It’s Friday again, and that means ‘around the blogs.’ Included are a few links to topics on personal development, science itself, and public understanding of science.
Giant neural stem cells in Times Square – The two winners of GE Healthcare’s 2007 IN Cell Image Competition went on display on the NBC screen in New York City’s Times Square last week. Follow the link and check out the rest of the images, including a lot of gorgeous fluorescent microscopy. (see the image on the right for the winner by popular vote)
How to Give a Bad Science Presentation – Shelley shares a 6-minute video made by two Michigan students that points out some common issues with PowerPointing and how to have your audience salivating for more of your data.
What to do with a PhD outside academia? – Benoit put together a long list of articles and sources for academics to one day find a job, as opposed to the painful pursuit of a grant/postdoc/fellowship/adjunct/part-time/lecturer/etc.
The Choanoflagellate Genome and Metazoan Evolution – PZ describes the importance of studying this single-celled organism and what it can tell us about the key innovations that lead to multicellular organisms. Personally, this is the remarkable feat of evolutionary history that fascinates me more even than the origin of life, but sadly there aren’t any books written on it.
Ecosystem Surprise: Some Bacteria Are Regional – I’m not sure that this is surprising, but researchers recently “realized” that individual bacterial and phage types could have parochial or biogeographical distributions. It is interesting to see them describe those distributions though.
How Stupid Do They Think We Are? – Ian at The Panda’s Thumb debunks creationist misinformation, this time coming from Jonathan Wells of the Discovery Institute, who claimed that antibiotic resistance and natural selection have nothing to do with each other.
Image credit: Carmen Laethem, Aerie Pharmaceuticals, USA
Now we come to the third part of our trifecta; in the last two posts I have gone over p-values and how they determine significance in null hypothesis testing, and we talked about degrees of freedom and their effect on the p-value. Finally, we come to pseudoreplication: where it can all go terribly wrong. Replication […]
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