Objective To analyze the epidemiological characteristics and disease burden of malignant tumors in Shijiazhuang in 2021. Methods Based on data from the Shijiazhuang City Cancer Registry, incidence and mortality indicators for malignant tumors were calculated, including crude rates, age-standardized rates (using Chinese and world standard populations), and the cumulative rate (0−74 years old), to describe the epidemiological profile. The disability-adjusted life years (DALYs), years of life lost (YLLs), and years lived with disability (YLDs) were calculated to estimate the disease burden of malignant tumors. Results In 2021, a total of 13250 new cancer cases were recorded. The crude incidence rate was 275.50/10⁵, the ASR China was 177.17/10⁵, the ASR world was 172.11/10⁵, and the cumulative rate (0–74 years old) was17.77%. The age-specific incidence of malignant tumors reached its peak in the age group of 80–84 years old. A total of 7165 deaths were noted, and the crude mortality rate was 148.98/10⁵. The ASR China was 85.13/10⁵, the ASR world was 84.52/10⁵, and the cumulative rate (0–74 years old) was 9.49%. The age-specific mortality of malignant tumors reached its peak in the age group of above 85 years old. Lung cancer and breast cancer were the most common malignant tumors in males and females. The DALYs of malignant tumors were 87725.29 person-years, and the DALY rate was 18.24‰. YLL was 85392.09 person-years (97.34%), and YLD was 2333.19 person-years (2.66%). Lung cancer had the heaviest disease burden with DALY of 22687.12 person-years, accounting for 25.86% of all malignant tumors, followed by gastric, liver, colorectal and esophageal cancers. Conclusion Cancers of the lung, liver, female breast, stomach, and colorectum are the major health threats in Shijiazhuang. Malignant tumor brings heavy burden to residents of Shijiazhuang city. To decrease the disease burden of cancer, scholars should pay more attention, and implement preventive measures early.

To address the issue of reduced signal quality of photoplethysmography caused by local fluctuation,an approach called locally orthogonal weighted polynomial fitting(LOWPF)is proposed for signal smoothing.After determining the positions of the fluctuation sequences using the forward-backward difference XOR method,weighted polynomial fitting is applied to these sequences,and the fitted values are used to replace the fluctuation sequences to achieve signal smoothing.By constructing orthogonal basis functions,the condition number of the coefficient matrix is reduced,and the stability of the equation system solution for higher-order fitting is improved.Simulation results demonstrate that the smoothed signal's XOR smoothness of the proposed method surpasses that of the moving average algorithm and the empirical mode decomposition reconstruction algorithm.The smoothing results on 241 sets of measured PPG signals show that LOWPF achieves an efficiency of smoothness of 89.10%,significantly higher than the 78.05%of empirical mode decomposition and the 59.13%of the 5-point moving average algorithm.LOWPF has promising application prospects for smoothing signals with significant local fluctuations.

To address the issue of reduced signal quality of photoplethysmography caused by local fluctuation,an approach called locally orthogonal weighted polynomial fitting(LOWPF)is proposed for signal smoothing.After determining the positions of the fluctuation sequences using the forward-backward difference XOR method,weighted polynomial fitting is applied to these sequences,and the fitted values are used to replace the fluctuation sequences to achieve signal smoothing.By constructing orthogonal basis functions,the condition number of the coefficient matrix is reduced,and the stability of the equation system solution for higher-order fitting is improved.Simulation results demonstrate that the smoothed signal's XOR smoothness of the proposed method surpasses that of the moving average algorithm and the empirical mode decomposition reconstruction algorithm.The smoothing results on 241 sets of measured PPG signals show that LOWPF achieves an efficiency of smoothness of 89.10%,significantly higher than the 78.05%of empirical mode decomposition and the 59.13%of the 5-point moving average algorithm.LOWPF has promising application prospects for smoothing signals with significant local fluctuations.