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Categories: Mathematics: Modeling, Physics: General

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The amount of power a microswimmer needs to move can now be determined more easily. Scientists developed a general theorem to calculate the minimal energy required for propulsion. These insights allow a profound understanding for practical applications, such as targeted transport of molecules and substrates.

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The synovium is a membrane-like structure that lines the knee joint and helps to keep the joint happy and healthy, mainly by producing and maintaining synovial fluid. Inflammation of this tissue is implicated in the onset and progression of arthritic diseases such as rheumatoid and osteoarthritis. Therefore, treatments that target the synovium are promising in treating these diseases. However, we need better models in the laboratory that allow us to find and test new treatments. We have developed an organ-on-a-chip based model of the human synovium, and its associated vasculature, to address this need.

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In a surprising new study, researchers have found that the electron beam radiation that they previously thought degraded crystals can actually repair cracks in these nanostructures. The groundbreaking discovery provides a new pathway to create more perfect crystal nanostructures, a process that is critical to improving the efficiency and cost-effectiveness of materials that are used in virtually all electronic devices we use every day.

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Researchers have long been exploring the effect of using tailored laser drives to manipulate the properties of quantum materials away from equilibrium. One of the most striking demonstrations of these physics has been in unconventional superconductors, where signatures of enhanced electronic coherences and super-transport have been documented in the resulting non-equilibrium states. However, these phenomena have not yet been systematically studied or optimized, primarily due to the complexity of the experiments. Technological applications are therefore still far removed from reality. In a recent experiment, this same group of researchers discovered a far more efficient way to create a previously observed metastable, superconducting-like state in K3C60 using laser light.

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Transition metal dichalcogenide (TMD) semiconductors are special materials that have long fascinated researchers with their unique properties. For one, they are flat, one-atom-thick two-dimensional (2D) materials similar to that of graphene. They are compounds that contain different combinations of the transition metal group (e.g., molybdenum, tungsten) and chalcogen elements (e.g., sulfur, selenium, tellurium).

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Artificial intelligence, AI, which finds patterns in complex biological data could eventually contribute to the development of individually tailored healthcare. Researchers have developed an AI-based method applicable to various medical and biological issues. Their models can for instance accurately estimate people's chronological age and determine whether they have been smokers or not.

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Researchers have synthesized a zinc complex based on two zinc centers that absorbs visible light. They demonstrated that this capability depends on the proximity of the zinc ions, where the complex responds to visible light when the zinc atoms are closer. This new property is expected to expand the utility of zinc, which already offers advantages including biological relevance, cost effectiveness, and low toxicity.

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Researchers took a novel approach to explore the way microstructure emerges in a 3D-printed metal alloy: They bombarded it with X-rays while the material was being printed.

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Understanding the interplay between consciousness, energy and matter could bring important insights to our fundamental understanding of reality.

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The interaction between solid matter and positron (the antiparticle of electron) has provided important insights across a variety of disciplines, including atomic physics, materials science, elementary particle physics, and medicine. However, the experimental generation of positronic compounds by bombardment of positrons onto surfaces has proved challenging. In a new study, researchers detect molecular ion desorption from the surface of an ionic crystal when bombarded with positrons and propose a model based on positronic compound generation to explain their results.

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Models built on machine learning in health care can be victims of their own success, according to researchers. Their study assessed the impact of implementing predictive models on the subsequent performance of those and other models.

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Scientists have developed new tools, based on AI language models, that can characterize subtle signatures in the speech of patients diagnosed with schizophrenia.

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A team of computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks--the engines that drive artificial intelligence and machine learning--thereby illuminating a process that has largely been concealed from users.   

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Researchers have developed a 'quantum ruler' to measure and explore the strange properties of multilayered sheets of graphene, a form of carbon. The work may also lead to a new, miniaturized standard for electrical resistance that could calibrate electronic devices directly on the factory floor, eliminating the need to send them to an off-site standards laboratory.   

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An international team of researchers has developed a new theoretical framework that bridges physics and biology to provide a unified approach for understanding how complexity and evolution emerge in nature. This new work on 'Assembly Theory' represents a major advance in our fundamental comprehension of biological evolution and how it is governed by the physical laws of the universe.

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Applying machine learning to find the properties of atomic pieces of geometry shows how AI has the power to accelerate discoveries in maths.

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Big data and artificial intelligence (AI) are being used to model hidden patterns in nature, not just for one bird species, but for entire ecological communities across continents. And the models follow each species’ full annual life cycle, from breeding to fall migration to non-breeding grounds, and back north again during spring migration.

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Robots helped achieve a major breakthrough in our understanding of how insect flight evolved. The study is a result of a six-year long collaboration between roboticists and biophysicists.

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Using a novel method, beams of laser light can be deflected using air alone. An invisible grating made only of air is not only immune to damage from the laser light, but it also preserves the original quality of the beam.

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A research team has provided irrefutable proof that certain spherical vortices exist in a stable state.