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".

Example input: Abstract: This study was designed to determine the influence of a long-term, moderate-intensity treadmill training program on the distribution of blood flow within and among muscles of rats during exercise. One group (T) of male Sprague-Dawley rats trained for 1 h/day for 13-17 wk at 30 m/min on a motor-driven treadmill. A second group (UT) of rats was conditioned for 10 min/day for 4 wk at the same speed. Muscle succinate dehydrogenase activities were higher in T than UT rats indicating a significant training effect. Blood flows (BFs) in 32 hindlimb muscles or muscle parts and other selected organs were measured in the two groups with radiolabeled microspheres during preexercise and while the rats ran for 30 s, 5 min, or 15 min at 30 m/min on the treadmill. The data indicate 1) there were no differences in total hindlimb muscle BF between UT and T rats at any time; however, 2) T rats had higher preexercise heart rates and higher muscle BFs in the deep red extensor muscles, suggesting a greater anticipatory response to the impending exercise; 3) T rats demonstrated more rapid elevations in BF in the red extensor muscles at the commencement of exercise; 4) T rats had higher BFs in red extensor muscles during exercise, whereas UT rats had higher BFs in white muscles; and 5) T rats maintained higher BFs in the visceral organs during exercise. These findings demonstrate that exercise training results in changes in the distribution of BF within and among muscles and among organs during exercise. Specifically, data indicate the high-oxidative motor units that are primarily recruited in the muscles during the initial stages of moderate treadmill exercise receive higher blood flows in the trained rats; this presumably contributes to increased resistance to fatigue.. Title: Exercise blood flow patterns within and among rat muscles after training.
Example output: yes
Example explanation: Title is appropriate for the given abstract because the focus of this abstract is cerebral white matter assesment.
Q: Abstract: In recent years, there has been widespread interest and a large number of publications on the application of graph theory techniques into constructing and analyzing biologically-informed gene networks from cancer cell line data sets. Current research efforts have predominantly looked at an overall static, topological, representation of the network, and have not investigated the application of graph theoretical techniques to evolutionary investigations of cancer. A number of these studies have used graph theory metrics, such as degree, betweenness, and closeness centrality, to identify important hub genes in these networks. However, these have not fully investigated the importance of genes across the different stages of the disease. Previous human glioblastoma publications have identified four subtypes of glioblastoma in adults, based on signature genes. In one such publication, Verhaak et al. found that the subtypes correspond to a narrow median survival range, from 11.3 months for the most aggressive subtype, to 13.1 months for the least aggressive one. In this work, we present an evolutionary graph theory study of glioblastoma based on survival data categorization, confirming genes associated with different survival times identified using established graph theory metrics. The work is extending the application of graph theory approaches to evolutionary studies of cancer cell line data.. Title: Investigating survival prognosis of glioblastoma using evolutional properties of gene networks
A:
yes