Archived Intelligence
Researchers have engineered a monolithic plasmonic catalyst using a sacrificial ZnO scaffolding to solve light penetration issues in chemical synthesis. This 3D architecture significantly boosts reaction rates and CO2 reduction selectivity compared to traditional powder beds.
Researchers have introduced CLinNET, a multi-modal deep neural network designed to identify molecular drivers of neurocognitive disorders. By filtering out uncertain predictions, the model reportedly achieves higher precision than existing computational methods.
Researchers have developed hybrid materials for batteries that eliminate volatile solvents, discovering that the physical arrangement of molecules matters more for conductivity than their chemical identity.
A comprehensive meta-analysis confirms that fillings capable of chemically interacting with teeth significantly out-perform standard passive materials. By actively releasing minerals, these materials reduce the risk of recurring decay by nearly half.
Scientists are moving away from using heat to force microscopic particles into order. Instead, they are reviewing methods that use specific DNA interactions to nudge particles into perfect structures at room temperature.
Researchers have developed a machine-learning tool that analyses gene expression in removed tumours to predict if cancer will return. By combining this genetic data with physical signs of lymphatic invasion, the model achieved nearly 95% accuracy in risk stratification.
Researchers compared three algorithms to classify mouse muscle tissue based on calcium signalling activity. The study found that Convolutional Neural Networks achieved the highest accuracy, while Support Vector Machines matched their predictive power (AUC), suggesting automated analysis could aid in diagnosing muscular dystrophies.
Researchers have validated a reinforcement learning framework that generates prostate cancer treatment plans in seconds (6.3 ± 4.7 s), independent of commercial software. While the system matches or exceeds human-generated plans in organ sparing, it introduces slight increases in target hotspots.
DeepVirFinder utilises deep learning to identify viral sequences in metagenomic data by recognising genetic patterns rather than matching known references. The updated software offers optimised processing speeds and improved tools for extracting and visualising viral candidates.
A systematic review indicates that Extracorporeal Magnetic Stimulation (EMS) may speed up the return to continence in men compared to standard exercises, though long-term outcomes appear identical. While the technology offers a passive alternative to voluntary muscle training, the current evidence base is restricted by small sample sizes.
Researchers have validated a self-supervised algorithm that denoises chemical maps without requiring clean reference data. By leveraging independent signals from multi-element detectors, the method enables rapid, low-dose imaging for sensitive biological samples.
Researchers have developed a high-performance flexible battery using a novel acidic hydrogel electrolyte that enables a two-electron redox reaction. This innovation significantly boosts energy density and durability, paving the way for safe, wearable electronics suitable for continuous health monitoring.
New research suggests AI tools cannot be viewed as isolated gadgets but as products of a clash between regulation, markets, and care delivery. The study argues for steering these technologies toward public value rather than just profit.
Researchers used audio playbacks to simulate human presence near great tit nests, observing rapid behavioural changes in the first year that vanished by the second. The findings suggest tolerance may be a short-term plastic response rather than a permanent adaptation.
A large study of over 14,000 veterans found that newer, targeted IBD drugs generally do not carry a higher risk of infection-related hospitalisation compared to older combination therapies. While overall safety was comparable, gut-specific treatments showed a slight increase in gastrointestinal infections.
Researchers have developed a porous boron and nitrogen polymer that significantly boosts energy storage capacity and stability. This material acts like a sticky, durable net for electrons, offering a promising alternative to current carbon-based options.
Researchers modelled the thermal dynamics of a silver and magnesium oxide water-based mixture to predict cooling efficiency in vertical systems. The study reveals that while buoyancy forces accelerate fluid velocity, increasing the concentration of nanoparticles creates significant drag and asymmetric heating effects.
A clinical case study details how Responsive Neurostimulation (RNS) successfully managed seizures in a 13-year-old with dominant-hemisphere Rasmussen encephalitis. The intervention reduced seizure burden significantly without the functional loss associated with traditional surgical disconnection.
A genomic and proteomic analysis of strain NI86/21 reveals how soil bacteria silence large sections of foreign DNA to conserve energy, only activating specific herbicide-degrading enzymes upon exposure. This mechanism appears globally convergent, with identical adaptations found in geographically distinct strains.
Researchers combined genetic analysis with urine metabolomics to identify how specific DNA variants influence colorectal cancer risk. By deleting a small genetic region near the RHPN2 gene, they observed significant disruptions in cell growth and metabolic processing.
Researchers utilised AI-guided laser capture to isolate Tau protein aggregates at specific stages of maturation. The study reveals a dramatic rise in phosphorylation markers in mature tangles, followed by a precipitous drop as they degrade into 'ghost' tangles.
Metagenomic sequencing identifies distinct bacterial signatures in children with IBD, offering high diagnostic accuracy compared to healthy controls. However, current clinical markers still outperform these profiles in predicting treatment response, suggesting we are at the early stages of this genomic application.
While single-atom catalysts offer precision, they often struggle with the complex, multi-stage reactions required for sulfur-based energy storage. A new study demonstrates that grouping molybdenum atoms into triangular clusters creates a cooperative effect, allowing the catalyst to adapt to various sulfur intermediates and significantly extend battery lifespan.
Producing hydrogen from water is energy-intensive due to the difficulty of generating oxygen as a byproduct. This review explores replacing that difficult step with urea oxidation, a process that lowers energy consumption while simultaneously treating wastewater.
New simulations using the CLIMBER-X model reveal that the ocean's radiocarbon 'age' is younger than previously thought due to better mixing. The study highlights how cosmic rays and climate shifts distort our chemical clocks.