A5101752106- Advanced Radiotherapy Techniques
- Multilevel Inverters and Converters
- Ship Hydrodynamics and Maneuverability
- Fluid Dynamics Simulations and Interactions
- semigroups and automata theory
- Advanced DC-DC Converters
- Fuzzy and Soft Set Theory
- Wheat and Barley Genetics and Pathology
- Rings, Modules, and Algebras
- Advanced Wireless Communication Techniques
- Natural Language Processing Techniques
- Advanced Algebra and Logic
- Engineering Applied Research
- Industrial Technology and Control Systems
- Robotic Mechanisms and Dynamics
- Radiomics and Machine Learning in Medical Imaging
- Topic Modeling
- Aerospace and Aviation Technology
- Robotic Locomotion and Control
- Smart Agriculture and AI
- Microgrid Control and Optimization
- Maritime Transport Emissions and Efficiency
- Plant Disease Resistance and Genetics
- Prosthetics and Rehabilitation Robotics
- Advanced X-ray and CT Imaging
Beijing Jiaotong University
2025
Tsinghua–Berkeley Shenzhen Institute
2022-2025
Tsinghua University
2020-2025
Central South University of Forestry and Technology
2025
Central South University
2025
Harbin Institute of Technology
2025
Sichuan Agricultural University
2024
Shanghai Jiao Tong University
2013-2024
Institute of Crop Sciences
2016-2024
Chinese Academy of Agricultural Sciences
2016-2024
Abstract MgH 2 has attracted intensive interests as one of the most promising hydrogen storage materials. Nevertheless, high desorption temperature, sluggish kinetics, and rapid capacity decay hamper its commercial application. Herein, 2D TiO nanosheets with abundant oxygen vacancies are used to fabricate a flower-like /TiO heterostructure enhanced performances. Particularly, onset temperature is lowered down 180 °C (295 for blank ). The initial rate reaches 2.116 wt% min −1 at 300 °C, 35...
This study aims to utilize a deep convolutional neural network (DCNN) for synthesized CT image generation based on cone-beam (CBCT) and apply the images dose calculations nasopharyngeal carcinoma (NPC). An encoder-decoder 2D U-Net was produced. A total of 70 CBCT/CT paired NPC cancer patients were used training (50), validation (10) testing datasets. The datasets treated with same prescription (70 Gy PTVnx70, 68 PTVnd68, 62 PTV62 54 PTV54). mean error (ME) absolute (MAE) true calculated...
Abstract Metal‐organic frameworks (MOFs) have exhibited encouraging catalytic activity for the oxygen evolution reaction (OER), a crucial process water electrolysis to produce green hydrogen. Nonetheless, distinguishing source of and establishing structure‐composition‐property relationships MOFs during OER processes remain challenging. Here, first time, operando X‐ray absorption spectroscopy (XAS) is utilized monitor structural identify active components ferrocene‐based (Ni‐Fc) OER....
LoRa has been shown as a promising platform for connecting large scale of Internet Things (IoT) devices, by providing low-power long-range communication with low data rate. different transmission parameters (e.g., power and spreading factor) to tradeoff noise resilience, range energy consumption environments. Thus, adjusting those is essential performance. Existing approaches are mainly threshold based fail achieve optimal efficiency. We propose DyLoRa, dynamic control system improve The...
Abstract Rechargeable magnesium sulfur batteries (MSBs) face issues like polysulfide shuttling, sluggish redox kinetics, and high cost, leading to dissatisfied practical demonstrations. Herein, simple battery configurations utilizing 100% are proposed on nine collectors a low‐cost phenolate‐based complex (PMC) electrolyte address these problems. Comprehensive studies indicate that the Cu collector is most conducive improving performance, not only facilitating generation of sulfides during...
Novel SiO2 nanoparticles (NPs) costabilized by a low-molecular-weight ligand (steric stabilization) and zwitterionic surfactant (electrostatic were developed for enhanced oil recovery purpose in sandstone reservoirs with high salinity elevated temperatures. According to our experiments, the proposed NPs not sensitive either monovalent or divalent cations, whose size remained around 10.0 nm API brine within 8 weeks at 25 °C 4 60 °C. Using reduced NP dosage required induce wettability...
While large language models (LLMs) like ChatGPT have shown impressive capabilities in Natural Language Processing (NLP) tasks, a systematic investigation of their potential this field remains largely unexplored. This study aims to address gap by exploring the following questions: (1) How are LLMs currently applied NLP tasks literature? (2) Have traditional already been solved with LLMs? (3) What is future for NLP? To answer these questions, we take first step provide comprehensive overview...
Abstract. A small-range fine-spraying collaborative robot (SFSC) for vehicle surface repair has been designed, which 4 degrees of freedom. Conventional control methods, such as sliding mode (SMC) have difficulty meeting the accuracy requirements when end attitude adjustment robotic arm is spraying. Focusing on problem tracking a multi-joint with uncertain information, modeling uncertainty and random interference, predefined-time radial basis function (RBF) neural network (PRC) method...
In high-speed railway signaling systems, the network structure of Train Control Center and Inter-locking Integrated System (TIS) is highly complex, with a large number interfaces, numerous redundant channels, forwarding components such as switches. These factors result in challenges insufficient accuracy, low efficiency, poor real-time performance terms monitoring fault diagnosis. As scale yards continues to expand, these issues are becoming increasingly prominent. To address challenges,...
How to alleviate the hallucinations of Large Language Models (LLMs) has always been fundamental goal pursued by LLMs research community. Looking through numerous hallucination-related studies, a mainstream category methods is reduce optimizing knowledge representation change their output. Considering that core focus these works acquired models, and long central theme in human societal progress, we believe process models refining can greatly benefit from way humans learn. In our work,...
Leveraging mathematical Large Language Models (LLMs) for proof generation is a fundamental topic in LLMs research. We argue that the ability of current to prove statements largely depends on whether they have encountered relevant process during training. This reliance limits their deeper understanding theorems and related concepts. Inspired by pedagogical method "proof counterexamples" commonly used human mathematics education, our work aims enhance LLMs' conduct reasoning through...
Grammatical error classification plays a crucial role in language learning systems, but existing taxonomies often lack rigorous validation, leading to inconsistencies and unreliable feedback. In this paper, we revisit previous for grammatical errors by introducing systematic qualitative evaluation framework. Our approach examines four aspects of taxonomy, i.e., exclusivity, coverage, balance, usability. Then, construct high-quality dataset annotated with multiple evaluate them grounding on...
The urbanization process is unstoppable, with towering high-rise buildings emerging one after another. In this rapidly developing era, urban continue to rise, and the safety hazards fire problems of in cities have not been well solved. Intelligent smoke alarms based on microcontrollers significant practical significance. Design a real-time detection system STM32 microcontroller as core, combined temperature, smoke, flame sensors detect various environmental values real time, providing early...