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Categories: Ecology: Invasive Species, Engineering: Robotics Research
Published Study reveals how a tall spruce develops defense against hungry weevils



A study has identified genes involved in development of stone cells -- rigid cells that can block a nibbling insect from eating budding branches of the Sitka spruce evergreen tree. The insect's attack has stunted the growth of these forest giants.
Published AI nursing ethics: Viability of robots and artificial intelligence in nursing practice


Robots and artificial intelligence (AI) are expected to play a key role in nursing practice in the future. In this regard, researchers from Japan ask whether intelligent machines can replace humans as nurses. They investigate the potential of current advancements in robotics and AI to replicate the ethical concepts attributed to nurses, including advocacy, accountability, cooperation, and caring. While these technologies hold promise in enhancing healthcare practices, their integration into nursing requires careful consideration.
Published Bees make decisions better and faster than we do, for the things that matter to them


Research reveals how millions of years of evolution has engineered honey bees to make fast decisions and reduce risk.
Published Chemists create the microspine with shape-transforming properties for targeted cargo delivery at microscale


With the goal of advancing biomimetic microscale materials, the research team has developed a new method to create microscale superstructures, called MicroSpine, that possess both soft and hard materials which mimic the spine structure and can act as microactuators with shape-transforming properties. This breakthrough was achieved through colloidal assembly, a simple process in which nano- and microparticles spontaneously organize into ordered spatial patterns.
Published Deciphering the thermodynamic arrow of time in large-scale complex networks


A solution for temporal asymmetry -- or entropy production -- in thermodynamics has been developed to further our understanding of the behavior of biological systems, machine learning, and AI tools. The researchers worked on the time-irreversible Ising model dynamics caused by asymmetric connections between neurons.
Published 'Workplace AI revolution isn't happening yet,' survey shows


The UK risks a growing divide between organizations who have invested in new, artificial intelligence-enabled digital technologies and those who haven’t, new research suggests.
Published Displays controlled by flexible fins and liquid droplets more versatile, efficient than LED screens


Flexible displays that can change color, convey information and even send veiled messages via infrared radiation are now possible, thanks to new research. Engineers inspired by the morphing skins of animals like chameleons and octopuses have developed capillary-controlled robotic flapping fins to create switchable optical and infrared light multipixel displays that are 1,000 times more energy efficient than light-emitting devices.
Published Robotic glove that 'feels' lends a 'hand' to relearn playing piano after a stroke



A new soft robotic glove is lending a 'hand' and providing hope to piano players who have suffered a disabling stroke or other neurotrauma. Combining flexible tactile sensors, soft actuators and AI, this robotic glove is the first to 'feel' the difference between correct and incorrect versions of the same song and to combine these features into a single hand exoskeleton. Unlike prior exoskeletons, this new technology provides precise force and guidance in recovering the fine finger movements required for piano playing and other complex tasks.
Published New single-photon Raman lidar can monitor for underwater oil leaks



Researchers report a new single-photon Raman lidar system that operates underwater and can remotely distinguish various substances. They also show that the new system can detect the thickness of the oil underwater up to 12 m away, which could be useful for detecting oil spills.
Published Emulating how krill swim to build a robotic platform for ocean navigation



Researchers have presented important first steps in building underwater navigation robots.
Published Stronger tape engineered through the art of cutting



What if you could make adhesives both strong and easily removable? This seemingly paradoxical combination of properties could dramatically change applications in robotic grasping, wearables for health monitoring, and manufacturing for assembly and recycling. A team has adapted kirigami, the ancient Japanese art of cutting paper, into a method for increasing the adhesive bond of ordinary tape by 60 times. Developing such adhesives may not by that far off through the latest research conducted by the team of Michael Bartlett, assistant professor in the Department of Mechanical Engineering at Virginia Tech, and published in Nature Materials on June 22.
Published Climate change could lead to 'widespread chaos' for insect communities



New research explores how a warming world could impact ecosystems and derail the development of new species.
Published Completing genome of rusty patched bumble bee may offer new approach to saving endangered bee



A detailed, high-resolution map of the rusty patched bumble bee's genome has been released, offering new approaches for bringing the native pollinator back from the danger of extinction. Putting together the rusty patched bumble bee genome is part of the Beenome 100 project, a first-of-its-kind effort to create a library of high-quality, highly detailed genome maps of 100 or more diverse bee species found in the United States.
Published Metamaterials with built-in frustration have mechanical memory



Researchers have discovered how to design materials that necessarily have a point or line where the material doesn't deform under stress, and that even remember how they have been poked or squeezed in the past. These results could be used in robotics and mechanical computers, while similar design principles could be used in quantum computers.
Published Hybrid AI-powered computer vision combines physics and big data



Researchers have laid out a new approach to enhance artificial intelligence-powered computer vision technologies by adding physics-based awareness to data-driven techniques. The study offered an overview of a hybrid methodology designed to improve how AI-based machinery sense, interact and respond to its environment in real time -- as in how autonomous vehicles move and maneuver, or how robots use the improved technology to carry out precision actions.
Published Researchers find high risk to amphibians if fungal pathogen invades North America



New research indicates the fungal pathogen Batrachochytrium salamandrivorans (Bsal) could be devastating to amphibian biodiversity if introduced to North America.
Published Plant remediation effects on petroleum contamination



Initial choices about fertilization and grass seeding could have a long-lasting effect on how plants and their associated microbes break down pollution in petroleum-contaminated soils.
Published Four-legged robot traverses tricky terrains thanks to improved 3D vision



Researchers have developed a new model that trains four-legged robots to see more clearly in 3D. The advance enabled a robot to autonomously cross challenging terrain with ease -- including stairs, rocky ground and gap-filled paths -- while clearing obstacles in its way.
Published Mori3: A polygon shape-shifting robot for space travel



By combining inspiration from the digital world of polygon meshing and the biological world of swarm behavior, the Mori3 robot can morph from 2D triangles into almost any 3D object. The research shows the promise of modular robotics for space travel.
Published Team finds reliable predictor of plant species persistence, coexistence



Ecological scientists have long sought ways to measure and predict how specific plant communities will fare over time. Which species in a diverse population will persist and coexist? Which will decline? What factors might contribute to continuing biodiversity? Researchers report on a new method for determining whether pairs or groups of plant species are likely to coexist over time.