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. To overcome these challenges, this study introduces a novel deep learning image stitching algorithm tailored for single photon imaging. Leveraging the robust feature extraction capabilities of neural networks and the richer feature information present in intensity images, the algorithm stitches range images based on intensity image priors. This innovative approach significantly enhances the spatial resolution and imaging range of single photon LiDAR systems. Simulation and experimental results demonstrate the effectiveness of the proposed method in generating high-quality stitched single-photon intensity images, and the range images exhibit comparable high quality when stitched with prior information from the intensity images.

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

Dragonflies are sensitive to climate change due to their special habitat in aquatic and terrestrial environments, especially Pantala flavescens, 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, P. flavescens, and detected the important environmental factors shaping its range, as well as habitat shifts under historical and future warming scenarios. The results showed a global map of species ranges of P. flavescens currently, including southern North America, most of South America, south-central Africa, most of Europe, South, East and Southeast Asia, and northern Oceania, in total, ca. 6581.667 × 104 km2. BIO5 (the max temperature of warmest month) and BIO13 (the precipitation of wettest month) greatly explained its species ranges. The historic refugia were identified around the Great Lakes in the north-central United States. Future warming will increase the total area of suitable habitat and shift the type of suitable habitat compared to the current distribution. The habitat suitability of P. flavescens decreased with elevation, global warming forced it to expand to higher elevations, and the habitat suitability of P. flavescens around the equator increased with global warming. Overall, our study provides a global dynamic pattern of suitable habitats for P. flavescens from the perspective of climate change, and provides a useful reference for biodiversity research and biological conservation.

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

Neurobasis chinensis is widely distributed in eastern tropical Asia. Its only congener in China, the N. anderssoni, has not been observed for decades. To protect N. chinensis, it is necessary to understand the ecological properties of its habitats and specie's range shift under climate change. In the present study, we modeled its potential distribution under one historical, current, and four future scenarios. We evaluated the importance of the factors that shape its distribution and habitats and predicted the historical and current core spatial distributions and their shifting in the future. Two historical core distribution areas were identified: the inland region of the Bay of Bengal and south-central Vietnam. The current potential distribution includes south China, Vietnam, Laos, Thailand, Myanmar, Luzon of Philippines, Malaysia, southwest and northeast India, Sri Lanka, Indonesia (Java, Sumatera), Bangladesh, Nepal, Bhutan, and foothills of the Himalayas, in total, ca. 3.59 × 106 km2. Only one core distribution remained, concentrated in south-central Vietnam. In a warming future, the core distribution, high suitable habitats, and even the whole range of N. chinensis will expand and shift northwards. Currently, N. chinensis mainly resides in forest ecosystems below 1200 m above sea level (preferred 500 m to 1200 m a.s.l.). Annual precipitation, mean temperature of driest quarter, and seasonality of precipitation are important factors shaping the species distribution. Our study provides systematic information on habitats and geographical distribution, which is useful for the conservation of N. chinensis.

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. Relationships of fatty liver disease and age, body mass index, and metabolic syndrome were determined. Logistic regression was performed to identify the risk factors for fatty liver disease. RESULTS: Data of 18 676 subjects (mean age 40.55 ± 9.94 ranging from 18 to 59) were analyzed. The prevalence of fatty liver disease was 22.0% and increased along with age, body mass index, and the presence and severity of metabolic syndrome. In logistic regression, living area was significantly associated with fatty liver in total population. Male, overweight and obese, waist-to-height ratio ≥ 0.5, hypertension, hypercholesterolemia, high triglyceride, low high-density lipoprotein cholesterol, and fasting plasma glucose ≥ 7.0 mmol/L were common independent risk factors for fatty liver disease in urban and rural areas. Older age and white blood cell over 5.5 ×10(9) /L were related to fatty liver disease in urban area. Obesity was the most important factors in both areas. CONCLUSION: Fatty liver disease was prevalent in young and middle-aged population and mainly associated to multiple metabolic disorders.