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Categories: Chemistry: Biochemistry, Physics: Acoustics and Ultrasound

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Scientists have found soundwaves from low-intensity focused ultrasound aimed at a place deep in the brain called the insula can reduce both the perception of pain and other effects of pain, such as heart rate changes.

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Researchers have developed a first-of-its-kind, handheld electrochemical sensor that can accurately detect fentanyl in urine within seconds. The proof-of-concept technology can detect even trace amounts of fentanyl with 98% accuracy using a small portable device without costly and time-consuming lab analysis.

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Engineers have developed an ultra-sensitive sensor made with graphene that can detect extraordinarily low concentrations of lead ions in water. The device achieves a record limit of detection of lead down to the femtomolar range, which is one million times more sensitive than previous technologies.

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Scientists developed a new method to map exactly how a fungus works with leafcutter ants in a complex microbial community to degrade plant material at the molecular level. The team's insights are important for biofuels development.

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It's an achievement with important implications for scientists studying the brain and working on treatments for a broad range of neurological and neurodevelopmental disorders, such as Alzheimer's and Parkinson's disease.

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Researchers demonstrated a 300 GHz-band wireless link that was able to transmit data over a single channel at a rate of 240 gigabits per second. The wireless communication system employs signal generators based on lasers that have ultra-low phase noise in the sub-terahertz band. This rate is the highest so far reported at these frequencies and is a substantial step forward in 300 GHz-band communications for 6G networks.

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Researchers have gained new insights into the development of the light-induced ferroelectric state in SrTiO3. They exposed the material to mid-infrared and terahertz frequency laser pulses and found that the fluctuations of its atomic positions are reduced under these conditions. This may explain why the dipolar structure is more ordered than in equilibrium and why the laser pulses induce a ferroelectric state in the material.

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A team of researchers mapped out how flecks of 2D materials move in liquid -- knowledge that could help scientists assemble macroscopic-scale materials with the same useful properties as their 2D counterparts.

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Millions of tons of plastic waste enter the oceans each year. The sun's ultraviolet light and ocean turbulence break down these plastics into invisible nanoparticles that threaten marine ecosystems. In a new study, engineers have presented clear images of nanoplastics in ocean water off the coasts of China, South Korea and the United States, and in the Gulf of Mexico. These tiny plastic particles, which originated from such consumer products as water bottles, food packaging and clothing, were found to have surprising diversity in shape and chemical composition.

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A team of researchers has achieved a major breakthrough in genome editing technology. They've developed a cutting-edge method that combines the power of designer-recombinases with programmable DNA-binding domains to create precise and adaptable genome editing tools.

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Nanoclusters (NCs) of transition metals like cobalt or nickel have widespread applications in drug delivery and water purification, with smaller NCs exhibiting improved functionalities. Downsizing NCs is, however, usually challenging. Now, scientists have demonstrated functional NC formation with atomic-scale precision. They successfully grew cobalt NCs on flat copper surfaces using molecular arrays as traps. This breakthrough paves the way for advancements like single-atom catalysis and spintronics miniaturization.

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Researchers are currently developing anti-viral surfaces to decrease the spread of infectious diseases. A recent study found that a resin ingredient is effective against coronaviruses and strongly decreases their infectivity on plastic surfaces.

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Scientists have developed a new system for imaging nanoparticles. It consists of a high-precision, short-wave infrared imaging technique capable of capturing the photoluminescence lifetimes of rare-earth doped nanoparticles in the micro- to millisecond range.

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Investigators have developed a low-cost, high-throughput device that can reliably generate uniform tumor spheroids. The study describes how to assemble the 'Do-It-Yourself (DIY)' device from parts totaling less than $7, including a coin-vibrating motor commonly found in cell phones.

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Researchers are developing a new type of sensor that reacts to certain sound waves, causing it to vibrate. The sensor is a metamaterial that acquires its special properties through the structuring of the material. Passive sound-sensitive sensors could be used to monitor buildings, earthquakes or certain medical devices and save millions of batteries.

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Artificial intelligence using neural networks performs calculations digitally with the help of microelectronic chips. Physicists have now created a type of neural network that works not with electricity but with so-called active colloidal particles.The researchers describe how these microparticles can be used as a physical system for artificial intelligence and the prediction of time series.

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Scientists have harnessed the power of specially made nanostructures to enhance the neural response in a locust's brain to specific odors and to improve their identification of those odors.

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Compared to robots, human bodies are flexible, capable of fine movements, and can convert energy efficiently into movement. Drawing inspiration from human gait, researchers from Japan crafted a two-legged biohybrid robot by combining muscle tissues and artificial materials. This method allows the robot to walk and pivot.

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Scientists have long strived to develop artificial molecular motors that can convert energy into directed motion. Researchers have now presented a solution to a challenging problem: how motion can be transferred in a controlled manner from one place to another through a 'molecular gear'. Molecular motors have the potential for use in, for example, energy storage applications and medicine.

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Perchlorate compounds are known for their explosive nature. To understand what makes these compounds so explosive, a team of researchers developed a novel deep learning-based method that analyses their crystal structure and molecular interactions to elucidate their physical properties. This novel technique avoids dangerous laboratory-based experiments and uses data to study the nature of compounds. Overall, the study marks a significant step towards data-driven and artificial intelligence-based methods for chemical research.