A5103134216- Epilepsy research and treatment
- Metallurgy and Material Forming
- IoT and Edge/Fog Computing
- Microstructure and Mechanical Properties of Steels
- Advanced MRI Techniques and Applications
- Functional Brain Connectivity Studies
- Metal Forming Simulation Techniques
- Natural Language Processing Techniques
- Neuroscience and Neuropharmacology Research
- Digital Transformation in Industry
- Metal Alloys Wear and Properties
- EEG and Brain-Computer Interfaces
- Medical Imaging Techniques and Applications
- Molecular Communication and Nanonetworks
- Modular Robots and Swarm Intelligence
- Persona Design and Applications
- High-Temperature Coating Behaviors
- Age of Information Optimization
- High Temperature Alloys and Creep
- Civil and Geotechnical Engineering Research
- Gout, Hyperuricemia, Uric Acid
- Congenital Heart Disease Studies
- Multi-Agent Systems and Negotiation
- Context-Aware Activity Recognition Systems
- Radiomics and Machine Learning in Medical Imaging
Anhui Medical University
2024-2025
Shanghai Jiao Tong University
2023-2025
Huashan Hospital
2025
Fudan University
2025
Nanjing University of Science and Technology
2025
China Mobile (China)
2024
Beijing University of Posts and Telecommunications
2023-2024
Tianjin University of Traditional Chinese Medicine
2023-2024
Second Affiliated Hospital of Zhejiang University
2024
Ruijin Hospital
2024
Effective evaluation of multi-hop tool use is critical for analyzing the understanding, reasoning, and function-calling capabilities large language models (LLMs). However, progress has been hindered by a lack reliable datasets. To address this, we present ToolHop, dataset comprising 995 user queries 3,912 associated tools, specifically designed rigorous use. ToolHop ensures diverse queries, meaningful interdependencies, locally executable detailed feedback, verifiable answers through novel...
<h3>ABSTRACT</h3> <h3>BACKGROUND AND PURPOSE:</h3> Epilepsy, a globally prevalent neurological disorder, necessitates precise identification of the epileptogenic zone (EZ) for effective surgical management. While individual utilities FDG PET and FMZ have been demonstrated, their combined efficacy in localizing remains underexplored. We aim to improve non-invasive prediction temporal lobe epilepsy (TLE) by combining with statistical feature extraction machine learning. <h3>MATERIALS...
Role-playing language agents (RPLAs) have emerged as promising applications of large models (LLMs). However, simulating established characters presents a challenging task for RPLAs, due to the lack authentic character datasets and nuanced evaluation methods using such data. In this paper, we present CoSER, collection high-quality dataset, open models, an protocol towards effective RPLAs characters. The CoSER dataset covers 17,966 from 771 renowned books. It provides dialogues with real-world...
To advance personalized applications such as recommendation systems and user behavior prediction, recent research increasingly adopts large language models (LLMs) for human -readable persona modeling. In dynamic real -world scenarios, effective modeling necessitates leveraging streaming data to continually optimize personas. However, existing methods -whether regenerating personas or incrementally extending them with new behaviors -often fail achieve sustained improvements in quality future...
The combination of anlotinib with immune checkpoint inhibitors (ICIs) has become a common treatment modality in clinical practice. However, the optimal dose to use remains unclear. We collected patients advanced non-small cell lung cancer (NSCLC) who received programmed death-1 blockade combined different as second-line or later line therapy. Subsequently, efficacy and safety therapy well subgroup analyses doses were analyzed. Cox regression was performed analyze significant factors...
This study reports the first discovery of bivalves (family Alatoconchidae) from Middle Permian Maokou Formation in Jingmen City, Hubei Province, South China. These newly identified fossil localities bridge a significant geographic gap alatoconchid distribution, providing new insights into their paleobiogeography and paleoecology. Their frequent occurrence warm, shallow-marine environments supports view that China provided an ideal ecological setting for these organisms during Guadalupian....
Recent advancements in large language models (LLMs) have significantly boosted the rise of Role-Playing Language Agents (RPLAs), i.e., specialized AI systems designed to simulate assigned personas. By harnessing multiple advanced abilities LLMs, including in-context learning, instruction following, and social intelligence, RPLAs achieve a remarkable sense human likeness vivid role-playing performance. can mimic wide range personas, ranging from historical figures fictional characters...
As an emerging metric of communication systems, Age Information (AoI) has been derived to have a critical impact in networked control systems with unreliable information links. This work sets up novel model outage probability loosely constrained system as function the feedback AoI, and conducts numerical simulations validate model.
As a complement to conventional AI solutions, emergent intelligence (EI) exhibits competitiveness in 6G IIoT scenario for its various outstanding features including robustness, protection privacy, and scalability. However, despite the low computational complexity, EI is challenged by high demand of data traffic massive deployment. We propose leverage twinning, which envisaged support, reduce therewith enhance performance.
A new process has been developed for inclusion removal. This involves the creation and dispersion of fine bubbles in molten steel by calcium carbonate powder injection through nozzles up-snorkel RH (Ruhstahl Hausen Process) degasser. The plant trials have carried out ANSTEEL ruling factors analysed. results indicate that this novel technique is beneficial to separate small non-metallic removal from steel. Compared with conventional technology, number oxide inclusions can be decreased a lower...
In this paper, we propose the Two-way Deep Reinforcement Learning (DRL)-Based resource allocation algorithm, which solves problem of in cognitive downlink network based on underlay mode. Secondary users (SUs) are multiplexed by a new Power Domain Sparse Code Multiple Access (PD-SCMA) scheme, and physical resources base station virtualized into two types slices: enhanced mobile broadband (eMBB) slice ultrareliable low latency communication (URLLC) slice. We design Double Q Network (DDQN)...
(MSU) crystals usually in the kidney tubules especially collecting ducts medulla. Previous animal models have not fully reproduced impact of MSU on kidneys under non-hyperuricemic conditions.