A5085539729- Atmospheric chemistry and aerosols
- Air Quality and Health Impacts
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Neurobiology of Language and Bilingualism
- EEG and Brain-Computer Interfaces
- Inflammatory Biomarkers in Disease Prognosis
- Machine Learning in Healthcare
- COVID-19 Clinical Research Studies
- Hematopoietic Stem Cell Transplantation
- Air Quality Monitoring and Forecasting
- Natural Language Processing Techniques
- Hormonal Regulation and Hypertension
- Dental Radiography and Imaging
- Speech and dialogue systems
- Topic Modeling
- Computational Drug Discovery Methods
- AI in cancer detection
- Renal cell carcinoma treatment
- Microbial Community Ecology and Physiology
- Dementia and Cognitive Impairment Research
- Neuroscience and Neural Engineering
- Plant and animal studies
- Advanced Causal Inference Techniques
- Data Quality and Management
Beijing Normal University
2014-2025
Max Planck Institute for Human Cognitive and Brain Sciences
2023-2025
Institute of Automation
2025
Chinese Academy of Sciences
2022-2025
East China Normal University
2024
University of Electronic Science and Technology of China
2022-2024
First Affiliated Hospital of Nanchang University
2022-2024
Nanchang University
2022-2024
China Agricultural University
2022-2024
Southwest Jiaotong University
2021-2024
Two-phase systems developed with hydrophilic deep eutectic solvents (DESs) and hydrophobic DESs were prepared in this study for the first time.
Floods often take place around rivers and plains, which indicates a higher risk of flooding in these areas. This paper adopts fuzzy comprehensive assessment (FCA), simple classification (SFC), the similarity method (FSM) to assess flood disaster Kelantan, Malaysia. Validation data, such as flooded area, paddy urban residential refuges, were overlaid validate analyze accuracy risk. The results show that (1) 70–75% areas lie within highest zones, shows an effective accuracy; (2) paddy,...
Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Chen, Alexander Fabbri, Zifan Luyao Yuwen Shreya Dixit, Vincent Caiming Xiong, Richard Socher, Walter Lasecki, Dragomir Radev. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint (EMNLP-IJCNLP). 2019.
Hierarchical syntactic structure processing is proposed to be at the core of human language faculty. Syntactic supported by left fronto-temporal network, including a area in inferior frontal gyrus as well its interaction with posterior temporal lobe (i.e., "IFG + pTL"). Moreover, during complex processes, IFG also interacts executive control regions, such superior parietal lobule (SPL). However, functional relevance these network interactions largely unclear. In particular, it remains...
Background: The evolutionary origin and historical demography of extant Arcto-Tertiary forest species in East Asia is still poorly understood.Here, we reconstructed the population demographic history t wo Euptelea China (E.pleiosperma) Japan (E. polyandra).Chloroplast/nuclear DNA sequences microsatellite loci were obtained from 36 populations to explore molecular structure diversity relation past present distributions based on ecological niche modelling (ENM).Time-calibrated phylogenetic/...
Abstract Since the 2019 novel coronavirus disease (COVID-19) outbreak in and pandemic continues for more than one year, a vast amount of drug research has been conducted few them got FDA approval. Our objective is to prioritize repurposable drugs using pipeline that systematically integrates interaction between COVID-19 drugs, deep graph neural networks, vitro/population-based validations. We first collected all available (n = 3635) related patient treatment through CTDbase. built knowledge...
Accumulating evidence suggests that adult vaccinations can reduce the risk of developing Alzheimer's disease (AD) and related dementias.To compare for AD between adults with without prior vaccination against tetanus diphtheria, or pertussis (Tdap/Td); herpes zoster (HZ); pneumococcus.A retrospective cohort study was performed using Optum's de-identified Clinformatics® Data Mart Database. Included patients were free dementia during a 2-year look-back period were≥65 years old by start 8-year...
Abstract Background This study aimed to investigate the relationship between serum testosterone levels and risk of congestive heart failure (CHF) in adult males. Previous research has suggested a potential link cardiovascular health, but findings have been inconclusive. Methods was cross-sectional, data were obtained from 2011–2016 cycle National Health Nutrition Examination Survey (NHANES), which included sample 6,841 male participants. Serum measured using standardized assay, CHF status...
The Visceral Adiposity Index (VAI) is a straightforward and gender-specific marker that combines anthropometric measurements with lipid profiles. objective of this study was to evaluate the relationship between VAI coronary heart disease (CHD).
Recently somatic mutations of KCNJ5, ATP1A1, ATP2B3, and CACNA1D have been identified in patients with aldosterone-producing adenoma (APA). The present study sequenced the DNA tissues blood samples from Chinese APA for gene mutations.Among 114 patients, 86 (75.4%) were KCNJ5 mutations, including 3 previously reported (G151R, L168R, T158A) 2 other unreported mutations. One patient presented both a point mutation (E147) an insertion mutation, whereas another had 36-base duplication,...
Identification of the underlying pathogens infective endocarditis (IE) is critical for precision therapy.We evaluated a metagenomic method with next-generation sequencing (NGS) direct detection from resected valves 44 IE patients and seven rejected according to modified Duke criteria.NGS displayed sensitivity, specificity, positive predictive values negative 97.6%, 85.7%, 85.7% compared 46.2%, 100%, 12.5% blood culture 17.1%, 17.1% valve 51.4%, 26.1% Gram staining, respectively.NGS technique...
Abstract Background The aim of this study was to develop artificial intelligence (AI) guided framework recognize tooth numbers in panoramic and intraoral radiographs (periapical bitewing) without prior domain knowledge arrange the into a full mouth series (FMS) arrangement template. This model can be integrated with different diseases diagnosis models, such as periodontitis or caries, facilitate clinical examinations diagnoses. Methods utilized image segmentation models generate masks bone...