Publications by authors named "Xingyu Ding"

The simultaneous removal reaction (SRR) is a pioneering approach for achieving the simultaneous removal of anthropogenic NO and CO pollutants through catalytic reactions. To facilitate this removal across diverse industrial fields, it is crucial to understand the trade-offs and synergies among the multiple reactions involved in the SRR process. In this study, we developed mixed metal oxide nanostructures derived from layered double hydroxides as catalysts for the SRR, achieving high catalytic conversions of 93.

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  • High-entropy compounds (HECs) have unique properties and potential uses but are typically made using difficult, high-temperature methods that aren’t practical for widespread use.
  • A new room-temperature solution method allows for the synthesis of a wide variety of high-entropy borates quickly and efficiently, producing large quantities (over a hundred grams in one minute).
  • This research also highlights the effectiveness of one specific high-entropy borate, which acts as a powerful catalyst for oxygen evolution, paving the way for better energy storage and conversion technologies.
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  • * This study uses advanced techniques to show that NiS transforms into a mixed phase of NiS and NiO during operation, creating dual active sites at their interface that enhance catalytic efficiency.
  • * Ultimately, this research reveals that the dynamic chemistry of these materials can be optimized through careful control of conditions, resulting in improved catalytic performance for hydrogen evolution.
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Identification of active sites in catalytic materials is important and helps establish approaches to the precise design of catalysts for achieving high reactivity. Generally, active sites of conventional heterogeneous catalysts can be single atom, nanoparticle or a metal/oxide interface. Herein, we report that metal/oxide reverse interfaces can also be active sites which are created from the coordinated migration of metal and oxide atoms.

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Recent advances in connectomics and neurophysiology make it possible to probe whole-brain mechanisms of cognition and behavior. We developed a large-scale model of the multiregional mouse brain for a cardinal cognitive function called working memory, the brain's ability to internally hold and process information without sensory input. The model is built on mesoscopic connectome data for interareal cortical connections and endowed with a macroscopic gradient of measured parvalbumin-expressing interneuron density.

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Based on the specific binding of sulfonic acid groups to melamine, β-agonists and other compounds, FeO nano-magnetic beads were coated with polystyrene using an improved micro-suspension emulsion polymerization method, thus forming core-shell magnetic polystyrene microspheres (FeO@PS) with FeO as the core and polystyrene as the shell. These functionalized microspheres, which can be used as magnetic solid-phase extraction (MSPE) adsorbent, were prepared after further sulfonation. These microspheres were characterized by Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), transmission electron microscopy (TEM), particle size analysis and saturation magnetization measurement.

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Background: The coronavirus disease 2019 (COVID-19) outbreak might have a psychological impact on frontline healthcare workers. However, the effectiveness of coping strategies was less reported.

Objectives: We aimed to investigate the sources of stress and coping strategies among frontline healthcare workers fighting against COVID-19.

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The content of heavy metals is an important index to measure the quality and safety of salt. However, due to the high content of Na(i) in salt causing a large background interference, it is difficult to accurately analyze trace Pb(ii) through the existing atomic absorption spectrometry. Therefore, it is of great significance to design a new solid-phase extraction (SPE) material for the removal and determination of Pb(ii) from salt.

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The photocarrier recombination in van der Waals layers may determine the device performance based on these materials. Here, we investigated the photocarrier dynamics in a multilayer indium selenide nanofilm using transient absorption spectroscopy. The sub-bandgap transient absorption feature was attributed to the indirect intraband absorption of the photocarriers, which was then exploited as a probe to monitor the photocarrier dynamics.

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Perovskite oxides have emerged as promising candidates for the oxygen evolution reaction (OER) electrocatalyst due to their flexible lattice structure, tunable electronic structure, superior stability, and cost-effectiveness. Recent research studies have mostly focused on the traditional methods to tune the OER performance, such as cation/anion doping, A-/B-site ordering, epitaxial strain, oxygen vacancy, and so forth, leading to reasonable yet still limited activity enhancement. Here, we report a novel strategy for promoting the OER activity for perovskite LaNiO by crystal phase engineering, which is realized by breaking long-range chemical bonding through amorphization.

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Dopamine is required for working memory, but how it modulates the large-scale cortex is unknown. Here, we report that dopamine receptor density per neuron, measured by autoradiography, displays a macroscopic gradient along the macaque cortical hierarchy. This gradient is incorporated in a connectome-based large-scale cortex model endowed with multiple neuron types.

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This work reports a fundamental study on the relationship of the electronic structure, catalytic activity and surface reconstruction process of Fe doped NiS (FeNiS) for the oxygen evolution reaction (OER). A combined photoemission and X-ray absorption spectroscopic study reveals that Fe doping introduces more occupied Fe 3d states at the top of the valence band and thereby induces a metallic phase. Meanwhile, Fe doping also significantly increases the OER activity and results in much better stability with the optimum found for FeNiS.

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