A5115597295- Advanced Graph Neural Networks
- Astrophysics and Cosmic Phenomena
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Nutrition and Health in Aging
- Advanced Vision and Imaging
- Solar Radiation and Photovoltaics
- Radiomics and Machine Learning in Medical Imaging
- Gamma-ray bursts and supernovae
- Organ Transplantation Techniques and Outcomes
- Liver Disease and Transplantation
- Liver Disease Diagnosis and Treatment
- Energy Load and Power Forecasting
- Topic Modeling
- Powder Metallurgy Techniques and Materials
- Neutrino Physics Research
- Transportation and Mobility Innovations
- Advancements in Battery Materials
- Domain Adaptation and Few-Shot Learning
- Geotechnical Engineering and Analysis
- Bacterial biofilms and quorum sensing
- Dark Matter and Cosmic Phenomena
- Photovoltaic System Optimization Techniques
- Video Coding and Compression Technologies
- Alkaline Phosphatase Research Studies
- Underwater Vehicles and Communication Systems
Chinese Academy of Sciences
2010-2025
Tsinghua University
2024-2025
University of International Business and Economics
2025
Wenzhou Medical University
2024-2025
Nanjing University
2024-2025
Dongyang People's Hospital
2024-2025
Chongqing Bureau of Geology and Minerals Exploration
2025
University of Jinan
2024-2025
Jiangnan University
2024-2025
Inner Mongolia University of Technology
2025
Since the science white paper of Large High Altitude Air Shower Observatory (LHAASO) published on arXiv in 2019 [e-Print: 1905.02773 (astro-ph.HE)], LHAASO has completed transition from a project to an operational gamma-ray astronomical observatory is new generation multi-component facility located Daocheng, Sichuan province China, at altitude 4410 meters. It aims measuring with unprecedented sensitivity spectrum, composition, and anisotropy cosmic rays energy range between 10$^{12}$...
Plants respond to environmental stimuli by releasing volatile organic compounds (VOCs), which play diverse roles in plant-to-plant interactions. Previous studies have primarily focused on how receiving plants respond. However, little is known about these receivers communicate back the emitter and their subsequent impacts. Our findings indicated increased plant tolerance when neighboring were present, suggesting bidirectional communication. Furthermore, we established a model explore role of...
Although using artificial intelligence (AI) to analyze ultrasound images is a promising approach assessing thyroid nodule risks, traditional AI models lack transparency and interpretability. We developed multimodal generative pre-trained transformer for nodules (ThyGPT), aiming provide transparent interpretable copilot model risk assessment management. Ultrasound data from 59,406 patients across nine hospitals were retrospectively collected train test the model. After training, ThyGPT was...
This paper presents a novel and simple adaptive algorithm for estimating the position of mobile robot with high accuracy in an unknown unstructured environment by fusing images omnidirectional vision system measurements odometry inertial sensors. Based on new derivation where projection can be linearly parameterized positions natural feature points, we propose algorithm, which is similar to Slotine-Li model-based control, estimate robot's using tracked points image sequence, velocity,...
This study aims to analyze the historical trends of inflammatory bowel disease (IBD) burden in elderly from 1990 2021 and forecast future up 2051.
Problem definition: Drones, despite being acknowledged as a transformative force in the city logistics sector, are unable to execute last-meter delivery (unloading goods directly customers' doorsteps) due airspace restrictions and safety concerns. To leverage advancements overcome limitations of drones providing intra-city express services, we introduce coordinated drone-courier system where operate within closed network among vertiports, while couriers connect customers drone system. This...
Hafnium oxide (HfO2), particularly at low-dimensional scales, exhibits extensive promising applications in ultrahigh density devices like low-power logic and non-volatile memory due to its compatibility with current semiconductor technology1-5. However, achieving ferroelectricity (FE) ultimate scale especially undoped HfO2 remains challenging as the non-centrosymmetric FE phase, so-called O-III (space group: Pca21) is metastable has a strong tendency of depolarization decrease thickness6. Up...
ABSTRACT Supercapacitors attracted great attention for their expeditious charge and discharge rates splendid cyclic stability. The doping of heteroatoms into graphene (G) can alter the electronic configuration carbon atoms, alleviating stacking problem G‐based materials. This work focused on a one‐step green scalable electrochemical exfoliation strategy rapid preparation high‐quality thin‐layer G nanosheets with double halogen doping. as‐made chlorine (Cl) bromine (Br) dual‐doped (Cl/Br‐G)...
The conflict between exploitation of coal resources and environmental protection is highly pronounced in the Wanli mining area, located arid semi-arid region Inner Mongolia, China. impact operations has led to varying degrees surface subsidence, which further threatens ecological environment as extraction continues. Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) technique offers significant advantages over traditional subsidence monitoring methods, particularly...
Most graph contrastive learning (GCL) methods heavily rely on cross-view contrast, thus facing several concomitant challenges, such as the complexity of designing effective augmentations, potential for information loss between views, and increased computational costs. To mitigate reliance contrasts, we propose SIGNA, a novel single-view framework. Regarding inconsistency structural connection semantic similarity neighborhoods, resort to soft neighborhood awareness GCL. Specifically, leverage...
Myokine dysregulation and mitochondrial dysfunction are implicated in the pathogenesis of sarcopenia chronic obstructive pulmonary disease. The objective this study is to explore role myokines We identified mitsugumin 53 its clinical correlation through an enzyme-linked immunosorbent assay using plasma samples patients with was confirmed 53-knockout mice. underlying mechanisms were investigated multi-omics sequencing, live-cell imaging, histological molecular experiments. effectiveness...
Abstract Objective Phyllodes tumors (PTs) are rare breast with high recurrence rates, current methods relying on post-resection pathology often delay detection and require further surgery. We propose a deep-learning-based Tumors Hierarchical Diagnosis Model (PTs-HDM) for preoperative identification grading. Methods Ultrasound images from five hospitals were retrospectively collected, all patients having undergone surgical pathological confirmation of either PTs or fibroadenomas (FAs)....
Acute kidney injury (AKI) usually occurs after cardiopulmonary bypass (CPB) and threatens life without timely intervention. Early assessment prevention are critical for saving AKI patients. However, numerical data-driven models make it difficult to predict the risk using preoperative data lack preventive measures. Large language (LLM) have demonstrated significant potential medical decision-making, offering a promising approach. For of CPB-associated (CPB-AKI). Clinical variables were...
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by mental abnormalities and motor dysfunction. Its early classification prediction of clinical scores have been major concerns for researchers. Currently, multi-view data learning has become an essential research area due to the capacity multiple views provide complementary insights from various perspectives. However, discontinuous distribution, missing complexity, small sample size, redundant features in...