Danh mục: Story

Abstract Missing data is a commonly encountered problem in practice that can degrade the performance of predictive models and distort statistical inference. Many advanced imputation techniques suffer from a lack of interpretability, operating as “black boxes”. This paper introduces Parameter-based Imputation via Cycle-ensemble Averaging (PICA), a novel framework that first estimates distributional parameters directly from...

Abstract Developing cost-effective, durable, and efficient bifunctional electrocatalysts is essential for advancing green hydrogen production. Here, we report a rapid, one-step, room-temperature, corrosion-driven strategy for directly constructing nickel-iron layered double hydroxides (NiFe LDH) on nickel foam (NF), where the NF serves as both the conductive substrate and the sole Ni source. In an Fe3 + -ethylene glycol...

Abstract Temporal knowledge graphs (TKGs) represent real-world facts evolving over time by incorporating the multirelational structure of knowledge graphs with temporal dimensions. While extensions of graph convolutional networks, such as relational and composition-based variants, have demonstrated strong capabilities in modeling graph-structured data, effectively capturing both symmetric and asymmetric relational dependencies, their application to TKG reasoning...

Abstract  Transition-metal oxide memristors are promising for neuromorphic computing, yet most SPICE models overlook material-specific effects such as oxygen stoichiometry and non-pinched hysteresis. Here, we systematically study CrOx/TiOy memristors fabricated under controlled oxygen concentrations (10%–50%) and propose an improved SPICE-compatible model. The devices exhibit oxygen-dependent resistive switching, retention, and pulse-driven plasticity, with optimal performance at 40%...