- Maritime Transport Emissions and Efficiency
- Oil Spill Detection and Mitigation
- Atmospheric chemistry and aerosols
- Image Enhancement Techniques
- Circular RNAs in diseases
- Vehicle emissions and performance
- MicroRNA in disease regulation
- Infrared Target Detection Methodologies
- Connective Tissue Growth Factor Research
- Kruppel-like factors research
- Marine and coastal ecosystems
- Petroleum Processing and Analysis
- Optical Polarization and Ellipsometry
- Water Quality Monitoring and Analysis
- Spectroscopy and Laser Applications
- Cancer-related molecular mechanisms research
- Ocean Waves and Remote Sensing
- thermodynamics and calorimetric analyses
- Fire Detection and Safety Systems
- Lipid Membrane Structure and Behavior
- Laser Material Processing Techniques
- Lanthanide and Transition Metal Complexes
- Spectroscopy and Chemometric Analyses
- Ferroptosis and cancer prognosis
- Mitochondrial Function and Pathology
Shandong Jianzhu University
2024
Chinese Academy of Sciences
2022-2024
Dalian Maritime University
2019-2024
Dalian Institute of Chemical Physics
2022-2024
Second Affiliated Hospital of Dalian Medical University
2022-2024
Dalian Medical University
2022-2024
First Hospital of Shijiazhuang
2019-2023
First Affiliated Hospital of Henan University
2021-2022
First Affiliated Hospital of Henan University of Traditional Chinese Medicine
2012
Cerebral infarction is a common cerebrovascular disease caused by neural cell injury, with high mortality worldwide. Circular RNAs HECT domain E3 ubiquitin-protein ligase 1 (circ_HECTD1) has been reported to be related the oxygen-glucose deprivation/reperfusion (OGD/R)-caused neuronal damage in cerebral ischemia. This study designed explore role and mechanism of circ_HECTD1 OGD/R-induced injury Circ_HECTD1, microRNA-27a-3p (miR-27a-3p), Follistatin-like (FSTL1) level were detected real-time...
Sea surface windspeed is one of the important factors that affects reflection and radiation intensity sea oil film, posing challenges for spill classification via marine optical remote sensing. A new method proposed to extract significant features from original hyperspectral sensing data apply them qualitative analysis quantitative estimation local windspeed. First, a portable push-broom sensor was utilized collect under different experimental conditions. After divided into spatial-spectral...
Gastric cancer (GC) is one of the most aggressive types human tumor worldwide, and 5‑year survival rate less than 25%. The transcriptional factor, forkhead box O3 (FOXO3), regulated by various micro (mi)RNAs has been reported to be associated with multiple regulatory signaling pathways involved in development. current study therefore assessed impact miR‑629 FOXO3 on gastric cancer. Reverse transcription‑quantitative polymerase chain reaction western blotting were performed assess expression...
Hyperspectral remote sensing is currently being used to detect and monitor marine oil spills that cause damage the environment. However, nonlinear interactions of water make it difficult extract their fractional abundances from spectral response. Improving modelling hyperspectral mixtures, which required for a thorough reliable characterization materials in an image, remains challenging yet fundamental task. This study proposes new model combines polynomial trigonometric systems understand...
Background: Claudins (CLDNs) are a family of closely related transmembrane proteins that have been linked to oncogenic transformation and metastasis across range cancers, suggesting they may be valuable diagnostic and/or prognostic biomarkers can used evaluate patient outcomes. However, CLDN expression patterns associated with colorectal cancer (CRC) remain defined. Methods: The mRNA levels 21 different genes were assessed 20 tumor types using the Oncomine database. Correlations between...
The accurate identification of target imagery in the presence sea fog is essential for precise detection and comprehension targets situated at sea. To overcome issues encountered when applying traditional polarimetric dehazing methods to imagery, this paper proposes an improved method. Initially, methodology employs quartile-based selection on polarization difference images ascertain atmospheric light infinite distance. Subsequently, study describes a segmentation approach sea–sky background...
Silicon carbide (SiC) is utilized in the automotive, semiconductor, and aerospace industries because of its desirable characteristics. Nevertheless, traditional machining method induces surface microcracks, low geometrical precision, severe tool wear due to intrinsic high brittleness hardness SiC. Femtosecond laser processing as a high-precision offers new approach SiC processing. However, during process femtosecond ablation, temperature redistribution changes morphology features are caused...
Strengthening regulations on carbon emissions from ships is important for ensuring that China can achieve its dual aims of reaching peak before 2030 and achieving neutrality 2060. Currently, the primary means monitoring ship exhaust are sniffing method non-imaging optical remote sensing; however, these methods suffer a low prediction efficiency high cost. We developed predicting CO2 content uses convolutional neural network mid-infrared spectral images. First, bench experiment was performed...
The SO2 discharged by ships causes serious pollution to the atmosphere. Therefore, International Maritime Organization has set strict requirements on sulfur content of marine fuel. For first time, this study investigates optimal detection wavelength based imaging technology realize an accurate monitoring concentration in ship exhaust. First, a simulation analysis model (SAMID) exhaust is proposed and analyzed study. Next, bench experiment designed. values range gas required for are obtained....
The emission of SO2 from ships is an important source atmospheric pollution. Therefore, the International Maritime Organization (IMO) has established strict requirements for sulfur content marine fuel oil. In this paper, a new optical noncontact detection technique ship exhaust emissions analysis studied. Firstly, single-band simulation model imaging technology concentration in gas and deep neural network prediction were established. A bench test was designed to monitor tail simultaneously...
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Sea haze reduces the visibility of ships and makes optical imaging system blind, which increases difficulty ship remote sensing. In this paper, we propose a new method for polarization sensing in sea haze. The takes advantage image removal exposure correction to improve Different from existing polarization-based methods, proposed does not depend on any assumptions about properties incident light. is based Retinex model Bayes theorem, can images. To evaluate effectiveness method, implemented...
Polarized 3D imaging technology reconstructs the three-dimensional (3D) surface shape of an object by analyzing polarization characteristics light reflected from its surface. A key challenge in polarized is accurately estimating zenith angle. Specular poses a notable angle because it conveys limited information regarding target. To enhance accuracy and robustness estimation for specular light, this study proposes novel method that utilizes both diffuse reflections. Based on estimated angle,...