- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Black Holes and Theoretical Physics
- Natural Language Processing Techniques
- Geographic Information Systems Studies
- Nanoplatforms for cancer theranostics
- Nuclear physics research studies
- Dark Matter and Cosmic Phenomena
- Topic Modeling
- Photodynamic Therapy Research Studies
- Neutrino Physics Research
- Semantic Web and Ontologies
- Combustion and flame dynamics
- Herpesvirus Infections and Treatments
- Speech and dialogue systems
- Smart Materials for Construction
- Astrophysics and Cosmic Phenomena
- Advanced Glycation End Products research
- Human Mobility and Location-Based Analysis
- Plant Virus Research Studies
- Soil and Unsaturated Flow
- Travel-related health issues
- Automated Road and Building Extraction
- Atomic and Subatomic Physics Research
Hunan University
2012-2025
Hong Kong University of Science and Technology
2024
University of Hong Kong
2024
Shanxi Agricultural University
2024
National University of Singapore
2024
Anhui Medical University
2024
Guangxi Normal University
2011-2016
GSI Helmholtz Centre for Heavy Ion Research
2015
Central China Normal University
2015
Beijing Institute of Petrochemical Technology
2015
Immunotherapy is a promising cancer treatment, but its application hindered by tumors’ low immunogenicity and the difficulty of immune cell infiltration. Here, to address above issues achieve targeted tumor we designed first activated small molecule photosensitizer immune‐prodrug HDIM based on pyroptosis, proposed self‐amplified therapy strategy (SITS) for enhanced therapy. HDIMcan be specifically hypoxiaand then simultaneously initiate immuno‐therapy photodynamic (PDT)‐induced pyroptosis...
Immunotherapy is a promising cancer treatment, but its application hindered by tumors' low immunogenicity and the difficulty of immune cell infiltration. Here, to address above issues achieve targeted tumor we designed first activated small molecule photosensitizer immune-prodrug HDIM based on pyroptosis, proposed self-amplified therapy strategy (SITS) for enhanced therapy. HDIMcan be specifically hypoxiaand then simultaneously initiate immuno-therapy photodynamic (PDT)-induced pyroptosis...
Senescence is an intricate physiological progression that can be instigated by a multiplicity of factors. Aberrant cellular senescence capable precipitating substantial array diseases. During chemotherapy, drugs typically tend to gradually accumulate in the liver, thereby inducing liver and leading successive deterioration its function. β-galactosidase (β-gal), serving as significant index exploration senescence, has attracted considerable attention. In this study, fluorescence/photoacoustic...
As Multimodal Large Language Models (MLLMs) develop, their potential security issues have become increasingly prominent. Machine Unlearning (MU), as an effective strategy for forgetting specific knowledge in training data, has been widely used privacy protection. However, MU safety MLLM yet to be fully explored. To address this issue, we propose SAFEERASER, a unlearning benchmark MLLMs, consisting of 3,000 images and 28.8K VQA pairs. We comprehensively evaluate methods from two perspectives:...
Objective: To explore the effects of different external treatment methods on biofeedback stimulation in patients with autism, analyze impact stimuli transmission neural network signals patients, and evaluate therapeutic autism patients. Method: 120 autistic under age 13 were selected divided into a control group an experimental group. The intervened combination painting therapy traditional treatment. only therapy. During experiment, relevant instruments used to collect changes patient’s eye...
In human reading and communication, individuals tend to engage in geospatial reasoning, which involves recognizing geographic entities making informed inferences about their interrelationships. To mimic such cognitive process, current methods either utilize conventional natural language understanding toolkits, or directly apply models pretrained on geo-related corpora. However, these face two significant challenges: i) they do not generalize well unseen scenarios, ii) overlook the importance...
Hallucination issues persistently plagued current multimodal large language models (MLLMs). While existing research primarily focuses on object-level or attribute-level hallucinations, sidelining the more sophisticated relation hallucinations that necessitate advanced reasoning abilities from MLLMs. Besides, recent benchmarks regarding lack in-depth evaluation and effective mitigation. Moreover, their datasets are typically derived a systematic annotation process, which could introduce...
In recent years, multimodal large language models (MLLMs) have significantly advanced, integrating more modalities into diverse applications. However, the lack of explainability remains a major barrier to their use in scenarios requiring decision transparency. Current neuron-level explanation paradigms mainly focus on knowledge localization or language- and domain-specific analyses, leaving exploration multimodality largely unaddressed. To tackle these challenges, we propose MINER,...
In human reading and communication, individuals tend to engage in geospatial reasoning, which involves recognizing geographic entities making informed inferences about their interrelationships. To mimic such cognitive process, current methods either utilize conventional natural language understanding toolkits, or directly apply models pretrained on geo-related corpora. However, these face two significant challenges: i) they do not generalize well unseen scenarios, ii) overlook the importance...
Diabetes mellitus (DM) is a chronic metabolic disease that highly susceptible to kidney injury. Di'ao XinXueKang capsules (DXXK) novel Chinese herbal medicine has been used in clinical trials for the therapy of DM and disease, but underlying pharmacological mechanism remains unclear. This study aims integrate network pharmacology, molecular docking vivo experiments explore potential mechanisms DXXK treatment diabetic The chemical constituents were extracted from ETCM Batman-TCM databases,...