A5101978641- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Machine Learning and Data Classification
- Domain Adaptation and Few-Shot Learning
- Periodontal Regeneration and Treatments
- Advanced Graph Neural Networks
- Formal Methods in Verification
- Wound Healing and Treatments
- Biochemical effects in animals
- MicroRNA in disease regulation
- Text and Document Classification Technologies
- Robotics and Sensor-Based Localization
- Bioinformatics and Genomic Networks
- Pressure Ulcer Prevention and Management
- Cancer-related molecular mechanisms research
- 3D Surveying and Cultural Heritage
- Neurological Disorders and Treatments
- Image and Object Detection Techniques
- Sentiment Analysis and Opinion Mining
- Complex Network Analysis Techniques
- Software Reliability and Analysis Research
- Advanced Image Processing Techniques
- Topic Modeling
- Advanced Text Analysis Techniques
- Remote-Sensing Image Classification
Shandong First Medical University
2025
117th Hospital of People's Liberation Army
2025
Nankai University
2023-2024
Zhejiang University of Technology
2021-2024
Wuhan University of Science and Technology
2023-2024
Hangzhou Hospital of Traditional Chinese Medicine
2024
Wenzhou Central Hospital
2019-2024
Southwest Jiaotong University
2024
University of Chicago Medical Center
2023
Tianjin Medical University
2023
Emotion cause extraction is one of the most important applications in natural language processing tasks. It a difficult challenge due to complex semantic information between emotion description and whole document. Previous approaches have revealed that clause an indicator emotion-cause extraction. As such, selecting suitable has become interesting challenge. Different from existed selection methods which mainly focus on similarity description, this paper, we proposed hierarchical...
Diabetic skin wounds are difficult to heal quickly due insufficient angiogenesis and prolonged inflammation, which is an urgent clinical problem. To address this problem, it becomes imperative develop a dressing that can promote revascularization reduce inflammation during diabetic healing. Herein, multifunctional collagen (CTM) was constructed by loading large efficacy-potentiated exosome-mimicking nanovesicles (L-Meseomes) into porous sponge with transglutaminase (TGase). L-Meseomes were...
Connective tissue growth factor (CTGF) has different roles in types of cancer. However, the involvement and molecular basis CTGF tumor progression prognosis human nasopharyngeal carcinoma (NPC) have almost never been reported. In this study, we observed that downregulated expression was significantly associated with NPC poor prognosis. Knockdown markedly elevated ability cell proliferation vivo vitro. Subsequently, discovered reduction increased miR-18b, an oncomir-promoting proliferation....
It is important to establish a coronary heart disease (CHD) prediction model with high efficiency and precision for early diagnosis of CHD using clinical information. While existing deep learning-based models possess the limitations large datasets long training time, machine have low accuracy robustness, which are unsuitable application. This study aimed design fast high-precision intelligent information predict CHD. Five public datasets, including 303, 293, 200, 123 patients 55, 14, 14...
Heat shock protein 20 (HSP20) serves as a chaperone and plays roles in numerous biological processes, but the codon usage bias (CUB) of its genes has remained unexplored. This study identified 140 HSP20 from four cruciferous species, Arabidopsis thaliana, Brassica napus, rapa, Camelina sativa, that were Ensembl plants database, we subsequently investigated their CUB. As result, base composition analysis revealed overall GC content was below 50%. The significantly correlated with constituents...
A novel Fourier technique for digital signal processing is developed. This approach to analysis based on the number-theoretic method of Mobius inversion series. The transform developed shown also yield convolution two signals. computer simulation shows that this finding coefficients quite suitable processing. It competes with classical FFT (fast transform) in terms accuracy, complexity, and speed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Biomedical event extraction plays an important role in the of biological information from large-scale scientific publications. However, most state-of-the-art systems separate this task into several steps, which leads to cascading errors. In addition, it is complicated generate features syntactic and dependency analysis separately. Therefore, paper, we propose end-to-end model based on long short-term memory (LSTM) optimize biomedical extraction. Experimental results demonstrate that our...
Accurate rail location is a crucial part in the railway support driving system for safety monitoring. LiDAR can obtain point clouds that carry 3D information environment, especially darkness and terrible weather conditions. In this paper, real-time recognition method based on proposed to solve challenges, such as disorderly, uneven density large volume of clouds. A voxel down-sampling first presented balanced clouds, pyramid partition designed divide scanning area into voxels with different...
Introduction Myocardial infarction (MI) is a fatal manifestation of coronary heart disease, and its underlying mechanism still largely unknown. Lipid levels composition alterations predict the risk MI complications. Glycerophospholipids (GPLs) are important bioactive lipids play crucial role in development cardiovascular diseases. However, metabolic changes GPLs profile during post-MI injury remain Methods In current study, we constructed classic model by ligating left anterior descending...
In the past years, significant improvements in field of neural architecture search(NAS) have been made. However, order to improve performance model, many search spaces contain multi-branch architectures, which leads gap between searched constraint and real inference time. this work, we propose a re-parameterization (Rep) space based on structural Rep techniques. space, subnets are training single-path inference. Furthermore, RepNAS, one-stage NAS approach, is present efficiently optimal...
BACKGROUND Emotional state can be affected by different training loads. The aim of this study was to explore the changes rat emotional state, as well mRNA and protein expressions N-methyl-D-aspartate receptors (NMDARs), postsynaptic density 95 (PSD-95), kinesin family member 17 (KIF-17) in hippocampus, long-term moderate-intensity high-intensity models rats. MATERIAL AND METHODS exercise model SD rats set up treadmill running moderate high intensities for 4 weeks. group were given endurance...
To explore the role of LncHOTAIR in apoptosis and autophagy lymphoma.The interaction between miR-6511b-5p, as well miR-6511b-5p ATG7, was verified by a dual luciferase assay. overexpression lentivirus transducted siATG7s were transfected into Raji BJAB lymphoma cells, efficiency qPCR. Lymphocyte proliferation detected cell counting kit-8 (CCK8) test, transmission electron microscopy. The protein expressions ULK1, Beclin1, LC3, Bax, cleaved-caspase 3, Bcl-2 using Western blots.There targeting...
Oriented bounding box regression is crucial for oriented object detection. However, regression-based methods often suffer from boundary problems and the inconsistency between loss evaluation metrics. A modulated Kalman intersection over union (IoU) of approximate SkewIoU proposed, named MKIoU. To avoid problems, we convert to Gaussian distribution then use filter area. there exists significant difference calculated actual areas. Thus, propose a modulation factor adjust sensitivity angle...
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Previous work demonstrated that the improvements in spectral efficiency and link reliability can be obtained wireless relay networks employing terminals with MIMO capability. In order to take advantage of while mitigate complexity decoding procedure, we propose a scheme applies ZF relaying at utilizes MMSE V-BLAST receiver destination terminal for two- hop half-duplex coherent networks. Considering channel estimation is often imperfect due noise interference, this paper extends design state...