Table_1_Cervical cancer incidence, mortality, and burden in China: a time-trend analysis and comparison with England and India based on the global burden of disease study 2019.DOCX

BackgroundCervical cancer is the fourth highest incidence of malignancy in the world and a common cause of cancer death in women. We assessed the trends of incidence and mortality and disability-adjusted life year (DALY) in China, England and India from 1990 to 2030.MethodData were obtained from the Global Burden of Disease (GBD) database. We collected the number and rate of incidence, death and DALY from 1990 to 2019 and calculated the estimated annual percentage change (EAPC). Further analysis was carried out by ages and years. We also collected attributable risk factors to cervical cancer. Finally, we utilized the Bayesian Age-Period-Cohort (BAPC) model to forecast trends in the rate of age-standardized incidence (ASIR) and age-standardized death (ASDR) the for the next decade.ResultGlobally, the incidence of cervical cancer cases increased from 335,641.56 in 1990 to 565,540.89 in 2019. In 2019, the ASIR and ASDR of cervical cancer were higher than those of India but lower than those of England. Furthermore, unsafe sex and smoking emerge as prominent risk factors for cervical cancer. Over the next decade, ASIR and ASDR are expected to decline in China and England, while India’s ASIR is still on an upward trend and ASDR is on a downward trend.ConclusionThe epidemiological data of cervical cancer in these three countries reflects the influence of different stages of development and healthcare systems. Trends over the next decade suggest that China and India still face a huge burden of cervical cancer. When England has made significant progress, China and India need to take more measures to improve the prevention and control of cervical cancer.</p

Shock response to compound fault of bearing inner and outer races and rolling bodies.

(A)Time domain diagram of compound faults of inner, outer ring and rolling element. (B) Composite fault envelope spectra of inner, outer ring and rolling element. (C) Time domain diagram of complex faults of inner, outer ring and rolling element under multiple interference factors. (D) Envelope spectrum diagram of complex fault of inner and outer ring and rolling element under multiple interference factors.</p

Original diagnosis signal at 2000 rpm.

As a key component of rotating machinery power transmission system, rolling bearings in gas turbines are often required to serve in complex working conditions such as the high speed, the heavy load, the variable load, the variable rotational speed, and so on. The signals of bearing failures are easily drowned out by strong background noise and disturbances of related components. In the mechanical transmission system, the signals of bearing failures are easily submerged by the strong background noise and the disturbance of related components, especially for the composite bearing failures, which seriously hinders the effective identification of the vibration characteristics of the bearing operating state and increases the difficulty of fault diagnosis. In order to investigate the impact of interference on the bearing, through the establishment of rolling bearing composite fault vibration model, analyze the relationship between the vibration signals caused by different types of bearing failures and the corresponding vibration characteristics, to reveal the transmission system of the parts of the perturbation of the main multi-interference factors on the bearing fault signal influence law. The experimental verification shows that disturbance yp(t) caused by the sum of gear meshing frequency, and installation errors of the shaft, and coupling in the transmission system and background noise ni(t), which makes the fault frequency relatively weak and difficult to observe, and makes it difficult to accurately separate the fault information of the bearing. It provides a theoretical basis to solve the problem of damage identification and fault diagnosis of rolling bearings under multi-interference state.</div

Integrated fault simulation test bench of rolling bearing and planetary gearbox.

Integrated fault simulation test bench of rolling bearing and planetary gearbox.</p

Planetary gearbox failure characterization frequency.

Planetary gearbox failure characterization frequency.</p

Compound fault spectrum diagram of the inner race and rolling element.

(A)Time domain diagram of compound fault of inner ring and rolling element. (B) Composite fault spectrum diagram of inner ring and rolling element.</p

Compound fault spectrum diagram of the inner and outer races and rolling element.

Compound fault spectrum diagram of the inner and outer races and rolling element.</p

Compound fault spectrum diagram of the outer race and rolling element.

Compound fault spectrum diagram of the outer race and rolling element.</p

Formula for calculating characteristic frequency of rolling bearing.

Formula for calculating characteristic frequency of rolling bearing.</p

Shock response to compound fault of bearing inner and outer races.

(A) Time domain diagram of compound faults of inner and outer rings. (B) Envelope spectra of inner and outer ring complex faults. (C) The inner ring is compounded with the outer ring under multiple interference factors. (D) The inner ring is compounded with the outer ring under multiple interference factors.</p