This can take (me) some effort to keep in mind: Whatever the illegitimacy and incompetence of these actors, despite the benefits of refusals and resistance, by assuming power they do make gains—widening gaps in health, in wealth, and in status.
Anyway, this article seemed like it needed a statistical graphic. (The dotted line marks the affirmative action ruling.)
https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2838032
I'm going to hold off watching the alleged remake* in its entirety until i can do so with a participatory audience, but it is evident from the opening sequences that this was a labor of love.
* It was clearly not a remake but an homage.
https://archive.org/details/the-rocky-horror-picture-show-lets-do-the-time-warp-again
The Rocky Horror Picture Show: Let's Do the Time Warp Again (also known as The Rocky Horror Picture Show Event and The Rocky Horror Picture Show) is a 2016...
I'm finally reading this report, and without having even gotten to the main text i'm incuriated by the summary table of criticisms of the state of practice—in particular the strong evidence against the charge of age bias (good) and the lack of evidence that stakeholders have lost confidence in peer review (question-raising).
It makes me happy that other researchers are using the small (Black) southern women data set (left, beside Zachary's karate club) in theoretical work. It's not suitable for benchmarking algorithms, but it's a great example for theoretical concepts in affiliation networks, not to mention pleasantly symmetric. Finding it was one of many rewards of reading the anthropological study "Deep South" from which the widely-used (white) southern women data set was taken.
https://www.sciencedirect.com/science/article/pii/S0378437123004302
I hadn't thought to check for a while, and it turns out that {ordr} has at least one citation that's not from me! This is my second ggplot2 extension, and it delights and gratifies me in no less measure to see it put to solid use.
https://www.frontiersin.org/articles/10.3389/fevo.2023.1096099/full
IntroductionBiological life, atmospheric circulation and the Earth’s climate may be influenced by UV-B radiation. In plants, Ultraviolet Absorbing Compounds (UACs) are an indicator of UV-B exposure, and the abundance of UACs in pollen and spores of embryophytes is measurable using Fourier Transform Infrared (FTIR) micro-Spectroscopy. However, understanding the influence of common chemical pre-treatments on sub-fossil pollen and spores with a view to UV-B reconstruction still requires investigation.MethodsHere, peat samples collected from a Late Holocene raised bog were treated with different chemicals (HCl, KOH, and acetolysis) for varying treatment times (up to 210 min). Pollen or spores of three common taxa (Alnus, Calluna and Sphagnum) were isolated and FTIR spectra obtained on individual grains. The spectra were compared to modern pollen and spore samples collected nearby.ResultsSpectra of modern and sub-fossil samples show several visible differences related to lipid and protoplast contents. The results of chemical treatments on sub-fossil pollen and spores reveal that HCl produced limited changes, while KOH and acetolysis altered several peaks, including the UAC-related aromatic peak at 1516 cm−1. We observe that all treatments modify the FTIR spectra to some degree, from weakest (HCl) to strongest (acetolysis). With respect to reduction of UAC peak area and treatment time, we observe in some cases a significant log-decay relationship, notably for KOH treatment on Ca...