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The multi‐mode heterogeneous network combines the advantages of high‐speed power line communication (HPLC) and high radio frequency (HRF), ensuring service quality and meeting the requirements for data transmission delay and reliability even when devices are flexibly deployed. Queuing delay and privacy entropy are important metrics for managing multi‐mode heterogeneous internet of things (IoT) networks, which require collaborative optimization of the transmission phase (server selection and sub‐channel allocation) and the computing phase (computing resource allocation) to ensure low latency and high privacy entropy. However, existing communication‐computing collaborative optimization methods face issues such as low privacy security of electricity‐carbon service data, high difficulty in solving the joint optimization problem, and resource competition. Therefore, this paper proposes a privacy preservation‐driven communication‐computing collaboration method for the management of multi‐mode heterogeneous IoT networks. Firstly, the architecture for the management of multi‐mode heterogeneous IoT networks is constructed and a privacy entropy model for electricity‐carbon computing service data is established to measure the privacy security performance of the network management. Secondly, a joint optimization problem of queuing delay and privacy entropy under long‐term privacy entropy constraints are constructed and the long‐term privacy entropy constraints from short‐term decisions is decoupled based on Lyapunov optimization. Finally, a joint optimization algorithm for server selection and multi‐mode sub‐channel allocation driven by privacy protection is proposed. This algorithm reduces the three‐dimensional matching optimization problem among different devices, servers, and channels, and uses auction matching to solve the conflict of resource block selection, further optimizing the computing resource allocation of edge servers based on the Karush–Kuhn–Tucker (KKT) conditions. Simulation results show that the proposed algorithm effectively reduces queuing delay and improves privacy security of data transmission. This paper proposes a privacy protection‐driven communication‐computation collaboration method for managing multi‐mode heterogeneous Internet of Things networks, combining high power line communication and high radio frequency to ensure low latency and high privacy entropy. The method includes a joint optimization algorithm for server selection, sub‐channel allocation, and computational resource allocation, using auction matching and Lyapunov optimization to address queuing delay, resource competition, and privacy protection in internet of things network management. Simulation results show significant improvements in queuing delay and privacy security performance compared to baseline methods.

Cigarette smoking or nicotine exposure during pregnancy is associated with numerous obstetrical, fetal, and developmental complications, as well as an increased risk of adverse health consequences in the adult offspring. In this study, we examined the effects of maternal nicotine exposure during perinatal and lactation stages on behavioral performance and hippocampal neurogenesis in the adolescent stage of offspring mice. Female C57BL/mice received nicotine in drinking water (200 μg/ml nicotine) or vehicle (1% saccharin) starting from 2 weeks premating until the offspring were weaned on postnatal day 20. Experiments started on postnatal day 35. Female offspring with maternal nicotine exposure presented an increase in anxiety-like behavior in an open-field test. BrdU assay revealed that nicotine offspring presented an increase in cell proliferation in hippocampal dentate gyrus, but the number of BrdU cells was decreased in one week and further decreased in three weeks. The occurrence of disarray of DCX cells increased in both male and female nicotine offspring. The density of microglial marker protein Iba1 was significantly increased in the nicotine offspring. Furthermore, the expression of microglia marker Iba1, the CX3CL1, CX3CR1, and downstream molecules PKA and p-ErK were significantly increased in the nicotine group. In summary, maternal nicotine exposure affects both hippocampal neurogenesis and microglial activity in the adolescent offspring.