A5049482136- Topic Modeling
- Cardiac Imaging and Diagnostics
- Cardiovascular Function and Risk Factors
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Nutrition and Health in Aging
- Text and Document Classification Technologies
- Image Retrieval and Classification Techniques
- Information Retrieval and Search Behavior
- Advanced MRI Techniques and Applications
- HIV-related health complications and treatments
- Cardiomyopathy and Myosin Studies
- Body Composition Measurement Techniques
- COVID-19 diagnosis using AI
- Music and Audio Processing
- Web Data Mining and Analysis
- Data Visualization and Analytics
- Forecasting Techniques and Applications
- Long-Term Effects of COVID-19
- Pesticide and Herbicide Environmental Studies
- AI in cancer detection
- Occupational Health and Safety Research
- Video Analysis and Summarization
- Neurological and metabolic disorders
- COVID-19 Clinical Research Studies
Second Affiliated Hospital of Xi'an Jiaotong University
2021-2024
Renmin University of China
2022-2024
Zhejiang Gongshang University
2024
Taiyuan University of Technology
2024
Capital Medical University
2019-2022
Beijing Jishuitan Hospital
2019-2021
Peking University
2018-2021
Quantitative BioSciences
2020
Harvard University
2020
University of California, San Diego
1996
This paper identifies and analyzes salient research frontiers, hotspots high-frequency terms using aggregated multiple-source literature records related to the topic of 'effects agricultural chemical inputs on environment.' We employ a set Informetrics Theory methods (i.e. document co-citation analysis, clustering co-words analysis via co-occurrence network subject terms) for our analysis. Our findings suggest that in past 30 years, about this can be divided into three stages, namely early...
Objectives The measurement of visceral fat (VF) is clinically important for the identification individuals at high risk obesity-related health conditions. Bioelectrical impedance analysis (BIA) a widely available and frequently used body composition assessment method, but there have been few validation studies VF. This study investigated agreement between BIA CT VF in adults. Design Cross-sectional study. Setting Between 2015 2016 China. Participants A total 414 adults (119 men 295 women)...
Considering the lack of a unified framework for image description and deep cultural analysis at subject level in field Ancient Chinese Paintings (ACP), this study utilized Beijing Palace Museum's ACP collections to develop semantic model integrating iconological theory with new workflow term extraction mapping. Our findings underscore model's effectiveness. SDM can be used support further art-related knowledge organization exploration ACPs.
Objectives: To investigate the subclinical imaging changes in terms of myocardial inflammation and fibrosis to explore risk factors associated with by cardiac magnetic resonance (CMR) approach a Chinese HIV/AIDS cohort. Methods: We evaluated function (cine), (T1, T2), (through extracellular volume fraction [ECV] late gadolinium enhancement [LGE]) multiparametric CMR scan protocol total 68 participants, including 47 HIV-infected individuals, who were divided into two groups: asymptomatic HIV...
Purpose National collaboration is an important topic for the development of digital humanities (DH). However, patterns DH have not been well studied in terms stages and characteristics. This paper aims to reveal typical country-level global environment based on research capacity, network features influence indicators. Design/methodology/approach We systematically designed a pipeline procedure methods bibliometrics altmetrics analyze DH-related publications from two popular databases. The...
Purpose The majority of existing studies about named entity recognition (NER) concentrate on the prediction enhancement deep neural network (DNN)-based models themselves, but issues scarcity training corpus and difficulty annotation quality control are not fully solved, especially for Chinese ancient corpora. Therefore, designing a new integrated solution historical NER, including automatic extraction man-machine cooperative annotation, is quite valuable improving effectiveness NER fostering...
Named Entity Recognition (NER) systems have been largely advanced by deep neural networks in the recent decade. However, state-of-the-arts on NER less applied to Chinese historical texts due lack of standard corpora domains and difficulty accessing a quality ancient corpus. This paper addresses respective issues proposes an efficient automatic processing solution for tackling data, including implementation data-driven tagging innovative end-to-end network namely "MoGCN" (Mixture Gated...
Rest/stress myocardial CT perfusion (CTP) has high diagnostic value for coronary artery disease (CAD), but the additional of resting CTP especially dual-energy (DE-CTP) beyond angiography (CCTA) in chest pain triage remains unclear. We aimed to evaluate accuracy DE-CTP, and detecting CAD CCTA (obstructive stenosis: ≥ 50%) patients suspected CAD.In this prespecified subanalysis 54 patients, we included referred invasive (ICA). Diagnostic DE-CTP defects was assessed using 13N-ammonia positron...
Contrast-enhanced (CE) steady-state free precession (SSFP) CMR at 1.5T has been shown to be a valuable alternative T2-based methods for the detection and quantifications of area-at-risk (AAR) in acute myocardial infarction (AMI) patients. However, CE-SSFP's capacity assessment AAR 3T not investigated. We examined clinical utility CE-SSFP T2-STIR retrospective with single-photon-emission-computed tomography (SPECT) validation.
Rapid detection of pork quality has garnered increasing attention due to its status as one the most widely consumed meats in world. This study developed an electrochemical impedance combined with sensory evaluation method achieve real-time imaging and assessment pork. The optimal parameters for were determined through system performance tests a Design Experiment, which included use adjacent excitation pattern, current 15 mA at 10 kHz, detector diameter 5 cm, stainless-steel electrodes...
This study sought to noninvasively determine myocardial iron levels in HIV-1-infected patients using CMR and explore the association between T2* values mild left ventricular systolic dysfunction (LVSD).This prospective was conducted from June 2019 July 2021. adults healthy controls were consecutively enrolled for exam. exam included assessment of myocardium content (T2*), cardiac function (cine), inflammation (T2), fibrosis (through extracellular volume fraction [ECV] late gadolinium...
The clinical spectrum of COVID-19 pneumonia is varied. Thus, it important to identify risk factors at an early stage for predicting deterioration that require transferring the patients ICU. A retrospective multicenter study was conducted on admitted designated hospitals in China from Jan 17, 2020, Feb 2020. Clinical presentation, laboratory data, and quantitative CT parameters were also collected. result showed increasing risks ICU admission associated with age > 60 years (odds ratio...
Historical named entity recognition plays a very important role on the historical studies, especially for Chinese domain. This paper introduces novel Deep learning (DL)-based approach with rich subword information of characters, which shows powerful classical literatures. Our experiments manually constructed corpus CMAG indicates that our model can achieve best performance compared to other state-of-the-art approaches. The ablation studies categories morphological characters significantly...
Information technology boosts the development of database retrieval in Chinese digital humanities domain. However, most providers adopt a system-oriented design pattern, which fails to handle problem query gaps users’ process. This issue seriously hinders effective use functionalities, peculiarly among those historical and researchers. To address it, we propose UFTDRDH, novel user-oriented solution based on automatic formulation (AQF) technologies, integrates human–machine interactive module...
Textual knowledge extraction and visual analysis technology bring new technical methodology to traditional qualitative research in the historical domain. However, there is still some difficulty impeding semantic understanding presentation for texts. To address it, we propose a novel solution that integrates aggregation of different types textual units multiple pathways hybrid strategies-based display supporting smooth interactive functionalities with groups users. A visualization system also...
The As/P exchange behavior on a GaAs and an InxGa1−xAs surface exposed to P2 flux InyGa1−yP As2 has been studied by reflection high-energy electron diffraction (RHEED) in gas-source molecular beam epitaxy system. We found the exposure of results severe substitution As atoms P at normal growth temperature (520 °C), forming strained transition layer causing rough within 10 s, which is indicated spotty RHEED pattern. surfaces, however, remained relatively stable under flux. Two methods (a thin...
The novel corona-virus disease (COVID-19) pandemic has caused a major outbreak in more than 200 countries around the world, leading to severe impact on health and life of many people globally. Accurate rapid diagnosis COVID-19 suspected cases plays crucial role timely quarantine medical treatment. In this work, we present deep learning based framework for automatic segmentation pathologic associated tissue areas from clinical CT images available dataset with 108 China. More specifically, an...