Wandering Adventure Party

Inflammation from the respiratory infections seems to be the culprit, study in mice finds.

In fact, it appears we live in a giant cosmic void with roughly 20% lower than the average density of matter.

Okay that’s a little less dramatic than I envisioned given the use of the word “void”

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID affect large numbers of people, and constitute a substantial burden to the U.S. and global economies. The article by Eckey et al., in this issue of PNAS (1), adds to the growing evidence that the two illnesses have much in common. Moreover, the illnesses may represent just two examples of an even larger, recently recognized class of illness: post-acute infection syndromes (PAIS) (2).

Professors and Researchers and Grad Students who are playing the citation/career game.

The appearance of thousands of formulaic biomedical studies has been linked to the rise of text-generating AI tools.

Data from five large open-access health databases are being used to generate thousands of poor-quality, formulaic papers, an analysis has found. Its authors say that the surge in publications could indicate the exploitation of these databases by people using large language models(LLMs) to mass-produce scholarly articles, or even by paper mills — companies that churn out papers to order.

Honestly you don’t needa be one. Just test a couple with a couple different inputs. And a couple different LLMs.

Researchers have been sneaking secret messages into their papers in an effort to trick artificial intelligence (AI) tools into giving them a positive peer-review report.

The Tokyo-based news magazine Nikkei Asiareported last week on the practice, which had previously been discussed on social media. Nature has independently found 18 preprint studies containing such hidden messages, which are usually included as white text and sometimes in an extremely small font that would be invisible to a human but could be picked up as an instruction to an AI reviewer.