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".

Input: Consider Input: Paragraph: Identity (ID) badges and lanyards worn by pediatric health care workers (HCWs) have been shown to be potential vectors of nosocomial bacterial infections. This cross-sectional study determined the contamination of ID badges and lanyards worn by pediatric HCWs with common respiratory and gastrointestinal viruses. The results showed that ID badges and lanyards are not significantly contaminated with common respiratory or gastrointestinal viruses and are unlikely to be a significant vector for nosocomial infection. 
 Title: Are identity badges and lanyards in pediatrics potentially contaminated with viral pathogens?

Output: True


Input: Consider Input: Paragraph: Background: Healthcare personnel often use incorrect technique for donning and doffing of personal protective equipment (PPE). Objective: We tested the hypothesis that medical students receive insufficient training on correct methods for donning and doffing PPE. Methods: We conducted a cross-sectional survey of medical students on clinical rotations at two teaching hospitals to determine the type of training they received in PPE technique. The students performed simulations of contaminated PPE removal with fluorescent lotion on gloves and were assessed for correct PPE technique and skin and/or clothing contamination. To obtain additional information on PPE training during medical education, residents, fellows, and attending physicians completed written questionnaires on PPE training received during medical school and on knowledge of PPE protocols recommended by the Centers for Disease Control and Prevention. Results: Of 27 medical students surveyed, only 11 (41%) reported receiving PPE training, and none had received training requiring demonstration of proficiency. During simulations, 25 of 27 (92.5%) students had one or more lapses in technique and 12 (44%) contaminated their skin with fluorescent lotion. For 100 residents, fellows and attending physicians representing 67 different medical schools, only 53% reported receiving training in use of PPE and only 39% selected correct donning and doffing sequence. Conclusions: Our findings suggest that there is a need for development of effective strategies to train medical students in correct use of PPE. 
 Title: Do medical students receive training in correct use of personal protective equipment?

Output: True


Input: Consider Input: Paragraph: The relative motion of moving objects is an essential research topic in geographical information science (GIScience), which supports the innovation of geodatabases, spatial indexing, and geospatial services. This analysis is very popular in the domains of urban governance, transportation engineering, logistics and geospatial information services for individuals or industrials. Importantly, data models of moving objects are one of the most crucial approaches to support the analysis for dynamic relative motion between moving objects, even in the age of big data and cloud computing. Traditional geographic information systems (GIS) usually organize moving objects as point objects in absolute coordinated space. The derivation of relative motions among moving objects is not efficient because of the additional geo-computation of transformation between absolute space and relative space. Therefore, current GISs require an innovative approach to directly store, analyze and interpret the relative relationships of moving objects to support their efficient analysis. This paper proposes a relative space-based GIS data model of moving objects (RSMO) to construct, operate and analyze moving objects' relationships and introduces two algorithms (relationship querying and relative relationship dynamic pattern matching) to derive and analyze the dynamic relationships of moving objects. Three scenarios (epidemic spreading, tracker finding, and motion-trend derivation of nearby crowds) are implemented to demonstrate the feasibility of the proposed model. The experimental results indicates the execution times of the proposed model are approximately 5-50% those of the absolute GIS method for the same function of these three scenarios. It's better computational performance of the proposed model when analyzing the relative relationships of moving objects than the absolute methods in a famous commercial GIS software based on this experimental results. The proposed approach fills the gap of traditional GIS and shows promise for relative space-based geo-computation, analysis and service. 
 Title: ISPRS Journal of Photogrammetry and Remote Sensing Relative space-based GIS data model to analyze the group dynamics of moving objects


Output: True