A5100715763- Wireless Power Transfer Systems
- Image Retrieval and Classification Techniques
- Environmental Impact and Sustainability
- Energy Harvesting in Wireless Networks
- AI in cancer detection
- Sustainable Industrial Ecology
- Advanced DC-DC Converters
- Digital Imaging for Blood Diseases
- Advanced Image and Video Retrieval Techniques
- Semantic Web and Ontologies
- Recommender Systems and Techniques
- 3D Modeling in Geospatial Applications
- Advanced Chemical Physics Studies
- Cancer Genomics and Diagnostics
- Process Optimization and Integration
- Cancer Research and Treatments
- Transportation Systems and Logistics
- Cancer-related Molecular Pathways
- Agricultural Development and Policies
- Wireless Networks and Protocols
- Geotechnical and Geomechanical Engineering
- Machine Learning in Materials Science
- MXene and MAX Phase Materials
- Web Data Mining and Analysis
- Sentiment Analysis and Opinion Mining
Xiamen University
2012-2023
Guizhou Normal University
2019-2023
First Affiliated Hospital of Dalian Medical University
2022
Dalian Medical University
2022
Shanghai Institute of Technology
2009-2018
Collaborative Innovation Center of Chemistry for Energy Materials
2016
First Affiliated Hospital of Jiangxi Medical College
2000
Multi-instance learning (MIL) is widely adop- ted for automatic whole slide image (WSI) analysis and it usually consists of two stages, i.e., instance feature extraction aggregation. However, due to the "weak supervision" slide-level labels, aggregation stage would suffer from severe over-fitting in training an effective MIL model. In this case, mining more information limited data pivotal WSI analysis. Different previous works on improving extraction, paper investigates how exploit latent...
Abstract Introduction: The epidermal growth factor receptor (EGFR) is a well-known oncogenic driver of non-small cell lung cancer (NSCLC). Approximately 15∼50% NSCLC patients carrying EGFR mutations reported. Despite the substantial therapeutic efficacy tyrosine kinase inhibitors (TKIs), acquired EGFR-TKI resistance presents significant challenge in clinical management NSCLCs. Proteolysis-targeting chimera (PROTAC) represents novel technology with capacity to degrade proteins, and exhibits...
For the fully resonant wireless power transfer (WPT) system, high coupling of converter and network introduced many problems, such as frequency splitting, curve peak limit, strict switch strategy. To solve these this paper proposed a new six-switch topology based on full–-bridge converter. With unique structures containing two capacitor-isolated switches source-isolated diode, system decouples network, its modes have been decoupled, called independent injection free resonance WPT (IPIFR–WPT)...
High-level quantum mechanical (QM) calculations are indispensable for accurate explanation of natural phenomena on the atomistic level. Their staggering computational cost, however, poses great limitations, which luckily can be lifted to a extent by exploiting advances in artificial intelligence (AI). Here we introduce general-purpose, highly transferable intelligence–quantum method 1 (AIQM1). It approaches accuracy ‘gold-standard’ coupled cluster QM with low speed approximate low-level...
Summary Smart agriculture is based on latest technologies in communication, big data analysis, high-performance sensors, and automatic machinery to improve the effectiveness of industry. China looking forward achieve modernization its industry through smart agriculture. But unique climate, landscape, diversity crops, large population make this task more challenging compared other counties. Herein, we present current achievements regarding policies made guide support development agriculture,...
We consider incorporating topic information into message-response matching to boost responses with rich content in retrieval-based chatbots. To this end, we propose a topic-aware convolutional neural tensor network (TACNTN). In TACNTN, between message and response is not only conducted vector generated by networks, but also leverages extra encoded two vectors. The vectors are linear combinations of words the respectively, where obtained from pre-trained LDA model their weights determined...
In a traditional inductive coupling power transfer (ICPT) system, the converter and resonant network are strongly coupled. Since coefficient parameters of usually vary, easily detunes, system efficiency, source capacity, control, soft switching conditions ICPT considerably affected. This paper presents an based on decoupled from network. proposed primary inductor is disconnected during energy injection stage. After storing certain amount energy, reconnects with Through this method, can be...
In order to compensate the large leakage inductance and improve power transmission capacity, capacitors are widely used in inductive transfer (IPT) systems, which results high voltage or current stresses resonant tanks limits higher volt-ampere (VA) rating of power, especially medium low frequency applications. This paper presents a symmetrical half-bridge converter (SHRC) for series-series/series compensated IPT systems with detailed analysis design. It operates at relatively 12.5 kHz,...
Network monitor system generally adopts packets interception, protocol analysis, address filter, and cheat etc. to achieve its functions. These methods need extra time in the process of normal data transmission, which could affect network performance especially under condition busy low server. The users will not accept drawback that reinforcing is sure have a great impact on performance. Therefore, author puts forward model with feedback function, evaluate network, meanwhile, feed back...
Intestinal ligation is the cornerstone for damage control in abdominal emergency, yet it may lead to bowel ischemia. Although intestinal avoids further peritoneal cavity pollution, an increased pressure within segments and rapid bacterial translocation. In this study, we showed that severed intestine could be readily reconnected by using silicon tubes secured rubber bands a canine model.Adult Beagle dogs, subject multiple transections hemorrhagic shock exsanguination, randomly received...
China and G7 countries contribute 70% global GDP 55% carbon emissions. The embodied in the China-G7 trade is essential for collaborative emission reduction. In this study, a multi-regional input-output model adopted to evaluate transfer between from 2000 2014, structural decomposition analysis employed study driving factors of variation. results indicate that play role net exporter with G7, which mainly flows US (5825.67 million tons), Japan (3170.36 tons) Germany (1409.93 tons). However,...
Abstract Invited for the cover of this issue are teams led by Wei Wu (Xiamen University) and Yirong Mo (University Western Michigan). The image depicts how π electron pairs (white figures) more stable when σ lone (red separated. Read full text article at 10.1002/chem.201600509 .
One major obstacle facing the research on semantic annotation is lack of large-scale testing datasets. In this paper, we develop a systematic approach to constructing such This based guided ontology auto-construction and methods which use little priori domain knowledge user in documents. We demonstrate efficacy proposed by developing dataset using information available from MeSH PubMed. The developed consists ontology, set annotated documents, baselines evaluate target algorithm, can be...
Carbon capture and storage (CCS) is an essential technology in the portfolio of emission mitigation solutions. The trade-off between fossil energy substitution CCS has important implications for achieving carbon-neutral at affordable cost. This study couples cost curve with a dynamic computable general equilibrium (DCGE) model, explores carbon scale, structure, abatement path neutrality under different penetration scenarios. results illustrate that increases fast if only relying on trading...
Carbon capture and storage (CCS) is an essential technology in the portfolio of emission mitigation solutions. The trade-off between fossil energy substitution CCS has important implications for achieving carbon-neutral at affordable cost. This study couples cost curve with a dynamic computable general equilibrium (DCGE) model, explores carbon scale, structure, abatement path neutrality under different penetration scenarios. results illustrate that increases fast if only relying on trading...