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Categories: Chemistry: Biochemistry, Mathematics: Statistics

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Load-bearing structures like bridges and shelters can be made with origami modules -- versatile components that can fold compactly and adapt into different shapes -- engineers have demonstrated.

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In a first for the condensate field, researchers have figured out how nucleolar sub-structures are assembled. This organization gives rise to unique pH profiles within nucleoli, which they measured and compared with the pH of nearby non-nucleolar condensates including nuclear speckles and Cajal bodies.

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Bioengineers have invented a thin, flexible device that adheres to the neck and translates the muscle movements of the larynx into audible speech. The device is trained through machine learning to recognize which muscle movements correspond to which words. The self-powered technology could serve as a non-invasive tool for people who have lost the ability to speak due to vocal cord problems.

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Researchers have created a DNA origami platform called DoriVac, whose core component is a self-assembling square block-shaped nanostructure. DoriVac vaccines enabled tumor-bearing mice to better control the growth of tumors and to survive significantly longer than control mice.

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A printable organic polymer that assembles into chiral structures when printed has enabled researchers to reliably measure the amount of charge produced in spin-to-charge conversion within a spintronic material at room temperature.

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In order to limit the increase in global average temperature to 1.5 C, it is essential to drastically reduce carbon dioxide emissions in the atmosphere. This would mean not exploiting most of the existing coal, conventional gas and oil energy resources in regions around the world, according to new research. The study presents the atlas of unburnable oil in the world, a world map designed with environmental and social criteria that warns which oil resources should not be exploited to meet the commitments of the Paris Agreement signed in 2015 to mitigate the effects of climate change.

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Automated insulin dosing systems combine low-cost blood-glucose monitors with insulin pumps that use precision dosing to continuously regulate blood-sugar and hold it steady. Synthetic biologists have found a way to piggyback on the technology and make it universally applicable for the precision dosing of virtually any drug.

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Materials that are incredibly thin, only a few atoms thick, exhibit unique properties that make them appealing for energy storage, catalysis and water purification. Researchers have now developed a method that enables the synthesis of hundreds of new 2D materials.

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Advanced killer robots are more likely to blamed for civilian deaths than military machines, new research has revealed. The study shows that high-tech bots will be held more responsible for fatalities in identical incidents.

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A recent scientific breakthrough has emerged from the work of researchers aiming to combat SARS-CoV-2, the virus responsible for COVID-19. The study focuses on the design and development of a novel protein capable of binding to the spike proteins found on the surface of the coronavirus. The goal behind this innovative approach is twofold: first, to identify and recognize the virus for diagnostic purposes, and second, to hinder its ability to infect human cells.

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Research has found a less expensive and easier to use test to learn more about forensic touch DNA. This research has important implications for forensic investigations and being able to identify DNA from a primary contact -- someone who may have committed the crime -- as well as secondary DNA that was inadvertently and indirectly transferred through touch.

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The origin of heavy elements in our universe is theorized to be the result of neutron star collisions, which produce conditions hot and dense enough for free neutrons to merge with atomic nuclei and form new elements in a split-second window of time. Testing this theory and answering other astrophysical questions requires predictions for a vast range of masses of atomic nuclei. Scientists are using machine learning algorithms to successfully model the atomic masses of the entire nuclide chart -- the combination of all possible protons and neutrons that defines elements and their isotopes.

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Mechanical engineers have devised a diagnostic platform that uses sound waves to spin an individual drop of water up to 6000 revolutions per minute. These speeds separate tiny biological particles within samples placed in a very light disc sitting on top of the spinning drop. The technique could allow new point-of-care applications ranging from precision bioassays to cancer diagnosis. The technique requires less time and sample volume while inflicting less damage to delicate exosomes.

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Imagine performing a sweep around an object with your smartphone and getting a realistic, fully editable 3D model that you can view from any angle -- this is fast becoming reality, thanks to advances in AI. Researchers have unveiled new AI technology for doing exactly this. Soon, rather than merely taking 2D photos, everyday consumers will be able to take 3D captures of real-life objects and edit their shapes and appearance as they wish, just as easily as they would with regular 2D photos today.

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Scientists have developed ultra-thin semiconductor fibers that can be woven into fabrics, turning them into smart wearable electronics.

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Hitting targets embedded within the cell membrane has long been difficult for drug developers due to the membrane's challenging biochemical properties. Now, chemists have demonstrated new custom-designed proteins that can efficiently reach these 'intramembrane' targets.

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To advance neuromorphic computing, some researchers are looking at analog improvements -- advancing not just software, but hardware too. Research shows a promising new way to store and transmit information using disordered superconducting loops.

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Scientists have identified the first unconventional superconductor with a chemical composition also found in nature.

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Ammonia is an important molecule with many applications. The end product of the famed Haber-Bosch process, it is commonly synthesized to capture nitrogen for fertilizers, and is used for refrigeration, in cleaning products, and in the production of pharmaceuticals. Recently, this modest molecule has also attracted interest as a potential resource for addressing one of today's most pressing challenges -- the need for reliable and abundant renewable fuels.

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A protein engineering method using simple, cost-effective experiments and machine learning models can predict which proteins will be effective for a given purpose, according to a new study.