A5100388218- Complex Network Analysis Techniques
- Innovation and Knowledge Management
- Traffic Prediction and Management Techniques
- Intellectual Property and Patents
- Big Data and Business Intelligence
- Bioinformatics and Genomic Networks
- Topic Modeling
- scientometrics and bibliometrics research
- Gene expression and cancer classification
- Biomedical Text Mining and Ontologies
- Computational Drug Discovery Methods
- Flame retardant materials and properties
- Advanced Text Analysis Techniques
- Economic and Technological Innovation
- Opinion Dynamics and Social Influence
- Data Quality and Management
- COVID-19 epidemiological studies
- Traffic control and management
- Innovation Diffusion and Forecasting
- Machine Learning in Materials Science
- Data Visualization and Analytics
- RNA Research and Splicing
- Synthesis and properties of polymers
- Textile materials and evaluations
- Innovation Policy and R&D
Tiangong University
2006-2025
Qinghai Normal University
2025
Shanghai Jiao Tong University
2010-2025
Shanghai Sixth People's Hospital
2025
Tsinghua University
2010-2024
University of Technology Sydney
2015-2024
Sun Yat-sen University
2005-2024
Shenyang University of Technology
2013-2024
Wuhan University of Technology
2021-2024
First Automotive Works (China)
2024
Silver nanowire (Ag NW) has been considered as the promising building block for fabrication of transparent electromagnetic interference (EMI) shielding films. However, practical application Ag NW-based EMI films restricted due to unsatisfactory stability NW. Herein, we proposed a reduced graphene oxide (rGO) decorated NW film, which realizes seamless integration optical transparency, highly efficient shielding, reliable durability and stability. The constructs conductive network, rGO...
This paper seeks to understand whether a catastrophic and urgent event, such as the first months of COVID-19 pandemic, accelerates or reverses trends in international collaboration, especially between China United States. A review research articles produced pandemic shows that had smaller teams involved fewer nations than pre-COVID-19 coronavirus research. The States were, continue be era, at center global network related research, while developing countries are relatively absent from early...
This article aims to understand the definition and dimensions of artificial intelligence (AI) literacy. Digital technologies, including AI, trigger organizational affordances in workplaces, yet few studies have investigated employees' AI uses a bibliometrics analysis 270 articles explore meaning literacy employees extant literature. Descriptive statistics, keyword co-occurrence analysis, hierarchical topic tree are employed profile research landscape identify core themes relevant papers...
This research paper explores the intersection of zero-knowledge proofs (ZKPs) and machine learning (ML), presenting a comprehensive overview recent advancements, applications, challenges in this fast growing area. The jointers ZKPs ML techniques shall go meter further to fuse privacy, security, integrity number solutions, which include forming groups for data sharing safe learning. Through investigation well-respected sites that area also thorough description formulas their experimental...
Abstract Background Gene expression data usually contains a large number of genes, but small samples. Feature selection for gene aims at finding set genes that best discriminate biological samples different types. In this paper, we present two-stage algorithm by combining ReliefF and mRMR: the first stage, is applied to find candidate set; second mRMR method directly explicitly reduce redundancy selecting compact yet effective subset from set. Results We perform comprehensive experiments...
The green synthetic route developed in this study offers a new platform for environmentally friendly emulsifiers waterborne polyurethanes.
Abstract Contact-active antibacterial surfaces play a vital role in preventing bacterial contamination of artificial surfaces. In the past, numerous researches have been focused on comprising antifouling upper-layer and sub-layer. this work, we demonstrate reversed surface structure which integrate These are prepared by simply casting gemini quaternary ammonium salt waterborne polyurethanes (GWPU) their blends. Due to high interfacial energy (GQAS), chain segments containing GQAS can...
Fringe projection profilometry (FPP) has become increasingly important in dynamic 3-D shape measurement. In FPP, it is necessary to retrieve the phase of measured object before profiling. However, traditional retrieval techniques often require a large number fringes, which may generate motion-induced error for objects. this paper, novel technique based on deep learning proposed, uses an end-to-end convolution neural network transform single or two fringes into required fringes. When object’s...
Elucidating and accurately predicting the druggability bioactivities of molecules plays a pivotal role in drug design discovery remains an open challenge. Recently, graph neural networks (GNNs) have made remarkable advancements graph-based molecular property prediction. However, current deep learning methods neglect hierarchical information relationships between feature channels. In this study, we propose well-designed informative network (termed HiGNN) framework for by utilizing...
This study aims to investigate the role of industrial Internet platform in facilitating digital transformation traditional manufacturing enterprises. While prior research has predominantly focused on enterprises, there is a noticeable dearth concerning enterprises lacking resources establish such platforms. To address this gap, we conduct an exploratory case and propose affordances upgrade model that elucidates business process these leveraging The findings can be summarized from two key...
In the context of climate change, southern slope Qilian Mountains stands as a pivotal region for China’s ecological security, holding immense significance sustaining sustainable development. This study aims to precisely monitor and predict dynamic changes in vegetation cover within this region, along with their time-lagged effects on thereby providing scientific basis management. By calculating kNDVI from 2001 2020 Google Earth Engine (GEE) platform, integrating Sen’s trend analysis, Hurst...
Whereas traditional science maps emphasize citation statistics and static relationships, this paper presents a term‐based method to identify visualize the evolutionary pathways of scientific topics in series time slices. First, we create data preprocessing model for accurate term cleaning, consolidating, clustering. Then construct simulated streaming function introduce learning process train relationship identification adapt changing environments real time, where relationships topic...