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".

Example Input: Paragraph: A majority of emerging infectious diseases are of zoonotic origin. Metagenomic Next-Generation Sequencing (mNGS) has been employed to identify uncommon and novel infectious etiologies and characterize virus diversity in human, animal, and environmental samples. Here, we systematically reviewed studies that performed viral mNGS in common livestock (cattle, small ruminants, poultry, and pigs). We identified 2481 records and 120 records were ultimately included after a first and second screening. Pigs were the most frequently studied livestock and the virus diversity found in samples from poultry was the highest. Known animal viruses, zoonotic viruses, and novel viruses were reported in available literature, demonstrating the capacity of mNGS to identify both known and novel viruses. However, the coverage of metagenomic studies was patchy, with few data on the virome of small ruminants and respiratory virome of studied livestock. Essential metadata such as age of livestock and farm types were rarely mentioned in available literature, and only 10.8% of the datasets were publicly available. Developing a deeper understanding of livestock virome is crucial for detection of potential zoonotic and animal pathogens and One Health preparedness. Metagenomic studies can provide this background but only when combined with essential metadata and following the "FAIR" (Findable, Accessible, Interoperable, and Reusable) data principles. Viruses 2020, 12, 107 2 of 22 flocks and wild birds, suggesting that pre-existing biosecurity measurements could not keep up with the rate of livestock intensification [16] . In 2007-2010, a large-scale Q fever outbreak was reported in the Netherlands, affecting more than 3500 human cases and resulting in a huge economic loss [17, 18] . A steep increase in the number of goat farms most likely was the driver for the increased prevalence of Coxiella burnetii infections, with animal abortion waves that had gone unnoticed. The policy of voluntary reporting abortion outbreaks to the Animal Health Service hindered the timely detection of the circulation of Q fever, and therefore early interventions. These examples indicate that zoonotic risks in the livestock industry should be carefully managed and adapted to livestock intensification. The One Health approach has been coined for advocating collaboration between multiple stakeholders including veterinarians, clinicians, epidemiologists, virologists, microbiologists, ecologists, and policy makers to prevent and control EIDs through the human-animal-environment interface [19] . Surveillance of livestock and the surrounding environment is a hallmark of early detection but is currently targeted to known risks. Advances in Next-Generation Sequencing (NGS) technologies and rapid development of bioinformatics and computational tools offer new opportunities for EID surveillance in quality and in scale. Particularly, metagenomic NGS (mNGS) allows unbiased detection of all microbes and viruses in a sample, showing potential for timely detection of rare or novel infectious etiologies, as well as for surveillance of foodborne and waterborne viruses [20] [21] [22][23][24][25][26]. However, the use of mNGS as a potential surveillance tool requires a deeper understanding of what is "normal" diversity in humans [27], as well as wildlife [28,29] and farm animals [30]. Characterizing species-specific metagenomes could potentially be used to provide a surveillance baseline for early detection and for tracking of movements of pathogens across different hosts, and has been promoted by projects like the global virome project [31]. However, for such applications, detailed background is needed regarding coverage, representativeness, and biases in the study designs. Here, we conduct a systematic review to identify available literature that performed viral mNGS in common farm animals including cattle, small ruminants (goats and sheep), poultry, and pigs. We reviewed the data and metadata availability and quality of these studies. We further summarized reported viromes of common farm animals in order to translate these efforts as background virus diversity profiles of common farm animals to guide preparedness of diseases at the livestock-human interface. 
 Title: viruses Virus Metagenomics in Farm Animals: A Systematic Review
Example Output: True

Example Input: Paragraph: Infrared thermography (IRT), one of the most valuable tools, is used for noncontact, noninvasive, and rapid monitoring of body temperature; this has been used for mass screening of febrile travelers at places such as airport quarantine stations for over 10 years after the 2003 severe acute respiratory syndrome (SARS) outbreak. The usefulness of thermography for mass screening has been evaluated in many recent studies; its sensitivity varies from 40 to 89.4% under various circumstances. In this chapter, we perform IRT evaluations for detecting febrile international travelers entering Japan at Nagoya Airport, immediately after the SARS epidemic, . The correlation of body surface temperature measured via thermography with the axillary temperature was significant. Through IRT, febrile individuals were detected with good accuracy and the detection accuracy was improved by corroborating surveillance with self-reporting questionnaires. However, there are several limitations associated with the use of IRT for fever screening. For instance, taking antifebrile medications results in rapid modification of the body temperature and directly affects the efficiency of IRT. To solve this unreliability and obtain higher accuracy in mass screening, we have developed a novel infection screening system using multisensor data, i.e., heart and respiration rates are determined by microwave radar in noncontact manner and facial skin temperature is monitored through IRT. The detection accuracy of the system improved, which is notably higher compared to the conventional screening method using only IRT. 
 Title: Applications of Infrared Thermography for Noncontact and Noninvasive Mass Screening of Febrile International Travelers at Airport Quarantine Stations
Example Output: False

Example Input: Paragraph: 【Abstract】 Lung cancer is one of the most common tumor, which lacks of effective clinical treatment to lead to desirable prognosis. According to cancer stem cell hypothesis, lung cancer stem cells are considered to be responsible for carcinogenesis, development, metastasis, recurrence, invasion, resistance to chemotherapy and radiotherapy of lung cancer. In recent years, more and more institutes used glycosylated CD133 epitopes to define, isolate, purify lung cancer stem cells. However, along with deeply research, the application of CD133 epitopes in lung cancer stem cell research is questioned. The utilization and limitation of CD133 epitopes in lung cancer stem cells research for the past few years is summaried in this review. 死率呈明显增高的趋势。虽然近年来在肺癌的诊断和治疗 上有了很大的进展， 但是肺癌患者的5年生存率仍未超过 16% [1] 。肿瘤干细胞学说认为，肺癌组织中一类数量较少 但具有较强的致瘤性、 自我更新、无限增殖以及分化潜能 的细胞是肺癌发生、发展、转移、复发、耐受放化疗以及 肺癌细胞具有侵袭性的主要原因，因其具有干细胞样特 性被称为肺癌干细胞。在肺癌组织中靶定并清除这类肿 瘤干细胞或许会给肺癌的治疗带来更为有效的方案 [2] 。近 年研究发现在人类多种实体肿瘤中存在CD133 + 肿瘤干细 胞，如肺癌、室管膜瘤、前列腺癌、结肠癌、肝癌、喉癌、 黑色素瘤、卵巢癌、胰腺癌 [3] 、 骨肉瘤 [4] 及胆囊癌 [5] 等。随 着在脑肿瘤干细胞中AC133/AC141阳性细胞群的发现， 以 AC133和AC141表位作为标记已经广泛应用于其他实质性 肿瘤干细胞的纯化。有些机构联合应用AC133和AC141表 位作为肿瘤干细胞的标记物。但已有研究 [6] 检测到AC133 与AC141表位表达的不一致；并且即使能够检测到CD133 蛋白的存在其表位也可能缺失 [3] 。此外，有研究 [7, 8] 显示 CD133的表达受氧浓度水平调节。此外还未确定的CD133 的生物学功能、是否存在CD133阴性的肺癌干细胞以及目 前流式细胞术进行细胞分析时存在的潜在技术缺陷，提 示若在实验中用CD133作为肺癌干细胞的标记物需要进 行严密的评估以及慎重的考虑，并且要重视其它一些直接 参与保持肺癌干细胞特性的肿瘤干细胞表面标记物。 1 干细胞与肿瘤干细胞 干细胞是一类具有自我更新、无限增殖和多向分化 潜能的细胞。1959年Mak ino等 [9] 首次提出肿瘤干细胞假 说，并指出肿瘤可能由肿瘤干细胞产生。直到2001年肿瘤 干细胞这一概念才被正式提出。肿瘤干细胞学说认为肿 www.lungca.org 
 Title: 0 1 1 年 1 0 月 第 1 4 卷 第 1 0 期 Chin J Lung Cancer
Example Output:
False