Thẻ: SDG4-Giáo dục có chất lượng

Abstract Graphitic carbon nitride (g-C3N4) has been widely used as a material for hydrogen evolution reaction (HER) due to its visible-light activity, low cost, and non-toxicity. However, a rapid recombination of photogenerated electron-hole pairs, poor electrical conductivity, and a low specific surface area of g-C3N4 have hindered its practical performance. Melem/g-C3N4 (abbreviate: MCN) is a newer structure...

Abstract Membrane capacitive deionization (MCDI) has been investigated as a promising desalination technology, offering reduced operational voltage and enhanced electrode regeneration capability. Traditional materials used for ion exchange membranes rely on fluorinated polymers, which face drawbacks on fabricating processes and high cost. This study introduces a natural-based cellulose acetate membrane, with improvements by both chemical...

Abstract In the IoT era, wearable photodetectors play a crucial role in remote healthcare and environmental monitoring. Semiconductors are the most important component of these devices. Among them, ZnO is a potential candidate due to its high charge carrier mobility, mechanical stability, low cost, and non-toxicity. However, ZnO has a limited working range within the...

Abstract Counterfactual explanations (CE) can make face classifiers more transparent, yet existing methods implicitly target a single attribute at a time, yield unnatural imagery, overly broad or off-target edits, and weak interpretability. We introduce a unified framework that (i) constrains edits with FacePart-based segmentation masks, (ii) performs localized blended latent diffusion on Stable Diffusion 2.1,...

Abstract Hydrated vanadium pentoxide, V2O5·1.75H2O has emerged as a promising cathode material for multivalent ion batteries due to its tunable layered structure and enhanced ion transport properties. In this study, density functional theory (DFT) simulations are applied to investigate bilayer V2O5·nH2O material, focusing on how water content (n = 0, 1, 1.75, 2 and 2.25) influences...

Abstract Syntactic features such as dependency and constituency are well known to improve Semantic Role Labeling (SRL), yet existing syntax-aware SRL models remain largely opaque. Related explainable NLP methods focus primarily on token-level representations and do not quantify how such relations contribute to individual SRL predictions. This limitation is particularly concerning in high-stakes domains such...