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Categories: Chemistry: Inorganic Chemistry, Ecology: Nature
Published Endangered seabird shows surprising individual flexibility to adapt to climate change



New research finds that individual behavioural flexibility and not evolutionary selection is driving the northward shift of Balearic shearwaters. The findings were revealed through a decade-long study which tagged individual birds. The results indicate that individual animals may have greater behavioural flexibility to respond to climate change impacts than previously thought.
Published Back from the dead: Tropical tree fern repurposes its dead leaves



Plant biologists report that a species of tree fern found only in Panama reanimates its own dead leaf fronds, converting them into root structures that feed the mother plant. The fern, Cyathea rojasiana, reconfigures these 'zombie leaves,' reversing the flow of water to draw nutrients back into the plant.
Published High-efficiency carbon dioxide electroreduction system reduces our carbon footprint and progressing carbon neutrality goals



Global warming continues to pose a threat to human society and the ecological systems, and carbon dioxide accounts for the largest proportion of the greenhouse gases that dominate climate warming. To combat climate change and move towards the goal of carbon neutrality, researchers have developed a durable, highly selective and energy-efficient carbon dioxide (CO2) electroreduction system that can convert CO2 into ethylene for industrial purposes to provide an effective solution for reducing CO2 emissions.
Published Scientists develop novel method to estimate biodiversity loss in Singapore over the past two centuries



Scientists have employed novel statistical methods to reveal the extent of biodiversity loss in Singapore over the past two centuries. The study paints the most accurate picture to date of the ecological impact of deforestation and urban development in the tropical city-state. From a comprehensive dataset, the study estimated that Singapore has lost 37 per cent of its species.
Published Utilizing active microparticles for artificial intelligence



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.
Published Use it or lose it: How seagrasses conquered the sea



Seagrasses provide the foundation of one of the most highly biodiverse, yet vulnerable, coastal marine ecosystems globally. They arose in three independent lineages from their freshwater ancestors some 100 million years ago and are the only fully submerged, marine flowering plants. Moving to such a radically different environment is a rare evolutionary event and definitely not easy. How did they do it? New reference quality genomes provide important clues with relevance to their conservation and biotechnological application.
Published How to shift gears in a molecular motor



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.
Published Polymer power: Researchers enhance the safety of lithium batteries



Lithium-ion batteries face safety concerns as a result of internal separator issues which often lead to short circuits. Scientists have now developed a method to improve the stability and properties of separators with a layer of silicon dioxide and other functional molecules. Batteries employing these separators demonstrated improved performance and reduced growth of disruptive root-like structures, paving the way for high-safety batteries that can aid the adoption of electric vehicles and advanced energy storage systems.
Published Deep learning reveals molecular secrets of explosive perchlorate salts



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.
Published Cellular scaffolding rewired to make microscopic railways



Researchers were able to control the growth of thin, branching networks that support cellular structure and help cells function. The networks, called microtubules, can exert force and precisely transport chemicals at a subcellular level.
Published Autonomous synthesis robot uses AI to speed up chemical discovery



Chemists have developed an autonomous chemical synthesis robot with an integrated AI-driven machine learning unit. Dubbed 'RoboChem', the benchtop device can outperform a human chemist in terms of speed and accuracy while also displaying a high level of ingenuity. As the first of its kind, it could significantly accelerate chemical discovery of molecules for pharmaceutical and many other applications.
Published Teaching nature to break human-made chemical bonds



A newly evolved enzyme could one day make silicone compounds biodegradable.
Published Diverse forests are best at standing up to storms



European forests with a greater diversity of tree species are more resilient to storms, according to new research.
Published New method flips the script on topological physics



The branch of mathematics known as topology has become a cornerstone of modern physics thanks to the remarkable -- and above all reliable -- properties it can impart to a material or system. Unfortunately, identifying topological systems, or even designing new ones, is generally a tedious process that requires exactly matching the physical system to a mathematical model. Researchers have demonstrated a model-free method for identifying topology, enabling the discovery of new topological materials using a purely experimental approach.
Published Sparrows uniquely adapted to Bay Area marshes are losing their uniqueness



How does loss of habitat affect the animals still living there? A genetic study of saltwater-adapted Savannah sparrows around the San Francisco Bay Area shows that the 90% loss of tidal marsh habitat has led to more interbreeding with freshwater-adapted Savannah sparrows, diminishing their genetic adaptation to saltwater, such as enlarged kidneys and larger beak. This could lessen their ability to live in a saltwater habitat.
Published Microplastics may be accumulating rapidly in endangered Galápagos penguins' food web



Model predictions showed a rapid increase in microplastic accumulation and contamination across the penguins' prey organisms resulting in Galapagos penguin showing the highest level of microplastics per biomass, followed by barracuda, anchovy, sardine, herring, and predatory zooplankton.
Published Researchers add a 'twist' to classical material design



Researchers grew a twisted multilayer crystal structure for the first time and measured the structure's key properties. The twisted structure could help researchers develop next-generation materials for solar cells, quantum computers, lasers and other devices.
Published A new design improves water decontamination via plasma jet



Two research groups design a plasma (an ionized gas) reactor maintained by microwaves that makes it possible to decontaminate waters with high concentrations of dye.
Published The complexity of forests cannot be explained by simple mathematical rules, study finds



The way trees grow together do not resemble how branches grow on a single tree, scientists have discovered.
Published Hacking DNA to make next-gen materials



Scientists have developed a universal method for producing a wide variety of designed metallic and semiconductor 3D nanostructures -- the potential base materials for next-generation semiconductor devices, neuromorphic computing, and advanced energy applications. The new method, which uses a 'hacked' form of DNA that instructs molecules to organize themselves into targeted 3D patterns, is the first of its kind to produce robust nanostructures from multiple material classes.