A5101273220- Bioinformatics and Genomic Networks
- Consumer Behavior in Brand Consumption and Identification
- Extraction and Separation Processes
- Biomedical Text Mining and Ontologies
- Traditional Chinese Medicine Studies
- Image Enhancement Techniques
- Quantum Dots Synthesis And Properties
- Carbon and Quantum Dots Applications
- Smart Grid Energy Management
- Software Reliability and Analysis Research
- Educational Technology and Assessment
- Consumer Packaging Perceptions and Trends
- 3D Modeling in Geospatial Applications
- Tourism, Volunteerism, and Development
- Sentiment Analysis and Opinion Mining
- Place Attachment and Urban Studies
- Social and Intergroup Psychology
- Photosynthetic Processes and Mechanisms
- Genomics, phytochemicals, and oxidative stress
- Digital Marketing and Social Media
- Advanced Neural Network Applications
- Web Application Security Vulnerabilities
- Computational Geometry and Mesh Generation
- Light effects on plants
- Bauxite Residue and Utilization
Zhejiang Chinese Medical University
2015-2024
Jiangxi University of Science and Technology
2023
Lanzhou University
2023
Jinan University
2022
East China Normal University
2022
South China Normal University
2021
State Grid Corporation of China (China)
2021
Zhejiang University
2018
Abstract Graphene with a series of neoteric electronic and optical properties is an intriguing building block for optoelectronic devices. Over the past decade, graphene‐based solar cells (SCs) photodetectors (PDs) which can convert light signals to electrical have received burgeoning exploration. However, limited absorption hampers performance these Quantum dots (QDs) possess strong confinement effect, large exciton energy, long lifetime, enhancing interaction between incident graphene....
Objectives: Large language models (LLMs) can harness medical knowledge for intelligent question answering (Q&A), promising support auxiliary diagnosis and talent cultivation. However, there is a deficiency of highly efficient retrieval-augmented generation (RAG) frameworks within the domain Traditional Chinese Medicine (TCM). Our purpose to observe effect Tree-Organized Self-Reflective Retrieval (TOSRR) framework on LLMs in TCM Q&A tasks. Materials Methods: We introduce novel approach...
Curcumin has been found to exhibit anticancer activity and certain studies have shown that curcumin triggers the apoptosis of human A549 lung adenocarcinoma cells. However, mechanism underlying curcumin‑mediated is not completely understood. The present study was designed investigate effect on induction apoptosis‑related factors in Treatment cells with caused a concentration‑dependent inhibition cell growth an increase apoptosis, as confirmed by THE MTT assay, flow cytometry morphology...
Abstract Conspicuous consumption, the purchase, and exhibit of expensive luxury items to signal wealth status others, is common in everyday life. Although conspicuous consumption seems be exclusive high‐status people, past research suggests that also allows people compensate for feeling being lower social hierarchy. Four studies (Study 1a: N = 242; Study 1b: 208; 2, 3, 128) examined relationship between subjective socioeconomic (SES) moderating role mobility beliefs. We found with low SES...
Software vulnerability detection is one of the key tasks in field software security. Detecting source code advance can effectively prevent malicious attacks. Traditional methods are often ineffective and inefficient when dealing with large amounts code. In this paper, we present BBVD approach, which treats high-level programming languages as another natural language uses BERT-based models processing domain to automate detection. Our experimental results on both SARD Big-Vul datasets...
Knowledge graphs (KGs) can integrate domain knowledge into a traditional Chinese medicine (TCM) intelligent syndrome differentiation model. However, the quality of current KGs in TCM varies greatly, related to lack graph completion (KGC) and evaluation methods.
Flexible block orders designed by European electricity market is a relatively perfect time-sharing price and clearing mechanism. It allows members to provide bidding form of diversification individuation according their own characteristics. This mechanism has features flexibility, compatibility expansibility, can reasonably express the trading demands various types participants, which including energy storage. Therefore, it be used solve problem participation model Considering actual...
Geometric model fitting has been widely used in various computer vision applications. However, it remains a challenging task when handling the data that contains multiple instances (i.e, structures) and large number of false matches (i.e., outliers) between image pairs. In this paper, we propose novel Neighborhood-Consistency-based Multiple-structure Fitting method (NCMF) to robustly estimate from with outliers, by preserving neighborhood relationships potential inliers. Specifically, first...
<sec> <title>BACKGROUND</title> Knowledge graphs (KGs) can integrate domain knowledge into a traditional Chinese medicine (TCM) intelligent syndrome differentiation model. However, the quality of current KGs in TCM varies greatly, related to lack graph completion (KGC) and evaluation methods. </sec> <title>OBJECTIVE</title> This study aims investigate KGC methods tailored for knowledge. <title>METHODS</title> In phase, according characteristics knowledge, we proposed 3-step...
Deep object detection models are important tools that can accurately detect objects and frame them for the user in real time. However, low visibility conditions, such as fog or light captured images underexposed blurred, which negatively affects recognition accuracy is not well visible to humans. In addition, image enhancement model complex time-consuming. Using before cannot meet real-time requirements. Therefore, we propose Parallel Detection Enhancement (PDE), detects enhances poorly...