suggests that a relatively small number of cities (around 200 or 300 out of almost 3000) can capture enough network information to adequately describe the global spread of a disease such as influenza. Weak traffic flows between small airports can contribute to noise and mask other means of spread such as the ground transportation. Citation: Bobashev G, Morris RJ, Goedecke DM (2008) Sampling for Global Epidemic Models and the Topology of an International Airport Network. PLoS ONE 3(9): e3154. 
 Title: Sampling for Global Epidemic Models and the Topology of an International Airport Network

SOLUTION:
False