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Blog – Page 2909

A recent study published in Nature Machine Intelligence examines a novel deep-learning method known as BigMHC, which can predict when the immune system will respond to triggers from cancer-related protein fragments, thus killing the tumors. This study was led and conducted by a team of researchers at Johns Hopkins University and holds the potential to develop personalized cancer immunotherapies and vaccines.

Rendition of cytotoxic CD8+ T-cells identifying cancer cells via receptor binding neoantigens. (Credit: Image generated by DALL-E 2 from OpenAI)

“Cancer immunotherapy is designed to activate a patient’s immune system to destroy cancer cells,” said Dr. Rachel Karchin, who is a professor of biomedical engineering, oncology and computer science at Johns Hopkins University, and a co-author on the study. “A critical step in the process is immune system recognition of cancer cells through T-cell binding to cancer-specific protein fragments on the cell surface.”

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The Sotheby’s auction house has been named as a defendant in a lawsuit filed by investors who regret buying Bored Ape Yacht Club NFTs that sold for highly inflated prices during the NFT craze in 2021. A Sotheby’s auction duped investors by giving the Bored Ape NFTs “an air of legitimacy… to generate investors’ interest and hype around the Bored Ape brand,” the class-action lawsuit claims.

The boost to Bored Ape NFT prices provided by the auction “was rooted in deception,” said the lawsuit filed in US District Court for the Central District of California. It wasn’t revealed at the time of the auction that the buyer was the now-disgraced FTX, the lawsuit said.

“Sotheby’s representations that the undisclosed buyer was a ‘traditional’ collector had misleadingly created the impression that the market for BAYC NFTs had crossed over to a mainstream audience,” the lawsuit claimed. Lawsuit plaintiffs say that harmed investors bought the NFTs “with a reasonable expectation of profit from owning them.”

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The term ‘Expensive optimization problem’ (EOP) refers to any problem that requires expensive or even unaffordable costs to evaluate candidate solutions. These problems exist in many significant real-world applications.

On the one hand, the “expensive cost” can refer that an evaluation itself that requires abundant time, money and so on. On the other hand, the “expensive cost” is a relative concept rather than an absolute concept in many real-world problems.

For instance, when encountering emergencies like epidemics or , transportation and dispatching can be urgent for supporting daily operations and saving lives, where the time cost of will become too expensive to accept at this time.

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We’ve watched the remarkable evolution of robotics over the past decade with models that can walk, talk and make gestures like humans, undertake tasks from moving heavy machinery to delicately manipulating tiny objects, and maintain balance on two or four legs over rough and hostile terrain.

As impressive as the latest robots are, their accomplishments are largely the result of task-specific programming or remote instruction from humans.

Researchers at ETH Zurich have developed a program that helps robots tackle activities that do not rely on “prerecorded expert demonstrations,” as the developers put it, or “densely engineered rewards.”

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I’d heard that fear of the dark is a protein, Scotophobin A, which can be isolated from the brains of rats. My Chemistry teacher told us that 1-hexanol smelled like cut grass. I watched her draw it once, on the whiteboard. A colorless liquid that, I imagined, smelled like memory, summer term, sports day, an army of ants cresting the summit of a picnic blanket, damp loam after rain.

I’d hoped that studying neuroscience would teach me all about things like that. I imagined watching sunlight refract through a conical flask, some clear liquid roiling inside. “Fear of abandonment is a sequence of seventeen peptides,” our lecturer might say, “isolated from the muscles of the heartbroken.”

“Look here,” he would say, pointing to another vial. “We can synthesize these things in a lab now. This one is awe.”

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A new study led by University of Maryland physicists sheds light on the cellular processes that regulate genes. Published in the journal Science Advances, the paper explains how the dynamics of a polymer called chromatin—the structure into which DNA is packaged—regulate gene expression.

Through the use of machine learning and statistical algorithms, a research team led by Physics Professor Arpita Upadhyaya and National Institutes of Health Senior Investigator Gordon Hager discovered that can switch between a lower and higher mobility state within seconds. The team found that the extent to which chromatin moves inside cells is an overlooked but important process, with the lower mobility state being linked to gene expression.

Notably, (TFs)—proteins that bind specific DNA sequences within the chromatin polymer and turn on or off—exhibit the same mobility as that of the piece of chromatin they are bound to. In their study, the researchers analyzed a group of TFs called , which are targeted by drugs that treat a variety of diseases and conditions.

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We’ve explored bioelectricity in cells. We’ve looked at bioelectricity within the human body. Now, functional use of “electrical engineering” is being found in the realms between.

Physicists learn about electrostatics, the laws governing stationary charges. Then they learn about electrodynamics, the laws governing moving charges. Biologists are finding that life utilizes both systems of laws at all scales, from within the cell to tissues, organs, and entire organisms. Here are some recent discoveries in the emerging science of bioelectricity.

How does that tick jump from its twig onto your clothing as you walk through brush? The answer, says Current Biology, is by hopping on an electrostatic bullet train. A cow or other host animal walking through the bushes carries a net static charge. The tick, regardless of its own charge polarity, is “pulled by these electric fields across air gaps of several body lengths.”

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