Abstract-Given the wide range deployment of disconnected delay-tolerant social Internet-of-Things (SIoT), efficient resource discovery remains a fundamental challenge for large-scale SIoT. The existing search mechanisms over the SIoT do not consider preference similarity and are designed in Cartesian coordinates without sufficient consideration of real-world network deployment environments. In this paper, we propose a novel resource discovery mechanism in a 3-dimensional Cartesian coordinate system with the aim of enhancing the search efficiency over the SIoT. Our scheme is based on both of preference and movement pattern similarity to achieve higher search efficiency and to reduce the system overheads of SIoT. Simulation experiments have been conducted to evaluate this new scheme in a large-scale SIoT environment. The simulation results show that our proposed scheme outperforms the state-of-the-art resource discovery schemes in terms of search efficiency and average delay.

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Objective: To explore the toxicity of multi-walled carbon nanotubes (MWCNTs) on the liver lipid metabolism of offspring mice and the possible mechanisms involved.

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DHA substitution overcomes high-fat diet-induced disturbance in the circadian rhythm of lipid metabolism via the core gene Clock/Bmal1 controlled circadian nuclear receptor pathway.