Publications by authors named "J P Sang"

In the era of artificial intelligence, there has been a rise in novel computing methods due to the increased demand for rapid and effective data processing. It is of great significance to develop memristor devices capable of emulating the computational neural network of the brain, especially in the realm of artificial intelligence applications. In this work, a memristor based on NiAl-layered double hydroxides is presented with excellent electrical performance, including analog resistive conversion characteristics and the effect of multi-level conductivity modulation.

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Renewable energy-driven electrocatalytic nitrate reduction reaction presents a low-carbon and sustainable route for ammonia synthesis under mild conditions. Yet, the practical application of this process is currently hindered by unsatisfactory electrocatalytic activity and long-term stability. Herein we achieve high-rate ammonia electrosynthesis using a stable amorphous/crystalline dual-phase Cu catalyst.

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The concentration and purification of trace substances from natural products represent a bottleneck in current chromatographic separations. In this study, a twin-column recycling chromatography with a step solvent gradient method was proposed and successfully applied in the purification of unknown substances with tiny content in yew extracum. The method consists of two steps.

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Vitamin K (VitK) exists in multiple forms, with Vitamin K1 (VitK1) and Vitamin K2 (VitK2) being the most prominent. VitK1 primarily regulates clotting factors in the liver, whereas VitK2 plays a crucial role in activating extrahepatic proteins involved in various physiological processes. VitK plays a pivotal role in various physiological functions, including vascular health, bone metabolism, neuroprotection, hepatoprotection, immune response modulation, dental health, and glucose control.

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Smoke is a critical indicator of forest fires, often detectable before flames ignite. Accurate smoke identification in remote sensing images is vital for effective forest fire monitoring within Internet of Things (IoT) systems. However, existing detection methods frequently falter in complex real-world scenarios, where variable smoke shapes and sizes, intricate backgrounds, and smoke-like phenomena (e.

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