Posted in particle physics | Leave a Comment on “Like the Birth of Everything”: Scientists Recreate First Microseconds of Universe to Unveil Wild Behavior of Quark-Gluon Plasma
IN A NUTSHELL 🌌 Quark-gluon plasma dominated the universe’s earliest microseconds, shaping the cosmos we know today. 🔬 Researchers used lattice QCD and Monte Carlo simulations to unravel the complexities of the strong nuclear force. 📈 The study revealed that even at extreme temperatures, the strong force influenced particle behavior more than previously believed. 📚
Discover how scientists imaged the Parkinson’s protein PINK1, unlocking insight into its role in mitochondrial quality control and brain cell survival.
A meditation on the fundamental trade-offs that define our understanding of nature’s deepest mysteries
A large impact could have briefly amplified the moon’s weak magnetic field, creating a momentary spike that was recorded in some lunar rocks. Scientists may have solved the mystery of why the moon shows ancient signs of magnetism although it has no magnetic field today. An impact, such as from a large asteroid, could have generated a cloud of ionized particles that briefly enveloped the moon and amplified its weak magnetic field.
Where did the moon’s magnetism go? Scientists have puzzled over this question for decades, ever since orbiting spacecraft picked up signs of a high magnetic field in lunar surface rocks. The moon itself has no inherent magnetism today.
Now, MIT scientists may have solved the mystery. They propose that a combination of an ancient, weak magnetic field and a large, plasma-generating impact may have temporarily created a strong magnetic field, concentrated on the far side of the moon.
Breast cancer is the most prevalent malignancy among women worldwide and is a major contributor to cancer-related mortality. The tumor microenvironment (TME)…
U.S. astronomers hunting for “Planet Nine” have instead stumbled on what appears to be a new dwarf planet in the solar system’s outer reaches.
IL-12 is dispensable for CD8 T cell responses to mRNA vaccination, but an Il12 mRNA-LNP enhances CD8 T cell memory and protection.
Published by IFERS of Beverley Hills, May 2025.
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From co-authoring seminal research papers to co-founding the research organization that developed ChatGPT, few people have been as influential in shaping the…
The MRI shows a brain tumor in an inauspicious location, and a brain biopsy will entail high risks for a patient who had consulted doctors due to double vision. Situations such as this case prompted researchers at Charité—Universitätsmedizin Berlin to look for new diagnostic procedures. The result is an AI model.
The model makes use of specific characteristics in the genetic material of tumors—their epigenetic fingerprint, obtained for example from cerebrospinal fluid, among other things. As the team shows in the journal Nature Cancer, the new model classifies tumors quickly and very reliably.
Today, far more types of tumors are known than the organs from which they arise. Each tumor has its own characteristics: certain tissue features, growth rates and metabolic peculiarities. Nevertheless, tumor types with similar molecular characteristics can be grouped together. The treatment of the individual disease depends decisively on the type of tumor.
