A5100650289- Safety Systems Engineering in Autonomy
- Software Reliability and Analysis Research
- Adversarial Robustness in Machine Learning
- Topic Modeling
- Smart Grid Energy Management
- Distributed Control Multi-Agent Systems
- Natural Language Processing Techniques
- Electric Vehicles and Infrastructure
- MicroRNA in disease regulation
- Microgrid Control and Optimization
- Intelligent Tutoring Systems and Adaptive Learning
- Cancer-related molecular mechanisms research
- Advanced Computational Techniques and Applications
- Risk and Safety Analysis
- Innovative Teaching and Learning Methods
- Energy Load and Power Forecasting
- Mitochondrial Function and Pathology
- Acute Ischemic Stroke Management
- Advanced Algorithms and Applications
- Circular RNAs in diseases
- Traffic Prediction and Management Techniques
- Software Testing and Debugging Techniques
- Software Engineering Research
- Genetic Neurodegenerative Diseases
- Grey System Theory Applications
Xinjiang University of Finance and Economics
2025
Army Medical University
2005-2024
Huzhou Vocational and Technical College
2024
University of Liverpool
2021-2024
Yunnan Institute of Endemic Diseases Control and Prevention
2024
Chinese Academy of Sciences
2024
University of Chinese Academy of Sciences
2024
Chengde Medical University
2024
University of Southampton
2024
Huashan Hospital
2024
Tirofiban is a highly selective nonpeptide antagonist of glycoprotein IIb/IIIa receptor, which reversibly inhibits platelet aggregation. It remains uncertain whether intravenous tirofiban effective to improve functional outcomes for patients with large vessel occlusion ischemic stroke undergoing endovascular thrombectomy.To assess the efficacy and adverse events before thrombectomy acute secondary occlusion.This investigator-initiated, randomized, double-blind, placebo-controlled trial was...
Abstract Large language models (LLMs) have exploded a new heatwave of AI for their ability to engage end-users in human-level conversations with detailed and articulate answers across many knowledge domains. In response fast adoption industrial applications, this survey concerns safety trustworthiness. First, we review known vulnerabilities limitations the LLMs, categorising them into inherent issues, attacks, unintended bugs. Then, consider if how Verification Validation (V&V)...
Abstract Increasing evidences have proved that circRNA plays a significant role in the development of many diseases. In addition, researches shown can be considered as potential biomarker for clinical diagnosis and treatment disease. Some computational methods been proposed to predict circRNA-disease associations. However, performance these is limited sparsity low-order interaction information. this paper, we propose new method (KGANCDA) associations based on knowledge graph attention...
Deep Reinforcement Learning (DRL) has achieved impressive performance in robotics and autonomous systems (RAS). A key challenge to its deployment real-life operations is the presence of spuriously unsafe DRL policies. Unexplored states may lead agent make wrong decisions that could result hazards, especially applications where DRL-trained end-to-end controllers govern behaviour RAS. This letter proposes a novel quantitative reliability assessment framework for DRL-controlled RAS, leveraging...
The optimization of crop harvesting processes for commonly cultivated crops is great importance in the aim agricultural industrialization. Nowadays, utilization machine vision has enabled automated identification crops, leading to enhancement efficiency, but challenges still exist. This study presents a new framework that combines two separate architectures Convolutional Neural Networks (CNNs) order simultaneously accomplish tasks detection and (robotic manipulation) inside simulated...
A system-level consensus-based deloading operation is proposed for DFIG-based wind farm (WF) participating in system active power regulation. Rotor overspeeding control (ROC) and pitch angle (PAC) are coordinated load sharing among each turbine (WT). For ROC, a novel fully-distributed consensus protocol developed fair without the need to know total capacity. Considering influences of turbines' individual differences rotor speed limit, amount WTs involved dynamically adjusted according their...
We investigated mechanisms of pancreatic cancer metastasis and defined the biological role miR-29c in metastasis. After two rounds cell selection vivo, cells with various metastatic potentials derived from spontaneous liver metastases were used as a model to determine Pancreatic samples analyzed for miRNA-29c expression, these levels associated survival between groups. suppresses migration invasion by targeting MMP2 3′UTR. Overexpression nude mouse orthotopic implantation model. expression...
The analytic hierarchy process (AHP) is an important method to solve the multi-objective decision-making weight problem. However, due subjective judgement and selection preference of decision-makers, consistency matrix inevitably poor. Hence, improve reliability results, it necessary adjust matrix. We propose a genetic algorithm optimised Hadamard product (GAOHP) judge This converts original adjustment problem into optimisation solution uses meta-heuristic search global quickly. Our method,...
High-resolution and accurate Digital Elevation Model (DEM) generation from satellite imagery is a challenging problem. In this work, stereo 3-D reconstruction framework outlined that applicable to nonstereoscopic image pairs may be captured by different satellites. The orthographic height maps given are compared multiview approach based on Probabilistic Volumetric Representation (PVR). Height map qualities measured in comparison manually prepared ground-truth three sites parts of the world...
Accumulating evidences demonstrate that circular RNA (circRNA) plays an important role in human diseases. Identification of circRNA-disease associations can help for the diagnosis diseases, while traditional method based on biological experiments is time-consuming. In order to address limitation, a series computational methods have been proposed recent years. However, few works summarized these or compared performance them. this paper, we divided existing into three categories: information...
Large Language Models (LLMs) have exploded a new heatwave of AI for their ability to engage end-users in human-level conversations with detailed and articulate answers across many knowledge domains. In response fast adoption industrial applications, this survey concerns safety trustworthiness. First, we review known vulnerabilities limitations the LLMs, categorising them into inherent issues, attacks, unintended bugs. Then, consider if how Verification Validation (V&V) techniques, which been...
BackgroundEndovascular therapy (EVT) was demonstrated effective in acute large vessel occlusion (LVO) with infarction. Revealing subgroups of patients who would or not benefit from EVT will further inform patient selection for EVT.MethodsThis post-hoc analysis the ANGEL-ASPECT trial, a randomised controlled trial 456 adult anterior-circulation LVO and infarction, defined by ASPECTS 3–5 infarct core volume 70–100 mL, enrolled 46 centres across China, between October 2, 2020 May 18, 2022....
Anomaly analysis in surveillance videos is a crucial topic computer vision. In recent years, multimodal large language models (MLLMs) have outperformed task-specific various domains. Although MLLMs are particularly versatile, their abilities to understand anomalous concepts and details insufficiently studied because of the outdated benchmarks this field not providing MLLM-style QAs efficient algorithms assess model's open-ended text responses. To fill gap, we propose benchmark for crime...
Based on multi-source data, the spatio-temporal distribution characteristics, evolution trends, and driving factors of sports venues in Xi'an City were systematically explored this work. Utilizing Kernel Density Estimation (KDE) method, density 2010, 2015, 2020 was scientifically calculated. Furthermore, Multi-Scale Geographically Weighted Regression (MGWR) model employed to analyse influencing regional venues. Our analysis demonstrated that number has progressively increased, exhibiting a...
Importance Previous studies revealed limited effectiveness of neuroprotective agents in treating acute ischemic stroke (AIS). Tongxinluo, developed from traditional Chinese medicines, has been recognized as a novel agent with anti-inflammatory properties that stabilize vulnerable plaques animal models and patients myocardial infarction. Objective To assess the efficacy safety Tongxinluo Design, Setting, Participants This multicenter, open-label, double-blind, randomized clinical trial...
Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
Abstract Background Previously, many methods have been used to predict the incidence trends of infectious diseases. There are numerous for predicting diseases, and they exhibited varying degrees success. However, there a lack prediction benchmarks that integrate linear nonlinear effectively use internet data. The aim this paper is develop model rate diseases integrates multiple multisource data, realizing ground-breaking research. Results disease dataset from an official release includes...
Wuhan, China In the context of intensifying human-water interactions under rapid urbanization, community perception has been demonstrated to significantly influence coevolution trajectories system. This study employed a system dynamics (SD) model simulate processes at an urban scale. We incorporated sensitivity variable as one state variables within SD investigate how perceptions human decision-making and subsequently, Using megacity, case study, we simulated from 2001 2020 predicted...
Ferroptosis is a new way of cell death, and stimulating the process ferroptosis strategy to treat breast cancer. NGR1 has good anti-cancer activity able slow progression However, not been reported in field related ferroptosis. By searching online database for potential targets cancer disease database, among 11 intersecting genes we focused on Runt-related transcription factor 2 (RUNX2), which highly expressed cancer, KEGG pathway enrichment showed that were mainly enriched AGE (advanced...
The increasing use of Machine Learning (ML) components embedded in autonomous systems -- so-called Learning-Enabled Systems (LESs) has resulted the pressing need to assure their functional safety. As for traditional safety, emerging consensus within both, industry and academia, is assurance cases this purpose. Typically support claims reliability can be viewed as a structured way organising arguments evidence generated from safety analysis modelling activities. While such activities are...