A5054086154- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Black Holes and Theoretical Physics
- Atomic and Subatomic Physics Research
- Neutrino Physics Research
- Dark Matter and Cosmic Phenomena
- Medical Imaging Techniques and Applications
- Genomics and Phylogenetic Studies
- Cold Atom Physics and Bose-Einstein Condensates
- Advanced Algebra and Geometry
- Educational Technology and Pedagogy
- Computational Drug Discovery Methods
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Facial Rejuvenation and Surgery Techniques
- Advanced NMR Techniques and Applications
- Reconstructive Facial Surgery Techniques
- Machine Learning in Materials Science
- Particle Accelerators and Free-Electron Lasers
- Bioinformatics and Genomic Networks
- Botulinum Toxin and Related Neurological Disorders
Soochow University
2025
China Mobile (China)
2025
Xi'an University of Finance and Economics
2024
Institute of High Energy Physics
2017-2024
Chengdu Third People's Hospital
2024
GSI Helmholtz Centre for Heavy Ion Research
2014
COMSATS University Islamabad
2014
China Center of Advanced Science and Technology
2014
Beihang University
2014
Accurate prediction of drug–target interactions (DTIs) is pivotal for accelerating the processes drug discovery and repurposing. MVCL-DTI, a novel model leveraging heterogeneous graphs predicting DTIs, tackles challenge synthesizing information from varied biological subnetworks. It integrates neighbor view, meta-path diffusion view to capture semantic features employs an attention-based contrastive learning approach, along with multiview attention-weighted fusion module, effectively...
Accurately predicting the pathogenicity of missense variants is crucial for improving disease diagnosis and advancing clinical research. However, existing computational methods primarily focus on general predictions, overlooking assessments disease-specific conditions. In this study, we propose DS-MVP, a method capable in human genomes. DS-MVP first leverages deep learning model pre-trained large dataset to learn rich representation variants. It then fine-tunes these representations with an...
In today’s rapid development of global technology, the demand for scientific and technological talents remains high. To provide a reliable talent referral channel, recommendation model based on Bidirectional Encoder Representation from Transformers (BERT) Bi-directional Long Short-Term Memory (BLSTM) was constructed. This enables matching talented individuals with job opportunities. The results demonstrated that accuracy F1 value BLSTM-BERT in test set were 0.95 0.92, respectively. precision...
Hyaluronic acid injection for chin augmentation presents a minimally invasive technique that has garnered increasing popularity. Although the region is generally regarded as relatively safe with lower likelihood of ischemic complications, it imperative to recognize severe adverse events can still arise due variations in vascular or bone structures. This article documents rare case necrosis affecting skin, floor mouth, and tongue after hyaluronic augmentation, which was successfully managed...