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In the early moments following the Big Bang, matter and antimatter should have been created in equal amounts. However, 13.8 billion years later, the Universe is overwhelmingly made of matter, with antimatter nearly absent. This strange imbalance has baffled scientists for decades, hinting that something must have occurred to tilt the balance in favor of matter.

One of the leading theories to explain this disparity is charge–parity (CP) violation, a phenomenon predicted by the Standard Model of particle physics. CP violation refers to a small but measurable difference in how matter and antimatter behave.

However, the Standard Model predicts that the number of CP violations is far too small to account for the vast predominance of matter. So far, CP violation has only been observed in certain particle decays, notably in mesons — particles made of quarks and an antiquark. To truly understand the origins of the matter-antimatter imbalance, scientists need to see CP violation in a broader range of particles, particularly baryons, composed of three quarks.

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Is advanced alien life hiding from human eyes? Join us… and find out!

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In this video, Unveiled takes a closer look at Liu Cixin’s Dark Forest theory!

This is Unveiled, giving you incredible answers to extraordinary questions!

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Google’s Willow chip achieves scalable quantum error correction, reducing errors, and maintaining stability across a million cycles.

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Scientists have discovered a key protein that helps cancer cells avoid detection by the immune system during a type of advanced therapy.

By creating a new drug that blocks this protein, researchers hope to make cancer treatments more effective, especially for hard-to-treat blood cancers. This breakthrough could lead to better survival rates and fewer relapses for patients.

Scientists at City of Hope, one of the leading cancer research and treatment centers in the U.S., have uncovered a key factor that allows cancer cells to evade CAR T cell therapy.

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OpenAI is giving users a new way to talk to its viral chatbot: 1–800-CHATGPT.

By dialing the U.S. number (1−800−242−8478) or messaging it via WhatsApp, users can access an “easy, convenient, and low-cost way to try it out through familiar channels,” OpenAI said Wednesday. At first, the company said callers will get 15 minutes free per month.

The news follows a barrage of updates from OpenAI as part of a 12-day release event. The most notable announcement was the official rollout of Sora, OpenAI’s buzzy AI video-generation tool.

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Researchers at the University of Hawai’i at Mānoa have discovered that a virus, FloV-SA2, encodes one of the proteins needed to make ribosomes, the central engines in all cells that translate genetic information into proteins, the building blocks of life. This is the first eukaryotic virus (a virus that infects eukaryotes, such as plants, animals, fungi) found to encode such a protein.

The research is published in the journal npj Viruses.

Viruses are packets of genetic material surrounded by a protein coating. They replicate by getting inside of a cell where they take over the cell’s replication machinery and direct it to make more viruses. Simple viruses depend almost exclusively on material and machinery provided by the , but larger, more complex viruses code for numerous proteins to aid in their own replication.

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As the amount of genomic data grows, so too does the challenge of organizing it into a usable database. Indeed, the lack of a searchable database of genomic information from the literature has posed a challenge to the research community. Now, Genomenon’s AI-based approach—the Genomenon Genomic Graph (G3) knowledgebase—combines patient and biological data from nearly all published scientific and medical studies, including demographics, clinical characteristics, phenotypes, treatments, outcomes, and disease-associated genes and variants.

Training of the underlying large language model for G3 uses Genomenon’s proprietary, curated genomic datasets. The knowledgebase will power AI-driven predictive models for clinical diagnostics and drug development applications.

The Ann Arbor, MI, based Genomenon—a provider of genomic intelligence solutions—notes that this advancement represents the first time that content from the entire corpus of clinically relevant literature will be captured in a single, searchable knowledgebase.

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