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".

Paragraph: Background: Although the mini-clinical evaluation (mini-CEX) exercise has been adapted to a broad range of clinical situations, limited studies of the mini-CEX for postgraduate residency training in emergency medicine (EM) have been documented. Aim: The purpose of this study is to analyze the results of implementing the mini-CEX into the one-month postgraduate residency training in EM. Materials and methods: This study is a retrospective review of mini-CEXs completed by ED faculty members from August 2009 to December 2010. All PGY-1 residents enrolled in this study rotated through the one-month EM training. Each PGY-1 resident received one week of trauma training and three weeks of non-trauma training. The clinical competencies of each PGY-1 resident were evaluated with mini-CEXs, rated by a trauma surgeon and three emergency physicians (EPs). We analyzed the validity of weekly mini-CEX and the impact of seniority and specialty training of ED faculties on observation time, feedback time and rating scores. Results: Fifty-seven ED faculty members (42 EPs and 15 trauma surgeons) evaluated 183 PGY-1 residents during the 17 months of EM training. ED faculties with different specialty training provided similar assessment processes. Most competencies were rated significantly higher by trauma surgeons than by EPs. On the computerized mini-CEX rating, no data was missed and junior EPs rated all competencies significantly higher. The evaluators and PGY-1 residents were generally satisfied with the computerized format. As compared to the first assessment, only some competencies of PGY-1 residents were rated significantly higher in subsequent evaluations. Conclusion: The seniority and specialty training of ED faculty affected the mini-CEX ratings. The computer-based mini-CEX facilitated complete data gathering but showed differences for ED faculty with different levels of seniority. Further studies of the reliability and validity of the mini-CEX for PGY-1 EM training are needed. 
 Title: Implementation of the mini-clinical evaluation exercise in postgraduate Year 1 residency training in emergency medicine: Clinical experience at Chang Gung Memorial Hospital ScienceDirect
False

Paragraph: Objective: Tumor-treating fields are currently used to successfully treat various cancers; however, the specific pathways associated with its efficacy remain unknown in the immune responses. Here, we evaluated tumor-treating fields-mediated initiation of the macrophage-specific immune response. Materials and Methods: We subjected RAW 264.7 mouse macrophages to clinically relevant levels of tumor-treating fields (0.9 V/cm, 150 kHz) and evaluated alterations in cytokine expression and release, as well as cell viability. Additionally, we investigated the status of immunomodulatory pathways to determine their roles in tumor-treating fields-mediated immune activation. Results and Discussion: Our results indicated that tumor-treating fields treatment at 0.9 V/cm decreased cell viability and increased cytokine messenger RNA/protein levels, as well as levels of nitric oxide and reactive oxygen species, relative to controls. The levels of tumor necrosis factor a, interleukin 1b, and interleukin 6 were markedly increased in tumor-treating fields-treated RAW 264.7 cells cocultured with 4T1 murine mammary carcinoma cells compared with those in 4T1 or RAW 264.7 cells with or without tumor-treating fields treatment. Moreover, the viability of 4T1 cells treated with the conditioned medium of tumor-treating fields-stimulated RAW 264.7 cells decreased, indicating that macrophage activation by tumor-treating fields effectively killed the tumor cells. Moreover, tumor-treating fields treatment activated the nuclear factor kB and mitogen-activated protein kinase pathways involved in immunomodulatory signaling. Conclusion: These results provide critical insights into the mechanisms through which tumor-treating fields affect macrophagespecific immune responses and the efficacy of this method for cancer treatment. 
 Title: Tumor-Treating Fields Induce RAW264.7 Macrophage Activation Via NK-kB/MAPK Signaling Pathways
True

Paragraph: Relevant pandemic-spread scenario simulations provide guiding principles for containment and mitigation policy developments. Here we devise a simple model to predict the effectiveness of different mitigation strategies. The model consists of a set of simple differential equations considering the population size, reported and unreported infections, reported and unreported recoveries and the number of Covid-19-inflicted deaths. For simplification, we assume that Covid-19 survivors are immune (e.g. mutations are not considered) and that the virus can only be passed on by persons with undetected infections. While the latter assumption is a simplification (it is neglected that e.g. hospital staff may be infected by detected patients with symptoms), it was introduced here to keep the model as simple as possible. Moreover, the current version of the model does not account for age-dependent differences in the death rates, but considers higher mortality rates due to temporary shortage of intensive care units. Some of the model parameters have been fitted to the reported cases outside of China 1 from January 22 to March 12 of the 2020 Covid-19 pandemic. The other parameters were chosen in a plausible range to the best of our knowledge. We compared infection rates, the total number of people getting infected and the number of deaths in six different scenarios. Social distancing or increased testing can contain or drastically reduce the infections and the predicted number of deaths when compared to a situation without mitigation. We find that mass-testing alone and subsequent isolation of detected cases can be an effective mitigation strategy, alone and in combination with social distancing. However, unless one assumes that the virus can be globally defeated by reducing the number of infected persons to zero, testing must be upheld, albeit at reduced intensity, to prevent subsequent waves of infection. The model suggests that testing strategies can be equally effective as social distancing, though at much lower economical costs. We discuss how our mathematical model may help to devise an optimal mix of mitigation strategies against the Covid-19 pandemic. The website corona-lab.ch provides an interactive simulation tool based on the presented model. The Covid-19 pandemic is a serious threat that can be mitigated by different strategies. Social isolation is currently practiced in most countries in Europe, at least until alternative mitigation strategies can be implemented or therapies and vaccines become available. We have formulated a simple mathematical model to estimate how well social isolation or improved identification of Covid-19 infected people can slow down virus spread and reduce the death toll. 
 Title: Dynamic Modeling to Identify Mitigation Strategies for Covid-19 Pandemic

False