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Categories: Chemistry: Biochemistry, Engineering: Biometric

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Pushing the MINFLUX technique to higher spatial and temporal precision allows protein dynamics to be observed under physiological conditions.

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The western chimpanzees of Guinea are threatened by mining activities. Using a novel genetic approach, researchers have collected information on population size and community structure of the endangered species. These data provide an important baseline to assess the impact of mining.

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Proteins are the heavy-lifters of biochemistry. These beefy molecules act as building blocks, receptors, processors, couriers and catalysts. Naturally, scientists have devoted a lot of research to understanding and manipulating proteins.

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Micron-sized 'bow ties,' self-assembled from nanoparticles, form a variety of different curling shapes that can be precisely controlled, a research team has shown.

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Breaking a longstanding impasse in our understanding of olfaction, scientists have created the first molecular-level, 3D picture of how an odor molecule activates a human odorant receptor, a crucial step in deciphering the sense of smell.

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Despite recent advancements, many highly sensitive diagnostic tests for viral diseases still require complicated techniques to prepare a sample or interpret a result, making them impractical for point-of-care settings or areas with few resources. But now, a team has developed a sensitive method that analyzes viral nucleic acids in as little as 20 minutes and can be completed in one step with 'glow-in-the-dark' proteins.

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Robots can be useful as mental wellbeing coaches in the workplace -- but perception of their effectiveness depends in large part on what the robot looks like.

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Since the development of functional magnetic resonance imaging in the 1990s, the reliance on neuroimaging has skyrocketed as researchers investigate how fMRI data from the brain at rest, and anatomical brain structure itself, can be used to predict individual traits, such as depression, cognitive decline, and brain disorders. But how reliable brain imaging is for detecting traits has been a subject of wide debate. Researchers now report that stronger links between brain measures and traits can be obtained when state-of-the-art pattern recognition (or 'machine learning') algorithms are utilized, which can garner high-powered results from moderate sample sizes.

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The relatively simple and low-cost procedure could empower laboratories in low-resource areas to generate nanobodies against SARS-CoV-2, as well as other viruses.

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In a world experiencing growing inequality and intolerance, tools borrowed from science and mathematics could be the key to understanding and preventing prejudice. Experts apply evolutionary game theory, which combines techniques from economics and biology, and complex system analysis to investigate the relationship between inequality and intolerance. They found that inequality boosts intolerance and that redistribution of wealth can prevent its infectious spread.

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Researchers create a biomimetic model to study wound healing in burn and laceration wounds. The team designed an in vitro model system made of fibroblasts embedded in a collagen hydrogel. Wounds were created in this microtissue using a microdissection knife to mimic laceration or a high-energy laser to simulate a burn. They discovered that fibroblasts clear away damaged tissue before depositing new material. This part of the healing process is slower in burn wounds.

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The agriculture industry is under pressure to adopt sustainable and precise agricultural practices that enable more efficient use of resources due to worsening environmental conditions resulting from climate change, an ever-expanding human population, limited resources, and a shortage of arable land. As a result, developing delivery systems that efficiently distribute micronutrients, pesticides, and antibiotics in crops is crucial to ensuring high productivity and high-quality produce while minimising resource waste. However, current and standard practices for agrochemical application in plants are inefficient. These practices cause significant detrimental environmental side effects, such as water and soil contamination, biodiversity loss and degraded ecosystems; and public health concerns, such as respiratory problems, chemical exposure and food contamination.

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Bioengineers found that lipid deposition on the surfaces of medical implants can play a mediating role between the body and implants, knowledge that could help scientists develop biomaterials or coatings for implants that could reduce malfunction rates.

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Scientists have developed an osteogenic barrier coating material that maximizes the effect of guided bone regeneration (GBR) for implant placements.

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Scientists have transformed single-cell algae into functional perovskite materials. The team has converted mineral shells of algae into lead halide perovskites with tunable physical properties. The new perovskites have unique nano-architectures unachievable by conventional synthetic production. The method can be applied to the mass production of perovskites with tunable structural and electro-optical properties from single-celled organisms.

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Scientists have hypothesized for over six decades the possibility of observing a form of wave reflections known as temporal, or time, reflections. Researchers detail a breakthrough experiment in which they were able to observe time reflections of electromagnetic signals in a tailored metamaterial.

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Researchers have developed a new AI model that significantly improves the understanding of Metal-Organic Frameworks (MOFs), promising materials for hydrogen storage and other applications.

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By flagging disease-associated DNA biomarkers, medical professionals can make early diagnoses and provide personalized treatments, but the typical screening methods can be laborious, expensive or limited in scope. Now, a new biosensor could pave the way to accessible and expansive diagnostics.

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The forensic-voice-comparison system, based on state-of-the-art automatic-speaker-recognition technology, outperformed all the listeners.

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A new report outlines a model law for facial recognition technology to protect against harmful use of this technology, but also foster innovation for public benefit.