A5102849540- Topic Modeling
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Natural Language Processing Techniques
- Bioactive Compounds in Plants
- Cancer-related gene regulation
- Electromagnetic Scattering and Analysis
- Gastric Cancer Management and Outcomes
- Computational Drug Discovery Methods
- AI in cancer detection
- Chronic Disease Management Strategies
- Sirtuins and Resveratrol in Medicine
- Pediatric health and respiratory diseases
- Mosquito-borne diseases and control
- Diverticular Disease and Complications
- EEG and Brain-Computer Interfaces
- Ferroptosis and cancer prognosis
- Time Series Analysis and Forecasting
- Non-Invasive Vital Sign Monitoring
- Network Traffic and Congestion Control
- Text Readability and Simplification
- Exercise and Physiological Responses
- Artificial Intelligence in Law
- Lung Cancer Diagnosis and Treatment
- Phytochemicals and Antioxidant Activities
- Appendicitis Diagnosis and Management
First Hospital of China Medical University
2023-2024
China Medical University
2021-2024
Newcastle University
2023
Dalian Medical University
2023
Central Hospital Affiliated to Shenyang Medical College
2023
Hubei University
2022
Nanjing Institute of Railway Technology
2020-2022
Yunnan Institute of Parasitic Diseases
2013
City University of Hong Kong
2008
Abstract Background Skeletal muscle dysfunction is an important co‐morbidity in patients with chronic obstructive pulmonary disease (COPD) and significantly associated increased mortality. Oxidative stress has been demonstrated trigger for COPD‐related skeletal dysfunction. Glycine‐histidine‐lysine (GHK) active tripeptide, which a normal component of human plasma, saliva, urine; promotes tissue regeneration; acts as anti‐inflammatory antioxidant properties. The purpose this study was to...
Purpose: Although cigarette smoke exposure is the major risk factor for chronic obstructive pulmonary disease (COPD), mechanism not completely understood. The aim of present study was to investigate whether ACSL4-mediated ferroptosis in lung epithelial cells plays a part COPD development process and its association. Patients Methods: In this study, animal cell models were modelled using extracts (CSEs), viability, lipid ROS, iron ion deposition, ferroptosis-related markers measured tissue...
Abstract A preconditioning iterative algorithm is proposed for solving electromagnetic scattering from an open cavity embedded in infinite ground plane. In this algorithm, a physical model with vertically layered medium employed as preconditioner of the general media. fast developed ( SIAM J. Sci. Comput. 2005; 27 :553–574) applied media and classical Krylov subspace methods, restarted GMRES, COCG, BiCGstab are preconditioned system. Our numerical experiments on models large numbers mesh...
Precipitation formation commonly occurs in the ageing step of fermented citrus vinegar. Hitherto, chemical characteristics and biological properties precipitates remain unveiled. This study focused on investigating profile, mechanism repurposing precipitates. Nine principal components, two flavonoid glycosides their aglycones along with five polymethoxyflavones (PMFs), were identified from a methanol extract Using hydrolysis models, we demonstrated that insoluble generated through breakage...
Named Entity Recognition (NER) is a subtask of Natural Language Processing (NLP) that involves identifying and categorizing named entities. The result annotation makes unstructured natural texts applicable for other NLP tasks, including information retrieval, question answering, machine translation. NER also essential in legal as an initial stage extracting relevant However, contain domain-specific entities, such applicants, defendants, courts, statutes, articles. latter standard entity...
Human sleep must be carefully monitored due to its impact on health. Typically, time series data for monitoring is multimodal, simultaneous, and continuous. Pre-training models based self-supervised learning can identify internal patterns without requiring external labelling. In this paper, we propose temporal neighbourhood-based pre-training multi-modality signals, including EEG, EOG, Heart Rate Variability (HRV). Two neighbourhood formation approaches are 1) the stationarity or...
The traditional software development method is difficult to support the early verification of requests, so it easy cause out control projects.Among them, idea reusing combination object-oriented technology and software, as design domain name in engineering, suggestion method.On this basis, existing models are compared analyzed, objectoriented reuse waterfall model proposed, several problems process application system based on discussed.This mode can effectively shorten cycle reduce burden developers.
The framework is a semi-finished product of reusable application software in specific field. Developers can build systems through customization. A good greatly reduce the development cost system. From perspective framework, this paper applies improved stochastic gradient learning algorithm to framework. article first designed two model structures convolutional neural network and multi-layer feedforward analyze based on this, hoping promote improvement quality efficiency by 6.8%.
A smart large unit teaching based on massive open online courses (MOOCs) is constructed through the full use of functions MOOCs and teaching.It integrates concept units into MOOC learning, pre-class testing, classroom discussion tasks, to help students understand apply law weak electrolytes balance in aqueous solutions.The results learning evaluation prove that this kind large-unit can improve efficiency students' willingness learn, core literacy.