"Byzantine diagrams are originated by Byzantine scholars in the early modern period to use as tools for teaching and studying Aristotelian logic. This paper presents pioneering work on employing Byzantine diagrams for checking syllogistic validity through reduction."
"The ultimate goal, I suggest, was a translatio imperii; the establishment of an imperial monarchy in the west that could rival the Habsburg empire, and which in time, perhaps, might even come to imitate the universal glory of the Roman imperium. Not the American Atlantic seaboard, but rather the continent of Europe, with its arms, its learning, and its treasure, was the goal of Bacon’s early imperial vision."
#Image attribution: Yale Center for British Art, CC0, via Wikimedia Commons. Page URL: https://commons.wikimedia.org/wiki/File:Anonymous_-_Sir_Francis_Bacon,_1st_Viscount_St_Alban_-_B1977.14.9772_-_Yale_Center_for_British_Art.jpg
"...our data suggested that the Japanese population could be best modeled by admixtures of three ancestral components (hereafter K1 to K3). K1 to K3 were the highest in Okinawa, Northeast, and West, respectively (Fig. 1D and table S4). K1 (Okinawa) component maintains a relatively stable fraction of around 12% in Hondo subgroups, except for South (which is a region adjacent to Okinawa), with a higher proportion of 22%. K2 (Northeast) and K3 (West) components showed a cline from West to East."
Xiaoxi Liu et al., Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing. Sci. Adv. 10, eadi8419 (2024). DOI: https://www.doi.org/10.1126/sciadv.adi8419
"Infant mortality rates have plummeted over the last 50 years.
Globally, they’ve fallen by over two-thirds, from around 10% in 1974 to less than 3% today.
The study’s researchers estimate that 40% of this decline is due to vaccines."
Hannah Ritchie (2024) - “Vaccines have saved 150 million children over the last 50 years” Published online at OurWorldInData.org. Retrieved from: 'https://ourworldindata.org/vaccines-children-saved' [Online Resource]
🇬🇧 🇪🇺 "Our results show that individuals who lacked wealth are less likely to support leaving the EU, explaining why so many Brexit voters were wealthy, in terms of their property wealth."
Green, J. and Pahontu, R.L. (2024) ‘Mind the Gap: Why Wealthy Voters Support Brexit’, British Journal of Political Science, pp. 1–21. doi: https://doi.org/10.1017/S0007123423000728.
🇬🇧 🇪🇺 "Our results show that individuals who lacked wealth are less likely to support leaving the EU, explaining why so many Brexit voters were wealthy, in terms of their property wealth."
Green, J. and Pahontu, R.L. (2024) ‘Mind the Gap: Why Wealthy Voters Support Brexit’, British Journal of Political Science, pp. 1–21. doi: https://doi.org/10.1017/S0007123423000728.
"Even though it was hoped that machines might overcome human bias, this assumption often fails due to a problematic or theoretically implausible selection of variables that are fed into the model and because of small size, low representativeness, and presence of bias in the training data [5.]."
Suchotzki, K. and Gamer, M. (2024) 'Detecting deception with artificial intelligence: promises and perils,' Trends in Cognitive Sciences [Preprint]. https://doi.org/10.1016/j.tics.2024.04.002.
"While ChatGPT-4 correlates closely with established risk stratification tools regarding mean scores, its inconsistency when presented with identical patient data on separate occasions raises concerns about its reliability."
Heston TF, Lewis LM (2024) ChatGPT provides inconsistent risk-stratification of patients with atraumatic chest pain. PLOS ONE 19(4): e0301854. https://doi.org/10.1371/journal.pone.0301854