In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".

Input: Consider Input: Abstract: Information on global human movement patterns is central to spatial epidemiological models used to predict the behavior of influenza and other infectious diseases. Yet it remains difficult to test which modes of dispersal drive pathogen spread at various geographic scales using standard epidemiological data alone. Evolutionary analyses of pathogen genome sequences increasingly provide insights into the spatial dynamics of influenza viruses, but to date they have largely neglected the wealth of information on human mobility, mainly because no statistical framework exists within which viral gene sequences and empirical data on host movement can be combined. Here, we address this problem by applying a phylogeographic approach to elucidate the global spread of human influenza subtype H3N2 and assess its ability to predict the spatial spread of human influenza A viruses worldwide. Using a framework that estimates the migration history of human influenza while simultaneously testing and quantifying a range of potential predictive variables of spatial spread, we show that the global dynamics of influenza H3N2 are driven by air passenger flows, whereas at more local scales spread is also determined by processes that correlate with geographic distance. Our analyses further confirm a central role for mainland China and Southeast Asia in maintaining a source population for global influenza diversity. By comparing model output with the known pandemic expansion of H1N1 during 2009, we demonstrate that predictions of influenza spatial spread are most accurate when data on human mobility and viral evolution are integrated. In conclusion, the global dynamics of influenza viruses are best explained by combining human mobility data with the spatial information inherent in sampled viral genomes. The integrated approach introduced here offers great potential for epidemiological surveillance through phylogeographic reconstructions and for improving predictive models of disease control.. Title: Unifying Viral Genetics and Human Transportation Data to Predict the Global Transmission Dynamics of Human Influenza H3N2

Output: yes

Input: Consider Input: Abstract: Publisher Summary The budding yeast Saccharomyces cerevisiae ( S. cerevisiae ) divides asymmetrically. In vegetative growth, yeast cells reproduce by budding, and the position where the bud forms ultimately determines the plane of cell division. This chapter describes the detailed procedures for the separation and isolation of mothers and daughters. These protocols have been used by investigators studying aging, bud site selection, and other aspects of asymmetric cell division. The chapter describes the procedures for performing life span analysis by micromanipulation and the steps for the large-scale collection of old cells. At the beginning and the end of a life span, it can be difficult to distinguish mothers from daughters. At most points in the life span, daughter cells are smaller than the mothers that produced them. In addition, mother cells will generally bud a second time before their daughter cells form their first bud. One method for effective isolation of virgin daughter cells from mother cells, but not for recovery of old mothers, is called a "baby machine. " Mother cells are attached to a membrane and allowed to divide. Daughter cells from these attached cells are eluted continuously by washing the membrane.. Title: Separation of mother and daughter cells.

Output: yes

Input: Consider Input: Abstract: Many human tumours show centrosome aberrations, indicating an underlying deregulation of centrosome structure, duplication or segregation. Centrosomes organize microtubule arrays throughout the cell cycle, thereby influencing both tissue architecture and the accuracy of chromosome segregation. But what are the origins of centrosomal abnormalities in tumours, and what impact do they have on the generation of invasive, genetically unbalanced cells during cancer progression?. Title: Targeting A20 Decreases Glioma Stem Cell Survival and Tumor Growth
Output: no