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".

Ex Input:
Paragraph: It is known that the person-to-person spreading of certain infectious diseases is related with the transmission of human exhaled air in the indoor environments, and this is suspected to be the case with the severe acute respiratory syndrome (SARS) outbreak. This paper presents the numerical analysis of the human respiration process and the transport of exhaled air by breathing, sneezing, and coughing and their potential impact on the adjacent person in a modeled room with displacement ventilation. In order to account for the influence of the thermal plume around the human body, a three-dimensional computational thermal manikin (CTM) with an accurate description of body geometry was applied. Some of the results were compared with those from former simulations and experiments. It was found that personal exposure to the exhaled air from the normal respiration process of other persons is very low in a modeled room with displacement ventilation. Personal exposure to pollution caused by sneezing or coughing is highly directional. When two occupants face each other the cross-infection may happen due to the long transport distance of the exhalation. r 
 Title: Transient CFD simulation of the respiration process and inter-person exposure assessment

Ex Output:
False


Ex Input:
Paragraph: Recent results have provided increasing evidence for the existence of an intermediate membrane compartment between the rough endoplasmic reticulum and the Golgi complex which seems to function in protein sorting and the regulation of membrane traffic in the early part of the exocytic pathway . Localization of resident marker proteins has shown that this compartment consists of both peripheral and central elements . The aim of the present review is to combine the data on the pre-Golgi compartment with previous ideas of membrane traffic at the ER-Golgi interface . We propose a model which describes how mobile, endosome-like elements of the pre-Golgi compartment function in the generation of the compositional andfunctional boundary between the widely distributed ER and the more central4 located Golgi stacks . 
 Title: Pathways of protein sorting and membrane traffic between the rough endoplasmic reticulum and the Golgi complex jaakko Saraste *t and Esa Kuismanent

Ex Output:
True


Ex Input:
Paragraph: The ability to use double-stranded RNA to inhibit gene expression sequence-specifically (RNA interference, or RNAi) is currently revolutionizing science and medicine alike. Numerous pre-clinical studies are evaluating RNAi as a novel therapeutic modality in the battle against gain-of-function autosomal dominant diseases, cancer, and viral infections. One emerging concern is that RNAi mono-therapies might ultimately fail to control viruses that can escape silencing by mutation and/or RNAi suppression. Thus, sophisticated strategies are being developed that aim to avert viral resistance by combining RNAi effectors with each other or with further gene expression inhibitors. Several reports already validate this new concept of "combinatorial RNAi" (coRNAi) and illustrate its versatility by describing co-expression of RNAi triggers directed against single or multiple, viral or cellular, targets. Other studies document the successful delivery of these triggers with additional RNA-or protein-based silencers. Moreover, vectors have been engineered to blend RNAi-mediated gene inhibition with conventional gene replacement strategies. Collectively, these efforts open up exciting new therapeutic avenues but could also augment the inherent risks of RNAi technology, including immune responses, off-targeting, and oversaturation of endogenous pathways. Here, we critically review all coRNAi strategies and discuss the requirements for their transition into clinical application. 
 Title: review 878 Combinatorial RNAi: A Winning Strategy for the Race Against Evolving Targets?

Ex Output:

False