A5101736343- Land Use and Ecosystem Services
- Advanced Neuroimaging Techniques and Applications
- Multiple Sclerosis Research Studies
- Acute Ischemic Stroke Management
- Facility Location and Emergency Management
- Cerebrovascular and Carotid Artery Diseases
- Remote Sensing and Land Use
- Geographic Information Systems Studies
- Cloud Data Security Solutions
- Data Management and Algorithms
- Advanced Data Storage Technologies
- Energy Efficient Wireless Sensor Networks
- Vehicle Routing Optimization Methods
- Evacuation and Crowd Dynamics
- Radiomics and Machine Learning in Medical Imaging
- Soil and Land Suitability Analysis
- MRI in cancer diagnosis
- UAV Applications and Optimization
- Lipid metabolism and disorders
- Wildlife-Road Interactions and Conservation
- Growth Hormone and Insulin-like Growth Factors
- Environmental Changes in China
- Caching and Content Delivery
- Precipitation Measurement and Analysis
- Place Attachment and Urban Studies
The Affiliated Yongchuan Hospital of Chongqing Medical University
2021-2025
Chongqing Medical University
2021-2025
Wuhan Institute of Technology
2017-2024
South China Normal University
2020
Wuhan University
2015-2016
Ministry of Environmental Protection
2014
Ministry of Ecology and Environment
2014
Nanjing Institute of Environmental Sciences
2014
Langfang Normal University
2008
Xiaomi (China)
2007
In the context of global warming, understanding spatiotemporal dynamic carbon storage, land-use related ecological risks, and how risks are correlated with is vitally significant for enhancing regional carbon-sequestration capacity, promoting rational exploitation land green low-carbon development. Using data, this study employed InVEST PLUS models to analyze forecast variation in land-use, terrestrial ecosystem storage Wuhan metropolitan area under multiple-scenarios. Spearman’s correlation...
Introduction Machine learning techniques, renowned for their ability to process complex datasets and uncover key ecological patterns, have become increasingly instrumental in assessing ecosystem services. Methods This study quantitatively evaluates individual services—such as water yield, carbon storage, habitat quality, soil conservation—on the Yunnan-Guizhou Plateau years 2000, 2010, 2020. A comprehensive service index is employed assess overall capacity, revealing spatiotemporal...
The safety of public spaces on university campuses directly affects the mental and physical well-being both faculty students, significantly contributing to stability growth institution. Therefore, evaluating optimizing sense security in these areas is paramount. This study adopts a human-centric approach selects five environmental metrics construct comprehensive perception model encompassing day night, using analytic hierarchy process. By leveraging evaluation outcomes, maximum coverage...
An optimal sensor placement of a precipitation station network should fulfill different regulations and requirements, such as coverage maximization, easy access, uniform distribution. However, few studies have focused on an integrated way to optimize the design from perspective monitoring efficiency in space. In this paper, given complex requirements diversified goals for monitoring, new multiobjective location model is established optimizing network's with comprehensive weighting scheme....
Introduction: In recent years, Laos, with its unique geographical advantages, has vigorously developed overseas trade and cultural tourism industry, which promoted local economic development introduced numerous ecological environmental problems. Method: Therefore, this research took Savan District as the area, built landscape risk assessment model to reveal spatiotemporal evolution characteristics of District’s from 2000 2020. Then, Geodetector was utilized explain driving forces behind...
Using Zhijiang City, Hubei Province as an example, this study constructed ecological risk assessment model based on land use data from the three phases of 2000, 2010, and 2020. We then determined compensation priority sequence ecosystem services value (ESV) economic status research area. The findings revealed that there was a significant spatial differentiation in ESV during period, with being higher south Yangtze River than north. Overall, generally decreased over course decrease CNY 812...
To evaluate the microstructural damage in heterogeneity of different white matter areas relapsing-remitting multiple sclerosis (RRMS) patients by using diffusion kurtosis imaging (DKI) and its correlation with clinical cognitive status.Kurtosis fractional anisotropy (KFA), (FA), mean (MK), diffusivity (MD) T1-hypointense lesions (T1Ls), pure T2-hyperintense (pure-T2Ls), normal-appearing (NAWM), healthy controls (WM HCs) were measured 48 RRMS 26 sex- age-matched HCs. All participants assessed...
Objectives: To implement a machine learning model using radiomic features extracted from quantitative susceptibility mapping (QSM) in discriminating multiple sclerosis (MS) neuromyelitis optica spectrum disorder (NMOSD). Materials and Methods: Forty-seven patients with MS (mean age = 40.00 ± 13.72 years) 36 NMOSD 42.14 12.34 who underwent enhanced gradient-echo T2*-weighted angiography (ESWAN) sequence 3.0-T MRI were included between April 2017 October 2019. QSM images reconstructed ESWAN,...
Abstract It has been found that the non‐B form DNA structures, like G‐quadruplex (G4) and i‐motif, are involved in many important biological processes. Our previous study showed silkworm transcription factor BmLARK binds to G4 structure promoter of BmPOUM2 regulates its activity. However, binding mechanism between remains unclear. In this study, domains key amino acid residues interaction were studied. The electrophoretic mobility shift assay results indicated two RNA‐recognition motifs...
A multiparameter observation task includes a comprehensive theme with multiple indispensable parameters that need to be monitored simultaneously. However, limited sensor resources for task, the spatial misalignment of coverage area each parameter decreases efficiency, especially in space-ground network. To solve this problem, we developed collaborative planning method phase. With method, maximal model (SGMC-MP) was introduced. The proposed cooperatively utilizes sensors make an plan. This...
The dramatic development of cloud storage services has led growing companies and individuals to outsource their data cloud. However, users still concern about the availability integrity stored in To relieve these concerns, redundancy is introduced into systems, verification schemes are used check whether corrupted. Once corruption detected, repair operations should be executed. most existing based on erasure codes or network coding techniques either introduce high computation cost cannot...