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: Cervix and Breast cancers are the most common cancers among women worldwide and extract a large toll in developing countries. In May 1998, supported by a grant from the NCI (US), the Tata Memorial Hospital, Mumbai, India, started a cluster-randomized, controlled, screening-trial for cervix and breast cancer using trained primary health workers to provide health-education, visual-inspection of cervix (with 4% acetic acid-VIA) and clinical breast examination (CBE) in the screening arm, and only health education in the control arm. Four rounds of screening at 2-year intervals will be followed by 8 years of monitoring for incidence and mortality from cervix and breast cancers. The methodology and interim results after three rounds of screening are presented here. Good randomization was achieved between the screening (n = 75360) and control arms (n = 76178). In the screening arm we see: High screening participation rates; Low attrition; Good compliance to diagnostic confirmation; Significant downstaging; Excellent treatment completion rate; Improving case fatality ratios. The ever-screened and never-screened participants in the screening arm show significant differences with reference to the variables religion, language, age, education, occupation, income and health-seeking behavior for gynecological and breast-related complaints. During the same period, in the control arm we see excellent participation rate for health education; Low attrition and a good number of symptomatic referrals for both cervix and breast.. Title: Long term pharmacotherapy for obesity and overweight: updated meta-analysis.

Output: no

Input: Consider Input: Abstract: A new technique for the automated tracing of protein chains in experimental electron-density maps is described. The technique relies on the repeated application of an oriented electron-density likelihood target function to identify likely C(alpha) positions. This function is applied both in the location of a few promising ;seed' positions in the map and to grow those initial C(alpha) positions into extended chain fragments. Techniques for assembling the chain fragments into an initial chain trace are discussed.. Title: The Buccaneer software for automated model building. 1. Tracing protein chains.

Output: yes

Input: Consider Input: Abstract: Trihydroxytetraenes, a novel series of oxygenated derivatives formed from arachidonic acid in human leukocytes, were recently isolated [Serhan, C. N., Hamberg, M. & Samuelsson, B. (1984) Biochem. Biophys. Res. Commun. 118, 943-949]. The structure of the major compound was established--i.e., 5,6,15L-trihydroxy-7,9,11,13-icosatetraenoic acid. The present study reports the structure of a second member of the trihydroxytetraene series of compounds--i.e., 5D,14,15L-trihydroxy-6,8,10,12-icosatetraenoic acid. When added to human neutrophils, 5,6,15L-trihydroxy-7,9,11,13-icosatetraenoic acid stimulated superoxide anion generation and degranulation at submicromolar concentrations without provoking a substantial aggregation response. With respect to superoxide anion generation, 5,6,15L-trihydroxy-7,9,11,13-icosatetraenoic acid proved to be as potent as leukotriene B4. In contrast, the compound was approximately 2 orders of magnitude less potent than either leukotriene B4 or fMet-Leu-Phe at provoking degranulation. The results indicate that interaction(s) between the 5- and 15-lipoxygenase pathways of human leukocytes leads to formation of a new series of oxygenated derivatives of arachidonic acid that may be involved in regulating specific cellular responses. The trivial names lipoxin A (5,6,15L-trihydroxy-7,9,11,13-icosatetraenoic acid) and lipoxin B (5D,14,15L-trihydroxy-6,8,10,12-icosatetraenoic acid) are proposed for the new compounds.. Title: Lipoxins: novel series of biologically active compounds formed from arachidonic acid in human leukocytes.
Output: yes