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If new particles are out there, the Large Hadron Collider (LHC) is the ideal place to search for them. The theory of supersymmetry suggests that a whole new family of partner particles exists for each of the known fundamental particles. While this might seem extravagant, these partner particles could address various shortcomings in current scientific knowledge, such as the source of the mysterious dark matter in the universe, the “unnaturally” small mass of the Higgs boson, the anomalous way that the muon spins and even the relationship between the various forces of nature. But if these supersymmetric particles exist, where might they be hiding?

This is what physicists at the LHC have been trying to find out, and in a recent study of proton–proton data from Run 2 of the LHC (2015–2018), the ATLAS collaboration provides the most comprehensive overview yet of its searches for some of the most elusive types of supersymmetric particles—those that would only rarely be produced through the “weak” nuclear force or the electromagnetic force. The lightest of these weakly interacting supersymmetric particles could be the source of dark matter.

The increased collision energy and the higher collision rate provided by Run 2, as well as new search algorithms and machine-learning techniques, have allowed for deeper exploration into this difficult-to-reach territory of supersymmetry.

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Quantum communications have rapidly progressed toward practical, large-scale networks based on quantum key distributions that spearhead the process. Quantum key distribution systems typically include a sender “Alice,” a receiver “Bob,” who generate a shared secret from quantum measurements for secure communication. Although fiber-based systems are well-suited for metropolitan scale, a suitable fiber infrastructure might not always be in place.

In a new report in npj Quantum Information, Andrej Kržič and a team of scientists developed an entanglement-based, free-space quantum . The platform offered a practical and efficient alternative for metropolitan applications. The team introduced a free-space quantum key distribution system to demonstrate its use in realistic applications in anticipation of the work to establish free-space networks as a viable solution for metropolitan applications in the future global quantum internet.

Quantum communication typically aims to distribute quantum information between two or more parties. A series of revolutionary applications of quantum networks have provided a roadmap towards engineering a full-blown quantum internet. The proposed invention provides a heterogeneous network of special purpose sub-networks with diverse links and interconnects. The concept of quantum key distribution networks have driven this development to pave the way for other distributed processing methods to benchmark the technological maturity of quantum networks in general.

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The positron, the antiparticle of the electron, has the same mass and charge as that of an electron but with the sign flipped for the charge. It is an attractive particle for scientists because the use of positrons has led to important insights and developments in the fields of elementary particle physics, atomic physics, materials science, astrophysics, and medicine.

For instance, positrons are known to be components of antimatter. They are also powerful in detecting lattice defects in solids and semiconductors and in structural analysis of the topmost surface of crystals.

Positronic compounds, namely bound states of positrons with regular atoms, molecules, or ions, represent an intriguing aspect of –matter interactions and have been studied experimentally via observation of positron annihilation in gases. It may be possible to generate new molecules and ions via the formation of positron compounds, but no research has ever been done from such a perspective.

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Did you know (RA) is a long-lasting autoimmune disease that affects joints? The immune system is meant to protect us, but with RA, it attacks healthy tissue. This can cause pain, swelling, stiffness, and loss of joint function.

Caring for yourself when living with RA includes knowing when to rest and when to exercise, occasionally wearing a splint, and managing stress levels.

Find more tips for coping with RA from NIAMS:

What is rheumatoid arthritis? It is a disease that affects multiple joints, resulting in pain, swelling, and stiffness. Tiredness and fever may also be present.

Continue reading “Rheumatoid Arthritis: Diagnosis, Treatment, and Steps to Take” | >

Imagine that the human body is a… More.

How a Small Strand of RNA is Key to Fighting #Cancer.

Called let-7, the microRNA governs formation of the cellular memory pool and is a gift from the dawn of animal life. A team of researchers at the University of Massachusetts Amherst has shown that a single, small strand of microRNA, or miRNA, known as let-7, governs the ability of T-cells to recognize and remember tumor cells. This cellular memory is the basis for how vaccines work. Boosting cellular memory to recognize tumors could help improve cancer therapies. The research, published recently in Nature Communications, suggests a new strategy for the next generation of cancer-fighting immunotherapies.

Imagine that the human body is a fortress, says Leonid Pobezinsky, associate professor of veterinary and animal sciences at UMass Amherst and the paper’s senior author, along with Elena Pobezinskaya, a research assistant professor also in veterinary and animal sciences at UMass. Our bodies have T-cells, which are white blood cells that specialize in fighting both pathogens, think of the common cold, and altered cells of the organism itself, like tumor cells. Most of the time, the T-cells are naïve — mustered out of duty and resting. But when they recognize foreign antigens after bumping into them, they suddenly wake up, turn into killer T-cells and attack whatever the pathogen may be, from the sniffles to COVID, or even cancer. After the killer T-cells have won their battle, most of them die.

Continue reading “How a Small Strand of RNA is Key to Fighting Cancer” | >

Tech companies are investing billions in developing and deploying generative AI. That money needs to be recouped. Recent reports and analysis show that it’s not easy.

According to an anonymous source from the Wall Street Journal, Microsoft lost more than $20 per user per month on generative AI code Github Copilot in the first few months of the year. Some users reportedly cost as much as $80 per month. Microsoft charges $10 per user per month.

It loses money because the AI model that generates the code is expensive to run. Github Copilot is popular with developers and currently has about 1.5 million users who constantly trigger the model to write more code.

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