A5100376078- Advanced Algorithms and Applications
- Advanced Memory and Neural Computing
- Advanced Computational Techniques and Applications
- Simulation and Modeling Applications
- Advanced Sensor and Control Systems
- Blind Source Separation Techniques
- VLSI and Analog Circuit Testing
- Chaos-based Image/Signal Encryption
- Image Retrieval and Classification Techniques
- Ferroelectric and Negative Capacitance Devices
- Image and Signal Denoising Methods
- Organic Electronics and Photovoltaics
- Advanced Adaptive Filtering Techniques
- Integrated Circuits and Semiconductor Failure Analysis
- Conducting polymers and applications
- Traditional Chinese Medicine Studies
- Machine Fault Diagnosis Techniques
- Robotics and Sensor-Based Localization
- Building Energy and Comfort Optimization
- Advanced Measurement and Detection Methods
- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- Electromagnetic Launch and Propulsion Technology
- Interconnection Networks and Systems
- Energy Load and Power Forecasting
Fujian Medical University
2024
Fuzhou University
2024
Beihang University
2024
Fudan University
2009-2024
Fujian Provincial Hospital
2024
Zhejiang Gongshang University
2024
Hainan University
2024
Shandong University
2024
Minhang District Central Hospital
2023-2024
Guangdong Polytechnic of Science and Technology
2023
Accurate seizure prediction will transform epilepsy management by offering warnings to patients or triggering interventions. However, state-of-the-art algorithm design relies on accessing adequate long-term data. Crowd-sourcing ecosystems leverage quality data enable cost-effective, rapid development of predictive algorithms. A crowd-sourcing ecosystem for is presented involving an international competition, a follow-up held-out evaluation, and online platform, Epilepsyecosystem.org,...
Background Immune checkpoint inhibitors (ICIs) have become a high-profile regimen for malignancy recently. However, only small subpopulation obtains long-term clinical benefit. How to select optimal patients by reasonable biomarkers remains hot topic. Methods Paired tissue samples and blood from 51 with advanced malignancies were collected correlation analysis. Dynamic changes in PD-L1 (bPD-L1) expression, including mRNA, exosomal (exoPD-L1) protein soluble (sPD-L1), detected after 2 months...
Abstract High‐performance n‐type solid‐state ionic thermoelectrics (SS i‐TEs) for low‐grade heat harvesting are highly desired and challenging. Here, the design synthesis of an efficient mixed conductor via ion pair modulation is demonstrated, which consists biguanide hydrochloride (MfmCl) a poly(3,4‐ethylenedioxythiophene) (PEDOT): poly(styrenesulfonate) (PSS) polymeric complex in solid film. Theoretical calculations nano/microstructure characterization reveal that binding preference pairs...
Diaryl ethers have been prepared by direct coupling of phenols including those that bear a strong electron-attracting substituent to electron-deficient aryl halides through SNAr-based addition reactions with assistance microwave irradiation in high excellent yields within 5−10 min. No catalysts were required under our conditions.
In hands-free telephones and teleconferencing systems, acoustic echo cancellers are required, which often implemented by adaptive filters. these applications, the speech input signal of filter is highly correlated impulse response path very long. These characteristics will slow down convergence rate if well-known normalized least-mean-square (NLMS) algorithm used. The subband (NSAF) offers a good solution to this problem because its decorrelating property. However, similar NLMS-based filter,...
Visual instruction tuning has made considerable strides in enhancing the capabilities of Large Multimodal Models (LMMs). However, existing open LMMs largely focus on single-image tasks, their applications to multi-image scenarios remains less explored. Additionally, prior LMM research separately tackles different scenarios, leaving it impossible generalize cross with new emerging capabilities. To this end, we introduce LLaVA-NeXT-Interleave, which simultaneously Multi-image, Multi-frame...
A fault detection method, i.e. the short-circuit admittance parameters for linear analog ICs is proposed in this paper. Only two voltage measurements at ports of circuit are suggested to decide whether working normally. This method can be used design automatic equipment technicians there any faults circuits. The attractive merits component parameter tolerance and error reduction measurement calculation.
The memristor has been extensively used to facilitate the synaptic online learning of brain-inspired spiking neural networks (SNNs). However, current memristor-based work can not support widely yet sophisticated trace-based rules, including Spike-Timing-Dependent Plasticity (STDP) and Bayesian Confidence Propagation Neural Network (BCPNN) rules. This paper proposes a engine implement learning, consisting blocks analog computing blocks. is mimic trace dynamics by exploiting nonlinear physical...
This paper proposes and proves an important theorem its corollary for linear analog circuits, i.e., the invariance of node-voltage sensitivity sequence change sequence. Based on them, a unified fault detection dictionary method both hard soft faults in circuits is proposed. uses only one characteristic code to detect any or component. In addition, size half that original dictionary.
Recently, memristors have been widely used to implement Spiking Neural Networks (SNNs), which is promising in edge computing scenarios. However, most memristor-based SNN implementations adopt simplified spike-timing-dependent plasticity (STDP) for the online learning process. It challenging support trace-based STDP rules that neuromorphic applications. This paper proposed a versatile architecture synaptic-level rules. Especially, similarity between synaptic trace dynamics and memristor...
Asymmetric 2D BDT structure is a promising donor unit for quinoxaline photovoltaic polymer balanced<italic>J</italic><sub>sc</sub>,<italic>V</italic><sub>oc</sub>and FF.
The Bayesian Confidence Propagation Neural Network (BCPNN) has been implemented in a way that allows mapping to neural and synaptic processes the human cortexandhas used extensively detailed spiking models of cortical associative memory function recently also for machine learning applications. In conventional digital implementations BCPNN, von Neumann bottleneck is major challenge with storage access it as dominant cost. memristor non-volatile device ideal artificial synapses fuses...
ABSTRACT As a promising electron‐deficient (acceptor) unit, fluorinated benzotriazole (TAZ) was used widely to construct wide bandgap polymers for nonfullerene polymer solar cells (NF‐PSCs). However, due the S…F noncovalent interaction, unit show good planarity and strong aggregation, which not beneficial blend with elongated acceptors. Here, we tried choose new donor match TAZ expected destroy interchain aggregation of form favorable morphology blends. Two wide‐bandgap PBDTsPhPh‐T1...
This paper proposes a concise window function to build memristor model, simulating the widely-observed nonlinear dopant drift phenomenon of memristor. Exploiting non-linearity, model is applied in-situ neuromorphic solution for cortex-inspired spiking neural network (SNN), spike-based Bayesian Confidence Propagation Neural Network (BCPNN). The improved utilizing proposed able retain boundary effect and resolve lock inflexibility problem, while it simple in form that can facilitate...