- Distributed and Parallel Computing Systems
- Higher Education and Teaching Methods
- Scientific Computing and Data Management
- Topic Modeling
- Ideological and Political Education
- Natural Language Processing Techniques
- Educational Technology and Pedagogy
- Advanced Computational Techniques and Applications
- Educational Reforms and Innovations
- Innovative Educational Techniques
- Video Analysis and Summarization
- Cloud Computing and Resource Management
- Remote Sensing in Agriculture
- Educational Technology and Assessment
- Text and Document Classification Technologies
- Digital Media and Visual Art
- Remote Sensing and Land Use
- Advanced Vision and Imaging
- Migraine and Headache Studies
- Advanced Optical Sensing Technologies
- Artificial Intelligence in Law
- Data Quality and Management
- Human Pose and Action Recognition
- E-commerce and Technology Innovations
- Medical Image Segmentation Techniques
Hong Kong Baptist University
2022-2025
First Affiliated Hospital of Jiangxi Medical College
2025
Nanchang University
2025
Guangdong Medical College
2022-2024
Guangxi Normal University
2024
Tea Research Institute
2024
Chinese Academy of Agricultural Sciences
2024
Minzu University of China
2024
Southwest University
2006-2023
Dhurakij Pundit University
2023
Türkiye'de Bilimsel Muhakeme Konusunda Gerçekleştirilen Tezlerin Analizi: Bir Meta-Sentez ÇalışmasıAnalysis of Theses on Scientific Reasoning in Turkey: A Meta-Synthesis Study,
Named entity recognition (NER) models are typically based on the architecture of Bi-directional LSTM (BiLSTM). The constraints sequential nature and modeling single input prevent full utilization global information from larger scope, not only in entire sentence, but also document (dataset). In this paper, we address these two deficiencies propose a model augmented with hierarchical contextualized representation: sentence-level representation document-level representation. sentence-level,...
In this paper, we propose a novel bipartite flat-graph network (BiFlaG) for nested named entity recognition (NER), which contains two subgraph modules: flat NER module outermost entities and graph all the located in inner layers. Bidirectional LSTM (BiLSTM) convolutional (GCN) are adopted to jointly learn their dependencies. Different from previous models, only consider unidirectional delivery of information innermost layers outer ones (or outside-to-inside), our model effectively captures...
Nurse research readiness determines outcomes. Understanding of nurse knowledge, attitude, and behaviors on preparation can better prepare them for medical search. To develop a self-evaluation scale test its validity reliability. This cross-sectional study was performed between January October, 2023. Based the knowledge-attitude-practice model, we first created draft version via literature review semi-structured interviews with registered nurses. After Delphi expert consultation pilot survey,...
The rapid spread of health misinformation on social media poses significant challenges to public crisis. Mpox has portrayed it as exclusively a sexually transmitted infection, resulting in misperceptions about infection risk and stigmatization affected groups. This study aimed evaluate the effectiveness different correction approaches message framing reducing misperception shaping disease-related attitudes, both immediately after exposure 1-day delay. We employed 2 × design with control...
We report the results of our study connections between students’ learning physics content knowledge and development general scientific reasoning abilities. In particular, we seek to determine whether what extent affects Pre-college-instruction data first-year college students in United States China were collected using FCI, BEMA, Lawson’s classroom test reasoning. find that rigorous middle high schools has made a significant impact on ability solve problems, but this does not seem have...
Deep neural network models have helped named entity recognition achieve amazing performance without handcrafting features. However, existing systems require large amounts of human annotated training data. Efforts been made to replace annotations with external knowledge (e.g., NE dictionary, part-of-speech tags), while it is another challenge obtain such effective resources. In this work, we propose a fully unsupervised model which only needs take informative clues from pre-trained word...
To observe the therapeutic effects of electro-acupuncture (EA) combined with psychological intervention on symptom somzatization or obsession and mental depression anxiety P50 Auditory Evoked Potential (AEP) internet addiction disorder (IAD). One hundred twenty cases IAD were randomly divided into an EA group, a psycho-intervention (PI) group comprehensive therapy (EA plus PI) group. Patients in treated EA. PI cognition behavior therapy. intervention. Scores IAD, scores checklist 90...
The combination of frequency-modulated continuous wave (FMCW) technology and synthetic aperture radar (SAR) leads to lightweight, cost-effective, low-power dissipation imaging sensors high resolution. For extracting the features vibrating targets on ground in FMCW SAR, displaced phase center antenna technique is introduced into SAR system suppress clutter, then, signal characteristic analyzed. It indicates that energy joint time-frequency distribution presented as an uneven induced by a slow...
To describe social problem solving in Chinese baccalaureate nursing students.A descriptive cross-sectional study was conducted with a cluster sample of 681 students. The version the Social Problem-Solving scale used. Descriptive analyses, independent t-test and one-way analysis variance were applied to analyze data.The final year students presented highest scores positive problem-solving skills. Students experiences self-directed problem-based learning significantly higher Positive Problem...
We modified the Just-in-Time Teaching approach and developed a dual safeguard web-based interactive (DGWI) teaching system for an introductory physics course. The consists of four instructional components that improve student learning by including warm-up assignments online homework. Student instructor activities involve both in classroom on designated web site. An experimental study with control groups evaluated effectiveness DGWI method. results indicate method is effective way to...
Purpose Whilst professional learning communities (PLCs) have been widely explored at the school level, they received less attention departmental level. The study takes variance between departments and role of teacher leaders into consideration, relationships amongst departmental-level PLC dimensions, two types leadership (TL) individual self-efficacy are investigated. Design/methodology/approach sample consisted 907 teachers from 81 in Chinese schools. associations studied variables were...
Islet transplantation has been clinically proven to be effective at treating type 1 diabetes. However, the current intrahepatic strategy may incur acute whole blood reactions and result in poor islet engraftment. Here, we report a robust protocol for of islets extrahepatic site-the epididymal fat pad (EFP)-in diabetic mouse model. A isolate purify high yields from C57BL/6J mice is described, as well method performed by seeding onto decellularized scaffold (DCS) implanting them EFP site...
Abstract Background Menstrual migraine is a particular form of with significant impact on the quality life for women afflicted. Presently, no study has reported in menstrual patients. This work aims to assess health-related and identify its associated factors among Chinese Methods The cross-sectional group consisted 109 patients migraine, control 397 female non-menstrual migraine. In total, 506 completed questionnaires demographic clinical information, Self-rating Idea Suicide Scale,...
Abstract Digital Earth is an important field of information technology and a research frontier geosciences in the 21st century. So far, Grid computing technique one best solutions for infrastructure. can only be realised through interaction people, heterogeneous resources, systems, instruments, all which are geographically organisationally dispersed. observation (EO) includes acquisition, processing applications. Information acquisition provides vast amount spatial data building fabric...