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A team of mathematicians and statisticians from the University of Wisconsin-La Crosse, the University of Tennessee and Valparaiso University, all in the U.S., has found new evidence that wolves had ample time to self-domesticate and evolve into modern dogs. In their study published in the journal Proceedings of the Royal Society B, the group developed a computer simulation showing the evolution process.

Prior research has suggested that the process of self-domesticating and then slowly evolving into modern dogs would have taken too long. Additionally, researchers believe that humans and dogs have been living in close proximity for approximately 30,000 years and that for the past 15,000 years, humans have been breeding them to perform certain tasks. But what happened in the first 15,000 years is less clear.

Some have suggested that humans may have begun encouraging the friendliest to hang around by adopting their puppies, finding their presence advantageous. Others have suggested that wolves moved ever closer to groups of humans for access to leftover food. But this , others have noted, would take more than 15,000 years to reach the point where humans began breeding them.

The Open Encyclopedia of Cognitive Science (OECS) is a free, online collection of multidisciplinary peer-reviewed articles on various topics in cognitive science. Officially launched last August by MIT Press, the OECS is a successor to the MIT Encyclopedia of Cognitive Science. It currently has around 80 articles, with more to come, on topics such as: Social Epistemology by Mandi Astola and Mark Alfano The Mind-Body Problem by Tim Crane Bodily Sensations by Frédérique de Vignemont Personal/Subpersonal Distinction by Zoe Drayson Conceptual Analysis by Frank Jackson Natural Kinds by Muhammad Ali Khalidi Cognitive Ontology by Colin Klein Free Will by Neil Levy Experimental Philosophy by Edouard Machery Metacognition by Joëlle Proust …to pick just ten. The editors of OECS are Michael C. Frank of Stanford University and Asifa Majid of the University of Oxford. You can check it out here.

MIT researchers demonstrated the first fully 3D-printed, droplet-emitting electrospray engine. The low-cost device can be fabricated more quickly than traditional thrusters, potentially from on board a spacecraft, and could enable CubeSats to perform precise, in-orbit maneuvers, aiding space research projects.

Standing at the intersection between mathematics and the tiler’s trade is the so-called einstein problem. Despite its name, this mathematical question has nothing to do with the Nobel Prize winner Albert Einstein. It asks: Can you seamlessly tile an endless surface with a single shape (an “einstein”) in such a way that the resulting pattern is never repeated? Such a “proto-tile” was first discovered in 2022 by the English amateur mathematician David Smith.

Empa researcher Karl-Heinz Ernst is neither a mathematician nor a tiler. As a chemist, he researches the crystallization of molecules on . He never expected to deal with the einstein problem in his professional life—until his doctoral student Jan Voigt approached him with the unusual results of an experiment.

When a certain molecule crystallized on a , instead of the expected regular structure, irregular patterns were formed that never seemed to repeat themselves. Even more surprising: Each time he repeated the experiment, different aperiodic patterns emerged.

In a new study published in Science, a Belgian research team explores how genetic switches controlling gene activity define brain cell types across species. They trained deep learning models on human, mouse, and chicken brain data and found that while some cell types are highly conserved between birds and mammals after millions of years of evolution, others have evolved differently.

The findings not only shed new light on evolution; they also provide powerful tools for studying how shapes different cell types, across species or different disease states.

Our brain, and by extension our entire body, is made up of many different types of cells. While they share the same DNA, all these cell types have their own shape and function. What makes each cell type different is a complex puzzle that researchers have been trying to put together for decades from short DNA sequences that act like switches, controlling which genes are turned on or off.