Archived Intelligence
Researchers have designed a catalyst that processes chemical by-products like a well-organised factory, separating the breaking-down phase from the storage phase. This prevents internal clogging and significantly boosts the lifespan of high-capacity batteries.
A multi-stage deep learning pipeline successfully generated and screened over 14,000 peptide structures, identifying candidates with binding affinities surpassing the clinical reference drug Capivasertib. Molecular dynamics simulations confirm these novel compounds maintain structural stability and favourable pharmacokinetic profiles.
Scientists are moving away from expensive platinum in energy storage, looking instead to carbon structures with intricate internal architectures. By engineering the empty space within materials, researchers aim to create highly conductive, stable catalysts for fuel cells and batteries.
A new study reveals that NF2 inactivation in renal cell carcinoma drives an aggressive, immune-resistant phenotype. The findings suggest that standard immunotherapy may be ineffective for these patients, highlighting an urgent need for molecularly targeted alternatives.
Researchers compared four algorithms to classify egg size in Noiler chickens using a dataset of internal and external traits. The Random Forest model significantly outperformed others with 98% accuracy, establishing a high-precision benchmark for poultry data analysis.
Researchers have engineered a lipid-silica hybrid nanoparticle that bypasses the cell's internal sorting mechanisms. By fusing directly with the outer membrane, this method allows gene-editing tools to slip into the cell undetected, showing significant tumour suppression in mouse models.
Researchers have developed a composite gas diffusion electrode combining hydrophobic polymers with a conductive copper backbone. This architecture solves critical stability and resistance issues, paving the way for efficient, large-scale conversion of carbon emissions into ethylene.
This survey evaluates the integration of transformer architectures into graph learning, proposing a new taxonomy based on depth and scalability. It examines how these models combine graph inductive biases with attention mechanisms while identifying significant hurdles regarding computational efficiency.
A new genomic study identifies specific nucleotide insertions in the attachment protein of Human metapneumovirus, linking them to strain dominance. While these genetic shifts appear to offer the virus a survival advantage, clinical severity remains tied to patient age and health rather than the specific viral lineage.
New research challenges the idea that vision is a one-way street, showing instead that language-based knowledge actively shapes how we perceive the world. By comparing AI models with brain scans, scientists found that abstract meaning acts as a scaffold to organise raw visual inputs.
A study of 160 residents in Cox’s Bazar reveals a significant disconnect between economic reliance on the sea and understanding its ecological functions. While locals value the ocean for livelihood, knowledge of its climate role is minimal, with most information coming from unregulated social media channels.
Computational analysis identifies CoMnCrGa as a robust ferromagnetic material with exceptional spin polarisation. Its ability to convert waste heat into electric current via the anomalous Nernst effect positions it as a viable candidate for high-efficiency memory and logic devices.
Current alkali metal batteries face significant hurdles due to interface instability and mechanical stress during operation. This research proposes a molecular engineering framework using polymer electrolytes to regulate ion transport and solvation, enabling safer, high-capacity solid-state batteries.
Researchers have developed a metrology technique using two-photon state interference and polarisation gradient metasurfaces. This method matches the accuracy of classical approaches while reducing the required photon count by approximately 97%, offering faster acquisition for semiconductor manufacturing.
This review evaluates Bismuth Telluride's capacity to serve as both a standard thermoelectric material and a host for exotic topological states. It assesses how precise defect engineering and carrier tuning influence phonon transport and quantum phenomena.
A meta-analysis of randomized trials finds that while robotic surgery may shorten hospital stays slightly, it offers no significant advantage over conventional laparoscopy regarding operative time or complications. The findings suggest the higher cost of robotics may not yield proportional clinical benefits for benign cases.
Researchers have developed a Deep Neural Network that analyses both structured data and unstructured medical notes to predict severe outcomes in heart patients. The study suggests that including text-based observations, such as mental state, significantly improves the accuracy of early warning systems.
Researchers have identified a defect in the 'minor spliceosome' as a key driver of immune cell failure in lupus. This genetic processing error prevents neutrophils from building essential defence proteins, offering a new explanation for the disease's chronic inflammation.
Researchers have observed the ultrafast dynamics of excitons in defective tungsten disulfide crystals. The study reveals that atomic vacancies interact coherently with free excitons, suggesting new pathways for quantum technologies.
Researchers have developed a selenium-integrated organic system capable of converting near-infrared light to visible light with a 1.0% quantum yield. This represents a significant improvement over previous metal-free methods, though absolute efficiency remains a challenge for practical application.