Lifeboat Foundation

A new study reveals that magnetic fields are common in star systems with large blue stars, challenging prior beliefs and providing insights into the evolution and explosive nature of these massive stars.

Astronomers from the Leibniz Institute for Astrophysics Potsdam (AIP), the European Southern Observatory (ESO), and the MIT Kavli Institute and Department of Physics have discovered that magnetic fields in multiple star systems with at least one giant, hot blue star, are much more common than previously thought by scientists. The results significantly improve the understanding of massive stars and their role as progenitors of supernova explosions.

Characteristics of O-type Stars.

A new paper published in Frontiers in Psychology: Performance Science led by Andy Parra-Martinez at the University of Arkansas “describes the general status, trends, and evolution of research on talent identification across multiple fields globally over the last 80 years,” by drawing from the Scopus and Web of Science databases and conducting a bibliometric analysis of 2,502 documents.

Bibliometric analysis is a way of understanding the structure and citation patterns of research around a given topic, in this case, talent identification research.

Talent identification research is concentrated in business, sports, and education

Continue reading “Identifying Talent In Business, Sports, And Education” »

UCLA department of integrative biology and physiologyluskin endowment for leadership symposiumpushing the boundaries: neuroscience, cognition, and lifemarta…

In 2022, scientists from Northwestern University presented novel observational data indicating that long gamma-ray bursts (GRBs) might originate from the collision of a neutron star with another dense celestial body, such as another neutron star or a black hole — a finding that was previously believed to be impossible.

Now, another Northwestern team offers a potential explanation for what generated the unprecedented and incredibly luminous burst of light.

Continue reading “Scientists Propose New Explanation for ‘Impossible’ Gamma-Ray Burst” »

Go to https://sponsr.is/cs_whatif and use code WHATIFSHOW to save 25% off today. Thanks to Curiosity Stream for sponsoring today’s video.

One thousand years into the future, humans might look like this.

Continue reading “What Will Humans Look Like in 1 Million Years?” »

Talk kindly contributed by Michael Levin in SEMF’s 2023 Interdisciplinary Summer School: https://semf.org.es/school2023/sessions.html#S1TALK ABSTRACTEach of u…

A new wave of scientists argues that mainstream evolutionary theory needs an urgent overhaul. Their opponents have dismissed them as misguided careerists – and the conflict may determine the future of biology.

Stephen Buranyi

One of the most actively debated questions about human and nonhuman culture is this: Under what circumstances might we expect culture, in particular the ability to learn from one another, to be favored by natural selection?

Researchers at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany, have developed a simulation model of the evolution of social learning. They showed that the interplay between learning, memory and forgetting broadens the conditions under which we expect to see social learning to evolve.

Social learning is typically thought to be most beneficial when the environments in which individuals live change quite slowly—they can safely learn tried and tested information from one another and it does not go out of date quickly. Innovating brand-new information, on the other hand, is thought to be useful in dynamic and rapidly changing environments.