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Categories: Mathematics: Statistics, Physics: Optics

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Researchers developed a way to help people with amputation or paralysis regain limb control. Their optogenetic technique could offer more precise control over muscle contraction, along with a dramatic decrease in muscle fatigue.

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Researchers describe new microcomb lasers they have developed that overcome previous limitations and feature a simple design that could open the door to a broad range of uses.

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In human populations, it is relatively easy to calculate demographic trends and make projections of the future if data on basic processes such as births and immigration is known. The data, given by individuals, can be also death and emigration, which subtract. In the wild, on the other hand, understanding the processes that determine wildlife demographic patterns is a highly complex challenge for the scientific community. Although a wide range of methods are now available to estimate births and deaths in wildlife, quantifying emigration and immigration has historically been difficult or impossible in many populations of interest, particularly in the case of threatened species.

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Rsearchers have developed the first 3D printable ocular resins, marking a significant breakthrough in manufacturing specialist lenses for implantation in the human eye.

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Two-dimensional materials such as graphene promise to form the basis of incredibly small and fast technologies, but this requires a detailed understanding of their electronic properties. New research demonstrates that fast electronic processes can be probed by irradiating the materials with ions first.

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Scientists have the first direct evidence that the powerful magnetic fields created in off-center collisions of atomic nuclei induce an electric current in 'deconfined' nuclear matter. The study used measurements of how charged particles are deflected when they emerge from the collisions. The study provides proof that the magnetic fields exist and offers a new way to measure electrical conductivity in quark-gluon plasma.

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Using DNA origami, researchers have built a diamond lattice with a periodicity of hundreds of nanometers -- a new approach for manufacturing semiconductors for visible light.

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Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning approaches.

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By studying how bubbles form in a drop of biodiesel, researchers can help future engines get the most energy out of the fuel.

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Researchers have leveraged deep learning techniques to enhance the image quality of a metalens camera. The new approach uses artificial intelligence to turn low-quality images into high-quality ones, which could make these cameras viable for a multitude of imaging tasks including intricate microscopy applications and mobile devices.

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It's one thing to dream up a quantum internet that could send hacker-proof information around the world via photons superimposed in different quantum states. It's quite another to physically show it's possible. That's exactly what physicists have done, using existing Boston-area telecommunication fiber, in a demonstration of the world's longest fiber distance between two quantum memory nodes to date.

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A new type of recyclable resin, made from biosourced materials, has been designed for use in 3D printing applications.

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Researchers have recast diffusion in multicomponent alloys as a sum of individual contributions, called 'kinosons.' Using machine learning to compute the statistical distribution of the individual contributions, they were able to model the alloy and calculate its diffusivity orders of magnitude more efficiently than computing whole trajectories.

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Engineers achieve a wide field-of-hearing acoustic metalens free from aberrations.

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Using interference between two lasers, a research group has created an 'optical conveyor belt' that can move polaritons -- a type of light-matter hybrid particle -- in semiconductor-based microcavities. This work could lead to the development of new devices with applications in areas such as quantum metrology and quantum information.

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Artificial intelligence (AI) computer programs that process MRI results show differences in how the brains of men and women are organized at a cellular level, a new study shows. These variations were spotted in white matter, tissue primarily located in the human brain's innermost layer, which fosters communication between regions.

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A new device that can process information using a small amount of light could enable energy-efficient and secure communications.

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A special review examines highly-cited papers in statistical ecology. The review, which covers a century of research, details how models and concepts have evolved alongside increasing computational power.

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Scientists have made a significant advance in laser plasma acceleration. By employing an innovative method, a research team managed to substantially exceed the previous record for proton acceleration. For the first time, they achieved energies that so far have only seemed possible at much larger facilities. As the research group reported, promising applications in medicine and materials science have now become much likelier.

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Physicists and computer scientists have recently expanded the modern theory of the thermodynamics of computation. By combining approaches from statistical physics and computer science, the researchers introduce mathematical equations that reveal the minimum and maximum predicted energy cost of computational processes that depend on randomness, which is a powerful tool in modern computers.