The polka dot tree frog (Hypsiboas punctatus) glows under a blacklight, due to the presence of three fluorescent molecules in its lymph tissue and skin. Source: Scientists Discover First Fluorescent Frog | The Scientist Magazine® These are not plants, but still I know some UV4Plants members will find this post and the original PNAS article interesting. I am suitably posting this from Buenos Aires.
UV4Plants wishes to encourage members to host short workshops on specialist topics, for example, a particular technical approach or aspect of UV-B research. These workshops will be valuable in spreading expertise and promoting collaborations. Workshops would likely attract 10 to 25 people and could be held at any time.
Source: Battening down the hatches: priming plant defense | Global Plant Council Very interesting research from Lancaster University with the participation of Nigel Paul has been highlighted in the Plant Global Council Blog.
This post is copied from my Blog for Students and is to some extent off-topic but relevant to anybody doing research. Norman Matloff (2016) writes in his post: Sadly, the concept of p-values and significance testing forms the very core of statistics. A number of us have been pointing out for decades that p-values are at best underinformative and often misleading… Source: After 150 Years, the ASA Says No to p-values | Mad (Data) Scientist Yesterday, the statement by the American Statistics Association was published on-line in the journal “The American Statistician”. Many statisticians have been aware of the problems of significance tests for a long time, but general practice, teaching and journal instructions and editors’ requirements had not changed. Let’s hope the statement will start real changes in everyday practice. John W. Tukey (1991) has earlier written quite boldly about the problem: Statisticians classically asked the wrong question—and were willing to answer with a lie, one that was often a downright lie. They asked “Are the effects of A and B different?” and they were willing to answer “no.” All we know about the world teaches us that the effects of A and B are always different—in some decimal place—for any A and B. Thus…