A5100678289- Remote Sensing and Land Use
- Soil Carbon and Nitrogen Dynamics
- Remote-Sensing Image Classification
- Advanced Combustion Engine Technologies
- Remote Sensing in Agriculture
- Automated Road and Building Extraction
- Flood Risk Assessment and Management
- Plant nutrient uptake and metabolism
- Remote Sensing and LiDAR Applications
- Catalytic Processes in Materials Science
- Land Use and Ecosystem Services
- Heat transfer and supercritical fluids
- Free Radicals and Antioxidants
- Herpesvirus Infections and Treatments
- SARS-CoV-2 and COVID-19 Research
- COVID-19 diagnosis using AI
- Cytomegalovirus and herpesvirus research
- Geographic Information Systems Studies
- Aeolian processes and effects
- Hydrology and Watershed Management Studies
- Plant Stress Responses and Tolerance
- HIV Research and Treatment
- Plant Water Relations and Carbon Dynamics
- Vagus Nerve Stimulation Research
- Environmental Changes in China
Chinese Academy of Sciences
2012-2024
Xinjiang Institute of Ecology and Geography
2021-2024
University of Chinese Academy of Sciences
2018-2024
Aerospace Information Research Institute
2019-2024
State Key Laboratory of Desert and Oasis Ecology
2024
Wuhan University
2022
Hebei Agricultural University
2022
Wuhan Institute of Virology
2009-2021
State Key Laboratory of Virology
2021
Institute of Remote Sensing and Digital Earth
2013-2020
An important and effective method for the preliminary mitigation relief of an earthquake is rapid estimation building damage via high spatial resolution remote sensing technology. Traditional object detection methods only use artificially designed shallow features on post-earthquake images, which are uncertain complex background environment time-consuming feature selection. The satisfactory results from them often difficult. Therefore, this study aims to apply You Only Look Once (YOLOv3)...
Efficiently and automatically acquiring information on earthquake damage through remote sensing has posed great challenges because the classical methods of detecting houses damaged by destructive earthquakes are often both time consuming low in accuracy. A series deep-learning-based techniques have been developed recent studies demonstrated their high intelligence for automatic target extraction natural images. For detection small artificial targets, current show that You Only Look Once...
A robust and efficient vehicle detection method from high resolution aerial image is still challenging. In this paper, a novel for automatic using images over highway was presented. the method, GIS road vector map used to constrain system networks. After morphological structure element identified, we utilized grayscale opening transformation top-hat identify hypothesis vehicles in light or white background, closing bot-hat black dark background. Then, targets with large size covering area...
Diverse urban environmental elements provide health and amenity value for residents. People are willing to pay a premium better environment. Thus, it is essential assess the benefits values of these elements. However, limited by interpretability machine learning model, existing studies cannot fully excavate complex nonlinear relationships between housing prices elements, as well spatial variations impacts on prices. This study explored residential based multisource data in Shanghai. A...
Introduction Soil microbial communities are key to functional processes in terrestrial ecosystems, and they serve as an important indicator of grasslands status. However, the responses soil potential drought stress semiarid alpine remain unclear. Methods Here, a field experiment was conducted under ambient precipitation control, −20% −40% explore diversity, community composition, predicted grassland located northwest China. Moreover, 16S rRNA gene ITS sequencing were used detect bacterial...
Accurate monitoring of bare soil land (BSL) is an urgent need for environmental governance and optimal utilization resources. High-resolution imagery contains rich semantic information, which beneficial the recognition objects on ground. Simultaneously, it susceptible to impact its background. We propose a segmentation model, Deeplabv3+-M-CBAM, extracting BSL. First, we replaced Xception Deeplabv3+ with MobileNetV2 as backbone network reduce number parameters. Second, distinguish BSL from...
Objective To analyze the relationship between expression of various clinical factors, inflammatory cytokines, and sarcopenia provide new ideas for whole-course management curative effect prediction in patients with lung cancer sarcopenia. Methods A total 135 recruited Department Oncology, Central Hospital Shaoyang, from January 2022 to 2024 were analyzed divided into (75 cases) non-sarcopenia (60 groups. Various statistical analyses methods used correlation 4 kinds cytokines cancer. Results...
Introduction: Ultraviolet (UV) radiation is believed to play a significant role in accelerating litter decomposition water-limited ecosystems. Litter traits also influence the decomposition. However, dominance of and ultraviolet on hyper-arid deserts (annual precipitation: potential evaporation < 0.05) with diverse species seasonal variations remain unclear. Methods: To address this knowledge gap, we examined three dominant ( Karelinia caspia , Alhagi sparsifolia Populus euphratica )...
The productivity and community structures of terrestrial ecosystems are regulated by total precipitation amount intra-annual patterns, which have been altered climate change. timing sizes events the two key factors patterns potentially drive ecosystem function influencing soil moisture. However, generalizable how affect remain unclear.We synthesized 633 observations from 17 studies conducted a global meta-analysis to investigate influences on ecosystems. By classifying we also assess...
Soil salinization threatening natural and agricultural production challenges global food security. Halophytes are of great interest in soil desalinization recent years; yet, there is a lack comprehensive quantitative overview biotic abiotic factors for halophytes’ performance across scales. Here, meta-analysis was conducted using 400 observations from 53 peer-reviewed studies to assess by halophytes relation 27 variables. Results showed that salinity significantly decreased field on average...
With the current spatial planning reform in China, public participation is becoming increasingly important success of rural planning. However, engaging various stakeholders projects difficult, mainly due to lack knowledge and computer skills. Therefore, this paper discusses development a virtual globe-based 3D participatory geographic information system (PGIS) aiming support process. The PGIS-based approach was applied village XiaFan, Ningbo, China. results demonstrate that locals’ capacity...
Human immunodeficiency virus type 1 (HIV-1) transmission often results from infection by a single transmitted/founder (T/F) virus. Here, we investigated the sensitivity of T/F HIV-1 envelope glycoproteins (Envs) to microbicide candidate carbohydrate-binding agents (CBAs) griffithsin (GRFT), cyanovirin-N (CV-N) and Galanthus nivalis agglutinin (GNA), showing that Envs demonstrated different CBAs, with IC50 values ranging 0.006 ± 0.0003 >10 nM for GRFT, 0.6 0.2 28.9 2.9 CV-N 1.3 >500 GNA. We...
As dust source bare soil land (BSL) contributes to air pollution and affects the photosynthesis of green plants carbon absorption, it is objective this study develop an approach for monitoring changes BSL using remote sensing technology. Unlike other use/cover types, classification as well its change detection often ignored. For traditional convolutional neural networks, deep layers cause a long range between input output, inevitably leading loss information computational costs. To alleviate...
Abstract The dramatically expanding COVID-19 needs multiple effective countermeasures. Neutralizing antibodies are a potential therapeutic strategy for treating COVID-19. A number of neutralizing nanobodies (Nbs) were reported their in vitro activities. However, vivo protection these was not animal models. In the current report, we characterized several RBD-specific Nbs isolated from screen an Nb library derived alpaca immunized with SARS-CoV-2 spike glycoprotein (S); among them, three...
Cyperus esculentus is highly adaptable to extremely arid conditions and functions of oil extraction sand fixation. Numerous studies have investigated the influence row spacing on traditional crop growth soil physicochemical traits but not determined how cultivation affects C. properties. Therefore, we conducted a field experiment in sandy land explore responses organ yields esculentus, wind erosion, properties (30, 60, or 90 cm), bare was used as control. The highest plant height, density,...
Introduction Solar radiation plays a crucial role in the decomposition of litter and cycling nutrients. Previous studies have investigated that net effect solar on depends balance its facilitative inhibitory effects microbial activity; however, gap understanding mechanism by which precipitation affects global scale was observed. Methods In addressing this gap, comprehensive meta-analysis 351 data points from 37 published conducted to estimate sole interactive scale, as well how they vary at...