applying Hoyle’s principle here…??//Coronavirus – we need to learn from Darwin – Redline – 1848+: The End(s) of History

This is a good example of the way the fallacies of darwinism persist and operate. We cited Hoyle again today: natural selection can never be right, so where does this article go wrong? There are a …

Source: applying Hoyle’s principle here…??//Coronavirus – we need to learn from Darwin – Redline – 1848+: The End(s) of History

Seeds in Tibet face impacts from climate change: Warming and increased precipitation tests the resilience of soil seed banks against harm done by climate change — ScienceDaily

A new study examines how warming and increased precipitation (rain and snow) harms the seeds in the ground of the Tibetan Plateau and elsewhere.

Source: Seeds in Tibet face impacts from climate change: Warming and increased precipitation tests the resilience of soil seed banks against harm done by climate change — ScienceDaily

‘Living fossil’ may upend basic tenet of evolutionary theory: Natural selection’s reach extends beyond genome into epigenome, study suggests — ScienceDaily

A research team has discovered the first conclusive evidence that selection may also occur at the level of the epigenome — a term that refers to an assortment of chemical ‘annotations’ to the genome that determine whether, when and to what extent genes are activated — and has done so for tens of millions of years.

Source: ‘Living fossil’ may upend basic tenet of evolutionary theory: Natural selection’s reach extends beyond genome into epigenome, study suggests — ScienceDaily

Natural selection: a error even amateurs can expose…//Fred Hoyle: natural selection can never be right…

Selectionist theory is a strange gift to amateurs to bypass professionals and expose the ideological and pseudo-scientific claims of darwinian/neo-darwinian biologists… This article (at least…

Source: Natural selection: a error even amateurs can expose…//Fred Hoyle: natural selection can never be right… – 1848+: The End(s) of History

Artificial intelligence yields new antibiotic: A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria 

Using a machine-learning algorithm, researchers have identified a powerful new antibiotic compound. In laboratory tests, the drug killed many of the world’s most problematic disease-causing bacteria, including some strains that are resistant to all known antibiotics. It also cleared infections in two different mouse models.

Source: Artificial intelligence yields new antibiotic: A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria — ScienceDaily