Framing the challenge of climate change in Nature and Science editorials

Through their editorialising practices, leading international science journals such as Nature and Science interpret the changing roles of science in society and exert considerable influence on scientific priorities and practices. Here we examine nearly 500 editorials published in these two journals between 1966 and 2016 which deal with climate change, thereby constructing a lens through which to view the changing engagement of science and scientists with the issue. A systematic longitudinal frame analysis reveals broad similarities between Nature and Science in the waxing and waning of editorialising attention given to the topic. But although both journals have diversified how they frame the challenges of climate change, they have done so in different ways. We attribute these differences to three influences: the different political and epistemic cultures into which they publish; their different institutional histories; and their different editors and editorial authorship practices

Cancer recurrence times from a branching process model

As cancer advances, cells often spread from the primary tumor to other parts of the body and form metastases. This is the main cause of cancer related mortality. Here we investigate a conceptually simple model of metastasis formation where metastatic lesions are initiated at a rate which depends on the size of the primary tumor. The evolution of each metastasis is described as an independent branching process. We assume that the primary tumor is resected at a given size and study the earliest time at which any metastasis reaches a minimal detectable size. The parameters of our model are estimated independently for breast, colorectal, headneck, lung and prostate cancers. We use these estimates to compare predictions from our model with values reported in clinical literature. For some cancer types, we find a remarkably wide range of resection sizes such that metastases are very likely to be present, but none of them are detectable. Our model predicts that only very early resections can prevent recurrence, and that small delays in the time of surgery can significantly increase the recurrence probability.Comment: 26 pages, 9 figures, 4 table