- Space Satellite Systems and Control
- Nanoplatforms for cancer theranostics
- Robotics and Sensor-Based Localization
- Advanced Image Processing Techniques
- Atmospheric Ozone and Climate
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Calibration and Measurement Techniques
- Eicosanoids and Hypertension Pharmacology
- Infrared Target Detection Methodologies
- Satellite Image Processing and Photogrammetry
- Image Enhancement Techniques
- Advanced Measurement and Detection Methods
- Advanced Vision and Imaging
- interferon and immune responses
- Image and Signal Denoising Methods
- Immunotherapy and Immune Responses
- Inertial Sensor and Navigation
- Atherosclerosis and Cardiovascular Diseases
- Inflammasome and immune disorders
- Image and Object Detection Techniques
- Forest, Soil, and Plant Ecology in China
- Sodium Intake and Health
- Autophagy in Disease and Therapy
- Atmospheric and Environmental Gas Dynamics
Chinese Academy of Sciences
2010-2024
Shanghai Institute of Technical Physics
2010-2024
Nankai University
2022-2024
Collaborative Innovation Centre for Advanced Ship and Deep-Sea Exploration
2024
Hunan University of Technology
2023
University of Arkansas for Medical Sciences
2022
East China Normal University
2021
New York Medical College
2012
Yuncheng University
2012
Numerous CNN-based algorithms have been proposed to reconstruct high-quality face images. However, the inability of convolution operation model long-distance relationships limits performance methods. Moreover, in high-resolution (HR) image reconstruction stage, with well decoded feature representations, more efficient architecture design can be explored synthesize pixel-level details. In this work, we propose a spatial attention-guided CNN-Transformer aggregation network (SCTANet) for...
The clinical efficacy of current cancer therapies falls short, and there is a pressing demand to integrate new targets with conventional therapies. Autophagy, highly conserved self-degradation process, has received considerable attention as an emerging therapeutic target for cancer. With the rapid development nanomedicine, nanomaterials have been widely utilized in therapy due their unrivaled delivery performance. Hence, considering potential benefits integrating autophagy nanotechnology...
The potential of small interfering RNAs (siRNAs) in the treatment malignant tumors has attracted increasing attention due to their inherent advantages. However, therapeutic performance strongly depends on efficiency cytoplasmic delivery vivo by vehicle with good cellular permeability and histocompatibility. Herein, a polycationic carrier camouflaged macrophage membrane (MPM) is constructed biomimetically, which condensed from endogenous spermine monomers through diselenide bonds. developed...
Existing shadow removal methods often struggle with two problems: color inconsistencies in areas and artifacts along boundaries. To address these problems, we propose a novel mask-based semantic-aware network (S <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> Net) that uses masks as guidance for removal. The inconsistency problem is solved steps. First, use series of semantic-guided dilated residual (SDR) blocks to transfer statistical...
Accurate on-orbit wavelength calibration of the spaceborne hyperspectral payload is key to quantitative analysis and application observational data. Due high spectral resolution general greenhouse gas (GHG) detection instruments, common Fraunhofer lines in solar atmosphere can be used as a reference for calibration. Based on performances GHG instrument under development, this study simulated instrument’s solar-viewing measurement spectra analyzed main sources errors method using lines,...
As a promising cancer treatment modality that has emerged, photothermal therapy can harness antitumor immunity by triggering immunogenic cell death (ICD) in addition to direct ablation. However, the immuno-stimulation induced PTT alone is insufficient achieve satisfactory eradication, especially immunologically "cold" tumors due their harsh immunosuppressive microenvironment. Effective activation of innate immune system indispensable boost robust adaptive response typically initiated...
Compared to wide-field telescopes, small-field detection systems have higher spatial resolution, resulting in stronger capabilities and positioning accuracy. When detecting by small fields synchronous orbit, both space debris fixed stars are imaged as point targets, making it difficult distinguish them. In addition, with the improvement capabilities, number of background rapidly increases, which puts requirements on recognition algorithms. Therefore, star is indispensable for identifying...
This paper estimates the pose of a noncooperative space target utilizing direct method monocular visual simultaneous location and mapping (SLAM). A Large Scale Direct SLAM (LSD-SLAM) algorithm for estimation based on photometric residual pixel intensities is provided to overcome limitation existing feature-based on-orbit methods. Firstly, new sequence images are continuously inputted, each current frame calculated according minimizing intensities. Secondly, frames distinguished as keyframes...
For on-orbit radiometric calibration of infrared (IR) satellite instruments, we have developed a blackbody source whose temperature can be accurately determined by use miniature phase change cells to provide fixed points. The temperatures and reproducibility six containing H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> O, Ga–Sn alloy, Ga–Zn phenyl salicylate (PS), succinonitrile, Ga were the measurement plateaux. points measured using...
Convolutional neural network-based image super-resolution methods have achieved great success in recent years. However, the huge memory and computational costs make most of existing difficult to be applied resource-constrained scenarios such as edge devices. To tackle this problem, we propose a generic, lightweight efficient feature fusion block replace commonly used 1*1 convolution. In addition, enhanced shallow residual blocks improve performance. By combining these two novel blocks,...
Abstract 20-hydroxyeicosatetraenoic acid (20-HETE), a CYP450-derived arachidonic metabolite in the microcirculation, contributes to vascular tone and stimulates epithelial cell proliferation, angiogenesis inflammation, all of which play role cancer progression. Our laboratory identified 20-HETE as mediator androgen-induced hypertension. Given that androgen pathogenesis prostate cancer, we examined presence function human cells. Androgen-responsive cells, LNCaP, produced 2-fold more compared...
Reliable pose estimation for non-cooperative spacecraft is a key technology in-orbit service and active debris removal missions. Utilizing deep learning techniques processing monocular camera images effective hotspot of current research. To reduce errors improve model generalization, researchers often design multi-head loss functions or use generative models to achieve complex data augmentation, which makes the task time-consuming. We propose pyramid vision transformer spatial-aware...
Compared to wide-field telescopes, small-field detection systems have higher spatial resolution, resulting in stronger capabilities and positioning accuracy. When detecting by synchronous orbit, both space debris fixed stars are imaged as point targets, making it difficult distinguish them. In addition, with the improvement of capabilities, number background rapidly increases, which puts requirements on recognition algorithms. Therefore, star is indispensable for identifying locating complex...
The Atmospheric Radiative Transfer Simulator (ARTS) has been widely used in the radiation transfer simulation from microwave to terahertz. Due same physical principles, ARTS can also be for simulations of thermal infrared (TIR). However, thorough evaluations TIR region are still lacking. Here, we evaluated performance 600–1650 cm−1 taking Line-By-Line Model (LBLRTM) as a reference model. Additionally, moderate resolution atmospheric transmission (MODTRAN) band model (BM) and correlated-k...
In non-ferrous smelting scenes, complex environments, uneven lighting conditions, and inaccurate automatic exposure parameters result in the panoramic image having obvious seams significant brightness differences different regions. To address these issues, a novel stitching method based on Scale-Invariant Feature Transform (SIFT) color constancy theory was proposed. Initially, input preprocessed followed by feature extraction matching. Subsequently, processing matching points performed to...
Compression artifacts removal methods based on convolutional neural networks have attracted great attention. However, most existing require a specific trained model for compression quality factor (QF), which inevitably leads to resource-consuming. Unfortunately, the QF is unknown in practical applications, so it intractable choose suitable model. In this work, we experimentally analyze relationship between index estimation and removal. Based connection them, couple with into unified network....
Objective: 20-Hydroxyeicosatetraenoic acid (20-HETE) is a cytochrome P450-derived arachidonic metabolite and plays an important in regulating the vascular tone microcirculation. Recent reports documented ability of certain cancer cells to produce 20-HETE synthesis inhibitors decrease tumor growth. Meanwhile, significantly elevated urine prostate patient compared with healthy volunteers removing prostatic gland correlates decreasing level urinary 20-HETE. These evidences lead us investigate...