Publications by authors named "Xingran Guo"
Article Synopsis
- The advancement of Unmanned Aerial Vehicles (UAVs) has improved urban target detection, but challenges like subtle features and complex backgrounds still hinder accuracy.
- The introduction of the Polysemantic Cooperative Detection Transformer (Pc-DETR), featuring the innovative Polysemantic Transformer (PoT) Backbone, enhances detection by utilizing contextual information and a dynamic attention matrix.
- The new training scheme, Polysemantic Cooperative Mixed-Task Training, increases learning capacity through diverse label assignments, achieving a 3% accuracy improvement over existing models like MFEFNet and pushing the boundaries for UAV surveillance systems.
Photodynamic therapy (PDT) is a therapeutic modality that depends on the interaction of light, photosensitizers, and oxygen. The photon absorption and energy transfer process can lead to the Type II photochemical reaction of the photosensitizer and the production of singlet oxygen (O), which strongly oxidizes and reacts with biomolecules, ultimately causing oxidative damage to the target cells. Therefore, O is regarded as the key photocytotoxic species accountable for the initial photodynamic reactions for Type II photosensitizers.
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