A5100352673- Remote Sensing in Agriculture
- Urban Heat Island Mitigation
- Remote Sensing and Land Use
- Land Use and Ecosystem Services
- Remote-Sensing Image Classification
- Underwater Acoustics Research
- Advanced Image Fusion Techniques
- Plant Water Relations and Carbon Dynamics
- Remote Sensing and LiDAR Applications
- Advanced SAR Imaging Techniques
- Shape Memory Alloy Transformations
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Species Distribution and Climate Change
- Smart Agriculture and AI
- Immune responses and vaccinations
- Forest ecology and management
- Image and Signal Denoising Methods
- Environmental Impact and Sustainability
- Tree-ring climate responses
- Building Energy and Comfort Optimization
- Advanced Image Processing Techniques
- Fire effects on ecosystems
- Isotope Analysis in Ecology
- Structural Health Monitoring Techniques
- COVID-19 Impact on Reproduction
Union Hospital
2025
Xiamen University
2010-2024
Yunnan University
2024
Zhejiang Marine Fisheries Research Institute
2022-2024
Zhejiang Ocean University
2024
Xiamen University of Technology
2020-2024
Jiangxi Academy of Environmental Sciences
2021-2024
China Meteorological Administration
2024
Shihezi University
2024
Beijing Forestry University
2014-2024
Abstract The proliferation of single-cell multimodal sequencing technologies has enabled us to understand cellular heterogeneity with multiple views, providing novel and actionable biological insights into the disease-driving mechanisms. Here, we propose a comprehensive end-to-end analysis framework named Deep Parametric Inference (DPI). DPI transforms data parameter space by inferring individual modal parameters. Analysis cord blood mononuclear cells (CBMC) reveals that can characterize...
Exploring the evolution of vegetation cover and its drivers in Ferghana Basin helps to understand current ecological status analyze changes drivers, with a view providing scientific basis for regional environmental management planning. Based on GIMMS NDVI3g meteorological data, spatial temporal characteristics NDVI were analyzed from multiple perspectives help linear trend Mann–Kendall (MK) test methods using arcgis R language analysis module, combined partial correlation coefficients...
The emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants and "anatomical escape" characteristics threaten the effectiveness current coronavirus disease 2019 (COVID-19) vaccines. There is an urgent need to understand immunological mechanism broad-spectrum tract protection guide broader vaccines development. Here we investigate immune responses induced by NS1-deleted influenza virus vectored intranasal COVID-19 vaccine (dNS1-RBD) which provides against SARS-CoV-2...
Patterns of biomass and carbon (C) storage distribution across Chinese pine (Pinus tabulaeformis) natural secondary forests are poorly documented. The objectives this study were to examine the C pools major ecosystem components in a replicated age sequence P. tabulaeformis forest stands Northern China. Within each stand, above- belowground tree, understory (shrub herb), floor determined from plot-level investigation destructive sampling. Allometric equations using diameter at breast height...
Abstract Some cloud structure features that can be extracted from infrared images of the sky are suggested for classification. Both and classifier developed over zenithal taken by whole-sky cloud-measuring system (WSIRCMS), which is placed in Nanjing, China. Before feature extraction, original image was smoothed to suppress noise. Then, enhanced using top-hat transformation a high-pass filtering. Edges detected after adaptive optimization threshold segmentation morphological edge detection....
Compact polarimetric synthetic aperture radar (CP SAR), as a new technique or observation system, has attracted much attention in recent years. Compared with quad-polarization SAR (QP CP provides an wider swath, while, compared linear dual-polarization SAR, retains more polarization information observations. These characteristics make useful tool marine environmental applications. Previous studies showed the potential of images for ship detection. However, false alarms, caused by ocean...
Abstract Purpose To identify key cellular changes and molecular events in atrophic mucosa, we aimed to elucidate the mechanisms driving occurrence of chronic gastritis (CAG). Methods We used single-cell RNA sequencing (scRNA-seq) characterize epithelial state tissue microenvironment associated with CAG. The were identified by comparing differentially expressed genes (DEGs) between two mucosa states. Gene Ontology (GO) pathway enrichment analysis was explore potential functional each cell...
In the traditional extended Kalman filter approach, unknown structural parameters are included in state vector. Then, sizes of vector and corresponding equation quite large, is highly nonlinear with respect to This may cause identification divergent for a large number parameters. Also, such strategy requires computational effort storage capacities, which not appropriate intelligent damage detection implemented by smart sensors microprocessors. this paper, an algorithm based on two-step...
Image-based plant phenotyping has become a powerful tool in unravelling genotype–environment interactions. The utilization of image analysis and machine learning have paramount extracting data stemming from experiments. Yet we rely on observer (a human expert) input to perform the process. We assume such be 'gold-standard' use it evaluate software algorithms train learning-based algorithms. However, should consider whether any variability among experienced non-experienced (including plain...
The high capacity of Li-rich and Mn-based (LRM) cathode materials is originally due to the unique hybrid anion- cation redox, which also induces detrimental oxygen escape. Furthermore, counter diffusion released (into electrolyte) induced vacancies interior bulk phase) that occurs at interface will cause uncontrolled phase collapse other issues. Therefore, its higher working voltage (>4.7 V) than activation lattice in LRM (≈4.5 V), anion-redox-free structurally consistent cobalt-free LiNi0.5...
This study presents the effect of small additions Cr, Mo, or V on microstructure, crystallographic features martensitic transformation, and shape memory Cu-13.5Al-4Ni master alloy. The results show that studied alloys consist dominant β'1 (18R) structure fine bcc precipitates which are riched in alloying elements but poor Cu content. transformation start temperatures 414K, 385K, 394K when X = 0.5Cr, 0.5Mo, 0.5V, respectively. More importantly, a drop grain size was achieved alloys, leading...
We propose a cotton pest and disease recognition method, SpemNet, based on efficient multi-scale attention stacking patch embedding. By introducing the SPE module EMA module, we successfully solve problems of local feature learning difficulty insufficient integration in traditional Vision Transformer model, which significantly improve performance efficiency model. In our experiments, comprehensively validate SpemNet model CottonInsect dataset, results show that performs well task, with...
Previous damage detection of frame structures mainly focuses on the beam and column element damage. It has been shown that beam-column joints in are more susceptible to than other members structure. Joint may be represented by reduction connection rigidity. Therefore, a structure with joint includes identification stiffness additional those stiffness, which involves difficulty identifying large number unknown structural parameters. In this paper, an algorithm based two-step Kalman filter...
The idea of a circular economy (CE), which differs from traditional linear with high consumption natural resources and pollution, has captured much interest attention. This paper uses CE system coal power cement in Kongtong District, Pingliang City, Gansu Province, China as case study to analyze the comprehensive effects paradigm. Our simulation results, based on dynamics (SD) modeling, infer that transformation manufacturing towards can prominently help enterprises reduce waste emission...
Carbon release during macrophyte decomposing is critical for the carbon cycle in aquatic ecosystems. Previous mechanic researches have demonstrated different rates of nutrients stages, e.g., fast-leaching stage (in initial 4–10 days), microbe conditioning with slow decay rate (from winter to spring low temperature). Nevertheless, models predicting these processes are still not available and conventional used model inherently assumes a constant relative rate. Here, we conducted one-year...
Landsat 4-5, built at the same time and with design, carrying Multispectral Scanner System (MSS) Thematic Mapper (TM) simultaneously, jointly provided observation service for about 30 years (1982–2013). Considering importance of data continuity series analyses, investigations on 4-5 MSS TM are required. In this paper, characterization differences between were initially discussed using synthesized reflectance records generated from a collection Hyperion hyperspectral profiles which well...
Comprehensive investigations on the between-sensor comparability among Landsat sensors have been relatively limited compared with increasing use of multi-temporal records in time series analyses. More seriously, sensor-related difference has not always considered applications. Accordingly, comparisons were conducted all available currently, including Multispectral Scanner (MSS), Thematic Mappers (TM), Enhanced (ETM+), and Operational Land Imager (OLI)) land cover mapping, based a collection...
Because of impacts resulted from sensor malfunction and clouds, there is usually a great deal missing regions (pixels) in remotely sensed imagery. To make full use the imagery affected, different algorithms for remote sensing images inpainting have been proposed. In this paper, an unsupervised convolutional neural network (CNN) context generate model was modified to recover affected (or un-recorded) pixels single image without auxiliary information. Unlike existing nonparametric which...