Nowadays, the advent of pressure sensors for intelligence terminal devices and skin‐inspired electronics has trigged rapid development of flexible, sensitive, and transparent sensing materials. Piezo‐active poly(vinylidene fluoride) (PVDF) is emerging as a promising candidate for sensing components due to the flexible and transparent features. However, the inherent weak piezo‐activity and consequently low sensitivity of PVDF remains a challenge for its sensing applications. Herein, ionic liquids ([EMIM]Cl) additive combined with a composition‐gradient multilayered architecture design are employed to hardness the piezo‐response of PVDF. The resultant composites present ultra‐high piezoelectric coefficient d33 of 39 pC N−1, which is 2.78 times that of PVDF. Meanwhile, the transparent ILs dopant enables the composites with superior transparency (87%). With notable advantages of high transparency and piezoelectricity, the ILs/PVDF composites exhibit high sensitivity of 0.0423 V N−1, ultra‐fast recovery time of 0.2 ms and stable operation capability when coupled with metal electrodes, confirming their applicability for reliable pressure sensor.
In order to solve the problems of poor security and low throughput of the current electronic medical records, this paper proposes an electronic medical record storage model based on H-Algorand consensus mechanism of credibility assessment combined with blockchain technology. To ensure the normal operation of blockchain system effectively, the model used a credibility assessment algorithm to obtain the trust value and replace the account balance in the H-Algorand consensus mechanism with the trust value as the node weight. The results show that the storage model adopted here has higher security and throughput efficiency.
In order to enhance the security and throughput of medical records storage system, a model using an improved H-Algorand consensus mechanism with credibility assessment is proposed. In this study, the model applies blockchain technology to realize distributed storage and privacy protection of medical data. To ensure the effective operation of the blockchain system, a credibility assessment algorithm is used to obtain the trust value of each medical institution node, and replaces the account balances in the H-Algorand consensus mechanism with the trust value as the node weight. Meanwhile, this paper designs a privacy protection scheme, through the searchable encryption algorithm and asymmetric encryption algorithm to achieve system data storage and sharing. Compared with the existing medical record storage model, the proposed model has higher security and throughput efficiency.
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