Abstract Cloud cover often hinders satellite-derived ozone (O3) concentration estimation, leading to incomplete spatial coverage. To address this limitation and obtain gap-free hourly ground-level O3 estimates, this study developed a novel... Read More
Abstract This study investigates the linear behavior of multi-joint upper limb dynamics under small perturbations, a prerequisite for stochastic estimation of upper limb mechanical impedance, which is crucial for understanding motor control... Read More
Abstract Heterogeneity and the absence of a tumor microenvironment (TME) in traditional patient-derived organoid (PDO) cultures limit their effectiveness for clinical use. Here, Embedded Bioprinting-enabled Arrayed PDOs (Eba-PDOs) featuring... Read More
Abstract Organic photoelectrochemical (OPEC) cells are efficient at generating photocurrents but face significant challenges in long-term stability due to the incompatibility of metal oxide charge transport layers with organic photoactive m... Read More
Abstract Common polymer binders are insulators, which significantly diminish the battery performance owing to their low electron mobility. For aqueous sodium–air batteries (SABs) to exhibit reliable performance as energy storage systems, po... Read More
Abstract Zeolitic imidazolate frameworks (ZIFs), metal–organic analogues of zeolites, hold great potential for carbon-neutral applications due to their exceptional stability and porosity. However, ZIF discovery has been hindered by the limi... Read More
Abstract Recently, targeted protein degradation (TPD) strategies have emerged as a promising solution to tackle undruggable proteins. While most TPD strategies target intracellular proteins, limited options exist for targeting extracellular... Read More
Abstract Single-crystal cathodes have been investigated for their inherent resistance to intergranular cracking due to the absence of grain boundaries. However, these materials exhibit significant intragranular cracking, and the underlying... Read More
Abstract Investigating flat minima on loss surfaces in parameter space is well-documented in the supervised learning context, highlighting its advantages for model generalization. However, limited attention has been paid to the reinforcemen... Read More
Abstract In the quest for a virtual nuclear fusion reactor that can rapidly respond to user demands, we present a study focusing on the development of a fast ion particle collision module and realistic wall modeling using three-dimensional... Read More
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