A5031570958- Advancements in Battery Materials
- 3D Shape Modeling and Analysis
- Advanced Battery Materials and Technologies
- Functional Brain Connectivity Studies
- Advanced battery technologies research
- 3D Surveying and Cultural Heritage
- Advanced Algorithms and Applications
- Computational Geometry and Mesh Generation
- Face and Expression Recognition
- Image Processing and 3D Reconstruction
- Educational Technology and Pedagogy
- Air Quality Monitoring and Forecasting
- Neural dynamics and brain function
- Neurobiology of Language and Bilingualism
- Fault Detection and Control Systems
- Educational Technology and Assessment
- Advanced Harmonic Analysis Research
- Face recognition and analysis
- Advanced Statistical Methods and Models
- Radar Systems and Signal Processing
- Advanced Chemical Sensor Technologies
- Risk and Safety Analysis
- Mobile and Web Applications
- Nanocomposite Films for Food Packaging
- Herbal Medicine Research Studies
Beihang University
2011-2024
Beijing Normal University
2007-2023
Shanghai Zhangjiang Laboratory
2023
Chinese Institute for Brain Research
2022-2023
Tianjin Normal University
2023
Hubei Provincial Women and Children's Hospital
2021
Institute of Applied Physics and Computational Mathematics
2020
Shanghai University of Engineering Science
2017
Ministry of Education of the People's Republic of China
2017
Shanxi Medical University
2015
Bibliometric analysis based on literature in the Web of Science ( WOS ) has become an increasingly popular method for visualizing structure scientific fields. Keywords Plus and Author are commonly selected as units analysis, despite limited research evidence demonstrating effectiveness Plus. This study was conceived to evaluate efficacy a parameter capturing content concepts presented articles. Using papers about patient adherence that were retrieved from , comparative assessment performed...
Abstract Potassium-ion batteries (KIBs) are promising electrochemical energy storage systems because of their low cost and high density. However, practical exploitation KIBs is hampered by the lack high-performance cathode materials. Here we report a potassium manganese hexacyanoferrate (K 2 Mn[Fe(CN) 6 ]) material, with negligible content defects water, for efficient high-voltage K-ion storage. When tested in combination K metal anode, ]-based electrode enables cell specific 609.7 Wh kg −1...
The application of a layered K0.5MnO2 cathode in potassium-ion batteries is limited by its poor cycling performance when charged above 4.0 V (vs K+/K), and the underlying mechanism for this electrochemical instability still unclear. Here, it discovered that ethylene carbonate (EC) will intercalate into depotassiated K0.5MnO2, causing exfoliation compound capacity decay under high charge cutoff voltage. When carbonates are replaced with nonflammable phosphate, K+/K) significantly enhanced...
Signal modulation classification is an important research subject in both military and civilian field. This study proposed a novel blind method based on the time–frequency distribution convolutional neural network (CNN). first attempt to treat map as picture use outstanding (CNN‐based) algorithm computer vision area for signal recognition. The combination offers feature extraction strategy, some extent, which also conforms intuition. Simulation results show that this efficient robust enables...
Since 2000, the research of uncertainty quantification (UQ) has been successfully applied in many fields and highly valued strongly supported by academia industry. This review firstly discusses sources types uncertainties gives an overall discussion on goal, practical significance, basic framework UQ. Then, core ideas typical methods several important UQ processes are introduced, including sensitivity analysis, propagation, model calibration, Bayesian inference, experimental design,...
Potassium-ion batteries (KIBs) are considered as low-cost electrochemical energy storage technologies because of the abundant potassium resources. However, practical applications KIBs mainly hampered by unsatisfactory performance anode materials which often undergo large volume variations during potassiation-depotassiation, limiting their cycling life. Here, sulfurized polyacrylonitrile (S-PAN) is reported an attractive candidate for KIBs. It provides a high capacity 569 mAh g(S-PAN)-1 with...
Skin is the largest organ of human body and holds functions sensing, protecting, regulating. Since ancient times, people have decorated their skin by painting themselves, cutting, using accessories to express personality aesthetic consciousness as a kind artistic expression, one that shows development change consciousness. However, there are concerns regarding inconvenience, high time cost, negative perception with traditional tattoos. In addition, trend decoration has gradually withdrawn...
Abstract 5G cellular networks have recently fostered a wide range of emerging applications, but their popularity has led to traffic growth that far outpaces network expansion. This mismatch may decrease quality and cause severe performance problems. To reduce the risk, operators need long term prediction perform expansion schemes months ahead. However, horizon exposes non-stationarity series data, which deteriorates existing approaches. We deal with this problem by developing deep learning...
A low-defect K 2 Mn[Fe(CN) 6 ]-reduced graphene oxide composite cathode is shown to demonstrate excellent cycling stability, rate capability, and air stability for potassium-ion batteries.
The process of complex cognition, which includes language processing, is dynamic in nature and involves various network modes or cognitive modes. This can be manifested by a set brain states transitions between them. Previous neuroimaging studies have shed light on how bilingual brains support native (L1) second (L2) through shared network. However, the mechanism this enables L1 L2 processing remains unknown. study examined issue testing hypothesis that associated with distinct state...
GMM and SVM models with different advantages disadvantages were often used in speaker recognition system. The Principle the characteristics of analyzed paper. method combining as model, mean parameters input, which not only can realize an accurate description voice fewer parameters, but also achieve purpose compressed data for SVM. Experimental results shown system based on effectively improve rate.
One of the main challenges on digital preservation cultural heritage is to reassemble broken fragments. However, large amounts fragments are mixed randomly when discovered, which brings terrific difficulties for their reassembly. This paper introduces an automatic approach positioning archaeological come from a particular kind artifact. The idea position based partial matching between and complete artifact model using multi-scale, informative robust Heat Kernel Signature. pipeline contains...
Recent studies have shown that the brain functional connectome constitutes a unique fingerprint allows identification of individuals from group. However, what information encoded in makes us remains elusive. Here, we addressed this issue by examining how individual identifiability changed along language hierarchy. Subjects underwent fMRI scanning during rest and when listening to short stories played backward, scrambled at sentence level, forward. Identification for was performed between two...
Chinese ancient architecture is well known for its unique shape styles and complex constructions, which results in a complicated 3D modeling process. In contrast to the existing procedural method generates architectures relying on fixed rules, our data-driven approach aggregate information from model collections realize analysis, inference synthesis of components spontaneously. For proprietary properties building models, this paper describes framework complete procedure representation...
Pavement crack detection is a key technology used to judge whether the road safe or not. Due complex and diverse background of cracks, traditional algorithm difficult accurately detect cracks. In this paper, YOLOv5 with strong portability Mosaic data enhancement method enrich targets at input end improve effect small targets. The Backbone CSP structure divides into two branches, which greatly reduces computational load while enhancing learning performance entire convolutional neural network....
One of the major challenges in mesh‐based deformation simulation computer graphics is to deal with mesh distortion. In this paper, we present a novel mesh‐insensitive and softer method for simulating deformable solid bodies under assumptions linear elastic mechanics. A face‐based strain smoothing adopted alleviate distortion instead traditional spatial adaptive method. Then, propose way combine corotational With approach, amplitude frequency transient displacements are slightly affected by...