This article designs a hexagonal left-handed material (LHM) and proposes a microstrip antenna with low radar cross-section (RCS) based on this new LHM. The modified antenna RCS is significantly reduced without reducing radiation performance compared with two reference antennas. The scattering distribution shows the RCS reduction is attributable to the LHM. Antenna prototypes are fabricated and measured to verify the simulation. As a result, the modified antenna realized RCS reduction while maintaining radiation performance, with 19.5 dB maximum RCS reduction at 1.16 GHz, and the out-of-band RCS reduced due to the converged electromagnetic wave caused by the LHM. K E Y W O R D Sleft-handed material,

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In order to study the application value of big data information monitoring system in early diagnosis, treatment, and nursing of human papillomavirus (HPV) infected cervical cancer, firstly, the traditional ID3-based decision tree model was optimized through the minimum sample number of different leaf nodes. According to the optimization model, the diagnosis model of HPV-infected cervical cancer was constructed and applied to the monitoring system of big data of cervical cancer. Diagnosis model and information monitoring system (DMIMS) was compared withDecision tree based on decision support degree (DTBDS). Then, 876 HPV-infected cervical cancer patients diagnosed in our hospital from January 30, 2018 to January 30, 2019 were defined as the experimental group, and 670 HPV-infected cervical cancer patients diagnosed in our hospital from January 30, 2017 to January 30, 2018 were defined as the control group. Only the experimental group used cervical cancer data and information diagnosis system. Finally, the biopsy rate after examination, the coincidence rate with pathology diagnosis, the detection rate of precancerous lesion of HPV infection, and the detection rate of HPV infection of cervical cancer were compared between the two groups. The results showed that the classification accuracy of DMIMS (95%) was higher than that of DTBDS (67%) (p < 0.05). The biopsy rate of the experimental group was significantly lower than that of the control group (p < 0.05); the coincidence rate between biopsy and pathological diagnosis, detection rate of HPV precancerous lesion, and detection rate of HPV infected cervical cancer were significantly higher in the experimental group than in the control group (p < 0.05), which showed that the big data monitoring system of cervical cancer played an important role in the detection of HPV infection cervical cancer, which can make the patients with precancerous lesions and early cervical cancer get timely diagnosis, treatment, and nursing.

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