- Topic Modeling
- Natural Language Processing Techniques
- Acoustic Wave Phenomena Research
- High-Voltage Power Transmission Systems
- Smart Grid and Power Systems
- Health Systems, Economic Evaluations, Quality of Life
- Flow Measurement and Analysis
- Microplastics and Plastic Pollution
- Pharmaceutical Economics and Policy
- Ultrasonics and Acoustic Wave Propagation
- Power Systems and Technologies
- Genomics and Phylogenetic Studies
- Advanced Algorithms and Applications
- Recycling and Waste Management Techniques
- Healthcare Systems and Reforms
- Speech and dialogue systems
- Museums and Cultural Heritage
- Renal Diseases and Glomerulopathies
- Evaluation Methods in Various Fields
- Evaluation and Optimization Models
- Advanced Computational Techniques and Applications
- Bioinformatics and Genomic Networks
- Systemic Sclerosis and Related Diseases
- Advanced Decision-Making Techniques
- Web and Library Services
Anhui University of Traditional Chinese Medicine
2024-2025
China Electric Power Research Institute
2021-2025
North China Electric Power University
2025
State Grid Corporation of China (China)
2018-2025
Ping An (China)
2021-2024
Dalian Medical University
2022-2024
Kyushu University
2024
China Aerospace Science and Industry Corporation (China)
2024
Beijing Information Science & Technology University
2013-2023
Toyo University
2022
Xiaonan Li, Kai Lv, Hang Yan, Tianyang Lin, Wei Zhu, Yuan Ni, Guotong Xie, Xiaoling Wang, Xipeng Qiu. Proceedings of the 61st Annual Meeting Association for Computational Linguistics (Volume 1: Long Papers). 2023.
Although microplastic (size ≤5 mm) pollution in marine ecosystems has received global attention, the presence of microplastics and microfibers indoor environments is also a major concern. Compared to available field survey data on ocean, such information remains limited for environments. Microplastics may act as adsorbents chemical compounds, which result multiple adverse health effects residents. Establishment reproducible sampling analysis methods aiding comprehensive measurements Japan...
Purpose To develop an artificial intelligence algorithm to automatically identify the anterior segment structures and assess multiple parameters of primary angle closure disease (PACD) in ultrasound biomicroscopy (UBM) images. Design Development validation for UBM Methods: 2339 images from 592 subjects were collected development. A multitissue segmentation model based on deep learning was developed automatic identification segments localisation scleral spur. Then, measurement typical...
The key to solve the problem of low frequency noise in substation is accurately grasp spectrum contribution without weight main sources and plant boundary. Taking 220kV as an example, measurement equipment boundary station was carried out, A-weight sound pressure level at each measuring point data domain were recorded. It calculated that low-frequency line 100Hz-500Hz for transformer accounted 21.9% total energy 100Hz-20000Hz. 100Hz accounts 31.8% 100HZ-500Hz, analysis shows a relatively...
Tianxiang Sun, Xiangyang Liu, Wei Zhu, Zhichao Geng, Lingling Wu, Yilong He, Yuan Ni, Guotong Xie, Xuanjing Huang, Xipeng Qiu. Findings of the Association for Computational Linguistics: ACL 2022.
Artificial Intelligence (AI), along with the recent progress in biomedical language understanding, is gradually changing medical practice. With development of understanding benchmarks, AI applications are widely used field. However, most benchmarks limited to English, which makes it challenging replicate many successes English for other languages. To facilitate research this direction, we collect real-world data and present first Chinese Biomedical Language Understanding Evaluation (CBLUE)...
Reinforcement learning from human feedback (RLHF) has become a pivot technique in aligning large language models (LLMs) with preferences. In RLHF practice, preference data plays crucial role bridging proclivity and LLMs. However, the scarcity of diverse, naturalistic datasets preferences on LLM outputs at scale poses great challenge to as well research within open-source community. Current datasets, either proprietary or limited size prompt variety, result adoption hinder further...
Kindlin-3, a protein 4.1, ezrin, radixin, and moesin (FERM) domain-containing adaptor in hematopoietic cells, is essentially required for supporting the bidirectional integrin αIIbβ3 signaling platelets by binding to β3 cytoplasmic tail. However, structural details of kindlin-3's FERM domain remain unknown. In this study, we crystalized successfully solved its 3-dimensional structure. The structure shows that 3 subdomains (F1, F2, F3) compact together form cloverleaf-shaped conformation,...
Background The analytical renal pathology system (ARPS) based on convolutional neural networks has been used successfully in native IgA nephropathy (IgAN) patients. Considering the similarity of pathologic features, we aim to evaluate performance ARPS allograft IgAN patients and broaden its implementation.
Abstract Background The National Drug Price Negotiation (NDPN) policy has entered a normalisation stage, aiming to alleviate, some extent, the disease-related and economic burdens experienced by cancer patients. This study analysed use subsequent burden of anticancer medicines among patients in first-tier city northeast China. Methods We assessed usage 64 negotiated using data on actual drug deployment situation, frequency medical insurance claims medication costs. affordability these was...
Abstract Objective The accessibility issue of orphan drugs in China is prominent. Based on real-world data from a tier-one city Northeast China, this study aims to analyze the current usage and affordability for rare diseases. Methods was sourced health insurance claims certain 2018 2021, including total 16 drugs. utilization assessed using four indicators: frequency medical claims, medication cost, defined daily doses (DDDs), drug cost (DDDc). Affordability measured concept catastrophic...
Abstract Under rapid urbanization and agglomeration of population, cities are facing various environmental challenges. As urban forests play a crucial role in mitigating native problems providing ecosystem services, might enhance their forest construction through multiple approaches, which the introduction exotic tree species could be an effective way. background constructing high-quality city, Guangzhou was considering introducing series to improve local greening, among Tilia cordata Mill....
Dementia is more prevalent in women than men across the world, and sex differences are reflected burden of dementia borne by men. However, a few studies have specifically analyzed disease Chinese women.This article aims to raise awareness females with (CFWD), outline an effective response future trends China from female perspective, provide reference for scientific formulation prevention treatment policies China.In this article, epidemiological data on were obtained Global Burden Disease...
We study an auto-calibration problem in which a transform-sparse signal is compressive-sensed by multiple sensors parallel with unknown sensing parameters. The has important application pMRI reconstruction, where explicit coil calibrations are often difficult and costly to achieve practice, but nevertheless fundamental requirement for high-precision reconstructions. Most auto-calibrated strategies result reconstruction that corresponds solving challenging biconvex optimization problem....
As to the problem of inaccurate in traditional grade method beef marbling, a automatic grading system based on computer vision had been founded and was used predict quality Chinese yellow cattle. Image processing automatically evaluate marbling grade. Segmentation methods rib-eye image carcass improved watershed algorithm. All indicators were obtained by automatically. Four indicators, which characterize size, number distribution particles, proposed for inputs neural network prediction...
Phrase mining is a fundamental task for text analysis and has various downstream applications such as named entity recognition, topic modeling, relation extraction. In this paper, we focus on high-quality phrases from domain-specific corpora with special consideration of infrequent ones. Previous methods might miss in the candidate selection stage. And these rely explicit features to mine while rarely considering implicit features. addition, completeness explicitly considered evaluation...
Identification of exact causative genes is important for in silico drug repositioning based on drug-gene-disease relationships. However, the complex polygenic etiology autism spectrum disorder (ASD) a challenge identification etiological genes. The network-based core gene method can effectively use interactions between and accurately identify pathogenic ASD. We developed novel framework that contains three steps: network-specific (NCG) identification, potential therapeutic repositioning,...
This study summarizes the intrinsic criteria for recommendation of orphan drugs in England, Scotland, Canada, and Australia with aim understanding rationale variability decision-making to provide a reference establishment process access health insurance different countries construction national uniform criteria. A comparative analysis 60 technology assessment (HTA) guidelines 15 drug-indication pairs appraised by four (England, Australia) from 2017 2018 was done, including an in-depth case...
Objective To compare the burden of multiple sclerosis disease indicators in Asia-Pacific countries, China and globally through Global Burden Disease 2019 (GBD2019) Database, to analyse changes from 1990 2019. Study design Observational study based on Disease. Setting The relevant incidence, prevalence, death disability-adjusted life year (DALY) rates corresponding age-standardised (ASRs) sociodemographic index (SDI) China, countries were extracted GBD2019 Database further prevalence...