PE-RASP: range image stitching of photon-efficient imaging through reconstruction, alignment, stitching integration network based on intensity image priors.

Single photon imaging integrates advanced single photon detection technology with Laser Radar (LiDAR) technology, offering heightened sensitivity and precise time measurement. This approach finds extensive applications in biological imaging, remote sensing, and non-visual field imaging. Nevertheless, current single photon LiDAR systems encounter challenges such as low spatial resolution and a limited field of view in their intensity and range images due to constraints in the imaging detector hardware.

Projected Effects of Climate Change on Species Range of , a Wandering Glider Dragonfly.

Dragonflies are sensitive to climate change due to their special habitat in aquatic and terrestrial environments, especially , which have extraordinary migratory abilities in response to climate change on spatio-temporal scales. At present, there are major gaps in the documentation of insects and the effects of climatic changes on the habitat and species it supports. In this study, we model the global distribution of a wandering glider dragonfly, , and detected the important environmental factors shaping its range, as well as habitat shifts under historical and future warming scenarios.

Modeling and Prediction of the Species' Range of (Linnaeus, 1758) under Climate Change.

is widely distributed in eastern tropical Asia. Its only congener in China, the , has not been observed for decades. To protect , it is necessary to understand the ecological properties of its habitats and specie's range shift under climate change.

Prevalence and risk factors of fatty liver disease in young and middle-aged population: one center study in Southwestern China.

Background And Aim: Fatty liver disease has become common hepatic disease not only in western countries but also in developing countries in Asia-Pacific area. Our aim was to determine the prevalence and risk factors of fatty liver disease as well as its correlation with metabolic syndrome in young and middle-aged population.

Methods: Data were collected from check-up center at the 1st Affiliated Hospital of Chongqing Medical University in 2011.