Reveals the spatiotemporal distribution patterns and future risks of five major cancers worldwide
Peer-Reviewed Publication
Updates every hour. Last Updated: 27-Jun-2025 18:10 ET (27-Jun-2025 22:10 GMT/UTC)
An innovative study led by a research team from Wuhan University has systematically evaluated the mortality rates of five major cancers—lung, colorectal, stomach, liver, and pancreatic—across 200 countries from 2011 to 2019. By employing Multiscale Geographically Weighted Regression (MGWR), ARIMA time series analysis, and a Bayesian spatiotemporal model, the study reveals an overall upward trend in global cancer mortality rates, with a more pronounced increase observed in high-income countries. Key contributing factors include aging populations, smoking, unhealthy diets, and lifestyle choices. This novel model not only uncovers spatiotemporal disparities in cancer risk among regions but also provides a robust scientific basis for global cancer prevention and control strategies.
Lunar surface characteristics—mineral composition, geology, and environment—are vital for lunar science. Spectral imagers enable non-destructive mineral analysis, making them key payloads in exploration. With growing demand for high-resolution spectral-spatial data, the challenges on data processing increases. This paper reviews existing spectral data, instruments, and scientific findings, addressing technical challenges like preprocessing and mineral mapping. Advancements in spectral imaging and data processing will significantly boost lunar and planetary research, enabling deeper geological insights and potential resource assessment. Furthermore, hyperspectral data will support manned missions by identifying lunar minerals and their distribution.