A5101404098- Topic Modeling
- Advanced Neural Network Applications
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Multimodal Machine Learning Applications
- Tactile and Sensory Interactions
- Advanced Battery Technologies Research
- Electric and Hybrid Vehicle Technologies
- Visual perception and processing mechanisms
- Advanced Image and Video Retrieval Techniques
- Natural Language Processing Techniques
- Complement system in diseases
- Elasticity and Wave Propagation
- Subtitles and Audiovisual Media
- Advanced Combustion Engine Technologies
- S100 Proteins and Annexins
- High-Velocity Impact and Material Behavior
- Phytoplasmas and Hemiptera pathogens
- Invertebrate Immune Response Mechanisms
- Dynamics and Control of Mechanical Systems
- Emotion and Mood Recognition
- Ergonomics and Musculoskeletal Disorders
- Visual and Cognitive Learning Processes
- Human Pose and Action Recognition
- Iterative Learning Control Systems
- Fault Detection and Control Systems
Guangdong Academy of Medical Sciences
2020-2025
Southern Medical University
2024-2025
Guangdong Provincial People's Hospital
2020-2025
Nanjing University of Aeronautics and Astronautics
2024
Ministry of Industry and Information Technology
2024
Liaoning Technical University
2024
Beijing University of Chemical Technology
2023
Wuhan University of Technology
2023
China First Heavy Industries (China)
2023
South China University of Technology
2020-2022
Arbitrary-oriented object detection (AOOD) is a challenging task to detect objects in the wild with arbitrary orientations and cluttered arrangements. Existing approaches are mainly based on anchor-based boxes or dense points, which rely complicated hand-designed processing steps inductive bias, such as anchor generation, transformation, non-maximum suppression reasoning. Recently, emerging transformer-based view direct set prediction problem that effectively removes need for components...
Abstract Asthma is a common respiratory disease, and immune system dysregulation has direct relevance to asthma pathogenesis. Probiotics prebiotics have immunomodulatory effects can regulate responses may attenuate allergic reactions. Therefore, in this study, we explored the role of probiotics regulating acute airway inflammation TLR4/NF-kB pathway. Allergic model BALB/c mice was produced treated with (LA-5, GG, BB-12) (FOS GOS). Then AHR, BALF cells count, EPO activity, IL-4, 5, 13, 17,...
Visual contexts often help to recognize named entities more precisely in short texts such as tweets or snapchat. For example, one can identify "Charlie'' a name of dog according the user posts. Previous works on multimodal entity recognition ignore corresponding relations visual objects and entities. are considered fine-grained image representations. sentence with multiple types, relevant be utilized capture different information. In this paper, we propose neural network which combines...
Named Entity Recognition (NER) in social media posts is challenging since texts are usually short and contexts lacking. Most recent works show that visual information can boost the NER performance images provide complementary contextual for texts. However, image-level features ignore mapping relations between fine-grained objects textual entities, which results error detection entities with different types. To better exploit NER, we propose an adversarial gated bilinear attention neural...
Extracting relations in social media posts is challenging when sentences lack of contexts. However, images related to these can supplement such missing contexts and help identify precisely. To this end, we present a multimodal neural relation extraction dataset (MNRE), consisting 10000+ on 31 derived from Twitter annotated by crowdworkers. The subject object entities are recognized pretrained NER tool then filtered All the identified manually. One sentence tagged with one image. We develop...
Sepsis is a common critical condition that can lead to multiple organ injury. Sepsis-induced acute respiratory distress syndrome (ARDS) frequently an important cause of poor prognosis and associated with high mortality rates, despite existing therapeutic interventions. Neutrophil infiltration extracellular traps (NET) are implicated in lung injury (ALI) ARDS following sepsis. As circulating neutrophils infiltrate infected tissues, they come into direct contact vascular endothelial cells...
Although the extraction of traditional features has achieved good performance in kidney segmentation, automatic segmentation whole ultrasound images is still challenging. Due to characteristics such as obvious noise, severe redundancy information and low image contrast, it difficult achieve accurate by directly using fully convolutional dense network (FC-DenseNet). Therefore, we propose a cascaded FC-DenseNet, that is, model coarse-to-fine segmentation. By training coarse model, prediction...
To enhance the impact resistance of hydraulic columns, a theoretical analysis method was employed to develop dynamic characteristic model for conventional columns under loads. This facilitated derivation key parameters such as equivalent stiffness, maximum retraction amount, and duration. A fluid-solid coupling column constructed using finite element coupled Eulerian-Lagrangian (CEL) methods. Subsequently, numerical simulation results were compared analyzed against predictions. Based on this...
The effect of neutrophil extracellular traps (NETs) on promoting intravascular microthrombi formation and exacerbating the severity sepsis in patients has gained extensive attention. However, sepsis, mechanisms key signaling molecules mediating NET during direct interactions endothelial cells neutrophils still need further explored. Herein, we utilized lipoteichoic acid (LTA), a component shared by Gram-positive bacteria, to induce extrusion from firmly adhered glass slides coated with...
Electric Vertical Takeoff and Landing (eVTOL) aircraft, as a highly promising future transportation mode, offers new possibilities for solving traffic congestion. Its unique flight mode high power requirements present significant challenges battery thermal management system design. Compared to electric vehicles, eVTOLs have totally different usage scenarios operating conditions, leading the fact that of conventional vehicles is not applicable eVTOLs. This paper focuses on typical eVTOL...
As assessment in translation and interpreting (T&I) has been under-researched under-represented (Arango-Keeth & Koby, 2003, p. 117), this edited volume adds to the understanding of some thorny ...
A series of indoledione derivatives displaying potent activities against ELOVL6 were selected to establish three-dimensional quantitative structure-activity relationships (3D-QSAR) using CoMFA and CoMSIA methods. training set 30 active compounds was used develop the models while a test 8 for external validation. The analysis predicted q2 value 0.817 an r2 0.990. best model, based on combination steric, electrostatic hydrophobic effects, 0.760 0.959. These graphically interpreted contour...
Background: Representation of objects can be obtained through tactual perception alone. The previous studies showed that there were no significant differences between the index finger and middle when participants perceived length presented objects, however, characteristics thumb each four other fingers remains unclear. Objective: To investigate fingers, current study using a four-degree-of-freedom (4DOF) display device with an adjustable distance conducted experiments. Methods: We performed...
Arbitrary-oriented object detection (AOOD) is a challenging task to detect objects in the wild with arbitrary orientations and cluttered arrangements. Existing approaches are mainly based on anchor-based boxes or dense points, which rely complicated hand-designed processing steps inductive bias, such as anchor generation, transformation, non-maximum suppression reasoning. Recently, emerging transformer-based view direct set prediction problem that effectively removes need for components...