In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.

Input: Consider Input: Essential oil of star anise as well as phenylpropanoids and sesquiterpenes, for example, trans-anethole, eugenol, β-eudesmol, farnesol, β-caryophyllene and β-caryophyllene oxide, which are present in many essential oils, were examined for their antiviral activity against herpes simplex virus type 1 (HSV-1) in vitro. Antiviral activity was analyzed by plaque reduction assays and mode of antiviral action was determined by addition of the drugs to uninfected cells, to the virus prior to infection or to herpesvirusinfected cells. Star anise oil reduced viral infectivity by >99%, phenylpropanoids inhibited HSV infectivity by about 60-80% and sesquiterpenes suppressed herpes virus infection by 40-98%. Both, star anise essential oil and all isolated compounds exhibited anti-HSV-1 activity by direct inactivation of free virus particles in viral suspension assays. All tested drugs interacted in a dosedependent manner with herpesvirus particles, thereby inactivating viral infectivity. Star anise oil, rich in trans-anethole, revealed a high selectivity index of 160 against HSV, whereas among the isolated compounds only β-caryophyllene displayed a high selectivity index of 140. The presence of β-caryophyllene in many essential oils might contribute strongly to their antiviral ability. These results indicate that phenylpropanoids and sesquiterpenes present in essential oils contribute to their antiviral activity against HSV.

Output: Original Article Screening for Antiviral Activities of Isolated Compounds from Essential Oils


Input: Consider Input: Animal antimicrobial use and husbandry practices increase risk of emerging zoonotic disease and antibiotic resistance. We surveyed 700 households to elicit information on human and animal medicine use and husbandry practices. Households that owned livestock (n=265/459, 57.7%) reported using animal treatments 630 times during the previous 6 months; 57.6% obtained medicines, including antibiotics, from drug-sellers. Government animal health care providers were rarely visited (9.7 %), respondents more often sought animal health care from pharmacies and village doctors (70.6% and 11.9% respectively), citing the latter two as less costly and more successful based on past performance. Animal husbandry practices that could promote the transmission of microbes from animals to humans included: the proximity of chickens to humans (50.1% of households reported that the chickens slept in the bedroom); the shared use of natural bodies of water for human and animal bathing (78.3%); the use of livestock waste as fertilizer (60.9%); and gender roles that dictate that females are the primary care takers of poultry and children (62.8%). In the absence of an effective animal health care system, villagers must depend on local animal health care practitioners for treatment of their animals. Suboptimal use of antimicrobials coupled with unhygienic animal husbandry practices are important risk factors for emerging zoonotic disease and resistant pathogens.

Output: Household animal and human medicine use and animal husbandry practices in rural Bangladesh: risk factors for emerging zoonotic disease and antibiotic resistance HHS Public Access


Input: Consider Input: Background: The amount of information available about millions of different subjects is growing every day. This has led to the birth of new search tools specialized in different domains, because classical information retrieval models have trouble dealing with the special characteristics of some of these domains. Evidence-based Medicine is a case of a complex domain where classical information retrieval models can help search engines retrieve documents by considering the presence or absence of terms, but these must be complemented with other specific strategies which allow retrieving and ranking documents including the best current evidence and methodological quality. Objective: The goal is to present a ranking algorithm able to select the best documents for clinicians considering aspects related to the relevance and the quality of said documents. Methods: In order to assess the effectiveness of this proposal, an experimental methodology has been followed by using Medline as a data set and the Cochrane Library as a gold standard. Results: Applying the evaluation methodology proposed, and after submitting 40 queries on the platform developed, the MAP (Mean Average Precision) obtained was 20.26%. Conclusions: Successful results have been achieved with the experiments, improving on other studies, but under different and even more complex circumstances. with real users [ 5 , 6 ]; nevertheless, there are studies that question whether technology applied to clinical information retrieval is useful and cast doubt on the ability of scientists to search appropriately [7] . Hence, it is necessary to develop algorithms to improve the quality of search results, especially as finding the best studies may suppose a better treatment for patients [8] . An example may be the algorithm proposed in [9] which models quality criteria through fuzzy prototypes in order to filter Personal Health Records (PHRs). This is only one example of documents in Medicine, but there are many other types of documents (review articles, original studies, case reports, etc.) that are important, especially in Evidence-based Medicine (EBM). According to [10] , EBM is "the conscientious, explicit, and judicious use of current best evidence in making decisions about the care of individual patients." Therefore, EBM consists of integrating the best research evidence with clinical expertise and patient values. It is based on two main principles, the application of the best available evidence from the scientific method to medical decision making [11] and the assessment of the quality of evidence of the advantages and disadvantages of treatments [12] .


Output: A relevance and quality-based ranking algorithm applied to evidence-base d me dicine