- Drug-Induced Hepatotoxicity and Protection
- Nephrotoxicity and Medicinal Plants
- Advanced MRI Techniques and Applications
- Robotics and Sensor-Based Localization
- Heavy Metals in Plants
- Natural Language Processing Techniques
- Remote Sensing and LiDAR Applications
- Electromagnetic Launch and Propulsion Technology
- Artificial Intelligence in Law
- Robotic Path Planning Algorithms
- Rocket and propulsion systems research
- Immune Response and Inflammation
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Space Satellite Systems and Control
- Dispute Resolution and Class Actions
- 3D Surveying and Cultural Heritage
- Multi-Agent Systems and Negotiation
- Mycobacterium research and diagnosis
- Text Readability and Simplification
- Advanced Sensor and Control Systems
- Drug Transport and Resistance Mechanisms
- Hydraulic and Pneumatic Systems
- Advanced Fiber Optic Sensors
- Sparse and Compressive Sensing Techniques
Fudan University
2020-2024
Tsinghua University
2024
Shanghai Jiao Tong University
2024
Jiuquan Iron & Steel (China)
2023
Naval University of Engineering
2012
Abstract Purpose Demonstrate the potential of spatiotemporal encoding (SPEN) MRI to deliver largely undistorted 2D, 3D, and diffusion weighted images on a 110 mT portable system. Methods SPEN's quadratic phase modulation was used subsample low‐bandwidth dimension echo planar acquisitions, delivering alias‐free with an enhanced immunity image distortions in laboratory‐built, low‐field, system lacking multiple receivers. Results Healthy brain different SPEN time‐bandwidth products subsampling...
Abstract Purpose Spatiotemporal encoding (SPEN) MRI offers a unique alternative to address image distortion problems in echo planar acquisition‐based techniques, at portable low‐field systems that lack multiple receiver coils. However, existing 2‐π multislice SPEN schemes fail keep consistent SNRs and contrasts with different numbers of slice settings. This work proposes new scheme (SPENms) achieve stable quality imaging systems. Methods The proposed SPENms includes the insertion one...
Motivation: Low-field MRI's portability and safety make it appealing for real-time interventional navigation bedside evaluations, but lacks efficient strategies. Goal(s): Our goal was to demonstrate the potential of low-field MRI in by designing high-resolution echo-planar acquisition sequences. Approach: We harnessed long T2 short T1 properties design short-TR EPI sequences multi-shot postoperative assessments. Results: With 2D sequence, needle insertion images were successfully obtained,...
The emergence of Large Language Models (LLMs) has revolutionized how users access information, shifting from traditional search engines to direct question-and-answer interactions with LLMs. However, the widespread adoption LLMs revealed a significant challenge known as hallucination, wherein generate coherent yet factually inaccurate responses. This hallucination phenomenon led users' distrust in information retrieval systems based on To tackle this challenge, paper proposes Dynamic...
Recent advances in Large Language Models (LLMs) have significantly shaped the applications of AI multiple fields, including studies legal intelligence. Trained on extensive texts, statutes and documents, LLMs can capture important knowledge/concepts effectively provide support for downstream such as consultancy. Yet, dynamic nature interpretations also poses new challenges to use applications. Particularly, how update knowledge efficiently has become an research problem practice. Existing...
Recent advances in Large Language Models (LLMs) have significantly shaped the applications of AI multiple fields, including studies legal intelligence. Trained on extensive texts, statutes and documents, LLMs can capture important knowledge/concepts effectively provide support for downstream such as consultancy. Yet, dynamic nature interpretations also poses new challenges to use applications. Particularly, how update knowledge efficiently has become an research problem practice. Existing...
Structural health monitoring technology is a research hotspot in aerospace engineering and other fields. The establishment of structural system for umbilical tower can provide basis guidance its maintenance management decision-making. Based on the structure under construction, this paper focuses some key technologies application fiber Bragg grating monitoring, completes construction hardware platform design development related data analysis processing software. results show that sensor...
In order to realize the on-orbit servicing of malfunctioning spacecraft and space debris removal, it is necessary relative pose measurement establish fault model accurately. Aiming at problem modeling for non-cooperative spacecraft, a method based on monocular visual Simultaneous Localization Mapping (SLAM) proposed in this paper. The algorithm mainly used extract feature points, match calculate relation between camera measure change use image sequence build three-dimensional spacecraft....
Numerical method is used to build the entity model and finite element of a marine pump, modal analysis shows that frequency not equal operating resonance produced in pump.The calculate shock load which request GJB.The allowable strength at vertical, longitudinal horizontal direction pump analyzed, anti-shock behavior checked too.The results show this type pumps are destroyed wholly can be working normally environment, satisfy requirements GJB.But bracket position suffered great compressive...