A5112506454- Climate variability and models
- Meteorological Phenomena and Simulations
- Mathematical and Theoretical Epidemiology and Ecology Models
- Evolutionary Game Theory and Cooperation
- Marine and coastal ecosystems
- Complex Systems and Time Series Analysis
- Evolution and Genetic Dynamics
- Ecosystem dynamics and resilience
- Animal Ecology and Behavior Studies
- Data Management and Algorithms
- Tropical and Extratropical Cyclones Research
- Primate Behavior and Ecology
- Land Use and Ecosystem Services
- Hydrology and Sediment Transport Processes
- Hydrology and Drought Analysis
- Speech and Audio Processing
- Domain Adaptation and Few-Shot Learning
- Remote Sensing in Agriculture
- Microbial Metabolic Engineering and Bioproduction
- Plant and animal studies
- Indoor and Outdoor Localization Technologies
- Geographic Information Systems Studies
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Coastal and Marine Management
Yantai University
2020-2025
Xidian University
2024
Henan University of Economic and Law
2024
Hubei University of Technology
2021-2023
Shandong University of Technology
2014-2023
Chinese Academy of Medical Sciences Dermatology Hospital
2019-2023
Chinese Academy of Medical Sciences & Peking Union Medical College
2019-2023
Northeast Agricultural University
2023
Liaoning Technical University
2021-2023
North China Electric Power University
2022
Pioneering effort has been made to facilitate the recognition of pathology in malignancies based on whole‐slide images (WSIs) through deep learning approaches. It remains unclear whether we can accurately detect and locate basal cell carcinoma (BCC) using smartphone‐captured images. To develop neural network frameworks for accurate BCC segmentation microscopic ocular (MOIs). We collected a total 8046 MOIs, 6610 which had binary classification labels other 1436 pixelwise annotations....
World's largest macroalgal blooms (MAB) caused by Ulva prolifera outbreak every summer in the Yellow Sea since 2007, which bring potential damage to regional marine environment and economics. Assessing evolution of historic eutrophication status is importance for exploring reasons blooms. In this study, we used an area-weighted nutrient pollution index (AWCPI-NP) ocean color data assess temporal changes basin. Results show that significant shifts occurred from pre-MAB phase (2001–2006) MAB...
In this study, temporal trends and spatial patterns of extreme temperature change are investigated at 352 meteorological stations in China over the period 1956–2013. The series first examined for evidence long-range dependence daily monthly time scales. At most there is significant dependence. Noncrossing quantile regression has been used trend analysis series. For low quantiles mean minimum value (TNn) January, an increasing stations. A decrease also observed a zone ranging from...
Trajectories, representing the movements of objects in real world, carry significant stop/move semantics. The detection trajectory stops poses a critical problem study moving and becomes even more challenging due to inevitable noise recorded along with true data. To extract variety shapes sizes from single trajectories noise, this paper presents sequence oriented clustering approach, which points within stop can be identified classified as part stop. In our method, two key concepts are first...
Abstract Animal-fMRI is a powerful method to understand neural mechanisms of cognition, but it remains major challenge scan actively participating small animals under low-stress conditions. Here, we present an event-related functional MRI platform in awake pigeons using single-shot RARE fMRI investigate the fundaments for visually-guided decision making. We established head-fixated Go/NoGo paradigm, which quickly learned The were motivated by water reward and behavior was assessed logging...
4-Androstene-3,17-dione (4-AD) and 22-hydroxy-23,24-bisnorchol-4-ene-3-one (BA) are the most important representative C19- C22-steroidal materials. The optimalization of sterol production with mycobacterial phytosterol conversion has been investigated for decades. One major challenges is that current industrial strains accumulate unignorable impurities analogous to desired intermediates, significantly hampering product extractions refinements. Previously, we identified Mycobacterium neoaurum...
Extinction learning is an important process that enables adaptive and flexible behavior. Human neuroimaging studies show the neural basis of extinction consists a network includes hippocampus, amygdala, subcomponents prefrontal cortex, but also extends beyond them. The limitations applying fMRI to actively participating animals have so far restricted identification entire in non-human animals. Here, we present first study awake pigeons, using Go/NoGo operant paradigm with water reward. Our...
East Asia is a region that highly vulnerable to drought disasters during the spring season, as this period critical for planting, germinating, and growing staple crops such wheat, maize, rice. The climate in significantly influenced by three large-scale variations: Pacific Decadal Oscillation (PDO), El Niño–Southern (ENSO), Indian Ocean Dipole (IOD) Oceans. In study, meteorological was quantified using standardized precipitation evapotranspiration index (SPEI) March, April, May. Initially,...
Machine learning interatomic potentials (MLIPs) have become increasingly effective at approximating quantum mechanical calculations a fraction of the computational cost. However, lower errors on held out test sets do not always translate to improved results downstream physical property prediction tasks. In this paper, we propose testing MLIPs their practical ability conserve energy during molecular dynamic simulations. If passed, correlations are found between and performance We identify...
Xinjiang, an arid area located in the central part of Eurasian continent with high evaporation and low precipitation, experiences frequent droughts. This study builds on previous research by incorporating five key ocean-atmosphere oscillations using one-month SPEI as a meteorological drought indicator. Monthly time series precipitation temperature from 53 stations are utilized to calculate monthly series, seasonal Kendall test analyzes trends. Despite increased conditions Xinjiang worsened...
Since the 2008 global economic crisis, detection of financial instabilities has garnered extensive research attention, particularly through application time-series analysis. In this study, a novel analysis method, integrating Kullback–Leibler Divergence (KLD) metric with sliding window technique, is proposed to detect in data, especially markets. Global time series from 2004 2022 were analyzed. The raw preprocessed into return rate and transformed complex networks using directed horizontal...
This study investigates the spatiotemporal distribution of carbon emissions and decoupling relationship between innovation-driven urban development in six coastal provinces municipalities China from 2008 to 2022. The main questions this paper are as follows: What spatial temporal characteristics area? is development? key variables contribute significantly Carbon increased overall, with higher levels northern regions such Shandong, Jiangsu, Yangtze River Delta. Meanwhile, innovation rose but...
Human Action Recognition (HAR) is an essential topic in computer vision and artificial intelligence, focused on the automatic identification categorization of human actions or activities from video sequences sensor data. The goal HAR to teach machines comprehend interpret movements, gestures, behaviors, allowing for a wide range applications areas such as surveillance, healthcare, sports analysis, human-computer interaction. systems utilize variety techniques, including deep learning, motion...