Abstract Automatically assessing handwritten mathematical solutions is an important problem in educational technology with practical applications, but remains a significant challenge due to the diverse formats, unstructured layouts, and sym... Read More
Abstract Automated and effective urban stormwater management (USM) is essential to address the increase in stormwater hazards due to climate change and urbanization. Although droplet-based electricity generators (DEGs) can help monitor dyna... Read More
Abstract Controlled photooxidation-mediated disruption of collagens in the tumor microenvironment can reduce desmoplasia and enhance immune responsiveness. However, achieving effective light delivery to solid tumors, particularly those with... Read More
Abstract Spin-dependent anisotropic Fermi surfaces in altermagnets can give rise to nonrelativistic spin–charge conversion, known as the altermagnetic spin splitting effect (ASSE). While several studies have reported the inverse ASSE (IASSE... Read More
Abstract Biodegradable artificial synapses hold great promise for sustainable neuromorphic electronics, yet combining long-term memory, ultralow energy consumption, and mechanical robustness remains challenging. Here, we report a fully biod... Read More
Abstract Effective charge extraction in organic semiconductor (OS)-based photoelectrochemical (organic PEC) cells is essential for achieving high-performance while mitigating detrimental charge accumulation. Here, we present a series of 1,8... Read More
Abstract Multielement nanostructures promise unusual properties but are constrained by crystalline frameworks limiting incorporable cations, and prevailing syntheses rely on harsh conditions restricting practicality. Here we introduce a CO2... Read More
Abstract The Sadovskii vortex patch is a traveling wave for the two-dimensional incompressible Euler equations consisting of an odd symmetric pair of vortex patches touching the symmetry axis. Its existence was first suggested by numerical... Read More
Abstract Large-scale datasets are usually required to train deep neural networks; however, they increase computational complexity, hindering practical applications. Recently, dataset distillation for images and texts has attracted considera... Read More
Abstract In industrial cities, identifying sources and assessing the risks of hazardous air pollutants are critical for protecting public health. This study employed passive air samplers (PASs) to analyze 13 PAHs at 15 sites in Daesan, a pe... Read More
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